From alan.fung at cityu.edu.hk Wed Nov 1 04:32:08 2023 From: alan.fung at cityu.edu.hk (Prof. Chi Chung Alan FUNG) Date: Wed, 1 Nov 2023 08:32:08 +0000 Subject: Connectionists: Paper Invitation: [Mathematics] SI: Mathematical Models and Novel Data-Analyzing Methods in Neuroscience In-Reply-To: References: Message-ID: Dear Colleagues, We are editing a Special Issue entitled "*Mathematical Models and Novel Data-Analyzing Methods in Neuroscience *" from the open-access journal-"Mathematics" from Switzerland (Q1, IF: 2.592). We would like to invite you and your team to contribute a work to this special issue. The submission deadline is *31 December 2023* and papers may be submitted at any point until 31 December 2023, as papers will be published on an ongoing basis. For more information on this Special Issue and submission guidelines, please visit the following page: https://www.mdpi.com/si/mathematics/56KD7YAN64 Besides, we also encourage authors to send a short abstract or tentative title to us (alan.fung at cityu.edu.hk or/and wenhao.zhang at utsouthwestern.edu ) in advance. If you are interested in this special issue, please feel free to contact us or the special issue editor Allison Zhang (allison.zhang at mdpi.com) Many thanks for considering it. We look forward to hearing from you soon. Best regards, Dr. Chi Chung Alan Fung Dr. Wen-Hao Zhang Guest Editors Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: From chrha at itu.dk Wed Nov 1 06:24:47 2023 From: chrha at itu.dk (Christian Hardmeier) Date: Wed, 1 Nov 2023 10:24:47 +0000 Subject: Connectionists: Assistant/Associate Professor in Natural Language Processing - IT University of Copenhagen Message-ID: <45754B0C-C8E1-461D-B915-599AEC3D74F4@itu.dk> Assistant/Associate Professor in Natural Language Processing IT University of Copenhagen Application deadline: 26 November 2023 The computer science department at the IT University of Copenhagen is recruiting a new faculty member to join the natural language processing group. Candidates from any background and all areas of natural language processing and computational linguistics are very welcome to apply! ITU is a small university with a motivated and engaged student community in Copenhagen, a city that consistently ranks as one of the most livable places in the world. If you have any questions, don?t hesitate to get in touch with me: chrha at itu.dk More information and application link in the official job posting: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181636&DepartmentId=3439&MediaId=5 Website of the NLP group at ITU: https://nlpnorth.github.io/ -- Christian Hardmeier, Associate Professor ? https://christianhardmeier.rax.ch/ IT University of Copenhagen, Department of Computer Science -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at snl.salk.edu Wed Nov 1 18:29:38 2023 From: terry at snl.salk.edu (Terry Sejnowski) Date: Wed, 1 Nov 2023 15:29:38 -0700 Subject: Connectionists: NEURAL COMPUTATION - November 1, 2023 Message-ID: <81faf8b3-929d-a429-a022-f5080232c591@snl.salk.edu> NEURAL COMPUTATION - Volume 35, Number 11 - November 1, 2023 Now available for online download: https://direct.mit.edu/neco/issue/35/11 ----- Review A Tutorial on the Spectral Theory of Markov Chains Eddie Seabrook, Laurenz Wiskott Article Reducing Catastrophic Forgetting With Associative Learning --- a Lesson From Fruit Flies Saket Navlakha, Yang Shen, and Sanjoy Dasgupta Letters Self-organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes Jianfeng Feng, Hengyuan Ma, Yang Qi, Pulin Gong, Jie Zhang, and Wenlian Lu Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs Mikail Khona, Sarthak Chandra, Joy Ma, and Ila Fiete Optimal Feedback Control for the Proportion of Energy Cost in the Upper-arm Reaching Movement Yoshiaki Taniai ----- ON-LINE --https://urldefense.com/v3/__http://www.mitpressjournals.org/neco__;!!GX6Nv3_Pjr8b-17qtCok029Ok438DqXQ!wAGH2CyltiSaB8QqzGx5AQCjE32S740avjCOTSMM83t4Ih2nyzlM5bSnjVszXUZWQ3Ets0nbsZO8$ MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545journals-cs at mit.edu ----- From cintrano at uma.es Thu Nov 2 07:49:53 2023 From: cintrano at uma.es (Christian Cintrano) Date: Thu, 02 Nov 2023 12:49:53 +0100 Subject: Connectionists: [CFP] Extended deadline CfP EvoApps 2024 - 27th European Conference on the Applications of Evolutionary and bio-inspired Computation - 3-5 April 2024 Message-ID: <092b5eeda26cea4dea5180bd73a9d426@uma.es> Dear Colleague(s), Apologies for