From alberto.bacci at icm-institute.org Sat Jun 1 17:55:14 2024 From: alberto.bacci at icm-institute.org (BACCI Alberto) Date: Sat, 1 Jun 2024 21:55:14 +0000 Subject: Connectionists: Postdoctoral position in synaptic and circuit neuroscience at the Paris Brain Institute Message-ID: A Postdoctoral position is available at the ICM - Paris Brain Institute in the group of Alberto Bacci. The ICM is in the heart of Paris, France, part of the Piti?-Salp?tri?re Hospital, and has a vibrant, multidisciplinary, and internationally recognized neuroscience community. The Project: Our research mainly focuses on the cellular physiology of various elements of cortical microcircuits, the properties and plasticity of their synaptic connections and their contribution to the generation of various cognition-relevant network activities. Through our collaborators, we also study cortical circuit deficits in several animal model of brain disease. The lab uses a combination of single and multiple-cell electrophysiology, 2-photon imaging and electrophysiology in vivo, pharmacology, anatomy, immunocytochemistry, optical manipulations of specific neuron types and computational approaches (through established collaborations). Check our lab website for details and publications: http://baccilab.org/ The successful candidate will work on inhibitory circuits of the prefrontal cortex of mice. In particular, s/he will study the properties and plasticity of synapses connecting a rich diversity of prefrontal cortical neuron subtypes. The successful candidate will also perform and analyze electrophysiological recordings in vivo, using high-density Neuropixels probes. This project is funded by an ERA-Net NEURON international consortium and is focused on the rich diversity of GABAergic interneurons and how they affect the functional states of prefrontal cortical networks in healthy and diseased states. Your Profile: ? Applicants must have a background in neuroscience. They must hold (or are expected to complete soon) a Ph.D. or equivalent degree in biology, medicine, physics or bioengineering. ? Excellent verbal and written communication skills in English are required. ? Experience with in vivo electrophysiology, imaging and/or computational neuroscience is appreciated but not required. ? Coding knowledge is appreciated. Applications must consist of a single pdf file and must be sent to alberto.bacci at icm-institute.org (subject line must be: Postdoc Application Bacci; DS) Please include: * Curriculum Vitae (CV) * 1 page summary of previous research * Brief statement of current research interest * Contact information of at least two referees Highly motivated candidates are encouraged to apply. Applications will be reviewed until the position is filled. Contact Information: Alberto Bacci, Ph.D. ICM - Institut du Cerveau | Paris Brain Institute 47 Boulevard de l'Hopital 75013 Paris, France phone: +33 1 5727 4062 email: alberto.bacci at icm-institute.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Jun 2 17:47:14 2024 From: dhansel0 at gmail.com (David Hansel) Date: Mon, 3 Jun 2024 00:47:14 +0300 Subject: Connectionists: World wide VVTNS series: Wednesday, June 5 at 11am (EDT), Stephanie Palmer, University of Chicago | Using ML tools in neuroscience to define optimality in complex natural behaviour In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture given by Stephanie Palmer University of Chicago on the topic of *Using ML tools in neuroscience to define optimality * *in complex natural behaviour* The lecture will be held on zoom on *June 5, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *Biological systems must selectively encode partial information about the environment, as dictated by the capacity constraints at work in all living organisms. For example, we cannot see every feature of the light field that reaches our eyes; temporal resolution is limited by transmission noise and delays, and spatial resolution is limited by the finite number of photoreceptors and output cells in the retina. Classical efficient coding theory describes how sensory systems can maximize information transmission given such capacity constraints, but it treats all input features equally. Not all inputs are, however, of equal value to the organism. Our work quantifies whether and how the brain selectively encodes stimulus features, specifically predictive features, that are most useful for fast and effective movements. We have shown that efficient predictive computation starts at the earliest stages of the visual system in the retina. We borrow techniques from machine learning, statistical physics, and information theory to assess how we get terrific, predictive vision from these imperfect (lagged and noisy) component parts. In broader terms, we aim to build a more complete theory of efficient encoding in the brain, and along the way have found some intriguing connections between approaches to coarse graining in biology, machine learning, and physics. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? ? ? ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From stm at socio.org.uk Mon Jun 3 03:03:18 2024 From: stm at socio.org.uk (STM STMet 2024) Date: Mon, 3 Jun 2024 12:33:18 +0530 (IST) Subject: Connectionists: Digital Data Processing 2024 Message-ID: <1111150221.3484204.1717398198474@ap1.myprofessionalmail.com> Fourth International Conference on Digital Data Processing (DDP 2024) Yeshiva University. New York. US September 30-October 01, 2024 (www.socio.org.uk/ddp) (IEEE approval in progress) As technology advances in different sub-domains of computing, data-driven models are becoming increasingly important. The data-dependent world now faces many challenges in terms of data accuracy and data privacy. High-impact advancements include machine learning, artificial intelligence, deep learning and many more. Data is growing exponentially in terms of diversity and complexity. One organization or industry processes over a few million transactions per hour and stores hundreds of billions of data. We live in a world with a great need for more efficient data analysis and processing. Data analytics can reveal hidden patterns, complex relationships, internal information relations, and even segmentation. Data applications have opened up new possibilities in every aspect of our lives. Studying data and its structure, dynamics, and modern data technologies is ongoing. There is a great deal of literature and research on data management, but it does not address the data processi! ng needs. Many studies focus on developing models and systems for analyzing large datasets. Data analysis leads to application domains that have a systematic impact on decisions. The knowledge gained from the data analysis enables the generation of critical information for multiple domains. In this conference, we review and discuss the latest trends in data management, the opportunities and challenges, and how they have affected organizations' ability to develop effective business and technology strategies and stay up-to-date in data technology. We also highlight current open research directions in data analytics that need further attention. The proposed conference will discuss topics not limited to Data applications in various domains and activities Data in cloud Real-world data processing Data inaccuracy and reliability issues Data Ecosystem Business Analytics New data analytics techniques Physical and management challenges Synthetic data Data synthesis Crowdsourcing and Sensing Data modelling Deep learning techniques Data fusion Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics Machine learning impact on data processing Network optimization Data in Biomedical Engineering Data in Materials science and mechanics Data handling and applications in domains Wireless Networking Data Management Data of Electronic & Embedded Systems Multi-media Systems Data Artificial Intelligence Models and Systems Data E-Computing Data Renewable Energies Data General Chair Honggang Wang, Yeshiva University, USA Program Chairs Youshan Zhang, Yeshiva University, USA Ezendu Ariwa, Warwick University, UK Simon Fong, University of Macau, Macau Program Co-chairs Martin Loperz, University of Vigo, Spain Keynote Speakers 1. Xiaofan (Fred) Jiang, Columbia University 2. Edwin Chihchuan Kan, Cornell University Publications Modified versions of the papers will appear in the following journals. Journal of Digital Information Management International Journal of Computational Linguistics International Journal of Distributed Systems and Technologies Important Dates Submission of Workshop Proposals: April 10, 2024 Submission of Papers: June 15, 2024 Notification of Acceptance/Rejection: July 20, 2024 Camera-ready: September 01, 2024 Registration: September 01, 2024 Conference Dates: September 30- October 01, 2024 Paper submission Papers should follow the IEEE template. Submissions at http://socio.org.uk/ddp/paper-submission/ Contact: stm at socio.org.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Mon Jun 3 08:20:00 2024 From: efipatm at gmail.com (Efi) Date: Mon, 3 Jun 2024 15:20:00 +0300 Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Prof. Marco Baroni: "Unnatural Language Processing: On the Puzzling Out-of-Distribution Behavior of Language Models", June 6, 2024 - 15:00 CEST Message-ID: Dear AI scientist/engineer/student/enthusiast, Professor Marco Baroni (Universitat Pompeu Fabra) will deliver the e ? lecture: ?*Unnatural Language Processing: On the Puzzling Out-of-Distribution Behavior of Language Models*? on *6th June 2024, 15:00 CEST.* See details in: https://www.i-aida.org/events/unnatural-language-processing-on-the-puzzling-out-of-distribution-behavior-of-language-models/ Registration form: http://www.hitz.eus/webinar_izenematea The *International AI Doctoral Academy (AIDA) *, a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , is very pleased to offer you top quality scientific lectures in the framework of AIDA AI Excellence Lecture Series on several current hot AI topics. Lectures will be offered alternatingly by: - Top highly cited senior AI scientists internationally or - Young AI scientists with promise of excellence (AI sprint lectures) These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list . Best regards Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, J. Stefanowski AIDA AI Excellence Lecture Series committee members -------------- next part -------------- An HTML attachment was scrubbed... URL: From elio.tuci at gmail.com Mon Jun 3 05:58:18 2024 From: elio.tuci at gmail.com (Elio Tuci) Date: Mon, 3 Jun 2024 11:58:18 +0200 Subject: Connectionists: CfP WIVACE 2024 Workshop - Deadline extended 14/6/2024 Message-ID: Call for Papers: XVIII International Workshop on Artificial Life and Evolutionary Computation - WIVACE2024 ABSTRACT/PAPER SUBMISSION DEADLINE EXTENDED TO 14 JUNE 2024 !!!! September 11-13, 2024, Namur, Belgium Up-to-date information at https://events.info.unamur.be/wivace2024/ Scope of the Conference The International Workshop on Artificial Life and Evolutionary Computation aims at bringing together researchers working in Artificial Life (ALife) and Evolutionary Computation to present and share their research in a multidisciplinary context. The workshop provides a forum for the discussion of new research directions and applications in these fields, where different disciplines can effectively meet. In particular, the workshop brings together computer scientists, mathematicians, biologists, psychologists, and cognitive scientists to discuss issues related to the original of life, evolution and adaption, collective and social behaviours and other topics related to the development of technological solutions inspired by biological principles. The workshop is based on singe-track sessions, with oral and poster presentations. The workshop is structured using a format specifically though to allow doctoral students and early career researchers to meet in or der to discuss their ideas and to disseminate their work in a collaborative and constructive environment. Relevant Research Areas WIVACE 2024 welcomes contributions dealing with any aspect of Artificial Life (ALife) and Evolutionary Computation (EvolComp). Topics of interest include: - theoretical and empirical research in ALife and EvolComp - application of ALife and EvolComp methods to real-world problems Full list of topics available at https://events.info.unamur.be/wivace2024/ Important Dates Submission deadline: June 7, 2024 EXTENDED TO 14 JUNE 2024 Notification of acceptance: August 9, 2024 Workshop: September 11-13, 2024 Submission of post-workshop version: 18 October 2024 Publication Details Workshop proceedings will be published by Springer in the CCSI series. All published contributions are peer-reviewed. Contributions may be submitted in one of the following forms: Full research papers (up to 12 pages) (published in the proceedings) Extended abstracts (1-4 pages) (published in the proceedings) Summaries of already published papers (1-4 pages) (not published in the proceedings) Please submit papers at: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FWIVACE2024 Local Chair Timoteo Carletti (Namur Institute for Complex Systems, University of Namur) Elio Tuci (Namur Institute for Complex Systems, University of Namur) Thierry-Sainclair Njougouo (Namur Institute for Complex Systems, University of Namur) More detailed information at https://events.info.unamur.be/wivace2024/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From kkpatel7 at gmail.com Mon Jun 3 13:21:51 2024 From: kkpatel7 at gmail.com (KK Patel) Date: Mon, 3 Jun 2024 22:51:51 +0530 Subject: Connectionists: Call for Workshops / Special Sessions proposals: Springer icSoftComp2024 (2024 6th International Conference on Soft Computing and its Engineering Applications) Message-ID: ** Sincere apologies if you receive multiple copies of this email ** *Call for Workshops / Special Sessions proposals:* The 2024 6th International Conference on Soft Computing and its Engineering Applications (icSoftComp2024) invites proposals for full-day workshops or half-day special sessions. https://www.charusat.ac.in/icSoftComp2024/cfw.php https://www.charusat.ac.in/icSoftComp2024/cfss.php icSoftComp2024 will take place in Bangkok, Thailand during December 10?12, 2024. It is the premier forum for technical exchange on soft computing and its engineering applications. *Aim and Scope* The aim of the workshops / special sessions is to complement the conference program with in-depth forums that are dedicated to a specific topic related to scope of icSoftComp2024. Proposals from industry and academia are welcome. Workshops / Special sessions will have their papers published in the conference proceedings. Conference series link: https://link.springer.com/conference/icsoftcomp *Submission guidelines * Each icSoftComp2024 workshop / special session proposal has to be submitted in a single PDF file, and must include: - Name and abbreviation of the workshop. - Names, addresses, and a short (200 words) bio of the Organizing Committee members. - A brief description of the technical focus addressed by the workshop/Special session, reasons why the workshop/Special session is of interest at this time, and reasons why this area is important in the context of icSoftComp2024. - The planned format of the workshop/Special session, including a strategy to facilitate lively and interactive discussions. - If applicable, a description of past events of the workshop/Special session, including statistics of submitted/accepted papers and attendee numbers. If the workshop/Special session does not have past editions, please provide estimates and explain a strategy on how to reach the targets of paper submissions and attendees. - Publicity and advertising plan to attract paper submissions and attendees. - A draft of 1-page "Call for Papers" including title, description, topics and important dates. *Submission for Workshop/Special session proposal is due on 15/06/2024* Submission of workshop/Special session proposals should be sent through email to the Technical Program chair: K. K. Patel, kanupatel.mca at charusat.ac.in Charotar University of Science and Technology (CHARUSAT) (Center of Excellence by Govt. of Gujarat) (Accredited "A+" grade by NAAC, GoI) Changa, India warm regards, K. K. Patel, Ph.D. Cell#: +91-820 010 3724 https://www.charusat.ac.in/icSoftComp2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Bill.Stine at unh.edu Mon Jun 3 10:48:23 2024 From: Bill.Stine at unh.edu (William Stine) Date: Mon, 3 Jun 2024 14:48:23 +0000 Subject: Connectionists: Fechner Day 2024 in Kanpur India Message-ID: Dear Colleagues, We are happy to invite you to the 40th Annual meeting of the International Society for Psychophysics. The event will be held from the 7th to the 9th of October, 2024, at the Indian Institute of Technology, Kanpur, India. Call for abstracts and papers: Submission is now open! Please send us your abstract by 20th of June. Registration will be open from 15th of June to 30th of July. Lectures and poster sessions will be held during the days, while in the evenings you are invited to join us at the social events. Here you can find all the relevant current information: https://2024.fechnerday.com/ If you have any queries, please write to contactfd24 at gmail.com. Warm regards and hope to see you in October, The Fechner Day 2024 Organizing Committee. Thanks. Best regards, Narayanan Dr. Narayanan Srinivasan Organizing Committee Chair Professor Department of Cognitive Science Indian Institute of Technology Kanpur India Wm Wren Stine President, International Society for Psychophysics https://www.ispsychophysics.org/ Department of Psychology Program in Neuroscience & Behavior McConnell Hall University of New Hampshire Durham, NH 03824 USA +01 (603) 862-2823 bill.stine at unh.edu TTY: 7-1-1 or +01 (800) 735-2964 (Relay NH) https://unh.zoom.us/j/9372229656 -------------- next part -------------- An HTML attachment was scrubbed... URL: From pfbaldi at ics.uci.edu Mon Jun 3 21:26:56 2024 From: pfbaldi at ics.uci.edu (Baldi,Pierre) Date: Mon, 3 Jun 2024 18:26:56 -0700 Subject: Connectionists: short Op-ed to address AI problems Message-ID: <26716321-10c0-4024-9813-1400427c5b08@ics.uci.edu> I would appreciate feedback from this group,especially dissenting feedback,? on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution:? create? a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -------------- next part -------------- A non-text attachment was scrubbed... Name: AI-CERN-Baldi2024FF.pdf Type: application/pdf Size: 49332 bytes Desc: not available URL: From dr.fahed.alkhabbas at gmail.com Mon Jun 3 16:38:21 2024 From: dr.fahed.alkhabbas at gmail.com (Dr.Fahed Alkhabbas) Date: Mon, 3 Jun 2024 22:38:21 +0200 Subject: Connectionists: =?utf-8?q?Extended_deadline=3A_The_11th_Internati?= =?utf-8?q?onal_Conference_on_Internet_of_Things=3A_Systems=2C_Mana?= =?utf-8?q?gement_and_Security_=28IOTSMS_2024=29=2C_Malm=C3=B6=2C_S?= =?utf-8?q?weden=2E_September_2-5=2C_2024?= Message-ID: The 11th International Conference on Internet of Things: Systems, Management and Security (IOTSMS 2024) https://emergingtechnet.org/IOTSMS2024/index.php Malm?, Sweden. September 2-5, 2024 Technically Co-Sponsored by IEEE Sweden Section *IOTSMS 2024 CFP* The Internet of Things (IoT) technology offers unprecedented opportunities to interconnect human beings as well as Machine-to-Machine (M2M), whereby networks across the edge-cloud continuum allow all things to communicate and share vital information, allowing us to have an instrumented universe where accurate data is readily available to inform optimal decision making. Indeed, the IoT has opened up for the development of novel types of services and applications in various application domains. It has changed how people go about their lives. The number of heterogeneous objects connected to the Internet is growing very fast. Ericsson estimates the number will be close to 38 billion objects by 2029. Others believe the actual number will be even higher with the assumption that any object with a simple microcontroller and on-off switch will be connected to the Internet in the near future. The scale of the IoT is set to have major economic, social, and environmental impacts; the intersection of which forms the future sustainable growth. The international conference on Internet of Things: Systems, Management, and Security (IoTSMS) aims at soliciting original ideas on the broad area of IoT, including challenges and opportunities, concepts and applications, and future trends. The IoTSMS aims to facilitate discussions among academics and IoT practitioners and make positive contributions to the field. The topics of interest include (but are not limited to): * Emerging concepts of IoT Systems * Architectures of IoT systems * Machine-to-Machine Communication and IoT * Modelling of IoT applications * SDN and NFV support for IoT applications and Systems * Fog and Edge support for IoT Applications * 5G support for IoT Applications * IoT for Smart Cities * Energy management in IoT * Design methodologies for IoT * IoT for sustainable digitalization * IoT and Social benefits/impact * IoT Economics and Business Models * Emerging Internet of Things business models and process changes * Communication systems and network architectures for the IoT * IoT and Data Management * Security and privacy of IoT * Reliability of IoT * Trustworthy IoT systems * Disaster recovery in IoT * Applications of Internet of things * Emerging applications and interaction paradigms for everyday citizens * Big data and IoT * Self-organizing IoT * Cloud Computing and IoT * Smart IoT systems * Dynamic IoT systems * Simulations in IoT environments *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format (IEEE Templates ). All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least two reviewers. Accepted papers will appear in the IoTSMS Proceeding and to be submitted to IEEE Xplore for inclusion. The proceedings are also submitted for indexing to EI (Compendex), Scopus and other indexing services like DBLP. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers must not exceed 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. *Important Dates* Submission Date: 1 June 2024 20 June 2024 Notification to Authors: 15 July 2024 Camera Ready Submission: 1 August 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Tue Jun 4 04:46:39 2024 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Tue, 4 Jun 2024 08:46:39 +0000 Subject: Connectionists: Register by June 21st for UK Neural Computation 2024 (July 8 -10th) In-Reply-To: References: Message-ID: Register now for the UK Neural Computation meeting 2024 (Sheffield 8-10th July): https://neuralcomputation.uk/ UKNC is a national meeting for everyone interested in the computations of the brain, both experimentally and theoretically. Speakers include: Andrew Adamatzky; Geoff Goodhill; Dan Goodman; Tim O?Leary; Rasmus Petersen; Rui Ponte Costa; Huiling Tan; Yulia Timofeeva; Mark van Rossum; Eleni Vasilaki. Keynote: Randy Bruno Register by 21st June 2024 Discounted accommodation options also available. 8 July: ECR day. ~40 places are available 9-10 July: main meeting Enquiries: uknc24 at sheffield.ac.uk Organisers Hannes Saal (Sheffield) Stuart Wilson (Sheffield) Mark Humphries (Nottingham) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From heather at incf.org Tue Jun 4 05:09:27 2024 From: heather at incf.org (Heather Topple) Date: Tue, 4 Jun 2024 11:09:27 +0200 Subject: Connectionists: Abstracts closing Friday, early bird reg, & more - INCF Neuroinformatics Assembly 2024 Message-ID: Hello! We at INCF would appreciate it if you could forward the information below to your relevant networks in neuroscience, AI, computer and data science. Thank you! /Heather INCF Project Assistant *Join us at the INCF Neuroinformatics Assembly 2024 on Sep 23-25 at the University of Texas at Austin!* The meeting is followed by 3 training courses: Driving collaboration in neurophysiology with NWB and DANDI, Introduction to reproducible neuroimaging data processing and analysis, and DataJoint pipelines for your neuroscience experiments on Sep 26-27. The INCF Assembly is a unique venue where neuroscience standards developers, infrastructure providers, and software developers have the opportunity to interact with the research community to share the latest advancements in neuroinformatics. This year's theme Brain Meets AI: Pioneering the Future of Neuroinformatics Abstract submission and early bird registration are open - make sure to register before Jun 28 to get the early bird price! *Abstract submission is open until Fri Jun 7 via this link .* Note: You need to be signed in to submit an abstract, but you don?t need to be an INCF member to create an account. Our keynote speakers are Elisabeth Bik (Microbiome Digest), Timo Dickscheid (J?lich Research Cente), Hanchuan Peng (SEU-ALLEN Joint Center), Danilo Bzdok (Mila - Quebec Artificial Intelligence Institute), and Viktor Jirsa (Institut de Neurosciences des System?s). See you at Assembly 2024! /The INCF Team ---------------------------- Heather Topple, BSc *Project Assistant* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels v?g 15A, SE-171 77 Stockholm. Sweden Email: heather at incf.org Phone: +46 085 248 70 65 incf.org neuroinformatics.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From stm at socio.org.uk Tue Jun 4 05:51:50 2024 From: stm at socio.org.uk (STM STMet 2024) Date: Tue, 4 Jun 2024 15:21:50 +0530 (IST) Subject: Connectionists: Real-Time Intelligent Systems 2024 Message-ID: <247230205.3897178.1717494710633@ap1.myprofessionalmail.com> Sixth International Conference on Real-Time Intelligent Systems (RTIS 2024) Tien Giang University My Tho (near Ho-chi-Minh) Vietnam October 17-19, 2024 www.socio.org.uk/rtis Springer Lecture Notes in Networks and Systems (LNNS) The International Conference on Real-time Intelligent Systems (RTIS) has traveled from Beijing, China (2016), to Ho-Chi-Min, Vietnam. The sixth edition will take place at Tien Giang University. Over the last few years, real-time intelligent computing has radically transformed the human lifestyle. Research on real-time intelligent systems is multi-disciplinary, exploiting concepts from diverse areas such as big data processing, computational intelligence, location-based services, recommendation systems, and multimedia processing. In today?s highly dynamic environment, analysing data in real-time is necessary to understand how systems process data, reason the outputs, and anticipate trends in intelligent computing. To this end, this conference will serve as a platform to manifest the ongoing research in the field. Thus, RTIS welcomes theoretically grounded, methodologically sound papers that address aspects related to topics, such as: Artificial Intelligence and Data mining Streaming data, streaming engines Trace-based intelligent real-time services Adaptive vision algorithms Location-based services Intelligent Robotic Systems Collaborative Intelligence Data capture in real-time Data quality and cleansing Intelligent Data Analysis Intelligent Database Systems Knowledge representation and reasoning Intelligent information fusion Large Language Models, cognitive methods, sequential inference, data mining, pattern/behavioral analysis, Big Data systems and applications for high-velocity data Intelligent Information Systems Privacy and security in Intelligence Software Engineering Solutions Intelligent Soft Computing Real-time multiprocessor systems Internet of Things Architectures for Intelligence Real-time distributed coding Smart services and platforms Real-time modelling user information needs Wireless Communication Real-time intelligent communication Real-time intelligent network solutions Mobile Smart Systems Broadband Intelligence Cloud Computing and Intelligence Collaborative Intelligence Analysis in domains such as energy, sensors Decision support systems in real-time Multi-agent Intelligent Systems Multilingual information access Recommendation systems Real-time intelligent alert systems Real-time remote access systems Intelligent Transportation Systems Autonomous systems (incl. autonomous vehicles and drones) Distributed systems Cloud/edge computing/fusion Defence/security, robotics, aerospace, intelligent transportation Mining/Manufacturing Environmental monitoring Critical Real-time Applications Real-time noise removal systems Event-driven analytics Intelligent Fuzzy Systems Machine translation in real-time OLAP for real-time decision support Crowdsourcing and crowd intelligence Submission, proceedings Papers must be submitted online through OpenConf. Author instructions and LaTex2e (preferred) and Word macro files are available on the submission page. Submitted papers should be at most 14 pages (long papers) and 8 pages (short ones), including figures, tables and references (in the Springer template). Authors of accepted papers are required to transfer their copyrights. For a paper to appear in the proceedings, at least one of the authors MUST register for the conference by the camera-ready submission deadline with a full registration. Springer?s Lecture Notes in Networks and Systems (LNNS) (https://www.springer.com/series/15179) will publish the accepted papers and be indexed in SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, and SCImago. All the papers published in the series are submitted for consideration in the Web of Science. Important Dates Submission of papers: August 05, 2024 Notification: September 01, 2024 Camera-ready: October 01, 2024 Registration: October 01, 2024 Conference Dates: October 17-19, 2024 Honorary Chair Vo Ngoc Ha, Tien Giang University, Vietnam General Chairs Le Minh Tung, Tien Giang University, Vietnam Mart?n L?PEZ-NORES, University of Vigo, Spain Program Chairs Nguyen Hoang Vu, Tien Giang University, Vietnam Pit Pichappan, Digital Information Research Labs, India & UK Dion Goh Hoe Lian, Nanyang Technological University, Singapore Co-Program Chairs Duong Van Hieu, Tien Giang University, Vietnam Ricardo Rodriguez-Jorge, Technological Centre Ceit, Spain Pavel Losket, Zhejiang University-University of Illinois at Urbana Champaign Institute, China Organizing Chair Cao Nguyen Thi, Tien Giang University, Vietnam Publicity Chair Beniysa Mohsin, LTI laboratory, Abdelmalek Essa?di University, Morocco Paper submission at https://socio.org.uk/rtis/paper-submission/ Contact- stm at socio.org.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From hans.ekkehard.plesser at nmbu.no Tue Jun 4 11:42:18 2024 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 4 Jun 2024 15:42:18 +0000 Subject: Connectionists: =?windows-1252?q?NEST_Conference_2024_=97_Registe?= =?windows-1252?q?r_by_Friday!?= Message-ID: Dear Colleagues, We are looking forward to an exciting Virtual NEST Conference 2024 on Monday/Tuesday 17./18. June 2024. This years program includes keynotes by Tadashi Yamazaki, University of Electro-Communications, Japan Diversity and inclusion: Distributed simulation of multiple brain and body models in multiple simulators on multiple computers across multiple organizations Benedetta Gambosi, University of Pavia A multiarea model predicts the changes in thalamocortical beta oscillations caused by dopamine depletion in basal ganglia and cerebellum Tobias Gemmeke, RWTH Aachen Accelerated Simulation of Biological Neural Networks Behnam Ghazinouri, Ruhr-Universit?t Bochum The attractor dynamics of behavioral flexibility in spatial and reversal learning complemented by contributed talks, posters and a workshop Introducing Arbor. For the full program an to register, please see https://nest-simulator.org/conference. Registration deadline is this FRIDAY, 7 June 2024. We are looking forward to seeing you at the NEST Conference 2024! Hans Ekkehard Plesser -- Prof. Dr. Hans Ekkehard Plesser Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser -------------- next part -------------- An HTML attachment was scrubbed... URL: From maria.pavlovic at tuebingen.mpg.de Wed Jun 5 01:23:02 2024 From: maria.pavlovic at tuebingen.mpg.de (Pavlovic, Maria) Date: Wed, 5 Jun 2024 05:23:02 +0000 Subject: Connectionists: Call for contribution and registration for Systems Vision Science Virtual Symposium July 12, 2024 Message-ID: <935139b226ab44dfb1bedbd0959a79c2@tuebingen.mpg.de> Systems Vision Science Virtual Symposium: July 12th, 2024 -------------------------------- Systems Vision Science Virtual Symposium takes place on July 12th, 2024, 15:00-19:00 German time, as the end of the Systems Vision Science Virtual Summer School. This summer school and symposium are the virtual editions of the onsite summer school and symposium in 2023. We invite contribution and free registrations for this symposium. The presentations at the symposium will include two keynote speeches (30 minutes each) and contributed speeches (15 minutes each). The topics of the presentations will be any topic of Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover and investigate functions and algorithms for vision in various brain regions and their implementations in neural circuits. -------------------------------- To contribute or register, please fill out our registration form (including an abstract for contribution), which can be found here: https://summerschool.lizhaoping.org/Form-to-register-or-submit-a-contributio n-to-the-SVS-symposium-2024.docx and send the filled form to svs.summerschool at tue.mpg.de Please direct inquiries to svs.summerschool at tue.mpg.de . -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Junhao Liang Ali Gholamzadeh Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org -------------- next part -------------- An HTML attachment was scrubbed... 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Name: smime.p7s Type: application/pkcs7-signature Size: 6707 bytes Desc: not available URL: From dhansel0 at gmail.com Tue Jun 4 15:39:57 2024 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 4 Jun 2024 22:39:57 +0300 Subject: Connectionists: REMINDER: World wide VVTNS series: Wednesday, June 5 at 11am (EDT), Stephanie Palmer, University of Chicago | Using ML tools in neuroscience to define optimality in complex natural behaviour In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture given by Stephanie Palmer University of Chicago on the topic of *Using ML tools in neuroscience to define optimality * *in complex natural behaviour* The lecture will be held on zoom on *June 5, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *Biological systems must selectively encode partial information about the environment, as dictated by the capacity constraints at work in all living organisms. For example, we cannot see every feature of the light field that reaches our eyes; temporal resolution is limited by transmission noise and delays, and spatial resolution is limited by the finite number of photoreceptors and output cells in the retina. Classical efficient coding theory describes how sensory systems can maximize information transmission given such capacity constraints, but it treats all input features equally. Not all inputs are, however, of equal value to the organism. Our work quantifies whether and how the brain selectively encodes stimulus features, specifically predictive features, that are most useful for fast and effective movements. We have shown that efficient predictive computation starts at the earliest stages of the visual system in the retina. We borrow techniques from machine learning, statistical physics, and information theory to assess how we get terrific, predictive vision from these imperfect (lagged and noisy) component parts. In broader terms, we aim to build a more complete theory of efficient encoding in the brain, and along the way have found some intriguing connections between approaches to coarse graining in biology, machine learning, and physics. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? ? ? ? -- ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From oscar.fontenla at udc.es Tue Jun 4 13:45:30 2024 From: oscar.fontenla at udc.es (=?iso-8859-1?Q?=D3scar_Fontenla_Romero?=) Date: Tue, 4 Jun 2024 17:45:30 +0000 Subject: Connectionists: [CFP] Workshop on AI in Education and Educational Research (ECAI 2024) Message-ID: Call for Papers: International Workshop on AI in Education and Educational Research (AIEER 2024) Event Dates: October 19-20, 2024 Location: Part of the 27th European Conference on Artificial Intelligence (ECAI 2024) Scope We invite submissions exploring AI's impact on education, from both technical and interdisciplinary perspectives: 1. AI Techniques in Education: * AI-driven educational tools and systems * Learning analytics and data-driven insights * Personalized learning environments * Intelligent tutoring systems 2. Interdisciplinary Approaches: * Ethical implications of AI in education * Socio-cultural impacts * Policy and governance issues * AI in lifelong learning and vocational training Important Dates * Submission Deadline: Extended to June 14, 2024 * Notification of Acceptance: July 15, 2024 * Camera-Ready Deadline: July 31, 2024 Submission Guidelines Submit papers formatted according to ECAI 2024 guidelines, with a maximum of 7 pages for full papers and 4 pages for preliminary results or visionary outlooks. For detailed information and submissions, visit the workshop page. Contact For queries, contact Francisco Bellas (francisco.bellas at udc.es) or Jens D?rpinghaus (jens.doerpinghaus at bibb.de). -------------- next part -------------- An HTML attachment was scrubbed... URL: From Laura.Cariola at ed.ac.uk Wed Jun 5 01:36:33 2024 From: Laura.Cariola at ed.ac.uk (Laura Cariola) Date: Wed, 5 Jun 2024 05:36:33 +0000 Subject: Connectionists: Call for Contributors: THE HANDBOOK OF LANGUAGE, DISCOURSES AND MENTAL HEALTH Message-ID: Handbook of Language and Mental Health Editor, Dr Laura A. Cariola (University of Edinburgh, Clinical and Health Psychology) I am pleased to announce the development of a very exciting new project: The Handbook of Language, Discourse and Mental Health. The Handbook is a single-volume, edited work of reference, mainly aimed at a scholarly market. The book will present a theoretical and research-based state-of-the art comprehensive overview of an interdisciplinary field by bringing together a range of critical and pluralistic perspectives. The Handbook aims to include chapters on a range of topics that critically consider key historical themes and enduring debates, main theoretical and philosophical stances, examine main methodologies paradigms and scholarly traditions, and consider future trajectories within the field of language and mental health as well as the implications to individuals with lived experience. The Handbook is intended to be one of the most significant publications available for scholars in these fields. We are currently seeking contributors for The Handbook of Language, Discourse and Mental Health, so please find below some relevant information on Handbooks. Wish List of Chapter Topics: * Research practice and methodological approaches, such as ethics in language and mental health research, qualitative and quantitative methodological approaches, and ethics and methods of data collection. * Language and mental health conditions, such as the language of the DSM, language of specific mental health disorders [e.g., depression and suicide; ADHD, dementia; neurodiversity; psychosis; eating disorders; language in psychotherapy and counselling; language and typical and atypical child development]. * Pathologising, stigmatising mental health discourses, and best representation practices. Stigmatising media representations, focusing on specific populations including LGBTQI+, misogyny, migrants, refugees and asylum seekers, ethnicity, and race as well as alternative and stigma-free portrayals. * AI, language and mental health, such as machine learning, large language models, Web and Smartphone Apps, chatbots and online therapy. This list is not exhaustive and authors are welcome to propose another chapter topic if it is relevant to the theme of language and mental health. Please send your book chapter proposal of up to 300 words with an author?s bio (50 words per author) to Dr. Laura Cariola (Laura.Cariola at ed.ac.uk) Submission deadline of book chapter proposal: 15 June 2024 Dr. Laura A. Cariola CPsychol Programme Director MSc Mental Health in Children and Young People: Psychological Approaches (Online Learning) | Lecturer in Applied Psychology (ODLP) | The University of Edinburgh | Clinical and Health Psychology | School of Health in Social Science | Old Medical School | Elsie Inglis Quad | EdinburghEH8 9AG | Laura.Cariola at ed.ac.uk | Website | [cid:60b9c52f-e831-47ca-a61d-5a977ac1111e][cid:a3dc5d64-dbd1-4609-9f4c-e6a73c64c919][cid:4c4dd441-2a96-426a-9685-40e2ef589f99] The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th? ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-hospftrb.png Type: image/png Size: 148803 bytes Desc: Outlook-hospftrb.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-hyxzv1kx.png Type: image/png Size: 104402 bytes Desc: Outlook-hyxzv1kx.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-aaoc5mwq.png Type: image/png Size: 7625 bytes Desc: Outlook-aaoc5mwq.png URL: From emergingtechnetwork.publicity at gmail.com Tue Jun 4 07:03:54 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Tue, 4 Jun 2024 14:03:54 +0300 Subject: Connectionists: Call for Workshops Proposal - The International Conference on Foundation and Large Language Models (FLLM2024)- 26-29 November, 2024 | Dubai, UAE Message-ID: [Apologies if you got multiple copies of this invitation] Call for Workshops Proposal - The 2nd International Conference on Foundation and Large Language Models (FLLM2024) Hybrid Event https://fllm2024.fllm-conference.org/index.php 26-29 November, 2024 | Dubai, UAE Technically Co-Sponsored by IEEE UAE Section *Call For Workshop Proposals* The 2nd International Conference on Foundation and Large Language Models (FLLM 2024), will host a series of workshops and is also inviting new workshop proposals. The purpose of the workshops is to emphasize current and emerging topics of particular interest to the community. Submit your workshop proposal to: (info at fllm-conference.org) by June 20th. Notification of Acceptance: by June 25th Proposal Format Each workshop proposal must include (maximum 4 pages, in PDF format): - Title of the workshop. - Workshop organizers (name and affiliation). - Scope and topics of the workshop. - Rationale: - Why the workshop is related to FLLM. - Workshop details: - A draft call for papers (including organizers, program committee, and steering committee if any). - Workshop tentative schedule (number of expected papers, duration full/half day, format talks/posters, etc.). - Workshop history: if there are past workshops, the history of the workshop. *Contact:* Please send any inquiry on FLLM to: info at fllm-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From gary.marcus at nyu.edu Tue Jun 4 09:53:01 2024 From: gary.marcus at nyu.edu (Gary Marcus) Date: Tue, 4 Jun 2024 06:53:01 -0700 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: <26716321-10c0-4024-9813-1400427c5b08@ics.uci.edu> References: <26716321-10c0-4024-9813-1400427c5b08@ics.uci.edu> Message-ID: An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 30gray-facebookJumbo.jpg Type: image/png Size: 171684 bytes Desc: not available URL: From r.jolivet at maastrichtuniversity.nl Wed Jun 5 04:54:25 2024 From: r.jolivet at maastrichtuniversity.nl (Jolivet, Renaud (MACSBIO)) Date: Wed, 5 Jun 2024 08:54:25 +0000 Subject: Connectionists: Lipari School on Computational Neuroscience: Model, Biology and Clinical Application Message-ID: <24127378-7D1B-431A-AD6D-60AFC02851B9@maastrichtuniversity.nl> (Sent on behalf of the organisers.) Dear Colleagues, it is with great pleasure that we invite you to attend the "Lipari School on Computational Neuroscience: Model, Biology and Clinical Application," to be held from 25 to 31 August 2024 on the beautiful island of Lipari, Italy. This prestigious event will bring together internationally renowned experts in the fields of neuroscience and biology and will discuss computational neuroscience, bioinformatics and their clinical applications. It will be a unique opportunity to deepen our knowledge, share experiences and discuss the latest research and innovations in these fascinating fields. The school programme will include: - Lectures given by top-notch lecturers. - Interactive workshops and practical sessions. - Roundtables on topical issues and future challenges. - Networking opportunities with professionals and researchers from all over the world. Lipari, with its breathtaking landscape and rich cultural history, will provide an ideal environment to stimulate scientific discussions and create new collaborations. Please visit our website [Lipari School - J.T. Schwartz International School for Scientific ...Lipari Schoolhttps://liparischool.it] for further details on the program, registration and accommodation options. We are certain that the "Lipari School on Computational Neuroscience" will be an enriching and stimulating experience, and we sincerely hope to welcome you to Lipari this August. Please spread the word about this initiative among your students, PhD students and young researchers, so that they can take advantage of this valuable opportunity for training and professional growth. Kind regards, [cid:C2F4D388-6151-4EAD-AF66-A845749B3F61] Dott.ssa Rosa Musotto Institute for Biomedical Research and Innovation (IRIB) National Research Council (CNR) Via Leanza, Mortelle 98164 Messina - Italy rosy.musotto at irib.cnr.it romusotto at unime.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Wed Jun 5 04:56:34 2024 From: interdonatos at gmail.com (Roberto Interdonato) Date: Wed, 5 Jun 2024 10:56:34 +0200 Subject: Connectionists: CfP: MACLEAN - MAChine Learning for EArth ObservatioN (workshop @ECML/PKDD2024) Message-ID: MACLEAN: MAChine Learning for EArth ObservatioN September 2024 KEY DATES Paper submission deadline: June 15, 2024 Paper acceptance notification: July 15, 2024 Paper camera-ready deadline: July 30, 2024 CONTEXT The huge amount of data currently produced by modern Earth Observation (EO) missions has raised up new challenges for the Remote Sensing communities. EO sensors are now able to offer (very) high spatial resolution images with revisit time frequencies never achieved before considering different kind of signals, e.g., multi-(hyper)spectral optical, radar, LiDAR and Digital Surface Models. In this context, modern machine learning techniques can play a crucial role to deal with such amount of heterogeneous, multi-scale and multi-modal data. Some examples of techniques that are gaining attention in this domain include deep learning, domain adaptation, semi-supervised approach, time series analysis and active learning. Even though the use of machine learning and the development of ad-hoc techniques are gaining increasing popularity in the EO domain, we can witness that a significant lack of interaction between domain experts and machine learning researchers still exists. The objective of this workshop is to supply an international forum where machine learning researchers and domain-experts can meet each other, in order to exchange, debate and draw short and long term research objectives around the exploitation and analysis of EO data via Machine Learning techniques. Among the workshop?s objectives, we want to give an overview of the current machine learning researches dealing with EO data, and, on the other hand, we want to stimulate concrete discussions to pave the way to new machine learning frameworks especially tailored to deal with such data. TOPICS ? Supervised Classification of Multi(Hyper)-spectral data ? Supervised Classification of Satellite Image Time Series data ? Unsupervised of EO Data ? Deep Learning approaches to deal with EO Data ? Machine Learning approaches for the analysis of multi-scale EO Data ? Machine Learning approaches for the analysis of multi-source EO Data ? Semi-supervised classification approaches for EO Data ? Active learning for EO Data ? Transfer Learning and Domain Adaptation for EO Data Interpretability and explainabiilty of machine learning methods in the context of EO data analysis ? Bayesian machine learning for EO Data ? Dimensionality Reduction and Feature Selection for EO Data ? Graphicals models for EO Data ? Structured output learning for EO Data ? Multiple instance learning for EO Data ? Multi-task learning for EO Data ? Online learning for EO Data ? Embedding and Latent factor for EO Data INVITED SPEAKERS: - Matthieu Molinier, VTT Technical Research Centre of Finland, Finland Keynote Title: Improving temporal frequency of dense multispectral image time series : applications for environmental monitoring - Giuseppina Andresini & Annalisa Appice, Universit? di Bari, Italy Keynote Title: "Monitoring forest health with AI: approaches for mapping tree dieback in satellite data" SUBMISSION We welcome original contributions, either theoretical or empirical, describing ongoing projects or completed work. Contributions can be of two types: either short position papers (up to 6 pages including references) or full research papers (up to 10 pages including references). Papers must be written in LNCS format, i.e., accordingly to the ECML-PKDD 2024 submission format. Accepted contributions will be made available electronically through the Workshop web page. Post-proceedings will be also published at the CCIS (Communications in Computer and Information Science) series. WORKSHOP WEBSITE: https://sites.google.com/view/maclean24 SUBMISSION WEBSITE: https://cmt3.research.microsoft.com/ECMLPKDDWorkshops2024/Track/7/Submission/Create PC-CHAIRS Thomas Corpetti, CNRS, LETG-Rennes COSTEL UMR 6554 CNRS, Rennes, France, thomas.corpetti at cnrs.fr Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato at cirad.fr Cassio Fraga Dantas, INRAE, UMR Tetis, Montpellier, France, cassio.fraga-dantas at inrae.fr Dino Ienco, INRAE, UMR Tetis, Montpellier, France, dino.ienco at inrae.fr Minh-Tan Pham, Univ. Bretagne-Sud, UMR 6074, IRISA, Vannes, France, minh-tan.pham at irisa.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabian.braesemann at oii.ox.ac.uk Wed Jun 5 07:35:26 2024 From: fabian.braesemann at oii.ox.ac.uk (Fabian Braesemann) Date: Wed, 5 Jun 2024 11:35:26 +0000 Subject: Connectionists: CFP COMPLEX NETWORKS 2024 Istanbul Turkey December 10 - 12, 2024 Message-ID: <2051816F-1E7D-419E-8A8C-7239D509CEDE@oii.ox.ac.uk> CFP COMPLEX NETWORKS 2024 Istanbul Turkey December 10 - 12, 2024 13 th International Conference on Complex Networks & Their Applications Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 You are cordially invited to submit your contribution until September 03, 2024. SPEAKERS (TBC) ? Federico Battiston Central European University, Austria ? Tina Eliassi-Rad Northeastern University, USA ? Frank Emmert-Streib Tampere University, Finland ? Filippo Menczer Indiana University, USA ? Luciano Pietronero University of Rome, Italy TUTORIALS (December 09, 2024) ? Alessandro Galeazzi University of Padova, Italy ? Clara Stegehuis Twente University, The Netherlands PUBLICATION Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? Papers will be included in the conference proceedings edited by Springer ? Extended abstracts will be published in the Book of Abstracts (with ISBN) Extended versions will be invited for publication in special issues of international journals: o PLOS Complex Systems edited by PLOS. o PLOS One edited by PLOS o Applied Network Science edited by Springer Nature o Social Network Analysis and Mining edited by Springer Nature o Entropy edited by MDPI o Advances in Complex Systems edited by World Scientific o Complex Systems Journal SUBMISSION: https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/ TOPICS Topics include, but are not limited to: o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Murat Donduran (Yildiz Technical University, Turkey) Luis M. Rocha (Binghamton University, USA) PROGRAM CHAIRS Chantal Cherifi (University of Lyon, France) Onur Varol (Sabanci University, Turkey) --- Dr Fabian Braesemann Departmental Research Lecturer in AI & Work Oxford Internet Institute University of Oxford Publicity Co-Chair 13th International Conference on Complex Networks & Their Applications 28 - 30 November, 2023, French Riviera, France 10 - 12 December, 2024, Istanbul, Turkey fabian.braesemann at oii.ox.ac.uk +44 7731 700 704 Google Scholar | LinkedIn Oxford Internet Institute University of Oxford 1 St Giles Oxford, OX1 3JS -------------- next part -------------- An HTML attachment was scrubbed... URL: From francesca.naretto at sns.it Wed Jun 5 08:55:09 2024 From: francesca.naretto at sns.it (Francesca NARETTO) Date: Wed, 5 Jun 2024 14:55:09 +0200 Subject: Connectionists: [CFP] 5 days to DS2024! Message-ID: Only five days left to submit your abstract to DS2024! *** Apologies for cross-posting *** 27th International Conference on Discovery Science (DS2024) October 14-16, 2024, Pisa, Italy http://ds2024.isti.cnr.it/index.html ***CALL FOR PAPER: MAIN RESEARCH TRACK*** Discovery Science 2024 conference provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The conference focus is on the use of Artificial Intelligence, Data Science and Big Data Analytics methods in science. Its scope includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, and big data analytics, as well as their application in various domains. Possible topics include, but are not limited to: - Artificial Intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science - Machine Learning: supervised learning (including ranking, multi-target prediction and structured prediction), unsupervised learning, semi-supervised learning, active learning, reinforcement learning, online learning, transfer learning, etc. - Knowledge Discovery and Data Mining - Anomaly and Outlier Detection - Time-Series Analysis - Spatial, Temporal and Spatiotemporal Data Analysis - Unstructured Data Analysis (textual and web data) - Data and Knowledge Visualization - Complex Network Analysis - Causal Modelling - Explainable AI and Interpretable Machine Learning - Human-Machine Interaction for Knowledge Discovery and Management - Data Streams, Evolving Data, Change Detection & Concept drift - AutoML, Meta-Learning, Planning to Learn - AI and High-performance Computing, Grid and Cloud Computing - AI and Cybersecurity - Computational Creativity - Learning from Complex Data - Process Discovery and Analysis - Evaluation of Models and Predictions in Discovery Setting - Applications of the above techniques in scientific domains, such as Physical sciences (e.g., materials sciences, particle physics), Life sciences (e.g., systems biology/systems medicine), Environmental sciences, Natural and social sciences ***INVITED SPEAKERS*** Roberto Navigli, Sapienza University of Rome and Babelscape ? October 14th Carlos Castillo, ICREA and Universitat Pompeu Fabra ? October 15th Francesca Toni, Imperial College London ? October 16th ***IMPORTANT DATES*** Abstract submission (deadline): Monday, June 10, 2024 Full paper submission (deadline): Monday, June 17, 2024 Notification of acceptance: Monday, July 29, 2024 Camera-ready version, author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION PROCEDURE*** Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 15 pages in the LNCS format. Submission of the camera-ready version of the paper has to include the authors? consent to publish on the above Springer LNCS website. Submissions will be reviewed following a single-blind procedure. Therefore, authors should include their names and affiliations in the paper. Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of DS? 2024. Submission System: https://cmt3.research.microsoft.com/DS2024/ At least one of the authors must be a registered participant at the conference to present the work. ***SPECIAL ISSUE*** The authors of a number of selected papers presented at DS 2024 will be invited to submit extended versions of their papers for possible inclusion in a special issue of Machine Learning journal (published by Springer) on Discovery Science. Fast-track processing will be used to have them reviewed and published. ***BEST PAPER AWARD*** There will be a Best Student Paper Award in the value of 550 Eur sponsored by Springer, and a Best Paper Award in the value of 550 Eur sponsored by Fondazione Area. ***CALL FOR PAPER: SPECIAL TRACK SOBIGDATA*** SoBigData RI (www.sobigdata.eu) is a distributed, Pan-European, multi-disciplinary research infrastructure aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society. This year, Discovery Science and SoBigData RI, collaborate in order to have a special track. The topics are the same of the main track but focussed on experiments for the SoBigData research spaces: - Demography, Economy and Finance 2.0: traditional complex socio-economic financial systems in conjunction with emerging ones, in particular, block-chain & cryptocurrency markets and their applications such as smart property, Internet of things, energy trading, and smart contracts. - Disaster Response and Recovery: methods and tools to analyze, monitor, and improve post-disaster reconstruction processes in socio-economic areas, spatial planning, environmental health in cooperation with national and international institutions. - Health Studies: experiments addressing health-related issues, including medical, nutrition, environmental health and network medicine. It entails integrating multidisciplinary scientific research including machine learning techniques and AI technologies. - Pervasive Intelligence in Cyber-Physical Systems for Future Society: experiments on AI models for a dynamic and automatic allocation of resources capable of reacting to changes in services, application requirements, sustainability, and user-generated traffic. Specific attention will also be given to approaches based on the emulation of biological brain mechanisms, called Cyber-Physical systems, with the aim of creating a ?conscious system? able to self-control a large number of subsystems. - Societal Debates and Misinformation: experiments analyzing both discussions on social media and journalistic production to understand which are the most debated topics. - Next-Generation Internet: experiments investigating the effect of Next Generation Internet paradigms by developing user- and device-centric services for groups of mobile users based on direct communication between faredge devices, validating them in the same application areas. - Sustainable Cities for Citizens: experiments about the usage of mobile devices data, georeferenced social media data, or other spatio-temporal data to model human behavior and activities. - Submitted paper must refer to a specific research space. Submitted papers must contain all the references to data and methods used in order to be accessible to the SoBigData community and to be published on the platform catalog (only in case of acceptance). Accepted papers will be published in DS2024 proceedings and disseminated through the research infrastructure channels. ***IMPORTANT DATES*** Abstract submission (deadline): Monday, June 10, 2024 Full paper submission (deadline): Monday, June 17, 2024 Notification of acceptance: Monday, July 29, 2024 Camera-ready version, author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***BEST PAPER AWARD*** There will be a Best SoBigData Paper award in the value of 550 Eur sponsored by SoBigData. ***CALL FOR LATE BREAKING CONTRIBUTIONS *** The Posters Track complements the research track of the conference and offers an opportunity to present late-breaking results and showcase innovative implementations in an informal and interactive setting. During the Poster session authors are encouraged to directly connect with conference participants and engage in discussions about their work. We invite submissions relevant to Discovery Science and which address, but are not limited to, the topics of the Research Track. We also welcome work that has already been seen in other places but needs to be shared with the Discovery Science community. Authors of the research papers not accepted for the Research track can be invited to present their work via a poster in the Poster session to discuss their research and scientific contributions with the community and expand their network with other researchers. ***IMPORTANT DATES*** Submission due: Monday, July 1, 2024 Notification of acceptance: Wednesday, July 31, 2024 Camera-ready version (extended abstract), author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION DETAILS*** Authors should submit an up-to two-page (excluding references) extended abstract for evaluation. All submissions must be written in English, using the PDF file format, following the formatting guidelines of the research track, and submitted electronically via the CMT submission system: https://cmt3.research.microsoft.com/DS2024/ Poster submissions should describe late-breaking research results, on-going research projects, or work-in-progress relevant to Discovery Science. Additional links to relevant resources are encouraged to be included in the submission. The submissions should not be anonymised. Each submission will be reviewed by 2 members of the Program Committee. All accepted posters will be available on the conference website. Authors are encouraged to link in the poster complementary materials (e.g. images, videos, code). At least one of the authors must be a registered participant at the conference, and attend the Poster Session to present the work. All papers accepted at the poster session will be published as extended abstracts (up to 4 pages in LNCS format) in CEUR proceedings. ***CALL FOR CONTRIBUTIONS: DOCTORAL CONSORTIUM*** The Doctoral Consortium (DC) provides an opportunity to present and discuss their doctoral research ideas and progress in a supportive, formative and yet critical environment and receive feedback from reviewers, mentors and peers from the field of Discovery Science. The DC will also provide opportunities to network and build collaborations with other members of the Discovery Science community. We welcome submissions across research Discovery Science-related domains and which address, but are not limited to, the topics of the Research Track. The event is intended for early as well as middle/late-stage PhD candidates and asks them to formulate and submit a concrete PhD research proposal, preferably supported by some preliminary results. The proposal will be peer-reviewed. If accepted, students must register and physically attend the event to present their PhD research proposal in a Poster session. Details for the submission are found below under ?Submission Details?. ***IMPORTANT DATES*** Submission due: Monday, July 1, 2024 Notification of acceptance: Wednesday, July 31, 2024 Camera-ready version (extended abstract), author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION DETAILS*** Authors should submit an up-to four-page (excluding references) description of their PhD research proposal. All submissions must be written in English, using the PDF file format, following the formatting guidelines of the research track, and submitted electronically via the CMT submission system: https://cmt3.research.microsoft.com/DS2024/ The papers should have a single author (the PhD candidate) and submissions are *not* anonymous. Supervisors, other involved persons, and funding agencies should be acknowledged in an Acknowledgements section. Research proposals (and if accepted, the Posters) should contain the following elements: - Context: The background and motivation for your research, including the related work that frames your research - Research questions/challenges: what are the research questions/challenges that your dissertation addresses? Try to highlight how it differs from existing literature. - Method/approach and evaluation: how is each of the research questions answered? How are results evaluated? If you are planning to conduct studies or build prototypes, provide a brief description. - Preliminary results (if available). Highlight results and contribution to date and the timeplan for projected steps. - Discussion and Future work: What are intermediary conclusions, and what are the planned next steps? All accepted research proposals will be presented in a Poster session. Posters and PDF documents will be available on the conference website. PhD students are encouraged to link in the poster complementary materials (e.g. images, videos, code). At least one of the authors must be a registered participant at the conference, and attend the Poster Session to present the work. All papers accepted at the poster session will be published as extended abstracts (up to 4 pages in LNCS format) in CEUR proceedings. ***COMMITTEES AND CHAIRS*** GENERAL & PROGRAM CHAIRS - Dino Pedreschi, University of Pisa - Anna Monreale, University of Pisa - Riccardo Guidotti, University of Pisa STEERING COMMITTEE - Michelangelo Ceci, University of Bari SPECIAL SESSION CHAIR - Roberto Trasarti, ISTI-CNR Pisa POSTER SESSION CHAIR - Francesca Naretto DOCTORAL CONSORTIUM CHAIRS - Fosca Giannotti - Roberto Pellungrini SOCIAL MEDIA & PUBLICITY CHAIR - Vittorio Romano LOCAL ORGANIZATION COMMITTEE - Francesco Spinnato, University of Pisa - Lorenzo Mannocci, University of Pisa -- Francesca Naretto Ph.D. in Data Science francesca.naretto at sns.it SNS, Pisa | CNR, Pisa -------------- next part -------------- An HTML attachment was scrubbed... URL: From gary.marcus at nyu.edu Wed Jun 5 09:07:43 2024 From: gary.marcus at nyu.edu (Gary Marcus) Date: Wed, 5 Jun 2024 06:07:43 -0700 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> References: <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: An HTML attachment was scrubbed... URL: From jose at rubic.rutgers.edu Wed Jun 5 08:18:22 2024 From: jose at rubic.rutgers.edu (=?utf-8?B?U3RlcGhlbiBKb3PDqSBIYW5zb24=?=) Date: Wed, 5 Jun 2024 12:18:22 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: <26716321-10c0-4024-9813-1400427c5b08@ics.uci.edu> Message-ID: Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. [30gray-facebookJumbo.jpg] Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 30gray-facebookJumbo.jpg Type: image/jpeg Size: 171684 bytes Desc: 30gray-facebookJumbo.jpg URL: From gary.marcus at nyu.edu Wed Jun 5 08:41:08 2024 From: gary.marcus at nyu.edu (Gary Marcus) Date: Wed, 5 Jun 2024 05:41:08 -0700 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: Message-ID: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> An HTML attachment was scrubbed... URL: From jose at rubic.rutgers.edu Wed Jun 5 09:05:37 2024 From: jose at rubic.rutgers.edu (=?utf-8?B?U3RlcGhlbiBKb3PDqSBIYW5zb24=?=) Date: Wed, 5 Jun 2024 13:05:37 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> Message-ID: <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Dear Flabbergasted: Thankyou, I endeavor to provide short but useful commentary that could be considered a "work of art". Graci! Now either my memory is failing since 2017(not impossible), or you are smoothing over a time series of claims that are actually like a seesaw. I think if we just rewind some of the connectionist comments; it would be clear, in fact, for example, you had a long series of comments with Geoff that seemed to indicate you were being misreprented as well. Your complaints have always be around the fact that DL-AI has false alarms (and to be fair other problems) And sometimes pretty odd-ones. LLMs human and non-human errors are even more interesting. The fact that they seem to grow circuits in the attention-heads is gobsmacking! I thought then and think now you are complaining about peas under a very thick mattress (oh-oh, metaphors now- I may have opened pandora's box.) But I will go look at the budding NeuroSymbolic paper you mentioned, but I have my doubts that the statistical bias is equivalent with the architectually simplistic LLMs. Nonetheless, I have not read it. I will also make a coarse timeline of your comments since 2017, but anyone out there that would like to help, greatly appreciated! Best, Stephen On 6/5/24 8:41 AM, Gary Marcus wrote: Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From zk240 at cam.ac.uk Wed Jun 5 10:11:54 2024 From: zk240 at cam.ac.uk (Zoe Kourtzi) Date: Wed, 5 Jun 2024 14:11:54 +0000 Subject: Connectionists: Postdoc/Research Assistant position in AI and NeuroInformatics , University of Cambridge, UK. In-Reply-To: References: Message-ID: <4D63973C-0849-4907-B8BA-323635A9643B@cam.ac.uk> A Postdoc or Research Assistant position in AI and NeuoInformatics is available at the Adaptive Brain Lab (http://www.abg.psychol.cam.ac.uk), University of Cambridge, UK. The position focuses on developing and translating AI-guided tools for early detection of brain and mental health disorders. Apply by 25th June 2024: https://www.jobs.cam.ac.uk/job/46789/ to join our cross-disciplinary team of AI experts, neuroscientists and clinicians For Informal enquiries please contact Prof Zoe Kourtzi (zk240 at cam.ac.uk) with CV and brief statement of background skills and research interests. From emergingtechnetwork.publicity at gmail.com Wed Jun 5 11:09:43 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Wed, 5 Jun 2024 18:09:43 +0300 Subject: Connectionists: FLLM2024 CFP (Hybrid Event and Co-Sponsored by IEEE): The 2nd International Conference on Foundation and Large Language Models , 26-29 November, 2024 | Dubai, UAE Message-ID: [Apologies if you got multiple copies of this invitation] The 2nd International Conference on Foundation and Large Language Models (FLLM2024) Hybrid Event https://fllm2024.fllm-conference.org/index.php 26-29 November, 2024 | Dubai, UAE Technically Co-Sponsored by IEEE UAE Section *FLLM 2024 CFP:* With the emergence of foundation models (FMs) and Large Language Models (LLMs) that are trained on large amounts of data at scale and adaptable to a wide range of downstream applications, Artificial intelligence is experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new applications ranging from computer vision to protein sequence study and from speech recognition to coding. Earlier models had a reputation of starting from scratch with each new challenge. The capacity to experiment with, examine, and comprehend the capabilities and potentials of next-generation FMs is critical to undertaking this research and guiding its path. Nevertheless, these models are currently inaccessible as the resources required to train these models are highly concentrated in industry, and even the assets (data, code) required to replicate their training are frequently not released due to their demand in the real-time industry. At the moment, mostly large tech companies such as OpenAI, Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite the expected widely publicized use of FMs and LLMS, we still lack a comprehensive knowledge of how they operate, why they underperform, and what they are even capable of because of their emerging global qualities. To deal with these problems, we believe that much critical research on FMs and LLMS would necessitate extensive multidisciplinary collaboration, given their essentially social and technical structure. The International Conference on Foundation and Large Language Models (FLLM) addresses the architectures, applications, challenges, approaches, and future directions. We invite the submission of original papers on all topics related to FLLMs, with special interest in but not limited to: - *Architectures and Systems* - Transformers and Attention - Bidirectional Encoding - Autoregressive Models - Massive GPU Systems - Prompt Engineering - Multimodal LLMs - Fine-tuning - *Challenges* - Hallucination - Cost of Creation and Training - Energy and Sustainability Issues - Integration - Safety and Trustworthiness - Interpretability - Fairness - Social Impact - * Future Directions* - Generative AI - Explainability and EXplainable AI - Retrieval Augmented Generation (RAG) - Federated Learning for FLLM - Large Language Models Fine-Tuning on Graphs - Data Augmentation - * Natural Language Processing Applications* - Generation - Summarization - Rewrite - Search - Question Answering - Language Comprehension and Complex Reasoning - Clustering and Classification - * Applications* - Natural Language Processing - Communication Systems - Security and Privacy - Image Processing and Computer Vision - Life Sciences - Financial Systems *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. *Important Dates:* - *Paper submission deadline: June 30, 2024* - Notification of acceptance: September 15, 2024 - Camera-ready Submission: October 10, 2024 *Contact:* Please send any inquiry on FLLM to: info at fllm-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From riccardo.guidotti at unipi.it Wed Jun 5 12:50:41 2024 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Wed, 5 Jun 2024 16:50:41 +0000 Subject: Connectionists: DS2024 5 days left to submit Message-ID: ***We kindly ask you to share this CFP among your list of contacts*** !!! 5 days left to submit your abstract to DS2024 !!! ***CALL FOR PAPER: MAIN RESEARCH TRACK*** Discovery Science 2024 conference provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The conference focus is on the use of Artificial Intelligence, Data Science and Big Data Analytics methods in science. Its scope includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, and big data analytics, as well as their application in various domains. Possible topics include, but are not limited to: - Artificial Intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science - Machine Learning: supervised learning (including ranking, multi-target prediction and structured prediction), unsupervised learning, semi-supervised learning, active learning, reinforcement learning, online learning, transfer learning, etc. - Knowledge Discovery and Data Mining - Anomaly and Outlier Detection - Time-Series Analysis - Spatial, Temporal and Spatiotemporal Data Analysis - Unstructured Data Analysis (textual and web data) - Data and Knowledge Visualization - Complex Network Analysis - Causal Modelling - Explainable AI and Interpretable Machine Learning - Human-Machine Interaction for Knowledge Discovery and Management - Data Streams, Evolving Data, Change Detection & Concept drift - AutoML, Meta-Learning, Planning to Learn - AI and High-performance Computing, Grid and Cloud Computing - AI and Cybersecurity - Computational Creativity - Learning from Complex Data - Process Discovery and Analysis - Evaluation of Models and Predictions in Discovery Setting - Applications of the above techniques in scientific domains, such as Physical sciences (e.g., materials sciences, particle physics), Life sciences (e.g., systems biology/systems medicine), Environmental sciences, Natural and social sciences ***IMPORTANT DATES*** Abstract submission (deadline): Monday June 10, 2024 (EXTENDED) [was Monday June 3, 2024] Full paper submission (deadline): Monday June 17, 2024 (EXTENDED) [was Monday June 10, 2024] Notification of acceptance: Monday July 29, 2024 (EXTENDED) [was Monday July 22, 2024] Camera-ready version, author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION PROCEDURE*** Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 15 pages in the LNCS format. Submission of the camera-ready version of the paper has to include the authors??? consent to publish on the above Springer LNCS website. Submissions will be reviewed following a single-blind procedure. Therefore, authors should include their names and affiliations in the paper. Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of DS??? 2024. Accepted papers will be published in the Discovery Science Springer LNCS series https://link.springer.com/conference/dis Submission System: https://cmt3.research.microsoft.com/DS2024/ At least one of the authors must be a registered participant at the conference to present the work. ***SPECIAL ISSUE*** The authors of a number of selected papers presented at DS 2024 will be invited to submit extended versions of their papers for possible inclusion in a special issue of Machine Learning journal (published by Springer) on Discovery Science. Fast-track processing will be used to have them reviewed and published. ***BEST PAPER AWARD*** There will be a Best Student Paper Award in the value of 550 Eur sponsored by Springer, and a Best Paper Award in the value of 550 Eur sponsored by Fondazione Area. ***CALL FOR PAPER: SPECIAL TRACK SOBIGDATA*** SoBigData RI (www.sobigdata.eu) is a distributed, Pan-European, multi-disciplinary research infrastructure aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society. This year, Discovery Science and SoBigData RI, collaborate in order to have a special track. The topics are the same of the main track but focussed on experiments for the SoBigData research spaces: - Demography, Economy and Finance 2.0: traditional complex socio-economic financial systems in conjunction with emerging ones, in particular, block-chain & cryptocurrency markets and their applications such as smart property, Internet of things, energy trading, and smart contracts. - Disaster Response and Recovery: methods and tools to analyze, monitor, and improve post-disaster reconstruction processes in socio-economic areas, spatial planning, environmental health in cooperation with national and international institutions. - Health Studies: experiments addressing health-related issues, including medical, nutrition, environmental health and network medicine. It entails integrating multidisciplinary scientific research including machine learning techniques and AI technologies. - Pervasive Intelligence in Cyber-Physical Systems for Future Society: experiments on AI models for a dynamic and automatic allocation of resources capable of reacting to changes in services, application requirements, sustainability, and user-generated traffic. Specific attention will also be given to approaches based on the emulation of biological brain mechanisms, called Cyber-Physical systems, with the aim of creating a ???conscious system??? able to self-control a large number of subsystems. - Societal Debates and Misinformation: experiments analyzing both discussions on social media and journalistic production to understand which are the most debated topics. - Next-Generation Internet: experiments investigating the effect of Next Generation Internet paradigms by developing user- and device-centric services for groups of mobile users based on direct communication between faredge devices, validating them in the same application areas. - Sustainable Cities for Citizens: experiments about the usage of mobile devices data, georeferenced social media data, or other spatio-temporal data to model human behavior and activities. - Submitted paper must refer to a specific research space. Submitted papers must contain all the references to data and methods used in order to be accessible to the SoBigData community and to be published on the platform catalog (only in case of acceptance). Accepted papers will be published in DS2024 proceedings and disseminated through the research infrastructure channels. ***IMPORTANT DATES & SUBMISSION PROCEDURE*** Abstract submission (deadline): Monday June 10, 2024 (EXTENDED) [was Monday June 3, 2024] Full paper submission (deadline): Monday June 17, 2024 (EXTENDED) [was Monday June 10, 2024] Notification of acceptance: Monday July 29, 2024 (EXTENDED) [was Monday July 22, 2024] Camera-ready version, author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***BEST PAPER AWARD*** There will be a Best SoBigData Paper award in the value of 550 Eur sponsored by SoBigData. ***CALL FOR LATE BREAKING CONTRIBUTIONS *** The Posters Track complements the research track of the conference and offers an opportunity to present late-breaking results and showcase innovative implementations in an informal and interactive setting. During the Poster session authors are encouraged to directly connect with conference participants and engage in discussions about their work. We invite submissions relevant to Discovery Science and which address, but are not limited to, the topics of the Research Track. We also welcome work that has already been seen in other places but needs to be shared with the Discovery Science community. Authors of the research papers not accepted for the Research track can be invited to present their work via a poster in the Poster session to discuss their research and scientific contributions with the community and expand their network with other researchers. ***IMPORTANT DATES*** Submission due: Monday July 1, 2024 (EXTENDED) [was Monday June 22, 2024] Notification of acceptance: Wednesday July 31, 2024 (EXTENDED) [was Monday July 27, 2024] Camera-ready version (extended abstract), author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION DETAILS*** Authors should submit an up-to two-page (excluding references) extended abstract for evaluation. All submissions must be written in English, using the PDF file format, following the formatting guidelines of the research track, and submitted electronically via the CMT submission system: https://cmt3.research.microsoft.com/DS2024/ Poster submissions should describe late-breaking research results, on-going research projects, or work-in-progress relevant to Discovery Science. Additional links to relevant resources are encouraged to be included in the submission. The submissions should not be anonymised. Each submission will be reviewed by 2 members of the Program Committee. All accepted posters will be available on the conference website. Authors are encouraged to link in the poster complementary materials (e.g. images, videos, code). At least one of the authors must be a registered participant at the conference, and attend the Poster Session to present the work. All papers accepted at the poster session will be published as extended abstracts (up to 4 pages in LNCS format) in CEUR proceedings. ***CALL FOR CONTRIBUTIONS: DOCTORAL CONSORTIUM*** The Doctoral Consortium (DC) provides an opportunity to present and discuss their doctoral research ideas and progress in a supportive, formative and yet critical environment and receive feedback from reviewers, mentors and peers from the field of Discovery Science. The DC will also provide opportunities to network and build collaborations with other members of the Discovery Science community. We welcome submissions across research Discovery Science-related domains and which address, but are not limited to, the topics of the Research Track. The event is intended for early as well as middle/late-stage PhD candidates and asks them to formulate and submit a concrete PhD research proposal, preferably supported by some preliminary results. The proposal will be peer-reviewed. If accepted, students must register and physically attend the event to present their PhD research proposal in a Poster session. Details for the submission are found below under ???Submission Details???. ***IMPORTANT DATES*** Submission due: Monday July 1, 2024 (EXTENDED) [was Monday June 22, 2024] Notification of acceptance: Wednesday July 31, 2024 (EXTENDED) [was Monday July 27, 2024] Camera-ready version (extended abstract), author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION DETAILS*** Authors should submit an up-to four-page (excluding references) description of their PhD research proposal. All submissions must be written in English, using the PDF file format, following the formatting guidelines of the research track, and submitted electronically via the CMT submission system: https://cmt3.research.microsoft.com/DS2024/ The papers should have a single author (the PhD candidate) and submissions are *not* anonymous. Supervisors, other involved persons, and funding agencies should be acknowledged in an Acknowledgements section. Research proposals (and if accepted, the Posters) should contain the following elements: - Context: The background and motivation for your research, including the related work that frames your research - Research questions/challenges: what are the research questions/challenges that your dissertation addresses? Try to highlight how it differs from existing literature. - Method/approach and evaluation: how is each of the research questions answered? How are results evaluated? If you are planning to conduct studies or build prototypes, provide a brief description. - Preliminary results (if available). Highlight results and contribution to date and the timeplan for projected steps. - Discussion and Future work: What are intermediary conclusions, and what are the planned next steps? All accepted research proposals will be presented in a Poster session. Posters and PDF documents will be available on the conference website. PhD students are encouraged to link in the poster complementary materials (e.g. images, videos, code). At least one of the authors must be a registered participant at the conference, and attend the Poster Session to present the work. All papers accepted at the poster session will be published as extended abstracts (up to 4 pages in LNCS format) in CEUR proceedings. ***COMMITTEES AND CHAIRS*** GENERAL & PROGRAM CHAIRS - Dino Pedreschi, University of Pisa - Anna Monreale, University of Pisa - Riccardo Guidotti, University of Pisa STEERING COMMITTEE - Michelangelo Ceci, University of Bari SPECIAL SESSION CHAIR - Roberto Trasarti, ISTI-CNR Pisa POSTER SESSION CHAIR - Francesca Naretto DOCTORAL CONSORTIUM CHAIRS - Fosca Giannotti - Roberto Pellungrini SOCIAL MEDIA & PUBLICITY CHAIR - Vittorio Romano LOCAL ORGANIZATION COMMITTEE - Francesco Spinnato, University of Pisa - Lorenzo Mannocci, University of Pisa -- Riccardo Guidotti Dipartimento di Informatica Universit? di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa Mail: riccardo.guidotti at unipi.it Web: http://kdd.isti.cnr.it/homes/guidotti/ KDD Lab, Room: 363 Phone:+39 050 221 3134 -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at msu.edu Wed Jun 5 10:58:53 2024 From: weng at msu.edu (Weng, Juyang) Date: Wed, 5 Jun 2024 14:58:53 +0000 Subject: Connectionists: short Op-ed to address AI problems Message-ID: Dear Gary, You wrote, "you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets." Based on this statement, I am afraid that you do not have algorithmic expertise to understand my Post-Selection misconduct allegation against Alphabet's all AI projects so far: It is my ethical duty to inform you that I alleged "Deep Learning" including ?LLMs? like ChatGPT to be Post-Selection misconduct (cheating and hiding). Read J. Weng, On "Deep Learning" Misconduct, ISAIC 2022 and also https://ui.adsabs.harvard.edu/abs/2022arXiv221116350W/abstract If you train multiple systems each using different parameters, you need to report the average errors of all trained systems on a validation set. Better, also report the minimum, 25%, 50%, 75%, and maximum of the ranked errors on the validation set. If you only report the error of the luckiest few networks on the validation set, you grossly underestimate its error in a future new test. Namely, the luck on the validation set does not transfer to a similar luck on a new future test. Please see this Newsletter for the latest developments if there is such a future test: https://www.cse.msu.edu/amdtc/amdnl/CDSNL-V18-N1.pdf If you are interested in discussing this important matter, I invite you to write an [AI Crisis] Dialogue. See https://www.cse.msu.edu/amdtc/amdnl/CDSNL-V18-N2.pdf Best regards, -John Weng Brain-Mind Institute ________________________________ From: Connectionists on behalf of Gary Marcus Sent: Wednesday, June 5, 2024 8:41 AM To: Stephen Jos? Hanson Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at msu.edu Wed Jun 5 10:58:52 2024 From: weng at msu.edu (Weng, Juyang) Date: Wed, 5 Jun 2024 14:58:52 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> Message-ID: Dear Gary, You wrote, "you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets." Based on this statement, I am afraid that you do not have algorithmic expertise to understand my Post-Selection misconduct allegation against Alphabet's all AI projects so far: It is my ethical duty to inform you that I alleged "Deep Learning" including ?LLMs? like ChatGPT to be Post-Selection misconduct (cheating and hiding). Read J. Weng, On "Deep Learning" Misconduct, ISAIC 2022 and also https://ui.adsabs.harvard.edu/abs/2022arXiv221116350W/abstract If you train multiple systems each using different parameters, you need to report the average errors of all trained systems on a validation set. Better, also report the minimum, 25%, 50%, 75%, and maximum of the ranked errors on the validation set. If you only report the error of the luckiest few networks on the validation set, you grossly underestimate its error in a future new test. Namely, the luck on the validation set does not transfer to a similar luck on a new future test. Please see this Newsletter for the latest developments if there is such a future test: https://www.cse.msu.edu/amdtc/amdnl/CDSNL-V18-N1.pdf If you are interested in discussing this important matter, I invite you to write an [AI Crisis] Dialogue. See https://www.cse.msu.edu/amdtc/amdnl/CDSNL-V18-N2.pdf Best regards, -John Weng Brain-Mind Institute ________________________________ From: Connectionists on behalf of Gary Marcus Sent: Wednesday, June 5, 2024 8:41 AM To: Stephen Jos? Hanson Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From jose at rubic.rutgers.edu Wed Jun 5 19:38:17 2024 From: jose at rubic.rutgers.edu (=?utf-8?B?U3RlcGhlbiBKb3PDqSBIYW5zb24=?