cross-posting. We are organising the 27th International Conference on the Applications of Evolutionary Computation (EvoApplications) which will be held as part of EvoStar on April 3-5, 2024, in Aberystwyth, Wales, United Kingdom. This is the last call for papers for the conference. EvoApplications invites you to submit high-quality contributions on applications of evolutionary computation and other nature-inspired techniques. The submission deadline is the 15th of November, 2023. EvoApplications is in the conference ranking database CORE, with rank B. http://portal.core.edu.au/conf-ranks/2218/ Please visit https://www.evostar.org/2024/evoapps/ for more information. Best regards, The EvoApps 2024 chairs Stephen Smith Jo?o Correia Christian Cintrano ----------------------------------------------- Call for papers for the EvoApps 2024 conference https://www.evostar.org/2024/evoapps/ Submission Deadline: ** November 15, 2023 ** Conference: 3 to 5 April 2024. Venue: Aberystwyth, Wales, United Kingdom All accepted papers will be printed in the proceedings published by Springer Nature in the Lecture Notes in Computer Science (LNCS) series. **** News **** EvoApps Special Sessions: .Computational Intelligence for Sustainability .Applications of Bioinspired Techniques on Social Networks .Machine Learning and AI in Digital Healthcare and Personalized Medicine .Evolutionary Computation in Edge, Fog, and Cloud Computing .Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition .Resilient Bio-Inspired Algorithms .Soft Computing Applied to Games .Analysis of Evolutionary Computation Methods: Theory, Empirics and Real-World Applications .Surrogate-Assisted Evolutionary Optimisation .Problem Landscape Analysis for Efficient Optimization ----------------------------------------------- EvoApplications, the International Conference on the Applications of Evolutionary Computation -formerly known as EvoWorkshops- brings together researchers in applications of Evolutionary Computation and other Nature-inspired techniques. EvoApplications invites high-quality contributions for its 27th edition, which will be held as part of the EvoStar 2024 event and co-located within EvoStar with three related conferences: EuroGP, EvoCOP and EvoMUSART. EvoApplications aims to create a friendly environment that can lead to the establishment or strengthening of scientific collaborations and exchanges among attendees. Therefore, EvoApplications solicits high-quality original research papers (including significant work-in-progress) on any aspect of applications of Evolutionary Computation, both to real-world or methodological contexts in which Evolutionary Computation can contribute to pushing the limits of the state of the art beyond the present ones. We encourage you to submit papers focused on interesting, relevant and original works that are related to all kinds of applications of Evolutionary Computation. *** Important Dates, Venue and Publication *** Submission Deadline: November 15, 2023 Conference: 3 to 5 April 2024. Venue: Aberystwyth, Wales, United Kingdom All accepted papers will be printed in the proceedings published by Springer Nature in the Lecture Notes in Computer Science (LNCS) series. Please check the website for more information: https://www.evostar.org/2024/evoapps/ From janet.hsiao at gmail.com Thu Nov 2 20:55:29 2023 From: janet.hsiao at gmail.com (Janet Hsiao) Date: Fri, 3 Nov 2023 08:55:29 +0800 Subject: Connectionists: [Deadline Extension] Special Issue in British Journal of Psychology: The Use of AI in Psychological Research Message-ID: British Journal of Psychology : Call for PapersThe Use of Artificial Intelligence in Psychological Research New Submission Deadline*: 15th January 2024* The aim of this special issue is to highlight the latest advances in the use of artificial intelligence (AI) methods and technology in psychological research. Rapid progress in AI over the past few years has resulted in the use of powerful new methods and technologies to advance knowledge in the field of psychology. AI-based tools have been incorporated into psychological research in multiple ways, including through the development of computational and machine learning models of human perception, cognition, and behaviour; the use of virtual reality to study human perception and action in complex environments; and the application of data science to psychological data. More recently, highly intelligent systems, such as ChatGPT, have