=) Date: Wed, 5 Jun 2024 23:38:17 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: Not sure i agree But let me read the paper Thanks Stephen ________________________________ From: Asim Roy Sent: Wednesday, June 5, 2024 6:49 PM To: Stephen Jos? Hanson ; Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: RE: Connectionists: short Op-ed to address AI problems Dear Stephen, We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side. The results are astounding. We get better performance than a pure DL model. And exploring applications with defense agencies. They are impressed with the results we have so far. So, neurosymbolic is definitely the way forward. Best, Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists On Behalf Of Stephen Jos? Hanson Sent: Wednesday, June 5, 2024 6:06 AM To: Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Flabbergasted: Thankyou, I endeavor to provide short but useful commentary that could be considered a "work of art". Graci! Now either my memory is failing since 2017(not impossible), or you are smoothing over a time series of claims that are actually like a seesaw. I think if we just rewind some of the connectionist comments; it would be clear, in fact, for example, you had a long series of comments with Geoff that seemed to indicate you were being misreprented as well. Your complaints have always be around the fact that DL-AI has false alarms (and to be fair other problems) And sometimes pretty odd-ones. LLMs human and non-human errors are even more interesting. The fact that they seem to grow circuits in the attention-heads is gobsmacking! I thought then and think now you are complaining about peas under a very thick mattress (oh-oh, metaphors now- I may have opened pandora's box.) But I will go look at the budding NeuroSymbolic paper you mentioned, but I have my doubts that the statistical bias is equivalent with the architectually simplistic LLMs. Nonetheless, I have not read it. I will also make a coarse timeline of your comments since 2017, but anyone out there that would like to help, greatly appreciated! Best, Stephen On 6/5/24 8:41 AM, Gary Marcus wrote: Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From ASIM.ROY at asu.edu Wed Jun 5 18:49:38 2024 From: ASIM.ROY at asu.edu (Asim Roy) Date: Wed, 5 Jun 2024 22:49:38 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: Dear Stephen, We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side. The results are astounding. We get better performance than a pure DL model. And exploring applications with defense agencies. They are impressed with the results we have so far. So, neurosymbolic is definitely the way forward. Best, Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists On Behalf Of Stephen Jos? Hanson Sent: Wednesday, June 5, 2024 6:06 AM To: Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Flabbergasted: Thankyou, I endeavor to provide short but useful commentary that could be considered a "work of art". Graci! Now either my memory is failing since 2017(not impossible), or you are smoothing over a time series of claims that are actually like a seesaw. I think if we just rewind some of the connectionist comments; it would be clear, in fact, for example, you had a long series of comments with Geoff that seemed to indicate you were being misreprented as well. Your complaints have always be around the fact that DL-AI has false alarms (and to be fair other problems) And sometimes pretty odd-ones. LLMs human and non-human errors are even more interesting. The fact that they seem to grow circuits in the attention-heads is gobsmacking! I thought then and think now you are complaining about peas under a very thick mattress (oh-oh, metaphors now- I may have opened pandora's box.) But I will go look at the budding NeuroSymbolic paper you mentioned, but I have my doubts that the statistical bias is equivalent with the architectually simplistic LLMs. Nonetheless, I have not read it. I will also make a coarse timeline of your comments since 2017, but anyone out there that would like to help, greatly appreciated! Best, Stephen On 6/5/24 8:41 AM, Gary Marcus wrote: Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Thu Jun 6 02:00:00 2024 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Thu, 6 Jun 2024 08:00:00 +0200 Subject: Connectionists: Scalable Uncertainty Mangement 2024 (November 27-29, Palermo): second call for paper Message-ID: <7308FCFE-11DE-46A7-990B-440D36EE05AF@hds.utc.fr> Our apologies if you receive multiple copies of this mail. =================================== Conference announcement + key dates =================================== The 16th International Conference on Scalable Uncertainty Management (SUM 2024) will be held in Palermo, Italy from November 27-29, 2024. See: https://sum2024.unipa.it/ Key dates (CET 23:59): Abstract Submission (optional but useful to organizers): June 17, 2024 Paper Submission: June 24, 2024 Notification: August 31, 2024 Camera-ready copies: September 15, 2024 Conference: Nov. 27-29, 2024 ============= Description ============= Established in 2007, the SUM conferences are currently bi-annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference. ===================== Topics of Interest ===================== We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): Imperfect information in databases - Methods for modeling, indexing, and querying uncertain databases - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases? - Data provenance and trust - Data summarization - Very large datasets Imperfect information in information retrieval and semantic web applications - Approximate schema and ontology matching - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web Imperfect information in artificial intelligence - Statistical relational learning, graphical models, probabilistic inference Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Learning from data Risk analysis - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results ======================== Submission Guidelines ======================== SUM 2024 solicits original papers in the following three categories: - Long papers (at most 14 pages, references excluded): technical papers reporting original research or survey papers - Short papers (between 4 and 7 pages, references excluded): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference All SUM submissions must be formatted according to the LNCS/LNAI guidelines:https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2024 ============= Publication ============= Accepted long (at most 14 pages) and short papers (2-7 pages) will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts (2 pages) will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet). ========================================================================================= Organization ========================================================================================= S?bastien Destercke (Universit? de technologie de Compi?gne), PC Co Chair Maria Vanina Martinez (IIIA-CSIC), PC Co Chair Giuseppe Sanfilippo, (University of Palermo), General/Local Chair From contact at sscc.fr Thu Jun 6 02:21:04 2024 From: contact at sscc.fr (Samir Ouchani) Date: Thu, 6 Jun 2024 08:21:04 +0200 Subject: Connectionists: [First CFP] CRiSIS 2024: The 19th International Conference on Risks and Security of Internet and Systems Message-ID: <002901dab7d9$bec24580$3c46d080$@sscc.fr> KINDLY SHARE Apologies if you receive multiple copies 19th International Conference on Risks and Security of Internet and Systems (CRiSIS 2024) November 26th - 28th, 2024 Aix-en-Provence, France The 19th International Conference on Risks and Security of Internet and Systems (CRiSIS) in 2024 continues its tradition of addressing critical security challenges in Internet-connected applications, networks, and systems. The indispensability of the Internet for information exchange among diverse user groups and organizations has led to heightened risks around security and privacy. This vulnerability is exacerbated by the sophistication of online attacks, the proliferation of cybercrime, and the readily available tools for attackers, who are increasingly motivated and skilled. The advent of complex technologies, including pervasive computing, mobile, and wireless devices and networks, introduces new security challenges, necessitating the deployment of advanced security mechanisms and techniques. These advancements are crucial for protecting critical sectors such as energy, transportation, health, defense, banking, critical infrastructures, embedded systems and networks, avionics systems, and more, ensuring an acceptable level of security assurance. CRiSIS 2024 serves as an essential platform for stakeholders in computer and network security from the industrial, academic, and governmental sectors to convene, share insights, and showcase the latest developments in combating Internet-related security threats, vulnerabilities, and the necessary countermeasures to address them. TOPICS ====== We target contributions from both academia and industrials on the following topics, but not limited to: - AI and machine learning-based security approaches - Formal methods and logics-centered security approaches - Analysis and management of risk - Attacks and defenses - Attack data acquisition and network monitoring - Authorization, Authentication, and Identity Management - Blockchain and Distributed Ledger Technologies - Cryptography, biometrics, watermarking - Dependability and fault tolerance of Internet applications - Distributed systems security and safety - Embedded system security and safety - Empirical methods for security and risk evaluation - Hardware-based security and physical security - Intrusion detection and prevention systems - Organizational, ethical, and legal issues - Privacy protection and anonymization - Risk-aware access and usage control - Analysis and management of cyber crisis - Security and risk assessment - Security and risks metrics - Security and dependability of operating systems - Security and safety of critical infrastructures - Security and privacy of peer-to-peer system - Security and privacy of wireless networks - Security in Cloud/Edge/Fog computing - Security models and security policies - Security of big data - Security of industrial control systems - Security of intelligent transportation systems - Security of e-commerce, electronic voting, and database systems - Security of new-generation networks - Security of smart cities - Security of smart grid - Security of social networks - Security of the IoT and IIoT - Security of VoIP and multimedia - Smartphone security and privacy - Traceability, metrology and forensics - Trust management - Ubiquitous computing security - Use of smart cards and personal devices for Internet applications - Virtualization security - Web and Web-service security IMPORTANT DATES ================ Submission deadline: June 15th, 2024 Notification of acceptance: July 15th, 2024 Camera-ready paper due: October 15th, 2024 PAPER SUBMISSION ================= Submitted papers must not significantly overlap with papers already published or those being concurrently submitted to a journal or conference with proceedings. Papers should be written in English and submitted electronically in PDF format. Selected papers presented at the conference will be included in the post-proceedings, to be published by Springer in the Lecture Notes in Computer Science (LNCS) series. Authors are required to revise their papers according to review comments before publication. Pre-proceedings will be available at the time of the conference. The maximum length for submissions is 16 pages for full papers and 6 pages for short papers, following the LNCS formatting guidelines. We recommend the use of LNCS Springer Overleaf Template (https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer -science/kzwwpvhwnvfj#.WtR5Hy5ua71). Authors must upload their paper as PDF file using the EasyChair submission system: https://easychair.org/conferences/?conf=crisis2024 WEB SITE ======== https://crisis2024.univ-gustave-eiffel.fr GENERAL CHAIRS ============== - Fr?d?ric Cuppens, Polytechnique Montreal, Canada - Nora Cuppens, Polytechnique Montreal, Canada - Jean-Paul Mizzi, Universit? Gustave Eiffel, France - David Garcia, CESI Lineact, France PROGRAM COMMITTEE CHAIRS ========================== - Simon Collart Dutilleul, Universit? Gustave Eiffel, France - Samir Ouchani, CESI Lineact, France PUBLICITY CHAIRS =============== - Slim Kallel, University of Sfax, Tunisia ORGANIZING COMMITTE ===================== - David Garcia, CESI Lineact, France - Amine Mohammed Boudouaia, CESI Lineact, France - Malika Benkhalifa, Ecole d'Ing?nieurs CESI, France - Philippe Bon, Gustave Eiffel University, France - Seddik Reguieg, Gustave Eiffel University, France - Val?rie Osmont, Gustave Eiffel University, France - Danielle Zennir, Gustave Eiffel University, France - Danielle Zennir, Gustave Eiffel University, France ============================= Dr. Samir Ouchani, Ing., PhD., HDR. Research Director, CESI Lineact. Aix-en-Provence, France. -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Wed Jun 5 22:25:36 2024 From: junfeng989 at gmail.com (Jun Feng) Date: Thu, 6 Jun 2024 10:25:36 +0800 Subject: Connectionists: 8 Journals Special Issue on Recent Advances in Security, Privacy, and Trust Message-ID: Special Issue: [Electronics (IF: 2.9); Journal of Cybersecurity and Privacy; Mathematics (IF: 2.4); Remote Sensing (IF: 5.0); Sustainability (IF: 3.9); ISPRS International Journal of Geo-Information (IF: 3.4); Cryptography (IF: 1.6); Blockchains] Topic on Recent Advances in Security, Privacy, and Trust The full call for papers is available on the official website: https://www.mdpi.com/topics/ELY82W061L ================== Participating Journals ================== - Electronics (SCIE, IF=2.9) - Journal of Cybersecurity and Privacy - Mathematics (SCIE, IF=2.4) - Remote Sensing (SCIE, IF=5.0) - Sustainability (SCIE, IF=3.9) - ISPRS International Journal of Geo-Information (SCIE, IF=3.4) - Cryptography (IF=1.6) - Blockchains ================== Paper Submission ================== All papers need to be submitted electronically through the website: https://www.mdpi.com/topics/ELY82W061L ================== Topic Information ================== The proliferation of information, communication, and computer technologies has brought us into the realm of cyber-physical-social system (CPSS). CPSS comprises of the cyber space, physical space and social space, and their integration such as cyber-physical system (CPS), Internet of Thing (IoT), social computing system, and even the system integrating all three spaces. Recently, CPSS has brought enormous opportunities that have significantly influenced applications. However, there are increasing security, privacy, and trust concerns such as exposure of user privacy and business information in CPSS. Although theories and technologies about security, privacy, and trust have been widely studied and applied in recent years, existing methods are still insecure, impractical or inefficient. To address these challenges, this topic solicits the latest research outcomes and developments on security, privacy, and trust. The topics of interest include, but not limited to the following: - Privacy-enhancing technologies - Privacy-preserving/secure/trust data analysis and processing - Network security, privacy, and trust - Differentially private data analysis - Sustainable security, privacy, and trust - Economics of security, privacy, and trust - Blockchain and its applications - IoT/CPS/CPSS security, privacy, and trust - Security, privacy, and trust in edge/fog/cloud computing - AI/Machine learning security - Federated learning - System security - Hardware security - Web security, privacy, and trust - Big data, artificial intelligence for security, privacy, and trust - Digital twin security, privacy, and trust - Cryptographic techniques, cryptographic protocols ================== Topic Editors ================== - Jun Feng (Lead Editor) Huazhong University of Science and Technology, China Email: junfeng989 at gmail.com Website: http://faculty.hust.edu.cn/fengjun6/en/ - Changqing Luo Virginia Commonwealth University, USA Email: cluo at vcu.edu Website: http://www.people.vcu.edu/~cluo/ - Mamoun Alazab Charles Darwin University, Australia Email: mamoun.alazab at cdu.edu.au Website: https://researchers.cdu.edu.au/en/persons/mamoun-alazab -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com Website: http://faculty.hust.edu.cn/fengjun6/en/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at msu.edu Thu Jun 6 04:08:39 2024 From: weng at msu.edu (Weng, Juyang) Date: Thu, 6 Jun 2024 08:08:39 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: Dear Asim, You wrote, "We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side." Not only DL is misconduct, but symbols are another devil. In my IJCNN 2022 paper, http://www.cse.msu.edu/~weng/research/20M-IJCNN2022rvsd-cite.pdf I proved "symbol-free" as one of the 20 million-dollar problems for us to understand human brains. The definition of symbols requires a government, but government-free is one of the 20 million-dollar problems for us to understand human brains. Let us consider three cases: Case 1: If a human designs symbols within a network (e.g., LSTM) and assigns the symbols to some individual neurons (e.g., task-specific gates) of the network, this human is a government within the network since he is task-aware. Case 2: If a human designs symbols within a network and assigns roles to blocks in a functional block diagram, e.g., [Starzyk10], this human is a government within the network. Case 3: In the symbolic AI school, a human programmer designs symbolic representations for a task that is assigned to a computer program or network. This human is a government within the symbolic AI system since he is task-aware. All the 3 cases do not solve the government-free problem. I have attached an image that further explains the symbol problem in the same paper. Let me know if you still do not agree that the brain must be free from symbols after you read the entire paper. By the way, I am surprised that as a mathematician, you still do not understand the Post-Selection misconduct in DL that I raised to you earlier. Please use your own words to explain Post-Selection and why you can handle explanation using Post-Selection misconduct. Best regards, -John Weng ________________________________ From: Connectionists on behalf of Asim Roy Sent: Wednesday, June 5, 2024 6:49 PM To: Stephen Jos? Hanson ; Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Stephen, We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side. The results are astounding. We get better performance than a pure DL model. And exploring applications with defense agencies. They are impressed with the results we have so far. So, neurosymbolic is definitely the way forward. Best, Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists On Behalf Of Stephen Jos? Hanson Sent: Wednesday, June 5, 2024 6:06 AM To: Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Flabbergasted: Thankyou, I endeavor to provide short but useful commentary that could be considered a "work of art". Graci! Now either my memory is failing since 2017(not impossible), or you are smoothing over a time series of claims that are actually like a seesaw. I think if we just rewind some of the connectionist comments; it would be clear, in fact, for example, you had a long series of comments with Geoff that seemed to indicate you were being misreprented as well. Your complaints have always be around the fact that DL-AI has false alarms (and to be fair other problems) And sometimes pretty odd-ones. LLMs human and non-human errors are even more interesting. The fact that they seem to grow circuits in the attention-heads is gobsmacking! I thought then and think now you are complaining about peas under a very thick mattress (oh-oh, metaphors now- I may have opened pandora's box.) But I will go look at the budding NeuroSymbolic paper you mentioned, but I have my doubts that the statistical bias is equivalent with the architectually simplistic LLMs. Nonetheless, I have not read it. I will also make a coarse timeline of your comments since 2017, but anyone out there that would like to help, greatly appreciated! Best, Stephen On 6/5/24 8:41 AM, Gary Marcus wrote: Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Symbol-problem.jpg Type: image/jpeg Size: 140739 bytes Desc: Symbol-problem.jpg URL: From mtkostecki at gmail.com Thu Jun 6 05:46:10 2024 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Thu, 6 Jun 2024 11:46:10 +0200 Subject: Connectionists: ReLab: Rewilding Ethology Laboratory, Konstanz, August 26-30 2024 Message-ID: Hello! We are super happy to announce our next event, organized in collaboration between us, Center for the Advanced Study of Animal Behaviour, University of Konstanz and Max Planck Institute of Animal Behaviour! Are you ready for an expedition into the multifarious world of animal behaviour, where the lab meets the wild? Join us for RELab, *a unique experimental workshop in the scenic location of Lake Constance, Germany.* Unlike well-established scientific frameworks relying on synthetic stimuli, working with real, complex naturalistic stimuli presents unique challenges in tractability, interpretability, and relevance. This workshop will bring together* 16 exceptional early-career scientists and 5 renowned principal investigators in the fields from systems neuroscience to ethology*, to tackle conceptual and practical challenges in analyzing natural behaviours. RELab is not just about conventional lectures; it?s about *prototyping paradigms and hacking them together in both natural and controlled environments*. RELab is designed as a dialogue and a collective journey of discovery. For 5 days, participants will engage in: - Naturalist hikes and field experiments, exploring the natural habitats around Lake Constance (Bodensee). - Laboratory sessions employing advanced technologies such as virtual reality, collaborative activities integrating field and lab perspectives in real-time. - Thought-provoking talks and discussions with leading experts, aiming to build a new understanding of natural behaviours. Come enjoy the beautiful Bodensee region for an adventure of intellectual exploration, collaborative discovery, and vibrant community building. RELab is supported by the Centre for the Advanced Study of Collective Behaviour (CASCB) and Nencki Open Lab and it will be hosted by the Max Planck Institute of Animal behaviour, ensuring a high-quality, inclusive, and stimulating environment. Together, we aim to lay the groundwork for achieving new meaningful insights into behaviour in a complex world where standardized procedures may not exist. *Rewilders* Anna St?ckl (CASCB, Dept. of Biology, Uni Konstanz) Armin Bahl (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Einat Couzin-Fuchs (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Katja Reinhard (International School for Advanced Studies, Trieste) Raghavendra Gadagkar (Indian Institute of Science, Bengaluru) *Where, When, and How* RELab will be held on the Lake of Constance, Germany, 26-30 August 2024 (arrival on August 25, departure on August 31). The fee is EUR 750, and includes accommodation in shared double rooms at the venue and all meals for the duration of the workshop (breakfasts, lunches and dinners); it also includes dinner on the night before the workshop begins. We are securing funds for fee waivers, please specify in the registration form if you need one. PhD students and postdocs from systems neuroscience or animal behavior, as well as related disciplines, are encouraged to apply. We will also consider exceptional applications from pre-PhD students. How to apply: The application form is available here https://docs.google.com/forms/d/e/1FAIpQLSftN3DG-PKhaqN30Jmgia4_3YKQJoL6g_Rtmqe7s6BARhWZzQ/viewform. . The deadline for application is 24 June 2024. For inquiries, please contact the organizers. *Organizers:* August Paula (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Cyrill Fromm (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Iacopo Hachen (MSCA Fellow, MPI-AB, Dept. of Biology, CASCB, Uni Konstanz) Kajal Kumari (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Mateusz Kostecki (Nencki Institute) Pavan Kaushik (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Ruiheng Wu (MPI-AB, CASCB, Uni Konstanz) Best! NOL Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Thu Jun 6 08:53:57 2024 From: efipatm at gmail.com (Efi) Date: Thu, 6 Jun 2024 15:53:57 +0300 Subject: Connectionists: Invitation for free online registration and participation in the AIDA Symposium "AI Education Beyond Borders" organized by the International AI Doctoral Academy, June 27, 2024 Message-ID: Dear AI Professors, students, professionals, enthusiasts, the International AI Doctoral Academy (AIDA ) is excited to invite you to attend online the upcoming *AIDA Symposium ?AI Education Beyond Borders? *as part of the 4th European AI Network of Excellence Community Workshop. This hybrid (local/online) event will be held on *27 June 2024*, in CERTH, Thessaloniki, Greece. This Symposium is the 5th one in the AI Mellontology Symposium series. It is an excellent opportunity for knowledge sharing among AI researchers and practitioners on AI education, notably on: - AI University education (all disciplines, including CS/CSE/ECE and AI Departments), - Curriculum of AI studies - AI tools (e.g., LLM and GenAI) for all education levels - AI educational material and courses (AIDA, AIoD platforms) - Global AI education - Lifelong AI learning, reskilling and upskilling. This AIDA symposium will feature panel discussions on the following topics: 1. AI University Education 2. Training AI Expertise for Europe: Initiatives and the EU AI PhD Curriculum 3. AI tools in education (impact of LLMs and Generative AI in education, exams, essays). 4. AIDA and AoD platform and experience 5. *Harnessing Generative AI for Inclusive Global Education * 6. First responders education on AI for natural disaster management 7. EBU Academy School of AI: How EBU Academy is upskilling Europe?s Public Service Media on AI 8. Innovation for Education: How AI can revamp long-life learning 9. AI in journalism and misinformation: Overview, audiovisual applications, and media literacy needs Time schedule: 8:30 to 16:30 EEST (UTC + 3 hours) The symposium will be addressed by Prof. C. Feidas, Rector of the Aristotle University of Thessaloniki. Further information and registration for free *online* participation [HERE ]. The participation links (Webex) will be sent to you shortly after your registration. Feel free to share this invitation with your contacts or spread the word on your communication channels and social media and share our LinkedIn event ! This event is organized by AIDA and the European Networks of Excellence Centres in AI and Robotics (AI NoEs) funded by the European Union. The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , supports a world-level AI education and research program. AIDA offers regular AI excellence lecture series, short courses, semester courses, and seasonal schools with the participation of hundreds of academics and serving a growing community of AI PhD students and researchers. If you want to stay informed on future AIDA educational offers and activities, you can register in the email lists AIDA email list and CVML email list . Best regards Prof. Ioannis Pitas AIDA Symposium Chair [image: Community Workshop 2024_AI4Media.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Community Workshop 2024_AI4Media.png Type: image/png Size: 246487 bytes Desc: not available URL: From samuel.kaski at manchester.ac.uk Thu Jun 6 15:36:22 2024 From: samuel.kaski at manchester.ac.uk (Samuel Kaski) Date: Thu, 6 Jun 2024 19:36:22 +0000 Subject: Connectionists: Research Associate, Research Fellow and PhD positions in Machine Learning, Manchester Centre for AI Fundamentals, UK Message-ID: We have several posts to work with me and colleagues at the Manchester Centre for AI Fundamentals: i) ELIAS - European Lighthouse of AI for Sustainability. The interface between AI and sustainability is both academically fascinating and essential to our future. We're looking for someone to join our team in the Sustainable Materials Innovation Hub led by Mike Shaver and the Centre for AI Fundamentals to help transform this interface. Got a background in AI and a passion for sustainability? Enthusiastic about saving our planet? We will be using ? for the first time ? sustainability inputs to direct outcomes. Prior experience in sustainability or life cycle assessment is a plus but not required. (One Research Associate post available) ii) My UKRI Turing AI World-Leading Fellowship. We develop new principles and methods for Advanced User Modelling, sequential decision making and Automatic Experimental Design, with and without a Human-in-the-Loop. (One Research Associate & one Research Fellow post available) iii) The UKRI AI hub in Generative Models. Need we say more ? we will develop principles and tools for the key technology that will continue to affect our lives. (One Research Associate post available) iv) PhD student positions in the UKRI AI CDT in Decision Making for Complex Systems. Multiple home (UK only, sorry) student positions available. I have an exciting project on ?Human-in-the-loop generative models for experimental design? with Patrick Cai and Mingfei Sun, and ?Learning theory and methods for novel types of distributional shifts? with Omar Rivasplata. Postdocs and research fellows (posts i-iii): DL June 27, 2024: https://www.jobs.manchester.ac.uk/internal/Job/JobDetail?JobId=28777 PhD students from UK (posts iv; home students only): DL June 17, 2024: https://ai-decisions-cdt.github.io/hugo-pages/ Come join the fun at AI-FUN! (https://ai-fun.manchester.ac.uk ; apologies for the web pages ? we have been focusing more on research!) -- Samuel Kaski, Professor, University of Manchester and Aalto University Turing AI Fellow, ELLIS Fellow https://kaski-lab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.l.s.deheerkloots at uva.nl Thu Jun 6 15:35:16 2024 From: m.l.s.deheerkloots at uva.nl (Marianne de Heer Kloots) Date: Thu, 6 Jun 2024 19:35:16 +0000 Subject: Connectionists: Workshop on Using Artificial Neural Networks for Studying Human Language Learning and Processing (June 10th-12th, Amsterdam) Message-ID: Dear colleagues, On June 10th-12th we are organizing a workshop on Using Artificial Neural Networks for Studying Human Language Learning and Processing at the Institute for Logic, Language and Computation in Amsterdam. Artificial Neural Networks (ANNs) have proven to be powerful learning devices for language-related tasks, as demonstrated by recent progress in artificial intelligence driven by large, Transformer-based language models. But how can ANNs inform us about human language learning and processing? Our three-day workshop brings together researchers working on cognitively motivated and linguistic questions in studying the language processing mechanisms and learning trajectories of ANNs. Arianna Bisazza (University of Groningen), Eva Portelance (McGill University, HEC Montr?al), and Ethan Wilcox (ETH Z?rich) will give keynote lectures providing insights on the relations between modern neural language models and studies of human language learning and processing. In addition, we have an exciting set of contributed presentations from our workshop participants on the first and second day of the programme. Our third day is dedicated to active interactions between on-site workshop participants, through tutorials and collaborative tasks on the topic of learning trajectories in smaller- and larger-scale models. The full schedule is available on our webpage (timeslots are in CEST), and we are happy to welcome anyone interested in following along remotely for our programme on Monday and Tuesday. All items on the schedule with a camera icon will be streamed; if you are interested in receiving the link, please leave your e-mail address in this form (also linked on our website). All the best, The organizing team Tamar Johnson and Marianne de Heer Kloots -------------- next part -------------- An HTML attachment was scrubbed... URL: From ASIM.ROY at asu.edu Thu Jun 6 22:06:48 2024 From: ASIM.ROY at asu.edu (Asim Roy) Date: Fri, 7 Jun 2024 02:06:48 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: Dear John, Let?s do one issue at a time. Let?s try symbols first. There is plenty of evidence in neurophysiology that one can associate ?meaning? to the activation of certain individual cells. As far as I know, all of the brain-related Nobel prizes were about finding ?meaning? in the activations of certain single neurons. Here I quote from Wikipedia (Single-unit recording - Wikipedia): * 1928: One of the earliest accounts of being able to record from the nervous system was by Edgar Adrian in his 1928 publication "The Basis of Sensation". In this, he describes his recordings of electrical discharges in single nerve fibers using a Lippmann electrometer. He won the Nobel Prize in 1932 for his work revealing the function of neurons.[11] * 1957: John Eccles used intracellular single-unit recording to study synaptic mechanisms in motoneurons (for which he won the Nobel Prize in 1963). * 1959: Studies by David H. Hubel and Torsten Wiesel. They used single neuron recordings to map the visual cortex in unanesthesized, unrestrained cats using tungsten electrodes. This work won them the Nobel Prize in 1981 for information processing in the visual system. * And the work of Mosers and O?Keefe on grid and place cells that won them the Nobel: The 2014 Nobel Prize in Physiology or Medicine - Press release. Here?s a quote about the work on place cells: ?Most neuroscientists once doubted that brain activity could be linked with behaviour, but in the late 1960s, O?Keefe began to record signals from individual neurons in the brains of rats moving freely in a box. He put electrodes in the hippocampus and was surprised to find that individual cells fired when the rats moved to particular spots.? Nobel prize for decoding brain?s sense of place | Nature And then the findings about concept cells (Jennifer Aniston cells), which are single cell recordings. Here?s from Reddy and Thorpe (2014): ?concept cells have ?meaning of a given stimulus in a manner that is invariant to different representations of that stimulus.? We all try to generalize from data, right. If you examine these findings, the most important feature is that they all found ?meaning? in single cell activations. So the most fundamental question for you is: Do you accept these findings and the general conclusion that single cell activations can have meaning? Again, beware that, beyond winning Nobel prizes, much work in neuroscience and other fields follows from these findings. All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang Sent: Thursday, June 6, 2024 1:09 AM To: Asim Roy ; Stephen Jos? Hanson ; Gary Marcus ; Weng, Juyang Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side." Not only DL is misconduct, but symbols are another devil. In my IJCNN 2022 paper, http://www.cse.msu.edu/~weng/research/20M-IJCNN2022rvsd-cite.pdf I proved "symbol-free" as one of the 20 million-dollar problems for us to understand human brains. The definition of symbols requires a government, but government-free is one of the 20 million-dollar problems for us to understand human brains. Let us consider three cases: Case 1: If a human designs symbols within a network (e.g., LSTM) and assigns the symbols to some individual neurons (e.g., task-specific gates) of the network, this human is a government within the network since he is task-aware. Case 2: If a human designs symbols within a network and assigns roles to blocks in a functional block diagram, e.g., [Starzyk10], this human is a government within the network. Case 3: In the symbolic AI school, a human programmer designs symbolic representations for a task that is assigned to a computer program or network. This human is a government within the symbolic AI system since he is task-aware. All the 3 cases do not solve the government-free problem. I have attached an image that further explains the symbol problem in the same paper. Let me know if you still do not agree that the brain must be free from symbols after you read the entire paper. By the way, I am surprised that as a mathematician, you still do not understand the Post-Selection misconduct in DL that I raised to you earlier. Please use your own words to explain Post-Selection and why you can handle explanation using Post-Selection misconduct. Best regards, -John Weng ________________________________ From: Connectionists > on behalf of Asim Roy > Sent: Wednesday, June 5, 2024 6:49 PM To: Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: short Op-ed to address AI problems Dear Stephen, We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side. The results are astounding. We get better performance than a pure DL model. And exploring applications with defense agencies. They are impressed with the results we have so far. So, neurosymbolic is definitely the way forward. Best, Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists > On Behalf Of Stephen Jos? Hanson Sent: Wednesday, June 5, 2024 6:06 AM To: Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Flabbergasted: Thankyou, I endeavor to provide short but useful commentary that could be considered a "work of art". Graci! Now either my memory is failing since 2017(not impossible), or you are smoothing over a time series of claims that are actually like a seesaw. I think if we just rewind some of the connectionist comments; it would be clear, in fact, for example, you had a long series of comments with Geoff that seemed to indicate you were being misreprented as well. Your complaints have always be around the fact that DL-AI has false alarms (and to be fair other problems) And sometimes pretty odd-ones. LLMs human and non-human errors are even more interesting. The fact that they seem to grow circuits in the attention-heads is gobsmacking! I thought then and think now you are complaining about peas under a very thick mattress (oh-oh, metaphors now- I may have opened pandora's box.) But I will go look at the budding NeuroSymbolic paper you mentioned, but I have my doubts that the statistical bias is equivalent with the architectually simplistic LLMs. Nonetheless, I have not read it. I will also make a coarse timeline of your comments since 2017, but anyone out there that would like to help, greatly appreciated! Best, Stephen On 6/5/24 8:41 AM, Gary Marcus wrote: Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From kkpatel7 at gmail.com Fri Jun 7 03:17:15 2024 From: kkpatel7 at gmail.com (KK Patel) Date: Fri, 7 Jun 2024 12:47:15 +0530 Subject: Connectionists: Call for Workshops / Special Sessions proposals: Springer icSoftComp2024 || December 10-12, 2024 || Bangkok, Thailand || Scopus indexed Springer CCIS || Hybrid || 2024 6th International Conference on Soft Computing and its Engineering Applications Message-ID: ** Sincere apologies if you receive multiple copies of this email ** * Call for Workshops / Special Sessions proposals:* The 2024 6th International Conference on Soft Computing and its Engineering Applications (icSoftComp2024) invites proposals for - full-day workshops ( https://www.charusat.ac.in/icSoftComp2024/cfw.php) or - half-day special sessions ( https://www.charusat.ac.in/icSoftComp2024/cfss.php). icSoftComp2024 will take place in Bangkok, Thailand during December 10?12, 2024. It is the premier forum for technical exchange on soft computing and its engineering applications. *Aim and Scope* The aim of the workshops / special sessions is to complement the conference program with in-depth forums that are dedicated to a specific topic related to scope of icSoftComp2024. Proposals from industry and academia are welcome. Workshops / Special sessions will have their papers published in the conference proceedings. Conference series link: https://link.springer.com/conference/icsoftcomp *Submission guidelines * Each icSoftComp2024 workshop / special session proposal has to be submitted in a single PDF file, and must include: - Name and abbreviation of the workshop. - Names, addresses, and a short (200 words) bio of the Organizing Committee members. - A brief description of the technical focus addressed by the workshop/Special session, reasons why the workshop/Special session is of interest at this time, and reasons why this area is important in the context of icSoftComp2024. - The planned format of the workshop/Special session, including a strategy to facilitate lively and interactive discussions. - If applicable, a description of past events of the workshop/Special session, including statistics of submitted/accepted papers and attendee numbers. If the workshop/Special session does not have past editions, please provide estimates and explain a strategy on how to reach the targets of paper submissions and attendees. - Publicity and advertising plan to attract paper submissions and attendees. - A draft of 1-page "Call for Papers" including title, description, topics and important dates. *Submission for Workshop/Special session proposal is due on June 15, 2024* Submission of workshop/Special session proposals should be sent through email to the Technical Program chair: K. K. Patel, kanupatel.mca at charusat.ac.in Charotar University of Science and Technology (CHARUSAT) (Center of Excellence by Govt. of Gujarat) (Accredited "A+" grade by NAAC, GoI) Changa, India warm regards, K. K. Patel, Ph.D. Cell#: +91-820 010 3724 https://www.charusat.ac.in/icSoftComp2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at msu.edu Thu Jun 6 23:09:03 2024 From: weng at msu.edu (Weng, Juyang) Date: Fri, 7 Jun 2024 03:09:03 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: Dear Asim, You wrote, "Let?s do one issue at a time. Let?s try symbols first." This approach misleads you to the wrong track. Case 1: neuron level symbols (your position). Case 2: area level symbols. Case 3: task level symbols. They are all dead ends because Asim is the government of the "brain" model. For all those Asim knows, it is too expensive to create all symbols for the "brain" model. For all those Asim does not know, the model does not know either. Deadends! If you continue this "one issue at a time route," you waste too much time in your life. This is because the first issue is wrong to consider. Best regards, -John Weng ________________________________ From: Asim Roy Sent: Thursday, June 6, 2024 10:06 PM To: Weng, Juyang ; Stephen Jos? Hanson ; Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, Let?s do one issue at a time. Let?s try symbols first. There is plenty of evidence in neurophysiology that one can associate ?meaning? to the activation of certain individual cells. As far as I know, all of the brain-related Nobel prizes were about finding ?meaning? in the activations of certain single neurons. Here I quote from Wikipedia (Single-unit recording - Wikipedia): * 1928: One of the earliest accounts of being able to record from the nervous system was by Edgar Adrian in his 1928 publication "The Basis of Sensation". In this, he describes his recordings of electrical discharges in single nerve fibers using a Lippmann electrometer. He won the Nobel Prize in 1932 for his work revealing the function of neurons.[11] * 1957: John Eccles used intracellular single-unit recording to study synaptic mechanisms in motoneurons (for which he won the Nobel Prize in 1963). * 1959: Studies by David H. Hubel and Torsten Wiesel. They used single neuron recordings to map the visual cortex in unanesthesized, unrestrained cats using tungsten electrodes. This work won them the Nobel Prize in 1981 for information processing in the visual system. * And the work of Mosers and O?Keefe on grid and place cells that won them the Nobel: The 2014 Nobel Prize in Physiology or Medicine - Press release. Here?s a quote about the work on place cells: ?Most neuroscientists once doubted that brain activity could be linked with behaviour, but in the late 1960s, O?Keefe began to record signals from individual neurons in the brains of rats moving freely in a box. He put electrodes in the hippocampus and was surprised to find that individual cells fired when the rats moved to particular spots.? Nobel prize for decoding brain?s sense of place | Nature And then the findings about concept cells (Jennifer Aniston cells), which are single cell recordings. Here?s from Reddy and Thorpe (2014): ?concept cells have ?meaning of a given stimulus in a manner that is invariant to different representations of that stimulus.? We all try to generalize from data, right. If you examine these findings, the most important feature is that they all found ?meaning? in single cell activations. So the most fundamental question for you is: Do you accept these findings and the general conclusion that single cell activations can have meaning? Again, beware that, beyond winning Nobel prizes, much work in neuroscience and other fields follows from these findings. All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang Sent: Thursday, June 6, 2024 1:09 AM To: Asim Roy ; Stephen Jos? Hanson ; Gary Marcus ; Weng, Juyang Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side." Not only DL is misconduct, but symbols are another devil. In my IJCNN 2022 paper, http://www.cse.msu.edu/~weng/research/20M-IJCNN2022rvsd-cite.pdf I proved "symbol-free" as one of the 20 million-dollar problems for us to understand human brains. The definition of symbols requires a government, but government-free is one of the 20 million-dollar problems for us to understand human brains. Let us consider three cases: Case 1: If a human designs symbols within a network (e.g., LSTM) and assigns the symbols to some individual neurons (e.g., task-specific gates) of the network, this human is a government within the network since he is task-aware. Case 2: If a human designs symbols within a network and assigns roles to blocks in a functional block diagram, e.g., [Starzyk10], this human is a government within the network. Case 3: In the symbolic AI school, a human programmer designs symbolic representations for a task that is assigned to a computer program or network. This human is a government within the symbolic AI system since he is task-aware. All the 3 cases do not solve the government-free problem. I have attached an image that further explains the symbol problem in the same paper. Let me know if you still do not agree that the brain must be free from symbols after you read the entire paper. By the way, I am surprised that as a mathematician, you still do not understand the Post-Selection misconduct in DL that I raised to you earlier. Please use your own words to explain Post-Selection and why you can handle explanation using Post-Selection misconduct. Best regards, -John Weng ________________________________ From: Connectionists > on behalf of Asim Roy > Sent: Wednesday, June 5, 2024 6:49 PM To: Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: short Op-ed to address AI problems Dear Stephen, We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side. The results are astounding. We get better performance than a pure DL model. And exploring applications with defense agencies. They are impressed with the results we have so far. So, neurosymbolic is definitely the way forward. Best, Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists > On Behalf Of Stephen Jos? Hanson Sent: Wednesday, June 5, 2024 6:06 AM To: Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Flabbergasted: Thankyou, I endeavor to provide short but useful commentary that could be considered a "work of art". Graci! Now either my memory is failing since 2017(not impossible), or you are smoothing over a time series of claims that are actually like a seesaw. I think if we just rewind some of the connectionist comments; it would be clear, in fact, for example, you had a long series of comments with Geoff that seemed to indicate you were being misreprented as well. Your complaints have always be around the fact that DL-AI has false alarms (and to be fair other problems) And sometimes pretty odd-ones. LLMs human and non-human errors are even more interesting. The fact that they seem to grow circuits in the attention-heads is gobsmacking! I thought then and think now you are complaining about peas under a very thick mattress (oh-oh, metaphors now- I may have opened pandora's box.) But I will go look at the budding NeuroSymbolic paper you mentioned, but I have my doubts that the statistical bias is equivalent with the architectually simplistic LLMs. Nonetheless, I have not read it. I will also make a coarse timeline of your comments since 2017, but anyone out there that would like to help, greatly appreciated! Best, Stephen On 6/5/24 8:41 AM, Gary Marcus wrote: Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From alinepaes at ic.uff.br Thu Jun 6 16:01:55 2024 From: alinepaes at ic.uff.br (Aline Paes) Date: Thu, 6 Jun 2024 17:01:55 -0300 Subject: Connectionists: 3rd CFP: BRACIS 2024 - 34th Brazilian Conference on Intelligent Systems Message-ID: ########################################################### *TL;DR:* BRACIS 2024 Call for Papers - The 34th Brazilian Conference on Intelligent Systems (BRACIS) will be held in Bel?m, Brazil, from November 17-21, 2024. This is Brazil's primary AI and CI event. It invites the submission of research papers on various AI topics. Please visit the website for more information about the location and venue. *Key dates: submission by June 13,* *2024; notifications by August 10, 2024; and camera-ready copies by August20, 2024*. The conference features a double-anonymous review process and introduces four tracks, including a new "Published Papers in Top Venues" track. Best papers may be invited for special issue publications. Submissions are via JEMS . More details are as follows. ################################################################### The Program Committee of the 34th Brazilian Conference on Intelligent Systems (BRACIS) invites submissions of original research papers for the conference to be held in Bel?m, PA, Brazil. **First edition in the North Region** from November 17th to 21st, 2024. BRACIS is the most important event in Brazil for researchers interested in publishing significant and novel results related to Artificial and Computational Intelligence. The Brazilian Conference on Intelligent Systems (BRACIS) originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (21 editions), and the Brazilian Symposium on Neural Networks - SBRN (12 editions). BRACIS, which previously had 12 editions, will now be recognized as the 34th edition when considering its history and the 21 editions of SBIA. The 34th BRACIS plays a pivotal role in AI in Brazil, serving as a hub for promoting theoretical concepts and applications in Artificial and Computational Intelligence. The event fosters a space for exchanging scientific ideas among researchers, practitioners, scientists, and engineers working toward advancing Artificial and Computational Intelligence science. This aligns with the goals of other major international conferences proposed in a similar period in the history of AI, such as the 37th AAAI, 32nd IJCAI, and 37th NeurIPS (formerly called NIPS). The 33 previous editions of BRACIS highlight the pioneering of the Brazilian AI Community. **Please note that this year, we are inaugurating the track submissions.See further details in the Submission Details section. ** IMPORTANT DATESa -* Paper submission - June 13th, 2024 - AoE** - Notification to authors - August 10th, 2024. - Camera-ready copy due - August 20th, 2024. SPECIAL ISSUES Authors of the best papers will be invited to submit extended versions of their work to be appreciated for publication in special issues after the conference. SUBMISSION DETAILS Please note that the BRACIS submission is double-anonymous. This means that both the reviewer and author's identities and institutions are concealed from the reviewers, and vice versa, throughout the review process. To facilitate this, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity. If you have published a non-anonymous version of your paper online before paper submission (e.g. arXiv), you can send an anonymous version to the conference. No references to the non-anonymous version should appear in the anonymous version, and you should inform the PC chairs that there is a non-anonymous version. You cannot update the online version nor publish information regarding the work on social media during the paper review period, as it can compromise the double-double-anonymous review process. We strongly encourage making code and data available anonymously (e.g., in an anonymous GitHub repository via Anonymous GitHub or in a Dropbox folder). Submitted papers must be written in English and be at most 15 pages, including all tables, figures, references, and appendices. Formatting instructions, as well as templates for Word and LaTeX, are available at ConferenceProceedings guidelines . Springer's proceedings LaTeX templates are also available in Overleaf . All submitted papers will be reviewed by at least three experts in the field. Accepted papers will be included in the BRACIS proceedings and submitted for publication in Springer in Lecture Notes in Artificial Intelligence (LNAI) series. Only PDF files can be uploaded to the submission system. For each accepted paper, at least one author must register for the conference and present the paper at the conference venue. Submissions must be made online using JEMS . ** ATTENTION - About the use of LLMs ** Generative AI models (including Chat-GPT, BARD, LLaMA, Gemini, etc.) or similar LLMs do not meet the article authorship criteria for BRACIS 2024. However, we encourage articles that describe research on or involving such advanced AI models and tools. Authors who use an LLM in any part of the article writing process take full responsibility for all content, including checking for plagiarism and correcting all text. We suggest that this use be properly mentioned in the Acknowledgments section, with no harm in the evaluation process. ****** Tracks submission: New in this edition ******* This year, BRACIS will have four tracks: 1. Main track: original works showing novel AI methods with sound results. 2. AI applications for Social Good: original works presenting novel Social Good applications using established AI methods. 3. General applications: original works presenting novel applications using established AI methods, naturally considering the ethical aspects of the application. 4. Published papers: papers published in top AI conferences or journals in 2023 or 2024 (as a guide, consider the international rankings CS Metrics and CS rankings by selecting AI area or subareas; others can also be considered). Tracks 1-3 will have no distinction regarding the publication format and the publication in the proceedings. For Track 4, authors must submit a publishable 2-pages extended abstract (references can be on additional pages) that does not violate the copyright of the previous publication. The accepted papers of all tracks will have the same slot for presentation during the conference. TOPICS OF INTEREST Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI). Topics of interest include (but are not restricted to): - Agent-based and Multi-Agent Systems - Cognitive Modeling and Human Interaction - Constraints and Search - Foundations of AI - Distributed AI - Information Retrieval, Integration, and Extraction - Knowledge Representation and Reasoning - Commonsense Reasoning - Model-Based Reasoning - Probabilistic Reasoning, and Approximate Reasoning - Ontologies and the Semantic Web - Logic-based Knowledge Representation and Reasoning - Natural Language Processing - Planning and Scheduling - Evolutionary Computation and Metaheuristics - Fuzzy Systems - Neural Networks - Deep Learning - Machine Learning and Data Mining - Meta-learning - Reinforcement Learning - Molecular and Quantum Computing - Pattern Recognition and Cluster Analysis - Hybrid Systems - Bioinformatics and Biomedical Engineering using AI - Combinatorial and Numerical Optimization - Computer Vision - Education for AI and AI for Education - Forecasting - Game Playing and Intelligent Interactive Entertainment - Intelligent Robotics - Multidisciplinary AI and CI - Foundation Models - Large Language Models - Human-centric AI - Generative AI - Ethics in AI GENERAL CHAIR Andr? Ponce (ICMC/USP) PROGRAM CHAIRS Aline Paes (IC/UFF) Filipe A. N. Verri (IEC/ITA) ------------------------------------------------------------------------------------------------- *Profa. Dra. Aline Paes (she/her)* *Associate professor - Computer Science (Artificial Intelligence)* Institute of Computing / Universidade Federal Fluminense (IC/UFF) Member of CE-PLN and BPLN CNPq PQ-E and FAPERJ JCNE __________________________________________________________ url: www.ic.uff.br/~alinepaes Av Gal Milton Tavares de Souza, S/N, Computing Building, Office 504 S?o Domingos, Niter?i, RJ, Brazil. ZIP 24210-346 ------------------------------------------------------------------------------------------------- ****Please do not feel any pressure to respond out of your own regular working hours. Remember that this is supposed to be an asynchronous tool*** -------------- next part -------------- An HTML attachment was scrubbed... URL: From ASIM.ROY at asu.edu Thu Jun 6 23:21:23 2024 From: ASIM.ROY at asu.edu (Asim Roy) Date: Fri, 7 Jun 2024 03:21:23 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: Dear John, There is no ?Asim? or ?Government? in any brain, human or otherwise. That single cell firing in a cat?s brain having ?meaning? is not due to ?Asim? or ?a Government.? These cells with ?meaning? develop NATURALLY. And that?s what you are missing in your Development Network theory. You have not been able to capture in your systems that side of development. Perhaps time to go back to the drawing board. Symbols follow directly from ?single cells having meaning.? All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang Sent: Thursday, June 6, 2024 8:09 PM To: Asim Roy ; Stephen Jos? Hanson ; Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "Let?s do one issue at a time. Let?s try symbols first." This approach misleads you to the wrong track. Case 1: neuron level symbols (your position). Case 2: area level symbols. Case 3: task level symbols. They are all dead ends because Asim is the government of the "brain" model. For all those Asim knows, it is too expensive to create all symbols for the "brain" model. For all those Asim does not know, the model does not know either. Deadends! If you continue this "one issue at a time route," you waste too much time in your life. This is because the first issue is wrong to consider. Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Thursday, June 6, 2024 10:06 PM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, Let?s do one issue at a time. Let?s try symbols first. There is plenty of evidence in neurophysiology that one can associate ?meaning? to the activation of certain individual cells. As far as I know, all of the brain-related Nobel prizes were about finding ?meaning? in the activations of certain single neurons. Here I quote from Wikipedia (Single-unit recording - Wikipedia): * 1928: One of the earliest accounts of being able to record from the nervous system was by Edgar Adrian in his 1928 publication "The Basis of Sensation". In this, he describes his recordings of electrical discharges in single nerve fibers using a Lippmann electrometer. He won the Nobel Prize in 1932 for his work revealing the function of neurons.[11] * 1957: John Eccles used intracellular single-unit recording to study synaptic mechanisms in motoneurons (for which he won the Nobel Prize in 1963). * 1959: Studies by David H. Hubel and Torsten Wiesel. They used single neuron recordings to map the visual cortex in unanesthesized, unrestrained cats using tungsten electrodes. This work won them the Nobel Prize in 1981 for information processing in the visual system. * And the work of Mosers and O?Keefe on grid and place cells that won them the Nobel: The 2014 Nobel Prize in Physiology or Medicine - Press release. Here?s a quote about the work on place cells: ?Most neuroscientists once doubted that brain activity could be linked with behaviour, but in the late 1960s, O?Keefe began to record signals from individual neurons in the brains of rats moving freely in a box. He put electrodes in the hippocampus and was surprised to find that individual cells fired when the rats moved to particular spots.? Nobel prize for decoding brain?s sense of place | Nature And then the findings about concept cells (Jennifer Aniston cells), which are single cell recordings. Here?s from Reddy and Thorpe (2014): ?concept cells have ?meaning of a given stimulus in a manner that is invariant to different representations of that stimulus.? We all try to generalize from data, right. If you examine these findings, the most important feature is that they all found ?meaning? in single cell activations. So the most fundamental question for you is: Do you accept these findings and the general conclusion that single cell activations can have meaning? Again, beware that, beyond winning Nobel prizes, much work in neuroscience and other fields follows from these findings. All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang > Sent: Thursday, June 6, 2024 1:09 AM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus >; Weng, Juyang > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side." Not only DL is misconduct, but symbols are another devil. In my IJCNN 2022 paper, http://www.cse.msu.edu/~weng/research/20M-IJCNN2022rvsd-cite.pdf I proved "symbol-free" as one of the 20 million-dollar problems for us to understand human brains. The definition of symbols requires a government, but government-free is one of the 20 million-dollar problems for us to understand human brains. Let us consider three cases: Case 1: If a human designs symbols within a network (e.g., LSTM) and assigns the symbols to some individual neurons (e.g., task-specific gates) of the network, this human is a government within the network since he is task-aware. Case 2: If a human designs symbols within a network and assigns roles to blocks in a functional block diagram, e.g., [Starzyk10], this human is a government within the network. Case 3: In the symbolic AI school, a human programmer designs symbolic representations for a task that is assigned to a computer program or network. This human is a government within the symbolic AI system since he is task-aware. All the 3 cases do not solve the government-free problem. I have attached an image that further explains the symbol problem in the same paper. Let me know if you still do not agree that the brain must be free from symbols after you read the entire paper. By the way, I am surprised that as a mathematician, you still do not understand the Post-Selection misconduct in DL that I raised to you earlier. Please use your own words to explain Post-Selection and why you can handle explanation using Post-Selection misconduct. Best regards, -John Weng ________________________________ From: Connectionists > on behalf of Asim Roy > Sent: Wednesday, June 5, 2024 6:49 PM To: Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: short Op-ed to address AI problems Dear Stephen, We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side. The results are astounding. We get better performance than a pure DL model. And exploring applications with defense agencies. They are impressed with the results we have so far. So, neurosymbolic is definitely the way forward. Best, Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists > On Behalf Of Stephen Jos? Hanson Sent: Wednesday, June 5, 2024 6:06 AM To: Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Flabbergasted: Thankyou, I endeavor to provide short but useful commentary that could be considered a "work of art". Graci! Now either my memory is failing since 2017(not impossible), or you are smoothing over a time series of claims that are actually like a seesaw. I think if we just rewind some of the connectionist comments; it would be clear, in fact, for example, you had a long series of comments with Geoff that seemed to indicate you were being misreprented as well. Your complaints have always be around the fact that DL-AI has false alarms (and to be fair other problems) And sometimes pretty odd-ones. LLMs human and non-human errors are even more interesting. The fact that they seem to grow circuits in the attention-heads is gobsmacking! I thought then and think now you are complaining about peas under a very thick mattress (oh-oh, metaphors now- I may have opened pandora's box.) But I will go look at the budding NeuroSymbolic paper you mentioned, but I have my doubts that the statistical bias is equivalent with the architectually simplistic LLMs. Nonetheless, I have not read it. I will also make a coarse timeline of your comments since 2017, but anyone out there that would like to help, greatly appreciated! Best, Stephen On 6/5/24 8:41 AM, Gary Marcus wrote: Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Fri Jun 7 03:38:38 2024 From: giacomo.cabri at unimore.it (Giacomo Cabri) Date: Fri, 7 Jun 2024 09:38:38 +0200 Subject: Connectionists: WETICE 2024 Call for Participation Message-ID: * 32nd International Conference on Enabling Technologies: **Infrastructure for Collaborative Enterprises (WETICE 2024)* Reggio Emilia (Italy), June 26th-28th, 2024 *Call for Participation* WETICE is the annual international conference on state-of-the-art research in enabling technologies for collaboration. Established thirty-two years ago, WETICE aims at promoting fruitful discussions on the latest technology developments, directions, problems, and requirements. The conference includes presentations, keynote sessions, and group discussions. The program is available here: https://www.ailab.unipr.it/wetice24/program/ Further information on the event is available at https://www.ailab.unipr.it/wetice24/ Topics include but are not limited to: * Distributed and Collaborative Business Processes * Process Mining * Workflow Automation * Cloud Computing for Collaboration * Collaboration in Digital Strategies * Collaborative and Distributed Learning Platforms * Collaborative Supply Chain Management * Distributed Database Technologies * Data Analytics and Fraud Detection * Data for Collaborative Processes * Data Privacy, Anonymity, and Confidentiality * Data Visualization and Analytics * Consensus and Fault Tolerance Algorithms * Decentralized Autonomous Organization * Distributed Cryptographic Algorithms and Protocols * Distributed Trust Management * Formal Verification and Model Checking * Blockchain-based Applications and Services * Decentralized Application Development * Performance and Scalability Issues * Internet of Things for Collaboration * Architecture, Scalability, Governance, and Interoperability * Monitoring and Analysis * Service-Orientation in Systems Engineering * Intelligent Manufacturing Platforms * Logistics and Intralogistics * Smart Grid and Energy Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at msu.edu Fri Jun 7 04:06:17 2024 From: weng at msu.edu (Weng, Juyang) Date: Fri, 7 Jun 2024 08:06:17 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: Dear Asim, You wrote, That single cell firing in a cat?s brain having ?meaning? is not due to ?Asim? or ?a Government.? These cells with ?meaning? develop NATURALLY. Your statement "single cell firing having meaning" is not mathematically meaningful. The brain is a vector of $10^{14}$ dimension. Each neuron corresponds to a dimension. Each neuron does not have a one-to-one correspondence with a symbol (like "Asim". Review the definition of one-to-one correspondence. If you do not mean one-to-one correspondence, your statement is not mathematically meaningful. Best regards, -John Weng ________________________________ From: Asim Roy Sent: Thursday, June 6, 2024 11:21 PM To: Weng, Juyang ; Stephen Jos? Hanson ; Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, There is no ?Asim? or ?Government? in any brain, human or otherwise. That single cell firing in a cat?s brain having ?meaning? is not due to ?Asim? or ?a Government.? These cells with ?meaning? develop NATURALLY. And that?s what you are missing in your Development Network theory. You have not been able to capture in your systems that side of development. Perhaps time to go back to the drawing board. Symbols follow directly from ?single cells having meaning.? All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang Sent: Thursday, June 6, 2024 8:09 PM To: Asim Roy ; Stephen Jos? Hanson ; Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "Let?s do one issue at a time. Let?s try symbols first." This approach misleads you to the wrong track. Case 1: neuron level symbols (your position). Case 2: area level symbols. Case 3: task level symbols. They are all dead ends because Asim is the government of the "brain" model. For all those Asim knows, it is too expensive to create all symbols for the "brain" model. For all those Asim does not know, the model does not know either. Deadends! If you continue this "one issue at a time route," you waste too much time in your life. This is because the first issue is wrong to consider. Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Thursday, June 6, 2024 10:06 PM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, Let?s do one issue at a time. Let?s try symbols first. There is plenty of evidence in neurophysiology that one can associate ?meaning? to the activation of certain individual cells. As far as I know, all of the brain-related Nobel prizes were about finding ?meaning? in the activations of certain single neurons. Here I quote from Wikipedia (Single-unit recording - Wikipedia): * 1928: One of the earliest accounts of being able to record from the nervous system was by Edgar Adrian in his 1928 publication "The Basis of Sensation". In this, he describes his recordings of electrical discharges in single nerve fibers using a Lippmann electrometer. He won the Nobel Prize in 1932 for his work revealing the function of neurons.[11] * 1957: John Eccles used intracellular single-unit recording to study synaptic mechanisms in motoneurons (for which he won the Nobel Prize in 1963). * 1959: Studies by David H. Hubel and Torsten Wiesel. They used single neuron recordings to map the visual cortex in unanesthesized, unrestrained cats using tungsten electrodes. This work won them the Nobel Prize in 1981 for information processing in the visual system. * And the work of Mosers and O?Keefe on grid and place cells that won them the Nobel: The 2014 Nobel Prize in Physiology or Medicine - Press release. Here?s a quote about the work on place cells: ?Most neuroscientists once doubted that brain activity could be linked with behaviour, but in the late 1960s, O?Keefe began to record signals from individual neurons in the brains of rats moving freely in a box. He put electrodes in the hippocampus and was surprised to find that individual cells fired when the rats moved to particular spots.? Nobel prize for decoding brain?s sense of place | Nature And then the findings about concept cells (Jennifer Aniston cells), which are single cell recordings. Here?s from Reddy and Thorpe (2014): ?concept cells have ?meaning of a given stimulus in a manner that is invariant to different representations of that stimulus.? We all try to generalize from data, right. If you examine these findings, the most important feature is that they all found ?meaning? in single cell activations. So the most fundamental question for you is: Do you accept these findings and the general conclusion that single cell activations can have meaning? Again, beware that, beyond winning Nobel prizes, much work in neuroscience and other fields follows from these findings. All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang > Sent: Thursday, June 6, 2024 1:09 AM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus >; Weng, Juyang > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side." Not only DL is misconduct, but symbols are another devil. In my IJCNN 2022 paper, http://www.cse.msu.edu/~weng/research/20M-IJCNN2022rvsd-cite.pdf I proved "symbol-free" as one of the 20 million-dollar problems for us to understand human brains. The definition of symbols requires a government, but government-free is one of the 20 million-dollar problems for us to understand human brains. Let us consider three cases: Case 1: If a human designs symbols within a network (e.g., LSTM) and assigns the symbols to some individual neurons (e.g., task-specific gates) of the network, this human is a government within the network since he is task-aware. Case 2: If a human designs symbols within a network and assigns roles to blocks in a functional block diagram, e.g., [Starzyk10], this human is a government within the network. Case 3: In the symbolic AI school, a human programmer designs symbolic representations for a task that is assigned to a computer program or network. This human is a government within the symbolic AI system since he is task-aware. All the 3 cases do not solve the government-free problem. I have attached an image that further explains the symbol problem in the same paper. Let me know if you still do not agree that the brain must be free from symbols after you read the entire paper. By the way, I am surprised that as a mathematician, you still do not understand the Post-Selection misconduct in DL that I raised to you earlier. Please use your own words to explain Post-Selection and why you can handle explanation using Post-Selection misconduct. Best regards, -John Weng ________________________________ From: Connectionists > on behalf of Asim Roy > Sent: Wednesday, June 5, 2024 6:49 PM To: Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: short Op-ed to address AI problems Dear Stephen, We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side. The results are astounding. We get better performance than a pure DL model. And exploring applications with defense agencies. They are impressed with the results we have so far. So, neurosymbolic is definitely the way forward. Best, Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists > On Behalf Of Stephen Jos? Hanson Sent: Wednesday, June 5, 2024 6:06 AM To: Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Flabbergasted: Thankyou, I endeavor to provide short but useful commentary that could be considered a "work of art". Graci! Now either my memory is failing since 2017(not impossible), or you are smoothing over a time series of claims that are actually like a seesaw. I think if we just rewind some of the connectionist comments; it would be clear, in fact, for example, you had a long series of comments with Geoff that seemed to indicate you were being misreprented as well. Your complaints have always be around the fact that DL-AI has false alarms (and to be fair other problems) And sometimes pretty odd-ones. LLMs human and non-human errors are even more interesting. The fact that they seem to grow circuits in the attention-heads is gobsmacking! I thought then and think now you are complaining about peas under a very thick mattress (oh-oh, metaphors now- I may have opened pandora's box.) But I will go look at the budding NeuroSymbolic paper you mentioned, but I have my doubts that the statistical bias is equivalent with the architectually simplistic LLMs. Nonetheless, I have not read it. I will also make a coarse timeline of your comments since 2017, but anyone out there that would like to help, greatly appreciated! Best, Stephen On 6/5/24 8:41 AM, Gary Marcus wrote: Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at msu.edu Fri Jun 7 04:48:55 2024 From: weng at msu.edu (Weng, Juyang) Date: Fri, 7 Jun 2024 08:48:55 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: Dear Asim, You wrote, "It is a one-to-one correspondence. That?s what the findings are ? from place cells to line orientation cells to concept cells. There is no claim that every neuron in the brain are of that type." The following paper, like other experimental neuroscience papers we may find, did not show one-to-one correspondence. They only showed that if I show this pattern on the screen, multiple neurons in a relatively small V1 area will fire. Mutilple cells respond to the same visual stimulus! T. N. Wiesel and D. H. Hubel, "Ordered arrangement of orientation columns in monkeys lacking visual experience", Journal of Comparative Neurology, vol.158, pp. 307-318, 1974. (Nobel Prize work?) Furthermore, such experiments do not represent any symbolic meanings, only some result of neuronal competition. No neurons in the brain have a one-to-one correspondence to a symbolic meaning (e.g., "60-degree line orientation" or "Asim"). If we do not have a closed-skull model about the emergence of a brain, we do not say "naturally" like "God arranged everything in the world". Best regards, -John Weng ________________________________ From: Asim Roy Sent: Friday, June 7, 2024 4:18 AM To: Weng, Juyang ; Stephen Jos? Hanson ; Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, It is a one-to-one correspondence. That?s what the findings are ? from place cells to line orientation cells to concept cells. There is no claim that every neuron in the brain are of that type. Best, Asim From: Weng, Juyang Sent: Friday, June 7, 2024 1:06 AM To: Asim Roy ; Stephen Jos? Hanson ; Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, That single cell firing in a cat?s brain having ?meaning? is not due to ?Asim? or ?a Government.? These cells with ?meaning? develop NATURALLY. Your statement "single cell firing having meaning" is not mathematically meaningful. The brain is a vector of $10^{14}$ dimension. Each neuron corresponds to a dimension. Each neuron does not have a one-to-one correspondence with a symbol (like "Asim". Review the definition of one-to-one correspondence. If you do not mean one-to-one correspondence, your statement is not mathematically meaningful. Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Thursday, June 6, 2024 11:21 PM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, There is no ?Asim? or ?Government? in any brain, human or otherwise. That single cell firing in a cat?s brain having ?meaning? is not due to ?Asim? or ?a Government.? These cells with ?meaning? develop NATURALLY. And that?s what you are missing in your Development Network theory. You have not been able to capture in your systems that side of development. Perhaps time to go back to the drawing board. Symbols follow directly from ?single cells having meaning.? All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang > Sent: Thursday, June 6, 2024 8:09 PM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "Let?s do one issue at a time. Let?s try symbols first." This approach misleads you to the wrong track. Case 1: neuron level symbols (your position). Case 2: area level symbols. Case 3: task level symbols. They are all dead ends because Asim is the government of the "brain" model. For all those Asim knows, it is too expensive to create all symbols for the "brain" model. For all those Asim does not know, the model does not know either. Deadends! If you continue this "one issue at a time route," you waste too much time in your life. This is because the first issue is wrong to consider. Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Thursday, June 6, 2024 10:06 PM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, Let?s do one issue at a time. Let?s try symbols first. There is plenty of evidence in neurophysiology that one can associate ?meaning? to the activation of certain individual cells. As far as I know, all of the brain-related Nobel prizes were about finding ?meaning? in the activations of certain single neurons. Here I quote from Wikipedia (Single-unit recording - Wikipedia): * 1928: One of the earliest accounts of being able to record from the nervous system was by Edgar Adrian in his 1928 publication "The Basis of Sensation". In this, he describes his recordings of electrical discharges in single nerve fibers using a Lippmann electrometer. He won the Nobel Prize in 1932 for his work revealing the function of neurons.[11] * 1957: John Eccles used intracellular single-unit recording to study synaptic mechanisms in motoneurons (for which he won the Nobel Prize in 1963). * 1959: Studies by David H. Hubel and Torsten Wiesel. They used single neuron recordings to map the visual cortex in unanesthesized, unrestrained cats using tungsten electrodes. This work won them the Nobel Prize in 1981 for information processing in the visual system. * And the work of Mosers and O?Keefe on grid and place cells that won them the Nobel: The 2014 Nobel Prize in Physiology or Medicine - Press release. Here?s a quote about the work on place cells: ?Most neuroscientists once doubted that brain activity could be linked with behaviour, but in the late 1960s, O?Keefe began to record signals from individual neurons in the brains of rats moving freely in a box. He put electrodes in the hippocampus and was surprised to find that individual cells fired when the rats moved to particular spots.? Nobel prize for decoding brain?s sense of place | Nature And then the findings about concept cells (Jennifer Aniston cells), which are single cell recordings. Here?s from Reddy and Thorpe (2014): ?concept cells have ?meaning of a given stimulus in a manner that is invariant to different representations of that stimulus.? We all try to generalize from data, right. If you examine these findings, the most important feature is that they all found ?meaning? in single cell activations. So the most fundamental question for you is: Do you accept these findings and the general conclusion that single cell activations can have meaning? Again, beware that, beyond winning Nobel prizes, much work in neuroscience and other fields follows from these findings. All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang > Sent: Thursday, June 6, 2024 1:09 AM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus >; Weng, Juyang > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side." Not only DL is misconduct, but symbols are another devil. In my IJCNN 2022 paper, http://www.cse.msu.edu/~weng/research/20M-IJCNN2022rvsd-cite.pdf I proved "symbol-free" as one of the 20 million-dollar problems for us to understand human brains. The definition of symbols requires a government, but government-free is one of the 20 million-dollar problems for us to understand human brains. Let us consider three cases: Case 1: If a human designs symbols within a network (e.g., LSTM) and assigns the symbols to some individual neurons (e.g., task-specific gates) of the network, this human is a government within the network since he is task-aware. Case 2: If a human designs symbols within a network and assigns roles to blocks in a functional block diagram, e.g., [Starzyk10], this human is a government within the network. Case 3: In the symbolic AI school, a human programmer designs symbolic representations for a task that is assigned to a computer program or network. This human is a government within the symbolic AI system since he is task-aware. All the 3 cases do not solve the government-free problem. I have attached an image that further explains the symbol problem in the same paper. Let me know if you still do not agree that the brain must be free from symbols after you read the entire paper. By the way, I am surprised that as a mathematician, you still do not understand the Post-Selection misconduct in DL that I raised to you earlier. Please use your own words to explain Post-Selection and why you can handle explanation using Post-Selection misconduct. Best regards, -John Weng ________________________________ From: Connectionists > on behalf of Asim Roy > Sent: Wednesday, June 5, 2024 6:49 PM To: Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: short Op-ed to address AI problems Dear Stephen, We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side. The results are astounding. We get better performance than a pure DL model. And exploring applications with defense agencies. They are impressed with the results we have so far. So, neurosymbolic is definitely the way forward. Best, Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists > On Behalf Of Stephen Jos? Hanson Sent: Wednesday, June 5, 2024 6:06 AM To: Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Flabbergasted: Thankyou, I endeavor to provide short but useful commentary that could be considered a "work of art". Graci! Now either my memory is failing since 2017(not impossible), or you are smoothing over a time series of claims that are actually like a seesaw. I think if we just rewind some of the connectionist comments; it would be clear, in fact, for example, you had a long series of comments with Geoff that seemed to indicate you were being misreprented as well. Your complaints have always be around the fact that DL-AI has false alarms (and to be fair other problems) And sometimes pretty odd-ones. LLMs human and non-human errors are even more interesting. The fact that they seem to grow circuits in the attention-heads is gobsmacking! I thought then and think now you are complaining about peas under a very thick mattress (oh-oh, metaphors now- I may have opened pandora's box.) But I will go look at the budding NeuroSymbolic paper you mentioned, but I have my doubts that the statistical bias is equivalent with the architectually simplistic LLMs. Nonetheless, I have not read it. I will also make a coarse timeline of your comments since 2017, but anyone out there that would like to help, greatly appreciated! Best, Stephen On 6/5/24 8:41 AM, Gary Marcus wrote: Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From ASIM.ROY at asu.edu Fri Jun 7 04:18:47 2024 From: ASIM.ROY at asu.edu (Asim Roy) Date: Fri, 7 Jun 2024 08:18:47 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: Dear John, It is a one-to-one correspondence. That?s what the findings are ? from place cells to line orientation cells to concept cells. There is no claim that every neuron in the brain are of that type. Best, Asim From: Weng, Juyang Sent: Friday, June 7, 2024 1:06 AM To: Asim Roy ; Stephen Jos? Hanson ; Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, That single cell firing in a cat?s brain having ?meaning? is not due to ?Asim? or ?a Government.? These cells with ?meaning? develop NATURALLY. Your statement "single cell firing having meaning" is not mathematically meaningful. The brain is a vector of $10^{14}$ dimension. Each neuron corresponds to a dimension. Each neuron does not have a one-to-one correspondence with a symbol (like "Asim". Review the definition of one-to-one correspondence. If you do not mean one-to-one correspondence, your statement is not mathematically meaningful. Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Thursday, June 6, 2024 11:21 PM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, There is no ?Asim? or ?Government? in any brain, human or otherwise. That single cell firing in a cat?s brain having ?meaning? is not due to ?Asim? or ?a Government.? These cells with ?meaning? develop NATURALLY. And that?s what you are missing in your Development Network theory. You have not been able to capture in your systems that side of development. Perhaps time to go back to the drawing board. Symbols follow directly from ?single cells having meaning.? All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang > Sent: Thursday, June 6, 2024 8:09 PM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "Let?s do one issue at a time. Let?s try symbols first." This approach misleads you to the wrong track. Case 1: neuron level symbols (your position). Case 2: area level symbols. Case 3: task level symbols. They are all dead ends because Asim is the government of the "brain" model. For all those Asim knows, it is too expensive to create all symbols for the "brain" model. For all those Asim does not know, the model does not know either. Deadends! If you continue this "one issue at a time route," you waste too much time in your life. This is because the first issue is wrong to consider. Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Thursday, June 6, 2024 10:06 PM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, Let?s do one issue at a time. Let?s try symbols first. There is plenty of evidence in neurophysiology that one can associate ?meaning? to the activation of certain individual cells. As far as I know, all of the brain-related Nobel prizes were about finding ?meaning? in the activations of certain single neurons. Here I quote from Wikipedia (Single-unit recording - Wikipedia): * 1928: One of the earliest accounts of being able to record from the nervous system was by Edgar Adrian in his 1928 publication "The Basis of Sensation". In this, he describes his recordings of electrical discharges in single nerve fibers using a Lippmann electrometer. He won the Nobel Prize in 1932 for his work revealing the function of neurons.[11] * 1957: John Eccles used intracellular single-unit recording to study synaptic mechanisms in motoneurons (for which he won the Nobel Prize in 1963). * 1959: Studies by David H. Hubel and Torsten Wiesel. They used single neuron recordings to map the visual cortex in unanesthesized, unrestrained cats using tungsten electrodes. This work won them the Nobel Prize in 1981 for information processing in the visual system. * And the work of Mosers and O?Keefe on grid and place cells that won them the Nobel: The 2014 Nobel Prize in Physiology or Medicine - Press release. Here?s a quote about the work on place cells: ?Most neuroscientists once doubted that brain activity could be linked with behaviour, but in the late 1960s, O?Keefe began to record signals from individual neurons in the brains of rats moving freely in a box. He put electrodes in the hippocampus and was surprised to find that individual cells fired when the rats moved to particular spots.? Nobel prize for decoding brain?s sense of place | Nature And then the findings about concept cells (Jennifer Aniston cells), which are single cell recordings. Here?s from Reddy and Thorpe (2014): ?concept cells have ?meaning of a given stimulus in a manner that is invariant to different representations of that stimulus.? We all try to generalize from data, right. If you examine these findings, the most important feature is that they all found ?meaning? in single cell activations. So the most fundamental question for you is: Do you accept these findings and the general conclusion that single cell activations can have meaning? Again, beware that, beyond winning Nobel prizes, much work in neuroscience and other fields follows from these findings. All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang > Sent: Thursday, June 6, 2024 1:09 AM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus >; Weng, Juyang > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side." Not only DL is misconduct, but symbols are another devil. In my IJCNN 2022 paper, http://www.cse.msu.edu/~weng/research/20M-IJCNN2022rvsd-cite.pdf I proved "symbol-free" as one of the 20 million-dollar problems for us to understand human brains. The definition of symbols requires a government, but government-free is one of the 20 million-dollar problems for us to understand human brains. Let us consider three cases: Case 1: If a human designs symbols within a network (e.g., LSTM) and assigns the symbols to some individual neurons (e.g., task-specific gates) of the network, this human is a government within the network since he is task-aware. Case 2: If a human designs symbols within a network and assigns roles to blocks in a functional block diagram, e.g., [Starzyk10], this human is a government within the network. Case 3: In the symbolic AI school, a human programmer designs symbolic representations for a task that is assigned to a computer program or network. This human is a government within the symbolic AI system since he is task-aware. All the 3 cases do not solve the government-free problem. I have attached an image that further explains the symbol problem in the same paper. Let me know if you still do not agree that the brain must be free from symbols after you read the entire paper. By the way, I am surprised that as a mathematician, you still do not understand the Post-Selection misconduct in DL that I raised to you earlier. Please use your own words to explain Post-Selection and why you can handle explanation using Post-Selection misconduct. Best regards, -John Weng ________________________________ From: Connectionists > on behalf of Asim Roy > Sent: Wednesday, June 5, 2024 6:49 PM To: Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: short Op-ed to address AI problems Dear Stephen, We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side. The results are astounding. We get better performance than a pure DL model. And exploring applications with defense agencies. They are impressed with the results we have so far. So, neurosymbolic is definitely the way forward. Best, Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists > On Behalf Of Stephen Jos? Hanson Sent: Wednesday, June 5, 2024 6:06 AM To: Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Flabbergasted: Thankyou, I endeavor to provide short but useful commentary that could be considered a "work of art". Graci! Now either my memory is failing since 2017(not impossible), or you are smoothing over a time series of claims that are actually like a seesaw. I think if we just rewind some of the connectionist comments; it would be clear, in fact, for example, you had a long series of comments with Geoff that seemed to indicate you were being misreprented as well. Your complaints have always be around the fact that DL-AI has false alarms (and to be fair other problems) And sometimes pretty odd-ones. LLMs human and non-human errors are even more interesting. The fact that they seem to grow circuits in the attention-heads is gobsmacking! I thought then and think now you are complaining about peas under a very thick mattress (oh-oh, metaphors now- I may have opened pandora's box.) But I will go look at the budding NeuroSymbolic paper you mentioned, but I have my doubts that the statistical bias is equivalent with the architectually simplistic LLMs. Nonetheless, I have not read it. I will also make a coarse timeline of your comments since 2017, but anyone out there that would like to help, greatly appreciated! Best, Stephen On 6/5/24 8:41 AM, Gary Marcus wrote: Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From ASIM.ROY at asu.edu Fri Jun 7 05:06:44 2024 From: ASIM.ROY at asu.edu (Asim Roy) Date: Fri, 7 Jun 2024 09:06:44 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: Dear John, Yes, aware of multiple cells firing, but there?s also a dominant one. Take a look at Reddy and Thorpe (2014): ?concept cells have ?meaning of a given stimulus in a manner that is invariant to different representations of that stimulus.? You are going from ?mathematically meaningful? to ?symbolic meanings.? I am confused. These terms need definition. And you started with ?government? creating symbols. Since we are the only ones arguing, let?s take this offline. Best, Asim From: Weng, Juyang Sent: Friday, June 7, 2024 1:49 AM To: Asim Roy ; Stephen Jos? Hanson ; Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "It is a one-to-one correspondence. That?s what the findings are ? from place cells to line orientation cells to concept cells. There is no claim that every neuron in the brain are of that type." The following paper, like other experimental neuroscience papers we may find, did not show one-to-one correspondence. They only showed that if I show this pattern on the screen, multiple neurons in a relatively small V1 area will fire. Mutilple cells respond to the same visual stimulus! T. N. Wiesel and D. H. Hubel, "Ordered arrangement of orientation columns in monkeys lacking visual experience", Journal of Comparative Neurology, vol.158, pp. 307-318, 1974. (Nobel Prize work?) Furthermore, such experiments do not represent any symbolic meanings, only some result of neuronal competition. No neurons in the brain have a one-to-one correspondence to a symbolic meaning (e.g., "60-degree line orientation" or "Asim"). If we do not have a closed-skull model about the emergence of a brain, we do not say "naturally" like "God arranged everything in the world". Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Friday, June 7, 2024 4:18 AM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, It is a one-to-one correspondence. That?s what the findings are ? from place cells to line orientation cells to concept cells. There is no claim that every neuron in the brain are of that type. Best, Asim From: Weng, Juyang > Sent: Friday, June 7, 2024 1:06 AM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, That single cell firing in a cat?s brain having ?meaning? is not due to ?Asim? or ?a Government.? These cells with ?meaning? develop NATURALLY. Your statement "single cell firing having meaning" is not mathematically meaningful. The brain is a vector of $10^{14}$ dimension. Each neuron corresponds to a dimension. Each neuron does not have a one-to-one correspondence with a symbol (like "Asim". Review the definition of one-to-one correspondence. If you do not mean one-to-one correspondence, your statement is not mathematically meaningful. Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Thursday, June 6, 2024 11:21 PM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, There is no ?Asim? or ?Government? in any brain, human or otherwise. That single cell firing in a cat?s brain having ?meaning? is not due to ?Asim? or ?a Government.? These cells with ?meaning? develop NATURALLY. And that?s what you are missing in your Development Network theory. You have not been able to capture in your systems that side of development. Perhaps time to go back to the drawing board. Symbols follow directly from ?single cells having meaning.? All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang > Sent: Thursday, June 6, 2024 8:09 PM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "Let?s do one issue at a time. Let?s try symbols first." This approach misleads you to the wrong track. Case 1: neuron level symbols (your position). Case 2: area level symbols. Case 3: task level symbols. They are all dead ends because Asim is the government of the "brain" model. For all those Asim knows, it is too expensive to create all symbols for the "brain" model. For all those Asim does not know, the model does not know either. Deadends! If you continue this "one issue at a time route," you waste too much time in your life. This is because the first issue is wrong to consider. Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Thursday, June 6, 2024 10:06 PM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, Let?s do one issue at a time. Let?s try symbols first. There is plenty of evidence in neurophysiology that one can associate ?meaning? to the activation of certain individual cells. As far as I know, all of the brain-related Nobel prizes were about finding ?meaning? in the activations of certain single neurons. Here I quote from Wikipedia (Single-unit recording - Wikipedia): * 1928: One of the earliest accounts of being able to record from the nervous system was by Edgar Adrian in his 1928 publication "The Basis of Sensation". In this, he describes his recordings of electrical discharges in single nerve fibers using a Lippmann electrometer. He won the Nobel Prize in 1932 for his work revealing the function of neurons.[11] * 1957: John Eccles used intracellular single-unit recording to study synaptic mechanisms in motoneurons (for which he won the Nobel Prize in 1963). * 1959: Studies by David H. Hubel and Torsten Wiesel. They used single neuron recordings to map the visual cortex in unanesthesized, unrestrained cats using tungsten electrodes. This work won them the Nobel Prize in 1981 for information processing in the visual system. * And the work of Mosers and O?Keefe on grid and place cells that won them the Nobel: The 2014 Nobel Prize in Physiology or Medicine - Press release. Here?s a quote about the work on place cells: ?Most neuroscientists once doubted that brain activity could be linked with behaviour, but in the late 1960s, O?Keefe began to record signals from individual neurons in the brains of rats moving freely in a box. He put electrodes in the hippocampus and was surprised to find that individual cells fired when the rats moved to particular spots.? Nobel prize for decoding brain?s sense of place | Nature And then the findings about concept cells (Jennifer Aniston cells), which are single cell recordings. Here?s from Reddy and Thorpe (2014): ?concept cells have ?meaning of a given stimulus in a manner that is invariant to different representations of that stimulus.? We all try to generalize from data, right. If you examine these findings, the most important feature is that they all found ?meaning? in single cell activations. So the most fundamental question for you is: Do you accept these findings and the general conclusion that single cell activations can have meaning? Again, beware that, beyond winning Nobel prizes, much work in neuroscience and other fields follows from these findings. All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang > Sent: Thursday, June 6, 2024 1:09 AM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus >; Weng, Juyang > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side." Not only DL is misconduct, but symbols are another devil. In my IJCNN 2022 paper, http://www.cse.msu.edu/~weng/research/20M-IJCNN2022rvsd-cite.pdf I proved "symbol-free" as one of the 20 million-dollar problems for us to understand human brains. The definition of symbols requires a government, but government-free is one of the 20 million-dollar problems for us to understand human brains. Let us consider three cases: Case 1: If a human designs symbols within a network (e.g., LSTM) and assigns the symbols to some individual neurons (e.g., task-specific gates) of the network, this human is a government within the network since he is task-aware. Case 2: If a human designs symbols within a network and assigns roles to blocks in a functional block diagram, e.g., [Starzyk10], this human is a government within the network. Case 3: In the symbolic AI school, a human programmer designs symbolic representations for a task that is assigned to a computer program or network. This human is a government within the symbolic AI system since he is task-aware. All the 3 cases do not solve the government-free problem. I have attached an image that further explains the symbol problem in the same paper. Let me know if you still do not agree that the brain must be free from symbols after you read the entire paper. By the way, I am surprised that as a mathematician, you still do not understand the Post-Selection misconduct in DL that I raised to you earlier. Please use your own words to explain Post-Selection and why you can handle explanation using Post-Selection misconduct. Best regards, -John Weng ________________________________ From: Connectionists > on behalf of Asim Roy > Sent: Wednesday, June 5, 2024 6:49 PM To: Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: short Op-ed to address AI problems Dear Stephen, We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side. The results are astounding. We get better performance than a pure DL model. And exploring applications with defense agencies. They are impressed with the results we have so far. So, neurosymbolic is definitely the way forward. Best, Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists > On Behalf Of Stephen Jos? Hanson Sent: Wednesday, June 5, 2024 6:06 AM To: Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Flabbergasted: Thankyou, I endeavor to provide short but useful commentary that could be considered a "work of art". Graci! Now either my memory is failing since 2017(not impossible), or you are smoothing over a time series of claims that are actually like a seesaw. I think if we just rewind some of the connectionist comments; it would be clear, in fact, for example, you had a long series of comments with Geoff that seemed to indicate you were being misreprented as well. Your complaints have always be around the fact that DL-AI has false alarms (and to be fair other problems) And sometimes pretty odd-ones. LLMs human and non-human errors are even more interesting. The fact that they seem to grow circuits in the attention-heads is gobsmacking! I thought then and think now you are complaining about peas under a very thick mattress (oh-oh, metaphors now- I may have opened pandora's box.) But I will go look at the budding NeuroSymbolic paper you mentioned, but I have my doubts that the statistical bias is equivalent with the architectually simplistic LLMs. Nonetheless, I have not read it. I will also make a coarse timeline of your comments since 2017, but anyone out there that would like to help, greatly appreciated! Best, Stephen On 6/5/24 8:41 AM, Gary Marcus wrote: Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From till at iks.cs.ovgu.de Fri Jun 7 05:18:33 2024 From: till at iks.cs.ovgu.de (Till Mossakowski) Date: Fri, 7 Jun 2024 11:18:33 +0200 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: <6076e180-e2bd-4249-b331-b20c471fe285@iks.cs.ovgu.de> see also "The Roles of Symbols in Neural-Based AI: They Are Not What You Think!" by Daniel L. Silver, Tom M. Mitchell https://ebooks.iospress.nl/volumearticle/63710 *Abstract* We propose that symbols are first and foremost external communication tools used between intelligent agents that allow knowledge to be transferred in a more efficient and effective manner than having to experience the world directly. But, they are also used internally within an agent through a form of self-communication to help formulate, describe and justify subsymbolic patterns of neural activity that truly implement thinking. Symbols, and our languages that make use of them, not only allow us to explain our thinking to others and ourselves, but also provide beneficial constraints (inductive bias) on learning about the world. In this paper we present relevant insights from neuroscience and cognitive science, about how the human brain represents symbols and the concepts they refer to, and how today?s artificial neural networks can do the same. We then present a novel neuro-symbolic hypothesis and a plausible architecture for intelligent agents that combines subsymbolic representations for symbols and concepts for learning and reasoning. Our hypothesis and associated architecture imply that symbols will remain critical to the future of intelligent systems NOT because they are the fundamental building blocks of thought, but because they are characterizations of subsymbolic processes that constitute thought. Am 07.06.24 um 10:06 schrieb Weng, Juyang: > Dear Asim, > ? ? You wrote, That single cell firing in a cat?s brain having > ?meaning? is not due to ?Asim? or ?a Government.? These cells with > ?meaning? develop NATURALLY. > ? ?Your statement "single cell firing having meaning" is not > mathematically meaningful.? The brain is a vector of $10^{14}$ > dimension.? Each neuron corresponds to a dimension.? Each neuron does > not have a one-to-one correspondence with a symbol (like "Asim".? > ?Review the definition of one-to-one correspondence. If you do not > mean one-to-one correspondence, your statement is not mathematically > meaningful. > ? ? Best regards, > -John Weng > ------------------------------------------------------------------------ > *From:* Asim Roy > *Sent:* Thursday, June 6, 2024 11:21 PM > *To:* Weng, Juyang ; Stephen Jos? Hanson > ; Gary Marcus > *Cc:* connectionists at mailman.srv.cs.cmu.edu > > *Subject:* RE: Connectionists: short Op-ed to address AI problems > > Dear John, > > There is no ?Asim? or ?Government? in any brain, human or otherwise. > That single cell firing in a cat?s brain having ?meaning? is not due > to ?Asim? or ?a Government.? These cells with ?meaning? develop > NATURALLY. And that?s what you are missing in your Development Network > theory. You have not been able to capture in your systems that side of > development. Perhaps time to go back to the drawing board. Symbols > follow directly from ?single cells having meaning.? > > All the best, > > Asim Roy > > Professor, Information Systems > > Arizona State University > > Lifeboat Foundation Bios: Professor Asim Roy > > > Asim Roy | iSearch (asu.edu) > > > *From:*Weng, Juyang > *Sent:* Thursday, June 6, 2024 8:09 PM > *To:* Asim Roy ; Stephen Jos? Hanson > ; Gary Marcus > *Cc:* connectionists at mailman.srv.cs.cmu.edu > *Subject:* Re: Connectionists: short Op-ed to address AI problems > > Dear Asim, > > ? ?You wrote, "Let?s do one issue at a time. Let?s try symbols > first."? This approach misleads you to the wrong track. > > ? ?Case 1: neuron level symbols (your position). > > ? ?Case 2: area level symbols. > > ? ?Case 3: task level symbols. > > ? ?They are all dead ends because Asim is the government of the > "brain" model. > > ? ? For all those Asim knows, it is too expensive to create all > symbols for the "brain" model. > > ? ? For all those Asim does not know, the model does not know either. > > ? ? Deadends!? If you continue this "one issue at a time route," you > waste too much time in your life.? This is because the first issue is > wrong to consider. > > ? ? Best regards, > > -John Weng > > ------------------------------------------------------------------------ > > *From:*Asim Roy > *Sent:* Thursday, June 6, 2024 10:06 PM > *To:* Weng, Juyang ; Stephen Jos? Hanson > ; Gary Marcus > *Cc:* connectionists at mailman.srv.cs.cmu.edu > > *Subject:* RE: Connectionists: short Op-ed to address AI problems > > Dear John, > > Let?s do one issue at a time. Let?s try symbols first. There is plenty > of evidence in neurophysiology that one can associate ?meaning? to the > activation of certain individual cells. As far as I know, all of the > brain-related Nobel prizes were about finding ?meaning? in the > activations of certain single neurons. Here I quote from Wikipedia > (Single-unit recording - Wikipedia > ): > > * 1928: One of the earliest accounts of being able to record from > the nervous system was by Edgar Adrian > ?in > his 1928 publication "The Basis of Sensation". In this, he > describes his recordings of electrical discharges in _single nerve > fibers_ using a Lippmann electrometer > . > He won the Nobel Prize in 1932 for his work revealing the function > of neurons.^[11] > > > * 1957: John Eccles > ?used > intracellular _single-unit recording_ to study synaptic mechanisms > in motoneurons (for which he won the Nobel Prize in 1963). > * 1959: Studies by David H. Hubel > ?and > Torsten Wiesel > . > They used _single neuron recordings_ to map the visual cortex in > unanesthesized, unrestrained cats using tungsten electrodes. This > work won them the Nobel Prize in 1981 for information processing > in the visual system. > > * And the work of Mosers and O?Keefe on grid and place cells that > won them the Nobel: The 2014 Nobel Prize in Physiology or Medicine > - Press release > . > Here?s a quote about the work on place cells: > > ?/Most neuroscientists once doubted that brain activity could be > linked with behaviour, but in the late 1960s, *O*?Keefe began to > record signals from individual neurons in the brains of rats moving > freely in a box. He put electrodes in the hippocampus and was > surprised to find that _individual cells fired_ when the rats moved to > particular spots/.?Nobel prize for decoding brain?s sense of place | > Nature > > > And then the findings about concept cells (Jennifer Aniston cells), > which are single cell recordings. Here?s from Reddy and Thorpe (2014) > : > ?concept cells have ?*/_meaning_/*?of a given stimulus in a manner > that is */invariant/*?to different representations of that stimulus.? > > We all try to generalize from data, right. If you examine these > findings, the most important feature is that they all found ?meaning? > in single cell activations. So the most fundamental question for you > is: Do you accept these findings and the general conclusion that > single cell activations can have meaning? Again, beware that, beyond > winning Nobel prizes, much work in neuroscience and other fields > follows from these findings. > > All the best, > > Asim Roy > > Professor, Information Systems > > Arizona State University > > Lifeboat Foundation Bios: Professor Asim Roy > > > Asim Roy | iSearch (asu.edu) > > > *From:*Weng, Juyang > *Sent:* Thursday, June 6, 2024 1:09 AM > *To:* Asim Roy ; Stephen Jos? Hanson > ; Gary Marcus ; Weng, > Juyang > *Cc:* connectionists at mailman.srv.cs.cmu.edu > *Subject:* Re: Connectionists: short Op-ed to address AI problems > > Dear Asim, > > ? ?You wrote, "We are doing neurosymbolic with image processing ? the > symbolic stuff on top of a DL model. It also brings in the explanation > side." > > ? ?Not only DL is misconduct, but symbols are another devil. > > ? ?In my IJCNN 2022 paper, > > http://www.cse.msu.edu/~weng/research/20M-IJCNN2022rvsd-cite.pdf > > > ? ?I proved "symbol-free" as one of the 20 million-dollar problems for > us to understand human brains. > > ? ?The definition of symbols requires a government,? but > government-free is one of the 20 million-dollar problems for us to > understand human brains. > > ? ?Let us consider three cases: > > ? Case 1: ?If a human designs symbols within a network (e.g., LSTM) > and assigns the symbols to some individual neurons (e.g., > task-specific gates) of the network, this human is a government within > the network since he is task-aware. > > ? Case 2: If a human designs symbols within a network and assigns > roles to blocks in a functional block diagram, e.g., [Starzyk10], this > human is a government within the network. > > ? Case 3: In the symbolic AI school, a human programmer designs > symbolic representations for a task that is assigned to a computer > program or network. ?This human is a government within the symbolic AI > system since he is task-aware. > > ? ?All the 3 cases do not solve the government-free problem. > > ? I have attached an image that further explains the symbol problem in > the same paper. > > ? Let me know if you still do not agree that the brain must be free > from symbols after you read the entire paper. > > ? ?By the way, I am surprised that as a mathematician, you still do > not understand the Post-Selection misconduct in DL that I raised to > you earlier.? Please use your own words to explain Post-Selection and > why you can handle explanation using Post-Selection misconduct. > > ? ?Best regards, > > -John Weng > > ------------------------------------------------------------------------ > > *From:*?Connectionists > on behalf of Asim Roy > *Sent:*?Wednesday, June 5, 2024 6:49 PM > *To:*?Stephen Jos? Hanson ; Gary Marcus > > *Cc:* connectionists at mailman.srv.cs.cmu.edu > > *Subject:*?Re: Connectionists: short Op-ed to address AI problems > > Dear Stephen, > > We are doing neurosymbolic with image processing ? the symbolic stuff > on top of a DL model. It also brings in the explanation side. The > results are astounding. We get better performance than a pure DL > model. And exploring applications with defense agencies. They are > impressed with the results we have so far. So, neurosymbolic is > definitely the way forward. > > Best, > > Asim Roy > > Professor, Information Systems > > Arizona State University > > _Asim Roy | ASU Search > _ > > _Lifeboat Foundation Bios: Professor Asim Roy > _ > > *From:*?Connectionists > *On Behalf Of *Stephen Jos? Hanson > *Sent:*?Wednesday, June 5, 2024 6:06 AM > *To:*?Gary Marcus > *Cc:* connectionists at mailman.srv.cs.cmu.edu > *Subject:*?Re: Connectionists: short Op-ed to address AI problems > > Dear Flabbergasted: > > Thankyou, I endeavor to provide short but useful commentary that could > be considered a "work of art".? Graci! > > Now either my memory is failing since 2017(not impossible), or you are > smoothing over a time series of claims that are actually like a seesaw. > > I think if we just rewind some of the connectionist comments; it would > be clear, in fact, for example, you had a long series of comments with > Geoff that seemed to indicate you were being misreprented as well.? > Your complaints have always be around the fact that DL-AI has false > alarms (and to be fair other problems) ? And sometimes pretty > odd-ones.? LLMs human and non-human errors are even more interesting.? > The fact that they seem to grow circuits in the attention-heads is > gobsmacking! ? I thought then and think now you are complaining about > peas under a very thick mattress (oh-oh,? metaphors now- I may have > opened pandora's box.) > > But I will go look at the budding NeuroSymbolic paper you mentioned, > but I have my doubts that the statistical bias is equivalent with the > architectually simplistic LLMs.? Nonetheless, I have not read it. > > I will also make a? coarse? timeline of your comments since 2017, but > anyone out there that would like to help, greatly appreciated! > > Best, > > Stephen > > On 6/5/24 8:41 AM, Gary Marcus wrote: > > Wow, Stephen, you have outdone yourself. This note is a startling > mixture of rude, condescending, inaccurate, and uninformed. A work > of art! > > To correct four misunderstandings: > > 1. Yes, my essay was written before LLMs were popular (though > around the time Transformers were proposed as it happens). It was > however /precisely/?? ?a moonshot idea, that doesn't involve > leaving the blackbox in the hands of corporate types who value > profits over knowledge.? Please read what I wrote. It?s one page, > linked below, and you obviously couldn?t be bothered,. > (Parenthetically, I was one of the first people to warn that > OpenAI was likely to be problematic, ?and have done so repeatedly > at my Substack.) > > 2. My argument throughout (back to 2012, in the New Yorker, 2018 > in my Deep Learning: A Critical Appraisal, etc) has been that deep > learning has some role but cannot solve all things, and that it > would be not reliable on its own. In 2019 onwards I emphasized > many of the social problems that arise from relying on such > unreliable architectures. I have never wavered from any of that. > (Again, please read my work before so grossly distorting it.) > Unreliable systems that are blind to truth and values can cause > harm (bias), be exploited (to create disinformation), etc. There > is absolutely no contradiction there, as I have explained numerous > times in my writings. > > 3. It?s truly rude to dismiss an entire field as ?flotsam and > jetsam?, ?and you obviously aren?t following the neurosymbolic > literature, e.g., you must have missed DeepMind?s neurosymbolic > AlphaGeometry paper, in Nature, with its state of the art results, > beating pure neural nets. > > 4. Again, nothing has changed about my view; your last remark is > gratuitous and based on a misunderstanding. > > Truly flabbergasted, > > Gary > > On Jun 5, 2024, at 05:18, Stephen Jos? Hanson > _ _?wrote: > > ? > > Gary, this was before the LLM discovery. Pierre is proposing a > moonshot idea, that doesn't involve leaving the blackbox in > the hands of corporate types who value profits over > knowledge.? OPENAI seems to be flailing and having serious > safety and security issues.? It certainly could be recipe for > diaster. > > Frankly your views have been all over the place.? DL doesn't > work, DL could work but should be merged with the useless > flotsam and jetsam from GOFAI over the last 50 years, and now > they are too dangerous because they work but they are > unreliable, like most humans. > > Its hard to know what views of yours to take seriously as they > seem change so rapidly. > > Cheers > > Stephen > > On 6/4/24 9:53 AM, Gary Marcus wrote: > > I would just point out that I first made this suggestion > [CERN for AI] in the New York Times in 2017, and several > others have since. There is some effort ongoing to try to > make it happen, if you search you will see. > > <30gray-facebookJumbo.jpg> > > _Opinion | Artificial Intelligence Is Stuck. Here?s How to > Move It Forward. (Gift Article) > _ > > _nytimes.com > _ > > On Jun 3, 2024, at 22:58, Baldi,Pierre > _ > _?wrote: > > ? > I would appreciate feedback from this group,especially > dissenting feedback,? on the attached Op-ed. You can > send it to my personal email which you can find on my > university web site if you prefer. The basic idea is > simple: > > IF for scientific, security, or other societal reasons > we want academics to develop and study the most > advanced forms of AI, I can see only one solution:? > create? a national or international effort around the > largest data/computing center on Earth with a > CERN-like structure comprising permanent staff, and > 1000s of affiliated academic laboratories. There are > many obstacles, but none is completely insurmountable > if we wanted to. > > Thank you. > > Pierre > > > > > -- > > Stephen Jos? Hanson > > Professor of Psychology > > Director of RUBIC > > Member of Exc Comm RUCCS > > -- > Stephen Jos? Hanson > Professor of Psychology > Director of RUBIC > Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From ASIM.ROY at asu.edu Fri Jun 7 05:37:38 2024 From: ASIM.ROY at asu.edu (Asim Roy) Date: Fri, 7 Jun 2024 09:37:38 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: Dear John, There is no conflict between competition and symbolic meaning. I would again suggest taking a look at Reddy and Thorpe (2014) to get an understanding of what ?meaning? is in the context of concept cells. And have your development network try to create something similar to concept cells. I will leave it that. We had enough. Best, Asim From: Weng, Juyang Sent: Friday, June 7, 2024 2:22 AM To: Asim Roy ; Stephen Jos? Hanson ; Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "Yes, aware of multiple cells firing, but there?s also a dominant one." This statement supports my point: neuronal firings are a result of competition, not the meaning of a stimulus in Asim's head. For brain modeling, we must not assume "God arranged everything in the brain" like "God arranged every neuron's symbolic meanings". Every brain model must start with what we know about what biological cells can do, which needs a lot of biological knowledge. Have you taken at least a college-level biology course? If you had, you would not write "NATURALLY". Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Friday, June 7, 2024 5:06 AM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, Yes, aware of multiple cells firing, but there?s also a dominant one. Take a look at Reddy and Thorpe (2014): ?concept cells have ?meaning of a given stimulus in a manner that is invariant to different representations of that stimulus.? You are going from ?mathematically meaningful? to ?symbolic meanings.? I am confused. These terms need definition. And you started with ?government? creating symbols. Since we are the only ones arguing, let?s take this offline. Best, Asim From: Weng, Juyang > Sent: Friday, June 7, 2024 1:49 AM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "It is a one-to-one correspondence. That?s what the findings are ? from place cells to line orientation cells to concept cells. There is no claim that every neuron in the brain are of that type." The following paper, like other experimental neuroscience papers we may find, did not show one-to-one correspondence. They only showed that if I show this pattern on the screen, multiple neurons in a relatively small V1 area will fire. Mutilple cells respond to the same visual stimulus! T. N. Wiesel and D. H. Hubel, "Ordered arrangement of orientation columns in monkeys lacking visual experience", Journal of Comparative Neurology, vol.158, pp. 307-318, 1974. (Nobel Prize work?) Furthermore, such experiments do not represent any symbolic meanings, only some result of neuronal competition. No neurons in the brain have a one-to-one correspondence to a symbolic meaning (e.g., "60-degree line orientation" or "Asim"). If we do not have a closed-skull model about the emergence of a brain, we do not say "naturally" like "God arranged everything in the world". Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Friday, June 7, 2024 4:18 AM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, It is a one-to-one correspondence. That?s what the findings are ? from place cells to line orientation cells to concept cells. There is no claim that every neuron in the brain are of that type. Best, Asim From: Weng, Juyang > Sent: Friday, June 7, 2024 1:06 AM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, That single cell firing in a cat?s brain having ?meaning? is not due to ?Asim? or ?a Government.? These cells with ?meaning? develop NATURALLY. Your statement "single cell firing having meaning" is not mathematically meaningful. The brain is a vector of $10^{14}$ dimension. Each neuron corresponds to a dimension. Each neuron does not have a one-to-one correspondence with a symbol (like "Asim". Review the definition of one-to-one correspondence. If you do not mean one-to-one correspondence, your statement is not mathematically meaningful. Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Thursday, June 6, 2024 11:21 PM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, There is no ?Asim? or ?Government? in any brain, human or otherwise. That single cell firing in a cat?s brain having ?meaning? is not due to ?Asim? or ?a Government.? These cells with ?meaning? develop NATURALLY. And that?s what you are missing in your Development Network theory. You have not been able to capture in your systems that side of development. Perhaps time to go back to the drawing board. Symbols follow directly from ?single cells having meaning.? All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang > Sent: Thursday, June 6, 2024 8:09 PM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "Let?s do one issue at a time. Let?s try symbols first." This approach misleads you to the wrong track. Case 1: neuron level symbols (your position). Case 2: area level symbols. Case 3: task level symbols. They are all dead ends because Asim is the government of the "brain" model. For all those Asim knows, it is too expensive to create all symbols for the "brain" model. For all those Asim does not know, the model does not know either. Deadends! If you continue this "one issue at a time route," you waste too much time in your life. This is because the first issue is wrong to consider. Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Thursday, June 6, 2024 10:06 PM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, Let?s do one issue at a time. Let?s try symbols first. There is plenty of evidence in neurophysiology that one can associate ?meaning? to the activation of certain individual cells. As far as I know, all of the brain-related Nobel prizes were about finding ?meaning? in the activations of certain single neurons. Here I quote from Wikipedia (Single-unit recording - Wikipedia): * 1928: One of the earliest accounts of being able to record from the nervous system was by Edgar Adrian in his 1928 publication "The Basis of Sensation". In this, he describes his recordings of electrical discharges in single nerve fibers using a Lippmann electrometer. He won the Nobel Prize in 1932 for his work revealing the function of neurons.[11] * 1957: John Eccles used intracellular single-unit recording to study synaptic mechanisms in motoneurons (for which he won the Nobel Prize in 1963). * 1959: Studies by David H. Hubel and Torsten Wiesel. They used single neuron recordings to map the visual cortex in unanesthesized, unrestrained cats using tungsten electrodes. This work won them the Nobel Prize in 1981 for information processing in the visual system. * And the work of Mosers and O?Keefe on grid and place cells that won them the Nobel: The 2014 Nobel Prize in Physiology or Medicine - Press release. Here?s a quote about the work on place cells: ?Most neuroscientists once doubted that brain activity could be linked with behaviour, but in the late 1960s, O?Keefe began to record signals from individual neurons in the brains of rats moving freely in a box. He put electrodes in the hippocampus and was surprised to find that individual cells fired when the rats moved to particular spots.? Nobel prize for decoding brain?s sense of place | Nature And then the findings about concept cells (Jennifer Aniston cells), which are single cell recordings. Here?s from Reddy and Thorpe (2014): ?concept cells have ?meaning of a given stimulus in a manner that is invariant to different representations of that stimulus.? We all try to generalize from data, right. If you examine these findings, the most important feature is that they all found ?meaning? in single cell activations. So the most fundamental question for you is: Do you accept these findings and the general conclusion that single cell activations can have meaning? Again, beware that, beyond winning Nobel prizes, much work in neuroscience and other fields follows from these findings. All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang > Sent: Thursday, June 6, 2024 1:09 AM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus >; Weng, Juyang > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side." Not only DL is misconduct, but symbols are another devil. In my IJCNN 2022 paper, http://www.cse.msu.edu/~weng/research/20M-IJCNN2022rvsd-cite.pdf I proved "symbol-free" as one of the 20 million-dollar problems for us to understand human brains. The definition of symbols requires a government, but government-free is one of the 20 million-dollar problems for us to understand human brains. Let us consider three cases: Case 1: If a human designs symbols within a network (e.g., LSTM) and assigns the symbols to some individual neurons (e.g., task-specific gates) of the network, this human is a government within the network since he is task-aware. Case 2: If a human designs symbols within a network and assigns roles to blocks in a functional block diagram, e.g., [Starzyk10], this human is a government within the network. Case 3: In the symbolic AI school, a human programmer designs symbolic representations for a task that is assigned to a computer program or network. This human is a government within the symbolic AI system since he is task-aware. All the 3 cases do not solve the government-free problem. I have attached an image that further explains the symbol problem in the same paper. Let me know if you still do not agree that the brain must be free from symbols after you read the entire paper. By the way, I am surprised that as a mathematician, you still do not understand the Post-Selection misconduct in DL that I raised to you earlier. Please use your own words to explain Post-Selection and why you can handle explanation using Post-Selection misconduct. Best regards, -John Weng ________________________________ From: Connectionists > on behalf of Asim Roy > Sent: Wednesday, June 5, 2024 6:49 PM To: Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: short Op-ed to address AI problems Dear Stephen, We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side. The results are astounding. We get better performance than a pure DL model. And exploring applications with defense agencies. They are impressed with the results we have so far. So, neurosymbolic is definitely the way forward. Best, Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists > On Behalf Of Stephen Jos? Hanson Sent: Wednesday, June 5, 2024 6:06 AM To: Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Flabbergasted: Thankyou, I endeavor to provide short but useful commentary that could be considered a "work of art". Graci! Now either my memory is failing since 2017(not impossible), or you are smoothing over a time series of claims that are actually like a seesaw. I think if we just rewind some of the connectionist comments; it would be clear, in fact, for example, you had a long series of comments with Geoff that seemed to indicate you were being misreprented as well. Your complaints have always be around the fact that DL-AI has false alarms (and to be fair other problems) And sometimes pretty odd-ones. LLMs human and non-human errors are even more interesting. The fact that they seem to grow circuits in the attention-heads is gobsmacking! I thought then and think now you are complaining about peas under a very thick mattress (oh-oh, metaphors now- I may have opened pandora's box.) But I will go look at the budding NeuroSymbolic paper you mentioned, but I have my doubts that the statistical bias is equivalent with the architectually simplistic LLMs. Nonetheless, I have not read it. I will also make a coarse timeline of your comments since 2017, but anyone out there that would like to help, greatly appreciated! Best, Stephen On 6/5/24 8:41 AM, Gary Marcus wrote: Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at msu.edu Fri Jun 7 05:21:50 2024 From: weng at msu.edu (Weng, Juyang) Date: Fri, 7 Jun 2024 09:21:50 +0000 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: References: <99CDBCFF-C350-470C-A0F1-CF9BBE49BC90@nyu.edu> <958ec394-80a3-4399-a2ca-a312a1a78349@rubic.rutgers.edu> Message-ID: Dear Asim, You wrote, "Yes, aware of multiple cells firing, but there?s also a dominant one." This statement supports my point: neuronal firings are a result of competition, not the meaning of a stimulus in Asim's head. For brain modeling, we must not assume "God arranged everything in the brain" like "God arranged every neuron's symbolic meanings". Every brain model must start with what we know about what biological cells can do, which needs a lot of biological knowledge. Have you taken at least a college-level biology course? If you had, you would not write "NATURALLY". Best regards, -John Weng ________________________________ From: Asim Roy Sent: Friday, June 7, 2024 5:06 AM To: Weng, Juyang ; Stephen Jos? Hanson ; Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, Yes, aware of multiple cells firing, but there?s also a dominant one. Take a look at Reddy and Thorpe (2014): ?concept cells have ?meaning of a given stimulus in a manner that is invariant to different representations of that stimulus.? You are going from ?mathematically meaningful? to ?symbolic meanings.? I am confused. These terms need definition. And you started with ?government? creating symbols. Since we are the only ones arguing, let?s take this offline. Best, Asim From: Weng, Juyang Sent: Friday, June 7, 2024 1:49 AM To: Asim Roy ; Stephen Jos? Hanson ; Gary Marcus Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "It is a one-to-one correspondence. That?s what the findings are ? from place cells to line orientation cells to concept cells. There is no claim that every neuron in the brain are of that type." The following paper, like other experimental neuroscience papers we may find, did not show one-to-one correspondence. They only showed that if I show this pattern on the screen, multiple neurons in a relatively small V1 area will fire. Mutilple cells respond to the same visual stimulus! T. N. Wiesel and D. H. Hubel, "Ordered arrangement of orientation columns in monkeys lacking visual experience", Journal of Comparative Neurology, vol.158, pp. 307-318, 1974. (Nobel Prize work?) Furthermore, such experiments do not represent any symbolic meanings, only some result of neuronal competition. No neurons in the brain have a one-to-one correspondence to a symbolic meaning (e.g., "60-degree line orientation" or "Asim"). If we do not have a closed-skull model about the emergence of a brain, we do not say "naturally" like "God arranged everything in the world". Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Friday, June 7, 2024 4:18 AM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, It is a one-to-one correspondence. That?s what the findings are ? from place cells to line orientation cells to concept cells. There is no claim that every neuron in the brain are of that type. Best, Asim From: Weng, Juyang > Sent: Friday, June 7, 2024 1:06 AM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, That single cell firing in a cat?s brain having ?meaning? is not due to ?Asim? or ?a Government.? These cells with ?meaning? develop NATURALLY. Your statement "single cell firing having meaning" is not mathematically meaningful. The brain is a vector of $10^{14}$ dimension. Each neuron corresponds to a dimension. Each neuron does not have a one-to-one correspondence with a symbol (like "Asim". Review the definition of one-to-one correspondence. If you do not mean one-to-one correspondence, your statement is not mathematically meaningful. Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Thursday, June 6, 2024 11:21 PM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, There is no ?Asim? or ?Government? in any brain, human or otherwise. That single cell firing in a cat?s brain having ?meaning? is not due to ?Asim? or ?a Government.? These cells with ?meaning? develop NATURALLY. And that?s what you are missing in your Development Network theory. You have not been able to capture in your systems that side of development. Perhaps time to go back to the drawing board. Symbols follow directly from ?single cells having meaning.? All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang > Sent: Thursday, June 6, 2024 8:09 PM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "Let?s do one issue at a time. Let?s try symbols first." This approach misleads you to the wrong track. Case 1: neuron level symbols (your position). Case 2: area level symbols. Case 3: task level symbols. They are all dead ends because Asim is the government of the "brain" model. For all those Asim knows, it is too expensive to create all symbols for the "brain" model. For all those Asim does not know, the model does not know either. Deadends! If you continue this "one issue at a time route," you waste too much time in your life. This is because the first issue is wrong to consider. Best regards, -John Weng ________________________________ From: Asim Roy > Sent: Thursday, June 6, 2024 10:06 PM To: Weng, Juyang >; Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: RE: Connectionists: short Op-ed to address AI problems Dear John, Let?s do one issue at a time. Let?s try symbols first. There is plenty of evidence in neurophysiology that one can associate ?meaning? to the activation of certain individual cells. As far as I know, all of the brain-related Nobel prizes were about finding ?meaning? in the activations of certain single neurons. Here I quote from Wikipedia (Single-unit recording - Wikipedia): * 1928: One of the earliest accounts of being able to record from the nervous system was by Edgar Adrian in his 1928 publication "The Basis of Sensation". In this, he describes his recordings of electrical discharges in single nerve fibers using a Lippmann electrometer. He won the Nobel Prize in 1932 for his work revealing the function of neurons.[11] * 1957: John Eccles used intracellular single-unit recording to study synaptic mechanisms in motoneurons (for which he won the Nobel Prize in 1963). * 1959: Studies by David H. Hubel and Torsten Wiesel. They used single neuron recordings to map the visual cortex in unanesthesized, unrestrained cats using tungsten electrodes. This work won them the Nobel Prize in 1981 for information processing in the visual system. * And the work of Mosers and O?Keefe on grid and place cells that won them the Nobel: The 2014 Nobel Prize in Physiology or Medicine - Press release. Here?s a quote about the work on place cells: ?Most neuroscientists once doubted that brain activity could be linked with behaviour, but in the late 1960s, O?Keefe began to record signals from individual neurons in the brains of rats moving freely in a box. He put electrodes in the hippocampus and was surprised to find that individual cells fired when the rats moved to particular spots.? Nobel prize for decoding brain?s sense of place | Nature And then the findings about concept cells (Jennifer Aniston cells), which are single cell recordings. Here?s from Reddy and Thorpe (2014): ?concept cells have ?meaning of a given stimulus in a manner that is invariant to different representations of that stimulus.? We all try to generalize from data, right. If you examine these findings, the most important feature is that they all found ?meaning? in single cell activations. So the most fundamental question for you is: Do you accept these findings and the general conclusion that single cell activations can have meaning? Again, beware that, beyond winning Nobel prizes, much work in neuroscience and other fields follows from these findings. All the best, Asim Roy Professor, Information Systems Arizona State University Lifeboat Foundation Bios: Professor Asim Roy Asim Roy | iSearch (asu.edu) From: Weng, Juyang > Sent: Thursday, June 6, 2024 1:09 AM To: Asim Roy >; Stephen Jos? Hanson >; Gary Marcus >; Weng, Juyang > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Asim, You wrote, "We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side." Not only DL is misconduct, but symbols are another devil. In my IJCNN 2022 paper, http://www.cse.msu.edu/~weng/research/20M-IJCNN2022rvsd-cite.pdf I proved "symbol-free" as one of the 20 million-dollar problems for us to understand human brains. The definition of symbols requires a government, but government-free is one of the 20 million-dollar problems for us to understand human brains. Let us consider three cases: Case 1: If a human designs symbols within a network (e.g., LSTM) and assigns the symbols to some individual neurons (e.g., task-specific gates) of the network, this human is a government within the network since he is task-aware. Case 2: If a human designs symbols within a network and assigns roles to blocks in a functional block diagram, e.g., [Starzyk10], this human is a government within the network. Case 3: In the symbolic AI school, a human programmer designs symbolic representations for a task that is assigned to a computer program or network. This human is a government within the symbolic AI system since he is task-aware. All the 3 cases do not solve the government-free problem. I have attached an image that further explains the symbol problem in the same paper. Let me know if you still do not agree that the brain must be free from symbols after you read the entire paper. By the way, I am surprised that as a mathematician, you still do not understand the Post-Selection misconduct in DL that I raised to you earlier. Please use your own words to explain Post-Selection and why you can handle explanation using Post-Selection misconduct. Best regards, -John Weng ________________________________ From: Connectionists > on behalf of Asim Roy > Sent: Wednesday, June 5, 2024 6:49 PM To: Stephen Jos? Hanson >; Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: short Op-ed to address AI problems Dear Stephen, We are doing neurosymbolic with image processing ? the symbolic stuff on top of a DL model. It also brings in the explanation side. The results are astounding. We get better performance than a pure DL model. And exploring applications with defense agencies. They are impressed with the results we have so far. So, neurosymbolic is definitely the way forward. Best, Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists > On Behalf Of Stephen Jos? Hanson Sent: Wednesday, June 5, 2024 6:06 AM To: Gary Marcus > Cc: connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: short Op-ed to address AI problems Dear Flabbergasted: Thankyou, I endeavor to provide short but useful commentary that could be considered a "work of art". Graci! Now either my memory is failing since 2017(not impossible), or you are smoothing over a time series of claims that are actually like a seesaw. I think if we just rewind some of the connectionist comments; it would be clear, in fact, for example, you had a long series of comments with Geoff that seemed to indicate you were being misreprented as well. Your complaints have always be around the fact that DL-AI has false alarms (and to be fair other problems) And sometimes pretty odd-ones. LLMs human and non-human errors are even more interesting. The fact that they seem to grow circuits in the attention-heads is gobsmacking! I thought then and think now you are complaining about peas under a very thick mattress (oh-oh, metaphors now- I may have opened pandora's box.) But I will go look at the budding NeuroSymbolic paper you mentioned, but I have my doubts that the statistical bias is equivalent with the architectually simplistic LLMs. Nonetheless, I have not read it. I will also make a coarse timeline of your comments since 2017, but anyone out there that would like to help, greatly appreciated! Best, Stephen On 6/5/24 8:41 AM, Gary Marcus wrote: Wow, Stephen, you have outdone yourself. This note is a startling mixture of rude, condescending, inaccurate, and uninformed. A work of art! To correct four misunderstandings: 1. Yes, my essay was written before LLMs were popular (though around the time Transformers were proposed as it happens). It was however precisely ? a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge.? Please read what I wrote. It?s one page, linked below, and you obviously couldn?t be bothered,. (Parenthetically, I was one of the first people to warn that OpenAI was likely to be problematic, and have done so repeatedly at my Substack.) 2. My argument throughout (back to 2012, in the New Yorker, 2018 in my Deep Learning: A Critical Appraisal, etc) has been that deep learning has some role but cannot solve all things, and that it would be not reliable on its own. In 2019 onwards I emphasized many of the social problems that arise from relying on such unreliable architectures. I have never wavered from any of that. (Again, please read my work before so grossly distorting it.) Unreliable systems that are blind to truth and values can cause harm (bias), be exploited (to create disinformation), etc. There is absolutely no contradiction there, as I have explained numerous times in my writings. 3. It?s truly rude to dismiss an entire field as ?flotsam and jetsam?, and you obviously aren?t following the neurosymbolic literature, e.g., you must have missed DeepMind?s neurosymbolic AlphaGeometry paper, in Nature, with its state of the art results, beating pure neural nets. 4. Again, nothing has changed about my view; your last remark is gratuitous and based on a misunderstanding. Truly flabbergasted, Gary On Jun 5, 2024, at 05:18, Stephen Jos? Hanson wrote: ? Gary, this was before the LLM discovery. Pierre is proposing a moonshot idea, that doesn't involve leaving the blackbox in the hands of corporate types who value profits over knowledge. OPENAI seems to be flailing and having serious safety and security issues. It certainly could be recipe for diaster. Frankly your views have been all over the place. DL doesn't work, DL could work but should be merged with the useless flotsam and jetsam from GOFAI over the last 50 years, and now they are too dangerous because they work but they are unreliable, like most humans. Its hard to know what views of yours to take seriously as they seem change so rapidly. Cheers Stephen On 6/4/24 9:53 AM, Gary Marcus wrote: I would just point out that I first made this suggestion [CERN for AI] in the New York Times in 2017, and several others have since. There is some effort ongoing to try to make it happen, if you search you will see. <30gray-facebookJumbo.jpg> Opinion | Artificial Intelligence Is Stuck. Here?s How to Move It Forward. (Gift Article) nytimes.com On Jun 3, 2024, at 22:58, Baldi,Pierre wrote: ? I would appreciate feedback from this group,especially dissenting feedback, on the attached Op-ed. You can send it to my personal email which you can find on my university web site if you prefer. The basic idea is simple: IF for scientific, security, or other societal reasons we want academics to develop and study the most advanced forms of AI, I can see only one solution: create a national or international effort around the largest data/computing center on Earth with a CERN-like structure comprising permanent staff, and 1000s of affiliated academic laboratories. There are many obstacles, but none is completely insurmountable if we wanted to. Thank you. Pierre -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From mariya.k.toneva at gmail.com Fri Jun 7 07:30:46 2024 From: mariya.k.toneva at gmail.com (Mariya Toneva) Date: Fri, 7 Jun 2024 13:30:46 +0200 Subject: Connectionists: [Jobs] Open Postdoc + PhD positions on Neuroexplicit Models Message-ID: The Research Training Group 2853 ?Neuroexplicit Models of Language, Vision, and Action? is looking for 3 PhD students - September 2024 1 Postdoc - September 2024 or later Neuroexplicit models combine neural and human-interpretable (?explicit?) models in order to overcome the limitations that each model class has separately. They include neurosymbolic models, which combine neural and symbolic models, but also e.g. combinations of neural and physics-based models. In the RTG, we will improve the state of the art in natural language processing (?Language?), computer vision (?Vision?), and planning and reinforcement learning (?Action?). We will also develop novel machine learning techniques for neuroexplicit models (?Foundations?). Our overarching aim is to contribute to a better understanding of the cross-cutting design principles of effective neuroexplicit models through interdisciplinary collaboration. The RTG is scheduled to grow to a total of 24 PhD students and one postdoc by 2025; the first six PhD students started in late 2023, and three more have accepted our offer to join us in September 2024. Through the inclusion of ~20 further PhD students and postdocs funded from other sources, it will be one of the largest research centers on neuroexplicit or neurosymbolic models in the world. The RTG brings together researchers at Saarland University, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA Helmholtz Center for Information Security, and the German Research Center for Artificial Intelligence (DFKI). All of these institutions are colocated on the same campus in Saarbr?cken, Germany. The positions are funded as follows: - PhD students will be funded for up to four years at the TV-L E13 100% pay scale. You should have or be about to complete an MSc degree in computer science or a related field and have demonstrated expertise in one of the research areas of the RTG, e.g. through an excellent Master?s thesis or relevant publications. - The postdoc will initially be funded for three years, with the possibility of extension, at the TV-L E13 100% pay scale. As the RTG postdoc, you will pursue your own research agenda in the field of neuroexplicit models and work with the PhD students to identify and pursue opportunities for collaborative research. You should have or be about to complete a PhD in computer science or a related field and have demonstrated your expertise in one or more of the RTG?s research areas through publications in top venues. The RTG is part of the Saarland Informatics Campus, one of the leading centers for research in computer science, artificial intelligence, and natural language processing in Europe. The Saarland Informatics Campus brings together 900 researchers and 2500 students from 81 countries. The CISPA Helmholtz Center, located on the same campus, is home to an additional 350 researchers and on track to grow to 800 by 2026. Researchers at SIC and CISPA are part of the ELLIS network and have been awarded more than 35 ERC grants. Each PhD student in the RTG will be jointly supervised by two PhD advisors from the list of Principal Investigators below. Each student will freely define their own research topic; we encourage the choice of topics that cross the traditional boundaries of research fields. Students may be affiliated with Saarland University or with one of the participating institutes. Vera Demberg, Saarland University - Computational Linguistics J?rg Hoffmann, Saarland University - AI Planning Dietrich Klakow, Saarland University - Natural Language Processing Alexander Koller, Saarland University - Computational Linguistics Bernt Schiele, MPI for Informatics - Computer Vision, Machine Learning Philipp Slusallek, DFKI and Saarland University - Computer Graphics, Artificial Intelligence Christian Theobalt, MPI for Informatics - Visual Computing, Machine Learning Mariya Toneva, MPI for Software Systems - Computational Neuroscience, Machine Learning Isabel Valera, Saarland University - Machine Learning Jilles Vreeken, CISPA - Machine Learning, Causality Joachim Weickert, Saarland University - Mathematical Data Analysis Verena Wolf, DFKI and Saarland University - Modeling and Simulation, Reinforcement Learning Ellie Pavlick, Brown University and Google AI, will join us regularly as a Mercator Fellow. Please send your application by 21 June 2024 to apply at neuroexplicit.org. Include the reference number W2488 for the postdoc position and the reference number W2487 for the PhD positions. We aim to conduct job interviews in July. For more details on the position, including what materials to submit with your application, please see our website: https://www.neuroexplicit.org/jobs/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Fri Jun 7 09:59:01 2024 From: terry at salk.edu (Terry Sejnowski) Date: Fri, 07 Jun 2024 06:59:01 -0700 Subject: Connectionists: NEURAL COMPUTATION June 1, 2024 In-Reply-To: Message-ID: NEURAL COMPUTATION - Volume 36, Number 6 - June 1, 2024 Now available for online download: https://urldefense.com/v3/__http://www.mitpressjournals.org/toc/neco/36/6__;!!GX6Nv3_Pjr8b-17qtCok029Ok438DqXQ!2O3bsvBXBknuVdwM5_CYZ9p3Py4O0j0GlZTmJMywiu2BcJFdj7qF-HPpCVOY0k2tG701iQE-GM_u$ https://urldefense.com/v3/__http://cognet.mit.edu/content/neural-computation__;!!GX6Nv3_Pjr8b-17qtCok029Ok438DqXQ!2O3bsvBXBknuVdwM5_CYZ9p3Py4O0j0GlZTmJMywiu2BcJFdj7qF-HPpCVOY0k2tG701iTWWoq1A$ ----- Neural Computation - Contents -- Volume 36, Number 6 - June 1, 2024 Articles How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field: A Computational Study Authors: Evgenia Kartsaki, Gerrit Hilgen, Evelyne Sernagor, Bruno Cessac Linear Codes for Hyperdimensional Computing Authors: Netanel Raviv The Determining Role of Covariances in Large Networks of Stochastic Neurons Authors: Vincent Painchaud, Patrick Desrosiers, Nicolas Doyon Positive Competitive Networks for Sparse Reconstruction Authors: Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo Letters Gauge-optimal Approximate Learning for Small Data Classification Problems Authors: Edoardo Vecchi, Davide Bassetti, Fabio Graziato, Luk?? Posp??il, Illia Horenko Dense Sample Deep Learning Authors: Stephen Jos? Hanson, Vivek Yadav, Catherine Hanson ----- From helena at incf.org Fri Jun 7 12:02:05 2024 From: helena at incf.org (Helena Ledmyr) Date: Fri, 7 Jun 2024 18:02:05 +0200 Subject: Connectionists: Last call: abstract submission for Neuroinformatics 2024: Brain meets AI Message-ID: *apologies for cross posting* Join the INCF community at the Neuroinformatics Assembly 2024 in Austin, Texas, Sept 23-27! This year's theme is "*Brain meets AI: pioneering the future of neuroinformatics*". We have two days of training courses after the main conference, see all the sessions at https://neuroinformatics.incf.org/2024/sessions. See the conference topics and submit your abstract today at bit.ly/INCFabstracts Keynote speakers: Elisabeth Bik, Microbiome Digest Viktor Jirsa, INS Danilo BzDok, MILA Timo Dickscheid, Julich Research Hanchuan Peng, SEU-ALLEN We hope to see you in Austin! / the INCF team ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels v?g 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr at incf.org Phone: +46 8 524 870 35 incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From benjamin.lindner at physik.hu-berlin.de Fri Jun 7 12:27:01 2024 From: benjamin.lindner at physik.hu-berlin.de (Benjamin Lindner) Date: Fri, 7 Jun 2024 18:27:01 +0200 Subject: Connectionists: PhD position at Bernstein Center Berlin & Humboldt University (Physics Dep.) available Message-ID: <7a79dee1-0f86-4845-bbd4-521e43c75995@physik.hu-berlin.de> Efficient representations of fast dynamic stimuli in populations of ON- and OFF-cells Within the DFG priority program "Evolutionary Optimisation of Neuronal Processing" and in an experiment-theory collaboration with the Benda/Grewe lab in T?bingen, we are looking for a PhD candidate to work on signal transmission of time-dependent signals in the electrosensory system of weakly electric fish. Specifically, we are interested in the following research questions: 1. How are high-frequency signals efficiently encoded in ON-OFF-pathways despite strongly reduced firing rates? 2. What is the impact of feedback on the representation of high-frequency information in ON- OFF-pathways? In order to get an idea about similar approaches pursued in the past, have a look at some of the joint publications of the Benda lab and the Lindner group: Fisch et al.? J. Neurosci. 32, 17332 (2012) Sharafi et al.? J. Comp. Neurosci.? 34 , 285 (2013) Grewe et al.? PNAS 114 E1977 (2017) The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills, team spirit, and, last but not least, great enthusiasm for interdisciplinary projects. Funding is provided for three years, starting in the fall 2024. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula. Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to me benjamin.lindner at physik.hu-berlin.de (cc to officebl at bccn-berlin.de) The deadline for applications is July 17, 2024, however, later applications might also be considered. Kind regards, Benjamin Lindner -------------------------------------------------------------------------------------------------------------------- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics Bernstein Center for Computational Neuroscience Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 6336 Department of Physics Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.408, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html -------------------------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Fri Jun 7 10:05:19 2024 From: info at icas.cc (ICAS Organizing Committee) Date: Fri, 7 Jun 2024 16:05:19 +0200 Subject: Connectionists: Call for Participation - ACAIN 2024 - 4th Int. Advanced Course on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Deadline: June 23 Message-ID: Call for Participation (apologies for multiple copies) ________________________________________________________________________ The 4th International Advanced Course on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain at icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Course Deadline Regular Registration (Course): by June 23 https://acain2024.icas.events/registration/ SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. LECTURERS https://acain2024.icas.events/course-lecturers/ * Maria Eckstein, Google DeepMind, London, UK * Auke Jan Ijspeert, EPFL, Switzerland * Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK * Loic Matthey, Google DeepMind, London, UK * Kevin J. Miller, DeepMind & UCL, London, UK * Thomas Parr, Oxford University, UK * Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland * Alessandro Treves, International School for Advanced Studies, Italy More Lecturers TBA COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Localit? Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events at rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain at icas.cc W: https://acain2024.icas.events -------------- next part -------------- An HTML attachment was scrubbed... URL: From stevensequeira92 at hotmail.com Fri Jun 7 08:23:29 2024 From: stevensequeira92 at hotmail.com (steven gouveia) Date: Fri, 7 Jun 2024 12:23:29 +0000 Subject: Connectionists: =?utf-8?q?Call_for_Abstract=3A_3rd_International_?= =?utf-8?q?Conference_on_the_Ethics_of_Artificial_Intelligence_=283ICEAI?= =?utf-8?q?=29_University_of_Azores=2C_Ponta_Delgada=2C_S=C3=A3o_Miguel_Is?= =?utf-8?q?land=2C_Azores_=7C_19-25_September_2024?= In-Reply-To: References: Message-ID: [Call for Abstracts] 3rd International Conference on the Ethics of Artificial Intelligence (3ICEAI) University of Azores, Ponta Delgada, S?o Miguel Island, Azores 19-25 September 2024 (19-20 Online, 23-25 in-person) ?About: The 3rd International Conference on the Ethics of Artificial Intelligence (3ICEAI) focuses on the intricate moral and societal questions posed by AI technologies. This conference aims to dissect the ethical challenges inherent in AI, such as decision-making processes, biases, privacy concerns, and the broader implications for human rights and social justice. As AI continues to permeate various facets of our daily lives, it becomes imperative to address these ethical dimensions thoughtfully and proactively. Ethical AI development necessitates ensuring fairness, transparency, and accountability within algorithms and systems. Our goal is to bring together a diverse group of experts, researchers, practitioners, and policymakers to foster an in-depth and informed exploration of these ethical issues with the aim of promoting responsible and fair AI practices. The third edition of this conference will be organized into two distinct segments. The first segment, scheduled for September 19-20, 2024, will be conducted exclusively online, featuring virtual presentations. The second segment, taking place from September 23-25, 2024, will consist solely of in-person sessions. ETHICS OF AI AWARD 2024 (in-person talks only): The best-submitted abstract will receive the opportunity to deliver a special Award Talk similar to a keynote talk (note: the selected author will have the fee waived). Previous winner (2023): Dr. Cristina Voinea (The Oxford Uehiro Centre for Practical Ethics, Uni. Oxford). The community is invited to submit proposals in different research fields until August 1st, 2024. KEYNOTES SPEAKERS: * Pekka M?kel? is an is a Research Coordinator in the Helsinki Institute for Social Sciences and Humanities (HSSH) at the University of Helsinki and the co-leader of the RADAR Group. * Ariane Hanemaayer is an Associate Professor at Brandon University, Canada, in the departments of Sociology and Gender and Women's Studies, and Affiliate Scholar at the Max Planck Institute for the History of Science. * Raul Hakli is a university researcher in practical philosophy and co-leader of the RADAR group. * Eleanor Drage is a Senior Research Fellow at the University of Cambridge Leverhulme Centre for the Future of Intelligence. * Hasse H?m?l?inen is AI Scientist at Mehil?inen, holding a PhD in Philosophy in Philosophy from the University of Edinburgh. * Veridiana Cordeiro is a sociologist, a Professor at the Department of Sociology at the University of S?o Paulo, and a research fellow at the Center for Artificial Intelligence (IBM-Sao Paulo Research Foundation). Topics might include (but are not limited to): 1. Algorithmic Fairness and Bias * Addressing and mitigating biases in AI systems * Fairness in machine learning models * Ethical implications of biased algorithms 2. Privacy and Data Protection * Ethical issues in data collection and usage * AI and user privacy rights * Protecting personal data in AI applications 3. Transparency and Explainability * Enhancing transparency in AI decision-making * Explainable AI and its ethical importance * Challenges and solutions in making AI systems interpretable 4. Accountability and Responsibility * Legal and ethical accountability in AI development * Responsibility in autonomous systems * Defining and enforcing ethical standards for AI developers 5. Human Rights and Social Justice * AI?s impact on human rights * Promoting social justice through ethical AI * Addressing inequalities exacerbated by AI technologies 6. AI in Healthcare * Ethical considerations in medical AI applications * Patient privacy and data security in AI-driven healthcare * Balancing AI efficiency with human empathy in medical contexts 7. AI in Autonomous Systems * Ethical issues in autonomous vehicles and drones * AI in military applications and ethical implications * The future of work and the role of AI in autonomous systems 8. Ethical Frameworks and Guidelines * Developing ethical frameworks for AI * International guidelines and standards for ethical AI * Comparative analysis of ethical AI guidelines across countries 9. AI and Decision-Making * Ethical considerations in AI-driven decision-making * The role of AI in judicial and legal systems * Balancing AI efficiency with human oversight 10. Ethics of AI in Public Policy * AI?s role in shaping public policy * Ethical governance of AI technologies * Policymaking for responsible AI development 11. AI and Environmental Ethics * AI?s impact on the environment * Sustainable AI development * Ethical considerations in AI-driven environmental solutions 12. Ethical Education and Awareness * Educating stakeholders on AI ethics * Public awareness and understanding of AI ethics * Integrating AI ethics into academic curricula 13. AI in the Workplace * Ethical implications of AI in labor markets * AI and the future of work * Addressing ethical challenges in AI-driven automation 14. Global Perspectives on AI Ethics * Cross-cultural ethical considerations in AI * AI ethics in developing countries * Collaborative global approaches to ethical AI 15. Emerging Ethical Issues in AI * Future trends and ethical challenges in AI * Addressing unforeseen ethical dilemmas in AI * Proactive strategies for emerging AI technologies FEES: * Professionals (posdoc, professor, tenure-track): ? 160,00 * Students: (Master, PhD): ? 110,00 Languages of the colloquium: English and Portuguese. SUBMISSIONS: * IMPORTANT: you should clearly state if you are submitting for the online segment (OS) (19-20 September) or the in-person segment (PS) (23-25 September). If (OS), you need to provide a preferred time schedule considering the Azores Time Zone (UTC - 1 hour). In-person submissions have a higher chance of being accepted (more slots available); * Proposals should include two files: (in word. format): (1) a cover page with identification, academic affiliation, and title (2) an anonymized title and abstract (maximum 250 words) and sent to interconfethicsofai at gmail.com * Paper duration: 30 minutes (20 minutes presentation + 10 minutes for discussion); * Information: in order to facilitate the request for funding of the accepted talks so speakers can prepare their travel in advance, notification of acceptance or rejection will be given in a 7-10 days period after the submission is submitted (and reviewed); * Papers presented at the colloquium are expected to be published in a collective, peer-reviewed volume or special issue journal (this is optional - more information after the end of the conference); * Any doubts or concerns can be addressed to: interconfethicsofai at gmail.com Venue: University of Azores | Address: Rua da M?e de Deus, 9500-321 Ponta Delgada, S?o Miguel, A?ores. ??Organization: Mind, Language and Action Group | Institute of Philosophy | University of Porto Center for Humanistic Studies | University of the Azores ? ?Organizing Committee Steven S. Gouveia (Chair) Rui Sampaio da Silva (Local Organizer) Sofia Miguens Jaroslav Mal?k Romeu Ivolela Liberty Severs ? Support: CEEC Project by FCT ?2022.02527.CEECIND TL Modern & Contemporary Philosophy RG Mind, Language and Action Group (MLAG) Instituto de Filosofia da Universidade do Porto ? UIDB/00502/2020 Funda??o para a Ci?ncia e a Tecnologia (FCT) Reitoria da Universidade do Porto + Center for Humanistic Studies University of the Azores -------------- next part -------------- An HTML attachment was scrubbed... URL: From minaiaa at gmail.com Fri Jun 7 14:41:40 2024 From: minaiaa at gmail.com (Ali Minai) Date: Fri, 7 Jun 2024 14:41:40 -0400 Subject: Connectionists: short Op-ed to address AI problems In-Reply-To: <26716321-10c0-4024-9813-1400427c5b08@ics.uci.edu> References: <26716321-10c0-4024-9813-1400427c5b08@ics.uci.edu> Message-ID: Pierre The issues you point to are extremely important and the idea you propose is really thoughtful. I think AI research would benefit greatly from this sort of moonshot project. We have seen this not only with the space program and the space telescopes, but also in the area of genetics. However, I would also like to make a point complementary to yours. The AI we see developing rapidly on the back of gigantic computers and immense amounts of data is only one possible direction for AI. Yes, it is hard to think of alternatives right now or to imagine that the juggernaut we see may run out of energy at some point, but I think that is a mistake. The rather "mindless" AI we're seeing is going to become extremely powerful, useful, and dangerous, but it will also continue to have huge gaps and deficiencies, which can only be filled using very different approaches. My own bias is to do so by looking more rigorously at brains, development, and evolution, but there may be other ways. That's where academic research will - and must - continue to matter, and one of our goals must be to ensure that the agencies that fund academic research - NSF, NIH, DARPA, etc. - continue to support such exploration in academia, and not shift all their resources towards the dominant paradigm. Much of the hype about the imminence of AGI is based on defining general intelligence in very specific ways. Challenging this narrow view and developing alternatives is something that can only be done by open-minded researchers in acedemia and other organizations outside the gravitational well of mega-corporations. Ali *Ali A. Minai, Ph.D.* Professor and Graduate Program Director Complex Adaptive Systems Lab Department of Electrical & Computer Engineering 828 Rhodes Hall University of Cincinnati Cincinnati, OH 45221-0030 Phone: (513) 556-4783 Fax: (513) 556-7326 Email: Ali.Minai at uc.edu minaiaa at gmail.com WWW: https://researchdirectory.uc.edu/p/minaiaa On Tue, Jun 4, 2024 at 2:08?AM Baldi,Pierre wrote: > > I would appreciate feedback from this group,especially dissenting > feedback, on the attached Op-ed. You can send it to my personal email > which you can find on my university web site if you prefer. The basic > idea is simple: > > IF for scientific, security, or other societal reasons we want academics > to develop and study the most advanced forms of AI, I can see only one > solution: create a national or international effort around the largest > data/computing center on Earth with a CERN-like structure comprising > permanent staff, and 1000s of affiliated academic laboratories. There > are many obstacles, but none is completely insurmountable if we wanted to. > > Thank you. > > Pierre > > > > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From riccardo.guidotti at unipi.it Sat Jun 8 06:12:46 2024 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Sat, 8 Jun 2024 10:12:46 +0000 Subject: Connectionists: DS2024 Deadline Extension Message-ID: <5EFFD207-0A68-4974-B851-BD325FB77138@unipi.it> *** Apologies for cross-posting *** *** Extension for the very high demand *** 27th International Conference on Discovery Science (DS2024) October 14-16, 2024, Pisa, Italy http://ds2024.isti.cnr.it/index.html ***CALL FOR PAPER: MAIN RESEARCH TRACK*** Discovery Science 2024 conference provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The conference focus is on the use of Artificial Intelligence, Data Science and Big Data Analytics methods in science. Its scope includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, and big data analytics, as well as their application in various domains. Possible topics include, but are not limited to: - Artificial Intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science - Machine Learning: supervised learning (including ranking, multi-target prediction and structured prediction), unsupervised learning, semi-supervised learning, active learning, reinforcement learning, online learning, transfer learning, etc. - Knowledge Discovery and Data Mining - Anomaly and Outlier Detection - Time-Series Analysis - Spatial, Temporal and Spatiotemporal Data Analysis - Unstructured Data Analysis (textual and web data) - Data and Knowledge Visualization - Complex Network Analysis - Causal Modelling - Explainable AI and Interpretable Machine Learning - Human-Machine Interaction for Knowledge Discovery and Management - Data Streams, Evolving Data, Change Detection & Concept drift - AutoML, Meta-Learning, Planning to Learn - AI and High-performance Computing, Grid and Cloud Computing - AI and Cybersecurity - Computational Creativity - Learning from Complex Data - Process Discovery and Analysis - Evaluation of Models and Predictions in Discovery Setting - Applications of the above techniques in scientific domains, such as Physical sciences (e.g., materials sciences, particle physics), Life sciences (e.g., systems biology/systems medicine), Environmental sciences, Natural and social sciences ***INVITED SPEAKERS*** * Roberto Navigli, Sapienza University of Rome and Babelscape ? October 14th * Carlos Castillo, ICREA and Universitat Pompeu Fabra ? October 15th * Francesca Toni, Imperial College London ? October 16th ***IMPORTANT DATES*** Abstract submission (deadline): Monday, June 17, 2024 (was Monday June 3, 2024) Full paper submission (deadline): Monday, June 24, 2024 (was Monday, June 10, 2024) Notification of acceptance: Monday, August 12, 2024 (was Monday, July 22, 2024) Camera-ready version, author registration: Monday August 26, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION PROCEDURE*** Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 15 pages in the LNCS format. Submission of the camera-ready version of the paper has to include the authors? consent to publish on the above Springer LNCS website. Submissions will be reviewed following a single-blind procedure. Therefore, authors should include their names and affiliations in the paper. Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of DS? 2024. Submission System: https://cmt3.research.microsoft.com/DS2024/ Click on ?create a new submission? and select the DS2024 track. At least one of the authors must be a registered participant at the conference to present the work. ***SPECIAL ISSUE*** The authors of a number of selected papers presented at DS 2024 will be invited to submit extended versions of their papers for possible inclusion in a special issue of Machine Learning journal (published by Springer) on Discovery Science. Fast-track processing will be used to have them reviewed and published. ***BEST PAPER AWARD*** There will be a Best Student Paper Award in the value of 550 Eur sponsored by Springer, and a Best Paper Award in the value of 550 Eur sponsored by Fondazione Area. ***CALL FOR PAPER: SPECIAL TRACK SOBIGDATA*** SoBigData RI (www.sobigdata.eu) is a distributed, Pan-European, multi-disciplinary research infrastructure aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society. This year, Discovery Science and SoBigData RI, collaborate in order to have a special track. The topics are the same of the main track but focussed on experiments for the SoBigData research spaces: - Demography, Economy and Finance 2.0: traditional complex socio-economic financial systems in conjunction with emerging ones, in particular, block-chain & cryptocurrency markets and their applications such as smart property, Internet of things, energy trading, and smart contracts. - Disaster Response and Recovery: methods and tools to analyze, monitor, and improve post-disaster reconstruction processes in socio-economic areas, spatial planning, environmental health in cooperation with national and international institutions. - Health Studies: experiments addressing health-related issues, including medical, nutrition, environmental health and network medicine. It entails integrating multidisciplinary scientific research including machine learning techniques and AI technologies. - Pervasive Intelligence in Cyber-Physical Systems for Future Society: experiments on AI models for a dynamic and automatic allocation of resources capable of reacting to changes in services, application requirements, sustainability, and user-generated traffic. Specific attention will also be given to approaches based on the emulation of biological brain mechanisms, called Cyber-Physical systems, with the aim of creating a ?conscious system? able to self-control a large number of subsystems. - Societal Debates and Misinformation: experiments analyzing both discussions on social media and journalistic production to understand which are the most debated topics. - Next-Generation Internet: experiments investigating the effect of Next Generation Internet paradigms by developing user- and device-centric services for groups of mobile users based on direct communication between faredge devices, validating them in the same application areas. - Sustainable Cities for Citizens: experiments about the usage of mobile devices data, georeferenced social media data, or other spatio-temporal data to model human behavior and activities. - Submitted paper must refer to a specific research space. Submitted papers must contain all the references to data and methods used in order to be accessible to the SoBigData community and to be published on the platform catalog (only in case of acceptance). Accepted papers will be published in DS2024 proceedings and disseminated through the research infrastructure channels. ***IMPORTANT DATES*** Abstract submission (deadline): Monday, June 17, 2024 (was Monday June 3, 2024) Full paper submission (deadline): Monday, June 24, 2024 (was Monday, June 10, 2024) Notification of acceptance: Monday, August 12, 2024 (was Monday, July 22, 2024) Camera-ready version, author registration: Monday August 26, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION PROCEDURE*** Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 15 pages in the LNCS format. Submission of the camera-ready version of the paper has to include the authors? consent to publish on the above Springer LNCS website. Submissions will be reviewed following a single-blind procedure. Therefore, authors should include their names and affiliations in the paper. Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of DS? 2024. Submission System: https://cmt3.research.microsoft.com/DS2024/ Click on ?create a new submission? and select the SoBigDataTrack. At least one of the authors must be a registered participant at the conference to present the work. ***BEST PAPER AWARD*** There will be a Best SoBigData Paper award in the value of 550 Eur sponsored by SoBigData. ***CALL FOR LATE BREAKING CONTRIBUTIONS *** The Posters Track complements the research track of the conference and offers an opportunity to present late-breaking results and showcase innovative implementations in an informal and interactive setting. During the Poster session authors are encouraged to directly connect with conference participants and engage in discussions about their work. We invite submissions relevant to Discovery Science and which address, but are not limited to, the topics of the Research Track. We also welcome work that has already been seen in other places but needs to be shared with the Discovery Science community. Authors of the research papers not accepted for the Research track can be invited to present their work via a poster in the Poster session to discuss their research and scientific contributions with the community and expand their network with other researchers. ***IMPORTANT DATES*** Submission due: Monday, July 15, 2024 (was Saturday June 22, 2024) Notification of acceptance: Monday, August 19, 2024 (Saturday July 27, 2024) Camera-ready version (extended abstract), author registration: Monday, August 26, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION DETAILS*** Authors should submit an up-to two-page (excluding references) extended abstract for evaluation. All submissions must be written in English, using the PDF file format, following the formatting guidelines of the research track, and submitted electronically via the CMT submission system: https://cmt3.research.microsoft.com/DS2024/ Poster submissions should describe late-breaking research results, on-going research projects, or work-in-progress relevant to Discovery Science. Additional links to relevant resources are encouraged to be included in the submission. The submissions should not be anonymised. Each submission will be reviewed by 2 members of the Program Committee. All accepted posters will be available on the conference website. Authors are encouraged to link in the poster complementary materials (e.g. images, videos, code). Submission System: https://cmt3.research.microsoft.com/DS2024/ Click on ?create a new submission? and select the Paper Posters track. At least one of the authors must be a registered participant at the conference, and attend the Poster Session to present the work. All papers accepted at the poster session will be published as extended abstracts (up to 4 pages in LNCS format) in CEUR proceedings. ***CALL FOR CONTRIBUTIONS: DOCTORAL CONSORTIUM*** The Doctoral Consortium (DC) provides an opportunity to present and discuss their doctoral research ideas and progress in a supportive, formative and yet critical environment and receive feedback from reviewers, mentors and peers from the field of Discovery Science. The DC will also provide opportunities to network and build collaborations with other members of the Discovery Science community. We welcome submissions across research Discovery Science-related domains and which address, but are not limited to, the topics of the Research Track. The event is intended for early as well as middle/late-stage PhD candidates and asks them to formulate and submit a concrete PhD research proposal, preferably supported by some preliminary results. The proposal will be peer-reviewed. If accepted, students must register and physically attend the event to present their PhD research proposal in a Poster session. Details for the submission are found below under ?Submission Details?. ***IMPORTANT DATES*** Submission due: Monday, July 15, 2024 (was Saturday June 22, 2024) Notification of acceptance: Monday, August 19, 2024 (Saturday July 27, 2024) Camera-ready version (extended abstract), author registration: Monday, August 26, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION DETAILS*** Authors should submit an up-to four-page (excluding references) description of their PhD research proposal. All submissions must be written in English, using the PDF file format, following the formatting guidelines of the research track, and submitted electronically via the CMT submission system: https://cmt3.research.microsoft.com/DS2024/ The papers should have a single author (the PhD candidate) and submissions are *not* anonymous. Supervisors, other involved persons, and funding agencies should be acknowledged in an Acknowledgements section. Research proposals (and if accepted, the Posters) should contain the following elements: - Context: The background and motivation for your research, including the related work that frames your research - Research questions/challenges: what are the research questions/challenges that your dissertation addresses? Try to highlight how it differs from existing literature. - Method/approach and evaluation: how is each of the research questions answered? How are results evaluated? If you are planning to conduct studies or build prototypes, provide a brief description. - Preliminary results (if available). Highlight results and contribution to date and the timeplan for projected steps. - Discussion and Future work: What are intermediary conclusions, and what are the planned next steps? All accepted research proposals will be presented in a Poster session. Posters and PDF documents will be available on the conference website. PhD students are encouraged to link in the poster complementary materials (e.g. images, videos, code). Submission System: https://cmt3.research.microsoft.com/DS2024/ Click on ?create a new submission? and select the Doctoral Consortium Poster track. At least one of the authors must be a registered participant at the conference, and attend the Poster Session to present the work. All papers accepted at the poster session will be published as extended abstracts (up to 4 pages in LNCS format) in CEUR proceedings. ***COMMITTEES AND CHAIRS*** GENERAL & PROGRAM CHAIRS - Dino Pedreschi, University of Pisa - Anna Monreale, University of Pisa - Riccardo Guidotti, University of Pisa STEERING COMMITTEE - Michelangelo Ceci, University of Bari SPECIAL SESSION CHAIR - Roberto Trasarti, ISTI-CNR Pisa POSTER SESSION CHAIR - Francesca Naretto DOCTORAL CONSORTIUM CHAIRS - Fosca Giannotti - Roberto Pellungrini SOCIAL MEDIA & PUBLICITY CHAIR - Vittorio Romano LOCAL ORGANIZATION COMMITTEE - Francesco Spinnato, University of Pisa - Lorenzo Mannocci, University of Pisa -- Riccardo Guidotti Dipartimento di Informatica Universit? di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa Mail: riccardo.guidotti at unipi.it Web: http://kdd.isti.cnr.it/homes/guidotti/ KDD Lab, Room: 363 Phone:+39 050 221 3134 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Sat Jun 8 07:32:43 2024 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Sat, 8 Jun 2024 13:32:43 +0200 Subject: Connectionists: LOD 2024 Call for late breaking papers: 10th International Conference on Learning, Optimization and Data - LOD 2024, 22-25 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Submission Deadline: June 10 In-Reply-To: References: Message-ID: Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees, thanks. -- The 10th International Conference on Learning, Optimization and Data - LOD 2024, 22-25 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy LOD 2024, An Interdisciplinary Conference: Deep Learning, Foundation Models & Artificial Intelligence without Borders https://lod2024.icas.events/ lod at icas.cc SATELLITE EVENTS: 2nd International Meeting on Foundation Models - IMFM2024 https://lod2024.icas.events/imfm2024/ 24 TRACKS: https://lod2024.icas.events/tracks/ PAPERS SUBMISSION: The Late Breaking Papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2024 *Paper Submission deadline: June 10 (Anywhere on Earth)* CALL FOR PAPERS: https://lod2024.icas.events/call-for-papers/ Please prepare your paper using the Springer Nature - Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF. TYPES OF SUBMISSIONS: When submitting a paper to LOD 2024, authors are required to select one of the following three types of papers: * long paper / Late breaking paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); the long papers and the late breaking papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings; * short paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); the short papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings; * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference; LOD 2024 KEYNOTE SPEAKERS: Vivek Natarajan, Google Health AI, San Francisco Bay Area, CA, USA "How LLMs might accelerate biomedical discovery and help scale world class healthcare to everyone" Johannes Schmidt-Hieber, University of Twente, The Netherlands "Towards a statistical foundation for machine learning methods" Michal Valko, Google DeepMind Paris, INRIA & ?cole Normale Sup?rieure Paris-Saclay, France "Fine Tuning Large Language Models & Gemini" https://lod2024.icas.events/keynote/ PAST LOD KEYNOTE SPEAKERS: https://lod2023.icas.cc/past-keynote-speakers/ BEST PAPER AWARD: Springer sponsors the LOD 2024 Best Paper Award with a cash prize of 1,000 Euro. https://lod2024.icas.events/best-paper-award/ PROGRAM COMMITTEE: 150+ confirmed PC members! https://lod2024.icas.events/program-committee/ VENUE: https://lod2024.icas.events/venue/ The venue of LOD 2024 will be Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany - Italy. LOD 2024 is a Residential Conference, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Localit? Riva del Sole - Castiglione della Pescaia (Grosseto, CAP 58043? Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events at rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://lod2024.icas.events/activities/ Submit your research work today! https://easychair.org/conferences/?conf=lod2024 See you in the beautiful Tuscany in September! Best regards, LOD 2024 Organizing Committee. Past Editions: https://lod2024.icas.events/past-editions/ https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/12092025/ https://lod2024.icas.events/ lod at icas.cc LOD2024 Poster: https://lod2024.icas.events/wp-content/uploads/sites/27/2023/11/LOD-2024-poster.png * Apologies for multiple copies. Please forward to anybody who might be interested * -- -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Sat Jun 8 09:56:05 2024 From: doya at oist.jp (Kenji Doya) Date: Sat, 8 Jun 2024 13:56:05 +0000 Subject: Connectionists: WCCI 2024 Open Forum on AI governance: June 30 in Yokohama and Online Message-ID: <43533BC9-E600-4D8B-97B5-AF467015263B@oist.jp> WCCI 2024 Open Forum on AI Governance How to harness evolving AI: Dialogue of developers, users, and policy makers Sunday June 30, 2024, 9-18 JST (UTC+9) Pacifico Yokohama and Online Web site: https://groups.oist.jp/ncu/event/wcci-forum On the first day of World Congress on Computational Intelligence (WCCI) 2024 https://2024.ieeewcci.org/ we will hold an Open Forum on AI Governance to discuss the prospects and risks of AI and how to align AI developments with human societal values. Yoshua Bengio, U Montreal, CIFAR AI Chair Natasha Crampton, Chief Responsible AI Officer, Microsoft Yoichi Iida, Ministry of Internal Affairs, Hiroshima AI Process WG Chair Hiroaki Kitano, SONY AI, OIST Satoshi Kurihara, Keio U, JSAI Akiko Murakami, Japan AI Safety Institute Vanessa Nurock, U C?te d'Azur, UNESCO EVA Chair Stuart Russell, UC Berkeley, Center for Human-Compatible AI Koichi Takahashi, RIKEN, AI Alignment Network Jaan Tallinn, Future of Life Institute Yi Zeng, Chinese Academy of Science, Research Center on AI Ethics and Safety The forum is on-site/online hybrid format. Those not registered to WCCI can also join by registration from the forum web site: https://groups.oist.jp/ncu/event/wcci-forum Registration deadline: June 20, 2024 Minoru Asada, Osaka U, RSJ Kenji Doya, OIST, INNS, JNNS, APNNS Arisa Ema, U. Tokyo, RIKEN AIP Joichi Ito, Chiba Institute of Technology Ryota Kanai, ARAYA, ALIGN Satoshi Kurihara, Keio U., JSAI Masashi Sugiyama, U. Tokyo, RIKEN AIP Koichi Takahashi, RIKEN BDR, ALIGN AI Alignment Network (ALIGN) Asia Pacific Neural Network Society (APNNS) Chiba Institute of Technology (CIT) International Neural Network Society (INNS) Japanese Neural Network Society (JNNS) Japan Society for Artificial Intelligence (JSAI) Okinawa Institute of Science and Technology (OIST) RIKEN Center for Advanced Intelligence Project (AIP) Robotics Society of Japan (RSJ) ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From damien.DEPANNEMAECKER at univ-amu.fr Sat Jun 8 17:28:17 2024 From: damien.DEPANNEMAECKER at univ-amu.fr (DEPANNEMAECKER Damien) Date: Sat, 8 Jun 2024 21:28:17 +0000 Subject: Connectionists: :::Deadline extension::: EITN Fall School in Computational Neuroscience 2024 In-Reply-To: <95d2f01fe24c4b6db81f5355768b65a5@univ-amu.fr> References: <95d2f01fe24c4b6db81f5355768b65a5@univ-amu.fr> Message-ID: <3155913ac24244ff975946d8749ee7f8@univ-amu.fr> The application deadline has been extended to July 7. EITN Fall School in Computational Neuroscience 2024 Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: ? Cellular models, and models of brain signals ? Circuit models and networks ? Mean-field models ? Whole-brain models Hands-on learning schedule based on: ? Morning classes and tutorials ? Group projects in the afternoon ? Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until July 7, 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024 at groups.emdesk.com You will receive a confirmation your application has been received within 5 working days (or on the day the application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitnfs2024 at groups.emdesk.com for any questions or assistance. This training is designed to be attended in person in Marseille. It will not be recorded nor accessible remotely. Organizers: Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU) Preliminary list of Faculty and Speakers: Viktor Jirsa (AMU, Marseille France)` Alain Destexhe (NeuroPSI, Paris, France)) Sacha Van Alba (Research Centre J?lich and University of Cologne, Allemagne) Egidio D?Angelo (University of Pavia, Italie) Michaele Migliore (National Research Council, Palerme, Italie) Andrea Brovelli (AMU, Marseille France) Matthieu Gilson(AMU, Marseille France) Marja-Leena Linne (Tempere University, Finlande) Spase Petkoski (AMU, Marseille France) Damien Depannemaecker(AMU, Marseille France) HuifangWang (AMU, Marseille France) ... -------------- next part -------------- An HTML attachment was scrubbed... URL: From uwe.hanebeck at kit.edu Sun Jun 9 08:54:34 2024 From: uwe.hanebeck at kit.edu (Hanebeck, Uwe (IAR)) Date: Sun, 9 Jun 2024 12:54:34 +0000 Subject: Connectionists: 2024 IEEE International Conference on Multisensor Fusion and Integration (MFI 2024) In-Reply-To: References: Message-ID: Call for Papers: Extra Extension of Submission Deadline Conference Name: 2024 IEEE International Conference on Multisensor Fusion and Integration - MFI 2024 Conference Dates: September 4-6, 2024 Location: University of West Bohemia, Pilsen, Czechia Dear Colleague, We are excited to announce an extraordinary extension of the submission deadline for the 2024 IEEE International Conference on Multisensor Fusion and Integration - MFI 2024! In response to numerous requests and to accommodate the diverse and innovative contributions we have received, we are pleased to provide additional time for authors to submit their papers. New Submission Deadline: June 21, 2024 The 2024 IEEE International Conference on Multisensor Fusion and Integration - MFI 2024 serves as a platform for researchers, practitioners, and academics to present and discuss the latest advancements, trends, and challenges in multisensor fusion and integration. We welcome original research papers from a wide range of topics, including but not limited to: * Theory - probability theory, Bayesian inference, nonlinear estimation, Dempster-Shafer, fuzzy sets, logic, machine learning, neural networks, distributed architectures, * Sensors - RGB and depth cameras, radar and sonar, laser scanner, infrared sensors, IMU, * Algorithms - tracking and localization, SLAM, perception, AI in robotics, cognitive systems, sensor registration, big data, sensor management, distributed sensor systems, recognition, visual servoing, learning by demonstration, * Applications - sensor networks, multi-robot systems, distributed and cloud robotics, bio-inspired systems, service robots, automation, biomedical applications, autonomous vehicles (land, sea, air), navigation, Internet-of-Things, smart cities, cyber-physical systems, Industry 4.0, search/rescue/audition, field and swarm robotics, force and tactile sensing. Important Dates: Extended Submission Deadline: June 21, 2024 Notification of Acceptance: July 12, 2024 Camera-Ready Submission: August 2, 2024 Conference Dates: September 4-6, 2024 Submission Guidelines: * All submissions must be original and not under consideration for publication elsewhere. * Papers should be formatted according to the conference guidelines https://mfi2024.org/cfp.html * Submit your papers through the conference submission portal https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FMFI2024 Why Submit to MFI 2024? Peer Review: Rigorous peer review process to ensure high-quality contributions. Networking: Opportunity to connect with leading experts and professionals in the field. Publication: Presented papers will be submitted for publication in IEEE Explore. Recognition: Awards for best papers. Social Event: Pilsner Urquell Brewery Tour Contact Information: For any questions or additional information, please contact the conference organizing committee at info at mfi2024.org or visit our website at https://mfi2024.org/index.html We encourage all prospective authors to take advantage of this extra extended deadline and submit their research to the MFI 2024. Thank you for your continued support and participation. Sincerely, Ondrej Straka Uwe Hanebeck MFI 2024 General Co-chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From gscheler at gmail.com Mon Jun 10 08:03:10 2024 From: gscheler at gmail.com (Gabriele Scheler) Date: Mon, 10 Jun 2024 14:03:10 +0200 Subject: Connectionists: Ensemble computing Message-ID: This paper may be relevant to the discussion on symbolic computing in the brain. https://www.biorxiv.org/content/10.1101/2023.12.22.573036v2 It leverages ideas about ensembles in the brain and outlines a basic scheme for symbolic abstraction . Gabriele -- Dr. Gabriele Scheler Carl Correns Foundation for Mathematical Biology 1030 Judson Dr Mountain View, CA 94040 https://www.theoretical-biology.org Please re-send an email if I fail to respond. -------------- next part -------------- An HTML attachment was scrubbed... URL: From damien.DEPANNEMAECKER at univ-amu.fr Mon Jun 10 07:56:24 2024 From: damien.DEPANNEMAECKER at univ-amu.fr (DEPANNEMAECKER Damien) Date: Mon, 10 Jun 2024 11:56:24 +0000 Subject: Connectionists: :::Deadline extension::: EITN Fall School in Computational Neuroscience 2024 In-Reply-To: <3155913ac24244ff975946d8749ee7f8@univ-amu.fr> References: <95d2f01fe24c4b6db81f5355768b65a5@univ-amu.fr>, <3155913ac24244ff975946d8749ee7f8@univ-amu.fr> Message-ID: The application deadline has been extended to July 7. Due to technical issues, the email address previously announced is not working, please send your application to: eitnfs2024 at protonmail.ch EITN Fall School in Computational Neuroscience 2024 Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: ? Cellular models, and models of brain signals ? Circuit models and networks ? Mean-field models ? Whole-brain models Hands-on learning schedule based on: ? Morning classes and tutorials ? Group projects in the afternoon ? Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until July, 7, 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024 at protonmail.ch Due to technical issue the email address previously announced is not working, please send your application at: eitnfs2024 at protonmail.ch EITN Fall School in Computational Neuroscience 2024 Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: ? Cellular models, and models of brain signals ? Circuit models and networks ? Mean-field models ? Whole-brain models Hands-on learning schedule based on: ? Morning classes and tutorials ? Group projects in the afternoon ? Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 09 June 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024 at protonmail.ch ________________________________ De : DEPANNEMAECKER Damien Envoy? : samedi 8 juin 2024 23:28:17 ? : connectionists at mailman.srv.cs.cmu.edu Objet : :::Deadline extension::: EITN Fall School in Computational Neuroscience 2024 The application deadline has been extended to July 7. EITN Fall School in Computational Neuroscience 2024 Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: ? Cellular models, and models of brain signals ? Circuit models and networks ? Mean-field models ? Whole-brain models Hands-on learning schedule based on: ? Morning classes and tutorials ? Group projects in the afternoon ? Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until July 7, 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024 at groups.emdesk.com You will receive a confirmation your application has been received within 5 working days (or on the day the application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitnfs2024 at groups.emdesk.com for any questions or assistance. This training is designed to be attended in person in Marseille. It will not be recorded nor accessible remotely. Organizers: Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU) Preliminary list of Faculty and Speakers: Viktor Jirsa (AMU, Marseille France)` Alain Destexhe (NeuroPSI, Paris, France)) Sacha Van Alba (Research Centre J?lich and University of Cologne, Allemagne) Egidio D?Angelo (University of Pavia, Italie) Michaele Migliore (National Research Council, Palerme, Italie) Andrea Brovelli (AMU, Marseille France) Matthieu Gilson(AMU, Marseille France) Marja-Leena Linne (Tempere University, Finlande) Spase Petkoski (AMU, Marseille France) Damien Depannemaecker(AMU, Marseille France) HuifangWang (AMU, Marseille France) ... -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernstein.communication at fz-juelich.de Mon Jun 10 08:55:40 2024 From: bernstein.communication at fz-juelich.de (Alexander Lammers) Date: Mon, 10 Jun 2024 14:55:40 +0200 Subject: Connectionists: Register now for the Bernstein Conference 2024 In-Reply-To: <121bc380-c68a-4194-b905-9fe601de7f63@fz-juelich.de> References: <121bc380-c68a-4194-b905-9fe601de7f63@fz-juelich.de> Message-ID: <082d8542-637a-4b5b-917d-3b7a88d0dd63@fz-juelich.de> The registration for the Bernstein Conference 2024 is open. Registration website: https://bernstein-network.de/bernstein-conference/registration/ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. Conference website: https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Travel Grant application deadline: Jun 26, 2024 (15:00 CEST) * Poster abstract submission deadline: Jul 10, 2024 (15:00 CEST) * Early registration deadline: Jul 31, 2024 (23:59 CEST) * Late registration deadline: Sep 11, 2024 (23:59 CEST) * Bernstein Conference: Sep 29 ? Oct 2, 2024 ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Sup?rieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of T?bingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universit?t zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor M?ynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum J?lich GmbH 52425 J?lich Sitz der Gesellschaft: J?lich Eingetragen im Handelsregister des Amtsgerichts D?ren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller Gesch?ftsf?hrung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Mon Jun 10 10:59:38 2024 From: wanling.cai at tcd.ie (Wanling Cai) Date: Mon, 10 Jun 2024 14:59:38 +0000 Subject: Connectionists: ACM UMAP 2024 | Online Registration until 21 June Message-ID: * We apologize if you receive multiple copies of this email * * Online version: https://www.um.org/umap2024/registration/ ACM UMAP 2024 ? Online Registration until 21 June ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 ACM UMAP ? User Modeling, Adaptation and Personalization ? is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP is the successor to the biennial User Modeling (UM) and Adaptive Hypermedia and Adaptive Web-based Systems (AH) conferences that were merged in 2009. It is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the Steering Committee. Proceedings are published by ACM and part of the ACM Digital Library. ACM UMAP 2024 is organized as an in-presence event, with online attendance support only during workshops and tutorials (i.e., the main conference will be run fully in-presence). Only workshops and tutorials will be streamed. ACM UMAP 2024?s organizers seek to foster an accessible and inclusive conference. We recognize that attendees have differing abilities to pay, and have instituted a tiered pricing program to accommodate different financial needs. Thanks for your interest in UMAP 2024! Please read the information link below carefully regarding costs and deadlines. * Registration information: https://www.um.org/umap2024/registration/ - Standard Registration until June 21, 2024 - Onsite Registration By July 4, 2024 * Registration Link: https://cvent.me/ekykDz Contact Information If you have any questions or enquiries, please contact: umap2024-chair at um.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Mon Jun 10 13:06:56 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Mon, 10 Jun 2024 20:06:56 +0300 Subject: Connectionists: =?utf-8?q?ICSC_CFP_=28Hybrid_Conference_Co-Sponso?= =?utf-8?q?red_by_IEEE_=29=3A_The_Fourth_Intelligent_Cybersecurity_?= =?utf-8?q?Conference=2C_17=E2=80=9320_September=2C_2024_=7C_Valenc?= =?utf-8?q?ia=2C_Spain=2E?= Message-ID: [Apologies if you got multiple copies of this invitation] The Fourth Intelligent Cybersecurity Conference (ICSC2024) Hybrid Event https://www.icsc-conference.org/2024/ 17?20 September, 2024 | Valencia, Spain. Technically Co-Sponsored by IEEE Spain Section *ICSC 2024 CFP:* In today?s world, connected systems, social networks, and mobile communications create a massive flow of data, which is prone to cyberattacks. This needs fast and accurate detection of cyber-attacks. Intelligent systems and Data analytics are important components when issues pertaining to effective security solutions become the subject of discussion. This is because there is an impending need for high volume and high velocity data from different sources to detect anomalies as soon as they are discovered. This will help reduce significantly the vulnerability of the systems as well as improve their resilience to cyber Attacks. The capability to process large volumes of information at real time through utilization of tools for data analytics has many advantages vital for analysis of cybersecurity systems. Moreover, the data collected from sophisticated intelligent systems, cloud systems, networks, sensors, computers, intrusion detection systems could be used to identify vital information. This information could be used to detect how vulnerable the systems are to risk factors, and so effective cyber security solutions can be developed. In addition to that, the utilization of data analytics tools in the cybersecurity field gives new insights through considering factors such as zero-day attack detection, real time analysis, resource constrained data processing among others. The Intelligent Cybersecurity Conference (ICSC) addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to: - Intelligent systems for effective detection of cyber-attacks - Advanced Intelligent systems and data analytics for Cloud/Edge systems security - Malware detection using intelligent systems Vulnerability assessment - Intelligent systems for intrusion detection in Internet of Things (IoT) systems - Network forensics using intelligent systems and data analytics - Data Analytics for privacy-by-design in smart health - Datasets, benchmarks, and open-source packages - Recourse efficient deep learning - Adversarial Machine learning and Backdoor Attacks - Blockchain Systems for Cyber Security - Trustworthy AI Systems - Intelligent Systems for Misinformation Detection *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICSC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *Important Dates:* - *Paper submission deadline: June 15, 2024 (Extended) * - Notification of acceptance: July 25, 2024 - Camera-ready Submission: August 5, 2024 *Contact:* Please send any inquiry on ICSC to: info at iccns-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Tue Jun 11 02:00:00 2024 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Tue, 11 Jun 2024 08:00:00 +0200 Subject: Connectionists: =?utf-8?q?Next_SIPTA_seminar=3A_14th_June=2C_Eyke?= =?utf-8?q?_H=C3=BCllermeier=2C_=22the_Challenge_of_Quantifying_Epistemic_?= =?utf-8?q?Uncertainty_in_Machine_Learning=22?= Message-ID: <974B4869-27F4-4B03-AD25-9E89C55F7AB0@hds.utc.fr> Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 14th of June (Friday). The zoom link for this seminar is https://utc-fr.zoom.us/j/86257697233 For this new seminar, we are very happy to have Eyke H?llermeier as our speaker. Eyke H?llermeier is a full professor at the Institute of Informatics at LMU Munich, Germany, where he heads the Chair of Artificial Intelligence and Machine Learning. His research interests are centered around methods and theoretical foundations of artificial intelligence, with a specific focus on machine learning and reasoning under uncertainty. He has published more than 300 articles on these topics in top-tier journals and major international conferences, and several of his contributions have been recognized with scientific awards. Professor H?llermeier is President of the European Association for Data Science (EuADS) and Editor-in-Chief of Data Mining and Knowledge Discovery, one of the leading journals in the field of AI. On the 14th of June, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "the Challenge of Quantifying Epistemic Uncertainty in Machine Learning?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 14th of June, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=tUlb6ybqfpI&list=PLXsgvF2_g5Ht-BYPWsSjcunA3SgNiuw51&index=19 See you at the seminar! S?bastien, Enrique and Jasper From cgf at isep.ipp.pt Mon Jun 10 18:45:52 2024 From: cgf at isep.ipp.pt (Carlos) Date: Mon, 10 Jun 2024 23:45:52 +0100 Subject: Connectionists: CFP: SoGood 2024 - ECML-PKDD Workshop on Data Science for Social Good Message-ID: <156174f1-6e8b-4042-9e1f-fd76e97dea7a@isep.ipp.pt> ================= Call for Papers SoGood 2024 ? 9th Workshop on Data Science for Social Good Affiliated with ECML-PKDD 2024, 9-13 September, Vilnius, Lithuania, https://ecmlpkdd.org/2024/ Workshop site: https://sites.google.com/view/sogood-2024/home ================= The possibilities of Data Science for contributing to the social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as "Social networks", "Predictive models", or the catch-all term "Applications"). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of the social impact of the application. This workshop aims to attract papers presenting applications of Data Science for Social Good (which may or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes: - Government transparency and IT against corruption - Public safety and disaster relief - Access to food, water, sanitation and utilities - Efficiency and sustainability - Climate change - Data journalism - Social and personal development - Economic growth and improved infrastructure - Transportation - Energy - Smart city services - Education - Social services, unemployment and homeless - Healthcare and well-being - Support for people living with disabilities - Responsible consumption and production - Gender equality, discrimination against minorities - Ethical issues, fairness, and accountability - Trustability and interpretability - Topics aligned with the UN development goals We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organisations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects that may not be strictly "non-profit" but have Social Good as their main focus. ================= Important Dates: There will be an award for the best paper. - Submission deadline: 15 June 2024 - Acceptance notification: 15 July 2024 - Camera-ready deadline: 1 September 2024 ================= Paper submission: Authors should submit a PDF version in Springer LNCS style using Microsoft CMT ECMLPKDD Workshops 2024 The maximum length of papers is 16 pages, consistent with the ECML PKDD conference submissions. ================= Paper publication: Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops. Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From genevievejourdainlambert at gmail.com Tue Jun 11 05:06:52 2024 From: genevievejourdainlambert at gmail.com (Genevieve Jourdain-Lambert) Date: Tue, 11 Jun 2024 11:06:52 +0200 Subject: Connectionists: Call for Papers: 13th Int. Conf. on Complex Networks, Istanbul, Dec 10-12, 2024 Message-ID: 13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 You are cordially invited to submit your contribution until *September 03, 2024*. *----------------------------------------------------------------------------------------------------------------------------------------------* *KEYNOTE SPEAKERS* ? Federico Battiston Central European University, Austria ? Tina Eliassi-Rad Northeastern University, USA ? Frank Emmert-Streib Tampere University, Finland ? Filippo Menczer Indiana University, USA ? Luciano Pietronero University of Rome, Italy *----------------------------------------------------------------------------------------------------------------------------------------------* *TUTORIALS (December 09, 2024)* ? Alessandro Galeazzi University of Padova, Italy ? Clara Stegehuis Twente University, The Netherlands *----------------------------------------------------------------------------------------------------------------------------------------------* *CONTRIBUTIONS* *Full papers: *not previously published up to 12 pages ? *Papers *will be included in the conference *proceedings edited by Springer* *Extended Abstracts*: about published or unpublished research up to 4 pages . ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* ? *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* *----------------------------------------------------------------------------------------------------------------------------------------------* *JOURNAL SPECIAL ISSUES* *Extended versions of accepted contributions will be invited for publication in special issues of :* o PLOS Complex Systems edited by PLOS . o PLOS One edited by PLOS o Applied Network Science edited by Springer Nature o Social Network Analysis and Mining edited by Springer Nature o Computational & Mathematical organization edited by Springer Nature o Advances in Complex Systems edited by World Scientific o Complex Systems Journal *----------------------------------------------------------------------------------------------------------------------------------------------* *SUBMISSION* *Refer to https://complexnetworks.org/submission/ * *----------------------------------------------------------------------------------------------------------------------------------------------* *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *-----------------------------------------------------------------------------------------------------------------------------------------* For further information and inquiries, please contact us at info at complexnetworks.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiaxiangzhang at gmail.com Tue Jun 11 07:13:44 2024 From: jiaxiangzhang at gmail.com (Jiaxiang ZHANG) Date: Tue, 11 Jun 2024 12:13:44 +0100 Subject: Connectionists: INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH) Message-ID: [apologies for cross-posting] *INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH)* 4 - 6 September 2024, Swansea, UK https://aiih.cc (*2nd CALL FOR ABSTRACT*) Submission deadline: Monday 1 July (FIRM) *1. INTRODUCTION * https://aiih.cc/abstracts/ AIiH 2024 welcomes late-breaking short abstract submissions to be included as poster or short spot-light presentation at the conference. This is to both enable fast dissemination of promising preliminary findings and encourage attendance by a broader audience of early career researchers (including research students), healthcare professionals, and industrial practitioners. AIiH 2024 is a single-track conference with oral and poster presentations and will include a conference tutorial on generative DNNs and 5 keynote presentations. The conference will also feature a plenary session, which consists of 3 invited speakers who have extensive experience in related areas. AIiH aims to provide a prominent platform for researchers and practitioners who are devoted to improving healthcare using modern artificial intelligence. We recognise that healthcare applications present complex and sometimes unique challenges across a wide spectrum, from ethics to technical developments, that generic AI methods are often inadequate. By creating this dedicated forum, we encourage discussions and disseminations of efficient and effective AI solutions and technologies for healthcare, and in turn we hope to influence the research, technology adoption, and decision making in healthcare. *2. CONFERENCE TUTORIAL* Title: Deep Generative Neural Networks https://aiih.cc/tutorial-generative-dnn/ Dr. Amir Atapour-Abarghouei University of Durham *3. KEYNOTE SPEAKERS* https://aiih.cc/keynote-speakers/ Prof. Hao Ni University College London Dr. Timothy Rittman Cambridge University Dr. Konstantinos Kamnitsas Oxford University Prof. Jacques Fleuriot Edinburgh University Prof. Eiichiro Tanaka Waseda University, Japan *4. PLENARY SESSION ON TRANSLATING AI RESEARCH INTO PRACTICE* https://aiih.cc/plenary-session/ Dr. Alba Di Pardo IRCCS Istituto Neurologico Mediterraneo Neuromed Dr. Noura Al Moubayed Durham University & Evergreen Life Dr. Haoda Fu Eli Lilly and Company *5. ABSTRACT SUBMISSION* Submission instructions are available at the conference website: https://aiih.cc/abstracts/ IMPORTANT DATES Abstract deadline: Monday 1 July (FIRM) Abstract notification: Monday 8 July (FIRM) Abstract registration: Monday 15 July Late registration: Monday 12 August Main conference: Wednesday 4 ? Friday 6 September 2024 *6. ORGANISERS* CONFERENCE GENERAL CHAIRS Xianghua Xie, Swansea University, UK Iain Styles, Queen?s University Belfast, UK PROGRAMME CHAIRS Gibin Powathil, Swansea University, UK Marco Ceccarelli, University of Rome Tor Vergata, Italy SPECIAL SESSION CHAIRS Jiaxiang Zhang, Swansea University, UK Rex Ying, Yale University, USA SPONSORSHIP CHAIRS Daniele Cafolla, Swansea University, UK Raoul van Loon, Swansea University, UK PUBLICITY CHAIRS Lu Zhang, Swansea University, UK Beiyu Lin, University of Nevada, USA PUBLICATION CHAIR Jingjing Deng, Durham University, UK *7. SPONSORS* Gold: - Technis Blu - Infordata Silver: - Amicus Therapeutics Bronze: - Zienkiewicz Institute for Modelling, Data and AI - IET Institution of Engineering and Technology Your Researcher Sponsor: - Elsevier Journal of Theoretical Biology Best Paper Award Sponsor: - Springer *8. CONTACT* contact at aiih.cc -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Tue Jun 11 09:46:05 2024 From: efipatm at gmail.com (Efi) Date: Tue, 11 Jun 2024 16:46:05 +0300 Subject: Connectionists: Invitation: AIDA/AUTH Summer School "AI and ML in BME", 25-28 June 2024, Chalkidiki, Greece Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the International AI Doctoral Academy (AIDA ) is excited to invite you to attend the upcoming summer school ?*AI and ML in BME*? organized by Aristotle University of Thessaloniki. This summer school will take place at the Aristotle University of Thessaloniki (AUTh) camping in Kalandra, Chalkidiki from *June* *25-28, 2024*. In this Summer School invited experts will hold seminars on different topics of ML and AI in biomedical science and interact with the participants in and out the lecture room. The aim of the School is to give some basic knowledge as well as stimulating practical examples to participants about different aspects of ML and AI and their application in diverse fields of biomedical science. The aim is also to exchange experience and ideas, as well as career perspectives, and interact in a relaxing environment of a summer camping. Social events are expected to take place, organized or not. *Details* Host Institution: Aristotle University of Thessaloniki Level: Postgraduate Schedule: In person participation, *25-28 June 2024*, AUTH camping in Kalandra , Chalkidiki, Greece Participation terms: There is *no* registration fee but the participants will be asked to pay for the entrance card to the camping. Join us and explore further: https://www.i-aida.org/course/summer-school-2024-on-ai-and-ml-in-bme/ Both AIDA and non-AIDA students are encouraged to participate in this summer school - *Students* (PhD students/candidates, Post-doc researchers belonging to any AIDA Member ) should enroll on this course using the ?ENROLL ON THIS COURSE? button on the AIDA course page , so that this course is included on your AIDA Certificate of Course Attendance upon successful completion of the course. Please also follow the instructions on the course page . - Students/participants *not* associated with any AIDA member can join the course by following the instructions on the course page . The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , supports a world-level AI education and research program. AIDA has regular lecture series, short courses, semester courses, and seasonal schools with the participation of hundreds of academics and serving a growing community of AI PhD students and researchers. Best regards AIDA Secretariat -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Tue Jun 11 09:55:37 2024 From: Francesco.Rea at iit.it (Francesco Rea) Date: Tue, 11 Jun 2024 13:55:37 +0000 Subject: Connectionists: [jobs] PhD position in Adaptation in Cognitive Architectures for Human Robot Interaction @ Italian Institute of Technology (IIT) Message-ID: PhD Position in Adaptation in Cognitive Architectures for Human Robot Interaction @ Italian Institute of Technology (IIT) In the spirit of the doctoral School on Bioengineering and Robotics (https://biorob.phd.unige.it/how-to-apply), the PhD Program for the curriculum "Cognitive Robotics, Interaction and Rehabilitation Technologies" provides interdisciplinary training at the interface between technology and life-sciences. The CONTACT Research Line is coordinated by Alessandra Sciutti, who has extensive experience in Cognitive Architecture for Human Robot Interaction. Description: To live independently, to interact with others and with daily life environments humans rely on their ability to adapt and to tune body and mind to contingent situations and goals. In humans, adaptation manifests both as a conscious change in our behaviors to adapt to changing environmental and social conditions and as an automatic regulation of chemically-mediated bodily reactions to external stimuli (or to maintain homeostatic conditions). Adaptability thus represents one of the desiderata for a cognitive agent, enabling it to fit in easily in changing environmental conditions and providing the foundation for rich, human-like personalized interaction with other agents. The candidate interested in this research project will investigate the cognitive bases of human adaptation abilities by designing, implementing and testing elements of a cognitive architecture for an artificial cognitive agent, such as the iCub humanoid platform. This Ph.D. project advances the topics of the iCog Cognitive Architecture scientific initiative (https://www.icog.eu/scope), at the convergence of many relevant disciplines, such as computer science, artificial intelligence, neuro- & cognitive sciences, robotics, and social sciences. The successful candidate will collaborate with an international network of researchers and partake to the sharing and convergence of multidisciplinary knowledge. Requirements: Degree in Robotics, Bioengineering, Computer science, Computer engineering, Cognitive Sciences or related disciplines; attitude for problem-solving; C++ programming skills preferable (but not mandatory for candidates from non-CS backgrounds). Contacts: Applicants are strongly encouraged to contact the prospective tutors before they submit their application: Francesco.Rea at iit.it, Alessandra.Sciutti at iit.it, Giulio.Sandini at iit.it Application's deadline: The 2024 Doctorate First Call will close on July 9th 2024 at 12 noon (CET) -------------- next part -------------- An HTML attachment was scrubbed... URL: From alinepaes at ic.uff.br Tue Jun 11 13:17:38 2024 From: alinepaes at ic.uff.br (Aline Paes) Date: Tue, 11 Jun 2024 14:17:38 -0300 Subject: Connectionists: [CFP] Deadline extension - BRACIS 2024 - 34th Brazilian Conference on Intelligent Systems Message-ID: Apologies for cross-posting! ########################################################### *TL;DR:* BRACIS 2024 Call for Papers - The 34th Brazilian Conference on Intelligent Systems (BRACIS) will be held in Bel?m, Brazil, from November 17-21, 2024. This is Brazil's primary AI and CI event. It invites the submission of research papers on various AI topics. Please visit the website for more information about the location and venue. *Key dates: submission by June 25,* *2024; notifications by August 21, 2024; and camera-ready copies by August31, 2024*. The conference features a double-anonymous review process and introduces four tracks, including a new "Published Papers in Top Venues" track. Best papers may be invited for special issue publications. Submissions are via JEMS . More details are as follows. ################################################################### The Program Committee of the 34th Brazilian Conference on Intelligent Systems (BRACIS) invites submissions of original research papers for the conference to be held in Bel?m, PA, Brazil. **First edition in the North Region** from November 17th to 21st, 2024. BRACIS is the most important event in Brazil for researchers interested in publishing significant and novel results related to Artificial and Computational Intelligence. The Brazilian Conference on Intelligent Systems (BRACIS) originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (21 editions), and the Brazilian Symposium on Neural Networks - SBRN (12 editions). BRACIS, which previously had 12 editions, will now be recognized as the 34th edition when considering its history and the 21 editions of SBIA. The 34th BRACIS plays a pivotal role in AI in Brazil, serving as a hub for promoting theoretical concepts and applications in Artificial and Computational Intelligence. The event fosters a space for exchanging scientific ideas among researchers, practitioners, scientists, and engineers working toward advancing Artificial and Computational Intelligence science. This aligns with the goals of other major international conferences proposed in a similar period in the history of AI, such as the 37th AAAI, 32nd IJCAI, and 37th NeurIPS (formerly called NIPS). The 33 previous editions of BRACIS highlight the pioneering of the Brazilian AI Community. **Please note that this year, we are inaugurating the track submissions.See further details in the Submission Details section. ** IMPORTANT DATESa -* Paper submission - June 25th, 2024 - AoE** - Notification to authors - August 21st, 2024. - Camera-ready copy due - August 31st, 2024. SPECIAL ISSUES Authors of the best papers will be invited to submit extended versions of their work to be appreciated for publication in special issues after the conference. SUBMISSION DETAILS Please note that the BRACIS submission is double-anonymous. This means that both the reviewer and author's identities and institutions are concealed from the reviewers, and vice versa, throughout the review process. To facilitate this, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity. If you have published a non-anonymous version of your paper online before paper submission (e.g. arXiv), you can send an anonymous version to the conference. No references to the non-anonymous version should appear in the anonymous version, and you should inform the PC chairs that there is a non-anonymous version. You cannot update the online version nor publish information regarding the work on social media during the paper review period, as it can compromise the double-double-anonymous review process. We strongly encourage making code and data available anonymously (e.g., in an anonymous GitHub repository via Anonymous GitHub or in a Dropbox folder). Submitted papers must be written in English and be at most 15 pages, including all tables, figures, references, and appendices. Formatting instructions, as well as templates for Word and LaTeX, are available at ConferenceProceedings guidelines . Springer's proceedings LaTeX templates are also available in Overleaf . All submitted papers will be reviewed by at least three experts in the field. Accepted papers will be included in the BRACIS proceedings and submitted for publication in Springer in Lecture Notes in Artificial Intelligence (LNAI) series. Only PDF files can be uploaded to the submission system. For each accepted paper, at least one author must register for the conference and present the paper at the conference venue. Submissions must be made online using JEMS . ** ATTENTION - About the use of LLMs ** Generative AI models (including Chat-GPT, BARD, LLaMA, Gemini, etc.) or similar LLMs do not meet the article authorship criteria for BRACIS 2024. However, we encourage articles that describe research on or involving such advanced AI models and tools. Authors who use an LLM in any part of the article writing process take full responsibility for all content, including checking for plagiarism and correcting all text. We suggest that this use be properly mentioned in the Acknowledgments section, with no harm in the evaluation process. ****** Tracks submission: New in this edition ******* This year, BRACIS will have four tracks: 1. Main track: original works showing novel AI methods with sound results. 2. AI applications for Social Good: original works presenting novel Social Good applications using established AI methods. 3. General applications: original works presenting novel applications using established AI methods, naturally considering the ethical aspects of the application. 4. Published papers: papers published in top AI conferences or journals in 2023 or 2024 (as a guide, consider the international rankings CS Metrics and CS rankings by selecting AI area or subareas; others can also be considered). Tracks 1-3 will have no distinction regarding the publication format and the publication in the proceedings. For Track 4, authors must submit a publishable 2-pages extended abstract (references can be on additional pages) that does not violate the copyright of the previous publication. The accepted papers of all tracks will have the same slot for presentation during the conference. TOPICS OF INTEREST Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI). Topics of interest include (but are not restricted to): - Agent-based and Multi-Agent Systems - Cognitive Modeling and Human Interaction - Constraints and Search - Foundations of AI - Distributed AI - Information Retrieval, Integration, and Extraction - Knowledge Representation and Reasoning - Commonsense Reasoning - Model-Based Reasoning - Probabilistic Reasoning, and Approximate Reasoning - Ontologies and the Semantic Web - Logic-based Knowledge Representation and Reasoning - Natural Language Processing - Planning and Scheduling - Evolutionary Computation and Metaheuristics - Fuzzy Systems - Neural Networks - Deep Learning - Machine Learning and Data Mining - Meta-learning - Reinforcement Learning - Molecular and Quantum Computing - Pattern Recognition and Cluster Analysis - Hybrid Systems - Bioinformatics and Biomedical Engineering using AI - Combinatorial and Numerical Optimization - Computer Vision - Education for AI and AI for Education - Forecasting - Game Playing and Intelligent Interactive Entertainment - Intelligent Robotics - Multidisciplinary AI and CI - Foundation Models - Large Language Models - Human-centric AI - Generative AI - Ethics in AI GENERAL CHAIR Andr? Ponce (ICMC/USP) PROGRAM CHAIRS Aline Paes (IC/UFF) Filipe A. N. Verri (IEC/ITA) ------------------------------------------------------------------------------------------------- *Profa. Dra. Aline Paes (she/her)* *Associate professor - Computer Science (Artificial Intelligence)* Institute of Computing / Universidade Federal Fluminense (IC/UFF) Member of CE-PLN and BPLN CNPq PQ-E and FAPERJ JCNE __________________________________________________________ url: www.ic.uff.br/~alinepaes Av Gal Milton Tavares de Souza, S/N, Computing Building, Office 504 S?o Domingos, Niter?i, RJ, Brazil. ZIP 24210-346 ------------------------------------------------------------------------------------------------- ****Please do not feel any pressure to respond out of your own regular working hours. Remember that this is supposed to be an asynchronous tool*** -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Tue Jun 11 20:59:14 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Wed, 12 Jun 2024 03:59:14 +0300 Subject: Connectionists: ICCNS2024 CFP (Hybrid Conference Co-Sponsored by IEEE):The International Conference on Intelligent Computing, Communication, Networking and Services, Dubrovnik, Croatia. Message-ID: [Apologies if you got multiple copies of this invitation] The International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2024) Hybrid Event https://iccns-conference.org/2024/index.php 24-27 Sept. 2024 | DUBROVNIK, CROATIA. Technically Co-Sponsored by IEEE Croatia section *ICCNS 2024 CFP:* With the advancements in wireless communication systems like Fifth Generation (5G), beyond 5G (B5G) and the Sixth Generation (6G), new and unprecedent services will be available for users with nearly unlimited capacity. These services will be the core driver of the future digital transformation of our cities and communities. This will be accompanied by a ubiquities deployment of the Internet of Things (IoT) infrastructure and supported by computing capacity that will be available at the edge of the network and at the cloud. The computing infrastructure will be handling the processing of the data generated by the users and services. Such a complex and diverse system will require an efficient and sustainable applications running on the computing\Networking infrastructure and also a smart control and automation systems to integrate and manage its different components. Artificial Intelligence (AI) and its applications will play a significant role on the design, deployment, automation and management of the future services. This will include the applications that will be running on the edge and the cloud servers, the networking applications to handle the flow of data between the users and the computing system and the intelligent automation and management software operating on the system. The International Conference on Intelligent Computing, Networking and Services is aiming to provide an opportunity to present the state of the art research in the intersections of Computing, Networking and Services that is supported by Artificial Intelligence. Researchers from both the industry and academia are encouraged to submit their original research contributions in all major areas, which include, but not limited to: - Track 1: Artificial Intelligence Fundamentals - Track 2: Intelligent Internet of Things and Cyber-Physical Systems - Track 3: Edge Intelligence and Federated Learning - Track 4: Intelligent Networking in Beyond 5G (B5G) and 6G Wireless Communication - Track 5: Intelligent Big Data Management and Processing - Track 6: Intelligent Security and Privacy - Track 7: Blockchain Research & Applications for Intelligent Networks and Services *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICCNS Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *Important Dates:* - *Paper submission deadline: June 15, 2024 (Extended) * - Notification of acceptance: August 5, 2024 - Camera-ready Submission: August 25, 2024 *Contact:* Please send any inquiry on ICCNS to: info at iccns-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernstein.communication at fz-juelich.de Wed Jun 12 04:03:04 2024 From: bernstein.communication at fz-juelich.de (Alexander Lammers) Date: Wed, 12 Jun 2024 10:03:04 +0200 Subject: Connectionists: Two weeks left to apply for Travel Grants for the Bernstein Conference 2024 In-Reply-To: References: Message-ID: <3cae5b49-e100-4164-87f0-4e59d5295a20@fz-juelich.de> To support the participation of early career scientists at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 ?. Details and application: https://bernstein-network.de/bernstein-conference/early-career-scientists/travel-grants/ ____ BERNSTEIN CONFERENCE Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. Conference website: https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Travel Grant application deadline: Jun 26, 2024 (15:00 CEST) * Poster abstract submission deadline: Jul 10, 2024 (15:00 CEST) * Early registration deadline: Jul 31, 2024 (23:59 CEST) * Late registration deadline: Sep 11, 2024 (23:59 CEST) * Bernstein Conference: Sep 29 ? Oct 2, 2024 ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Sup?rieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of T?bingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universit?t zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor M?ynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum J?lich GmbH 52425 J?lich Sitz der Gesellschaft: J?lich Eingetragen im Handelsregister des Amtsgerichts D?ren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller Gesch?ftsf?hrung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jose at rubic.rutgers.edu Wed Jun 12 08:35:42 2024 From: jose at rubic.rutgers.edu (=?utf-8?B?U3RlcGhlbiBKb3PDqSBIYW5zb24=?=) Date: Wed, 12 Jun 2024 12:35:42 +0000 Subject: Connectionists: Last week of LLM Understanding Summer School. Message-ID: <6a7b49cf-fa4b-473f-807d-b90681914c9f@rubic.rutgers.edu> There is incorrect information on the University web site for the LLM understanding, implying that you need a ticket to attend. THIS IS NOT TRUE. the Zoom access is Free; Here's the meeting number; again: ZOOM ACCESS IS FREE. MEETING NUMBER IS 85718093402 -- Stephen Jos? Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From gaoyixing at jlu.edu.cn Wed Jun 12 20:26:27 2024 From: gaoyixing at jlu.edu.cn (gaoyixing at jlu.edu.cn) Date: Thu, 13 Jun 2024 08:26:27 +0800 (GMT+08:00) Subject: Connectionists: [meetings] [CfP] Call for Late Breaking Reports: CIS-RAM 2024, Hangzhou, China (Submission Deadline 16 July 2024) Message-ID: 11th IEEE International Conference on Cybernetics and Intelligent Systems & Robotics, Automation and Mechatronics (CIS-RAM 2024) 8 ? 11 August 2024 | Hangzhou, China | https://www.cis-ram.org/2024/ ============================================================================================================== Important Dates: 16 July 2024: Late Breaking Reports Submission: All reports must be written in English and submitted electronically in PDF format via PaperPlaza (https://ras.papercept.net/conferences/scripts/start.pl). The length limit for reports is 2 pages. The themes and format should adhere to the conference paper requirements. Acceptance will be announced within 2 weeks from submission. All accepted late breaking reports will be included in the conference program, but will not be indexed by IEEE Xplore. More details can be found at the conference website. Organized by: IEEE Singapore Section IEEE Robotics and Automation Society (RAS) Singapore Chapter IEEE Systems, Man & Cybernetics (SMC) Singapore Chapter IEEE Robotics and Automation Society (RAS) Nanjing Chapter Dear Friends and Colleagues, We are delighted to invite you to participate in the 11th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and the 11th IEEE International Conference on Robotics, Automation and Mechatronics (RAM), which will be held from 08 to 11 Aug, 2024 in Hangzhou, China. The IEEE International Conferences on CIS & RAM have always been held together, to exploit the synergistic relationship between both areas. CIS-RAM was first held in Singapore in 2004, followed by Thailand in 2006, Chengdu (China) in 2008, Singapore in 2010, Qingdao (China) in 2011, Manila (Philippines) in 2013, Angkor Wat (Cambodia) in 2015, Ningbo (China) in 2017, Bangkok (Thailand) in 2019, and Penang (Malaysia) in 2023 . Programs and Topics on CIS Cybernetics Automation and Control, Cooperative Systems and Control, Computational Intelligence, Multi-Agent Systems, Supervisory Control, Hybrid Systems, Neural Networks, Deep Reinforcement Learning, Genetic Algorithms, Evolutionary Computation, Systems Modeling & Control, Optimization, Smart Sensor Networks, Blockchain Technologies, Networked Dynamical Systems, Discrete Event Systems, Swarm Intelligence, Soft Computing, Fuzzy Systems, Decision Support Systems, System of Systems, Big Data, Internet of Things, Image Processing, Environmental Systems, Systems Biology, Cyber-physical Systems, Human/Machine Systems, Transportation Systems, Manufacturing Systems, Smart City, Resource Management, Energy Efficiency, Artificial Intelligence Generated Content, Large Language Models, Natural Language Processing. Programs and Topics on RAM Robotics and Automation in Unstructured Environment, Personal and Service Robotics, Underwater Robotics, Medical Robots and Systems, Social Robotics, Robotics and Automation Applications, Sensor Design, Integration, and Fusion, Robot Vision, Deep Learning, Embodied AI, Human-Robot Interfaces, Haptics, Tele-robotics, Network Robotics, Micro/Nano, Distributed, Cellular, and Multi-robot Systems, Biologically-Inspired Robots and Systems, Intelligent Transportation Systems, Modeling, Planning and Control, Kinematics, Mechanics, and Mechanism Design, Legged Robots, Wheeled Mobile Robots, Aerial Robotics, Dynamics, Motion Control, Force/Impedance Control, Architecture and Programming, Methodologies for Robotics and Automation, Virtual Reality, Localization & Tracking, A Fleet of AGVs. For general conference information, please contact the General Chair and the Conference Secretary: cis-ram2024 at outlook.com Sincerely Yours, Han Wang, Rong Su, Bin Zhang, Ayse Kucukyilmaz & Yixing Gao Publicity Chairs, CIS-RAM 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From damiano.spina at rmit.edu.au Wed Jun 12 22:19:22 2024 From: damiano.spina at rmit.edu.au (Damiano Spina) Date: Thu, 13 Jun 2024 02:19:22 +0000 Subject: Connectionists: CLEF 2025: Call for Lab Proposals In-Reply-To: References: Message-ID: RMIT Classification: Trusted -------------------------------------------------------------- CLEF 2025 Conference and Labs of the Evaluation Forum Madrid, Spain, September 9-12, 2025 http://clef2025.clef-initiative.eu -------------------------------------------------------------- Call for Lab Proposals At its 26th edition, the Conference and Labs of the Evaluation Forum (CLEF) is a continuation of the very successful series of evaluation campaigns of the Cross Language Evaluation Forum (CLEF) -- which ran between 2000 and 2009 -- and established a framework of systematic evaluation of information access systems, primarily through experimentation on shared tasks. As a leading annual international conference, CLEF uniquely combines evaluation laboratories and workshops with research presentations, panels, posters and demo sessions. In 2025, CLEF takes place in September, 9-12 in Madrid, Spain. Researchers and practitioners from all areas of information access and related communities are invited to submit proposals for running evaluation labs as part of CLEF 2025. Proposals will be reviewed by a lab selection committee, composed of researchers with extensive experience in evaluating information access, retrieval, and extraction systems. Organisers of selected proposals will be invited to include their lab in the CLEF 2025 labs programme, possibly subject to suggested modifications to their proposal to better suit the CLEF lab workflow or timeline. Background The CLEF Initiative (http://www.clef-initiative.eu/) is a self-organised body whose main mission is to promote research, innovation, and development of information access systems with an emphasis on multilingual information in different modalities - including text and multimedia - with various levels of structure. CLEF promotes research and development by providing an infrastructure for: 1.????independent evaluation of information access systems; 2.????investigation of the use of unstructured, semi-structured, highly-structured, and semantically enriched data in information access; 3.????creation of reusable test collections for benchmarking; 4.????exploration of new evaluation methodologies and innovative ways of using experimental data; 5.????discussion of results, comparison of approaches, exchange of ideas, and transfer of knowledge. Scope of CLEF Labs We invite submission of proposals for two types of labs: 1.?????Campaign-style? Evaluation Labs for specific information access problems (during the twelve months period preceding the conference), similar in nature to the traditional CLEF campaign ?tracks?. Topics covered by campaign-style labs can be inspired by any information access-related domain or task. 2.????Labs that follow a more classical ?workshop? style, exploring evaluation methodologies, metrics, processes, etc. in information access and closely related fields, such as natural language processing, machine learning, and human-computer interaction. We highly recommend organisers new to the CLEF format of shared task evaluation campaigns to first consider organising a lab workshop to discuss the format of their proposed task, the problem space and practicalities of the shared task. The CLEF 2025 programme will reserve about half of the conference schedule for lab sessions. During the conference, the lab organisers will present their overall results in overview presentations during the plenary scientific paper sessions to give non-participants insights into where the research frontiers are moving. During the conference, lab organisers are expected to organise separate sessions for their lab with ample time for general discussion and engagement with all participants -- not just those presenting campaign results and papers. Organisers should plan time in their sessions for activities such as panels, demos, poster sessions, etc. as appropriate. CLEF is always interested in receiving and facilitating innovative lab proposals. Potential task proposers unsure of the suitability of their task proposal or its format for inclusion at CLEF are encouraged to contact the CLEF 2025 Lab Organising Committee Chairs to discuss its suitability or design at an early stage. Proposal Submission Lab proposals must provide sufficient information to judge the relevance, timeliness, scientific quality, benefits for the research community, and the competence of the proposers to coordinate the lab. Each lab proposal should identify one or more organisers as responsible for ensuring the timely execution of the lab. Proposals should be 3 to 4 pages long and should provide the following information: 1.????Title of the proposed lab. 2.????A brief description of the lab topic and goals, its relevance to CLEF and the significance for the field. 3.????A brief and clear statement on usage scenarios and domain to which the activity is intended to contribute, including the evaluation setup and metrics. 4.????Details on the lab organiser(s), including identifying the task chair(s) responsible for ensuring the running of the task. This should include details of any previous involvement in organising or participating in evaluation tasks at CLEF or similar campaigns. 5.????The planned format of the lab, i.e., campaign-style (?track?) or workshop. 6.????Is the lab a continuation of an activity from previous year(s) or a new activity? a)????For activities continued from previous year(s): Statistics from previous years (number of participants/runs for each task), a clear statement on why another edition is needed, an explicit listing of the changes proposed, and a discussion of lessons to be learned or insights to be made. b)????For new activities: A statement on why a new evaluation campaign is needed and how the community would benefit from the activity. 7.????Details of the expected target audience, i.e., who do you expect to participate in the task(s), and how do you propose to reach them. 8.????Brief details of tasks to be carried out in the lab. The proposal should clearly motivate the need for each of the proposed tasks and provide evidence of its capability of attracting enough participation. The dataset which will be adopted by the Lab needs to be described and motivated in the perspective of the goals of the Labs; also indications on how the dataset will be shared are useful. It is fine for a lab to have a single task, but labs often contain multiple closely related tasks, needing a strong motivation for more than 3 tasks, to avoid useless fragmentation. 9.????Expected length of the lab session at the conference: half-day, one day, two days. This should include high-level details of planned structure of the session, e.g. participant presentations, invited speaker(s), panels, etc., to justify the requested session length. 10.???Arrangements for the organisation of the lab campaign: who will be responsible for activities within the task; how will data be acquired or created, what tools or methods will be used, e.g., how will necessary queries be created or relevance assessment carried out; any other information which is relevant to the conduct of your lab. 11.???If the lab proposes to set up a steering committee to oversee and advise its activities, include names, addresses, and homepage links of people you propose to be involved. Lab proposals must be submitted via EasyChair at the following address: https://easychair.org/conferences/?conf=clef2025 choosing the ?CLEF 2025 Lab Proposals? track. Reviewing Process Each proposal submitted by 7 July 2024 will be reviewed by the CLEF 2025 Lab Organising Committee. The acceptance decision will be sent by email to the responsible organiser by 5 Aug 2024. The final length of the lab session at the conference will be determined based on the overall organisation of the conference and the number of participant submissions received by a lab. Advertising Labs at CLEF 2024 and ECIR 2025 Organisers of accepted labs are expected to advertise their labs at both CLEF 2024 (September 9-12, 2024, Grenoble, France) and ECIR 2025 (April 6-10, Lucca, Italy). So, at least one lab representative should attend these events. Advertising at CLEF 2024 will consist of displaying a poster describing the new lab, running a break-out session to discuss the lab with prospective participants, and advertising/announcing it during the closing session. Advertising at ECIR 2025 will consist of submitting a lab description (due on early October 2024) to be included in ECIR 2025 proceedings and advertising the lab in a booster session during ECIR 2025. Lab Proposals from Newcomers If you have not organised a lab before, do not panic! The CLEF 2025 Lab Organising Committee Lab is willing to mentor you by offering help, guidance, and feedback on the writing of your draft lab proposal. If you are a newcomer interested in receiving guidance, please send an e-mail with the following tag in the subject ?[Mentorship CLEF 2025 Lab Proposals]? to: clef2025-lab-proposals at easychair.org. We also encourage newcomers to refer to Friedberg et al. (2015) for initial guidance on preparing their proposal: Friedberg I, Wass MN, Mooney SD, Radivojac P. Ten simple rules for a community computational challenge. PLoS Comput Biol. 2015 Apr 23;11(4):e1004150. Important Dates -?7 July 2024: Lab proposals submission -?5 August 2024: Notification of lab acceptance -?9-12 Sep 2024: Advertising Accepted Labs at CLEF 2024, Grenoble, France -?October 2024 (TBA by ECIR): Submission of short lab description for ECIR 2025 (https://ecir2025.eu/key-dates/) -?6-10 April 2025: Advertising labs at ECIR 2025, Lucca, Italy -?April-May: Lab evaluation cycle -?May-June: Review process of participant papers -?June 2025: Review of the condensed labs overviews -?July 2025: CEUR-WS Working Notes Preview for Checking by Authors and Lab Organisers -?6-12 Sep 2025: Labs at CLEF 2025, Madrid, Spain CLEF 2025 Lab Chairs -?Paolo Rosso, Universitat Polit?cnica de Val?ncia (UPV), Valencia, Spain -?Damiano Spina, RMIT University, Melbourne, Australia Questions? E-mail us at clef2025-lab-proposals at easychair.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Thu Jun 13 07:01:43 2024 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Thu, 13 Jun 2024 11:01:43 +0000 Subject: Connectionists: CFP: Workshop on Explainable and Robust AI for Industry 4.0 & 5.0 - ECML-PKDD 2024 Message-ID: The Workshop on Explainable and Robust AI for Industry 4.0 & 5.0 (XRAI) will be co-located with ECML-PKDD 2024. The workshop is planned to take place in Vilnius, Lithuania, 19 September 2024. Workshop website: https://xrai.geist.re Important Dates: ================ Submission Deadline: 22.06.2024 Notification of Acceptance: 15.07.2024 Camera-Ready Versions Due: 29.07.2024 Workshop date: 30 September - 13.09.2023 Carlos Ferreira [https://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt -------------- next part -------------- An HTML attachment was scrubbed... URL: From benjamin.lindner at physik.hu-berlin.de Thu Jun 13 05:43:17 2024 From: benjamin.lindner at physik.hu-berlin.de (Benjamin Lindner) Date: Thu, 13 Jun 2024 10:43:17 +0100 Subject: Connectionists: PhD position at Bernstein Center Berlin & Humboldt University (Physics Dep.) available: Universal description of stochastic oscillators Message-ID: <2a0d6aee-7be8-42cd-9568-ec6711e2f374@physik.hu-berlin.de> *Universal description of stochastic oscillators - higher dimensional examples, extraction of the mapping from data, and networks of oscillators * Within DFG-funded project, I am looking for a PhD candidate to work on the theoretical description of stochastic oscillations.Specifically, we want to apply and generalize a recently developed universal description of stochastic oscillators (Perez-Cervera et al. PNAS, 2023) in three respects: (i) it should be applied to oscillators that have higher dimensions than two going beyond what has been studied before; (ii) the nonlinear transformation at the core of the procedure should be extracted from (simulation or experimental) data; (iii) the theory for coupled stochastic oscillators will be more thoroughly grounded and, moreover, extended to the case of networks of stochastic oscillators (more than two oscillators, the case previously investigated). These explorations and extensions of the framework have potential applications for the theoretical description of many systems outside of thermodynamic equilibrium, in particular in biology and neuroscience. The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills, team spirit, and, last but not least, great enthusiasm for interdisciplinary projects. Funding is provided for three years, starting in the *fall 2024*. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula. Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to me benjamin.lindner at physik.hu-berlin.de (cc to officebl at bccn-berlin.de), stating the reference number *DR/084/24*. The deadline for applications is *July 24, 2024*, however, later applications might also be considered. Kind regards, Benjamin Lindner -------------------------------------------------------------------------------------------------------------------- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics Bernstein Center for Computational Neuroscience Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 6336 Department of Physics Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.408, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html -------------------------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4869 bytes Desc: S/MIME Cryptographic Signature URL: From roignoguera at em.uni-frankfurt.de Thu Jun 13 06:37:57 2024 From: roignoguera at em.uni-frankfurt.de (Gemma Roig) Date: Thu, 13 Jun 2024 12:37:57 +0200 Subject: Connectionists: 2 open position in Goethe University Frankfurt for the DFG funded project Learning From Environment Through the Eyes of Children Message-ID: Dear community, We are happy to announce that the DFG funded project Learning From Environment Through the Eyes of Children within SPP 2431 New Data Spaces for the Social Sciences, situated at Goethe University Frankfurt, invites applications for 1 PostDoc position in Psychology (f/m/d) (E 13 TV-G-U) and 1 PhD or PostDoc position in Computer Science (f/m/d) (E 13 TV-G-U) Preferred starting date is September 2024. The duration of contracts will be three years. The salary grade is based on the job characteristics of the collective agreement applicable to Goethe University (TV-G-U). The project is set in an interdisciplinary environment with Prof. Yee Lee Shing from the psychology department from the field of Developmental Psychology and Cognitive Neuroscience, and Prof. Gemma Roig from the computer science department from the field of Artificial Intelligence and Cognitive Computational Neuroscience. Our joint research goal for this project is to establish a new mode of data acquisition that captures young children?s first-person experience in naturalistic settings and establish systematic pipelines that leverage artificial intelligence (AI) to characterize the nature and complexity of the captured experiences. This contributes to the aims of the SPP programme to establish a new, multimodal data approach in social science studies, as well as a pipeline that connects and compares this new approach against traditional survey data types. For more information about the SPP 2431 New Data Spaces for the Social Science, please visit https://www.new-data-spaces.de/en-us// . Apply to join our interdisciplinary team to solve these exciting research questions! The job involves research within this project. Scope and hiring requirements for Prof. Yee Lee Shing: The individual will work in close collaboration with computer science team members on the issue of the interplay between environment and individual development, utilizing digital technologies to reliably capture daily experiences from the first-person perspective. The ideal candidate will have a doctoral degree and should have expertise in psychology/cognitive neuroscience, experience with eye-tracking and collecting video data in everyday environments, designing and setting up studies with young children, and analyzing the collected data in relation to psychological variables. For more information, please contact Yee Lee Shing at shing at psych.uni-frankfurt.de . Scope and hiring requirements for Prof. Gemma Roig: This person will work on the development of an AI-based framework to characterize the nature and complexity of the captured experiences, including the development and adaptation of multimodal deep neural networks to automatically analyze and infer the camera, eye-tracking and microphones data; analyze and explore the collected data from the psychological variables and questions. The ideal candidate will have a master or doctoral degree and should have strong knowledge of machine learning (deep learning, RNN, LSTMs, transformers, multimodal models), excellent programming skills in Python and extensive experience with Tensorflow, pyTorch or related libraries; knowledge of distributed high performance computing with GPUs and experience/strong interest in psychology and cognitive science. For more information, please contact Gemma Roig at roig at cs.uni-frankfurt.de . The project is a multidisciplinary project at Goethe University Frankfurt, which is part of a vibrant community of cognitive and neuroscientists, with a strong core of AI. The researchers have access to state-of-the-art research facilities, including laboratory facilities for human behavioral studies and dedicated GPU computing resources. Goethe University aims to increase the proportion of women and therefore particularly encourages applications from women. Severely disabled persons with equal aptitude and qualifications will be given priority. Please send your informative application by 07.07.2024 with the usual documents, including CV, an overview of courses already held with evaluation results and a one-page description of the research profile exclusively in electronic form (one PDF file) by e-mail to Prof. Dr. Yee Lee Shing, Institute of Psychology, Developmental Psychology, Theodor-W.- Adorno-Platz 6, 60323 Frankfurt am Main, e-mail: shing at psych.uni-frankfurt.de and Prof. Dr. Gemma Roig, Computer Science and Mathematics, Chair of Data Analytics & Modeling, Robert-Mayer-Stra?e 11 - 15, 60325 Frankfurt, e-mail: roig at cs.uni-frankfurt.de . -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Thu Jun 13 09:11:36 2024 From: efipatm at gmail.com (Efi) Date: Thu, 13 Jun 2024 16:11:36 +0300 Subject: Connectionists: =?utf-8?q?Invitation=3A_Summer_School_=22Deep_Lea?= =?utf-8?q?rning_School_2024=22=2C_Universit=C3=A9_C=C3=B4te_d=27Az?= =?utf-8?q?ur=2C_Sophia_Antipolis=2C_France=2C_1-5_July_2024=2E?= Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the International AI Doctoral Academy (AIDA ) is excited to invite you to attend the upcoming summer school ?*Deep Learning School 2024*? organized by EFELIA C?te d'Azur (the training branch of the Institute 3IA C?te d'Azur of Universit? C?te d'Azur). This summer school will take place at the Campus SophiaTech, located in Sophia Antipolis, France, *1-5 July 2024*. the Deep Learning School will address the hot topics of the moment in *Deep Learning*, of course, but also *NLP* and the *SciML revolution*. Speakers will address these issues and the concerns they may generate (personal data management and retention, environmental impact, explicability/interpretability, health/biology, etc.) from a *responsible, human-centric and ethical angle*. *Details* Host Institution: Universit? C?te d'Azur Level: Whether you are a researcher, an engineer, an expert in deep learning, or simply eager to learn more about these crucial methods at the core of modern AI, this program is designed for you! Schedule: In person participation, *1-5 July 2024 on the Campus SophiaTech, located in Sophia Antipolis, France* Participation terms: Fees for one person exclusively reserved for students and staff from AIDA, Universit? C?te d'Azur, and 3IA C?te d'Azur consortium (Centrale M?diterran?e, CNRS, Ecole de l'Air et de l'Espace, EURECOM, Inria, Inserm, SKEMA). Please find more details: https://my.weezevent.com/deep-learning-school-2024-aida All lectures and labs will be conducted *in English* Join us and explore further: https://www.i-aida.org/course/deep-learning-school-2024/ Both AIDA and non-AIDA students are encouraged to participate in this summer school - *Students* (PhD students/candidates, Post-doc researchers belonging to any AIDA Member ) should enroll on this course using the ?ENROLL ON THIS COURSE? button on the AIDA course page , so that this course is included on your AIDA Certificate of Course Attendance upon successful completion of the course. Please *also *follow the instructions on the course page . - Students/participants *not* associated with any AIDA member can join the course by following the instructions on the course page . The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , supports a world-level AI education and research program. AIDA has regular lecture series, short courses, semester courses, and seasonal schools with the participation of hundreds of academics and serving a growing community of AI PhD students and researchers. Best regards AIDA Secretariat -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonio.cina at unige.it Thu Jun 13 09:01:08 2024 From: antonio.cina at unige.it (=?utf-8?B?QW50b25pbyBDaW7DoA==?=) Date: Thu, 13 Jun 2024 13:01:08 +0000 Subject: Connectionists: Workshop CFP - Human Aligned AI: Towards Algorithms that Humans Can Trust Message-ID: <5AB99DF4-5EE1-4BEC-BDBB-4152BC102345@unige.it> [Apologies if you receive multiple copies of this CFP] Call for papers: Workshop on "Human Aligned AI: Towards Algorithms that Humans Can Trust" at ICMLA 2024 - https://www.icmla-conference.org/icmla24/workshops.html Accepted papers will be included in the main conference proceedings. International Conference on Machine Learning and Applications (ICMLA 2024). 