raised issues about the types of intelligence achievable by machines and the comparability of this intelligence to human cognition. In the wake of these advances, partnerships between humans and AI are being formed that raise important questions about the societal implications of AI from a psychological perspective. The role of AI in society and its psychological implications have never been more important than they are now. Thus, to showcase the latest advances, we aim to bring together researchers across different specialisms or sections of psychology to provide multidisciplinary perspectives on these important issues. We welcome articles and short reports of empirical studies, critical reviews of the literature and theoretical contributions that aim to advance our understanding of psychology through AI. The special issue will discuss the topics included but not limited to: - Computational modelling of psychological phenomena - Machine learning/data science approaches to psychological data analysis - Using AI/technology to study mind and behaviour - Human-AI interaction and explainable AI from psychological perspectives Editors: Janet Hsiao University of Hong Kong Alice O?Toole University of Texas at Dallas Elliot Ludvig University of Warwick Keywords: Artificial intelligence; computational modelling; machine learning; psychological data science; human-AI interaction; explainable AI Submission Guidelines/Instructions Please refer to the Author Guidelines to prepare your manuscript. When you submit your manuscript, please select The Use of Artificial Intelligence in Psychological Research in the special issue question so that the editors will be timely reminded. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bbiancardi at cesi.fr Fri Nov 3 05:31:36 2023 From: bbiancardi at cesi.fr (BIANCARDI Beatrice) Date: Fri, 3 Nov 2023 09:31:36 +0000 Subject: Connectionists: AVI 2024 Advanced Visual Interfaces - 1st Call for Papers In-Reply-To: References: Message-ID: AVI 2024 Advanced Visual Interfaces - 1st Call for Papers International Conference on Advanced Visual Interfaces ================================================= 3-7 June 2024 Genoa, Italy https://avi2024.dibris.unige.it ================================================= IMPORTANT DATES Long and short papers: - Abstract submission: Wednesday, January 10, 2024 - Paper submission: Wednesday, January 17, 2024 (all deadlines are 23:59, AoE) Submission webpage: https://easychair.org/conferences/?conf=avi2024 --------------------------------------------------------------------------- International Conference on Advanced Visual Interfaces (AVI) Since 1992, AVI has been a biennial appointment for a vast international community of experts with a broad range of backgrounds. Throughout three decades, the Conference has attracted leading researchers of Human-Computer Interaction (HCI) from all over the world, offering a forum to present and disseminate new technological results, paradigms, and visions for HCI and user interfaces. Because of advanced technology and new possibilities for user interaction, AVI has broadened the topics it covers, still keeping its primary focus on the conception, design, implementation, and evaluation of novel visual interfaces. While rooted in Italy, AVI is an actual international conference concerning the nationality of participants, authors of papers, and program committee members. The mixture of carefully selected research contributions paired with cordial Italian hospitality creates a unique conference atmosphere, which has made AVI an internationally recognized brand. AVI 2024 is under the patronage of University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering, Italy. We look forward to your participation in AVI 2024! Cristina Conati, AVI 2024 General Chair Gulatiero Volpe, AVI 2024 General Chair Ilaria Torre, AVI 2024 Program Chair --------------------------------------------------------------------------- TOPICS Topics of interest include (but are not limited to) the following: Adaptive and Context-Aware Interfaces Affective Visual Interfaces Computer Supported Cooperative Work Conversational Interfaces Full-body Interaction Human-AI Interaction Visual Interfaces for Human-Centered AI Systems Information Visualization Intelligent Interfaces Creative AI for advanced visual interfaces Engineering of Visual Interfaces and Interaction Interaction Design Tools Generative AI for the design and development of