18-20 December 2024, Miami, Florida, USA - https://www.icmla-conference.org/icmla24/ DESCRIPTION: The rapid advancement of Artificial Intelligence (AI) brings forth critical considerations for its trustworthiness, including safety and security, fairness, privacy, and explainability, demanding a human-aligned approach. This workshop discusses the imperative for embedding these principles in the design and deployment of AI systems to ensure they align with human values and societal norms. We examine the challenges and strategies towards developing trustworthy AI, preventing unintended consequences, and addressing potential security vulnerabilities. Furthermore, we argue the necessity for a framework for the responsible development of AI, advocating for interdisciplinary collaboration and regulatory oversight. The goal is to foster AI technologies that enhance human well-being, uphold privacy and dignity, and contribute to a secure and equitable future. TOPICS OF INTEREST: Trustworthy AI - Adversarial attacks and defenses on machine learning and deep learning - Formal verification of machine learning and deep learning models - Privacy-preserving machine learning and deep learning - Explainability and Fairness - Theoretical foundations of Human Aligned AI Applications of Trustworthy AI - Generative AI - Healthcare - Cybersecurity - Transportation - Robotics - Industry SUBMISSION: Prospective authors must submit their paper through the ICMLA portal following the instructions provided in https://www.icmla-conference.org/icmla24/howtosubmit.html selecting "Workshop: Human Aligned AI: Towards Algorithms that Humans Can Trust". Each paper will undergo a peer-reviewing process for its acceptance. IMPORTANT DATES: Submission of papers: 31 July 2024 Notification of acceptance: 31 August 2024 ICMLA conference: 18-20 December 2024 https://www.icmla-conference.org/icmla24/keydates.html SPECIAL SESSION ORGANISERS: Luca Oneto, University of Genoa Battista Biggio, University of Cagliari Noemi Greco, Google Davide Anguita, University of Genoa Fabio Roli, University of Genoa Maura Pintor, University of Cagliari Luca Demetrio, University of Genoa Antonio Emanuele Cin?, University of Genoa Ambra Demontis, University of Cagliari ACKNOWLEDGEMENTS: ELSA Project https://www.elsa-ai.eu/ Antonio Emanuele Cin? Assistant Professor @ University of Genoa, DIBRIS Via All'Opera Pia, 13, 16145 Genova GE -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4384 bytes Desc: not available URL: From Mark.Humphries at nottingham.ac.uk Thu Jun 13 09:39:10 2024 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Thu, 13 Jun 2024 13:39:10 +0000 Subject: Connectionists: Deadline approaching: Register by June 21st for UK Neural Computation 2024 (July 8 -10th) In-Reply-To: References: Message-ID: Deadline approaching! Register by June 21st for the UK Neural Computation meeting 2024 (Sheffield 8-10th July): https://neuralcomputation.uk/ UKNC is a national meeting for everyone interested in the computations of the brain, both experimentally and theoretically. 8 July: ECR day for students, postdocs & fellows. ~40 places are available. Events will include academic career pathways, industry careers panel, and grant writing workshop 9-10 July: main meeting Speakers include: Andrew Adamatzky; Geoff Goodhill; Dan Goodman; Tim O?Leary; Rasmus Petersen; Rui Ponte Costa; Huiling Tan; Yulia Timofeeva; Mark van Rossum; Eleni Vasilaki. Keynote: Randy Bruno Please spread the word! Enquiries: uknc24 at sheffield.ac.uk Organisers Hannes Saal (Sheffield) Stuart Wilson (Sheffield) Mark Humphries (Nottingham) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From paul.linton at columbia.edu Thu Jun 13 11:39:45 2024 From: paul.linton at columbia.edu (Paul Linton) Date: Thu, 13 Jun 2024 11:39:45 -0400 Subject: Connectionists: CCN GAC: "Is V1 a Cognitive Map?" Message-ID: <258F9F41-2303-4BBE-8C2E-C8416831B37A@columbia.edu> Pleased to announce our Generative Adversarial Collaboration at the Cognitive Computational Neuroscience conference: ?Is V1 a Cognitive Map?? Paul Linton, David Heeger, Tony Movshon, Lars Muckli, Hendrikje Nienborg, Paolo Papale, Andrew Parker, Lucy Petro, Pieter Roelfsema, Petra Vetter, Li Zhaoping, Cheng Xue, Nikolaus Kriegeskorte A ?Cognitive Map? is an internal model of space upon which we can scaffold our judgments about the world. The question this GAC seeks to resolve is whether V1 acts as a ?Cognitive Map? in humans? In answering this question, our goal is to connect Cognitive Science back to the Computational Neuroscience of V1. There?s been a raft of suggestive evidence of ?cognitive? processing in V1 over the last 20 years, but comparatively little stepping back and asking ?what does it all mean?? By contrast, the goal of Cognitive Computational Neuroscience is not just to link neural processes with computational principles, but also to explore what they mean for our experience of the world. And now we need YOUR help! Please visit the project page and let us know what you think about the proposal: https://sites.google.com/ccneuro.org/gac2020/gacs-by-year/2024-gacs/2024-1?authuser=0 And please join us for the discussion at CCN in August! https://2024.ccneuro.org/ ? Dr Paul Linton Presidential Scholar in Society and Neuroscience, Columbia University Fellow, Italian Academy for Advanced Studies, Columbia University Visual Inference Lab, Zuckerman Mind Brain Behavior Institute, Columbia University https://linton.vision -------------- next part -------------- An HTML attachment was scrubbed... URL: From stevensequeira92 at hotmail.com Thu Jun 13 12:50:03 2024 From: stevensequeira92 at hotmail.com (steven gouveia) Date: Thu, 13 Jun 2024 16:50:03 +0000 Subject: Connectionists: 11th rTAIM Online Seminar | Walter Sinnott-Armstrong (Duke Uni.) | 26 June 2024 - 3pm Lisbon Time Zone | Zoom In-Reply-To: References: Message-ID: Dear All, Following the 10th rTAIM Online Seminar (available here: https://www.youtube.com/watch?v=ZsRMi76gv9c), we are happy to announce the 11th rTAIM Online Seminar with the participation of Professor Walter Sinnott-Armstrong (Duke University, USA), on the 26th June 2024, 15h-16h30 Lisbon Time Zone, via Zoom. Title: The Moral AI and How We Get There ? Abstract: Artificial intelligence (AI) is beginning to be used for many life-changing decisions in medicine. Critics object that using AI in these areas is too likely to lead to harm, unfairness, and other moral wrongs. In response, I will argue that these decisions can be made safer and more ethical by building human moral values into the AI decisionmaker. But how can we do that? I will discuss problems for some proposed ways to build morality into AI from the top down and from the bottom up. Then I will explain our lab?s novel hybrid alternative, which surveys human moral judgments and then corrects for ignorance, confusion, and partiality. Because our approach is based on idealized observer theories in ethics, it minimizes substantive assumptions about what is morally right or wrong, and it can be used in a wide variety of contexts. I will report initial empirical results using our method and discuss potential applications to kidney allocation and dementia. Short bio: Walter Sinnott-Armstrong is Chauncey Stillman Professor of Practical Ethics in the Department of Philosophy and the Kenan Institute for Ethics at Duke University. His most recent book is Moral AI and How We Can Get There, with Jana Schaich Borg and Vincent Conitzer in 2024. Zoom: Link: https://videoconf-colibri.zoom.us/j/98415196784?pwd=a3dHbmF4VzlTaVczWTB6QzVCZjMyZz09 Meeting ID: 984 1519 6784 Passcode: 765321 More info: https://trustaimedicine.weebly.com/rtaim-seminars.html We are also happy to announce that the Call for Abstract for the 3rd International Conference on the Ethics of Artificial Intelligence that will happen in the S?o Miguel Islands in the Azores (Portugal), between 19-25 September 2024 (online and in-person), is OPEN for submissions (notifications of acceptance/rejectance) are given in 7-10 days). You can find the information related to the 3ICEAI here: https://trustaimedicine.weebly.com/3iceai.html Sincerely, Organizer -------------- next part -------------- An HTML attachment was scrubbed... URL: From steve at bu.edu Thu Jun 13 11:00:51 2024 From: steve at bu.edu (Grossberg, Stephen) Date: Thu, 13 Jun 2024 15:00:51 +0000 Subject: Connectionists: Workshop CFP - Human Aligned AI: Towards Algorithms that Humans Can Trust In-Reply-To: <5AB99DF4-5EE1-4BEC-BDBB-4152BC102345@unige.it> References: <5AB99DF4-5EE1-4BEC-BDBB-4152BC102345@unige.it> Message-ID: Dear Antonio and colleagues, I just saw the announcement below of your workshop on Human Aligned AI, notably your statement that: ?The rapid advancement of Artificial Intelligence (AI) brings forth critical considerations for its trustworthiness, including safety and security, fairness, privacy, and explainability, demanding a human-aligned approach? [boldface mine]. I am writing to call to the attention of your attendees that there is already a human-aligned solution to this problem that has been available for several decades. The following article discusses this problem and a solution to it: Grossberg, S. (2020). A path towards Explainable AI and autonomous adaptive intelligence: Deep Learning, Adaptive Resonance, and models of perception, emotion, and action. Frontiers in Neurobotics, June 25, 2020. https://www.frontiersin.org/articles/10.3389/fnbot.2020.00036/full The Abstract of the article explains the extent to which a trustworthy and explainable biological neural network solution of the problem exists: ?Biological neural network models whereby brains make minds help to understand autonomous adaptive intelligence. This article summarizes why the dynamics and emergent properties of such models for perception, cognition, emotion, and action are explainable, and thus amenable to being confidently implemented in large-scale applications. Key to their explainability is how these models combine fast activations, or short-term memory (STM) traces, and learned weights, or long-term memory (LTM) traces. Visual and auditory perceptual models have explainable conscious STM representations of visual surfaces and auditory streams in surface-shroud resonances and stream-shroud resonances, respectively. Deep Learning is often used to classify data. However, Deep Learning can experience catastrophic forgetting: At any stage of learning, an unpredictable part of its memory can collapse. Even if it makes some accurate classifications, they are not explainable and thus cannot be used with confidence. Deep Learning shares these problems with the back propagation algorithm, whose computational problems due to non-local weight transport during mismatch learning were described in the 1980s. Deep Learning became popular after very fast computers and huge online databases became available that enabled new applications despite these problems. Adaptive Resonance Theory, or ART, algorithms overcome the computational problems of back propagation and Deep Learning. ART is a self-organizing production system that incrementally learns, using arbitrary combinations of unsupervised and supervised learning and only locally computable quantities, to rapidly classify large non-stationary databases without experiencing catastrophic forgetting. ART classifications and predictions are explainable using the attended critical feature patterns in STM on which they build. The LTM adaptive weights of the fuzzy ARTMAP algorithm induce fuzzy IF-THEN rules that explain what feature combinations predict successful outcomes. ART has been successfully used in multiple large-scale real-world applications, including remote sensing, medical database prediction, and social media data clustering. Also explainable are the MOTIVATOR model of reinforcement learning and cognitive-emotional interactions, and the VITE, DIRECT, DIVA, and SOVEREIGN models for reaching, speech production, spatial navigation, and autonomous adaptive intelligence. These biological models exemplify complementary computing and use local laws for match learning and mismatch learning that avoid the problems of Deep Learning.? Best, Steve Stephen Grossberg Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Emeritus Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg/ steve at bu.edu http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://sites.bu.edu/steveg/files/2021/08/Grossberg-CV-8-14-21.pdf https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4 https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 From: Connectionists on behalf of Antonio Cin? Date: Thursday, June 13, 2024 at 10:21?AM To: connectionists at mailman.srv.cs.cmu.edu , aixia at aixia.it , Martina Mattioli , Teresa Scantamburlo Subject: Connectionists: Workshop CFP - Human Aligned AI: Towards Algorithms that Humans Can Trust [Apologies if you receive multiple copies of this CFP] Call for papers: Workshop on "Human Aligned AI: Towards Algorithms that Humans Can Trust" at ICMLA 2024 - https://www.icmla-conference.org/icmla24/workshops.html Accepted papers will be included in the main conference proceedings. International Conference on Machine Learning and Applications (ICMLA 2024). 18-20 December 2024, Miami, Florida, USA - https://www.icmla-conference.org/icmla24/ DESCRIPTION: The rapid advancement of Artificial Intelligence (AI) brings forth critical considerations for its trustworthiness, including safety and security, fairness, privacy, and explainability, demanding a human-aligned approach. This workshop discusses the imperative for embedding these principles in the design and deployment of AI systems to ensure they align with human values and societal norms. We examine the challenges and strategies towards developing trustworthy AI, preventing unintended consequences, and addressing potential security vulnerabilities. Furthermore, we argue the necessity for a framework for the responsible development of AI, advocating for interdisciplinary collaboration and regulatory oversight. The goal is to foster AI technologies that enhance human well-being, uphold privacy and dignity, and contribute to a secure and equitable future. TOPICS OF INTEREST: Trustworthy AI - Adversarial attacks and defenses on machine learning and deep learning - Formal verification of machine learning and deep learning models - Privacy-preserving machine learning and deep learning - Explainability and Fairness - Theoretical foundations of Human Aligned AI Applications of Trustworthy AI - Generative AI - Healthcare - Cybersecurity - Transportation - Robotics - Industry SUBMISSION: Prospective authors must submit their paper through the ICMLA portal following the instructions provided in https://www.icmla-conference.org/icmla24/howtosubmit.html selecting "Workshop: Human Aligned AI: Towards Algorithms that Humans Can Trust". Each paper will undergo a peer-reviewing process for its acceptance. IMPORTANT DATES: Submission of papers: 31 July 2024 Notification of acceptance: 31 August 2024 ICMLA conference: 18-20 December 2024 https://www.icmla-conference.org/icmla24/keydates.html SPECIAL SESSION ORGANISERS: Luca Oneto, University of Genoa Battista Biggio, University of Cagliari Noemi Greco, Google Davide Anguita, University of Genoa Fabio Roli, University of Genoa Maura Pintor, University of Cagliari Luca Demetrio, University of Genoa Antonio Emanuele Cin?, University of Genoa Ambra Demontis, University of Cagliari ACKNOWLEDGEMENTS: ELSA Project https://www.elsa-ai.eu/ Antonio Emanuele Cin? Assistant Professor @ University of Genoa, DIBRIS Via All'Opera Pia, 13, 16145 Genova GE -------------- next part -------------- An HTML attachment was scrubbed... URL: From hongzhi.kuai at gmail.com Thu Jun 13 23:57:34 2024 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Fri, 14 Jun 2024 12:57:34 +0900 Subject: Connectionists: CfPs: Brain Informatics 2024 [July 20, 2024] Message-ID: +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 17th International Conference on Brain Informatics (BI'24) December 13-15, 2024 | Bangkok, Thailand The key theme: Brain Science meets Artificial Intelligence A hybrid conference with both online and offline modes History of BI: www.youtube.com/watch?v=Y2s78IIN-CQ Conference homepage: wi-consortium.org/conferences/bi2024/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - 30 June 2024: Workshop/Special Session Proposal Submission Deadline - 20 July 2024: Full Paper Submission Deadline - 20 August 2024: Abstract Presentation Submission Deadline Paper Submission System: https://wi-lab.com/cyberchair/2024/bi24/scripts/submit.php?subarea=B Workshop Website: https://wi-consortium.org/conferences/bi2024/workshops%20special%20sessions.html Sponsored By: IEEE Computer Society Technical Committee on Intelligent Informatics (TCII: https://www.computer.org/communities/technical-committees/tcii) Web Intelligence Consortium (WIC: https://wi-consortium.org/) King Mongkut's University of Technology Thonburi, Thailand (KMUTT: https://www.kmutt.ac.th/en/) Asia-Pacific Neural Network Society (APNNS) IEEE-CIS Brain Informatics Task Force IEEE-CIS Thailand Chapter CAAI Technical Committee on Brain Science and Artificial Intelligence Chinese Society for Cognitive Science Springer Nature ***Keynote Speakers*** https://wi-consortium.org/conferences/bi2024/keynote%20speakers.html - Professor Hanchuan Peng Allen Institute for Brain Science, USA - Professor Ramesh Srinivasan University of California, Irvine, USA - Professor Kenji Doya OIST Graduate University, Japan more to be confirmed. ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 17th International Conference on Brain Informatics (BI'24) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'24 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High-quality BI conference papers may be nominated to submit an extended version for a fast-track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. *** Paper Submission and Publications *** 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines). Overlength pages will be charged 100$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full-length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain). Abstract Submission (Only for Workshops/Special Sessions): Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'24 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 30 June 2024: Workshop/Special session Proposal Deadline * 20 July 2024: Full Paper Submission Deadline * 20 August 2024: Abstract Presentation Submission Deadline * 10 September 2024: Final Paper and Abstract Acceptance Notification * 30 September 2024: Accepted Paper and Abstract Registration Deadline * 13-15 December 2024: The Brain Informatics Conference Organizing Committee ++++++++++++++++++ Honorary Chairs * Lin Chen, Institute of Biophysics, Chinese Academy of Sciences (CAS), China * Suvit Saetia, President, King Mongkut's University of Technology Thonburi (KMUTT), Thailand General Chairs * Sirawaj Itthipuripat, KMUTT, Thailand * Giorgio Ascoli, George Mason University, USA * Anan Li, Huazhong University of Science and Technology, China Program Chairs * Nirun Pat, University of Otago, New Zealand * Claudio Angione, Teesside University, UK * Chaipat Chunharas, Chulalongkorn University, Thailand * Liya Ding, Southeast University, China * Peipeng Liang, CNU School of Psychology, China * Hieu Pham, VinUniversity, Vietnam Poster Session Chairs * Nguyen The Hoang Anh, Vietnam Academy of Science and Technology, Vietnam * Itthi Chatnuntawech, National Nanotechnology Center, Thailand * Tai Chaiamarit, Mahidol University, Thailand * Ioannis Pappas, University of Southern California, USA Workshop/Special Session Chairs * Lalitta Suriya-Arunroj, Chulalongkorn University, Thailand * Sittiprapa Isarangura, Mahidol University, Thailand * Lijuan Liu, Southeast University, China * Stephanie Nelli, Occidental College, USA * Nuttida Rungratsameetaweemana, Columbia University, USA * Shuqiang Wang, Shenzhen Institute of Advanced Technology, CAS, China Tutorial Chairs * Xiaofu He, Columbia University, USA * Thitaporn Chaisilprungraung, KMUTT, Thailand * Thiparat Chotibut, Chulalongkorn University, Thailand Financial Chair * Vajirasak Vanijja, KMUTT, Thailand Local Organizing Chairs * Duanghathai Wiwatratana, KMUTT, Thailand * Kanda Lertladaluck, KMUTT, Thailand * Kajornvut Ounjia, KMUTT, Thailand * Sarigga Pongsuwan, Research and Innovation Sustainability Center, Thailand * Kejkeaw Thanasuan, KMUTT, Thailand Publicity Chairs * Titipat Achakulvisut, Mahidol University, Thailand * Hongzhi Kuai, Maebashi Institute of Technology, Japan * Annalisa Occhipinti, Teesside University, UK Publication Chair * Hongzhi Kuai, Maebashi Institute of Technology, Japan Advisory Board ** Chair: Ning Zhong, Maebashi Institute of Technology, Japan * Jonathan Chan, KMUTT, Thailand * Tianzi Jiang, Institute of Automation, CAS, China * Nikola Kasabov, Auckland University of Technology, New Zealand * Hesheng Liu, MGH, Harvard Medical School, USA * Guoming Luan, Sanbo Brain Hospital, China * Mufti Mahmud, Nottingham Trent University, UK * Hanchuan Peng, SEU-Allen Institute for Brain & Intelligence, China * Stefano Panzeri, University Medical Center Hamburg-Eppendorf, Germany * Shinsuke Shimojo, California Institute of Technology, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Fri Jun 14 04:15:58 2024 From: Francesco.Rea at iit.it (Francesco Rea) Date: Fri, 14 Jun 2024 08:15:58 +0000 Subject: Connectionists: [jobs] PhD position in Cognitive-inspired architectural approach for AI in human-robot @ Italian Institute of Technology (IIT) Message-ID: PhD Position in Cognitive-inspired architectural approach for AI in human-robot interaction @ Italian Institute of Technology (IIT) In the spirit of the doctoral School on Bioengineering and Robotics (https://biorob.phd.unige.it/how-to-apply), the PhD Program for the curriculum "Cognitive Robotics, Interaction and Rehabilitation Technologies" provides interdisciplinary training at the interface between technology and life-sciences. The CONTACT Research Line is coordinated by Alessandra Sciutti, who has extensive experience in Cognitive Architecture for Human Robot Interaction. Description: Cognitive-based computer vision refers to models that can achieve the classical computer vision functionalities - detection, localization, recognition, and understanding - with goal-directed behaviour, the ability to adapt to unforeseen changes in the environment and anticipate the presence of objects and the occurrence of events and actions. The integration of vision with multisensory information (including auditory, haptic and tactile perception) and a proactive approach to the acquisition of novel experiences supported by a cognitive architecture, endows a cognitive robot with the awareness of the physical and social environment. The multisensory and sensory-motor integration necessary to this aim can benefit from AI components that improve the capability of the artificial intelligent system to understand and interact with the world and others. The general goal of this project will be to develop the AI components of a cognitive architecture (such as action generation, memory, internal motivation, perception) endowing the humanoid robot iCub with the ability to interact with human partners, with a focus on multisensory perception for action understanding in dyadic or small groups interactions. Using machine learning techniques, the student will start from existing computational models in order to enable a robot to decode the interaction partners' action, intention, or internal states (mood or feeling) and to generate appropriate behaviours. The successful candidate will collaborate with an international network of researchers and partake to the sharing and convergence of multidisciplinary knowledge. Requirements: Degree in robotics, bioengineering, computer science, computer engineering, or related disciplines, attitude toward problem-solving, basic skills in C++ programming. A background in computer vision and machine learning is a relevant asset Contacts: Applicants are strongly encouraged to contact the prospective tutors before they submit their application: Francesco.Rea at iit.it, Alessandra.Sciutti at iit.it, Giulio.Sandini at iit.it Application's deadline: The 2024 Doctorate First Call will close on July 9th 2024 at 12 noon (CET) -------------- next part -------------- An HTML attachment was scrubbed... URL: From max.garagnani at gmail.com Fri Jun 14 10:24:53 2024 From: max.garagnani at gmail.com (Max Garagnani) Date: Fri, 14 Jun 2024 14:24:53 +0000 Subject: Connectionists: Last few places on the MSc in Computational Cognitive Neuroscience, Goldsmiths (London, UK) Message-ID: Last few places available on the ******************************************************************************** MSc in COMPUTATIONAL COGNITIVE NEUROSCIENCE at Goldsmiths, University of London (UK) ******************************************************************************** for FULL- and PART-time studies in 2024-25. The course builds on the multi-disciplinary and strong research profiles of our Computing and Psychology Departments staff. It equips students with a solid theoretical basis and experimental techniques in computational cognitive neuroscience, providing them also with an opportunity to apply their newly acquired knowledge in a practical research project, which may be carried out in collaboration with one of our industry partners (see below). Applications range from computational neuroscience and machine learning to brain-computer interfaces to experimental and clinical research. For more INFORMATION about the course, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ HOW TO APPLY: ============= Submitting an online application is easy and entirely free of cost. Simply click on THIS LINK and follow the instructions. COURSE OUTLINE: =============== This is a one-year full-time or two-years part-time Masters programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for full-time studies). It is designed for students with a good degree in the biological / life sciences (psychology, neuroscience, biology, medicine, etc.) or physical sciences (computer science, mathematics, physics, engineering), however, individuals with different backgrounds but equivalent experience will also be considered. The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out in house or in collaboration with an external partner, either from academia or industry. For samples of previous students' MSc projects , visit: https://coconeuro.com/index.php/student-projects/ LINKS WITH INDUSTRY: ==================== The programme benefits from an ongoing collaborative partnership with different international companies having headquarters in the UK, the EU, and Japan. Carrying out your final research project with one of our industry partners will enable you to acquire cutting-edge skills much in demand on the job market, providing a fast-track route towards post-master's internships and employment. For examples of career paths taken by our graduates, and to read what they have to say about this course, visit: https://coconeuro.com/index.php/alumni/ For any further information, including entry requirements, fees and funding opportunities, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ https://www.gold.ac.uk/pg/fees-funding/ For any other specific questions, please do not hesitate to get in touch. Max Garagnani, PhD. PhD. -- Joint Programme Director, MSc in Computational Cognitive Neuroscience Senior Lecturer in Computer Science Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW, UK https://www.gold.ac.uk/computing/people/garagnani-max/ ******************************************************************************* -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Sat Jun 15 05:11:31 2024 From: wanling.cai at tcd.ie (Wanling Cai) Date: Sat, 15 Jun 2024 09:11:31 +0000 Subject: Connectionists: ACM UMAP 2024 | Standard Registration until 21 June Message-ID: * We apologize if you receive multiple copies of this email * * Online version: https://www.um.org/umap2024/registration/ ACM UMAP 2024 ? Standard Registration until 21 June ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 ACM UMAP ? User Modeling, Adaptation and Personalization ? is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP is the successor to the biennial User Modeling (UM) and Adaptive Hypermedia and Adaptive Web-based Systems (AH) conferences that were merged in 2009. It is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the Steering Committee. Proceedings are published by ACM and part of the ACM Digital Library. ACM UMAP 2024 is organized as an in-presence event, with online attendance support only during workshops and tutorials (i.e., the main conference will be run fully in-presence). Only workshops and tutorials will be streamed. ACM UMAP 2024?s organizers seek to foster an accessible and inclusive conference. We recognize that attendees have differing abilities to pay, and have instituted a tiered pricing program to accommodate different financial needs. Thanks for your interest in UMAP 2024! Please read the information link below carefully regarding costs and deadlines. * Registration information: https://www.um.org/umap2024/registration/ - Standard Registration until June 21, 2024 - Onsite Registration By July 4, 2024 * Registration Link: https://cvent.me/ekykDz Contact Information If you have any questions or enquiries, please contact: umap2024-chair at um.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernabe at imse-cnm.csic.es Sat Jun 15 04:26:00 2024 From: bernabe at imse-cnm.csic.es (=?UTF-8?Q?Bernab=C3=A9_Linares-Barranco?=) Date: Sat, 15 Jun 2024 10:26:00 +0200 Subject: Connectionists: postdoc, PhD student, and Engineer/Technician positions at IMSE Neuromorphic Group for Analog and/or Digital Circuit Design Message-ID: The neuromorphic group (www.imse-cnm.csic/neuromorphs) at the Sevilla Microelectronics Institute (www.imse-cnm.csic.es) has openings for postdoc, predoc, and engineer/technician in analog and/or digital circuit design. For more info please check out the detailed posts at: http://www2.imse-cnm.csic.es/neuromorphs/data/_uploaded/file/PostDoc_2024.pdf http://www2.imse-cnm.csic.es/neuromorphs/data/_uploaded/file/PreDoc_2024.pdf http://www2.imse-cnm.csic.es/neuromorphs/data/_uploaded/file/Eng_Tech_2024.pdf -- -------------- next part -------------- An HTML attachment was scrubbed... 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Name: firma_blb1.png Type: image/png Size: 62523 bytes Desc: not available URL: From kkpatel7 at gmail.com Fri Jun 14 09:34:12 2024 From: kkpatel7 at gmail.com (KK Patel) Date: Fri, 14 Jun 2024 19:04:12 +0530 Subject: Connectionists: [CFP] Springer icSoftComp2024 (Scopus indexed) (Springer CCIS) (Bangkok, Thailand) (December 10-12, 2024)(Hybrid Conference) External Message-ID: ** Sincere apologies if you receive multiple copies of this CFP ** ** Please forward to anyone who might be interested ** *==============* *CALL FOR PAPERS* *==============* *Springer* *Sixth International Conference on Soft Computing and its Engineering Applications (icSoftComp2024)* *Bangkok, Thailand **|| December 10-12, 2024* *Paper submission link:* https://equinocs.springernature.com/service/icSoftComp2024 *Conference website:* https://www.charusat.ac.in/icSoftComp2024/ *===========* *Important Notes:* *===========* - icSoftComp2024 follows a *double-blind peer review* system. - Conference proceedings by *Springer CCIS Series* (*Scopus* indexed) - Please follow the *Springer CCIS format* for paper submission. - The conference will be held in a *hybrid mode*: in-person and online - Authors of selected papers will be invited to submit extended article versions for a post-conference special issue of peer reviewed Scopus indexed journals. *==============* *About the conference:* *==============* 2024 6th International Conference on Soft Computing and its Engineering Applications (icSoftComp2024) aims to provide an excellent international forum to the researchers, academicians, students, and professionals in the areas of computer science and engineering to present their research, knowledge, new ideas and innovations. It will exhibit an exciting technical program. It will also feature high-quality Tutorials and Workshops, Industry Panels and Exhibitions, as well as Keynotes from prominent research and industry leaders. We are now open for technical paper submission, proposals for workshops/special sessions, and proposals for tutorials. *=================* *Keynotes and invited talks:* *=================* - Prof. Bharat Bhargava, Purdue University, Indiana, USA - Massimiliano Cannata, SUPSI, Canobbio, Switzerland - Flora Ferreira, University of Minho, Portugal - Katarzyna Turo?, Silesian University of Technology, Poland - Chinthaka Premachandra, Shibaura Institute of Technology, Japan *=============== * *Organizing Committee:* *=============== * Honorary Chairs - Kalyanmoy Deb, Michigan State University, MI, USA - Witold Pedrycz, University of Alberta, Alberta, Canada - Leszek Rutkowski, Czestochowa University of Technology, Poland - Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland General Chairs - Atul Patel, Charotar University of Science and Technology, India - Dilip Kumar Pratihar, Indian Institute of Technology Kharagpur, India - Pawan Lingras, Saint Mary's University, Canada Technical Program Chairs - K. K. Patel, Charotar University of Science and Technology, India - Ashish Ghosh, Indian Statistical Institute (ISI), Kolkata, India - KC Santosh, The University of South Dakota, SD, USA - Gayatri Doctor, CEPT University, Ahmedabad, India - Gabriel Gomes de Oliveira, University of Campinas (Unicamp), Brazil - Ashis Jalote Parmar, Norwegian University of Science and Technology, Norway *============* *Paper Submission:* *============* icSoftComp2024 solicits papers on all aspects of Soft computing and its engineering applications for a smart and better world. The topics of the conference include, but are not limited to the following: *Track 1: Theory and Methods* Ant colony theory Approximate reasoning Artificial Intelligence (AI) Big Data analytics Bio-inspired computing Chaos theory Cognitive science Data mining and Knowledge discovery Deep learning Digital information processing Evolutionary computing Fuzzy set theory Immunological computing Knowledge virtualization Machine learning Modelling Neural computing Probabilistic reasoning Rough sets Swarm intelligence *Track 2: Systems and Applications* Advanced intelligent systems Agent-based systems Agricultural informatics Assistive systems Autonomic and autonomous systems Bioinformatics and scientific computing Cognitive systems and applications Complex systems Computer forensics Cyber Physical Systems (CPS) Human computer integration Internet of Things (IoT) Intrusion detection and Security intelligence Mechatronics Multi-agent systems Natural language processing Network and telecommunications systems Optimization Pattern recognition Process control Remote sensing system Robotics Signal processing Time series forecasting Web intelligence *Track 3: Hybrid Techniques* Auxiliary hybridization Embedded hybridization Fuzzy-genetic approach Neuro-evolutionary computing Neuro-fuzzy computing Sequential hybridization *Track 4: Soft Computing for Smart Sustainable World* Smart cities Smart governance Smart healthcare Smart homes and buildings Smart social services Smart transportation Smart utilities Smart vehicles Smart villages *===========* *Important Dates:* *===========* Submission due: 30/06/2024 Acceptance Notification: 31/07/2024 Camera Ready Paper Submission due: According to notification Last date of registration: According to notification Conference dates: 10-12/12/2024 *============* *Paper Publication:* *============* The accepted and presented papers will be published as proceedings with Springer in their prestigious Communications in Computer and Information Science (CCIS) series. Indexed by Scopus, DBLP, Ei Compendex, Google Scholar, and Springerlink *=============* *Journal Publication:* *=============* Authors of selected papers will be invited to submit extended article versions for a post-conference special issue of peer-reviewed journals. If you have PhD degree and if you want to join as Technical Program Committee (TPC) member then please fill this Google form: https://forms.gle/2T6EwDeUUTWxuX9Q6 Charotar University of Science and Technology (CHARUSAT) (Center of Excellence by Govt. of Gujarat) (Accredited "A+" grade by NAAC, GoI) Changa, India warm regards, K. K. Patel, Ph.D. Cell#: +91-820 010 3724 https://www.charusat.ac.in/icSoftComp2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Jun 15 04:53:14 2024 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 15 Jun 2024 10:53:14 +0200 (CEST) Subject: Connectionists: DeepLearn 2024: regular registration July 12 Message-ID: <2072255781.126929.1718441594455@webmail.strato.com> ****************************************************** 11th INTERNATIONAL SCHOOL ON DEEP LEARNING (and the Future of Artificial Intelligence) DeepLearn 2024 Porto ? Maia, Portugal July 15-19, 2024 https://deeplearn.irdta.eu/2024/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************** Regular registration: July 12, 2024 ****************************************************** SCOPE: DeepLearn 2024 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth, Bari and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, etc. etc. The field is also raising a number of relevant questions about robustness of the algorithms, explainability, transparency, and important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed, and main challenges identified through 16 four-hour and a half courses, 2 keynote lectures, 1 round table and a few hackathon-type competitions among students, which will tackle the most active and promising topics. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2024 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2024 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Cast?lo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their technical developments for 10 minutes. This year?s edition of the school will schedule hands-on activities including mini-hackathons, where participants will work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Jiawei Han (University of Illinois Urbana-Champaign), How Can Large Language Models Contribute to Effective Text Mining? Katia Sycara (Carnegie Mellon University), Effective Multi Agent Teaming PROFESSORS AND COURSES: Luca Benini (Swiss Federal Institute of Technology Zurich), [intermediate/advanced] Open Hardware Platforms for Edge Machine Learning Gustau Camps-Valls (University of Val?ncia), [intermediate] AI for Earth, Climate, and Sustainability Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Introduction to Representation Learning on Graphs Daniel Cremers (Technical University of Munich), [introductory/advanced] Deep Networks for 3D Computer Vision Peng Cui (Tsinghua University), [intermediate/advanced] Stable Learning for Out-of-Distribution Generalization: Invariance, Causality and Heterogeneity Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-End Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware Yulan He (King?s College London), [introductory/intermediate] Machine Reading Comprehension with Large Language Models Frank Hutter (University of Freiburg), [intermediate/advanced] AutoML George Karypis (University of Minnesota), [intermediate/advanced] Optimizing LLM Inference Hermann Ney (RWTH Aachen University / AppTek), [intermediate/advanced] Machine Learning and Deep Learning for Speech & Language Technology: A Probabilistic Perspective Massimiliano Pontil (Italian Institute of Technology), [intermediate/advanced] Operator Learning for Dynamical Systems Elisa Ricci (University of Trento), [intermediate] Continual and Adaptive Learning in Computer Vision Wojciech Samek (Fraunhofer Heinrich Hertz Institute / Technical University of Berlin), [introductory/intermediate] From Feature Attributions to Next-Generation Explainable AI Xinghua Mindy Shi (Temple University), [introductory/intermediate] Trustworthy Machine Learning for Human Health and Medicine Michalis Vazirgiannis (?cole Polytechnique), [intermediate/advanced] Graph Machine Learning and Multimodal Graph Generative AI James Zou (Stanford University), [introductory/intermediate] Large Language Models and Biomedical Applications [videorecorded] OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 7, 2024. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 7, 2024. HACKATHONS: Hackathons will take place, where participants will work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer. The challenges will be released 2 weeks before the beginning of the school. A jury will judge the submissions and the winners of each challenge will be announced on the final day. The winning teams will receive a small prize and the runners-up will get a certificate. EMPLOYERS: Organizations searching for personnel well skilled in deep learning will be provided a space for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 7, 2024. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2024/sponsoring/ ORGANIZING COMMITTEE: Jos? Paulo Marques dos Santos (Maia, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) Jos? Lu?s Reis (Maia) Lu?s Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2024/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://deeplearn.irdta.eu/2024/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at msu.edu Sat Jun 15 10:29:19 2024 From: weng at msu.edu (Weng, Juyang) Date: Sat, 15 Jun 2024 14:29:19 +0000 Subject: Connectionists: Ensemble computing In-Reply-To: References: Message-ID: Dear Gabriele Scheler, You wrote, "Each symbol stands for one pattern". This is an invalid statement, meaningless in mathematics and computer science. (1) I suggest that you review the term One-to-One correspondence required for symbolic representations in discrete mathematics and computer science (like Turing machines). (2) Counter Example 1: While my brain senses your face, many neurons in my brain will fire. Do they stand for the same pattern (your face)? This means one-to-many mapping, defeating the one-to-one correspondence in (1). (3) Counter Example 2: While my brain senses your face at different viewing angles, distances, and lighting conditionss, my motor neurons will fire to produce Gabriele Scheler. Any of motor neurons stand for many patterns of your face, not only "one pattern". This means many-to-one mapping, defeating the one-to-one correspondence in (1). With the above proof, "Each symbol stands for one pattern" is meaningless in mathematics and computer science. Best regards, -John Weng On Sat, Jun 15, 2024 at 9:46?PM Gabriele Scheler wrote: > Oh st simpkicissismus. > >Symbolic neurons have connections with each other. Each symbol stands for one pattern. They also have >connections with their feature patterns. But we compute with the symbolic neurons alone. There are no >examples given for that. > >So by computing with symbolic neurons we can use exact reasoning. But when we want to know the >meaning of a symbol we can then turn to their features. The clever part - since you have trouble reading - is >that we can use only the symbolic neurons, we do not ha e to stimulate them in a way that their feature >parts become active. In that case, 1 symbol, 1 neuron. ________________________________ From: Connectionists on behalf of Gabriele Scheler Sent: Monday, June 10, 2024 8:03 AM To: connectionists at mailman.srv.cs.cmu.edu Subject: Connectionists: Ensemble computing This paper may be relevant to the discussion on symbolic computing in the brain. https://www.biorxiv.org/content/10.1101/2023.12.22.573036v2 It leverages ideas about ensembles in the brain and outlines a basic scheme for symbolic abstraction . Gabriele -- Dr. Gabriele Scheler Carl Correns Foundation for Mathematical Biology 1030 Judson Dr Mountain View, CA 94040 https://www.theoretical-biology.org Please re-send an email if I fail to respond. -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at msu.edu Sat Jun 15 10:29:38 2024 From: weng at msu.edu (Weng, Juyang) Date: Sat, 15 Jun 2024 14:29:38 +0000 Subject: Connectionists: Ensemble computing Message-ID: Dear Gabriele Scheler, You wrote, "Each symbol stands for one pattern". This is an invalid statement, meaningless in mathematics and computer science. (1) I suggest that you review the term One-to-One correspondence required for symbolic representations in discrete mathematics and computer science (like Turing machines). (2) Counter Example 1: While my brain senses your face, many neurons in my brain will fire. Do they stand for the same pattern (your face)? This means one-to-many mapping, defeating the one-to-one correspondence in (1). (3) Counter Example 2: While my brain senses your face at different viewing angles, distances, and lighting conditionss, my motor neurons will fire to produce Gabriele Scheler. Any of motor neurons stand for many patterns of your face, not only "one pattern". This means many-to-one mapping, defeating the one-to-one correspondence in (1). With the above proof, "Each symbol stands for one pattern" is meaningless in mathematics and computer science. Best regards, -John Weng On Sat, Jun 15, 2024 at 9:46?PM Gabriele Scheler wrote: > Oh st simpkicissismus. > >Symbolic neurons have connections with each other. Each symbol stands for one pattern. They also have >connections with their feature patterns. But we compute with the symbolic neurons alone. There are no >examples given for that. > >So by computing with symbolic neurons we can use exact reasoning. But when we want to know the >meaning of a symbol we can then turn to their features. The clever part - since you have trouble reading - is >that we can use only the symbolic neurons, we do not ha e to stimulate them in a way that their feature >parts become active. In that case, 1 symbol, 1 neuron. ________________________________ From: Connectionists on behalf of Gabriele Scheler Sent: Monday, June 10, 2024 8:03 AM To: connectionists at mailman.srv.cs.cmu.edu Subject: Connectionists: Ensemble computing This paper may be relevant to the discussion on symbolic computing in the brain. https://www.biorxiv.org/content/10.1101/2023.12.22.573036v2 It leverages ideas about ensembles in the brain and outlines a basic scheme for symbolic abstraction . Gabriele -- Dr. Gabriele Scheler Carl Correns Foundation for Mathematical Biology 1030 Judson Dr Mountain View, CA 94040 https://www.theoretical-biology.org Please re-send an email if I fail to respond. -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at msu.edu Sat Jun 15 10:27:53 2024 From: weng at msu.edu (Weng, Juyang) Date: Sat, 15 Jun 2024 14:27:53 +0000 Subject: Connectionists: Ensemble computing In-Reply-To: References: Message-ID: Dear Gabriele Scheler, You wrote, "Each symbol stands for one pattern". This is an invalid statement, meaningless in mathematics and computer science. (1) I suggest that you review the term One-to-One correspondence required for symbolic representations in discrete mathematics and computer science (like Turing machines). (2) Counter Example 1: While my brain senses your face, many neurons in my brain will fire. Do they stand for the same pattern (your face)? This means one-to-many mapping, defeating the one-to-one correspondence in (1). (3) Counter Example 2: While my brain senses your face at different viewing angles, distances, and lighting conditionss, my motor neurons will fire to produce Gabriele Scheler. Any of motor neurons stand for many patterns of your face, not only "one pattern". This means many-to-one mapping, defeating the one-to-one correspondence in (1). With the above proof, "Each symbol stands for one pattern" is meaningless in mathematics and computer science. Best regards, -John Weng On Sat, Jun 15, 2024 at 9:46?PM Gabriele Scheler wrote: Oh st simpkicissismus. Symbolic neurons have connections with each other. Each symbol stands for one pattern. They also have connections with their feature patterns. But we compute with the symbolic neurons alone. There are no examples given for that. So by computing with symbolic neurons we can use exact reasoning. But when we want to know the meaning of a symbol we can then turn to their features. The clever part - since you have trouble reading - is that we can use only the symbolic neurons, we do not ha e to stimulate them in a way that their feature parts become active. In that case, 1 symbol, 1 neuron. ________________________________ From: Connectionists on behalf of Gabriele Scheler Sent: Monday, June 10, 2024 8:03 AM To: connectionists at mailman.srv.cs.cmu.edu Subject: Connectionists: Ensemble computing This paper may be relevant to the discussion on symbolic computing in the brain. https://www.biorxiv.org/content/10.1101/2023.12.22.573036v2 It leverages ideas about ensembles in the brain and outlines a basic scheme for symbolic abstraction . Gabriele -- Dr. Gabriele Scheler Carl Correns Foundation for Mathematical Biology 1030 Judson Dr Mountain View, CA 94040 https://www.theoretical-biology.org Please re-send an email if I fail to respond. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pranav.nerurkar at utkarshminds.com Sat Jun 15 22:32:27 2024 From: pranav.nerurkar at utkarshminds.com (PRANAV NERURKAR) Date: Sun, 16 Jun 2024 08:02:27 +0530 Subject: Connectionists: =?utf-8?q?=5BCourses=5D_Cours_en_ligne_=3A_Test_d?= =?utf-8?b?J2h5cG90aMOoc2Ugw6AgZGV1eCDDqWNoYW50aWxsb25zIChPbmxpbmUg?= =?utf-8?q?Training_and_Internship=3A_Two_Sample_Hypothesis_Testing?= =?utf-8?q?=29?= Message-ID: Salutations de l'Institut Utkarsh Minds. Nous sommes heureux d'annoncer que l'Institut Utkarsh Minds organise un programme de stage de deux mois sur Python pour le test d'hypoth?ses statistiques. ? Dates : du 1er juillet au 31 ao?t 2024 ? Intervenants : Experts du monde acad?mique et de l'industrie ? Les participants int?ress?s sont invit?s ? s'inscrire. Lien d'inscription : https://internships.utkarshminds.com/ ? Frais d'inscription : seulement Rs. 99/- ? Date limite d'inscription : 25 juin 2024 ? Comit? d'organisation : Pranav Nerurkar pranav.nerurkar at utkarshminds.com +91 9619997797 Nous attendons avec impatience votre participation active. Cordialement, Institut Utkarsh Minds Stage en ligne : Test d'hypoth?se ? deux ?chantillonsDescription : Rejoignez notre programme de stage en ligne complet ax? sur le test d'hypoth?se ? deux ?chantillons, con?u pour les ?tudiants d?sireux de se plonger dans le monde de l'analyse statistique et de la programmation. Ce stage offre un m?lange unique d'apprentissage th?orique et d'application pratique, fournissant aux participants une compr?hension solide du test d'hypoth?se ? l'aide de donn?es r?elles. Principales caract?ristiques : 1. *Cours vid?o interactifs* : - Apprenez les fondamentaux du test d'hypoth?se ? deux ?chantillons gr?ce ? des cours vid?o captivants et informatifs. - Comprenez les concepts cl?s tels que les hypoth?ses nulle et alternative, les tests t, les tests z, les valeurs p et les intervalles de confiance. 2. *Travaux pratiques de codage* : - Appliquez les connaissances th?oriques acquises lors des cours en r?alisant des travaux pratiques de codage dans des langages tels que Python ou R. - Travaillez sur des jeux de donn?es r?els pour vous exercer ? formuler des hypoth?ses, ? effectuer des tests statistiques et ? interpr?ter les r?sultats. - B?n?ficiez de conseils pas ? pas pour ?crire et d?boguer le code afin d'assurer une analyse pr?cise et efficace. 3. *Applications pratiques* : - Explorez diverses ?tudes de cas et exemples illustrant l'application du test d'hypoth?se ? deux ?chantillons dans diff?rents domaines tels que la sant?, la finance, le marketing, et plus encore. - Participez ? des projets imitant des sc?narios r?els o? le test d'hypoth?se est crucial pour la prise de d?cision. 4. *Mentorat et soutien* : - Recevez un mentorat de la part de statisticiens et de data scientists exp?riment?s. - Participez ? des sessions de questions-r?ponses et ? des forums de discussion pour clarifier vos doutes et enrichir votre exp?rience d'apprentissage. 5. *Certification* : - Obtenez un certificat ? l'issue de ce stage, attestant de vos comp?tences et connaissances en test d'hypoth?se ? deux ?chantillons. - Ajoutez cette pr?cieuse comp?tence ? votre CV ou ? votre profil LinkedIn pour renforcer vos perspectives de carri?re. Exigences : - Compr?hension de base des statistiques et de la programmation. - Un ordinateur avec acc?s ? internet. - Volont? d'apprendre et d'appliquer de nouveaux concepts. Dur?e : - Le stage est auto-rythm? et peut ?tre compl?t? en 4 ? 6 semaines, en fonction de votre emploi du temps et de votre rythme d'apprentissage. Greetings from Utkarsh Minds Institute! Thank you for showing interest in our Two-Month Internship Program on "Python for Statistical Hypothesis Testing." We noticed that you have signed up but have not yet completed your enrollment. We are excited about the opportunity to help you enhance your skills in this critical area and want to ensure you don't miss out on this valuable experience. ? *Program Dates:* 1st July to 31st August 2024 ? *Resource Persons:* Experts from Academia and Industry ? *Registration Fees:* Rs. 99/- only To complete your enrollment, please visit the following link and finalize your registration: https://internships.utkarshminds.com/ *Why Should You Enroll?* - *Comprehensive Curriculum:* Learn practical and theoretical aspects of Python for statistical hypothesis testing. - *Expert Guidance:* Get trained by professionals with extensive experience in the field. - *Affordable Fees:* Gain valuable skills for just Rs. 99. - *Career Advancement:* Enhance your resume and improve your job prospects. The last date for registration is 25th June 2024. Don't miss this chance to advance your skills and career prospects. If you have any questions or need assistance with the registration process, please feel free to reach out to us. *Contact Details:* Pranav Nerurkar Email: pranav.nerurkar at utkarshminds.com Phone: +919619997797 Online Internship: Two Sample Hypothesis TestingDescription: Join our comprehensive online internship program focusing on Two Sample Hypothesis Testing, designed for students eager to delve into the world of statistical analysis and coding. This internship offers a unique blend of theoretical learning and practical application, providing participants with a robust understanding of hypothesis testing using real-world data. Key Features: 1. *Interactive Video Lectures*: - Learn the fundamentals of Two Sample Hypothesis Testing through engaging and informative video lectures. - Understand key concepts such as null and alternative hypotheses, t-tests, z-tests, p-values, and confidence intervals. 2. *Hands-On Coding Assignments*: - Apply the theoretical knowledge gained from the lectures by completing coding assignments in languages such as Python or R. - Work on real datasets to practice setting up hypotheses, running statistical tests, and interpreting results. - Get step-by-step guidance on writing and debugging code to ensure accurate and efficient analysis. 3. *Practical Applications*: - Explore various case studies and examples that illustrate the application of Two Sample Hypothesis Testing in different fields such as healthcare, finance, marketing, and more. - Engage in projects that mimic real-life scenarios where hypothesis testing is crucial for decision-making. 4. *Mentorship and Support*: - Receive mentorship from experienced statisticians and data scientists. - Participate in Q&A sessions and discussion forums to clarify doubts and enhance your learning experience. 5. *Certification*: - Earn a certificate upon successful completion of the internship, showcasing your skills and knowledge in Two Sample Hypothesis Testing. - Add this valuable credential to your resume or LinkedIn profile to boost your career prospects. Requirements: - Basic understanding of statistics and programming. - A computer with internet access. - Willingness to learn and apply new concepts. Duration: - The internship is self-paced and can be completed within 4-6 weeks, depending on your schedule and pace of learning. *Pranav A. NERURKAR* Specialist - AI & Data science UTKARSH MINDS +91 961-999-77-97 pranav.nerurkar@ utkarshminds.com www.utkarshminds.com Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Internship.pdf Type: application/pdf Size: 644200 bytes Desc: not available URL: From francesca.naretto at sns.it Sun Jun 16 04:55:27 2024 From: francesca.naretto at sns.it (Francesca NARETTO) Date: Sun, 16 Jun 2024 10:55:27 +0200 Subject: Connectionists: DS2024 - one day left Message-ID: *** Apologies for cross-posting *** Only ONE DAY LEFT FOR ABSTRACTS 27th International Conference on Discovery Science (DS2024) October 14-16, 2024, Pisa, Italy http://ds2024.isti.cnr.it/index.html ***CALL FOR PAPER: MAIN RESEARCH TRACK*** Discovery Science 2024 conference provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The conference focus is on the use of Artificial Intelligence, Data Science and Big Data Analytics methods in science. Its scope includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, and big data analytics, as well as their application in various domains. Possible topics include, but are not limited to: - Artificial Intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science - Machine Learning: supervised learning (including ranking, multi-target prediction and structured prediction), unsupervised learning, semi-supervised learning, active learning, reinforcement learning, online learning, transfer learning, etc. - Knowledge Discovery and Data Mining - Anomaly and Outlier Detection - Time-Series Analysis - Spatial, Temporal and Spatiotemporal Data Analysis - Unstructured Data Analysis (textual and web data) - Data and Knowledge Visualization - Complex Network Analysis - Causal Modelling - Explainable AI and Interpretable Machine Learning - Human-Machine Interaction for Knowledge Discovery and Management - Data Streams, Evolving Data, Change Detection & Concept drift - AutoML, Meta-Learning, Planning to Learn - AI and High-performance Computing, Grid and Cloud Computing - AI and Cybersecurity - Computational Creativity - Learning from Complex Data - Process Discovery and Analysis - Evaluation of Models and Predictions in Discovery Setting - Applications of the above techniques in scientific domains, such as Physical sciences (e.g., materials sciences, particle physics), Life sciences (e.g., systems biology/systems medicine), Environmental sciences, Natural and social sciences ***INVITED SPEAKERS*** - Roberto Navigli, Sapienza University of Rome and Babelscape ? October 14th - Carlos Castillo, ICREA and Universitat Pompeu Fabra ? October 15th - Francesca Toni, Imperial College London ? October 16th ***IMPORTANT DATES*** Abstract submission (deadline): Monday June 3, 2024 Monday, June 17, 2024 Full paper submission (deadline): Monday, June 10, 2024 Monday, June 24, 2024 Notification of acceptance: Monday, July 22, 2024 Monday, August 12, 2024 Camera-ready version, author registration: Monday August 26, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION PROCEDURE*** Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 15 pages in the LNCS format. Submission of the camera-ready version of the paper has to include the authors? consent to publish on the above Springer LNCS website. Submissions will be reviewed following a single-blind procedure. Therefore, authors should include their names and affiliations in the paper. Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of DS? 2024. Submission System: https://cmt3.research.microsoft.com/DS2024/ Click on ?create a new submission? and select the DS2024 track. At least one of the authors must be a registered participant at the conference to present the work. ***SPECIAL ISSUE*** The authors of a number of selected papers presented at DS 2024 will be invited to submit extended versions of their papers for possible inclusion in a special issue of Machine Learning journal (published by Springer) on Discovery Science. Fast-track processing will be used to have them reviewed and published. ***BEST PAPER AWARD*** There will be a Best Student Paper Award in the value of 550 Eur sponsored by Springer, and a Best Paper Award in the value of 550 Eur sponsored by Fondazione Area. ***CALL FOR PAPER: SPECIAL TRACK SOBIGDATA*** SoBigData RI (www.sobigdata.eu) is a distributed, Pan-European, multi-disciplinary research infrastructure aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society. This year, Discovery Science and SoBigData RI, collaborate in order to have a special track. The topics are the same of the main track but focussed on experiments for the SoBigData research spaces: - Demography, Economy and Finance 2.0: traditional complex socio-economic financial systems in conjunction with emerging ones, in particular, block-chain & cryptocurrency markets and their applications such as smart property, Internet of things, energy trading, and smart contracts. - Disaster Response and Recovery: methods and tools to analyze, monitor, and improve post-disaster reconstruction processes in socio-economic areas, spatial planning, environmental health in cooperation with national and international institutions. - Health Studies: experiments addressing health-related issues, including medical, nutrition, environmental health and network medicine. It entails integrating multidisciplinary scientific research including machine learning techniques and AI technologies. - Pervasive Intelligence in Cyber-Physical Systems for Future Society: experiments on AI models for a dynamic and automatic allocation of resources capable of reacting to changes in services, application requirements, sustainability, and user-generated traffic. Specific attention will also be given to approaches based on the emulation of biological brain mechanisms, called Cyber-Physical systems, with the aim of creating a ?conscious system? able to self-control a large number of subsystems. - Societal Debates and Misinformation: experiments analyzing both discussions on social media and journalistic production to understand which are the most debated topics. - Next-Generation Internet: experiments investigating the effect of Next Generation Internet paradigms by developing user- and device-centric services for groups of mobile users based on direct communication between faredge devices, validating them in the same application areas. - Sustainable Cities for Citizens: experiments about the usage of mobile devices data, georeferenced social media data, or other spatio-temporal data to model human behavior and activities. - XAI: experiments on Explainable artificial intelligence systems, with a focus on the design and analysis of explanation methodologies to empower human understanding and trust. - Submitted paper must refer to a specific research space. Submitted papers must contain all the references to data and methods used in order to be accessible to the SoBigData community and to be published on the platform catalog (only in case of acceptance). Accepted papers will be published in DS2024 proceedings and disseminated through the research infrastructure channels. ***IMPORTANT DATES*** Abstract submission (deadline): Monday June 3, 2024 Monday, June 17, 2024 Full paper submission (deadline): Monday, June 10, 2024 Monday, June 24, 2024 Notification of acceptance: Monday, July 22, 2024 Monday, August 12, 2024 Camera-ready version, author registration: Monday August 26, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION PROCEDURE*** Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 15 pages in the LNCS format. Submission of the camera-ready version of the paper has to include the authors? consent to publish on the above Springer LNCS website. Submissions will be reviewed following a single-blind procedure. Therefore, authors should include their names and affiliations in the paper. Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of DS? 2024. Submission System: https://cmt3.research.microsoft.com/DS2024/ Click on ?create a new submission? and select the SoBigDataTrack. At least one of the authors must be a registered participant at the conference to present the work. ***BEST PAPER AWARD*** There will be a Best SoBigData Paper award in the value of 550 Eur sponsored by SoBigData. ***CALL FOR LATE BREAKING CONTRIBUTIONS *** The Posters Track complements the research track of the conference and offers an opportunity to present late-breaking results and showcase innovative implementations in an informal and interactive setting. During the Poster session authors are encouraged to directly connect with conference participants and engage in discussions about their work. We invite submissions relevant to Discovery Science and which address, but are not limited to, the topics of the Research Track. We also welcome work that has already been seen in other places but needs to be shared with the Discovery Science community. Authors of the research papers not accepted for the Research track can be invited to present their work via a poster in the Poster session to discuss their research and scientific contributions with the community and expand their network with other researchers. ***IMPORTANT DATES*** Submission due: Saturday June 22, 2024 Monday, July 15, 2024 Notification of acceptance: Saturday July 27, 2024 Monday, August 19, 2024 Camera-ready version (extended abstract), author registration: Monday, August 26, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION DETAILS*** Authors should submit an up-to two-page (excluding references) extended abstract for evaluation. All submissions must be written in English, using the PDF file format, following the formatting guidelines of the research track, and submitted electronically via the CMT submission system: https://cmt3.research.microsoft.com/DS2024/ Poster submissions should describe late-breaking research results, on-going research projects, or work-in-progress relevant to Discovery Science. Additional links to relevant resources are encouraged to be included in the submission. The submissions should not be anonymised. Each submission will be reviewed by 2 members of the Program Committee. All accepted posters will be available on the conference website. Authors are encouraged to link in the poster complementary materials (e.g. images, videos, code). Submission System: https://cmt3.research.microsoft.com/DS2024/ Click on ?create a new submission? and select the Paper Posters track. At least one of the authors must be a registered participant at the conference, and attend the Poster Session to present the work. All papers accepted at the poster session will be published as extended abstracts (up to 4 pages in LNCS format) in CEUR proceedings. ***CALL FOR CONTRIBUTIONS: DOCTORAL CONSORTIUM*** The Doctoral Consortium (DC) provides an opportunity to present and discuss their doctoral research ideas and progress in a supportive, formative and yet critical environment and receive feedback from reviewers, mentors and peers from the field of Discovery Science. The DC will also provide opportunities to network and build collaborations with other members of the Discovery Science community. We welcome submissions across research Discovery Science-related domains and which address, but are not limited to, the topics of the Research Track. The event is intended for early as well as middle/late-stage PhD candidates and asks them to formulate and submit a concrete PhD research proposal, preferably supported by some preliminary results. The proposal will be peer-reviewed. If accepted, students must register and physically attend the event to present their PhD research proposal in a Poster session. Details for the submission are found below under ?Submission Details?. ***IMPORTANT DATES*** Submission due: Saturday June 22, 2024 Monday, July 15, 2024 Notification of acceptance: Saturday July 27, 2024 Monday, August 19, 2024 Camera-ready version (extended abstract), author registration: Monday, August 26, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION DETAILS*** Authors should submit an up-to four-page (excluding references) description of their PhD research proposal. All submissions must be written in English, using the PDF file format, following the formatting guidelines of the research track, and submitted electronically via the CMT submission system: https://cmt3.research.microsoft.com/DS2024/ The papers should have a single author (the PhD candidate) and submissions are *not* anonymous. Supervisors, other involved persons, and funding agencies should be acknowledged in an Acknowledgements section. Research proposals (and if accepted, the Posters) should contain the following elements: - Context: The background and motivation for your research, including the related work that frames your research - Research questions/challenges: what are the research questions/challenges that your dissertation addresses? Try to highlight how it differs from existing literature. - Method/approach and evaluation: how is each of the research questions answered? How are results evaluated? If you are planning to conduct studies or build prototypes, provide a brief description. - Preliminary results (if available). Highlight results and contribution to date and the timeplan for projected steps. - Discussion and Future work: What are intermediary conclusions, and what are the planned next steps? All accepted research proposals will be presented in a Poster session. Posters and PDF documents will be available on the conference website. PhD students are encouraged to link in the poster complementary materials (e.g. images, videos, code). Submission System: https://cmt3.research.microsoft.com/DS2024/ Click on ?create a new submission? and select the Doctoral Consortium Poster track. At least one of the authors must be a registered participant at the conference, and attend the Poster Session to present the work. All papers accepted at the poster session will be published as extended abstracts (up to 4 pages in LNCS format) in CEUR proceedings. ***COMMITTEES AND CHAIRS*** GENERAL & PROGRAM CHAIRS - Dino Pedreschi, University of Pisa - Anna Monreale, University of Pisa - Riccardo Guidotti, University of Pisa STEERING COMMITTEE - Michelangelo Ceci, University of Bari SPECIAL SESSION CHAIR - Roberto Trasarti, ISTI-CNR Pisa POSTER SESSION CHAIR - Francesca Naretto DOCTORAL CONSORTIUM CHAIRS - Fosca Giannotti - Roberto Pellungrini SOCIAL MEDIA & PUBLICITY CHAIR - Vittorio Romano LOCAL ORGANIZATION COMMITTEE - Francesco Spinnato, University of Pisa - Lorenzo Mannocci, University of Pisa -- Francesca Naretto Ph.D. in Data Science francesca.naretto at sns.it SNS, Pisa | CNR, Pisa -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at msu.edu Sat Jun 15 10:48:41 2024 From: weng at msu.edu (Weng, Juyang) Date: Sat, 15 Jun 2024 14:48:41 +0000 Subject: Connectionists: Ensemble computing In-Reply-To: References: Message-ID: Dear Gabriele Scheler, You wrote, "Then you can use this one neuron to calculate. You don't need the others." This is a surprisingly naive view of the complex brain. You appear to have little idea about how neurons compete with many others to compute. No neuron in the brain computes alone! Read Developmental Networks (DN-1 through DN-3) to learn a developmental model about the brain. My book, Natural and Artificial Intelligence gives a systematic introduction. https://www.amazon.com/Natural-Artificial-Intelligence-Juyang-Weng/dp/0985875712 Amazon.com: Natural and Artificial Intelligence - 2nd Edition: 9780985875718: Juyang Weng: Books Amazon.com: Natural and Artificial Intelligence - 2nd Edition: 9780985875718: Juyang Weng: Books www.amazon.com Furthermore, you appear to lack basic knowledge in discrete mathematics and computer science since you do not demonstrate your knowledge of one-to-one correspondence. Best regards, -John Weng On Sat, Jun 15, 2024 at 10:25?PM Gabriele Scheler wrote: This is my last answer because I think you are just pretending to be very clueless. The pattern evokes neuronal activation, and it also evokes activity in the one single neuron for the person whose face it is. This is how it is constructed. Then you can use this one neuron to calculate. You don't need the others. Sorry, if you want more instruction you have to pay. Just let me know. Gabriele ________________________________ From: Connectionists on behalf of Gabriele Scheler Sent: Monday, June 10, 2024 8:03 AM To: connectionists at mailman.srv.cs.cmu.edu Subject: Connectionists: Ensemble computing This paper may be relevant to the discussion on symbolic computing in the brain. https://www.biorxiv.org/content/10.1101/2023.12.22.573036v2 It leverages ideas about ensembles in the brain and outlines a basic scheme for symbolic abstraction . Gabriele -- Dr. Gabriele Scheler Carl Correns Foundation for Mathematical Biology 1030 Judson Dr Mountain View, CA 94040 https://www.theoretical-biology.org Please re-send an email if I fail to respond. -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Sun Jun 16 08:11:57 2024 From: timofte.radu at gmail.com (Radu Timofte) Date: Sun, 16 Jun 2024 14:11:57 +0200 Subject: Connectionists: [CFP] ECCV 2024 Advances in Image Manipulation (AIM) workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 9 CHALLENGES AIM: 5th Advances in Image Manipulation workshop and challenges on video super-resolution, depth upsampling, raw alignment and learned ISP, sparse neural rendering, video saliency prediction, image and video quality assessment, In conjunction with ECCV 2024, Milano, Italy Website: https://www.cvlai.net/aim/2024/ Contact: radu.timofte at uni-wuerzburg.de TOPICS Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to: ? Image-to-image translation ? Video-to-video translation ? Image/video manipulation ? Perceptual manipulation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation ? Saliency and gaze estimation ? Perceptual enhancement ? Multimodal translation ? Depth estimation ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Aerial and satellite imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video manipulation on mobile devices ? Image/video restoration and enhancement on mobile devices ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 14 pages (excluding references) in single-column, ECCV style. The paper format must follow the same guidelines as for all ECCV 2024 submissions. The review process is double blind. Dual submission is not allowed. Submission site: https://cmt3.research.microsoft.com/AIMWC2024/ WORKSHOP DATES ? Submission Deadline: July 17, 2024 ? Decisions: August 7, 2024 ? Camera Ready Deadline: August 15, 2024 AIM 2024 has the following associated challenges (ONGOING!): ? Mobile Real-Time Video Super-Resolution ? Efficient Video Super-Resolution ? Depth Upsampling and Refinement ? RAW Burst Alignment and ISP ongoing ? Sparse Neural Rendering - Track 1 - 3 views ? Sparse Neural Rendering - Track 2 - 9 views ? Video Saliency Prediction ? Video Super-Resolution Quality Assessment ? Compressed Video Quality Assessment ? Pushing the Boundaries of Blind Photo Quality Assessment PARTICIPATION To learn more about the challenges and to participate: https://www.cvlai.net/aim/2024/ CHALLENGES DATES ? Release of train data: May, 2024 ? Competitions end: July 19, 2024 CONTACT Email: radu.timofte at uni-wuerzburg.de Website: https://www.cvlai.net/aim/2024/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hongzhi.kuai at gmail.com Sun Jun 16 10:07:43 2024 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Sun, 16 Jun 2024 23:07:43 +0900 Subject: Connectionists: WI-IAT' 24 Call for Papers [July 15, 2024] Message-ID: +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 23rd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) December 9-12, 2024 | Bangkok, Thailand The key theme: Web Intelligence = AI in the Connected World A hybrid conference with both online and offline modes History of WI-IAT: www.youtube.com/watch?v=wOiSI3NhyKw Conference homepage: https://www.wi-iat.com/wi-iat2024/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Workshop Proposal Submission: 30 June 2024 Full Papers Submission Deadline: 15 July 2024 Papers Submission System: https://wi-lab.com/cyberchair/2024/wi24/scripts/submit.php?subarea=WI Workshops and Special Sessions Paper: https://wi-lab.com/cyberchair/2024/wi24/scripts/ws_submit.php?subarea=S Sponsored By: IEEE Computer Society (IEEE-CS: https://www.computer.org/) IEEE Computer Society Technical Committee on Intelligent Informatics (TCII: https://www.computer.org/communities/technical-committees/tcii) Web Intelligence Consortium (WIC: https://wi-consortium.org/) King Mongkut?s University of Technology Thonburi, Thailand (KMUTT: https://www.kmutt.ac.th/en/) Asia-Pacific Neural Network Society (APNNS) IEEE-CIS Thailand Chapter PAPER SUBMISSION ++++++++++++++++++ Papers must be submitted electronically via CyberChair in standard IEEE Conference Proceedings format (max 8 pages, templates at https://www.ieee.org/conferences/publishing/templates.html). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. The 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'24) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on web intelligence and intelligent agent technology research and applications. Academia, professionals and industry people can exchange their ideas, findings and strategies in deepening the understanding of all Web's entities, phenomena, and developments in utilizing the power of human brains and man-made networks to create a better world and intelligent societies. More specifically, the fields of how artificial intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, the Web of Agents, the Web in industry, society, health, and smart living, the Web of Everything, and emerging AIGC in WI-IAT. Therefore, the theme of WI-IAT '24 will be: ?Web Intelligence = AI in the Connected World?. WI-IAT '24 welcomes research and application paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. Relevant topics include but are not limited to: TRACKS AND TOPICS ++++++++++++++++++ TRACK 1: WEB OF PEOPLE * Cognitive Modeling and Computing * Conversational Search and Dialog Systems * Crowdsourcing and Social Computing * Human Centric Computing and Services * Human Creativity and Decision-making Support * Human-level Collective Intelligence * Human-machine Co-intelligence in the Connected World * Information Diffusion Modeling and Analysis * Opinion Mining and Sentiment Analysis * Recommendation Systems * Situation and Personality Awareness * Social Media and Social Networks * User and Behavioural Modelling * Wisdom Services TRACK 2: WEB OF DATA * Artificial Intelligence Generated Content (AIGC) * Big Data Analytics and Deep Learning * Big Data and Human Brain Complex Systems * Cognitive Models and Computational Models * Data Driven Services and Applications * Data Integration and Data Provenance * Data-Knowledge-Wisdom Hierarchy * Data Science and Machine Learning * Few-shot Learning and Transfer Learning * Graph Isomorphism and Graph Theory * Information Search and Retrieval * Knowledge Graph and Semantic Networks * Linked Data Management and Analytics * Multimodal Data Fusion * Large Language Models (LLMs) and Applications * Representation Learning TRACK 3: WEB OF THINGS * Distributed Systems and Devices * Dynamics of Networks * Industrial Multi-domain Web * Intelligent Ubiquitous Web of Things * IoT Data Analytics * Location and Time Awareness * Open Autonomous Systems * Sensor Networks * Streaming Data Analysis * Web Infrastructures and Devices Mobile Web * Wisdom Web of Things TRACK 4: WEB OF TRUST * Blockchain Analytics and Technologies * De-Platforming and No-platforming * Decentralization of Internet * Fake Content and Fraud Detection * Hidden Web Analytics * Monetization Services and Applications * Trust Models for Agents * Ubiquitous Computing * Web Cryptography * Web Safety and Openness * Web-scale Security, Integrity, Privacy and Trust TRACK 5: WEB OF AGENTS * AI Agents and Multi-Agent Systems * Autonomy Remembrance Agents * Autonomy-oriented Computing * Behaviour Modelling and Individual-based Modelling * Chatbot and Intelligent Agent * Computational Social Science * Deep Reinforcement Learning * Distributed Problem-Solving and Reasoning * Edge Computing and Cloud Computing * Local-global Behavioural Interactions * Mechanism Design * Network Autonomy Remembrance Agents * Self-adaptive and Self-organizing Evolutionary Systems * Social-cyber-physical Systems * Symbols-Meaning-Value Space SPECIAL TRACK: Web in Industry, Society, Education, Health and Smart Living, and the Web of Everything * AIGC in Industry, Finance, Culture, Tourism, Education and Healthcare * Data Brain, City Brain and Global Brain * Data-driven Service Industry * Data-driven Innovative Service-oriented Society * Digital Ecosystems and Digital Epidemiology * Digital Transformation and Digital Twin * Generative AI and the Web of Everything * Human-machine Symbiosis in a Connected World * Web3, Metaverse and Smart Living * Wellbeing and Healthcare in the 5G Era SPECIAL TRACK in WI-IAT 2024: FAccT, LLM and AIGC * Digital Divide, Fairness, Accountability, and Transparency * Generative AI - LLM and AIGC * Explainability and Interpretability * Responsible AI * Metric and Evaluation * Applications and Use Cases * Impact on Society * Robustness and Security IMPORTANT DATES +++++++++++++++ June 30, 2024: Workshop Proposal Submission July 15, 2024: Papers Submission (Main Conference) July 30, 2024: Workshop Papers Submission August 30, 2024: Paper Acceptance Notification (Main Conference) September 15, 2024: Workshop Paper Acceptance Notification December 9, 2024: Workshops and Special Sessions December 10-11, 2024: Main Conference Organization Structure ++++++++++++++++++++++ Honorary Chairs * Irwin King, Chinese University of Hong Kong, Hong Kong, China * Suvit Saetia, King Mongkut?s University of Technology Thonburi (KMUTT), Thailand General Chairs * Jonathan Chan, KMUTT, Thailand * Ah-Hwee Tan, Singapore Management University, Singapore * Yiyu Yao, University of Regina, Canada Program Committee Chairs * Kitsuchart Pasupa, KMITL, Thailand * Sung-Bae Cho, Yonsei University, South Korea * Mufti Mahmud, Nottingham Trent University, UK * Haiqin Yang, International Digital Economy Academy, China Local Organizing Chairs * Nipon Charoenkitkarn, KMUTT, Thailand * Phayung Meesad, KMUTNB, Thailand * Kuntpong Woraratpanya, KMITL, Thailand * Ruttikorn Varakulsiripunth, TNI, Thailand Finance Chair * Vajirasak Vanijja, KMUTT, Thailand Workshop/Special Session Chairs * Mark Chignell, University of Toronto, Canada * Ashish Ghosh, Indian Statistical Institute, India * Min Pan, Hubei Normal University, China * Kaizhu Huang, Duke Kunshan University, China Publicity Chairs * Hongzhi Kuai, Maebashi Institute of Technology, Japan * Susmita Ghosh, Jadavpur University, India * Ka-Chun Wong, City University of Hong Kong, Hong Kong, China Publication Chair * Hongzhi Kuai, Maebashi Institute of Technology, Japan Liaison Chair * Sirawaj Itthipuripat, KMUTT, Thailand WIC Steering Committee Chairs * Ning Zhong, Maebashi Institute of Technology, Japan * Jiming Liu, Hong Kong Baptist University, HK, China WIC Executive Secretary * Xiaohui Tao, University of Southern Queensland, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Jun 16 14:27:09 2024 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 16 Jun 2024 21:27:09 +0300 Subject: Connectionists: World wide VVTNS series: Wednesday, June 19 at 11am (EDT), Yasaman Bahri , Google DeepMind | Learning and prediction in artificial deep neural networks: scaling, data manifolds, and universality In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture given by Yasaman Bahri Google DeepMind on the topic of Learning and prediction in artificial deep neural networks: scaling, data manifolds, and universality The lecture will be held on zoom on *Wednesday* *June 19, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *Developing scientifically-grounded theories for representation learning and generalization in artificial deep neural networks remains a grand challenge of fundamental interest to theoretical neuroscience and machine learning. I will discuss our work on one facet of this challenge ? namely understanding generalization or ?scaling laws? in learned neural networks as a function of basic control variables. I?ll discuss a taxonomy we develop that classifies different regimes of scaling behavior. We identify regimes where generalization exhibits universal scaling behavior and others where it can be traced back to properties of the data and neural architecture. The theoretical analysis is enabled by leveraging exactly solvable models of deep neural networks that arise naturally in the limit of large hidden layers. Along the way, I?ll also discuss our work on these theoretical models, which have been a useful starting point for theoretical descriptions of neural network dynamics. Finally, I?ll discuss our findings connecting generalization in neural networks to properties of the learned data manifold. I?ll close by discussing future directions and new hypotheses that emerge from our findings *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? ? ? ? ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From gscheler at gmail.com Sun Jun 16 19:16:30 2024 From: gscheler at gmail.com (Gabriele Scheler) Date: Mon, 17 Jun 2024 01:16:30 +0200 Subject: Connectionists: Private email- ensemble coding Message-ID: I regret that a private email I sent to John Weng became public. It was part of an exchange during which I believed that John deliberately wanted to provoke me for unknown reasons. I ended the exchange, and I was angry at myself for having engaged in it. Having said that I think that ensemble coding is an important cortical principle. In my preprint I elaborate on that. The ensembles are in fact hierarchical. There are then neurons which "stand for" a whole pattern, with certain ramifications for further application. Gabriele -- Dr. Gabriele Scheler Carl Correns Foundation for Mathematical Biology 1030 Judson Dr Mountain View, CA 94040 https://www.theoretical-biology.org Please re-send an email if I fail to respond. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ASIM.ROY at asu.edu Sun Jun 16 16:58:59 2024 From: ASIM.ROY at asu.edu (Asim Roy) Date: Sun, 16 Jun 2024 20:58:59 +0000 Subject: Connectionists: Ensemble computing In-Reply-To: References: Message-ID: Some have difficulty accepting findings that were rewarded with Nobel prizes. These scientists were rewarded for finding ?meaning? in the activations of single neurons. That flies in the face of population coding. And, in science, you can repeat these experiments and verify these findings again and again. Some see lots of activations and think that must be population coding. Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists On Behalf Of Weng, Juyang Sent: Saturday, June 15, 2024 7:28 AM To: Gabriele Scheler ; connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: Ensemble computing Dear Gabriele Scheler, You wrote, "Each symbol stands for one pattern". This is an invalid statement, meaningless in mathematics and computer science. (1) I suggest that you review the term One-to-One correspondence required for symbolic representations in discrete mathematics and computer science (like Turing machines). (2) Counter Example 1: While my brain senses your face, many neurons in my brain will fire. Do they stand for the same pattern (your face)? This means one-to-many mapping, defeating the one-to-one correspondence in (1). (3) Counter Example 2: While my brain senses your face at different viewing angles, distances, and lighting conditionss, my motor neurons will fire to produce Gabriele Scheler. Any of motor neurons stand for many patterns of your face, not only "one pattern". This means many-to-one mapping, defeating the one-to-one correspondence in (1). With the above proof, "Each symbol stands for one pattern" is meaningless in mathematics and computer science. Best regards, -John Weng On Sat, Jun 15, 2024 at 9:46?PM Gabriele Scheler > wrote: Oh st simpkicissismus. Symbolic neurons have connections with each other. Each symbol stands for one pattern. They also have connections with their feature patterns. But we compute with the symbolic neurons alone. There are no examples given for that. So by computing with symbolic neurons we can use exact reasoning. But when we want to know the meaning of a symbol we can then turn to their features. The clever part - since you have trouble reading - is that we can use only the symbolic neurons, we do not ha e to stimulate them in a way that their feature parts become active. In that case, 1 symbol, 1 neuron. ________________________________ From: Connectionists > on behalf of Gabriele Scheler > Sent: Monday, June 10, 2024 8:03 AM To: connectionists at mailman.srv.cs.cmu.edu > Subject: Connectionists: Ensemble computing This paper may be relevant to the discussion on symbolic computing in the brain. https://www.biorxiv.org/content/10.1101/2023.12.22.573036v2 It leverages ideas about ensembles in the brain and outlines a basic scheme for symbolic abstraction . Gabriele -- Dr. Gabriele Scheler Carl Correns Foundation for Mathematical Biology 1030 Judson Dr Mountain View, CA 94040 https://www.theoretical-biology.org Please re-send an email if I fail to respond. -------------- next part -------------- An HTML attachment was scrubbed... URL: From luigi.acerbi at helsinki.fi Mon Jun 17 01:00:00 2024 From: luigi.acerbi at helsinki.fi (Luigi Acerbi) Date: Mon, 17 Jun 2024 08:00:00 +0300 Subject: Connectionists: Postdoc position in probabilistic machine learning (University of Helsinki) Message-ID: Dear all, I am looking for a postdoc in *Sample-Efficient Probabilistic Machine Learning*, to join our group at the Department of Computer Science, University of Helsinki. The position is full-time, funded for 2 years and will be filled as soon as possible, with a starting date in autumn or winter 2024. The starting salary will depend on previous qualifications and experience. Applications will be considered until the position is filled. Please get in touch for informal enquiries. Full ad: https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence/postdoctoral-position-in-sample-efficient-probabilistic-machine-learning Best wishes, Luigi -- Luigi Acerbi, Ph.D. Assistant Professor of Machine and Human Intelligence Department of Computer Science, University of Helsinki Lab: http://www.helsinki.fi/machine-and-human-intelligence -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Mon Jun 17 02:52:08 2024 From: benoit.frenay at unamur.be (=?utf-8?B?QmVub8OudCBGcmVuYXk=?