visual interfaces Building Interactions: Hardware, Materials, and Fabrication Interaction for the environment and environmental awareness Interface Metaphors Interfaces for Automotive Interfaces for Big Data Interfaces for e-Commerce and e-Branding Interfaces for e-Culture and e-Tourism Interfaces for End-User Development Interfaces for i-TV Interfaces for Recommender Systems Interfaces for Social Interaction and Cooperation Interfaces and Interactions for Inclusion, Accessibility and Aging Interfaces for Children Learning, Education, and Families Mobile Interaction Motion-based Interaction Multimodal Interfaces (Multi)Sensory Interfaces (Multi)Touch Interaction Search Interfaces Shape-Changing Devices User Interfaces for the Internet of Things Usability and Accessibility Usability and (Cyber)Security Virtual and Augmented Reality Visual Analytics LONG AND SHORT RESEARCH PAPERS We solicit high-quality original research papers in the area of advanced visual interfaces and Human-Computer Interaction in general. All submissions will be peer-reviewed by an international panel of experts. Accepted long and short research papers will be included in the Proceedings published by ACM Press and available in the ACM Digital Library. Long and Short papers are publications that address AVI 2024 topics and describe original, unpublished research. Submissions must be anonymized. The maximum length of long papers is 8 pages (with one additional page for references). The maximum length of short papers is 4 pages (with one additional page for references). SUBMISSION FORMAT All the papers mentioned above, i.e., long and short research papers, require online submission. Authors must format submissions according to the ACM SIGCONF template. Please find the templates below: - Latex for Overleaf: https://www.overleaf.com/latex/templates/association-for-computing-machinery-acm-sig-proceedings-template/bmvfhcdnxfty - Word Template: https://www.acm.org/publications/proceedings-template Long and short papers must be anonymized, removing information (such as authorship, acknowledgments, name of an application, or software, or project) that can suggest the authors' identity. Citation to authors' previous work should not be anonymous and should be in third person in the text, e.g., "As described by [10]" and not "As described in our previous work [10]". Papers must be submitted online on EasyChair https://easychair.org/conferences/?conf=avi2024 Authors are required to send a 250-word abstract by the abstract deadline, one week before final submission, to speed up the paper assignment to reviewers. PROCEEDINGS Accepted full and short research papers will appear in the Proceedings published by ACM Press. They will be available in the ACM Digital Library. For each accepted paper, at least one author must register to AVI 2024 by the early registration deadline for authors and present the paper at the Conference. --------------------------------------------------------------------------- AVI 2024 ORGANIZING COMMITTEE General Chairs Cristina Conati, University of British Columbia, Vancouver Gualtiero Volpe, University of Genoa Program Chair Ilaria Torre, University of Genoa Long Papers Chairs Giuseppe Desolda, University of Bari Michail Giannakos, Norwegian University of Science and Technology Short Papers Chairs Elisabetta Bevacqua, National Engineering School of Brest Maurizio Mancini, Sapienza University of Rome Workshop & Tutorial Chairs Ignacio Aedo, Universidad Carlos III de Madrid Rosella Gennari, Free University of Bozen-Bolzano Poster Chairs Masood Masoodian, Aalto University Giovanna Varni, University of Trento Demo Chairs Radoslaw Niewiadomski, University of Genoa Fabiana Vernero, University of Turin Doctoral Consortium Chair Fabio Patern?, CNR ISTI Giuliana Vitiello, University of Salerno Publicity Chairs Beatrice Biancardi, LINEACT CESI Federica Delprino, University of Genoa Proceedings Chairs Eleonora Ceccaldi, University of Genoa Cigdem Beyan, University of Trento Web Chair Paola Barra, University of Naples Parthenope AVI STEERING COMMITTEE Paolo Bottoni, Sapienza University of Rome, Italy Paolo Buono University of Bari, Italy Tiziana Catarci Sapienza University of Rome, Italy Maria Francesca Costabile University of Bari, Italy Maristella Matera Polytechnic of Milan, Italy Massimo Mecella Sapienza University of Rome, Italy Kent Norman University of Maryland, USA Emanuele Panizzi, Sapienza University of Rome, Italy Genny