=) Date: Mon, 17 Jun 2024 06:52:08 +0000 Subject: Connectionists: AIMLAI Workshop: Call for Papers (Extended deadline) In-Reply-To: <1736871926.21706582.1718373549992.JavaMail.zimbra@inria.fr> References: <1736871926.21706582.1718373549992.JavaMail.zimbra@inria.fr> Message-ID: AIMLAI at ECML/PKDD2024: Joint Tutorial on Explainable Models for Sequential Data and the International Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence We invite researchers working on interpretability and explainability in ML/AI, and related topics, to submit regular (14 pages, single column) or short (7 pages, single column) papers to the AIMLAI workshop that will be held at ECML/PKDD 2024 in Vilnius. This year the workshop will feature a tutorial on explainable models for sequential data. Website: https://project.inria.fr/aimlai/ Submission opening: May 2024 Submission deadline: June 15, 2024 June 28, 2024 Notification to authors: July 15, 2024 July 29, 2024 The purpose of AIMLAI (Advances in Interpretable Machine Learning and Artificial Intelligence) is to encourage principled research that will lead to the advancement of explainable, transparent, ethical and fair data mining, machine learning, and artificial intelligence. AIMLAI is a workshop that seeks top-quality submissions addressing uncovered important issues related to explainable and interpretable data mining and machine learning models. Papers should present novel research results in any of the topics of interest for the workshop as well as application experiences, tools and promising preliminary ideas. AIMLAI asks for contributions from researchers, academia, and industry working on topics addressing these challenges primarily from a technical point of view, but also from a legal, ethical or sociological perspective. Besides the central topic of interpretable algorithms and explanation methods, we also welcome submissions that answer research questions like "how to measure and evaluate interpretability and explainability?" and "how to integrate humans in the machine learning pipeline for interpretability purposes?". This year?s edition of AIMLAI is open to two kinds of submissions: regular papers (14 pages) and short papers (7 pages) in a single column format. A non-exhaustive list of topics that are of interest for AIMLAI are the following: ? Interpretable ML ? Interpretable-by-design models ? Explainable recommendation systems ? Multimodal explanations ? Explainability for large language models (LLMs) ? Mechanistic Interpretability ? Transparency in AI and ML ? Ethical aspects ? Legal aspects ? Fairness issues ? Methodology and formalization of interpretability and explainability ? Formal measures of interpretability/explainability ? Interpretability/complexity trade-offs ? How to evaluate interpretability ? User-centric interpretability ? Explanation modules ? Interpretability and Semantics: how to add semantics to explanations? ? Human-in-the-loop to construct and/or evaluate interpretable models ? Integration of ML algorithms, infovis and man-machine interfaces The workshop will be a full-day event that will feature a half-day tutorial on explainable models for sequential data covering, among others, post-hoc explainability techniques on neural-based models, as well as the most recent techniques to extract explanations from large language models. Submission Guidelines Papers must be written in English and formatted according to the Springer LNCS guidelines. Regular papers must be 14 pages long maximum. Short papers are restricted to a maximum of 7 pages. In both cases the page limit excludes references, for which there is no limit. Overlength papers will be rejected without review (papers with smaller page margins and font sizes than specified in the author instructions and set in the style files will also be treated as overlength). Authors who submit their work to AIMLAI 2024 commit themselves to present their paper at the workshop in case of acceptance. AIMLAI 2024 considers the author list submitted with the paper as final. No additions or deletions to this list may be made after paper submission, either during the review period, or in case of acceptance, at the final camera ready stage. Condition for inclusion in the post-proceedings is that at least one of the co-authors has (in-person or virtually) presented the paper at the workshop. The Workshops and Tutorials will be included in a joint Post-Workshop proceeding published by Springer Communications in Computer and Information Science, in 1-2 volumes, organised by focused scope and possibly indexed by WOS. Papers authors will have the faculty to opt-in or opt-out. -------------- next part -------------- An HTML attachment was scrubbed... URL: From amatra at essex.ac.uk Mon Jun 17 03:40:07 2024 From: amatra at essex.ac.uk (Matran-Fernandez, Ana) Date: Mon, 17 Jun 2024 07:40:07 +0000 Subject: Connectionists: Essex BCI-NE Webinar 19 June: Angela Riccio In-Reply-To: References: Message-ID: The Essex BCI-NE webinar series features prominent scholars from neural engineering-related disciplines. The webinars are free and all are welcome. The next webinar will take place on 19 June at 2pm UK time and feature Dr Angela Riccio. REGISTER HERE!! [cid:image001.png at 01DAC091.F338AE60] Angela Riccio is a psychologist and a researcher at the Fondazione Santa Lucia, a neurorehabilitation hospital and research centre in Rome, Italy. Her main research interests focus on the EEG-based BCI for communication and control in people with severe disabilities, including disorders of consciousness (DoC). She is also the Assistive Technologies (AT) psychologist expert for Alternative and Augmentative Communication (AAC) who is responsible for the assessment and customization of AT for people with a wide range of motor, sensory and cognitive disabilities, together with the multidisciplinary team of the AT Centre of the Fondazione Santa Lucia, SARA-t. She is the Vice-President of the Italian Network of the AT Centres, GLIC. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 585192 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Riccio-banner.png Type: image/png Size: 585192 bytes Desc: Riccio-banner.png URL: From lorincz at inf.elte.hu Mon Jun 17 03:18:42 2024 From: lorincz at inf.elte.hu (=?utf-8?B?TMWRcmluY3ogQW5kcsOhcw==?=) Date: Mon, 17 Jun 2024 07:18:42 +0000 Subject: Connectionists: Ensemble computing In-Reply-To: References: Message-ID: Dear Asim: Place cells are spatio-temporal constructs subject to phase coding. They definitely fall under the category of population code. Single place cells are imprecise in defining the position, while the spatio-temporal voting of the neuronal ensemble gives better results. In addition, the spatial response of a single neuron can't be seen as the abstract representation of 2D (3D for bats) geometry. There are other networks that respond too and are in phase synchrony (phase locking ? DOI: 10.1126/sciadv.abm6081) offering additional metric and topology plus geometrical information for the forecasting capabilities of place cells enhancing further the relevance and the meaning of population coding. Furthermore, the existence of the representation of 2D (3D) geometry may not involve conscious thinking in terms of the belonging concepts. They may grant the precise decision about just-in-time action and nothing else. Note that conscious knowledge of actions in humans are delayed by about 200 msec relative to the neuronal signals launched by the motor cortex to initiate those actions. In turn, ?meaning? does not seem to fly in the face of population coding. Best, Andras Lorincz Fellow of the European Association for Artificial Intelligence Department of Artificial Intelligence Faculty of Informatics Eotvos Lorand University Budapest, Hungary ________________________________ From: Connectionists on behalf of Asim Roy Sent: Sunday, June 16, 2024 10:58 PM To: Weng, Juyang ; Gabriele Scheler ; connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: Ensemble computing Some have difficulty accepting findings that were rewarded with Nobel prizes. These scientists were rewarded for finding ?meaning? in the activations of single neurons. That flies in the face of population coding. And, in science, you can repeat these experiments and verify these findings again and again. Some see lots of activations and think that must be population coding. Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists On Behalf Of Weng, Juyang Sent: Saturday, June 15, 2024 7:28 AM To: Gabriele Scheler ; connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: Ensemble computing Dear Gabriele Scheler, You wrote, "Each symbol stands for one pattern". This is an invalid statement, meaningless in mathematics and computer science. (1) I suggest that you review the term One-to-One correspondence required for symbolic representations in discrete mathematics and computer science (like Turing machines). (2) Counter Example 1: While my brain senses your face, many neurons in my brain will fire. Do they stand for the same pattern (your face)? This means one-to-many mapping, defeating the one-to-one correspondence in (1). (3) Counter Example 2: While my brain senses your face at different viewing angles, distances, and lighting conditionss, my motor neurons will fire to produce Gabriele Scheler. Any of motor neurons stand for many patterns of your face, not only "one pattern". This means many-to-one mapping, defeating the one-to-one correspondence in (1). With the above proof, "Each symbol stands for one pattern" is meaningless in mathematics and computer science. Best regards, -John Weng On Sat, Jun 15, 2024 at 9:46?PM Gabriele Scheler > wrote: Oh st simpkicissismus. Symbolic neurons have connections with each other. Each symbol stands for one pattern. They also have connections with their feature patterns. But we compute with the symbolic neurons alone. There are no examples given for that. So by computing with symbolic neurons we can use exact reasoning. But when we want to know the meaning of a symbol we can then turn to their features. The clever part - since you have trouble reading - is that we can use only the symbolic neurons, we do not ha e to stimulate them in a way that their feature parts become active. In that case, 1 symbol, 1 neuron. ________________________________ From: Connectionists > on behalf of Gabriele Scheler > Sent: Monday, June 10, 2024 8:03 AM To: connectionists at mailman.srv.cs.cmu.edu > Subject: Connectionists: Ensemble computing This paper may be relevant to the discussion on symbolic computing in the brain. https://www.biorxiv.org/content/10.1101/2023.12.22.573036v2 It leverages ideas about ensembles in the brain and outlines a basic scheme for symbolic abstraction . Gabriele -- Dr. Gabriele Scheler Carl Correns Foundation for Mathematical Biology 1030 Judson Dr Mountain View, CA 94040 https://www.theoretical-biology.org Please re-send an email if I fail to respond. -------------- next part -------------- An HTML attachment was scrubbed... URL: From acain at artificial-intelligence-sas.org Mon Jun 17 04:55:21 2024 From: acain at artificial-intelligence-sas.org (ACAIN Organizing Committee) Date: Mon, 17 Jun 2024 10:55:21 +0200 Subject: Connectionists: Call for Participation - ACAIN 2024 - 4th Int. Advanced Course on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Deadline: June 23 Message-ID: Call for Participation (apologies for multiple copies) _______________________________________________________________ The 4th International Advanced Course on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain at icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Course Deadline Regular Registration (Course): by June 23 https://acain2024.icas.events/registration/ SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. LECTURERS https://acain2024.icas.events/course-lecturers/ * Maria Eckstein, Google DeepMind, London, UK * Auke Jan Ijspeert, EPFL, Switzerland * Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK * Loic Matthey, Google DeepMind, London, UK * Kevin J. Miller, DeepMind & UCL, London, UK * Thomas Parr, Oxford University, UK * Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland * Alessandro Treves, International School for Advanced Studies, Italy More Lecturers TBA COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Localit? Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events at rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain at icas.cc W: https://acain2024.icas.events *4th Advanced Course and Symposium on Artificial Intelligence and Neuroscience ? ACAIN 2024,* 22?25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://acain2024.icas.events/ acain at icas.cc *Author Registration Deadline: June 23 * *Early Registration Deadline for the Course: June 23* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. https://acain2024.icas.events/past-editions/ https://acain2024.icas.events/past-lecturers/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Mon Jun 17 05:08:47 2024 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Mon, 17 Jun 2024 11:08:47 +0200 Subject: Connectionists: Call for Participation - ACAIN 2024 - 4th Int. Advanced Course on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Deadline: June 23 Message-ID: Call for Participation (apologies for multiple copies) _______________________________________________________________ The 4th International Advanced Course on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain at icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Course Deadline Regular Registration (Course): by June 23 https://acain2024.icas.events/registration/ SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. LECTURERS https://acain2024.icas.events/course-lecturers/ * Maria Eckstein, Google DeepMind, London, UK * Auke Jan Ijspeert, EPFL, Switzerland * Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK * Loic Matthey, Google DeepMind, London, UK * Kevin J. Miller, DeepMind & UCL, London, UK * Thomas Parr, Oxford University, UK * Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland * Alessandro Treves, International School for Advanced Studies, Italy More Lecturers TBA COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Localit? Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events at rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain at icas.cc W: https://acain2024.icas.events -------------- next part -------------- An HTML attachment was scrubbed... URL: From blextar at gmail.com Mon Jun 17 06:11:00 2024 From: blextar at gmail.com (Luca Rossi) Date: Mon, 17 Jun 2024 12:11:00 +0200 Subject: Connectionists: 3rd CFP S+SSPR 2024 (Deadline Extension) Message-ID: Due to numerous requests, we have extended the paper submission deadline for S+SSPR 2024 to July 7, 2024 (UTC+2). The IAPR Joint International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition Workshop (SSPR) is a joint event organized by the Technical Committee 1 (Statistical Pattern Recognition Techniques) and the Technical Committee 2 (Structural and Syntactical Pattern Recognition) of the International Association for Pattern Recognition. The 2024 edition of S+SSPR will be held in Venice (Italy) on September 9-11, 2024. Authors are invited to submit papers addressing topics in statistical, structural or syntactic pattern recognition and their applications. For the full list of topics of interest and more details please visit https://sspr2024.dais.unive.it/ Sincerely, The S+SSPR 2024 Organizing Committee -- Luca Rossi Assistant Professor Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University https://blextar.github.io/luca-rossi/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ASIM.ROY at asu.edu Mon Jun 17 05:31:58 2024 From: ASIM.ROY at asu.edu (Asim Roy) Date: Mon, 17 Jun 2024 09:31:58 +0000 Subject: Connectionists: Ensemble computing In-Reply-To: References: Message-ID: Dear Andras, I did not see a connection between ?meaning? and population coding in your explanation. May be I didn?t quite understand. Are you claiming that ?meaning? can be associated with certain cells even when you consider population coding? Best, Asim From: L?rincz Andr?s Sent: Monday, June 17, 2024 12:19 AM To: Asim Roy ; Weng, Juyang ; Gabriele Scheler ; connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: Ensemble computing Dear Asim: Place cells are spatio-temporal constructs subject to phase coding. They definitely fall under the category of population code. Single place cells are imprecise in defining the position, while the spatio-temporal voting of the neuronal ensemble gives better results. In addition, the spatial response of a single neuron can't be seen as the abstract representation of 2D (3D for bats) geometry. There are other networks that respond too and are in phase synchrony (phase locking ? DOI: 10.1126/sciadv.abm6081) offering additional metric and topology plus geometrical information for the forecasting capabilities of place cells enhancing further the relevance and the meaning of population coding. Furthermore, the existence of the representation of 2D (3D) geometry may not involve conscious thinking in terms of the belonging concepts. They may grant the precise decision about just-in-time action and nothing else. Note that conscious knowledge of actions in humans are delayed by about 200 msec relative to the neuronal signals launched by the motor cortex to initiate those actions. In turn, ?meaning? does not seem to fly in the face of population coding. Best, Andras Lorincz Fellow of the European Association for Artificial Intelligence Department of Artificial Intelligence Faculty of Informatics Eotvos Lorand University Budapest, Hungary ________________________________ From: Connectionists > on behalf of Asim Roy > Sent: Sunday, June 16, 2024 10:58 PM To: Weng, Juyang >; Gabriele Scheler >; connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: Ensemble computing Some have difficulty accepting findings that were rewarded with Nobel prizes. These scientists were rewarded for finding ?meaning? in the activations of single neurons. That flies in the face of population coding. And, in science, you can repeat these experiments and verify these findings again and again. Some see lots of activations and think that must be population coding. Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists > On Behalf Of Weng, Juyang Sent: Saturday, June 15, 2024 7:28 AM To: Gabriele Scheler >; connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: Ensemble computing Dear Gabriele Scheler, You wrote, "Each symbol stands for one pattern". This is an invalid statement, meaningless in mathematics and computer science. (1) I suggest that you review the term One-to-One correspondence required for symbolic representations in discrete mathematics and computer science (like Turing machines). (2) Counter Example 1: While my brain senses your face, many neurons in my brain will fire. Do they stand for the same pattern (your face)? This means one-to-many mapping, defeating the one-to-one correspondence in (1). (3) Counter Example 2: While my brain senses your face at different viewing angles, distances, and lighting conditionss, my motor neurons will fire to produce Gabriele Scheler. Any of motor neurons stand for many patterns of your face, not only "one pattern". This means many-to-one mapping, defeating the one-to-one correspondence in (1). With the above proof, "Each symbol stands for one pattern" is meaningless in mathematics and computer science. Best regards, -John Weng On Sat, Jun 15, 2024 at 9:46?PM Gabriele Scheler > wrote: Oh st simpkicissismus. Symbolic neurons have connections with each other. Each symbol stands for one pattern. They also have connections with their feature patterns. But we compute with the symbolic neurons alone. There are no examples given for that. So by computing with symbolic neurons we can use exact reasoning. But when we want to know the meaning of a symbol we can then turn to their features. The clever part - since you have trouble reading - is that we can use only the symbolic neurons, we do not ha e to stimulate them in a way that their feature parts become active. In that case, 1 symbol, 1 neuron. ________________________________ From: Connectionists > on behalf of Gabriele Scheler > Sent: Monday, June 10, 2024 8:03 AM To: connectionists at mailman.srv.cs.cmu.edu > Subject: Connectionists: Ensemble computing This paper may be relevant to the discussion on symbolic computing in the brain. https://www.biorxiv.org/content/10.1101/2023.12.22.573036v2 It leverages ideas about ensembles in the brain and outlines a basic scheme for symbolic abstraction . Gabriele -- Dr. Gabriele Scheler Carl Correns Foundation for Mathematical Biology 1030 Judson Dr Mountain View, CA 94040 https://www.theoretical-biology.org Please re-send an email if I fail to respond. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tom.Hanika at cs.uni-kassel.de Mon Jun 17 06:40:13 2024 From: Tom.Hanika at cs.uni-kassel.de (Tom Hanika) Date: Mon, 17 Jun 2024 12:40:13 +0200 Subject: Connectionists: [CfP] [CoKA] : --- 2nd Call --- "Conceptual Knowledge Acquisition: Challenges, Opportunities, and Use Cases" workshop at CONCEPTS 2024 Message-ID: ***CoKA: --- 2nd Call for Contributions*** ================================================================ Conceptual Knowledge Acquisition: Challenges, Opportunities, and Use Cases Workshop at the 1st International Joint Conference on Conceptual Knowledge Structures (CONCEPTS 2024) September 9?13 2024, C?diz, Spain Workshop Website: https://www.kde.cs.uni-kassel.de/coka/ Conference website: https://concepts2024.uca.es ================================================================ Formal concept analysis (FCA) can help make sense of data and the underlying domain --- provided the data is not too big, not too noisy, representative of the domain, and if there is data in the first place. What if you don?t have such data readily available but are prepared to invest in collecting it and have access to domain experts or other reliable queryable sources of information? Conceptual exploration comes to the rescue! Conceptual exploration is a family of knowledge-acquisition techniques within FCA. The goal is to build a complete implicational theory of a domain (with respect to a fixed language) by posing queries to a domain expert. When properly implemented, it is a great tool that can help organize the process of scientific discovery. Unfortunately, proper implementations are scarce and success stories of using conceptual exploration are somewhat rare and limited in scope. With this workshop, we intend to analyze the situation and, maybe, find a solution. If - you succeeded in acquiring new knowledge about or building a satisfying conceptual representation of some domain with conceptual exploration before; - you attempted conceptual exploration in application to your problem but failed miserably; - you want to use conceptual exploration to analyze some domain, but you don?t know where and how to start; - you are aware of alternatives to conceptual exploration; then come to the workshop to share your experiences, insights, ideas, and concerns with us! ================== Keywords and Topics ================== ??? Knowledge Acquisition and Capture ??? Conceptual Exploration ??? Design Patterns and Paradigmatic Examples ??? successful use cases and real-world applications ??? challenges and lessons learned ??? application principles ??? missing theoretical foundations ??? missing technical infrastructure ??? integration with other theories and technologies ========================= Duration, Format, and Dates ========================= We invite contributions in the form of an extended abstract of up to two pages. In addition, supplementary material, such as data sets, detailed descriptions, or visualizations, may be submitted. The workshop is planned for half a day within the conference dates and at the same venue. It will consist of several short presentations each followed by a plenary discussion. Please send your contributions until *July 10, 2024* to tom.hanika at uni-hildesheim.de. If you are not sure whether your contribution matches the topics or the format of the workshop, you are welcome to contact the organizers prior to submitting the abstract. An acceptance notification will be sent within two weeks upon receiving the submission. =================== Workshop Organizers =================== - Tom Hanika, University of Hildesheim - Sergei Obiedkov, TU Dresden - Bernhard Ganter, Ernst-Schr?der-Zentrum, Darmstadt -- Dr. Tom Hanika Universit?t Kassel Tel.: +49 (0) 561 804 6252 https://www.kde.cs.uni-kassel.de/hanika --------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OpenPGP_signature.asc Type: application/pgp-signature Size: 840 bytes Desc: OpenPGP digital signature URL: From vkapatsi at uoregon.edu Mon Jun 17 07:37:57 2024 From: vkapatsi at uoregon.edu (Volya Kapatsinski) Date: Mon, 17 Jun 2024 11:37:57 +0000 Subject: Connectionists: Deadline approaching: Implications of neural nets for linguistic theory Message-ID: Just a reminder that the deadline to submit abstracts for our special issue of Linguistics Vanguard on the Implications of Neural Networks and other Learning Models for Linguistic Theory is in two weeks (July 1). More information below. Vsevolod (Volya) Kapatsinski Special collection: Implications of Neural Networks and other Learning Models for Linguistic Theory (more information here: https://blogs.uoregon.edu/ublab/lmlt/) Managing Editor: Vsevolod Kapatsinski (University of Oregon) Co-editor: Ga?per Begu? (University of California, Berkeley) This Linguistics Vanguard special collection is motivated by the recent breakthroughs in the application of neural networks to language data. Linguistics Vanguard publishes short 3000-4000 word articles on cutting-edge topics in linguistics and neighboring areas. Inclusion of multimodal content designed to integrate interactive content (including, but not limited to audio and video, images, maps, software code, raw data, hyperlinks to external databases, and any other media enhancing the traditional written word) is particularly encouraged. Special collections contributors should follow general submission guidelines for the journal (https://www.degruyter.com/journal/key/lingvan/html#overview). Overview of the special issue topic: Neural network models of language have been around for several decades, and became the de facto standard in psycholinguistics by the 1990s. There have also been several important attempts to incorporate neural network insights into linguistic theory (e.g., Bates & MacWhinney, 1989; Bybee, 1985; Bybee & McClelland, 2005; Heitmeier et al., 2021; Smolensky & Legendre, 2006). However, until recently, neural network models did not approximate the generative capacity of a human speaker or writer. This changed in the last few years, when large language models (e.g., the GPT family), embodying largely the same principles but trained on vastly larger amounts of data, have made a breakthrough so that the language they generate is now usually indistinguishable from that generated by a human. The accomplishments of these models have led to both calls for further integration between linguistic theory and neural networks (Begu? 2020; Kapatsinski, 2023; Kirov & Cotterell, 2018; Pater, 2019; Piantadosi, 2023) and criticism suggesting that the way they work is fundamentally unlike human language learning and processing (e.g., Bender et al., 2021; Chomsky et al., 2023). The present special collection for Linguistics Vanguard aims to foster a productive discussion between linguists, cognitive scientists, neural network modelers, neuroscientists, and proponents of other approaches to learning theory (e.g., Bayesian probabilistic inference, instance-based lazy learning, reinforcement learning, active inference; Jamieson et al., 2022; Tenenbaum et al., 2011; Sajid et al., 2021). We call for contributions addressing the central question of linguistic theory ? Why are languages the way they are? ? by means of a computational modeling approach. Reflections and position papers motivating the best ways to approach this question computationally are also welcome. The contributions are encouraged to compare different models trained on the same data approximating human experience. Insightful position papers will also be accepted. Contributions should explicitly address the ways in which the training data of the model(s) they discuss resembles and differs from human experience. Contributions can involve either hypothesis testing via minimally different versions of the same well-motivated model (e.g., Kapatsinski, 2023), or comparisons of state-of-the-art models from different intellectual traditions (e.g., Albright & Hayes, 2003; Sajid et al., 2021) on how well they answer the question above. Research topics within this broad topic include: 1) the learning mechanisms and biases needed for modeling humanlike processing from humanlike experience 2) biases and mechanisms required for modeling trajectories of language change through iterated learning and/or use, or linguistic typology More information is available here: https://blogs.uoregon.edu/ublab/lmlt/ Contributors are asked to submit a one-page non-anonymous abstract (plus one page for figures and references) in .pdf format via the following link https://oregon.qualtrics.com/jfe/form/SV_e8LaCg8EqKHzjQG. The abstract should have the title as the top line, author names, affiliations and emails as the second line, and the body of the abstract as a separate paragraph (or three). Please contact managing editor Vsevolod (Volya) Kapatsinski, vkapatsi at uoregon.edu with any questions. Abstracts will be evaluated for topic relevance for the special collection, and on overall quality. Contributors of selected abstracts will be invited to submit a full paper (3000-4000 words) that will undergo peer review. Timeline: abstract due by July 1, 2024 notification of authors by August 1, 2024 full paper due by November 1, 2024 reviews to be completed by January 31, 2025 publication by March 2025 Best, Volya -- Vsevolod Kapatsinski Professor Department of Linguistics, University of Oregon visiting at Department of English, University of Freiburg Area Editor, Linguistics Vanguard (cog, exp, comp) blogs.uoregon.edu/ublab/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From steve at bu.edu Mon Jun 17 12:39:58 2024 From: steve at bu.edu (Grossberg, Stephen) Date: Mon, 17 Jun 2024 16:39:58 +0000 Subject: Connectionists: Ensemble computing In-Reply-To: References: Message-ID: Dear Asim, Andras et al., The word ?meaning? has several possible interpretations. Perhaps you are considering how a cell population that codes a learned recognition category represents a critical feature pattern that acquires ?meaning? when the category and critical features are bound together via a feature-category resonance between both types of representations. I write about this process in greater detail on p. 217 of my Magnum Opus Conscious Mind, Resonant Brain: How Each Brain Makes a Mind https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 I believe that one needs more than considerations of categories and their critical features to explain how we learn and understand language meanings during our daily lives. Here is an article that I recently published about how children learn perceptual and affective language meanings: Grossberg, S. (2023). How children learn to understand language meanings: A neural model of adult?child multimodal interactions in real-time. Frontiers in Psychology, August 2, 2023. Section on Cognitive Science, Volume 14. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2023.1216479/full I hope that you find some of the above comments helpful. Best, Steve sites.bu.edu/steveg From: Connectionists on behalf of Asim Roy Date: Monday, June 17, 2024 at 6:19 AM To: L?rincz Andr?s , Weng, Juyang , Gabriele Scheler , connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: Ensemble computing Dear Andras, I did not see a connection between ?meaning? and population coding in your explanation. May be I didn?t quite understand. Are you claiming that ?meaning? can be associated with certain cells even when you consider population coding? Best, Asim From: L?rincz Andr?s Sent: Monday, June 17, 2024 12:19 AM To: Asim Roy ; Weng, Juyang ; Gabriele Scheler ; connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: Ensemble computing Dear Asim: Place cells are spatio-temporal constructs subject to phase coding. They definitely fall under the category of population code. Single place cells are imprecise in defining the position, while the spatio-temporal voting of the neuronal ensemble gives better results. In addition, the spatial response of a single neuron can't be seen as the abstract representation of 2D (3D for bats) geometry. There are other networks that respond too and are in phase synchrony (phase locking ? DOI: 10.1126/sciadv.abm6081) offering additional metric and topology plus geometrical information for the forecasting capabilities of place cells enhancing further the relevance and the meaning of population coding. Furthermore, the existence of the representation of 2D (3D) geometry may not involve conscious thinking in terms of the belonging concepts. They may grant the precise decision about just-in-time action and nothing else. Note that conscious knowledge of actions in humans are delayed by about 200 msec relative to the neuronal signals launched by the motor cortex to initiate those actions. In turn, ?meaning? does not seem to fly in the face of population coding. Best, Andras Lorincz Fellow of the European Association for Artificial Intelligence Department of Artificial Intelligence Faculty of Informatics Eotvos Lorand University Budapest, Hungary ________________________________ From: Connectionists > on behalf of Asim Roy > Sent: Sunday, June 16, 2024 10:58 PM To: Weng, Juyang >; Gabriele Scheler >; connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: Ensemble computing Some have difficulty accepting findings that were rewarded with Nobel prizes. These scientists were rewarded for finding ?meaning? in the activations of single neurons. That flies in the face of population coding. And, in science, you can repeat these experiments and verify these findings again and again. Some see lots of activations and think that must be population coding. Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists > On Behalf Of Weng, Juyang Sent: Saturday, June 15, 2024 7:28 AM To: Gabriele Scheler >; connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: Ensemble computing Dear Gabriele Scheler, You wrote, "Each symbol stands for one pattern". This is an invalid statement, meaningless in mathematics and computer science. (1) I suggest that you review the term One-to-One correspondence required for symbolic representations in discrete mathematics and computer science (like Turing machines). (2) Counter Example 1: While my brain senses your face, many neurons in my brain will fire. Do they stand for the same pattern (your face)? This means one-to-many mapping, defeating the one-to-one correspondence in (1). (3) Counter Example 2: While my brain senses your face at different viewing angles, distances, and lighting conditionss, my motor neurons will fire to produce Gabriele Scheler. Any of motor neurons stand for many patterns of your face, not only "one pattern". This means many-to-one mapping, defeating the one-to-one correspondence in (1). With the above proof, "Each symbol stands for one pattern" is meaningless in mathematics and computer science. Best regards, -John Weng On Sat, Jun 15, 2024 at 9:46?PM Gabriele Scheler > wrote: Oh st simpkicissismus. Symbolic neurons have connections with each other. Each symbol stands for one pattern. They also have connections with their feature patterns. But we compute with the symbolic neurons alone. There are no examples given for that. So by computing with symbolic neurons we can use exact reasoning. But when we want to know the meaning of a symbol we can then turn to their features. The clever part - since you have trouble reading - is that we can use only the symbolic neurons, we do not ha e to stimulate them in a way that their feature parts become active. In that case, 1 symbol, 1 neuron. ________________________________ From: Connectionists > on behalf of Gabriele Scheler > Sent: Monday, June 10, 2024 8:03 AM To: connectionists at mailman.srv.cs.cmu.edu > Subject: Connectionists: Ensemble computing This paper may be relevant to the discussion on symbolic computing in the brain. https://www.biorxiv.org/content/10.1101/2023.12.22.573036v2 It leverages ideas about ensembles in the brain and outlines a basic scheme for symbolic abstraction . Gabriele -- Dr. Gabriele Scheler Carl Correns Foundation for Mathematical Biology 1030 Judson Dr Mountain View, CA 94040 https://www.theoretical-biology.org Please re-send an email if I fail to respond. -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.goodhill at wustl.edu Mon Jun 17 17:21:59 2024 From: g.goodhill at wustl.edu (Goodhill, Geoffrey) Date: Mon, 17 Jun 2024 21:21:59 +0000 Subject: Connectionists: Postdoc position available Message-ID: POSTDOC POSITION IN DECODING AUTISM SPECTRUM DISORDERS FROM MOVEMENT A postdoc position is available in the lab of Geoff Goodhill at Washington University in St Louis for an NIH-funded project to help improve early diagnosis of ASD by using cutting-edge tools from machine learning and computational ethology. PROJECT. Motor differences are one of the earliest markers of increased ASD likelihood in infancy. Our goal is to develop broadly-applicable diagnostic tools which combine automated extraction of kinematic features from video data with new machine learning techniques to capture ASD motor function variability. As a first step, we are applying cutting-edge developments in computer vision, machine learning and computational ethology to a rich, longitudinal video dataset of infants being screened for ASD. APPLICANT PROFILE. The ideal applicant would have a strong background in all of ASD, human movement, machine learning and computational ethology. However given the rarity of this combination we are happy to consider candidates with only some of this background, but a strong desire to learn about the other elements. LAB ENVIRONMENT. The Goodhill lab is an interdisciplinary environment of students and postdocs from a diverse array of backgrounds including neuroscience, mathematics, physics and engineering, working together on understanding neural circuit computation, particularly relating to neural development. UNIVERSITY ENVIRONMENT. Washington University in St Louis is ranked in the top 10 institutions globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for research in neuroscience. The Goodhill lab has recently moved into Washington University's new start-of-the-art 600,000 sq ft Neuroscience Research Building (https://neuroscience.wustl.edu/research/neuroscience-building). For more information about St Louis see https://explorestlouis.com. To apply please send a CV and detailed cover letter explaining why you are interested in this position to g.goodhill at wustl.edu. Review of applications will continue until the position is filled. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill at wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd -------------- next part -------------- An HTML attachment was scrubbed... URL: From vkapatsi at uoregon.edu Mon Jun 17 16:34:11 2024 From: vkapatsi at uoregon.edu (Volya Kapatsinski) Date: Mon, 17 Jun 2024 20:34:11 +0000 Subject: Connectionists: Call for co-located conferences, Linguistics Society of America Summer Institute 2025 Message-ID: Dear colleagues, We are looking for co-located conferences to supplement and complement the course offerings at the 2025 Linguistics Society of America Summer Institute, to be held in Eugene, OR, USA from July 7 to August 8, 2025. The Institute is the largest and most prestigious summer school for linguistics in the world, and has been held since 1928, drawing about 100 faculty and a few hundred (mostly graduate) students. Eugene is a city of ~170,000 people, home to the University of Oregon, located at the southern end of the beautiful Willamette Valley. Within a 90-minute drive, you will find snow-capped mountains, a gorgeous coastline, wild hot springs, deserted ocean beaches, top-notch wineries, and more. Events can be held on weekends: July 4-6, July 12-13, July 19-20, July 26-27, or August 2-3. They can last one or two days, with the possibility of an evening session on July 11, 18, 25, or August 2 as well. We will provide room for the event (as we have 5 rooms maximum at any one time, parallel sessions are discouraged), and will advertise the event on the institute website. All expenses beyond the cost of the room are, however, the responsibility of the event organizers. These events are intended to supplement coursework at the institute. The theme of the Institute is ?Language in Use?, in keeping with the usage-based theoretical orientation of the linguistics department at Oregon, and we currently have particularly strong course offerings in ? Typology ? Descriptive and functional morphosyntax ? Usage-based, learning-theoretic and constructivist approaches to language acquisition ? Language variation and change, including frequency effects therein ? Construction grammar and formulaic language ? Information-theoretic and probabilistic approaches to linguistic theory ? Bayesian and connectionist approaches to speech and language processing ? Statistical methods in linguistic data analysis For more information and to submit, please visit https://blogs.uoregon.edu/ublab/call-for-conferences-lsa2025/ Deadline: September 15, 2024 Acceptance / rejection: October 1, 2024 Feel free to contact me with any questions at vkapatsi at uoregon.edu Vsevolod (Volya) Kapatsinski on behalf of myself, Kaori Idemaru and Spike Gildea, co-directors Best, -- Vsevolod Kapatsinski Professor Department of Linguistics, University of Oregon visiting at Department of English, University of Freiburg Area Editor, Linguistics Vanguard (cog, exp, comp) blogs.uoregon.edu/ublab/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ASIM.ROY at asu.edu Mon Jun 17 16:19:30 2024 From: ASIM.ROY at asu.edu (Asim Roy) Date: Mon, 17 Jun 2024 20:19:30 +0000 Subject: Connectionists: Ensemble computing In-Reply-To: References: Message-ID: Dear Steve, I agree with you. I think most of the single cell findings were associating an activation of a cell to a particular stimulus and some similar ones. For example, one could fire when an image of Jennifer Aniston is presented, but also fire when a similar looking image is presented. You can, by extension, say that it?s a category of similar looking faces. Best, Asim From: Grossberg, Stephen Sent: Monday, June 17, 2024 9:40 AM To: Asim Roy ; L?rincz Andr?s ; Weng, Juyang ; Gabriele Scheler ; connectionists at mailman.srv.cs.cmu.edu; Grossberg, Stephen Subject: Re: Connectionists: Ensemble computing Dear Asim, Andras et al., The word ?meaning? has several possible interpretations. Perhaps you are considering how a cell population that codes a learned recognition category represents a critical feature pattern that acquires ?meaning? when the category and critical features are bound together via a feature-category resonance between both types of representations. I write about this process in greater detail on p. 217 of my Magnum Opus Conscious Mind, Resonant Brain: How Each Brain Makes a Mind https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 I believe that one needs more than considerations of categories and their critical features to explain how we learn and understand language meanings during our daily lives. Here is an article that I recently published about how children learn perceptual and affective language meanings: Grossberg, S. (2023). How children learn to understand language meanings: A neural model of adult?child multimodal interactions in real-time. Frontiers in Psychology, August 2, 2023. Section on Cognitive Science, Volume 14. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2023.1216479/full I hope that you find some of the above comments helpful. Best, Steve sites.bu.edu/steveg From: Connectionists > on behalf of Asim Roy > Date: Monday, June 17, 2024 at 6:19 AM To: L?rincz Andr?s >, Weng, Juyang >, Gabriele Scheler >, connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: Ensemble computing Dear Andras, I did not see a connection between ?meaning? and population coding in your explanation. May be I didn?t quite understand. Are you claiming that ?meaning? can be associated with certain cells even when you consider population coding? Best, Asim From: L?rincz Andr?s > Sent: Monday, June 17, 2024 12:19 AM To: Asim Roy >; Weng, Juyang >; Gabriele Scheler >; connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: Ensemble computing Dear Asim: Place cells are spatio-temporal constructs subject to phase coding. They definitely fall under the category of population code. Single place cells are imprecise in defining the position, while the spatio-temporal voting of the neuronal ensemble gives better results. In addition, the spatial response of a single neuron can't be seen as the abstract representation of 2D (3D for bats) geometry. There are other networks that respond too and are in phase synchrony (phase locking ? DOI: 10.1126/sciadv.abm6081) offering additional metric and topology plus geometrical information for the forecasting capabilities of place cells enhancing further the relevance and the meaning of population coding. Furthermore, the existence of the representation of 2D (3D) geometry may not involve conscious thinking in terms of the belonging concepts. They may grant the precise decision about just-in-time action and nothing else. Note that conscious knowledge of actions in humans are delayed by about 200 msec relative to the neuronal signals launched by the motor cortex to initiate those actions. In turn, ?meaning? does not seem to fly in the face of population coding. Best, Andras Lorincz Fellow of the European Association for Artificial Intelligence Department of Artificial Intelligence Faculty of Informatics Eotvos Lorand University Budapest, Hungary ________________________________ From: Connectionists > on behalf of Asim Roy > Sent: Sunday, June 16, 2024 10:58 PM To: Weng, Juyang >; Gabriele Scheler >; connectionists at mailman.srv.cs.cmu.edu > Subject: Re: Connectionists: Ensemble computing Some have difficulty accepting findings that were rewarded with Nobel prizes. These scientists were rewarded for finding ?meaning? in the activations of single neurons. That flies in the face of population coding. And, in science, you can repeat these experiments and verify these findings again and again. Some see lots of activations and think that must be population coding. Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search Lifeboat Foundation Bios: Professor Asim Roy From: Connectionists > On Behalf Of Weng, Juyang Sent: Saturday, June 15, 2024 7:28 AM To: Gabriele Scheler >; connectionists at mailman.srv.cs.cmu.edu Subject: Re: Connectionists: Ensemble computing Dear Gabriele Scheler, You wrote, "Each symbol stands for one pattern". This is an invalid statement, meaningless in mathematics and computer science. (1) I suggest that you review the term One-to-One correspondence required for symbolic representations in discrete mathematics and computer science (like Turing machines). (2) Counter Example 1: While my brain senses your face, many neurons in my brain will fire. Do they stand for the same pattern (your face)? This means one-to-many mapping, defeating the one-to-one correspondence in (1). (3) Counter Example 2: While my brain senses your face at different viewing angles, distances, and lighting conditionss, my motor neurons will fire to produce Gabriele Scheler. Any of motor neurons stand for many patterns of your face, not only "one pattern". This means many-to-one mapping, defeating the one-to-one correspondence in (1). With the above proof, "Each symbol stands for one pattern" is meaningless in mathematics and computer science. Best regards, -John Weng On Sat, Jun 15, 2024 at 9:46?PM Gabriele Scheler > wrote: Oh st simpkicissismus. Symbolic neurons have connections with each other. Each symbol stands for one pattern. They also have connections with their feature patterns. But we compute with the symbolic neurons alone. There are no examples given for that. So by computing with symbolic neurons we can use exact reasoning. But when we want to know the meaning of a symbol we can then turn to their features. The clever part - since you have trouble reading - is that we can use only the symbolic neurons, we do not ha e to stimulate them in a way that their feature parts become active. In that case, 1 symbol, 1 neuron. ________________________________ From: Connectionists > on behalf of Gabriele Scheler > Sent: Monday, June 10, 2024 8:03 AM To: connectionists at mailman.srv.cs.cmu.edu > Subject: Connectionists: Ensemble computing This paper may be relevant to the discussion on symbolic computing in the brain. https://www.biorxiv.org/content/10.1101/2023.12.22.573036v2 It leverages ideas about ensembles in the brain and outlines a basic scheme for symbolic abstraction . Gabriele -- Dr. Gabriele Scheler Carl Correns Foundation for Mathematical Biology 1030 Judson Dr Mountain View, CA 94040 https://www.theoretical-biology.org Please re-send an email if I fail to respond. -------------- next part -------------- An HTML attachment was scrubbed... URL: From gscheler at gmail.com Mon Jun 17 14:12:31 2024 From: gscheler at gmail.com (Gabriele Scheler) Date: Mon, 17 Jun 2024 20:12:31 +0200 Subject: Connectionists: Learning and Hidden Meanings Message-ID: https://www.biorxiv.org/content/10.1101/658153v2 Maybe what one should be pointed out that there is no need for associative learning in the model. Also that the feature-based meanings of the 'concept neurons' are only present when they are specifically activated. It is possible to compute with concept neurons alone, making them have all the properties that symbolic thought is good for - crisp instead of feature clouds, fast, and abstract - no reference to their meaning unless needed. Gabriele -- Dr. Gabriele Scheler Carl Correns Foundation for Mathematical Biology 1030 Judson Dr Mountain View, CA 94040 https://www.theoretical-biology.org Please re-send an email if I fail to respond. -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.crimi at sanoscience.org Mon Jun 17 14:29:32 2024 From: a.crimi at sanoscience.org (Alex Crimi) Date: Mon, 17 Jun 2024 18:29:32 +0000 Subject: Connectionists: Call for Papers: MICCAI meets AFRICA Message-ID: Dear all Please shares also across your network: Call for Papers: MICCAI meets AFRICA Over recent years, there has been considerable excitement about the extraordinary opportunities that machine learning (ML) may offer in the healthcare of tomorrow. Given the potential of ML technology in facilitating the quantification of large and complex datasets, medical imaging has witnessed rapid and revolutionary developments. However, a limitation of current ML developments for medical imaging is that they have overwhelmingly and almost entirely targeted imaging applications in high-income settings. Hence, it is important to promote and accelerate the development of trustworthy and accessible ML solutions for medical imaging in low-to-middle-income (LMIC) countries to advance global healthcare. This workshop aims to connect researchers, medical experts, policymakers, and regulators from Africa and beyond to share experiences and initiatives in promoting ML for medical imaging on the African continent. With this workshop, we hope to showcase exceptional research done on the continent, raise awareness about initiatives, attract collaborators, promote new research and innovation in the field to address Africa-specific healthcare challenges and encourage similar initiatives for promoting practical ML solutions for resource-limited settings around the world. Core Focus Areas Overcoming Healthcare Barriers in LMICs: * Address poor imaging quality, scan completeness, and data sharing challenges. * Utilise affordable X-rays, ultrasound, and smartphone diagnostics. * Deploy biosignals like EEG and ECG for cost-effective diagnoses. * Propose low-cost image-guided therapies and computer-integrated interventions Methodological Advances in ML: * Enhance image quality with innovative techniques for low-cost devices. * Develop data-efficient ML models suited for LMICs' sparse data environments. * Implement robust strategies for handling missing and noisy data. * Apply cost-effective transfer learning and domain adaptation. * Focus on AI model bias mitigation and model compression for equity and resource efficiency. Driving ML Innovations for Improved Care: * Tailor ML algorithms to meet specific medical imaging challenges in LMICs. * Advance early disease detection and monitoring with minimal resources. * Leverage multimodal data for predictive analytics in patient management. * Evaluate ML's impact on healthcare access and policies in LMICs. * Accelerate the adoption of ML innovations for sustainable healthcare improvements. * Develop solutions to manage data scarcity and optimise computational resources. Submission Guidelines Submissions are invited in two formats: short papers (4 pages, including references) or long papers (8 pages of content plus 2 pages for references). Accepted long papers will be included in the workshop proceedings, which will be published under the LNCS Springer series. Consequently, submissions for long papers must adhere strictly to the Springer LNCS format to ensure consistency across the proceedings. The MICCAI meets Africa Workshop review process will be double-blind; authors are therefore required to anonymize their submissions to prevent identification. Each submission will be rigorously reviewed by at least three external reviewers to assess its suitability for the workshop program. Accepted short and long papers can be submitted to preprint repositories such as arxiv. Authors can post the submitted version to arxiv, but cannot post the camera-ready version published under Springer LNCS to arxiv during the publication embargo period, according to Springer?s License to Publish. Authors can include a link to the LNCS version on arxiv when the SpringerLink becomes available. Submission Instructions: Authors are required to submit their papers electronically, adhering strictly to the Springer LNCS style guidelines. Templates for LaTeX and MS Word are available on the Lecture Notes in Computer Science website. Modifications to the template are not allowed, and failure to comply with these formatting guidelines will result in the paper's rejection. Please submit your papers through the Submission Portal: https://cmt3.research.microsoft.com/MICCAImeetsAFRICA2024/ Important Dates: * Full Paper Submission Deadline: 24 June 2024, 11:59 PM EST * Notification of Acceptance: 15 July 2024 * Camera-ready Submission: 31 July 2024 11:59 PM EST * Workshop Date: 6 October 2024 Awards: Two awards sponsored by the Radiological Society of North America Research & Education Foundation (RSNA R&E) will be presented at the workshop. One Best Paper Award ($500) for the highest quality paper selected based on the review results and one People?s Choice Award ($500) chosen by the workshop attendees to recognize the contributed paper presented at the workshop that best captures the focus of the workshop, as well as has the most demonstrated impact in Africa. Travel grants: Authors of papers at our workshop can apply for MICCAI Travel Grants. As MICCAI 2024 heads to Africa for the first time, the grants will contribute towards an unprecedented participation of African researchers and students. The MICCAI Travel Grants supports African students and early-career researchers who aspire to pursue careers in medical imaging and healthcare by providing them with the opportunity to attend MICCAI 2024. See MICCAI Travel Grants page for more details on how to apply. Conference registration: To register to attend, visit the MICCAI 2024 conference registration page to submit your registration request. To learn more about the workshop and the program, visit the program page at https://event.fourwaves.com/miccaiafrica/ We hope to see you in Morocco! Best regards, ---------------------------------------------------------------------------------------------- Things learnt while dealing with pregnant women, startups and goats: https://www.amazon.com/dp/178133840X [cid:c3ef255f-7408-4db6-bd09-1331805a129b] Dr. Alessandro Crimi Research Group Leader https://bam.sano.science [cid:cf2705b8-fe9d-47ad-afc4-4c25f471365c] Centre for Computational Medicine Czarnowiejska 36, building C5. 30-072 Krak?w, Poland Phone: +48 575 455 016 www.sano.science ----------------------------------------------- https://twitter.com/Dr_Alex_Crim -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 428871 bytes Desc: image.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 12251 bytes Desc: image.png URL: From dhansel0 at gmail.com Tue Jun 18 09:39:33 2024 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 18 Jun 2024 16:39:33 +0300 Subject: Connectionists: REMINDER: World wide VVTNS series: Wednesday, June 19 at 11am (EDT), Yasaman Bahri , Google DeepMind | Learning and prediction in artificial deep neural networks: scaling, data manifolds, and universality In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture given by Yasaman Bahri Google DeepMind on the topic of Learning and prediction in artificial deep neural networks: scaling, data manifolds, and universality The lecture will be held on zoom on *Wednesday* *June 19, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *Developing scientifically-grounded theories for representation learning and generalization in artificial deep neural networks remains a grand challenge of fundamental interest to theoretical neuroscience and machine learning. I will discuss our work on one facet of this challenge ? namely understanding generalization or ?scaling laws? in learned neural networks as a function of basic control variables. I?ll discuss a taxonomy we develop that classifies different regimes of scaling behavior. We identify regimes where generalization exhibits universal scaling behavior and others where it can be traced back to properties of the data and neural architecture. The theoretical analysis is enabled by leveraging exactly solvable models of deep neural networks that arise naturally in the limit of large hidden layers. Along the way, I?ll also discuss our work on these theoretical models, which have been a useful starting point for theoretical descriptions of neural network dynamics. Finally, I?ll discuss our findings connecting generalization in neural networks to properties of the learned data manifold. I?ll close by discussing future directions and new hypotheses that emerge from our findings *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? ? ? ? ? ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From frothga at sandia.gov Tue Jun 18 09:47:29 2024 From: frothga at sandia.gov (Rothganger, Fred) Date: Tue, 18 Jun 2024 13:47:29 +0000 Subject: Connectionists: The meaning of "meaning" In-Reply-To: References: Message-ID: There have been several interesting threads on this list recently about "meaning". I'd like to suggest a way of thinking about this, based on who/what the observer is: 1. Another agent (animal or human) -- One agent performs a physical action that stimulates the brain of the other. It is useful, but not necessary, that actions can be quantized into a discrete set called "symbols". It's also helpful for both agents to have some rough agreement on the referent for a given symbol. 2. A neuroscientist -- The experimenter observes that some neurons fire more actively when a specific stimulus is presented to the brain, and concludes that the neurons "represent" the stimulus. 3. The brain itself -- This is similar to case #1, but for internal consumption. Neural activity could potentially, but not necessarily, form discrete sets that allow operations called "computation". It's also possible that neural activity is more continuous-valued and involved in feedback control or other processes that don't neatly fall into symbolic computation. All three of these are valid points of view. There is a danger, though, in confusing them with each other. For example, confusing #2 with #3. In that case the neuroscientist accidentally creates a homunculus by inserting themself into brain's processing and believing that it uses the neural activity the same way the neuroscientist does. There are numerous ways in which this can lead to a wrong conclusion. -------------- next part -------------- An HTML attachment was scrubbed... URL: From federica.proiettosalanitri at unict.it Tue Jun 18 13:08:57 2024 From: federica.proiettosalanitri at unict.it (Federica Proietto Salanitri) Date: Tue, 18 Jun 2024 17:08:57 +0000 Subject: Connectionists: [CFP] MICCAI Workshop on AI in Pancreatic Disease Detection and Diagnosis In-Reply-To: References: Message-ID: --- Call for papers - Apologies for multiple posting --- Workshop on AI in Pancreatic Disease Detection and Diagnosis Held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)? - October 10, 2024, Marrakesh (Morocco) Web site: https://aipad-miccai.github.io/ About The domain of medical imaging is experiencing a transformative shift through the application of artificial intelligence and deep learning, providing clinicians with new tools for diagnosis and treatment planning. As these technologies evolve, they hold the potential to significantly enhance the accuracy and efficiency of medical imaging interpretations. Nevertheless, unlike other organs like the brain, lungs or liver, the pancreas has a uniquely complex anatomical structure that sets it apart as a significantly distinct case. Factors such as age, gender and adiposity may largely contribute to variations in pancreas? size, shape and location. Despite its small size and similarity to surrounding abdominal tissues, diseases affecting the pancreas (diabetes, pancreatic cancer, pancreatitis) pose considerable threats to individuals. The workshop ?AIPAD: AI in Pancreatic Disease Detection and Diagnosis? aims to focus on the cutting-age of AI applications in pancreatic health, with a special emphasis on image analysis, while also encompassing the broader scope of deep learning applications such as predictive analytics, treatment planning, and outcome evaluation. Our goal is to catalyze collaborative problem-solving and spearhead innovation in this specialized yet critical area of medical imaging. Topics Potential topics include, but are not limited to: * AI-driven techniques for enhancing pancreatic image quality and detail resolution. * Deep learning models for accurate classification and segmentation of pancreatic structures. * Multi-modal data integration using AI to provide a comprehensive view of pancreatic health. * Addressing small sample sizes and class imbalance in pancreatic datasets with AI. * AI solutions for artifact reduction and signal enhancement in pancreatic imaging. * Utilizing transfer learning to supplement pancreatic imaging data scarcity with larger, external datasets. * Weakly supervised learning for the detection, characterization, and risk assessment of pancreatic lesions with minimal annotated data. * Use of foundational models in the development of diagnostic, prognostic, and therapeutic tools for pancreatic diseases. * Examination of privacy-preserving techniques in AI for pancreatic health, addressing the challenges of data protection and confidentiality while enabling collaborative research and data sharing. * Development of interpretable AI models for pancreatic imaging and data analysis, emphasizing the need for clear decision-making due to the pancreas?s complex anatomy and the often subtle presentation of pancreatic diseases. * Creation and curation of richly annotated pancreatic datasets for AI applications. * AI methodologies for robust segmentation and quantification of pancreatic tumors. * Tailored evaluation and validation frameworks for AI tools in pancreatic imaging. * Discussion of ethical implications surrounding the application of AI in pancreatic imaging. Important dates Paper submission deadline: June 24, 2024 Notification to authors: July 15, 2024 Camera-ready deadline: July 30, 2024 Proceedings Accepted papers will be published in Springer LNCS in a separate proceedings book. Organizers Federica Proietto Salanitri - University of Catania, Italy Serestina Viriri - University of KwaZulu-Natal, South Africa Ulas Bagci - Northwestern University, USA Pallavi Tiwari - University of Wisconsin Madison, USA Boqing Gong - Google DeepMind, USA Concetto Spampinato - University of Catania, Italy Zheyuan Zhang - Northwestern University, USA We hope to see you in Marrakesh! -------------- next part -------------- An HTML attachment was scrubbed... URL: From xiao at gmu.edu Tue Jun 18 22:41:08 2024 From: xiao at gmu.edu (Xuesu Xiao) Date: Wed, 19 Jun 2024 02:41:08 +0000 Subject: Connectionists: [meetings] [news] IROS 2024 Competition: The Earth Rover Challenge Message-ID: <11C27A97-A33D-4AAE-935B-03142EBD35DD@gmu.edu> Competition Website: https://sites.google.com/view/the-earth-rover-challenge/ Express-of-Interest Form: https://docs.google.com/forms/d/e/1FAIpQLSfBN9W1FmIJpmAeR8PHERCt17THOg2fSzQz3Jm1-iGKNAnRrA/viewform Dear roboticists, do you want to compete with human gamers and AI agents in an around-the-world real life Mario Kart game? Are you interested in training and deploying AI models for real-world robots, but don?t have (sufficient) robot platforms or data? [https://lh7-us.googleusercontent.com/docsz/AD_4nXchYhlGPjw70Y351H0tptydB2iDo-1xQkriGduCa4hrfNbclpfpab9NqgBW4pseAgBgaWY3X5cQSCmrrW_vfUo_5jAl8WlrHCgjtcf_R5lGRMlPnK9SBsowVK83ypWoUmfyLJPbQ5mtBh80g22IMQ-RYfye?key=aiLDOCv2H_KmxzsCYkBk7A] We are excited to bring to you The Earth Rover Challenge @ IROS 2024 ? a first of its kind distributed robotics competition where human gamers and AI models will compete to solve real-world navigation challenges across the world, from Abu Dhabi to Vienna and Singapore to Nairobi! Competition participants will deploy their policies into realistic goal-oriented navigation scenarios, potentially without known maps. This competition will test the robustness, generalization, and safety of robot navigation models. Furthermore, we will standardize training data, robot hardware, and evaluation operations, so teams can entirely focus on model development and evaluation. Every participating team will be given 2 Earth Rover units for testing locally as well as up to 20 hours test time per week (in the coming months leading to the actual competition at IROS) with robots deployed remotely around the world (along with human operators who will follow closely behind the robots to provide real-time operational support to the participating teams). We are excited to test your AI models as they navigate around the globe! Please fill out this form (https://docs.google.com/forms/d/e/1FAIpQLSfBN9W1FmIJpmAeR8PHERCt17THOg2fSzQz3Jm1-iGKNAnRrA/viewform) by Jun 30 AoE to express your interest in participating, and we will be in touch with more information. More information about The Earth Rover Challenge: https://sites.google.com/view/the-earth-rover-challenge/, or email us at erc2024-organizers at googlegroups.com. Organizing Team: FrodoBots, National University of Singapore, UC Berkeley, Google DeepMind, Georgia Tech, George Mason University Thanks Michael Cho, David Hsu, Dhruv Shah, Jie Tan, Joanne Truong, Ted Xiao, Xuesu Xiao, Naoki Yokoyama, Wenhao Yu, and Tingnan Zhang ----------------------- Xuesu Xiao, Ph.D. -- Assistant Professor Department of Computer Science George Mason University xiao at gmu.edu https://cs.gmu.edu/~xiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From cspampin at gmail.com Wed Jun 19 03:45:35 2024 From: cspampin at gmail.com (Concetto Spampinato) Date: Wed, 19 Jun 2024 07:45:35 +0000 Subject: Connectionists: [CFP] ECCV Workshop: Towards Multimodal Foundational Models for Modelling Visual Cortex Message-ID: --- Call for papers - Apologies for multiple posting --- Towards Multimodal Foundational Models for Modelling Visual Cortex Held in conjunction with the 18th European Conference on Computer Vision ECCV 2024 - Sep 29th - Oct 4th, 2024, 2024, Milan (Italy) Web site: https://fmbrain-eccv.github.io IMPORTANT DATES Paper submission deadline: July 15, 2024 Notification to authors: August 10, 2024 Camera-ready deadline: August 20, 2024 CALL FOR PAPERS Recent advancements in artificial intelligence and computational modeling have sparked a new era in understanding complex systems, particularly in neuroscience. Foundation models, distinguished by their capability to integrate diverse data modalities, have emerged as powerful tools in decoding the complexities of the visual cortex in both human and animal subjects. This workshop aims to explore state-of-the-art techniques and methodologies for developing multimodal foundational models that comprehensively represent the visual cortex. Topics (but not limited to): ? Theoretical Frameworks and Computational Approaches: Novel theoretical constructs and computational strategies for modeling the visual cortex using multimodal data. ? Integration of Diverse Data Sources: Techniques and challenges in integrating and harmonizing heterogeneous data modalities such as fMRI, EEG, in vivo two-photon calcium imaging, fNIRS, and others. ? Learning Paradigms for Noisy Data: Innovations in learning algorithms and paradigms to effectively handle noisy and incomplete data in modeling brain functions. ? Applications in Neuroscientific Research: Practical applications of multimodal foundational models in elucidating perception, cognition, and neurodevelopmental or neurodegenerative disorders. ? Contrastive Learning for Multimodal Brain Data Fusion: Techniques and advancements in leveraging contrastive learning methods to fuse multimodal brain data for enhanced representation and analysis. ? Self-Supervised Learning for Temporal Brain Dynamics: Approaches utilizing self-supervised learning to capture and model temporal dynamics in brain imaging and physiological data. ? Unsupervised Learning for Structural and Functional Brain Network Construction: Methods employing unsupervised learning to construct and analyze structural and functional brain networks from multimodal data. ? Weakly Supervised Learning for Brain Connectivity Analysis: Innovations in weakly supervised learning techniques for analyzing brain connectivity patterns and networks. ? Foundational Models for Classification and Predictive Modeling: Development and application of foundational models for classification and predictive modeling tasks in neuroscience. ? Multimodal Brain Image Visualization with Advanced Learning Techniques: Techniques for visualizing multimodal brain images using advanced learning and visualization methods to aid in data interpretation. ? Ethical Implications: Ethical considerations in the creation, use, and implications of foundational models in neuroscience research and applications. SUBMISSION GUIDELINES: We invite original contributions in the form of full research papers, review articles, or extended abstracts of ongoing works aligned with the workshop's themes. Full papers should not exceed 8 pages (excluding references), while extended abstracts should be limited to 4 pages. All submissions will undergo a rigorous peer-review process conducted by experts in the field. Submission follows the ECCV format (see the ECCV website for format instruction (https://eccv.ecva.net/Conferences/2024/AuthorGuide)). WORKSHOP PROCEEDINGS All accepted contributed papers will appear in the ECCV2024 workshop proceedings. WORKSHOP ORGANIZERS Nouria Lakhdar Ghazal - Mohammed V University of Rabat, Morocco Simone Palazzo ? University of Catania, Italy Matteo Pennisi - Campus Bio Medico Rome, Italy Federica Proietto Salanitri - University of Catania, Italy Shanmuganathan Raman - Indian Institute of Technology, India Concetto Spampinato - University of Catania, Italy Andreas Tolias - University of Houston, Texas Jonathan Xu - University of Waterloo, Canada We hope to see you in Milan! -------------- next part -------------- An HTML attachment was scrubbed... URL: From stm at socio.org.uk Wed Jun 19 00:49:10 2024 From: stm at socio.org.uk (STM STMet 2024) Date: Wed, 19 Jun 2024 10:19:10 +0530 (IST) Subject: Connectionists: Real-Time Intelligent Systems 2024 Message-ID: <773341004.2160523.1718772550514@ap1.myprofessionalmail.com> Sixth International Conference on Real-Time Intelligent Systems (RTIS 2024) Tien Giang University My Tho (near Ho-chi-Minh) Vietnam October 17-19, 2024 www.socio.org.uk/rtis Springer Lecture Notes in Networks and Systems (LNNS) The International Conference on Real-time Intelligent Systems (RTIS) has traveled from Beijing, China (2016), to Ho-Chi-Min, Vietnam. The sixth edition will take place at Tien Giang University. Over the last few years, real-time intelligent computing has radically transformed the human lifestyle. Research on real-time intelligent systems is multi-disciplinary, exploiting concepts from diverse areas such as big data processing, computational intelligence, location-based services, recommendation systems, and multimedia processing. In today?s highly dynamic environment, analysing data in real-time is necessary to understand how systems process data, reason the outputs, and anticipate trends in intelligent computing. To this end, this conference will serve as a platform to manifest the ongoing research in the field. Thus, RTIS welcomes theoretically grounded, methodologically sound papers that address aspects related to topics, such as: Artificial Intelligence and Data mining Streaming data, streaming engines Trace-based intelligent real-time services Adaptive vision algorithms Location-based services Intelligent Robotic Systems Collaborative Intelligence Data capture in real-time Data quality and cleansing Intelligent Data Analysis Intelligent Database Systems Knowledge representation and reasoning Intelligent information fusion Large Language Models, cognitive methods, sequential inference, data mining, pattern/behavioral analysis, Big Data systems and applications for high-velocity data Intelligent Information Systems Privacy and security in Intelligence Software Engineering Solutions Intelligent Soft Computing Real-time multiprocessor systems Internet of Things Architectures for Intelligence Real-time distributed coding Smart services and platforms Real-time modelling user information needs Wireless Communication Real-time intelligent communication Real-time intelligent network solutions Mobile Smart Systems Broadband Intelligence Cloud Computing and Intelligence Collaborative Intelligence Analysis in domains such as energy, sensors Decision support systems in real-time Multi-agent Intelligent Systems Multilingual information access Recommendation systems Real-time intelligent alert systems Real-time remote access systems Intelligent Transportation Systems Autonomous systems (incl. autonomous vehicles and drones) Distributed systems Cloud/edge computing/fusion Defence/security, robotics, aerospace, intelligent transportation Mining/Manufacturing Environmental monitoring Critical Real-time Applications Real-time noise removal systems Event-driven analytics Intelligent Fuzzy Systems Machine translation in real-time OLAP for real-time decision support Crowdsourcing and crowd intelligence Submission, proceedings Papers must be submitted online through OpenConf. Author instructions and LaTex2e (preferred) and Word macro files are available on the submission page. Submitted papers should be at most 14 pages (long papers) and 8 pages (short ones), including figures, tables and references (in the Springer template). Authors of accepted papers are required to transfer their copyrights. For a paper to appear in the proceedings, at least one of the authors MUST register for the conference by the camera-ready submission deadline with a full registration. Springer?s Lecture Notes in Networks and Systems (LNNS) (https://www.springer.com/series/15179) will publish the accepted papers and be indexed in SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, and SCImago. All the papers published in the series are submitted for consideration in the Web of Science. Important Dates Submission of papers: August 05, 2024 Notification: September 01, 2024 Camera-ready: October 01, 2024 Registration: October 01, 2024 Conference Dates: October 17-19, 2024 Honorary Chair Vo Ngoc Ha, Tien Giang University, Vietnam General Chairs Le Minh Tung, Tien Giang University, Vietnam Mart?n L?PEZ-NORES, University of Vigo, Spain Program Chairs Nguyen Hoang Vu, Tien Giang University, Vietnam Pit Pichappan, Digital Information Research Labs, India & UK Dion Goh Hoe Lian, Nanyang Technological University, Singapore Co-Program Chairs Duong Van Hieu, Tien Giang University, Vietnam Ricardo Rodriguez-Jorge, Technological Centre Ceit, Spain Pavel Losket, Zhejiang University-University of Illinois at Urbana Champaign Institute, China Organizing Chair Cao Nguyen Thi, Tien Giang University, Vietnam Publicity Chair Beniysa Mohsin, LTI laboratory, Abdelmalek Essa?di University, Morocco Paper submission at https://socio.org.uk/rtis/paper-submission/ Contact- stm at socio.org.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Tue Jun 18 14:26:08 2024 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Tue, 18 Jun 2024 20:26:08 +0200 Subject: Connectionists: [CfP] ICONIP 2024 - Special Session on Advances in Deep Learning for Biometrics and Its Applications Message-ID: We do apologize if this CfP reaches you more than once. -------------------------------------------- Call for Papers -Special Session on "Advances in Deep Learning for Biometrics and Its Applications", in he 31st International Conference on Neural Information Processingthe (ICONIP 2024) https://iconip2024.org/special-sessions/ Deadline : June 30, 2024 -------------------------------------------- You can find instructions and the link to the submission form here: https://iconip2024.org/call-for-papers/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From msmirat at gmail.com Tue Jun 18 18:52:59 2024 From: msmirat at gmail.com (Mohammad Alsmirat) Date: Wed, 19 Jun 2024 02:52:59 +0400 Subject: Connectionists: [CFP] IDSTA2024, DUBROVNIK, CROATIA, Firm and Final Deadline Message-ID: The International Conference on Intelligent Data Science Technologies and Applications (IDSTA2024) Co-Sponsored by IEEE https://conferences.ieee.org/conferences_events/conferences/conferencedetails/62194 24-27 SEPT. 2024 | DUBROVNIK, CROATIA https://idsta-conference.org/2024/ *Call for Full Papers:* Huge amount of Data is being generated and transmitted every day. To be able to deal with this data, extract useful information from it, store it, transmit it, and represent it, intelligent technologies and applications are needed. The International Conference on Intelligent Data Science Technologies and Applications (IDSTA) is a peer reviewed conference that will advance the Data Science field by giving an opportunity for researchers, engineers, and practitioners to present their latest findings in the field. It will also invite key persons in the field to share their current knowledge and their future expectations for the field. Topics of interest for submission include, but are not limited to: ? Data Science and Computer Science ? Data Science and Artificial Intelligence ? Data Science and Sustainability ? Data Science and Cybersecurity ? Data Science and Smart City ? Data Science and GPU Computing ? Data Science and Transparency in Research Data ? Data Science and Data and Information Quality ? Data Science and Crowdsourcing ? Data Science and Human Behaviour Understanding ? Data Science for Applied Public Affairs ? Data Science for Business Analytics ? Data Science for Finance ? Data Science and Environmental Science ? Data Science and Biotechnologies ? Data Science and Semi-Structured and Unstructured Data Publication: Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore?s scope and quality requirements. Earlier versions of the proceedings can be found on: DBLP and IEEE FULL PAPER IMPORTANT DATES ? Paper submission deadline: July 10, 2024 (Firm and Final) ? Notification of acceptance: August 5, 2024 ? Camera-ready Submission: August 25, 2024 *Submission Site:* https://easychair.org/conferences/?conf=idsta2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Tue Jun 18 22:44:34 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Wed, 19 Jun 2024 05:44:34 +0300 Subject: Connectionists: =?utf-8?q?ICSC_Final_CFP_=28Hybrid_Conference_Co-?= =?utf-8?q?Sponsored_by_IEEE_=29=3A_The_Fourth_Intelligent_Cybersec?= =?utf-8?q?urity_Conference=2C_17=E2=80=9320_September=2C_2024_=7C_?= =?utf-8?q?Valencia=2C_Spain=2E?= Message-ID: [Apologies if you got multiple copies of this invitation] The Fourth Intelligent Cybersecurity Conference (ICSC2024) Hybrid Event https://www.icsc-conference.org/2024/ 17?20 September, 2024 | Valencia, Spain. Technically Co-Sponsored by IEEE Spain Section *ICSC 2024 CFP:* In today?s world, connected systems, social networks, and mobile communications create a massive flow of data, which is prone to cyberattacks. This needs fast and accurate detection of cyber-attacks. Intelligent systems and Data analytics are important components when issues pertaining to effective security solutions become the subject of discussion. This is because there is an impending need for high volume and high velocity data from different sources to detect anomalies as soon as they are discovered. This will help reduce significantly the vulnerability of the systems as well as improve their resilience to cyber Attacks. The capability to process large volumes of information at real time through utilization of tools for data analytics has many advantages vital for analysis of cybersecurity systems. Moreover, the data collected from sophisticated intelligent systems, cloud systems, networks, sensors, computers, intrusion detection systems could be used to identify vital information. This information could be used to detect how vulnerable the systems are to risk factors, and so effective cyber security solutions can be developed. In addition to that, the utilization of data analytics tools in the cybersecurity field gives new insights through considering factors such as zero-day attack detection, real time analysis, resource constrained data processing among others. The Intelligent Cybersecurity Conference (ICSC) addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to: - Intelligent systems for effective detection of cyber-attacks - Advanced Intelligent systems and data analytics for Cloud/Edge systems security - Malware detection using intelligent systems Vulnerability assessment - Intelligent systems for intrusion detection in Internet of Things (IoT) systems - Network forensics using intelligent systems and data analytics - Data Analytics for privacy-by-design in smart health - Datasets, benchmarks, and open-source packages - Recourse efficient deep learning - Adversarial Machine learning and Backdoor Attacks - Blockchain Systems for Cyber Security - Trustworthy AI Systems - Intelligent Systems for Misinformation Detection *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICSC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *Important Dates:* - *Paper submission deadline: July 5 2024 (Firm and Final) * - Notification of acceptance: July 25, 2024 - Camera-ready Submission: August 5, 2024 *Contact:* Please send any inquiry on ICSC to: info at iccns-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Wed Jun 19 08:02:00 2024 From: efipatm at gmail.com (Efi) Date: Wed, 19 Jun 2024 15:02:00 +0300 Subject: Connectionists: Invitation for free online registration and participation in the AIDA Symposium "AI Education Beyond Borders" organized by the International AI Doctoral Academy, June 27, 2024 Message-ID: Dear AI Professors, students, professionals, enthusiasts, the International AI Doctoral Academy (AIDA ) is excited to invite you to attend online the upcoming *AIDA Symposium ?AI Education Beyond Borders? *as part of the 4th European AI Network of Excellence Community Workshop. This hybrid (local/online) event will be held on *27 June 2024*, in CERTH, Thessaloniki, Greece. This Symposium is the 5th one in the AI Mellontology Symposium series. It is an excellent opportunity for knowledge sharing among AI researchers and practitioners on AI education, notably on: - AI University education (all disciplines, including CS/CSE/ECE and AI Departments), - Curriculum of AI studies - AI tools (e.g., LLM and GenAI) for all education levels - AI educational material and courses (AIDA, AIoD platforms) - Global AI education - Lifelong AI learning, reskilling and upskilling. This AIDA symposium will feature panel discussions on the following topics: 1. AI University Education 2. Training AI Expertise for Europe: Initiatives and the EU AI PhD Curriculum 3. AI tools in education (impact of LLMs and Generative AI in education, exams, essays). 4. AIDA and AoD platform and experience 5. *Harnessing Generative AI for Inclusive Global Education * 6. First responders education on AI for natural disaster management 7. EBU Academy School of AI: How EBU Academy is upskilling Europe?s Public Service Media on AI 8. Innovation for Education: How AI can revamp long-life learning 9. AI in journalism and misinformation: Overview, audiovisual applications, and media literacy needs Time schedule: 8:30 to 16:30 EEST (UTC + 3 hours) The symposium will be addressed by Prof. C. Feidas, Rector of the Aristotle University of Thessaloniki. Further information and registration for free *online* participation [HERE ]. The participation links (Webex) will be sent to you shortly after your registration. Feel free to share this invitation with your contacts or spread the word on your communication channels and social media and share our LinkedIn event ! This event is organized by AIDA and the European Networks of Excellence Centres in AI and Robotics (AI NoEs) funded by the European Union. The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , supports a world-level AI education and research program. AIDA offers regular AI excellence lecture series, short courses, semester courses, and seasonal schools with the participation of hundreds of academics and serving a growing community of AI PhD students and researchers. If you want to stay informed on future AIDA educational offers and activities, you can register in the email lists AIDA email list and CVML email list . Best regards Prof. Ioannis Pitas AIDA Symposium Chair [image: Community Workshop 2024_AI4Media.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Community Workshop 2024_AI4Media.png Type: image/png Size: 246487 bytes Desc: not available URL: From Francesco.Rea at iit.it Wed Jun 19 09:29:38 2024 From: Francesco.Rea at iit.it (Francesco Rea) Date: Wed, 19 Jun 2024 13:29:38 +0000 Subject: Connectionists: [jobs] PhD position in Affective communication in human robot interaction: behavioral and neural perspective @ Italian Institute of Technology (IIT) Message-ID: PhD Position in Affective communication in human robot interaction: behavioral and neural perspectives @ Italian Institute of Technology (IIT) In the spirit of the doctoral School on Bioengineering and Robotics (https://biorob.phd.unige.it/how-to-apply), the PhD Program for the curriculum "Cognitive Robotics, Interaction and Rehabilitation Technologies" provides interdisciplinary training at the interface between technology and life-sciences. The CONTACT Research Line is coordinated by Alessandra Sciutti, who has extensive experience in Cognitive Architecture for Human Robot Interaction. Description: During social interactions, the observation of actions allows us to understand the attitudes of others. Humans perform actions with different forms expressing their positive or negative mood/internal state. For example, observing a person that greets us, we may understand if that person is happy or not, or if he/she feels good or not. The perception and the generation of these forms of communication could be a valuable property for future robots allowing them to assume the right attitude in different scenarios, such as an authoritative role in the security contexts or a polite behavior in clinical ones, influencing human behavior. The aim of the present project is to study the kinematic features characterizing different human actions performed with different forms (i.e., gentle, enthusiastic, annoyed, rude) and to enable the iCub humanoid robot to express them with its own behaviour and detect them from visual observation of human actions. To quantitatively evaluate the impact on humans from behavioral and neural point of view, the project will leverage Real Time functional Magnetic Resonance Imaging technique (fMRI). Several robotic actions will be presented to healthy participants in order to study, in real time, the neural activity involved in the processing of these robotic actions. The research project will be carried out in collaboration with the University of Parma that is equipped with an advanced 3 Tesla MR scanner endowed with Real Time fMRI technology. The work will take advantage of an existing software module available on the iCub robot supporting the generation and detection of actions with different properties and will potentially improve it. The successful candidate will: 1) participate in the generation of iCub robot's actions characterized by different kinematic features and forms; 2) participate in the development of algorithms to detect action forms; 3) develop and test cognitive paradigms coupled with cortical and subcortical Real Time fMRI recordings; 4) compute brain activity maps from fMRI data. Requirements: Degree in Bioengineering, Computer Science, Computer Engineering, Robotics, or related disciplines, attitude for problem solving, C++ programming. We expect the candidate to develop skills in signal processing, and computational modelling. Excellent analytical skills (MATLAB) will also be required. Contacts: Applicants are strongly encouraged to contact the prospective tutors before they submit their application: giuseppe.dicesare at iit.it, radoslaw.niewiadomski at dibris.unige.it , alessandra.sciutti at iit.it Application's deadline: The 2024 Doctorate First Call will close on July 9th 2024 at 12 noon (CET) -------------- next part -------------- An HTML attachment was scrubbed... URL: From dr.fahed.alkhabbas at gmail.com Wed Jun 19 11:59:14 2024 From: dr.fahed.alkhabbas at gmail.com (Dr.Fahed Alkhabbas) Date: Wed, 19 Jun 2024 17:59:14 +0200 Subject: Connectionists: CFP: THE 2ND INTERNATIONAL CONFERENCE ON FEDERATED LEARNING TECHNOLOGIES AND APPLICATIONS (FLTA24, Valencia, Spain. September 17-20, 2024) Message-ID: [Apologies if you got multiple copies of this invitation] THE 2ND INTERNATIONAL CONFERENCE ON FEDERATED LEARNING TECHNOLOGIES AND APPLICATIONS (FLTA 24) https://flta-conference.org/ Valencia, Spain. September 17-20, 2024 Technically Co-Sponsored by IEEE Spain Section *FLTA 2024 CFP :* The International Symposium on Federated Learning Technologies and Applications (FLTA) is a premier venue for the timely publication of archival research on FL management, systems, services and applications. FLTA aims to provide attendees with a comprehensive understanding of FL communication, computing, and system requirements. Through keynote speeches, panel discussions, and presentations, attendees will have the opportunity to engage with leading experts and learn about the latest developments and future trends in the field. FLTA focuses on fostering an understanding of FL, identifying technical challenges, and exploring potential solutions, including distributed optimisation, privacy-preserving techniques, intelligent learning algorithms, personalised FL, communication efficiency approaches, open challenges, and recent trends and opportunities. We welcome submissions addressing the important challenges (see the non-exhaustive list of topics below) and presenting novel research or experimentation results with system or network-related case studies. Survey papers that offer a perspective on related work and identify key challenges for future research will also be considered. We look forward to your submissions! Specific topics of interest include, but are not limited, to the following: - Large-scale FL applications in IoT environments - Applications of FL - Blockchain for FL - Data Heterogeneity in FL - Device heterogeneity in FL - Fairness in FL - Hardware for on-device FL - Federated transfer learning - Adversarial attacks on FL - Optimization advances in FL - Partial participation in FL - Personalization in FL - Privacy Concerns in FL - Privacy-preserving methods for FL - Resource-efficient FL - Systems and infrastructure for FL - Theoretical contributions to FL - Vertical FL - Federated IoT - Security in FL - Explainable FL and AutoFL - FL clients model heterogeneity, aspects and solutions - Recommendations systems based on FL - Clustering FL techniques - Federated Reinforcement LearningFederated Learning with Non-IID Data - Horizontal, Vertical and Transfer Federated Learning: challenges and opportunities - FL approaches using traditional ML - FL secure fusion functions - Communications efficiency in FL *Submission Guidelines**Paper format* Submitted papers (.pdf format) must use the A4 IEEE Manuscript Templates for Conference Proceedings . Please remember to add Keywords to your submission. *Length* There are three categories of submission. - *Long papers: *7-8 pages. Overlength papers will be rejected without review. - *Short papers: *4-6 pages. - *Poster papers: *1-2 pages (undergraduate). *Originality* Papers submitted to FLTA must be the original work of the authors. They may be outside of review elsewhere. Publications that have been peer-reviewed and have appeared at other conferences or workshops may not be submitted to FLTA. Authors should be aware that IEEE has a strict policy with regard to plagiarism https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html. The authors? prior work must be cited appropriately. *Important Dates:* Submission Date: 30 June 2024 (Extended) Notification to Authors: 15 July 2024 Camera Ready Submission: 10 August 2024 *Contact:* Please send any inquiry on FLTA to Sadi Alawadi at: Sadi.alawadi at bth.se Feras M. Awaysheh at : feras.awaysheh at ut.ee Fahed Alkhabbas at: fahed.alkhabbas at mau.se Addi Ait-Mlouk at : addi.ait-mlouk at his.se -------------- next part -------------- An HTML attachment was scrubbed... URL: From stdm at zhaw.ch Thu Jun 20 02:22:07 2024 From: stdm at zhaw.ch (Stadelmann Thilo (stdm)) Date: Thu, 20 Jun 2024 06:22:07 +0000 Subject: Connectionists: [Job] Professorship in Robotics and Director of Institute of Mechatornic Systems at Zurich University of Applied Sciences Message-ID: Dear colleagues, I am looking for a colleagues a professor of robotics and director for the Institute of Mechantronic Systems at the Zurich University of Applied Sciences: https://www.zhaw.ch/en/jobs/vacant-positions/job-details/job/detail/3399545/. Important factors besides the typical requirements of academic leadership positions are: work experience in industry, knowledge of the German language. More about the Institute of Mechatronic Systems (with which my Centre for AI has a very fruitful collaboration): https://www.zhaw.ch/en/engineering/institutes-centres/ims/ Best, Thilo ------------------------------------------------------------------------------------------------------------- ZHAW School of Engineering Prof. Thilo Stadelmann, Dr. rer. nat., FECLT, SMIEEE Director of Centre for Artificial Intelligence Head of Machine Perception and Cognition Group Phone: +41 58 934 72 08, fax: +41 58 935 72 08 Email: thilo.stadelmann at zhaw.ch Web: www.zhaw.ch/cai, http://stdm.github.io Office: TN 03.64, Technikumstrasse 71, CH-8400 Winterthur Postal address: ZHAW School of Engineering, Thilo Stadelmann, Postfach, CH-8401 Winterthur, Switzerland Site plan: https://www.zhaw.ch/storage/shared/hochschule/lageplaene/lageplan-winterthur-technikumstrasse.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Thu Jun 20 04:42:46 2024 From: Pavis at iit.it (Pavis) Date: Thu, 20 Jun 2024 08:42:46 +0000 Subject: Connectionists: Postdoctoral position in Audiovisual Learning and Audio Processing - 2300008C [Jobs] IIT Genoa, Italy Message-ID: <34c2e6d495da4bab9950a0d18a60c7ac@iit.it> Postdoctoral position in Audiovisual Learning and Audio Processing - 2300008C Commitment & contract: collaboration contract, minimum 12 months - renewable Location: Genova, Italy ABOUT US At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society. Our Genoa headquarters are strictly interconnected with the other 11 centers around Italy and two outstations based in the US. We promote excellence in basic and applied research such as neuroscience and cognition, humanoid technologies and robotics, nanotechnology, materials for a truly multidisciplinary scientific experience. YOUR TEAM The project is a joint multidisciplinary effort between the Pattern Analysis and Computer Vision (PAVIS) Research Line (https://pavis.iit.it/ ), in the persons of Dr. Pietro Morerio, Dr. Vittorio Murino and Dr. Alessio Del Bue with the partners of the European project XTREME (RIA Horizon Europe, GA n. 101136006). About XTREME The European project, titled Mixed Reality Environment for Immersive Experience of Art and Culture (XTREME), is meant to ease access to the many benefits of musical experience by providing a mixed reality (MR) solution that, instead of requiring the participant to be physically present in the venue, brings the concerts and performances to a remote location. MR retains the immersive experience, and even gives additional dimensions to it by integrating real and virtual contents. The successful candidate will work to develop specific solutions within the project for: - Mapping multichannel sound to an acoustic image stream with beamforming; - Multimodal audio-visual detection and fusion for scene representation; - Integration of 2D audio-visual reconstructed scene with 3D representations. Both junior and experienced (up to 5 years of post-doctoral experience) candidates will be considered for the position. ESSENTIAL REQUIREMENTS - A PhD in Computer Science, Machine Learning, Physics, Engineering, or related areas - Documented expertise in acoustics and audio signal processing and Computer Vision, with focus on multimodal machine learning (e.g. audio-video) - Strong programming ability (Python preferred) with hands-on skills in AI and Deep Learning frameworks (e.g., Pytorch, Tensorflow or equivalent tools) - Ability/willingness to integrate within multidisciplinary research group - Proven track record of publications in the relevant technical areas and projects - Ability to properly report, organize and publish research data - Team player skills with the ability to communicate technical knowledge in a clear and understandable manner (English language) - Fluency in spoken and written English ADDITIONAL SKILLS - High motivation to learn - Spirit of innovation and creativity - Good in time and priority management - Ability to work in a challenging and international environment - Experience in national and international projects, both in the proposal preparation phase (i.e. proposal writing) and in the project reporting (i.e. writing of deliverables reports) COMPENSATION & BENEFITS - Competitive salary for international standards - Wide range of staff discounts - Candidates from abroad or Italian citizens who permanently work abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years. WHAT?S IN FOR YOU? - An equal, inclusive and multicultural environment ready to welcome you with open arms. Discrimination is a big NO for us! - We like contamination and encourage you to mingle and discover what other people are up to in our labs! - If paperwork is not your piece of cake, we got you! There?s a specialized team working to help you with that, especially during your relocation! - If you are a startupper or a business-minded person, you will find some exceptionally gifted professionals ready to nurture and guide your attitude and aspirations. - If you want your work to have a real impact, in IIT you will find an innovative and stimulating culture that drives our mission to contribute to the improvement and well-being of society! - We stick to our values! Integrity, courage, societal responsibility and inclusivity are the values we believe in! They define us and our actions in our everyday life. They guide us to accomplish IIT mission! - If you feel this tickles your appetite for change, do not hesitate and apply! Please submit your application using the online form https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=2300008C and including: - A detailed CV with a full list of publications, plus a final section titled ?Relevant skills? commenting on the strong points where your CV matches the required skills (list above). - Name and contacts of 2 referees. Application?s deadline: June 30th, 2024 We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone Tel: +39 010 28961 - email: dpo at iit.it - kindly note that this e-mail address is exclusively reserved for handling data protection issues. Please, do not use this e-mail address to send any document and/or request of information about this opening). -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Thu Jun 20 04:51:52 2024 From: Pavis at iit.it (Pavis) Date: Thu, 20 Jun 2024 08:51:52 +0000 Subject: Connectionists: Two Postdoctoral positions on Geometric Deep Learning on Graphs for molecular modelling (2400004I) [Jobs] Genoa, Italy Message-ID: <521afa124bb041c88e3e88067b27e192@iit.it> Two Postdoctoral positions on Geometric Deep Learning on Graphs for molecular modelling (2400004I) Commitment & contract: collaboration contract, 12 months, renewable Location: Genova, Italy WHO WE ARE At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society. Our Genoa headquarters are strictly interconnected with the other 11 centers around Italy and two outstations based in the US. We promote excellence in basic and applied research such as computation, neuroscience and cognition, humanoid technologies and robotics, nanotechnology, materials for a truly multidisciplinary scientific experience. YOUR TEAM We are hiring two PostDocs willing to join the Pattern Analysis and Computer Vison (PAVIS) Research Line (https://pavis.iit.it/ ) coordinated by Dr. Alessio Del Bue. PAVIS is a 25-unit group with multi-disciplinary staff of PhDs, Technicians and PostDocs coming from several countries in Europe and abroad. PAVIS research is aligned towards strengthening IIT activities in Artificial Intelligence (AI), with a clear drive on Computer Vision and Machine Learning research. PAVIS is part of ELLIS (https://ellis.eu/) ? a European network of excellence in AI, Machine Learning (ML) and Computer Vision (CV). The positions are funded within a joint multidisciplinary effort between PAVIS, the Atomistic Simulation (ATSIM) Research Line (https://atsim.iit.it) led by Prof. Michele Parrinello, the Computational Facility led by Dr. Sergio Decherchi and Domp? Pharmaceutical. Topics of interest are the study of novel ML and DL methods that can efficiently incorporate priors and constraints related to physical models, with special focus on self-supervised and generative modelling. We seek to develop models that can also be readily applicable to IIT interdisciplinary research, especially ? but not limited to ? drug discovery and molecular modeling for large scale datasets, by leveraging IIT?s HPC computational facilities. Both junior and experienced candidates will be considered for the position. ESSENTIAL REQUIREMENTS - A PhD in Computer Science, Machine Learning, Physics, Chemistry, Engineering, Mathematics or related areas - Documented expertise in ML and DL models, in particular GNNs and Transformers. - Excellent programming ability (Python preferred) with hands-on skills in AI and Deep Learning frameworks (e.g., Pytorch, Tensorflow or equivalent tools) - Ability/willingness to integrate within a multidisciplinary research group - Proven track record of publications in the relevant technical areas - Ability to properly report, organize and publish research data - High motivation to learn - Good priority management - Ability to work in a challenging and international environment - Fluency in spoken and written English WHAT WOULD MAKE YOU SHINE - Chemistry and/or physics knowledge related to molecular modelling - Practical experience on deploying ML models on HPC platforms - Team player skills with the ability to communicate technical knowledge in a clear and understandable manner COMPENSATION & BENEFITS - Competitive salary for international standards - Wide range of staff discounts - Flexible working time - Candidates from abroad or Italian citizens who permanently work abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years. WHAT?S IN FOR YOU? - An equal, inclusive and multicultural environment ready to welcome you with open arms. Discrimination is a big NO for us! - We like contamination and encourage you to mingle and discover what other people are up to in our labs! - If paperwork is not your piece of cake, we got you! There?s a specialized team working to help you with that, especially during your relocation! - If you are a startupper or a business-minded person, you will find some exceptionally gifted professionals ready to nurture and guide your attitude and aspirations. - If you want your work to have a real impact, in IIT you will find an innovative and stimulating culture that drives our mission to contribute to the improvement and well-being of society! - We stick to our values! Integrity, courage, societal responsibility and inclusivity are the values we believe in! They define us and our actions in our everyday life. They guide us to accomplish IIT mission! If you feel this tickles your appetite for change, do not hesitate and apply! Please submit your application using the online form https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=2400004I and including: - A detailed CV with a full list of publications, plus a final section titled ?Relevant skills? commenting on the strong points where your CV matches the required skills (listed above). - Name and contacts of 2 referees. Application?s deadline: July 31st, 2024 or until the positions have been filled. Please note that this position is pending budget approval. We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone Tel: +39 010 28961 - email: dpo at iit.it - kindly note that this e-mail address is exclusively reserved for handling data protection issues. Please, do not use this e-mail address to send any document and/or request of information about this opening). -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Thu Jun 20 05:49:00 2024 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 20 Jun 2024 11:49:00 +0200 Subject: Connectionists: Submit Your Research for COMPLEX NETWORKS 2024 in Istanbul! Message-ID: 13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 You are cordially invited to submit your contribution until *September 03, 2024*. *----------------------------------------------------------------------------------------------------------------------------------------------* *KEYNOTE SPEAKERS* ? Federico Battiston Central European University, Austria ? Tina Eliassi-Rad Northeastern University, USA ? Frank Emmert-Streib Tampere University, Finland ? Filippo Menczer Indiana University, USA ? Luciano Pietronero University of Rome, Italy *----------------------------------------------------------------------------------------------------------------------------------------------* *TUTORIALS (December 09, 2024)* ? Alessandro Galeazzi University of Padova, Italy ? Clara Stegehuis Twente University, The Netherlands *----------------------------------------------------------------------------------------------------------------------------------------------* *CONTRIBUTIONS* *Full papers: *not previously published up to 12 pages ? *Papers *will be included in the conference *proceedings edited by Springer* *Extended Abstracts*: about published or unpublished research up to 4 pages . ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* ? *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* *----------------------------------------------------------------------------------------------------------------------------------------------* *JOURNAL SPECIAL ISSUES* *Extended versions of accepted contributions will be invited for publication in special issues of :* o PLOS Complex Systems edited by PLOS . o PLOS One edited by PLOS o Applied Network Science edited by Springer Nature o Social Network Analysis and Mining edited by Springer Nature o Computational & Mathematical organization edited by Springer Nature o Advances in Complex Systems edited by World Scientific o Complex Systems Journal *Invitation Notification: December 18,2024* *Submission Deadline: February 28,2025* *----------------------------------------------------------------------------------------------------------------------------------------------* *SUBMISSION* *Refer to **https://complexnetworks.org/submission/* *----------------------------------------------------------------------------------------------------------------------------------------------* *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *-----------------------------------------------------------------------------------------------------------------------------------------* For further information and inquiries, please contact us at info at complexnetworks.org Join us at COMPLEX NETWORKS 2024 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems Founding & Adisory Editor Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimo.srt at gmail.com Fri Jun 21 03:43:35 2024 From: massimo.srt at gmail.com (Massimo Sartori) Date: Fri, 21 Jun 2024 09:43:35 +0200 Subject: Connectionists: [jobs] PhD Call: Characterization of structural remodelling in tissue-engineered human skeletal muscles in vitro during multi-week eccentric training Message-ID: Are you interested in laying down the basis for developing breakthrough regenerative robotic technologies for restoring movement following neuromuscular injuries such as stroke? Are you passionate about investigating how skeletal muscles remodel their biological structure when exposed to electrical and mechanical stimuli over multiple weeks? Are you interested in doing so by combining advanced *in vitro*techniques for tissue-engineering muscles from human induced pluripotent stem cells together with computational modelling techniques? The Neuro-Mechanical Modeling and Engineering Lab (http://bit.ly/NMLab) is seeking for an outstanding PhD candidate fellow to work within our new Project ROBOREACTOR funded by the prestigious European Research Council (Consolidator Grant). You will join an international team working on a novel and ambitious project at the frontiers of muscle neurophysiology, muscle tissue regeneration and regenerative robotics (http://bit.ly/NMLTube ). The opening: We are seeking for a motivated person that understands the physiology of skeletal muscles and isenthusiastic about working in cell culture labs for creating tissue-engineered skeletal muscles *in vitro* from human induced pluripotent stem cells (hiPSCs). We are also looking for someone who will design four-week eccentric training protocols for pacing the tissue-engineered muscles and analyze how these tissues remodel their morphology over time *e.g.*, genesis of sarcomeres (*i.e.*, in parallel and in series), phenotype (*i.e.*, fiber type transition between fast and slow types), and changes in tissue force-generating capacity. We are also looking for somebody who can learn to use computational modelling to predict how tissue-engineered muscles remodel during the 4-week eccentric training. Your tasks will be: - Design and conduct 4-week *in vitro* experiments on tissue-engineered skeletal muscle to mimic eccentric muscle training, incorporating both electrical and mechanical pacing. - To characterize structural remodelling in the tissue-engineered muscles. This implies the ability of characterizing changes in tissue force-generating capacity, morphology, phenotype and myotrophic factors. - Use the gathered data to establish computational models of muscle structural remodelling. Your work will be facilitated by in-house expertise and mentorship. You will collaborate with top-scientists on aspects including muscle-on-a-chip and statistical modelling, giving large opportunity to perform impactful research! Information and application Apply by August 18th, 2024 from this link: https://utwentecareers.nl/en/vacancies/1829/phd-position-in-characterization-of-structural-remodelling-in-tissue-engineered-human-skeletal-muscles-in-vitro-during-multi-week-eccentric-training/ Applications must include the following documents: - A video (2-minute max) describing your scientific interests and why you want to apply for this position. - A cover letter (1-page max) specifying how your experience and skills match the position as well as summarizing work in your masters. - A CV including English proficiency level, nationality, visa requirements, date of birth, experience overview, and publication list. - Contact information for at least two academic references. A support letter will be requested only if your application is considered. The first interview will take place in the week of September the 2nd. Start of the contract is expected as soon as possible and no later than December 2024. For questions, please contact Prof. Massimo Sartori, mail: m.sartori at utwente.nl. Please, only apply via the web platform and not via email. --- Massimo Sartori Full Professor and Head of Chair, Neuromuscular Robotics Lab Head, Neuromechanical Modeling and Engineering Lab University of Twente, TechMed Centre, Robotics Centre Faculty of Engineering Technology Department of Biomechanical Engineering 7500 AE, The Netherlands Personal: https://people.utwente.nl/m.sartori Lab: https://bit.ly/NMLab YouTube: https://bit.ly/NMLTube !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Listen to our podcast on AI-powered Digital Human Twins! Watch our work on bionic legs featured on Dutch TV! !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! [image: A picture containing icon Description automatically generated] -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Fri Jun 21 04:50:54 2024 From: efipatm at gmail.com (Efi) Date: Fri, 21 Jun 2024 11:50:54 +0300 Subject: Connectionists: Invitation: Summer School "CVML Programming Short Course and Workshop on Deep Learning, Computer Vision and Big Data Analytics 2024", 27-29 August 2024, Thessaloniki, Greece. Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the Artificial Intelligence and Information Analysis (AIIA ) Lab of Aristotle University of Thessaloniki (AUTH) in cooperation with (TEMA) R&D project, the International AI Doctoral Academy (AIDA ), is excited to invite you to register and attend the upcoming ?CVML Programming Short Course and Workshop on Deep Learning, Computer Vision and Big Data Analytics 2024 ? which will take place in Thessaloniki, Greece from August 27th to 29th 2024. This Summer School offers a three-day short course that delivers an in-depth exploration of programming tools and techniques for addressing a variety of computer vision and deep learning challenges. The course focuses on the fundamentals of deep learning and its applications in Natural Disaster Management. Here's a glimpse of what the course entails: - Deep neural networks ? Convolutional NNs - 2D Object Tracking in Embedded Systems - Real Time Object Detection. - Real-Time Image Segmentation. - Natural Language Processing. - Explainability in Computer Vision applications. Additionally, hands-on programming workshops will be conducted on each topic, providing participants with practical experience and skills enhancement. *Details* *Host Institution*: *Aristotle University of Thessaloniki* *27, 28, 29 August 2024, 08:30 - 16:30 EEST (UTC + 3 hours)* *On-site Participation: **KEDEA* * Building, AUTH, Thessaloniki, Greece* *General Registration* Early registration (till 15/07/2024) Students/Scientists, Engineers from other scientific disciplines having the necessary mathematical background are also welcomed to register. *Special Registration for AIDA Students** On top of the above registration, also enroll on this course using the ?ENROLL ON THIS COURSE? button on the AIDA course page , so that this course is included on your AIDA Certificate of Course Attendance upon successful completion of the program. *AIDA Students are PhD students/candidates or Postdoc researchers belonging to any AIDA member . Upon successful completion of the course, participants will receive a *certificate of attendance* issued by Aristotle University of Thessaloniki. *For more details, please visit*: https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-computer-vision-and-big-data-analytics-2024/ This summer school is technically sponsored by TEMA , AI.BIG Cluster , AIDA , AI4Media R&D projects. School Organizer: Prof. Ioannis Pitas Chair of the International AI Doctoral Academy (AIDA), Director of the Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece [image: poster_summer school 2024 (1).jpg] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: poster_summer school 2024 (1).jpg Type: image/jpeg Size: 153926 bytes Desc: not available URL: From emergingtechnetwork.publicity at gmail.com Thu Jun 20 14:00:37 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Thu, 20 Jun 2024 21:00:37 +0300 Subject: Connectionists: ICCNS Final CFP (Hybrid Conference Co-Sponsored by IEEE):The International Conference on Intelligent Computing, Communication, Networking and Services, Dubrovnik, Croatia. Message-ID: [Apologies if you got multiple copies of this invitation] The International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2024) Hybrid Event https://iccns-conference.org/2024/index.php 24-27 Sept. 2024 | DUBROVNIK, CROATIA. Technically Co-Sponsored by IEEE Croatia section *ICCNS 2024 CFP:* With the advancements in wireless communication systems like Fifth Generation (5G), beyond 5G (B5G) and the Sixth Generation (6G), new and unprecedent services will be available for users with nearly unlimited capacity. These services will be the core driver of the future digital transformation of our cities and communities. This will be accompanied by a ubiquities deployment of the Internet of Things (IoT) infrastructure and supported by computing capacity that will be available at the edge of the network and at the cloud. The computing infrastructure will be handling the processing of the data generated by the users and services. Such a complex and diverse system will require an efficient and sustainable applications running on the computing\Networking infrastructure and also a smart control and automation systems to integrate and manage its different components. Artificial Intelligence (AI) and its applications will play a significant role on the design, deployment, automation and management of the future services. This will include the applications that will be running on the edge and the cloud servers, the networking applications to handle the flow of data between the users and the computing system and the intelligent automation and management software operating on the system. The International Conference on Intelligent Computing, Networking and Services is aiming to provide an opportunity to present the state of the art research in the intersections of Computing, Networking and Services that is supported by Artificial Intelligence. Researchers from both the industry and academia are encouraged to submit their original research contributions in all major areas, which include, but not limited to: - Track 1: Artificial Intelligence Fundamentals - Track 2: Intelligent Internet of Things and Cyber-Physical Systems - Track 3: Edge Intelligence and Federated Learning - Track 4: Intelligent Networking in Beyond 5G (B5G) and 6G Wireless Communication - Track 5: Intelligent Big Data Management and Processing - Track 6: Intelligent Security and Privacy - Track 7: Blockchain Research & Applications for Intelligent Networks and Services *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICCNS Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *Important Dates:* - *Paper submission deadline: July 10, 2024 (Firm and Final) * - Notification of acceptance: August 5, 2024 - Camera-ready Submission: August 25, 2024 *Contact:* Please send any inquiry on ICCNS to: info at iccns-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From isclab.uu at gmail.com Thu Jun 20 08:13:42 2024 From: isclab.uu at gmail.com (ISCL UU) Date: Thu, 20 Jun 2024 14:13:42 +0200 Subject: Connectionists: PhD position in Machine Learning and Computer Vision - Uppsala University Message-ID: <5CB84182-0AA4-4178-9CF7-B994D9C8F71E@gmail.com> A fully funded PhD position in Machine Learning and Computer Vision is available at Uppsala University, Sweden. The position is a part of the Beijer Laboratory for Artificial Intelligence Research , funded by Kjell and M?rta Beijer Foundation. We are looking for candidates with a strong interest in deep learning, image analysis and neural language modeling, good communication skills, excellent study results, programming proficiency (preferably in Python), and personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving are essential. In this project you will join us in conducting fundamental machine learning research and developing principled foundations of vision-language models, with opportunities to validate the methods on challenging real-world problems involving computer vision. Read more about the position (link ) and apply via the link by 12th Aug. 2024! As an employer, we invest in sustainable employeeship and offer safe, favorable working conditions with attractive pay and benefits. Read more about our benefits and what it is like to work at Uppsala University, Sweden Contact Assistant Professor Ekta Vats with any questions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.ciaramella at uniparthenope.it Fri Jun 21 08:38:50 2024 From: angelo.ciaramella at uniparthenope.it (Angelo Ciaramella) Date: Fri, 21 Jun 2024 12:38:50 +0000 Subject: Connectionists: PhD Position - Artificial Intelligence methodologies applied to geophysical data for understanding natural hazards Message-ID: Dear, I would like to inform about the following PhD position. Best Regards, Angelo Ciaramella PhD Position - National Interest PhD Course ?Artificial Intelligence for Agrifood and the Environment?, University of Naples ?Federico II?, A.Y. 2024/2025 (40th Cycle) Topic: Artificial Intelligence methodologies applied to geophysical data for understanding natural hazards Aim: The project is related to a collaboration between the University of Naples Parthenope and the National Institute of Geophysics and Volcanology (INGV) for the understanding of natural hazards deriving from the study of geophysical data, such as those related to the Phlegraean fields in the Naples area, by means of Artificial Intelligence-based techniques. The aim is to study, develop and apply Artificial Intelligence methodologies, such as Deep Learning and Neuro-Symbolic techniques, to multimodal geophysical data (e.g., localized GPS and seismic signals for the study of ground deformation) for environmental risk assessment with a focus on context awareness and eXplainable Artificial Intelligence. Contacts: Applicants are strongly encouraged to contact the prospective tutors before they submit their application: Angelo Ciaramella , Gianpaolo Cecere Application: http://www.unina.it/documents/11958/56904538/DOTT_ciclo40_20240530_bando.pdf http://www.unina.it/didattica/post-laurea/dottorati-di-ricerca/bandi-di-ammissione Application?s deadline: The 2024 Doctorate Call will close on July 1th 2024 at 12 noon (CET) _______________________________ Angelo Ciaramella - School of Science, Engineering and Health, Department of Science and Technology, University of Naples Parthenope - Room 431 (4th floor ? north side), block C4, Centro Direzionale di Napoli (CdN) - I-80143, Naples, Italy - tel.: 0815476674 - e-mail: angelo.ciaramella at uniparthenope.it - web page: https://www.uniparthenope.it/Portale-Ateneo/organigramma/2666 -------------- next part -------------- An HTML attachment was scrubbed... URL: From battleday at g.harvard.edu Fri Jun 21 10:02:04 2024 From: battleday at g.harvard.edu (Battleday, Ruairidh) Date: Fri, 21 Jun 2024 16:02:04 +0200 Subject: Connectionists: Mathematics of Neuroscience and AI Conference talks uploaded to YouTube Message-ID: Dear all, The talks are now uploaded from our Convention on the Mathematics of Neuroscience and AI last month in Rome (www.neuromonster.org)! Twitter link: https://x.com/RMBattleday/status/1802616511879696649 YouTube: https://youtube.com/playlist?list=PLA59nMLAkDyiyYoISlQDDnMY4pxKmTsBC&si=OyYKPBVqOF93axg_ LinkedIn: https://www.linkedin.com/posts/ruairidh-battleday-648a2b65_talks-now-uploaded-from-our-convention-on-activity-7208382885714653185-_wPB?utm_source=share&utm_medium=member_desktop Thanks to everyone that came and contributed, and made it such a blast! All the best, Ruairidh -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Fri Jun 21 10:24:03 2024 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Fri, 21 Jun 2024 16:24:03 +0200 Subject: Connectionists: SUM 2024 - Call with EXTENDED DEADLINE (11 July) Message-ID: ***Apologies if you receive multiple copies. Please disseminate to potentially interested colleagues.*** Dear colleagues, Due to various requests, we have decided to extend the SUM 2024 submission deadline to the 11 July. Please find below the main information regarding the conference. ========================================= Conference announcement + key dates ***EXTENDED*** ========================================= The 16th International Conference on Scalable Uncertainty Management (SUM 2024) will be held in Palermo, Italy from November 27-29, 2024. See: https://sum2024.unipa.it/ Key dates (CET 23:59): Abstract Submission (optional but useful to organizers): June 24, 2024 Paper Submission: July 11, 2024 Notification: August 31, 2024 Camera-ready copies: September 15, 2024 Conference: Nov. 27-29, 2024 ============= Description ============= Established in 2007, the SUM conferences are annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference. ===================== Topics of Interest ===================== We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): Imperfect information in databases - Methods for modeling, indexing, and querying uncertain databases - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases? - Data provenance and trust - Data summarization - Very large datasets Imperfect information in information retrieval and semantic web applications - Approximate schema and ontology matching - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web Imperfect information in artificial intelligence - Statistical relational learning, graphical models, probabilistic inference Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Learning from data Risk analysis - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results ======================== Submission Guidelines ======================== SUM 2024 solicits original papers in the following three categories: - Long papers (at most 14 pages, references excluded): technical papers reporting original research or survey papers - Short papers (between 4 and 7 pages, references excluded): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference All SUM submissions must be formatted according to the LNCS/LNAI guidelines:https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2024 ============= Publication ============= Accepted long (at most 14 pages) and short papers (2-7 pages) will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts (2 pages) will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet). ========================================================================================= Organization ========================================================================================= S?bastien Destercke (Universit? de technologie de Compi?gne), PC Co Chair Maria Vanina Martinez (IIIA-CSIC), PC Co Chair Giuseppe Sanfilippo, (University of Palermo), General/Local Chair From federica.proiettosalanitri at unict.it Fri Jun 21 09:51:01 2024 From: federica.proiettosalanitri at unict.it (Federica Proietto Salanitri) Date: Fri, 21 Jun 2024 13:51:01 +0000 Subject: Connectionists: [CFP] [DEADLINE EXTENSION][MICCAIW] AIPAD: AI in Pancreatic Disease Detection and Diagnosis In-Reply-To: References: Message-ID: --- Call for papers - Apologies for multiple posting --- Workshop on AI in Pancreatic Disease Detection and Diagnosis Held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)? - October 10, 2024, Marrakesh (Morocco) Web site: https://aipad-miccai.github.io/ --------------------DEADLINE EXTENSION-------------------- Important dates Paper submission deadline: June 24, 2024 June 29, 2024 Notification to authors: July 15, 2024 Camera-ready deadline: July 30, 2024 Invited Speaker * Dr. Zongwei Zhou, Assistant Research Scientist at Johns Hopkins University ?Analysis of Pancreatic Tumors by Synthesis? About The domain of medical imaging is experiencing a transformative shift through the application of artificial intelligence and deep learning, providing clinicians with new tools for diagnosis and treatment planning. As these technologies evolve, they hold the potential to significantly enhance the accuracy and efficiency of medical imaging interpretations. Nevertheless, unlike other organs like the brain, lungs or liver, the pancreas has a uniquely complex anatomical structure that sets it apart as a significantly distinct case. Factors such as age, gender and adiposity may largely contribute to variations in pancreas? size, shape and location. Despite its small size and similarity to surrounding abdominal tissues, diseases affecting the pancreas (diabetes, pancreatic cancer, pancreatitis) pose considerable threats to individuals. The workshop ?AIPAD: AI in Pancreatic Disease Detection and Diagnosis? aims to focus on the cutting-age of AI applications in pancreatic health, with a special emphasis on image analysis, while also encompassing the broader scope of deep learning applications such as predictive analytics, treatment planning, and outcome evaluation. Our goal is to catalyze collaborative problem-solving and spearhead innovation in this specialized yet critical area of medical imaging. Topics Potential topics include, but are not limited to: * AI-driven techniques for enhancing pancreatic image quality and detail resolution. * Deep learning models for accurate classification and segmentation of pancreatic structures. * Multi-modal data integration using AI to provide a comprehensive view of pancreatic health. * Addressing small sample sizes and class imbalance in pancreatic datasets with AI. * AI solutions for artifact reduction and signal enhancement in pancreatic imaging. * Utilizing transfer learning to supplement pancreatic imaging data scarcity with larger, external datasets. * Weakly supervised learning for the detection, characterization, and risk assessment of pancreatic lesions with minimal annotated data. * Use of foundational models in the development of diagnostic, prognostic, and therapeutic tools for pancreatic diseases. * Examination of privacy-preserving techniques in AI for pancreatic health, addressing the challenges of data protection and confidentiality while enabling collaborative research and data sharing. * Development of interpretable AI models for pancreatic imaging and data analysis, emphasizing the need for clear decision-making due to the pancreas?s complex anatomy and the often subtle presentation of pancreatic diseases. * Creation and curation of richly annotated pancreatic datasets for AI applications. * AI methodologies for robust segmentation and quantification of pancreatic tumors. * Tailored evaluation and validation frameworks for AI tools in pancreatic imaging. * Discussion of ethical implications surrounding the application of AI in pancreatic imaging. Proceedings Accepted papers will be published in Springer LNCS in a separate proceedings book. Organizers Federica Proietto Salanitri - University of Catania, Italy Serestina Viriri - University of KwaZulu-Natal, South Africa Ulas Bagci - Northwestern University, USA Pallavi Tiwari - University of Wisconsin Madison, USA Boqing Gong - Google DeepMind, USA Concetto Spampinato - University of Catania, Italy Zheyuan Zhang - Northwestern University, USA We hope to see you in Marrakesh! -------------- next part -------------- An HTML attachment was scrubbed... URL: From dr.curto at icloud.com Sat Jun 22 14:37:13 2024 From: dr.curto at icloud.com (=?utf-8?B?IkouIGRlIEN1cnTDsiI=?=) Date: Sat, 22 Jun 2024 18:37:13 +0000 (UTC) Subject: Connectionists: =?utf-8?q?Call_for_Papers=3A_Special_Issue_on_=22?= =?utf-8?q?Visual_Language_Models_and_Large_Language_Models_for_Unmanned_A?= =?utf-8?q?erial_Vehicles=22_-_Deadline=3A_31_December_2024?= Message-ID: <32db3d97-f30b-44cb-a6d3-2461de6e6f88@me.com> Dear Colleagues, We are excited to announce a Special Issue of MDPI Drones titled "Visual Language Models and Large Language Models for Unmanned Aerial Vehicles," with a submission deadline of 31 December 2024. We invite you to contribute your research to this Special Issue, which aims to explore the integration of Visual Language Models (VLMs) and Large Language Models (LLMs) into UAVs. Link: https://www.mdpi.com/journal/drones/special_issues/NXAHUFC2BP Special Issue Information The rapid advancements in artificial intelligence, particularly in the domains of computer vision and natural language processing, have created new possibilities for enhancing the capabilities of Unmanned Aerial Vehicles (UAVs). This Special Issue focuses on the application, challenges, and future directions of integrating VLMs and LLMs into UAVs. Visual Language Models have demonstrated remarkable performance in tasks such as object detection, image captioning, and visual question answering, enabling UAVs to perceive and understand their surroundings with unprecedented accuracy and efficiency. Large Language Models, on the other hand, have shown impressive capabilities in natural language understanding, generation, and reasoning. Incorporating LLMs into UAVs can facilitate seamless human?machine interaction, enabling users to control and communicate with drones using natural language commands. Topics of Interest We welcome original research articles, review papers, and case studies on the following topics (but not limited to): Object detection and tracking using VLMs in UAVs Semantic segmentation and scene understanding for enhanced UAV navigation Visual question answering and visual dialog systems for UAV?human interaction Natural language processing techniques for UAV mission planning and execution Integration of VLMs and LLMs for autonomous UAV decision making Few-shot learning and transfer learning approaches for adapting VLMs and LLMs to UAV-specific tasks Efficient deployment of VLMs and LLMs on resource-constrained UAV platforms Real-time performance optimization techniques for VLMs and LLMs in UAVs Robustness and reliability of VLMs and LLMs in complex and dynamic environments Ethical considerations and safety measures for deploying VLMs and LLMs in UAVs Submission Information Manuscripts should be submitted online at MDPI Submission Portal by registering and logging in. Once registered, use the previous webpage link to submit your manuscript. The deadline for manuscript submissions is 31 December 2024. All submissions that pass pre-check are peer-reviewed, and accepted papers will be published continuously in the journal and listed together on the Special Issue website. Guest Editors Prof. Dr. Carlos Tavares Calafate Prof. Dr. I. de Zarz? Prof. Dr. J. de Curt? We look forward to receiving your submissions and contributing to the advancement of intelligent and autonomous UAV systems powered by VLMs and LLMs. Best regards, Prof. Dr. Carlos Tavares Calafate Prof. Dr. I. de Zarz? Prof. Dr. J. de Curt? Guest Editors, MDPI Drones MDPI Drones, Impact Factor (2023): 4.4, Q1: Remote Sensing. 5-Year Impact Factor: 4.8 CiteScore (2023) : 5.6, Q1: Aerospace Engineering -- Professor Dr. de Curt?, J. Recognised Researcher, BARCELONA Supercomputing Center - Centro Nacional de Supercomputaci?n, Pla?a Eusebi G?ell, 1-3 Barcelona, 08034 Profesor Asociado, Universidad Pontificia Comillas, Alberto Aguilera, 23 Madrid, 28015 e-mail: jdecurto at icai.comillas.edu web: https://web.comillas.edu/profesor/jdecurto -------------- next part -------------- An HTML attachment was scrubbed... URL: From shyam at amrita.edu Sat Jun 22 15:20:25 2024 From: shyam at amrita.edu (Shyam Diwakar) Date: Sun, 23 Jun 2024 00:50:25 +0530 Subject: Connectionists: Call for Papers - International Conference on Gender and Technology 2025 Message-ID: Dear All, We are very happy to announce that the "International Conference on Gender and Technology 2025" will be held at Amrita University in Kerala, India, from January 16 to 19, 2025, and invite all to submit research papers for the conference. This flagship event is organized by Amrita University, in collaboration with UNESCO. IEEE Society on Social Implications of Technology (SSIT) and IEEE Kerala Section are technical co-sponsors for the conference. Submit your paper here Conference website Through peer-reviewed paper publications and presentations, keynote sessions, panel discussions, and a GenAI x Gender Tech hackathon, the conference aims to be a catalyst for change. We will inform, encourage, and celebrate technology designed with inclusion in mind, with a particular focus on women's empowerment. We will explore how women can lead the charge in creating technology that not only transforms their lives but also creates positive outcomes for all. We will bring together diverse stakeholders, including UN agencies, Government representatives, academicians, experts, policymakers, civil society, industry, gender financing institutions, senior and early researchers, and students, to facilitate an intergenerational and interdisciplinary dialogue. Conference activities will also include a poster session, a concluding awards ceremony for best conference papers, posters, and hackathon teams, a gala dinner and cultural performances. ***************************** TOPICS ***************************** The conference will focus on (but is not limited to) the below core thematic areas, through the lens of gender and emerging technologies such as AI, blockchain, AR/VR, Robotics, Neuroscience, etc. For more details on each theme below, please visit our conference website. 1. Gender, Society, and Representation in Emerging Technologies 2. Climate Change, Environment, and Gender 3. Gender, Livelihood, and the Future of Work 4. Women?s Health and Sanitation in the Digital Age 5. Safety and Security: Gendered Perspectives on New Technologies 6. Gender, Education, and Cultural Shifts through Technology 7. Socio-cultural Change, Access to Technology, and Gender Equity Politics 8. Building Inclusive Resilience to Disaster and Climate Change 9. Inclusive Technology Design for Social Good 10. Ethics, Data Science, and Social Problem Solving 11. Emerging Technologies: Opportunities and Vulnerabilities 12. Gender and Finance: Technological Innovations for Financial Inclusion ***************************** IMPORTANT DATES: ***************************** Paper Submission Deadline: August 30, 2024 Notification of Acceptance: October 15, 2024 Final Camera-ready Paper: November 15, 2024 Registration Deadline: December 15, 2024 ***************************** SUBMISSION GUIDELINES ***************************** Full Papers for Publication and Presentation (up to 6 pages in length, including the full reference section): Mature results, tested innovations, or completed projects. Poster Presentation (1?2 page summary/abstract): Discussion of fieldwork in progress (with insufficient results for a full paper) that addresses intention, unexpected challenges, unintended outcomes, successes, and failures. All papers must adhere to the IEEE Standard two-column conference format on A4 size paper in English. Use IEEE conference templates in Word or LaTeX to prepare your manuscript. The use of artificial intelligence (AI)?)-generated text in an article shall be disclosed in the acknowledgments section of any paper submitted. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. Any act of plagiarism will result in immediate rejection of the paper. Papers for publication must be submitted in full paper electronically via EDAS Submission System. Accepted papers presented by an original author or co-author will be published in the Conference Proceedings, and submitted for inclusion in IEEE Xplore and scopus indexing, subject to meeting IEEE Xplore?s scope and quality requirements. Posters will be published as an addendum to the conference proceedings and will not be submitted to IEEE Xplore or for scopus indexing. Join us at the 2025 International Conference on Gender and Technology to contribute to a dynamic exchange of ideas and insights shaping the future of technology through a gender lens. We look forward to your submissions and to welcoming you to Kerala, India, for the event. For inquiries, please contact: gendertechpublications at am.amrita.edu Submission can be sent at https://bit.ly/ICGT25 ***************************** CONTACT ***************************** E-mail (for general inquiries): gendertechconference at am.amrita.edu E-mail (for paper submission inquiries): gendertechpublications at am.amrita.edu Website: https://www.amrita.edu/events/gender-technology-conference-2025 -- Prof. Shyam Diwakar, Ph.D. Director - Amrita Mind Brain Center Faculty Fellow - Amrita Center for International Programs Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, Clappana P.O. Kollam, India. Pin: 690525 Ph:+91-476-2803501 Fax:+91-476-2899722 http://amrita.edu/mindbrain [https://ci3.googleusercontent.com/mail-sig/AIorK4y0J3snkg8ODMTKoZbKJ51foHfWT5hXcUN-0eGxQKCLyrG2639duxtiXXRDpJ3bDdLUxKKZCWU] [https://intranet.cb.amrita.edu/sig/RankingLogo.png] Disclaimer -------------- next part -------------- An HTML attachment was scrubbed... URL: From stm at socio.org.uk Sun Jun 23 03:07:09 2024 From: stm at socio.org.uk (STM STMet 2024) Date: Sun, 23 Jun 2024 12:37:09 +0530 (IST) Subject: Connectionists: Workshop on Data Analytics in Biomedicine Message-ID: <1264892302.2442968.1719126429296@ap1.myprofessionalmail.com> CALL FOR PAPERS First Workshop on "Data Analytics in Biomedicine" (held in conjunction with IEEE DDP2024) Fourth International Conference on Digital Data Processing Yeshiva University. New York, US 30 September ? 01 October 2024 CALL FOR PAPERS The exponential growth of data generated from various textual sources presents both a challenge and a huge opportunity. A key challenge lies in effectively managing and extracting valuable insights from this vast amount of unstructured and heterogeneous data. To address this issue, advanced data analytics techniques, ranging from data and text mining to semantic network analysis and recent advancements in large language models (LLMs), have become indispensable tools for researchers and practitioners. This is particularly relevant in the realm of biomedicine, where text mining has shown the ability to enable researchers to uncover hidden patterns, trends, and associations that would otherwise remain buried in the vast amount of health-related textual data, for instance, research articles, clinical reports, and electronic health records (EHRs). On the other hand, semantic network analysis, which focuses on understanding the structure and dynamics of networks formed by entities and their interconnections derived from text mining processes, can facilitate a deeper understanding of the complex interrelationships within biomedical data. By analyzing properties like centrality, modularity, and community structures, researchers can identify key nodes and critical pathways in biological networks, predict disease associations, and explore the functional organization of biological systems. The integration of text mining, semantic network analysis, and large language models offers a powerful approach to enhancing the ability to generate new hypotheses and insights and supporting the development of more effective diagnostics, treatments, and interventions. The workshop represents an opportunity to explore the latest advancements in data analytics and text mining in biomedicine. Attendees will gain insights into developing more interpretable models, handling large-scale biomedical datasets, and implementing scalable solutions for real-world healthcare applications. Moreover, the workshop is highly relevant because it has the potential to significantly improve the safety, effectiveness, and efficiency of biomedical interventions through advanced data analytics. TOPIC OF INTEREST We invite submissions on a wide range of topics, including but not limited to: Novel techniques and measures for assessing textual data quality and handling data integration. Advanced text mining techniques for biomedical data Construction and analysis of semantic networks in biomedicine Case studies on integrated text mining and semantic network analysis Applications of LLMs in biomedicine Data analytics in precision medicine Text-driven approaches to drug discovery Interpretable or scalable data analytics approaches Application of Data Analytics and network science in Narrative Medicine Computational methods for disease modeling and prediction Ethical considerations in biomedical data analytics Multimodal biomedical data analytics Future trends and challenges in biomedical data analytics PROGRAM The workshop will take place on (To Be Announced). The program has yet to be made available. The Venue is Yeshiva University, New York. PAPER SUBMISSION, REGISTRATION AND PUBLICATION Please refer to socio.org.uk/ddp/paper-submission/ IMPORTANT DATES Submission of Papers: August 05, 2024 Review and Notification: August 31, 2024 Camera-ready: Sep. 25, 2024 Workshop Date: Oct. 01, 2024 Post-conference proceedings: Nov. 30, 2024 WORKSHOP ORGANIZERS Chiara Zucco, University Magna Graecia of Catanzaro, Italy Marianna Milano, University Magna Graecia of Catanzaro, Italy PROGRAM COMMITTEE (TO BE CONFIRMED) Marzia Settino, University of Calabria, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy Maria Chiara Martinis, University Magna Graecia of Catanzaro, Italy Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy Pietro Cinaglia, University Magna Graecia of Catanzaro, Italy Ilaria Lazzaro, University Magna Graecia of Catanzaro, Italy ----------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Mon Jun 24 03:32:45 2024 From: dhansel0 at gmail.com (David Hansel) Date: Mon, 24 Jun 2024 10:32:45 +0300 Subject: Connectionists: World wide VVTNS series: Wednesday, June 26 at 11am (EDT), Eve Marder Brandeis University | Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the VVTNS fourth season final lecture given by Eve Marder Brandeis University on the topic of Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits The lecture will be held on zoom on *June 26, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *A fundamental problem in neuroscience is understanding how the properties of individual neurons and synapses contribute to neuronal circuit dynamics and behavior. In recent years we have done both computational and experimental studies that demonstrate that the same physiological output can arise from multiple, degenerate solutions, and that individual animals with similar behavior can nonetheless have quite different sets of underlying circuit parameters. Most recently, we have been studying the resilience of individual animals to perturbations such as temperature and high potassium concentrations. This has revealed that extreme environmental experiences can produce long-term changes in circuit performance that can be hidden, or ?cryptic? unless the animals are again challenged or perturbed. Our present experimental and computational work is designed to understand differential resilience in natural, wild-caught animals in response to climate change, and shows long-lasting influences of the animals? temperature history. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From maria.pavlovic at tuebingen.mpg.de Mon Jun 24 05:23:53 2024 From: maria.pavlovic at tuebingen.mpg.de (Pavlovic, Maria) Date: Mon, 24 Jun 2024 09:23:53 +0000 Subject: Connectionists: Reminder: Call for contribution and registration for Systems Vision Science Virtual Symposium July 12, 2024 Message-ID: <6d4c0bced13d4a8b8c66f196ed4c1a7a@tuebingen.mpg.de> Systems Vision Science Virtual Symposium: July 12th, 2024 -------------------------------- Systems Vision Science Virtual Symposium takes place on July 12th, 2024, 15:00-19:00 German time, as the end of the Systems Vision Science Virtual Summer School. This summer school and symposium are the virtual editions of the onsite summer school and symposium in 2023. We invite contribution and free registration for this symposium. -------------------------------- The presentations at the symposium will include two keynote speeches (30 minutes each): Keynote Speech 1: "Feedback processing in human visual cortex" by Sheng He , University of Minnesota and Chinese Academy of Science, Institute of Biophysics Keynote Speech 2: "Processing partially occluded objects in the primate brain" by Anitha Pasupathy , University of Washington, Department of Biological Structure and contributed speeches (15 minutes each). The topics of the presentations will be any topic of Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover and investigate functions and algorithms for vision in various brain regions and their implementations in neural circuits. -------------------------------- To contribute or register, please fill out our registration form (including an abstract for contribution), which can be found here: https://summerschool.lizhaoping.org/Form-to-register-or-submit-a-contributio n-to-the-SVS-symposium-2024.docx and send the filled form to svs.summerschool at tue.mpg.de Please direct inquiries to svs.summerschool at tue.mpg.de . -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Junhao Liang Ali Gholamzadeh Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org -------------- next part -------------- An HTML attachment was scrubbed... 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Name: smime.p7s Type: application/pkcs7-signature Size: 6707 bytes Desc: not available URL: From lalitta.suriya.arunroj at gmail.com Mon Jun 24 08:27:10 2024 From: lalitta.suriya.arunroj at gmail.com (Lalitta Suriya-Arunroj) Date: Mon, 24 Jun 2024 19:27:10 +0700 Subject: Connectionists: [BI 2024] Deadline approaching: CALL FOR WORKSHOP/SPECIAL SESSION PROPOSALS References: Message-ID: <96144239-86DA-48B7-8AA3-4CDB96F6EC7C@gmail.com> +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR WORKSHOP/SPECIAL SESSION PROPOSALS The 17th International Conference on Brain Informatics (BI'24) December 13-15, 2024 | Bangkok, Thailand The key theme: Brain Science meets Artificial Intelligence A hybrid conference with both online and offline modes History of BI: www.youtube.com/watch?v=Y2s78IIN-CQ Conference homepage: wi-consortium.org/conferences/bi2024/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Dear all, The Call for Workshop/Special Session Proposals is now opened for the 17th International Conference on Brain Informatics (BI?24). We hope this year's Workshop/Special Sessions will be enriched by your contribution and wish to see you in Bangkok! To proceed, please follow the instructions on our web page: https://wi-consortium.org/conferences/bi2024/call%20for%20tutorial.html Best regards, BI 2024 Workshop/Special session Co-Chairs Important Dates: - 30 June 2024: Workshop/Special Session Proposal Submission Deadline - 20 July 2024: Full Paper Submission Deadline - 20 August 2024: Abstract Presentation Submission Deadline Sponsored By: IEEE Computer Society Technical Committee on Intelligent Informatics (TCII: https://www.computer.org/communities/technical-committees/tcii) Web Intelligence Consortium (WIC: https://wi-consortium.org/) King Mongkut?s University of Technology Thonburi, Thailand (KMUTT: https://www.kmutt.ac.th/en/) Asia-Pacific Neural Network Society (APNNS) IEEE-CIS Brain Informatics Task Force IEEE-CIS Thailand Chapter Springer Nature ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 17th International Conference on Brain Informatics (BI'24) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'24 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High-quality BI conference papers may be nominated to submit an extended version for a fast-track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. *** Paper Submission and Publications *** 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format (https://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines). Overlength pages will be charged 100$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full-length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series (https://link.springer.com/conference/brain). Abstract Submission (Only for Workshops/Special Sessions): Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'24 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 30 June 2024: Workshop/Special session Proposal Deadline * 20 July 2024: Full Paper Submission Deadline * 20 August 2024: Abstract Presentation Submission Deadline * 10 September 2024: Final Paper and Abstract Acceptance Notification * 30 September 2024: Accepted Paper and Abstract Registration Deadline * 12 December 2024: Tutorials, Workshops and Special Sessions * 13-15 December 2024: The Brain Informatics Conference Organizing Committee ++++++++++++++++++ Honorary Chairs * Lin Chen, Institute of Biophysics, Chinese Academy of Sciences (CAS), China * Suvit Saetia, President, King Mongkut?s University of Technology Thonburi (KMUTT), Thailand General Chairs * Sirawaj Itthipuripat, KMUTT, Thailand * Giorgio Ascoli, George Mason University, USA * Anan Li, Huazhong University of Science and Technology, China Program Chairs * Nirun Pat, University of Otago, New Zealand * Claudio Angione, Teesside University, UK * Chaipat Chunharas, Chulalongkorn University, Thailand * Liya Ding, Southeast University, China * Peipeng Liang, CNU School of Psychology, China * Hieu Pham, VinUniversity, Vietnam Poster Session Chairs * Nguyen The Hoang Anh, Vietnam Academy of Science and Technology, Vietnam * Itthi Chatnuntawech, National Nanotechnology Center, Thailand * Tai Chaiamarit, Mahidol University, Thailand * Ioannis Pappas, University of Southern California, USA Workshop/Special Session Chairs * Lalitta Suriya-Arunroj, Chulalongkorn University, Thailand * Sittiprapa Isarangura, Mahidol University, Thailand * Lijuan Liu, Southeast University, China * Stephanie Nelli, Occidental College, USA * Nuttida Rungratsameetaweemana, Columbia University, USA * Shuqiang Wang, Shenzhen Institute of Advanced Technology, CAS, China Tutorial Chairs * Xiaofu He, Columbia University, USA * Thitaporn Chaisilprungraung, KMUTT, Thailand * Thiparat Chotibut, Chulalongkorn University, Thailand Financial Chair * Vajirasak Vanijja, KMUTT, Thailand Local Organizing Chairs * Duanghathai Wiwatratana, KMUTT, Thailand * Kanda Lertladaluck, KMUTT, Thailand * Kajornvut Ounjia, KMUTT, Thailand * Sarigga Pongsuwan, Research and Innovation Sustainability Center, Thailand * Kejkeaw Thanasuan, KMUTT, Thailand Publicity Chairs * Titipat Achakulvisut, Mahidol University, Thailand * Hongzhi Kuai, Maebashi Institute of Technology, Japan * Annalisa Occhipinti, Teesside University, UK Publication Chair * Hongzhi Kuai, Maebashi Institute of Technology, Japan Advisory Board ** Chair: Ning Zhong, Maebashi Institute of Technology, Japan * Jonathan Chan, KMUTT, Thailand * Tianzi Jiang, Institute of Automation, CAS, China * Nikola Kasabov, Auckland University of Technology, New Zealand * Hesheng Liu, MGH, Harvard Medical School, USA * Guoming Luan, Sanbo Brain Hospital, China * Mufti Mahmud, Nottingham Trent University, UK * Hanchuan Peng, SEU-Allen Institute for Brain & Intelligence, China * Stefano Panzeri, University Medical Center Hamburg-Eppendorf, Germany * Shinsuke Shimojo, California Institute of Technology, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.passarella at iit.cnr.it Mon Jun 24 05:00:01 2024 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Mon, 24 Jun 2024 09:00:01 +0000 Subject: Connectionists: OSNEM Special Issue:AI in Online Social Networks: opportunities and challenges Message-ID: <20240624090001.ogHm6%a.passarella@iit.cnr.it> ------------------------------------------------------------------------------ CALL FOR PAPERS Elsevier Online Social Networks and Media Journal (OSNEM) Special issue on AI in Online Social Networks: opportunities and challenges Submission Deadline: Continuous submissions until July 31st, 2024 https://www.sciencedirect.com/journal/online-social-networks-and-media ------------------------------------------------------------------------------ Online Social Networks and Media are a fundamental component of everyday life and the use of AI technologies in OSNEM can further boost their role. The use of AI in online social networks offers great opportunities and, at the same time, raises several challenges. AI's ability to analyze vast amounts of data in real-time allows social media platforms to offer highly personalized experiences to users. The use of AI may raise concerns about ethical issues such as privacy, algorithmic bias, misinformation, etc., but AI can also be used for content moderation on social media to detect and remove harmful or inappropriate content, identifying and mitigating the spread of fake news. etc. The use of AI on OSNEM can promote the democratic processes by facilitating the dissemination of information and encourage political engagement. On the other hand, AI algorithms can create echo chambers, influence voting behavior and generate significant risks for democracy. AI-driven security measures can help to protect OSNEM users from fraud and privacy breaches but, malicious actors can also use AI to support their attacks. The exponential diffusion of generative AI adds novel dimensions to this landscape, on the one hand supporting novel forms of interactions spanning into the Metaverse, but on the other hand exposing vulnerable users to dramatic threats. The aim of this special issue is to push the state of the art in using AI in OSNEM, by presenting quantitative contributions that investigate the opportunities and challenges of using AI in Online Social Networks. Within this framework, topics include, but are not limited to: - Using AI in OSNEM for personalization, efficiency, and recommendations; - AI-based studies for analysis and modelling of information and opinion dynamics in OSNEM; - AI-based predictions based on OSNEM data analysis; - AI impact on OSNEM security, trustworthiness and privacy; - Generative AI in OSNEM; - AI and social networking in the Metaverse; - AI methodologies for large-scale OSNEM data collection and analysis - AI methods to safeguard OSNEM users (e.g., bot detection, toxic content identification, content moderation, echo chamber avoidance) - Case studies of AI application in OSNEM Online Social Networks and Media is a multidisciplinary journal for the wide community of computer and network scientists working on developing OSNEM platforms and services and using OSNEM as a big data source to mine, learn and model the (online) human behaviour. Manuscripts only based on questionnaires, even focused on the reported use of social media, are outside the scope of the journal. On the other hand, the journal welcomes papers which present analyses based on big data mined from social networks/media. ----------------------------------------------------------------------------- Schedule Manuscript submission deadline: continuous submission until July 31st, 2024 (*) First notification: two months after the submission Expected publication: papers are published a few weeks after acceptance. Guest Editors Marco Conti, IIT-CNR, Italy Andrea Passarella, IIT-CNR, Italy ------------------------------------------------------------------------------ Instructions for submission Manuscripts must not have been previously published nor currently under review by other journals or conferences. If prior work was published in a conference, the submitted manuscript should include a substantial extension of at least 35% novel contributions. In this case, authors are also required to submit their published conference articles and a summary document explaining the enhancements made in the journal version. The submission website for this journal is located at https://www2.cloud.editorialmanager.com/osnem/default2.aspx. Please select ''VSI:AI&OSNEM'' when you reach the ''Article Type'' step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on ?AI&OSNEM?. (*) Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process will start immediately. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published in the journal website. For further information, please contact the guest editors at {m.conti,a.passarella} at iit.cnr.it From horacio.g.rotstein at njit.edu Mon Jun 24 08:38:24 2024 From: horacio.g.rotstein at njit.edu (Rotstein, Horacio G) Date: Mon, 24 Jun 2024 08:38:24 -0400 Subject: Connectionists: =?utf-8?q?CNS-2024_Workshop_on_=E2=80=9CNeuronal_?= =?utf-8?q?Oscillations=3A_From_Mechanisms_to_Computation=E2=80=9D?= =?utf-8?q?=3A_Information_and_call_for_spontaneous_presentations_b?= =?utf-8?q?y_members_of_the_community?= Message-ID: CNS-2024 Workshop on ?Neuronal Oscillations: From Mechanisms to Computation? Information and call for spontaneous presentations by members of the community The 2024 Annual Computational Neuroscience Meeting ( https://www.cnsorg.org/cns-2024; CNS-2024) will be in Natal, Brazil, July 20-24. The last two days of the meeting are devoted to workshops organized by members of the community. As in previous years, we are organizing a workshop on ?Oscillations: from mechanisms to computations?. The workshop is scheduled for July 24. The primary purpose of this workshop is to bring together modelers, experimentalists, and theorists with the goal of sharing and discussing their current results and ideas on the underlying mechanisms that govern the generation of these rhythms at various levels of organization, and their functional implications. Following the tradition of this workshop - We have reserved slots for members of the community whom we might not have been aware of their interest in actively participating in the workshop, particularly the more junior members of the community - We are calling for spontaneous five minutes long data blitz where interested students and postdocs can briefly present their work and contribute to the discussion - We will allow for ample time for discussion by keeping the talks relatively brief. We would like to conclude by having an open discussion on 1. The role of oscillations for neural computation 2. The opportunity that presents to the community to apply the insights from oscillatory dynamics in the brain to the design of artificial neural networks (ANNs). If time becomes an issue, we will have this discussion after the regular workshop schedule to allow for a larger group of participants. We will do our best to accommodate people who are interested in being part of the workshop and/or contribute to the discussion on the topics i and ii listed above. Please, contact us. Best regards, Horacio -- -- Horacio, NY/NJ area. "Az di bobe volt gehat beytsim volt zi geven mayn zeide" (Yiddish expression) Horacio G. Rotstein, PhD (he/they) Professor Mathematical Biology & Computational Neuroscience BioDatanamics Lab Federated Department of Biological Sciences Rutgers University / New Jersey Institute of Technology Newark, NJ, 07102, USA. Graduate Faculty Behavioral Neurosciences Program Rutgers University (NWK) tel: (1-973) 596-8460 e-mail: horacio at njit.edu horacior at andromeda.rutgers.edu http://web.njit.edu/~horacio -------------- next part -------------- An HTML attachment was scrubbed... URL: From michal.ptaszynski at gmail.com Mon Jun 24 09:43:59 2024 From: michal.ptaszynski at gmail.com (Ptaszynski Michal) Date: Mon, 24 Jun 2024 22:43:59 +0900 Subject: Connectionists: [CfP] LaCATODA 2024 at PRICAI 2024, Kyoto, Japan (Linguistic and Cognitive Approaches to Dialog Agents) Message-ID: <46B90513-1E0B-423B-9C08-A523610E0AA1@gmail.com> ** Sorry for cross-postings ** This is Michal Ptaszynski from KIT, Japan. We are organizing LaCATODA workshop at PRICAI in Kyoto this year. Please, consider sending a paper. :) Best regards, Michal PTASZYNSKI, Ph.D., Associate Professor Text Information Processing Laboratory, Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan TEL/FAX: +81-157-26-9327 michal at mail.kitami-it.ac.jp ----------- ========================================================== The Ninth Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2024) (PRICAI 2024 Workshop) https://sites.google.com/view/lacatoda2024 Venue: Kyoto, Japan & online (in conjunction with PRICAI 2024, https://www.pricai.org/2024/) ========================================================== Short Description: A multidisciplinary workshop for researchers who develop more sophisticated dialog agents and methods for achieving more natural machine-generated conversation or study problems of human communication which are difficult to mimic algorithmically. Workshop Goals: The more human-like machine intelligence engineers develop, the more important is for them to be familiar with advances in fields traditionally focusing on humans ? ethics, psychology, linguistics, or cognitive science. In the age of data explosion, advancing hardware and more powerful learning algorithms, it has been becoming obvious that we need to study mechanisms underlying what we call a natural dialog, how we track a conversation or what we remember. It is not enough to pay attention what information is conveyed but also how it is conveyed. For this reason we extend topics to knowledge-related topics to seek answers to questions like how an utterance can become harmful, amusing, beautiful or interesting. We aim to gather AI researchers who realize that in spite of current popularity of GenAI "chatbots", they are not really dialog systems and it is necessary to extend existing and propose new algorithms to perform natural conversation. We will call for papers regarding research not only on the latest trends but also on revisiting classic studies related to dialog and understanding, as the AI developments allow to utilize theories that had focused on human interaction and understanding in the past. The workshop intends to spark an interdisciplinary discussion on affect in dialog understanding and generation tasks. ------------------------------------------------------------------ Important Dates: Paper Submission deadline: August 18th, 2024 (11:59PM UTC-12:00, "anywhere on Earth") Acceptance notification: September 18th, 2024 Camera ready deadline: October 1st, 2024 LaCATODA 2024 Workshop: 19 November 2024 Submission: https://easychair.org/conferences/?conf=lacatoda2024 ------------------------------------------------------------------ Relevant Topics: - Affective computing - Affect-related knowledge acquisition - Artificial assistants and tutors - Artificial General Intelligence - Attention and focus in dialog processing - Common sense knowledge and reasoning - Computational cognition - Daily life assistants - Emotional intelligence simulations - Ethical reasoning - Humor processing - Language acquisition - Machine learning for dialog - Text mining for dialog - Persona and user modeling - Philosophy of emotions in communication - Preference models - Retrieval-based dialog systems - Systems and approaches combining above topics Organizers: Rafal Rzepka, Hokkaido University, Japan Michal Ptaszynski, Kitami institute of Technology, Japan Pawel Dybala, Jagiellonian University, Poland Siaw-Fong Chung, National Chengchi University, Taiwan Jordi Vallverd?, Autonomous University of Barcelona, Spain From alinepaes at ic.uff.br Mon Jun 24 13:38:22 2024 From: alinepaes at ic.uff.br (Aline Paes) Date: Mon, 24 Jun 2024 14:38:22 -0300 Subject: Connectionists: [CFP] Last deadline extension - BRACIS 2024 - 34th Brazilian Conference on Intelligent Systems Message-ID: *Due to numerous requests, we are extending the deadline to July 1 (this is a firm deadline). We ask that potential authors register their papers by June 30 to allow us to begin the bidding process.* ########################################################################### TL;DR: BRACIS 2024 Call for Papers - The 34th Brazilian Conference on Intelligent Systems (BRACIS) will be held in Bel?m, Brazil, from November 17-21, 2024. This is Brazil's primary AI and CI event. It invites the submission of research papers on various AI topics. Please visit the website for more information about the location and venue. Key dates: paper registration by June 30, 2024; paper submission by July 01, 2024; notifications by August 21, 2024; and camera-ready copies by August 31, 2024. The conference introduces four tracks, including a new "Published Papers in Top Venues" track. Best papers may be invited for special issue publications. Submissions are via JEMS . More details are as follows. ############################################################################ The Program Committee of the 34th Brazilian Conference on Intelligent Systems (BRACIS) invites submissions of original research papers for the conference to be held in Bel?m, PA, Brazil ? **First edition in the North Region** ? from November 17th to 21st, 2024. BRACIS is the most important event in Brazil for researchers interested in publishing significant and novel results related to Artificial and Computational Intelligence. The Brazilian Conference on Intelligent Systems (BRACIS) originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (21 editions), and the Brazilian Symposium on Neural Networks - SBRN (12 editions). BRACIS, which previously had 12 editions, will now be recognized as the 34th edition when considering its history and the 21 editions of SBIA. The 34th BRACIS plays a pivotal role in AI in Brazil, serving as a hub for promoting theoretical concepts and applications in Artificial and Computational Intelligence. The event fosters a space for exchanging scientific ideas among researchers, practitioners, scientists, and engineers working toward advancing Artificial and Computational Intelligence science. This aligns with the goals of other major international conferences proposed in a similar period of time in the history of AI, such as the 37th AAAI, 32nd IJCAI, and 37th NeurIPS (formerly called NIPS). The 33 previous editions of BRACIS highlight the pioneering of the Brazilian AI Community. Just so you know, this year, we are inaugurating the track submissions. Please take a look at the more details in the Submission Details section. IMPORTANT DATES - Paper registration - June 30, 2024 - AoE - Paper submission - June 25, 2024 July 01, 2024- AoE - Notification to authors - August 21, 2024. - Camera-ready copy due - August 31, 2024. SPECIAL ISSUES Authors of the best papers will be invited to submit extended versions of their work to be appreciated for publication in special issues after the conference. SUBMISSION DETAILS BRACIS submission is double-anonymous (for tracks 1, 2 and 3). This means that both the reviewer and author's identities and institutions are concealed from the reviewers, and vice versa, throughout the review process. To facilitate this, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity. If you have published a non-anonymous version of your paper online before paper submission (e.g. arXiv), you can send an anonymous version to the conference. No references to the non-anonymous version should be in the anonymous version, and you should let the PC chairs know there is a non-anonymous version. You cannot update the online version nor publish information regarding the work on social media during the paper review period, as it can compromise the double-anonymous review process. We strongly encourage making code and data available anonymously (e.g., in an anonymous GitHub repository via Anonymous GitHub or in a Dropbox folder). Submitted papers must be written in English and be at most 15 pages, including all tables, figures, references, and appendices. Formatting instructions, as well as templates for Word and LaTeX, are available at Conference Proceedings guidelines . Springer?s proceedings LaTeX templates are also available in Overleaf . All submitted papers will be reviewed by at least three experts in the field. Accepted papers will be included in the BRACIS proceedings and submitted for publication in Springer in Lecture Notes in Artificial Intelligence (LNAI) series. Only PDF files can be uploaded to the submission system. For each accepted paper, at least one author must register for the conference and present the paper at the conference venue. Submissions must be made online using JEMS . ATTENTION Generative AI models (including Chat-GPT, BARD, LLaMA, Gemini, etc.) or similar LLMs do not meet the article authorship criteria for BRACIS 2024. However, we encourage articles that describe research on or involving such advanced AI models and tools. Authors who use an LLM in any part of the article writing process take full responsibility for all content, including checking for plagiarism and correcting all text. We suggest that this use be properly mentioned in the Acknowledgements section, with no harm in the evaluation process. ***** Tracks submission: New in this edition **** This year, BRACIS will have four tracks: 1. Main track: original works showing novel AI methods with sound results. 2. AI applications for Social Good: original works presenting novel Social Good applications using established AI methods. 3. General applications: original works presenting novel applications using established AI methods, naturally considering the ethical aspects of the application. 4. Published papers: papers published in top AI conferences or journals in 2023 or 2024 (as a guide, consider the international rankings CS Metrics and CS rankings by selecting AI area or subareas; others can also be considered). Tracks 1-3 will have no distinction regarding the publication format and the publication in the proceedings. For Track 4, authors must submit a publishable 2-page extended abstract (excluding references) that does not violate the copyright of the previous publication. Track 4 does not need to be double-anonymous, as authors must cite the venue of the previous publication. The accepted papers of all tracks will have the same slot for presentation during the conference. TOPICS OF INTEREST Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI). Topics of interest include (but are not restricted to): - Agent-based and Multi-Agent Systems - Cognitive Modeling and Human Interaction - Constraints and Search - Foundations of AI - Distributed AI - Information Retrieval, Integration, and Extraction - Knowledge Representation and Reasoning - Commonsense Reasoning - Model-Based Reasoning - Probabilistic Reasoning, and Approximate Reasoning - Ontologies and the Semantic Web - Logic-based Knowledge Representation and Reasoning - Natural Language Processing - Planning and Scheduling - Evolutionary Computation and Metaheuristics - Fuzzy Systems - Neural Networks - Deep Learning - Machine Learning and Data Mining - Meta-learning - Reinforcement Learning - Molecular and Quantum Computing - Pattern Recognition and Cluster Analysis - Hybrid Systems - Bioinformatics and Biomedical Engineering using AI - Combinatorial and Numerical Optimization - Computer Vision - Education for AI and AI for Education - Forecasting - Game Playing and Intelligent Interactive Entertainment - Intelligent Robotics - Multidisciplinary AI and CI - Foundation Models - Large Language Models - Human-centric AI - Generative AI - Ethics in AI GENERAL CHAIR Andr? Ponce (ICMC/USP) PROGRAM CHAIRS Aline Paes (IC/UFF) Filipe A. N. Verri (IEC/ITA) ------------------------------------------------------------------------------------------------- *Profa. Dra. Aline Paes (she/her)* *Associate professor - Computer Science (Artificial Intelligence)* Institute of Computing / Universidade Federal Fluminense (IC/UFF) Member of CE-PLN and BPLN CNPq PQ-E and FAPERJ JCNE __________________________________________________________ url: www.ic.uff.br/~alinepaes Av Gal Milton Tavares de Souza, S/N, Computing Building, Office 504 S?o Domingos, Niter?i, RJ, Brazil. ZIP 24210-346 ------------------------------------------------------------------------------------------------- ****Please do not feel any pressure to respond out of your own regular working hours. Remember that this is supposed to be an asynchronous tool*** -------------- next part -------------- An HTML attachment was scrubbed... URL: From kaiolae at ifi.uio.no Tue Jun 25 03:07:24 2024 From: kaiolae at ifi.uio.no (Kai Olav Ellefsen) Date: Tue, 25 Jun 2024 07:07:24 +0000 Subject: Connectionists: CfP 2025 IEEE Symposium on Computational Intelligence in Artificial Life and Cooperative Intelligent Systems Message-ID: <951379ffeb3e4b57a72ee167c94526b4@ifi.uio.no> IEEE ALIFE-CIS 2025 2025 IEEE Symposium on Computational Intelligence in Artificial Life and Cooperative Intelligent Systems https://ieee-ssci.org/?ui=ci-in-artificial-life-and-cooperative-intelligent-systems as part of 2025 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2025) Trondheim, Norway Mar. 17-20, 2025 https://ieee-ssci.org/ Call for papers The IEEE SSCI symposium on Artificial Life and Cooperative Intelligent Systems brings together researchers working on the emerging areas of Artificial Life and Complex Adaptive Systems, as well as Cooperative Intelligent Systems. The aim is to understand and synthesize life-like systems and to apply bio-inspired synthetic methods to other science/engineering disciplines, including Biology, Robotics, Social Sciences, among others. Artificial Life is the study of the simulation and synthesis of living systems, providing engineering with billions of years of design expertise to learn from and exploit through the example of the evolution of organic life on earth. Increased understanding of the massively successful design diversity, complexity, and adaptability of life is rapidly making inroads into all areas of engineering and the Sciences of the Artificial. Numerous applications of ideas from nature and their generalizations from life-as-we-know-it to life-as-it-could-be continually find their way into engineering and science. Cooperative Intelligence is a hallmark of social, economic, and differentiated multicellular systems, and is a source of inspiration for engineering methods and applications. The motivation is that the coordination among related systems may result in higher performance, more efficiency and lower costs compared with the case that single system/control is involved. Distributed coordination and optimization have attracted particular attention since they can be implemented without relying on central computing and extensive communication among the agents. Thus, designing effective distributed coordination strategies and optimization algorithms for various multi-agent systems both poses significant challenges as well as provides abundant research opportunities. The 2025 event marks a significant milestone in the evolution of IEEE SSCI, launching the newly restructured biennial Symposia Series featuring ten dedicated Applied Computational Intelligence Symposia, including ALIFE-CIS. For IEEE ALIFE-CIS, we are seeking contributions that address either theoretical developments or practical applications in these fields. Further, the Symposium aims to promote collaboration and the sharing of knowledge to develop the field of CI in Artificial Life and Cooperative Intelligent Systems. Please also see the CFP for the main IEEE SSCI conference. Publications Accepted full, short and late-breaking submissions after peer-review will be published in the IEEE SSCI conference proceedings. Submissions will be made via the main IEEE SSCI website. Important dates Full/Short Paper Submissions: Sep. 17, 2024 Notification to Authors: Nov. 19, 2024 Late-breaking submissions: Dec. 10, 2024 Camera-ready Submission: Dec. 18, 2024 Early Registration: Dec. 20, 2024 Topics Topics of interest include, but are not limited to: Artificial Life * Systems biology * Astrobiology * Origins of replicators and life * Major evolutionary transitions * Applications in nanotechnology and medicine * Genetic regulatory systems * Predictive methods for complex adaptive systems * Self-reproduction, self-repair, and morphogenesis * Constructive dynamical systems and complexity * Evolvability, heritability, and multicellularity * Sensor and actuator evolution and adaptation * Wet and dry artificial life * Emergence and complexity * Multiscale robustness and plasticity * Phenotypic plasticity and adaptability * Predictive methods for complex adaptive systems * Predictive methods for life-like systems * Automata networks and cellular automata * Ethics and philosophy * Co-evolution and symbiogenesis * Simulation and visualization tools * Replicator and interaction dynamics * Synchronization and biological clocks * Evolutionary developmental systems * Games and generalized biology * Emergence of signalling and communication * Synthetic cells and biomedical applications * Computational and physical autopoiesis Multi-Agent Systems * Modelling, identification and optimisation * Consensus, flocking and containment * Robust distributed control * Sampled-data and event-triggered control * Distributed diagnosis and fault tolerant control * Distributed optimisation * Coverage, searching and tracking * Agent-based data mining * Multi-agent UAV swarm * Agent-based swarms * Holonic agents * Semantic web agents * Multi-agent coordination * Multi-agent planning and re-planning * Communication networks in multi-agent systems * Social interactions Intelligent Agents * Embedded and robotic agents * Mobile agents * Autonomous knowledge and information agents * Autonomous auctions and negotiations * Agent-based market places * Agents for E-commerce * Agents for dialogue systems * Environment aware agents * Interaction histories and autobiographic agents * Agents for smart environments * Swarm intelligence * Self-maintenance, self-production, self-repair * Narrative and affective intelligence Vehicles * Distributed control autonomous vehicle networks * Agent-based UAV modelling * Agent-based unmanned vehicles * Self-* properties in vehicles, satellites and space-probes Human-like Intelligence * Human-agent interaction * Human-like intelligent behaviour * Cognitive-plausible architectures and systems * Human-like problem solving * Future generation computing models * Ambient intelligence * Human-centred robotic systems * Human-robot interaction Robot Intelligence * Adaptive, learning and evolutionary robotics * Networked intelligent robotics * Multi-robot systems * Collective decision making * Swarm robotics * Tele-operated robots * Minimal, adaptive, ontogenetic robotics * Social robotics * Sensor and actuator evolution and adaptation * Neurorobotics * Evolutionary robotics * Embodiment * human-robot interaction * Modular and self-reconfiguring robotics * Shape-morphing and soft robotics * Empowerment and information-theoretic methods * Perception-action loop and temporal horizon Organising committee * Stefano Nichele (chair) -- ?stfold University College -- stefano.nichele at hiof.no * Chrystopher Nehaniv -- University of Waterloo * Hiroki Sayama -- Binghamton University * Joseph Lizier -- The University of Sydney * Kai Olav Ellefsen -- University of Oslo * Eric Medvet -- University of Trieste * Mario Pavone -- University of Catania * Claus Aranha -- University of Tsukuba * Erica Salvato -- University of Trieste -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Tue Jun 25 08:59:08 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Tue, 25 Jun 2024 15:59:08 +0300 Subject: Connectionists: FLLM2024 CFP (Hybrid Event and Co-Sponsored by IEEE): The 2nd International Conference on Foundation and Large Language Models , 26-29 November, 2024 | Dubai, UAE Message-ID: [Apologies if you got multiple copies of this invitation] The 2nd International Conference on Foundation and Large Language Models (FLLM2024) Hybrid Event https://fllm2024.fllm-conference.org/index.php 26-29 November, 2024 | Dubai, UAE Technically Co-Sponsored by IEEE UAE Section *FLLM 2024 CFP:* With the emergence of foundation models (FMs) and Large Language Models (LLMs) that are trained on large amounts of data at scale and adaptable to a wide range of downstream applications, Artificial intelligence is experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new applications ranging from computer vision to protein sequence study and from speech recognition to coding. Earlier models had a reputation of starting from scratch with each new challenge. The capacity to experiment with, examine, and comprehend the capabilities and potentials of next-generation FMs is critical to undertaking this research and guiding its path. Nevertheless, these models are currently inaccessible as the resources required to train these models are highly concentrated in industry, and even the assets (data, code) required to replicate their training are frequently not released due to their demand in the real-time industry. At the moment, mostly large tech companies such as OpenAI, Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite the expected widely publicized use of FMs and LLMS, we still lack a comprehensive knowledge of how they operate, why they underperform, and what they are even capable of because of their emerging global qualities. To deal with these problems, we believe that much critical research on FMs and LLMS would necessitate extensive multidisciplinary collaboration, given their essentially social and technical structure. The International Conference on Foundation and Large Language Models (FLLM) addresses the architectures, applications, challenges, approaches, and future directions. We invite the submission of original papers on all topics related to FLLMs, with special interest in but not limited to: - *Architectures and Systems* - Transformers and Attention - Bidirectional Encoding - Autoregressive Models - Massive GPU Systems - Prompt Engineering - Multimodal LLMs - Fine-tuning - *Challenges* - Hallucination - Cost of Creation and Training - Energy and Sustainability Issues - Integration - Safety and Trustworthiness - Interpretability - Fairness - Social Impact - * Future Directions* - Generative AI - Explainability and EXplainable AI - Retrieval Augmented Generation (RAG) - Federated Learning for FLLM - Large Language Models Fine-Tuning on Graphs - Data Augmentation - * Natural Language Processing Applications* - Generation - Summarization - Rewrite - Search - Question Answering - Language Comprehension and Complex Reasoning - Clustering and Classification - * Applications* - Natural Language Processing - Communication Systems - Security and Privacy - Image Processing and Computer Vision - Life Sciences - Financial Systems *Joint Workshops:* *The International Workshop on Large Language Models Applications in Medical Informatics (LLMs4MI2024) * *The International Workshop on Advances of GenAI in Software Engineering (GenAISE 2024) * *The International Workshop on Large Language Models for Cybersecurity (LLMCS 2024) * *The International Workshop on Prompt Engineering Large Language Models (PromptEng 2024) * *The International Workshop on Generative AI for Textual Document Analysis (GENAIDOC 2024) * *The International Workshop on Sustainable AI for Natural Language Processing (SusAI 2024) * *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. *Important Dates:* - *Paper submission deadline: June 30, 2024* - Notification of acceptance: September 15, 2024 - Camera-ready Submission: October 10, 2024 *Contact:* Please send any inquiry on FLLM to: info at fllm-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Jun 25 12:48:38 2024 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 25 Jun 2024 19:48:38 +0300 Subject: Connectionists: REMINDER: World wide VVTNS series: Wednesday, June 26 at 11am (EDT), Eve Marder Brandeis University | Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the VVTNS fourth season final lecture given by Eve Marder Brandeis University on the topic of Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits The lecture will be held on zoom on *June 26, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *A fundamental problem in neuroscience is understanding how the properties of individual neurons and synapses contribute to neuronal circuit dynamics and behavior. In recent years we have done both computational and experimental studies that demonstrate that the same physiological output can arise from multiple, degenerate solutions, and that individual animals with similar behavior can nonetheless have quite different sets of underlying circuit parameters. Most recently, we have been studying the resilience of individual animals to perturbations such as temperature and high potassium concentrations. This has revealed that extreme environmental experiences can produce long-term changes in circuit performance that can be hidden, or ?cryptic? unless the animals are again challenged or perturbed. Our present experimental and computational work is designed to understand differential resilience in natural, wild-caught animals in response to climate change, and shows long-lasting influences of the animals? temperature history. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? -------------- next part -------------- An HTML attachment was scrubbed... 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Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From ai at okipublishing.com Tue Jun 25 11:26:04 2024 From: ai at okipublishing.com (AI Systems) Date: Tue, 25 Jun 2024 10:26:04 -0500 Subject: Connectionists: Due July 15: CAIS 2024 Automated and Intelligent Systems, Oct 1-3, OKCity, USA & Online In-Reply-To: <7d9c219dfd9fcc8419e250aee551a45b@okipublishing.com> References: <34ecb9557d78145e5e30464549a93f75@okipublishing.com> <7d9c219dfd9fcc8419e250aee551a45b@okipublishing.com> Message-ID: <0d9918c340a20b8d644a24e58d441026@okipublishing.com> [Apologies for cross-posting] --- Call for Abstracts and Papers ------------- 2024 OkIP International Conference on Automated and Intelligent Systems (CAIS) Downtown Oklahoma City, OK, USA & Online October 1-3, 2024 https://eventutor.com/e/CAIS004 Submission Deadline: July 15, 2024 Extended versions of the best papers will be considered for publication in the inaugural volume of the International Journal of Automated and Intelligent Systems. *** Contribution Types (Two-Column IEEE Format Style): - Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (1 page) *** Areas: - AI, Machine Learning (ML), and Applications - Agent-based, Automated, and Distributed Supports - Natural Language Processing (NLP) - Intelligent Systems and Applications - Knowledge-based and Control Supports - Automation, Robotics and Vehicles - Global AI - Generative AI Tools and Models - AI in Computing and Society - AI in Education - AI Engineering - Software Engineering for AI - Circuit, Design, and Hardware for AI - More details here... https://eventutor.com/event/47/program >> Important Dates: - Abstract or Paper Submission: July 15, 2024 - Author Notification: July 31, 2024 - Camera Ready Paper Submission, Registration: August 14, 2024 - Conference Date: October 1-3, 2024 *** Technical Program Committee https://eventutor.com/event/47/page/122-committee Please feel free to contact us for any inquiries at: Kris Zeuti OkIP Secretariat info at okipublishing.com From dwang at cse.ohio-state.edu Tue Jun 25 16:51:54 2024 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Tue, 25 Jun 2024 20:51:54 +0000 Subject: Connectionists: NEURAL NETWORKS, July 2024 Message-ID: Neural Networks - Volume 175, July 2024 https://www.journals.elsevier.com/neural-networks Uncertainty-aware prototypical learning for anomaly detection in medical images Chao Huang, Yushu Shi, Bob Zhang, Ke Lyu vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data Nan Lin, Weifang Gao, Lian Li, Junhui Chen, ... Qiang Lu A neurocomputational model of decision and confidence in object recognition task Setareh Sadat Roshan, Naser Sadeghnejad, Fatemeh Sharifizadeh, Reza Ebrahimpour Connectional-style-guided contextual representation learning for brain disease diagnosis Gongshu Wang, Ning Jiang, Yunxiao Ma, Duanduan Chen, ... Tianyi Yan Frequency compensated diffusion model for real-scene dehazing Jing Wang, Songtao Wu, Zhiqiang Yuan, Qiang Tong, Kuanhong Xu LollipopE: Bi-centered lollipop embedding for complex logic query on knowledge graph Shiyao Yan, Changyuan Tian, Zequn Zhang, Guangluan Xu Medical image segmentation network based on multi-scale frequency domain filter Yufeng Chen, Xiaoqian Zhang, Lifan Peng, Youdong He, ... Huaijiang Sun Migrate demographic group for fair Graph Neural Networks YanMing Hu, TianChi Liao, JiaLong Chen, Jing Bian, ... Chuan Chen Neural Q-learning for discrete-time nonlinear zero-sum games with adjustable convergence rate Yuan Wang, Ding Wang, Mingming Zhao, Nan Liu, Junfei Qiao Generalizability and robustness evaluation of attribute-based zero-shot learning Luca Rossi, Maria Chiara Fiorentino, Adriano Mancini, Marina Paolanti, ... Primo Zingaretti MV-SHIF: Multi-view symmetric hypothesis inference fusion network for emotion-cause pair extraction in documents Cheng Yang, Hua Zhang, Bi Chen, Bo Jiang, Ye Wang Generalized latent multi-view clustering with tensorized bipartite graph Dongping Zhang, Haonan Huang, Qibin Zhao, Guoxu Zhou Gossip-based distributed stochastic mirror descent for constrained optimization Xianju Fang, Baoyong Zhang, Deming Yuan Investigation of out-of-distribution detection across various models and training methodologies Byung Chun Kim, Byungro Kim, Yoonsuk Hyun Structural deep multi-view clustering with integrated abstraction and detail Bowei Chen, Sen Xu, Heyang Xu, Xuesheng Bian, ... Tian Zhou A novel interactive deep cascade spectral graph convolutional network with multi-relational graphs for disease prediction Sihui Li, Rui Zhang Mutual Correlation Network for few-shot learning Derong Chen, Feiyu Chen, Deqiang Ouyang, Jie Shao A Dual Robust Graph Neural Network Against Graph Adversarial Attacks Qian Tao, Jianpeng Liao, Enze Zhang, Lusi Li Bayesian hypernetwork collaborates with time-difference evolutional network for temporal knowledge prediction Pengpeng Shao, Yang Wen, Jianhua Tao A lightweight and gradient-stable neural layer Yueyao Yu, Yin Zhang Self-paced regularized adaptive multi-view unsupervised feature selection Xuanhao Yang, Hangjun Che, Man-Fai Leung, Shiping Wen Bayesian tensor network structure search and its application to tensor completion Junhua Zeng, Guoxu Zhou, Yuning Qiu, Chao Li, Qibin Zhao Unsupervised Sentence Representation Learning with Frequency-induced Adversarial tuning and Incomplete sentence filtering Bing Wang, Ximing Li, Zhiyao Yang, Yuanyuan Guan, ... Shengsheng Wang Weakly supervised temporal action localization with actionness-guided false positive suppression Zhilin Li, Zilei Wang, Qinying Liu Face anti-spoofing with cross-stage relation enhancement and spoof material perception Daiyuan Li, Guo Chen, Xixian Wu, Zitong Yu, Mingkui Tan Multiband task related components enhance rapid cognition decoding for both small and similar objects Yusong Zhou, Banghua Yang, Changyong Wang MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule Xinying Pang, Chang Xu, Yitian Xu Deep causal learning for pancreatic cancer segmentation in CT sequences Chengkang Li, Yishen Mao, Shuyu Liang, Ji Li, ... Yi Guo Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection Cunhang Fan, Jun Xue, Jianhua Tao, Jiangyan Yi, ... Zhao Lv A memristive all-inclusive hypernetwork for parallel analog deployment of full search space architectures Bo Lyu, Yin Yang, Yuting Cao, Tuo Shi, ... Shiping Wen Score mismatching for generative modeling Senmao Ye, Fei Liu Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework Haitao Wang, Qingshan Liu, Chentao Xu Observer-based resilient dissipativity control for discrete-time memristor-based neural networks with unbounded or bounded time-varying delays Kairong Tu, Yu Xue, Xian Zhang Expressive power of ReLU and step networks under floating-point operations Yeachan Park, Geonho Hwang, Wonyeol Lee, Sejun Park Layerwised multimodal knowledge distillation for vision-language pretrained model Jin Wang, Dawei Liao, You Zhang, Dan Xu, Xuejie Zhang Observer-based differential evolution constrained control for safe reference tracking in robots Jos? de Jes?s Rubio, Eduardo Orozco, Daniel Andres Cordova, Mario Alberto Hernandez, ... Jaime Pacheco Applying Convolutional Neural Networks to data on unstructured meshes with space-filling curves Claire E. Heaney, Yuling Li, Omar K. Matar, Christopher C. Pain Adversarial infrared blocks: A multi-view black-box attack to thermal infrared detectors in physical world Chengyin Hu, Weiwen Shi, Tingsong Jiang, Wen Yao, ... Wen Li Non-local degradation modeling for spatially adaptive single image super-resolution Qianyu Zhang, Bolun Zheng, Zongpeng Li, Yu Liu, ... Shanxin Yuan Robust sound-guided image manipulation Seung Hyun Lee, Hyung-gun Chi, Gyeongrok Oh, Wonmin Byeon, ... Sangpil Kim Physics-informed neural wavefields with Gabor basis functions Tariq Alkhalifah, Xinquan Huang -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Wed Jun 26 06:51:10 2024 From: Pavis at iit.it (Pavis) Date: Wed, 26 Jun 2024 10:51:10 +0000 Subject: Connectionists: PHD POSITIONS on Computational Vision at PAVIS - IIT Italy & University of Genoa, Italy [Jobs] Message-ID: <0498347e1f984435b7f19cd1cd05b920@iit.it> PHD POSITIONS ON COMPUTATIONAL VISION AT IIT ? PAVIS IN COLLABORATION WITH UNIVERSITY OF GENOA, ITALY The Italian Institute of Technology ? IIT, www.iit.it ? in collaboration with University of Genoa ?https://unige.it/en ? funds PhD scholarships on Computational Vision, Automatic Recognition and Learning. Research and training activities are jointly conducted between the DITEN Department of University of Genova http://phd-stiet.diten.unige.it/ and IIT infrastructures in Genoa, at the PAVIS - Pattern Analysis and Computer Vision Research line https://pavis.iit.it/ led by its Principal Investigator, Alessio Del Bue. ? RESEARCH TOPICS: Theme A: Generative Multi-modal models for spatial perception and robotic behavior generation Theme B: Topological Deep Learning and Graph Neural Networks Theme C: Leveraging generative AI to learn in imperfect data regime Theme D: Learning with imperfect data: Transfer Learning, Unsupervised Domain Adaptation and Domain Generalization More detailed information on the specific themes and indication of supervisors, at https://pavisdata.iit.it/data/phd/2024_2025_ResearchTopicsPhD_IIT-PAVIS.pdf PAVIS The PhD program on the listed topics will take place at the PAVIS research line of IIT located in Genova (www.iit.it). The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, also in collaboration with other research groups at IIT. PAVIS staff has a wide expertise in computer vision and pattern recognition, machine learning, image processing, and related applications (related to assistive and monitoring AI systems). Successful candidates will be part of an exciting and international working environment and will work in brand new laboratories equipped with state-of-the-art instrumentation. Excellent communication skills in English, as well as ability to interact effectively with members of the research team, are mandatory. For more information, you can also browse the PAVIS webpage http://pavis.iit.it/ to see our activities and research. HOW TO APPLY Full information, official call and course description are available at? ITALIAN https://unige.it/dottorati-di-ricerca ENGLISH https://unige.it/en/students/phd-programmes Official call:https://unige.it/sites/unige.it/files/2024-06/Notice%20of%20competition.pdf Course: SCIENCE AND TECHNOLOGY FOR ELECTRONIC AND TELECOMMUNICATION ENGINEERING Curriculum: COMPUTATIONAL VISION, AUTOMATIC RECOGNITION AND LEARNING (CODE 10575) https://unige.it/sites/unige.it/files/2024-06/List%20of%20Phd%20programmes%20%28Annex%20A%29.pdf Apply for the position: https://unige.it/en/students/phd-programmes follow step 3 WHAT TO SUBMIT A detailed CV, a research proposal under one or more topics chosen among those above indicated, reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. Refer also to the indications stated in the course description document, above mentioned. IMPORTANT: In order to apply, candidates must prepare the research proposal based on the research topics above mentioned. Please, follow these indications to prepare it https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf For FURTHER INFORMATION on the research topics contact Dr. Del Bue at pavis at iit.it DEADLINE Deadline for application is July 9, 2024 at 12 PM (noon, Italian time/CEST) -------------- next part -------------- An HTML attachment was scrubbed... URL: From sanjay.ankur at gmail.com Wed Jun 26 09:12:08 2024 From: sanjay.ankur at gmail.com (Ankur Sinha) Date: Wed, 26 Jun 2024 14:12:08 +0100 Subject: Connectionists: Adam Tyson: Software Tools for Systems Neuroscience @ INCF/OCNS Software WG session on 9th July, 1500 UTC Message-ID: Dear all, Apologies for the cross posts. Please do spread the word to interested colleagues. Adam Tyson from the Neuroinformatics Unit at the Sainsbury Wellcome Centre will talk about the software tools that their group develops at the next INCF/OCNS Software Working Group (WG) session on July 09 at 1500 UTC. There will be a Q&A/discussion session after the presentation, followed by any WG business. Please find the abstract and joining information below: - When: July 9, 1500 UTC - Where: Zoom: https://ucl.zoom.us/j/91017703246?pwd=RmdwMW9xL0FFaFVVL0Z6dUtnbkplZz09 - Web page: https://ocns.github.io/SoftwareWG/2024/06/26/wg-meeting-9-july-2024-software-tools-for-systems-neuroscience-adam-tyson-.html Abstract: Understanding the brain requires processing and analysing large, multidimensional datasets. Systems neuroscience, in particular, has undergone a drastic transformation, with individual labs now commonly generating terabytes or even petabytes of data annually. While there has been an increase in software tools to process this data, many of these tools are single-purpose, inadequately maintained, or poorly integrated with the broader software ecosystem. This talk will outline some of the tools we are developing for computational neuroanatomy, video behavioural analysis, and data management. About the speaker: Adam Tyson is the Head Research Engineer at the Sainsbury Wellcome Centre and Gatsby Computational Neuroscience Unit at University College London. He established the Neuroinformatics Unit, a research software engineering team dedicated to developing robust, maintainable, and user-friendly software tools for neuroscience and machine learning. Adam completed a PhD in neuroscience at King's College London before working as a software developer at the Institute of Cancer Research and the Sainsbury Wellcome Centre. Resources/links: - BrainGlobe: https://brainglobe.info/ - Movement: https://movement.neuroinformatics.dev/ - NeuroBluePrint: https://neuroblueprint.neuroinformatics.dev/ - Neuroinformatics Unit: https://neuroinformatics.dev/ - Sainsbury Wellcome Centre: https://www.sainsburywellcome.org/web/ - Gatsby Computational Neuroscience: https://www.ucl.ac.uk/gatsby/gatsby-computational-neuroscience-unit On behalf of the WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London From ksharma.raj at gmail.com Thu Jun 27 05:13:38 2024 From: ksharma.raj at gmail.com (Raj Sharma) Date: Thu, 27 Jun 2024 14:43:38 +0530 Subject: Connectionists: Reminder for the upcoming submission deadlines at CODS-COMAD Dec'24 Message-ID: Dear Community, We are just *3 days away from the Data Challenge *proposal, *2 weeks from the abstract submission in Research and Applied Data Science Track* and *3 weeks from the tutorial proposal *submission deadlines. Regards, Raj --------------------------------------------------------------------------------------------------- CODS-COMAD Dec?24 12th ACM IKDD CODS and 30th COMAD 8th Joint International Conference on Data Science & Management of Data December 18-21, 2024 | IIT Jodhpur https://cods-comad.in/ ---------------------------------------------------------------------------------------------------- CODS-COMAD is a premier international conference focusing on scientific work in Databases, Data Sciences and their applications. Being held for the 7th time as a common conference bringing together the COMAD and the CODS communities, the conference invites researchers in the field of databases, data sciences and their applications to submit their original work. - CALL FOR PAPERS AND PROPOSALS - RESEARCH TRACK The research track invites full as well as short papers describing innovative and original research contributions in the areas of data science, data management, data mining, machine learning, and artificial intelligence, as well as papers describing the design, implementation and results of solutions of such advances to real-world problems. Papers can range from theoretical contributions to systems and algorithms to experimental research and benchmarking. The goal of the short papers is to provide a venue for innovative ideas such as engineered solutions, exciting work-in-progress or even negative results that would be interesting to the broader community. Authors of accepted papers will get an opportunity to showcase their work as an oral and poster presentation. For more details visit: https://cods-comad.in/call-for-research-track-papers.php APPLIED DATA SCIENCE TRACK The Applied Data Sciences (ADS) track invites both full as well as short papers describing the design, implementation and results of solutions and systems for application of data science techniques to real-world problems. Technical approaches can include data science, data mining, applied machine learning, testing and governance of data science models and solutions, and practical MLOps approaches. Accepted papers will be given the opportunity to present their work as an oral presentation. For more details, visit: https://cods-comad.in/call-for-applied-data-science-track-papers.php TUTORIALS Tutorials at CODS-COMAD offer a platform to showcase state-of-the-art tools and technologies to support research, development and applications of data systems, data science, data management and platforms, data-driven applications, ethics of data science etc. We solicit tutorial proposals on all topics of interest to the CODS-COMAD conference. For more details, visit: https://cods-comad.in/call-for-tutorial-proposals.php DEMO TRACK The Demo track at CODS-COMAD provides an excellent opportunity for researchers, practitioners, and industry professionals to showcase their latest innovations, prototypes, tools, systems, or libraries in the fields of data sciences, data management, machine learning, AI, and related areas. We invite submissions for demonstrations on topics related to a broad range of data-driven applications, from data management and retrieval to the use of data science in real-world systems, and include libraries and tools for use by the community. Call for demo papers will be announced soon here: https://cods-comad.in/call-for-demo-track-papers.php YOUNG FACULTY AND RESEARCHERS' SYMPOSIUM The Young Faculty & Researchers' Symposium at CODS-COMAD 2024 invites submissions from young faculty or Postdocs (under 42 years of age) and young research students (Masters research scholars or BE/BTech students with published papers). This is a unique opportunity for young faculty to receive feedback from mid-career and senior faculty. This is also an opportunity for young researchers to have fruitful peer-to-peer discussions and to get feedback from leading senior researchers about their current research work. Call for papers for the Young Faculty and Researchers? Symposium will be posted soon. Bookmark this page for updates: https://cods-comad.in/call-for-young-faculty-researchers-symposium-papers.php DATA CHALLENGE The conference invites individuals or industry/academic groups to send their proposals for a Data Challenge to be held as part of the annual CODS-COMAD conference. The problem and the data set should be relevant to the Indian scientific community and society and try to address some problems particularly important in the India context. We are particularly looking for problems that are different from typical machine learning and data science challenges proposed at competitive venues in recent years. For more details, visit: https://cods-comad.in/call-for-data-challenge-proposals.php DIFFERENCE BETWEEN RESEARCH AND APPLIED DATA SCIENCE TRACK Check the link below to help you decide which track to submit your paper to. It is the authors? responsibility to submit their paper into the appropriate track. Papers that do not satisfy the requirements (e.g., a research track paper) might be rejected without a formal review. https://cods-comad.in/research-track-vs-applied-data-science-track.php IMPORTANT DATES - Jun 30, 2024: Data Challenge proposal submission - Jul 10, 2024: Abstract submission deadline in Research and ADS Tracks - Jul 15, 2024: Data Challenge acceptance notification - Jul 15, 2025: Tutorial proposal submission deadline - Jul 17, 2024:Paper submission deadline in Research and ADS Tracks - Aug 31, 2024: First stage decision notifications (Accept/Reject/Revision) in in Research and ADS Tracks - Sep 21, 2024: Submission of revised papers in Research and ADS Tracks - Sep 30, 2024: Tutorial acceptance notification - Oct 15, 2024: Final decision notifications (Accept/Reject) in in Research and ADS Tracks - Nov 10, 2024: Camera ready PAPER SUBMISSION LINK https://cmt3.research.microsoft.com/CODSCOMAD2024 SUBMISSION INSTRUCTIONS AND POLICIES Detailed submission instructions, submission format, page limits, conflict of interest, dual submission, plagiarism and other policies are available at the link below. Do check them out before submitting your paper. https://cods-comad.in/common-instructions-and-policies.php AWARDS The best paper in each track will receive an award citation TRAVEL GRANTS Conference will provide travel assistance to a reasonable number of students whose papers are accepted. The travel grant includes free accommodation and monetary travel support partially covering the travel cost. Details of the grant will be made available at the conference website in due course. ORGANIZING COMMITTEE General Chairs - Srikanta Bedathur (IIT Delhi) - Nitesh Chawla (University of Notre Dame) - Richa Singh (IIT Jodhpur) PC Chairs - Senjuti Basu Roy (New Jersey Institute of Technology) - Neil Shah (Snap Inc.) - Mayank Vatsa (IIT Jodhpur) Tutorial Chairs - Manish Gupta (Microsoft) - Prasad Deshpande (Databricks) Young Researchers' Symposium (YRS) Chairs - Dinesh Babu Jayagopi (IIIT Bangalore) - Sriraam Natarajan (UT Dallas) Doctoral Consortium Chairs - Ponnurangam Kumaraguru (IIIT Hyderabad) - Hemank Lamba (Dataminr) Demo Chairs - Atul Kumar (IBM Research) - Saurabh Nagrecha (Google) Data Challenge Chair - Kuldeep Yadav (SHL) - Aastha Nigam (LinkedIn) Diversity & Inclusion Chairs - Abhijnan Chakraborty (IIT Kharagpur) - Alpana Dubey (Accenture) Web Chair - Abinaya K (Flipkart) Proceedings Chairs - Abir De (IIT Bombay) - Ashutosh Modi (IIT Kanpur) Publicity Chair - Himanshu Bhatt (American Express) Student Travel Grants Chair - Maneet Singh (Mastercard) Sponsorship Chairs - Tridib Mukherjee (Games24x7) - Shourya Roy (Flipkart) Local Organizing Chairs - Suman Kundu (IIT Jodhpur) - Angshuman Paul (IIT Jodhpur) - Raj Sharma (Walmart Global Tech) Finance Chairs - Chandrashekhar Sahasrabudhe (ACM India) - Abhijat Vichare (ACM India) -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernstein.communication at fz-juelich.de Thu Jun 27 07:18:17 2024 From: bernstein.communication at fz-juelich.de (Alexander Lammers) Date: Thu, 27 Jun 2024 13:18:17 +0200 Subject: Connectionists: Deadline approaching - Bernstein Conference 2024 In-Reply-To: References: Message-ID: <723f97e8-a0f8-46df-ac9b-3a6d900fb90a@fz-juelich.de> The deadline for the submission of poster abstracts for the Bernstein Conference 2024 is approaching! Abstract submission: https://bernstein-network.de/bernstein-conference/abstract-submission/ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. Conference website: https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Poster abstract submission deadline: Jul 10, 2024 (15:00 CEST) * Early registration deadline: Jul 31, 2024 (23:59 CEST) * Late registration deadline: Sep 11, 2024 (23:59 CEST) * Bernstein Conference: Sep 29 ? Oct 2, 2024 ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Sup?rieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of T?bingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universit?t zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor M?ynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum J?lich GmbH 52425 J?lich Sitz der Gesellschaft: J?lich Eingetragen im Handelsregister des Amtsgerichts D?ren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller Gesch?ftsf?hrung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Thu Jun 27 09:13:53 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Thu, 27 Jun 2024 16:13:53 +0300 Subject: Connectionists: LLMCS CFP (Hybrid Conference Co-Sponsored by IEEE ): Workshop on Large Language Models for Cybersecurity, 26-29 November, 2024 | Dubai, UAE Message-ID: [Apologies if you got multiple copies of this invitation] The International Workshop on Large Language Models for Cybersecurity (LLMCS 2024) Co-Located with The 2nd International Conference on Foundation and Large Language Models (FLLM2024) https://fllm2024.fllm-conference.org/Workshops/LLMCS2024/ 26-29 November, 2024 | Dubai, UAE Technically Co-Sponsored by IEEE UAE Section *LLMCS 2024 CFP:* Recent advancements in Generative Artificial Intelligence have revolutionized the landscape of content creation and have significantly changed how content is conceptualized, developed, and delivered across various industries. Large Language Models (LLMs), such as BERT, T5, ChatGPT, GPT-4, Falcon 180B, and Codex, have influenced most disciplines of science and technology that support content generation in diverse applications, including cybersecurity. In cybersecurity, LLMs represent a dual-purpose tool. On the one hand, they empower malicious actors to identify vulnerabilities and enhance attack strategies. Conversely, they empower security teams to fortify defenses, identify threats, and effectively streamline risk management and operational processes. Despite the anticipated widespread adoption of these LLMs, our understanding of their full impact on cybersecurity still needs to be completed. There is a critical need to assess how they contribute to the discovery of vulnerabilities comprehensively, the development of new attack tactics and techniques, the creation of complex malware patterns, the identification of potential threats, and the mitigation of risks through automated vulnerability remediation We invite the submission of original papers on all topics related to LLMs and cybersecurity, with special interest in but not limited to: - LLMs-empowered defensive strategies - Offensive approaches using LLMs - LLMs and cybercrime laws - Chatbot software/Apps (BERT, T5, ChatGPT, GPT-4, Falcon 180B , ...) impact on cybersecurity education - LLM for creating cybersecurity policies - Security of LLM-generated code - LLMs-driven threat modeling - LLMs for Solving Offensive Security Challenges such as Capture the Flag - Reliability Issues of using LLMs in the cybersecurity contex - LLMs for generation and analysis of Cyber Threat Intelligence (CTI) - Privacy issues of LLMs and privacy-preserving LLMs - Generating Adversarial machine learning examples using LLMs - LLMs driven threat prevention - LLMs based cybersecurity awareness framework *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 6 to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. *Important Dates:* - *Paper submission deadline: August 15, 2024* - Notification of acceptance: October 5, 2024 - Camera-ready Submission: October 20, 2024 *Contact:* Please send any inquiry to: Muna Al-Hawawreh (Muna.alhawawreh at deakin.edu.au) -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimo.srt at gmail.com Thu Jun 27 10:10:16 2024 From: massimo.srt at gmail.com (Massimo Sartori) Date: Thu, 27 Jun 2024 16:10:16 +0200 Subject: Connectionists: [jobs] 3-year Post-Doc: Robotic systems for 3D skeletal muscle tissues pacing and regeneration Message-ID: Are you interested in breakthrough rehabilitation robotic technologies for restoring movement following neuromuscular injuries? Are you passionate about designing and developing robotic systems for skeletal muscle regeneration? Would you like to apply robotic design, fabrication and control in the context of tissue-engineered skeletal muscles *in vitro*? The Neuro-Mechanical Modeling and Engineering Lab (http://bit.ly/NMLab) is seeking for an outstanding post-doctoral fellow to work within our new Project ROBOREACTOR funded by the prestigious European Research Council (Consolidator Grant). You will join an international team working on a novel and ambitious project at the frontiers of robotics, muscle physiology and regenerative medicine (http://bit.ly/NMLTube). The opening: You will develop a robotic system to pace (*i.e.,* both mechanically and electrically) skeletal muscle tissues engineered *in vitro* from human-induced pluripotent stem cells. The envisioned robotic system will enable skeletal tissues to be simultaneously stretched (*i.e.,* via movable pillars), while receiving electrical stimulation (*i.e.,* via carbon electrodes). The robot will deliver closed-loop controlled mechanical strain to the tissue under various levels of activation over a period of 4 weeks to study tissue structural remodeling. Your tasks will be: - Design and develop the robot for tissue pacing including: - Selection of biocompatible materials for the robot structure. - Selection of sensors for closed-loop control, to be compatible with a cell culture incubator, visible light and fluorescence microscopy as well as stimulation electrodes. - Development of low-level controllers of tissue strain and electrical activation. - Conduct *in vitro* experiments, perform tissue handling and analyses ( *e.g.,* (immuno)histology, imaging, or qPCR analyses) to assess the efficacy of the robot in promoting muscle tissue growth over a 4-week period. This task will be conducted together with a PhD candidate team member. Your work will be facilitated by in-house expertise and mentorship. You will collaborate with top-scientists on aspects including muscle-on-a-chip and statistical modelling, giving large opportunity to perform impactful research! Information and application Apply by August 26th, 2024 via this link: https://bit.ly/3zhqVSq ERC Consolidator Grant ROBOREACTOR: Is it possible to regenerate new, healthy biological tissues in the human body after neuro-muscular injuries such as a stroke? Can we develop intelligent robots that autonomously discovers the electro-mechanical stimuli needed for skeletal muscles (and its innervating spinal motor neurons) to regenerate over time, potentially outperforming conventional rehabilitation? These are some of the questions my team and I will address in the coming 5 years. We will do that by proposing radically new sensor-driven, AI-powered computational models to predict structural remodelling in the skeletal muscle across large time scales i.e., weeks to months. We'll use these predictive models to command rehabilitation robots closed-loop control key muscle adaptation and remodelling both *in vitro* and *in vivo*. Project Web Page: https://cordis.europa.eu/project/id/101123866 --- Massimo Sartori Full Professor and Head of Chair, Neuromuscular Robotics Lab Head, Neuromechanical Modeling and Engineering Lab University of Twente, TechMed Centre, Robotics Centre Faculty of Engineering Technology Department of Biomechanical Engineering 7500 AE, The Netherlands Personal: https://people.utwente.nl/m.sartori Lab: https://bit.ly/NMLab YouTube: https://bit.ly/NMLTube !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Listen to our podcast on AI-powered Digital Human Twins! Watch our work on bionic legs featured on Dutch TV! !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! [image: A picture containing icon Description automatically generated] -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.denker at fz-juelich.de Thu Jun 27 10:10:00 2024 From: m.denker at fz-juelich.de (Michael Denker) Date: Thu, 27 Jun 2024 16:10:00 +0200 Subject: Connectionists: =?utf-8?q?Advanced_Neural_Data_Analysis_and_Neuro?= =?utf-8?q?informatics_School_=28ANDA-NI=29_=E2=80=93_Apply_by_July_31=2C_?= =?utf-8?q?2024!?= Message-ID: An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4830 bytes Desc: S/MIME Cryptographic Signature URL: From info at incf.org Thu Jun 27 10:47:44 2024 From: info at incf.org (INCF) Date: Thu, 27 Jun 2024 16:47:44 +0200 Subject: Connectionists: Early bird registration CLOSING TOMORROW Message-ID: Join us at the INCF Neuroinformatics Assembly 2024 on Sep 23-25 at the University of Texas at Austin! Early bird registration closes tomorrow - register before end-of-day on Fri Jun 28 to get the early bird price! The INCF Assembly is a unique venue where neuroscience standards developers, infrastructure providers, and software developers have the opportunity to interact with the research community to share the latest advancements in neuroinformatics. The meeting is followed by 3 training courses: Driving collaboration in neurophysiology with NWB and DANDI, Introduction to reproducible neuroimaging data processing and analysis, and DataJoint pipelines for your neuroscience experiments on Sep 26-27. This year's theme Brain Meets AI: Pioneering the Future of Neuroinformatics Our keynote speakers are Elisabeth Bik (Microbiome Digest), Timo Dickscheid (J?lich Research Cente), Hanchuan Peng (SEU-ALLEN Joint Center), Danilo Bzdok (Mila - Quebec Artificial Intelligence Institute), and Viktor Jirsa (Institut de Neurosciences des System?s). See you at Assembly 2024! /The INCF Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From Bill.Stine at unh.edu Thu Jun 27 15:23:06 2024 From: Bill.Stine at unh.edu (William Stine) Date: Thu, 27 Jun 2024 19:23:06 +0000 Subject: Connectionists: ISP Abstract Deadline Extended Message-ID: Dear Colleagues, We have extended the abstracts and papers submission deadline to the 10th of July. Again, we are happy to invite you to the 40th Annual meeting of the International Society for Psychophysics (ISP): Fechner Day 2024. The event will be held from the 7th to the 9th of October, 2024, at the Indian Institute of Technology, Kanpur, India. Registration will be open until the 30th of July. Lectures and poster sessions will be held during the days, while in the evenings you are invited to join us at the social events. Here you can find all the relevant current information: https://2024.fechnerday.com/ If you have any queries, please write to contactfd24 at gmail.com. Warm regards and hope to see you in October, The Fechner Day 2024 Organizing Committee. Best regards, Narayanan Dr. Narayanan Srinivasan Organizing Committee Chair Professor Department of Cognitive Science Indian Institute of Technology Kanpur India Wm Wren Stine President, International Society for Psychophysics https://www.ispsychophysics.org/ Department of Psychology Program in Neuroscience & Behavior McConnell Hall University of New Hampshire Durham, NH 03824 USA +01 (603) 862-2823 bill.stine at unh.edu TTY: 7-1-1 or +01 (800) 735-2964 (Relay NH) https://unh.zoom.us/j/9372229656 -------------- next part -------------- An HTML attachment was scrubbed... URL: From phitzler at googlemail.com Fri Jun 28 05:51:53 2024 From: phitzler at googlemail.com (Pascal Hitzler) Date: Fri, 28 Jun 2024 11:51:53 +0200 Subject: Connectionists: CfP: AAAI Fall Symposium 2024 "Large Language Models for Knowledge Graph and Ontology Engineering" Message-ID: <5c526d49-d102-40ae-9ea7-52d0f1c62b73@googlemail.com> Call for Papers *Large Language Models for Knowledge Graph and Ontology Engineering* /2024 AAAI Fall Symposium/ Large Language Models (LLMs) and Knowledge Graphs (KGs) are highly trending. The interplay between these two technologies can go both ways, but the two directions are quite different in approach. This symposium specifically focuses on how LLMs can be used as tools to augment the extant capacity for ontology and knowledge graph engineering. Knowledge Graph Engineering (KGE) and Ontology Engineering (OE ? together KG/OE) challenges in particular have to do with the (to date still) high involvement of humans and human expert in the KG/OE life cycle, including creation/modeling, alignment, evolution, reusability (from both ontological commitment and accessibility perspectives). The KG/OE communities have made steady progress in the past 20 years, but only now with LLMs, key KG/OE challenges appear to become addressable at scale. The goal of this symposium to focus and coordinate research. We wish to create a space and foundational community for the sharing of ideas for prompt engineering, fine-tuning, neurosymbolic approaches, quality control, and human-in-the-loop methods: all with LLMs for OE/KGE. *Topics* include, but are not limited to: * LLMs for Knowledge Graph and Ontology Creation * LLMs for Ontology and Entity Mapping * LLMs for Knowledge Graph and Ontology Evolution * LLMs for Knowledge Graph access and use * LLMs as Natural Language Interfaces for Knowledge Graphs and Ontologies *Format* of the Symposium: The program will consist of presentations of accepted full papers, posters, lightning talks, keynotes, and significant time for panel and plenary discussions. *Submission* of papers: * Full papers (for oral presentation): 8-10 pages (not counting references). * Short papers (for poster presentation): 3-4 pages (not counting references). * Lightning talks (for brief spotlight presentation): 1-2 pages extended abstract (not counting references). Submissions are to be made via the official AAAI Symposium Easychair submission portal at https://easychair.org/my/conference?conf=fss24. You must choose from the appropriate symposia from the available tracks. *Deadline* for submission of papers: July 31, 2024. *Symposium Committee*: * Pascal Hitzler, Kansas State University, USA (hitzler at ksu.edu) * Andrea Nuzzolese, CNR, Italy (andrea.nuzzolese at gmail.com) * Catia Pesquita, Universidade de Lisboa, Portugal (clpesquita at fc.ul.pt) * Cogan Shimizu, Wright State University (cogan.shimizu at wright.edu) *For more information*, see https://kastle-lab.github.io/llms-and-kg-engineering/ -- Pascal Hitzler Lloyd T. Smith Creativity in Engineering Chair Director, Center for AI and Data Science CAIDS Director, Inst. for Digital Agriculture and Adv. Analyt. ID3A Kansas State Universityhttp://www.pascal-hitzler.de http://www.daselab.org http://www.semantic-web-journal.net http://k-state.edu/ID3A https://neurosymbolic-ai-journal.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From alinepaes at ic.uff.br Fri Jun 28 08:37:07 2024 From: alinepaes at ic.uff.br (Aline Paes) Date: Fri, 28 Jun 2024 09:37:07 -0300 Subject: Connectionists: [BRACIS 2024] - Last CFP - the deadline is approaching Message-ID: *Please register your papers by June 30 and submit the final version by July 01* ########################################################################### TL;DR: BRACIS 2024 Call for Papers - The 34th Brazilian Conference on Intelligent Systems (BRACIS) will be held in Bel?m, Brazil, from November 17-21, 2024. This is Brazil's primary AI and CI event. We invite submissions of research papers on various AI topics and applications. Please visit the website for more information about the location and venue. Key dates: paper registration by June 30, 2024; paper submission by July 01, 2024; notifications: August 21, 2024; and camera-ready: August 31, 2024. The conference introduces four tracks, including a new "Published Papers in Top Venues" track. Best papers may be invited for special issue publications. Submissions are via JEMS . More details are as follows. ############################################################################ The Program Committee of the 34th Brazilian Conference on Intelligent Systems (BRACIS) invites submissions of original research papers for the conference to be held in Bel?m, PA, Brazil ? **First edition in the North Region** ? from November 17th to 21st, 2024. BRACIS is the most important event in Brazil for researchers interested in publishing significant and novel results related to Artificial and Computational Intelligence. The Brazilian Conference on Intelligent Systems (BRACIS) originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (21 editions), and the Brazilian Symposium on Neural Networks - SBRN (12 editions). BRACIS, which previously had 12 editions, will now be recognized as the 34th edition when considering its history and the 21 editions of SBIA. The 34th BRACIS plays a pivotal role in AI in Brazil, serving as a hub for promoting theoretical concepts and applications in Artificial and Computational Intelligence. The event fosters a space for exchanging scientific ideas among researchers, practitioners, scientists, and engineers working toward advancing Artificial and Computational Intelligence science. This aligns with the goals of other major international conferences proposed in a similar time in the history of AI, such as the 37th AAAI, 32nd IJCAI, and 37th NeurIPS (formerly called NIPS). The 33 previous editions of BRACIS highlight the pioneering of the Brazilian AI Community. This year, we are inaugurating the track submissions. Please see more details in the Submission Details section. IMPORTANT DATES - *Paper registration - June 30, 2024 - AoE* *- Paper submission - June 25, 2024 July 01, 2024 - AoE* - Notification to authors - August 21, 2024. - Camera-ready copy due - August 31, 2024. SPECIAL ISSUES Authors of the best papers will be invited to submit extended versions of their work to be appreciated for publication in special issues after the conference. SUBMISSION DETAILS BRACIS submission is double-anonymous (for tracks 1, 2 and 3). This means that both the reviewer and author's identities and institutions are concealed from the reviewers, and vice versa, throughout the review process. To facilitate this, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity. If you have published a non-anonymous version of your paper online before paper submission (e.g. arXiv), you can send an anonymous version to the conference. No references to the non-anonymous version should be in the anonymous version, and you should let the PC chairs know there is a non-anonymous version. You cannot update the online version nor publish information regarding the work on social media during the paper review period, as it can compromise the double-anonymous review process. We strongly encourage making code and data available anonymously (e.g., in an anonymous GitHub repository via Anonymous GitHub or in a Dropbox folder). Submitted papers must be written in English and be at most 15 pages, including all tables, figures, references, and appendices. Formatting instructions, as well as templates for Word and LaTeX, are available at Conference Proceedings guidelines . Springer?s proceedings LaTeX templates are also available in Overleaf . All submitted papers will be reviewed by at least three experts in the field. Accepted papers will be included in the BRACIS proceedings and submitted for publication in Springer in Lecture Notes in Artificial Intelligence (LNAI) series. Only PDF files can be uploaded to the submission system. For each accepted paper, at least one author must register for the conference and present the paper at the conference venue. Submissions must be made online using JEMS . ATTENTION Generative AI models (including Chat-GPT, BARD, LLaMA, Gemini, etc.) or similar LLMs do not meet the article authorship criteria for BRACIS 2024. However, we encourage articles that describe research on or involving such advanced AI models and tools. Authors who use an LLM in any part of the article writing process take full responsibility for all content, including checking for plagiarism and correcting all text. We suggest that this use be properly mentioned in the Acknowledgements section, with no harm in the evaluation process. ***** Tracks submission: New in this edition **** This year, BRACIS will have four tracks: 1. Main track: original works showing novel AI methods with sound results. 2. AI applications for Social Good: original works presenting novel Social Good applications using established AI methods. 3. General applications: original works presenting novel applications using established AI methods, naturally considering the ethical aspects of the application. 4. Published papers: papers published in top AI conferences or journals in 2023 or 2024 (as a guide, consider the international rankings CS Metrics and CS rankings by selecting AI area or subareas; others can also be considered). Tracks 1-3 will have no distinction regarding the publication format and the publication in the proceedings. For Track 4, authors must submit a publishable 2-page extended abstract in the same format as the other tracks (excluding references). Be careful not to violate the copyright of the previous publication. Track 4 does not need to be double-anonymous, as authors must cite the venue of the previous publication. The accepted papers of all tracks will have the same slot for presentation during the conference. TOPICS OF INTEREST Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI). Topics of interest include (but are not restricted to): - Agent-based and Multi-Agent Systems - Cognitive Modeling and Human Interaction - Constraints and Search - Foundations of AI - Distributed AI - Information Retrieval, Integration, and Extraction - Knowledge Representation and Reasoning - Commonsense Reasoning - Model-Based Reasoning - Probabilistic Reasoning, and Approximate Reasoning - Ontologies and the Semantic Web - Logic-based Knowledge Representation and Reasoning - Natural Language Processing - Planning and Scheduling - Evolutionary Computation and Metaheuristics - Fuzzy Systems - Neural Networks - Deep Learning - Machine Learning and Data Mining - Meta-learning - Reinforcement Learning - Molecular and Quantum Computing - Pattern Recognition and Cluster Analysis - Hybrid Systems - Bioinformatics and Biomedical Engineering using AI - Combinatorial and Numerical Optimization - Computer Vision - Education for AI and AI for Education - Forecasting - Game Playing and Intelligent Interactive Entertainment - Intelligent Robotics - Multidisciplinary AI and CI - Foundation Models - Large Language Models - Human-centric AI - Generative AI - Ethics in AI GENERAL CHAIR Andr? Ponce (ICMC/USP) PROGRAM CHAIRS Aline Paes (IC/UFF) Filipe A. N. Verri (IEC/ITA) ------------------------------------------------------------------------------------------------- *Profa. Dra. Aline Paes (she/her)* *Associate professor - Computer Science (Artificial Intelligence)* Institute of Computing / Universidade Federal Fluminense (IC/UFF) Member of CE-PLN and BPLN CNPq PQ-E and FAPERJ JCNE __________________________________________________________ url: www.ic.uff.br/~alinepaes Av Gal Milton Tavares de Souza, S/N, Computing Building, Office 504 S?o Domingos, Niter?i, RJ, Brazil. ZIP 24210-346 ------------------------------------------------------------------------------------------------- ****Please do not feel any pressure to respond out of your own regular working hours. Remember that this is supposed to be an asynchronous tool*** -------------- next part -------------- An HTML attachment was scrubbed... URL: From anuja.vats at ntnu.no Fri Jun 28 09:05:58 2024 From: anuja.vats at ntnu.no (Anuja Vats) Date: Fri, 28 Jun 2024 13:05:58 +0000 Subject: Connectionists: Workshop on Challenges in Wireless Capsule Endoscopy (CWE) Message-ID: --- Call for papers - Apologies for multiple posting --- Workshop on Challenges in Wireless Capsule Endoscopy (CWE) Held in conjunction with the 27th International Conference on Pattern Recognition (ICPR)" - December 1, 2024, Kolkata (India) Website: https://sites.google.com/view/cwe-at-icpr-2024/home About Digestive system diseases like Crohn's disease, inflammatory bowel disease, and colorectal cancer, are affecting a large population across the world. Wireless Capsule Endoscopy (WCE) is a good alternative for screening colorectal cancer which is both relatively pain free and eliminates the fear of traditional colonoscopy among patients. WCE carries cameras on board, recording video of the gastro-intestinal (GI) system while traveling through it. WCE can, in principle, screen the entire GI system, requiring little effort from the patient, and the procedure does not require the presence of medical personnel, nor special facilities to perform the screening as the video is recorded continuously and transmitted to a remote system. With decreased cost related to hospital stays along with other benefits (e.g., relatively painless), WCE is seen as a promising alternative to early-stage colorectal cancer detection. WCE image/video analysis comes with a set of unique challenges. Due to the passage mechanism through the digestive system, not all frames can be captured. Moreover, the images captured by WCE are of much lower spatial resolution than what most medical professionals are used to analyzing and machine learning experts are used to annotating for the purpose of creating training samples. The loss of temporal and spatial resolution need to be taken into account in downstream analysis of WCE image/video data. Topics (not limited to): ? Classification of pathologies ? Segmentation of pathologies ? Video summarization ? Visualization ? Image and video enhancement ? Datasets ? Structure from motion (rigid and non-rigid) ? 3D reconstruction of nonrigid anatomical structures Paper Submission Guidelines: A paper can be submitted via the Microsoft CMT The Proceedings of the CWE 2024 workshop will be published in the Springer Lecture Notes in Computer Science (LNCS) series. Papers will be selected by a single blind (reviewers are anonymous) review process. Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines: 12-15 pages. Articles should be prepared according to the LCNS guidelines and templates available. All papers must be submitted in electronic format as PDF files before the submission deadline. Important Dates Paper Submission Deadline: 22 July 2024 Acceptance Notification Date: 30 August 2024 Camera-Ready Deadline: 16 September 2024 Workshop Date: 1 December 2022 Organizers ? Prof. Suchendra M. Bhandarkar (University of Georgia, USA) ? Assoc. Prof. Kiran Raja (NTNU, Norway) ? Prof. Marius Pedersen (NTNU, Norway) ? Dr. Anuja Vats (NTNU, Norway) ? Prof. Kishor Upla (SVNIT, Surat, India) ? Assoc. Prof. Sudhish N George (NIT Calicut, India) We hope to see you in Kolkata! -------------- next part -------------- An HTML attachment was scrubbed... URL: From kkpatel7 at gmail.com Sat Jun 29 05:37:57 2024 From: kkpatel7 at gmail.com (KK Patel) Date: Sat, 29 Jun 2024 15:07:57 +0530 Subject: Connectionists: [CFP] Springer icSoftComp2024: (Scopus indexed) (Bangkok, Thailand) (Springer CCIS) (December 10-12, 2024) (Hybrid Conference) Message-ID: ** Sincere apologies if you receive multiple copies of this CFP ** ** Please forward to anyone who might be interested ** *==============* *CALL FOR PAPERS* *==============* *Springer* *Sixth International Conference on Soft Computing and its Engineering Applications (icSoftComp2024)* *Bangkok, Thailand **|| December 10-12, 2024* *Paper submission link:* https://equinocs.springernature.com/service/icSoftComp2024 *Conference website:* https://www.charusat.ac.in/icSoftComp2024/ *===========* *Important Notes:* *===========* - icSoftComp2024 follows a *double-blind peer review* system. - Conference proceedings by *Springer CCIS Series* (*Scopus* indexed) - The conference will be held in a *hybrid mode*: in-person and online - Authors of selected papers will be invited to submit extended article versions for a post-conference special issue of peer reviewed Scopus indexed journals. *==============* *About the conference:* *==============* 2024 6th International Conference on Soft Computing and its Engineering Applications (icSoftComp2024) aims to provide an excellent international forum to the researchers, academicians, students, and professionals in the areas of computer science and engineering to present their research, knowledge, new ideas and innovations. It will exhibit an exciting technical program. It will also feature high-quality Tutorials and Workshops, Industry Panels and Exhibitions, as well as Keynotes from prominent research and industry leaders. We are now open for technical paper submission, proposals for workshops/special sessions, and proposals for tutorials. *=================* *Keynotes and invited talks:* *=================* - Prof. Bharat Bhargava, Purdue University, Indiana, USA - Massimiliano Cannata, SUPSI, Canobbio, Switzerland - Flora Ferreira, University of Minho, Portugal - Katarzyna Turo?, Silesian University of Technology, Poland - Chinthaka Premachandra, Shibaura Institute of Technology, Japan *=============== * *Organizing Committee:* *=============== * Honorary Chairs - Kalyanmoy Deb, Michigan State University, MI, USA - Witold Pedrycz, University of Alberta, Alberta, Canada - Leszek Rutkowski, Czestochowa University of Technology, Poland - Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland General Chairs - Atul Patel, Charotar University of Science and Technology, India - Dilip Kumar Pratihar, Indian Institute of Technology Kharagpur, India - Pawan Lingras, Saint Mary's University, Canada Technical Program Chairs - K. K. Patel, Charotar University of Science and Technology, India - Ashish Ghosh, Indian Statistical Institute (ISI), Kolkata, India - KC Santosh, The University of South Dakota, SD, USA - Gayatri Doctor, CEPT University, Ahmedabad, India - Gabriel Gomes de Oliveira, University of Campinas (Unicamp), Brazil - Ashis Jalote-Parmar, Norwegian University of Science and Technology, Norway *============* *Paper Submission:* *============* icSoftComp2024 solicits papers on all aspects of Soft computing and its engineering applications for a smart and better world. The topics of the conference include, but are not limited to the following: *Track 1: Theory and Methods* Ant colony theory Approximate reasoning Artificial Intelligence (AI) Big Data analytics Bio-inspired computing Chaos theory Cognitive science Data mining and Knowledge discovery Deep learning Digital information processing Evolutionary computing Fuzzy set theory Immunological computing Knowledge virtualization Machine learning Modelling Neural computing Probabilistic reasoning Rough sets Swarm intelligence *Track 2: Systems and Applications* Advanced intelligent systems Agent-based systems Agricultural informatics Assistive systems Autonomic and autonomous systems Bioinformatics and scientific computing Cognitive systems and applications Complex systems Computer forensics Cyber Physical Systems (CPS) Human computer integration Internet of Things (IoT) Intrusion detection and Security intelligence Mechatronics Multi-agent systems Natural language processing Network and telecommunications systems Optimization Pattern recognition Process control Remote sensing system Robotics Signal processing Time series forecasting Web intelligence *Track 3: Hybrid Techniques* Auxiliary hybridization Embedded hybridization Fuzzy-genetic approach Neuro-evolutionary computing Neuro-fuzzy computing Sequential hybridization *Track 4: Soft Computing for Smart Sustainable World* Smart cities Smart governance Smart healthcare Smart homes and buildings Smart social services Smart transportation Smart utilities Smart vehicles Smart villages *===========* *Important Dates:* *===========* Submission due: 30/06/2024 Acceptance Notification: 31/07/2024 Camera Ready Paper Submission due: According to notification Last date of registration: According to notification Conference dates: 10-12/12/2024 *============* *Paper Publication:* *============* The accepted and presented papers will be published as proceedings with Springer in their prestigious Communications in Computer and Information Science (CCIS) series. Indexed by Scopus, DBLP, Ei Compendex, Google Scholar, and Springerlink *=============* *Journal Publication:* *=============* Authors of selected papers will be invited to submit extended article versions for a post-conference special issue of peer-reviewed journals. If you have PhD degree and if you want to join as Technical Program Committee (TPC) member then please fill this Google form: https://forms.gle/2T6EwDeUUTWxuX9Q6 Charotar University of Science and Technology (CHARUSAT) (Center of Excellence by Govt. of Gujarat) (Accredited "A+" grade by NAAC, GoI) Changa, India warm regards, K. K. Patel, Ph.D. Cell#: +91-820 010 3724 https://www.charusat.ac.in/icSoftComp2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From T.T.Nguyen at ljmu.ac.uk Sat Jun 29 05:59:37 2024 From: T.T.Nguyen at ljmu.ac.uk (Nguyen, Trung Thanh) Date: Sat, 29 Jun 2024 09:59:37 +0000 Subject: Connectionists: (Deadline 15th July) Fully funded PhD scholarships (UK/international) in applied AI/machine learning/computational intelligence, operational research, or environmental science/public health. Message-ID: Dear colleagues, My apologies for cross-posting. Could you please kindly forward to interested candidates? Please note the very short deadline of 15th July and the enrolment date of 16th September 2024 for the first cohort. 1. Summary: Our Net Zero Maritimes Energy Solutions (N0MES) led by University of Liverpool and Liverpool John Moores University is offering a number of PhD scholarships (UK/international). There are currently four scholarships under my supervision, in collaboration with industry partners: * Topic 1: Optimizing Low-Carbon Fuels Shipping in Global Energy Supply Chains https://www.findaphd.com/search/ProjectDetails.aspx?PJID=172581 * Topic 2: Machine learning for more effective offshore energy operations https://www.findaphd.com/search/ProjectDetails.aspx?PJID=172800 * Topic 3: AI as Pollution Detectives: Machine Learning to Uncover Hidden Sources of Pollution in Port Cities https://www.findaphd.com/search/ProjectDetails.aspx?PJID=173085 * Topic 4: Port City Particulates: Exploring the Intersection of Indoor Air Quality, Human Behaviour, Public Health and Maritime Net Zero Strategies https://www.findaphd.com/search/ProjectDetails.aspx?PJID=172579 More projects and details of the N0MES programme is here. There are also open-call full PhD scholarships for exceptional candidates. Below is a summary of the two types of scholarships: * Deadline 15th July 2024 (see detailed timeline below) * N0MES scholarships: * 4 years (multi-disciplinary Postgraduate Diploma taught programme in year 1) * Full UK tuition fees. Very exceptional international candidates may be waived international fees. * Maintenance stipend (~ ?19,237 per annum) for four years, rising in line with URKI rates, * Additional funded trainings as part of the N0MES programme * Open-call scholarships: * 3 years * Full tuition fees (UK or international) * Maintenance stipend (~ ?19,237 per annum) + Research expenses (?1,600 per annum) + for three years, rising in line with URKI rates, * Successful candidates to move to Liverpool and enrol by 16th September 2024 * Funded visits to industry and overseas universities to widen your experience and gain career opportunities (averagely 1 month per year), * Funded training to gain teaching qualifications (Associate Fellow of the Higher Education Academy) and teaching experience for career development. 1. How to apply: Interested applicants please carefully read the descriptions for each project and person specifications as above. Please also look at this link for some examples of our past projects on air quality and green transportation https://tinyurl.com/y67eddrw . If you believe you are suitable, email Prof. Trung Thanh Nguyen T.T.Nguyen at ljmu.ac.uk with title "PhD scholarship in the N0MES CDT + Topic number" (for topics 1-4 of N0MES) or "LJMU Open call PhD scholarship" (for the open call) and include the following information: * CV and a transcript, * A supporting statement [maximum 300 words] detailing; what inspires you within this project, how your skill set matches the project, up to 3 examples showing your commitment to science, piece of science that excites you * Anything else to support your application. 1. About LJMU / LOOM institute's research LOOM is a leading research institute specialising in transport/logistics and marine engineering within Liverpool John Moores University (LJMU). All LOOM's research outputs were ranked world-leading (4*) or international-excellence (3*) in UoA12 in the Research Excellence Framework REF2021, putting LJMU equal 13th out of 89 in proportion of 4* and 3* outputs, the best in the North West in UoA12. LOOM's research impact was also ranked 4* or 3* in REF UoA12 (equal first in UK in proportion of 4* and 3*). Please visit this link for more information about our research quality. 1. Other information and detailed instruction For more information about our N0MES doctoral training programme, the projects, how to apply, and our research/teaching rankings, please visit this link. Best regards, Thanh ================================ Prof. Trung Thanh Nguyen, Professor of Operational Research in Transportation Co-director of the Liverpool Logistics Offshore and Marine Research Institute (LOOM), School of Engineering Liverpool John Moores University Web: https://www.ljmu.ac.uk/about-us/staff-profiles/faculty-of-engineering-and-technology/school-of-engineering/trung-thanh-nguyen ________________________________ Important Notice: Liverpool John Moores University was established as a Higher Education Corporation under section 121 of the Education Reform Act 1988. Further information about Liverpool John Moores University can be found at https://www.ljmu.ac.uk/about-us The information in this email and any attachments is for the sole use of the intended recipient(s). If you are not an intended recipient, or a person responsible for delivering it to an intended recipient, you should delete it from your system immediately without disclosing its contents elsewhere and advise the sender by returning the email or by telephoning a number contained in the body of the email. No responsibility is accepted for loss or damage arising from viruses or changes made to this message after it was sent and the recipient must ensure that the email (and attachments) are virus free. The views contained in this email are those of the author and not necessarily those of Liverpool John Moores University. We will use the personal data information provided by you to respond to your email. For information about how we process personal data and monitor communications please see our Privacy Notice. https://www.ljmu.ac.uk/legal/privacy-and-cookies -------------- next part -------------- An HTML attachment was scrubbed... URL: From xiao at gmu.edu Sat Jun 29 12:57:02 2024 From: xiao at gmu.edu (Xuesu Xiao) Date: Sat, 29 Jun 2024 16:57:02 +0000 Subject: Connectionists: [meetings] [news] Call for Papers: IEEE SSRR 2024 Message-ID: Call for Papers: IEEE SSRR 2024 Papers are solicited for the 2024 IEEE International Symposium on Safety Security Rescue Robotics, Nov. 12-14, 2024, in New York City, USA, in conjunction with FDNY special operations. Extended abstracts (3-4 pages) are due 21 Jul, with acceptances on 10 Sept and full papers due 10 Oct. Details will be posted to ssrr2024.org. IEEE SSRR was started in 2002 with a special mission to bring together roboticists and practitioners, where academics can present domain-relevant research and engage with agencies, responders, and companies. The conference is single track with full papers published in IEEE Xplore. It traditionally sets aside time for field tours of training facilities or hosts exercises, in this case, with the Fire Department New York at their training facilities on Roosevelt Island. it is a hands-on, community-oriented conference. There is a best paper award. The safety, security, and rescue robotics community focuses on the ethical use of robots for public safety and security applications, such as law enforcement, anti-terrorism, nuclear decommissioning, and inspection of critical infrastructure, all phases of emergency management (presentation, preparedness, response, and recovery), and humanitarian assistance and disaster relief. Robot safety and risk of robots in general, for example preventing injuries or guaranteeing real-time execution, are not topics included in the symposium?s purview but safety and risk in the context of the extreme environments and operating conditions of SSRR applications is. SSRR is a field robotics domain, and although papers describing theoretical results are welcome, all papers should be motivated by real users? needs, both clearly stating who are the end users and what are the anticipated or demonstrated practical end user requirements. The topics include, but are not limited to: ? aerial, ground, and marine robots ? new morphologies and sensors ? artificial intelligence ? computer vision/machine learning ? human-robot interaction ? ethics ? field methodologies for testing and evaluation ? multi-robot systems ? extreme scenarios and environments ? infectious diseases ? natural disasters ? human-caused disasters, such as building, bridge, and mine collapses ? humanitarian assistance and disaster recovery ? robot simulators ? case studies and surveys ? casualty assessment, care, and extraction ? detection and mitigation of chemical, biological, radiological, nuclear, and explosive (CBRNE) events ? inspection of critical infrastructure Organizers: ? General Co-Chairs: Murphy, Robin (Texas A&M), Howie Choset (Carnegie Mellon) ? Program Co-Chairs: Americas: Padir, Taskin (Northeastern) Europe: Kruijff, Ivana (DRZ - German Rescue Robotics Center) Asia: Nagatani, Keiji (University of Tokyo) ? Local Arrangement Chair: Loianno, Guiseppe (New York University) ? Finance Chair: Voyles, Richard (Purdue University) ? Publication Chair: Xiao, Xuesu (George Mason) Thanks Xuesu ----------------------- Xuesu Xiao, Ph.D. -- Assistant Professor Department of Computer Science George Mason University xiao at gmu.edu https://cs.gmu.edu/~xiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From erikf at kth.se Sun Jun 30 07:29:41 2024 From: erikf at kth.se (=?iso-8859-1?Q?Erik_Frans=E9n?=) Date: Sun, 30 Jun 2024 11:29:41 +0000 Subject: Connectionists: Postdoc in physics-based machine learning jointly with the MedTech industry Message-ID: Postdoc in physics-based machine learning jointly with the MedTech industry Are you looking for a postdoc combining academic research in machine learning with close collaboration with the industry? Do you want to join our research group at KTH developing fundamental machine learning times series algorithms and the team at Getinge producing the next generation ventilators for the intensive care? Are you passionate about physical simulation and proficient in parameter estimation? If so, we believe you will find our project developing a digital twin of the respiratory system a perfect match. Find the ad and apply: https://kth.varbi.com/en/what:job/jobID:739922/ Best regards, Erik Frans?n and Elira Maksuti From helma.torkamaan.mailists at gmail.com Sun Jun 30 15:22:15 2024 From: helma.torkamaan.mailists at gmail.com (Helma Torkamaan) Date: Sun, 30 Jun 2024 21:22:15 +0200 Subject: Connectionists: 2nd CfP: The 6th Workshop on Health Recommender Systems co-located with ACM RecSys 2024 In-Reply-To: References: Message-ID: ** Please forward this to anyone who might be interested ** *Apologies for multiple postings* -------------------------------------------------------------------- CALL FOR PAPERS International Workshop on Health Recommender Systems, *Deadline August 30th, 2024 * to be held in Bari, Italy, co-located with ACM RecSys 2024 (https://recsys.acm.org/) Website: https://healthrecsys.github.io/ -------------------------------------------------------------------- Important Dates: ================ ** August 30th, 2024, Paper submission deadline ** September 13th, 2024, Author notification ** September 20th, 2024, Camera-ready version deadline ** October tba, 2024, HRS Workshop ** 14nd-18th October 2024 RecSys conference Workshop Organizers: ==================== Hanna Hauptmann (University of Utrecht, Netherlands) Christoph Trattner (University of Bergen, Norway) Helma Torkamaan (Delft University of Technology, Netherlands) Objectives & Topics: ==================== Background: The HealthRecSys workshop discussions over the years have spanned a broad spectrum of topics, reflecting the multifaceted nature of health recommender systems and the diverse applications and challenges of recommender systems in the health domain. Previous workshops encouraged discussions of the potential of recommender systems in the health domain, various new applications, associated challenges, and practical solutions for existing systems or scenarios. These discussions have not only introduced new challenges to the recommender system community but have also underscored the critical role of human oversight in ensuring the reliability and safety of health recommendations. The diversity of application domains discussed, from mental health to nutrition, and the variety of stakeholders involved, from patients to healthcare providers, underscore the complexity and importance of this research area. Goals: Our aim with the 6th HealthRecSys is to reignite these conversations and provide a forward-thinking platform that revisits the foundational elements that have contributed to the field's growth. However, the workshop aspires to do more by infusing new perspectives and tackling the most pressing global challenges and technological innovations head-on. The workshop will explore contemporary themes such as the impact of global health crises on recommender systems, the integration of Large Language Models and other generative AI models in health applications, the increasing emphasis on personalized and self-managed care, and the increasing focus on health equity leading to consideration of literacy, accessibility and monetary means when building health recommender systems. These topics not only reflect the current state of the world but also align with the broader shifts towards ethical AI, and the need for systems that can adapt to and address individual health and care needs. Furthermore, HealthRecSys is dedicated to strengthening the network of researchers working on health recommender systems, drawing participants from an array of health and care domains. This effort is aimed at cultivating a cross-disciplinary community that promotes collaboration among recommender systems specialists, healthcare professionals, ethicists, and policymakers, among others. To enhance cross-sector collaboration, the 6th HealthRecSys workshop will encourage joint projects and funding prospects, in addition to promoting the sharing of resources, datasets, and tools among scholars and industry practitioners. The workshop is calling for submissions on a wide array of topics within health recommender systems. This includes systems aimed at health promotion, preventive, curative care, and recommender systems that are health-aware. The scope of topics for the workshop is extensive, covering various aspects within the domain of health recommender systems and health-aware recommender systems, which include, but are not limited to: ** Accessibility, Usability, and Augmented Decision-Making ** Adherence and Patient (User) Compliance ** Algorithms and Recommendation Strategies ** Behavioral Interventions ** Case studies of Health Recommender Systems, Success and Failures and Lesson learned ** Domain Knowledge Representation ** Electronic Health Records Integration ** Empowerment and Autonomy ** Ethics ** Evaluation and Metrics ** Equity ** Explanations and Justifications in Health Recommendations ** From Participatory Design and Co-Creation to HealthRecSys ** Gamification and Serious Games ** Generative AI ** Health-Aware Recommender Systems ** Health and Care Workers and Interactive Intelligent Systems ** Human/Expert-in-the-Loop ** Human-RecSys Collaboration for Personalized Health ** Interfaces, Visual, Context-aware, Conversational, Mobile ** In-the-Wild Personalization ** Longitudinal Studies ** LLM-based recommendations in Health ** Medical Evaluation Techniques ** Mobile Health Recommender Systems ** Multi-objective Challenges ** Multi-stakeholder Challenges ** Patient Needs/Satisfaction ** Personalization ** Persuasion/Nudging/Behavioral Change ** Pervasive Systems ** Privacy and Security ** Research Methods and tools ** Recommendations VS. Not Clinical Decision Supports ** Regulations and Standards ** Self-Care ** Trust and Transparency ** User Interaction Design ** User Profiling and Adaptive Systems ** Value-Driven Design of Health Recommender Systems ** Wearables for Recommender Systems Submissions: ============ We solicit short research papers (4-6 pages) and short position papers (2 pages + references), both in the ACM conference paper style-double-column format. Participants can decide between a research-focused submission and a project-focused submission. Submission category research: innovative research ideas, preliminary findings, or system prototypes that contribute new knowledge to the field Submission category project: presentations on funded research initiatives, collaborations between industry and academia, or partnerships between healthcare entities and research institutions. Submission guidelines: ====================== All submitted papers must: ** be written in English; ** contain author names, affiliations, and email addresses; ** be formatted according to the ACM SIG Proceedings Template -double-column format, with a font size no smaller than 9pt; ** be in PDF (make sure that the PDF can be viewed on any platform), and formatted for US Letter size; Submissions are encouraged to include links or demos as attachments to enhance their presentation. All submissions will undergo a rigorous peer-review process to ensure quality and originality. It is imperative that submitted works are not concurrently under review at any other conference, workshop, or journal and contain original, unpublished contributions. Accepted papers will be published according to the ACM RECSYS 2024 WS publication rules, with prior proceedings having been published in CEUR workshop proceedings. A Few Remarks ============= ** The title of the paper, authors, and the author order cannot be changed after the acceptance ** Major changes to the text of the reviewed and accepted papers are not permitted after the review ** At least one of the authors should participate in the workshop, register in the RecSys conference, and personally present the paper in the workshop. Location: ========= RecSys 2024 will be hosted in Bari, Italy, from 14?18 October 2024. Please visit the RecSys 2024 website for more information about this location: https://recsys.acm.org/recsys24/location/ Contact: ======== If you have questions regarding the workshop, do not hesitate to contact the workshop chairs: healthrecsys at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: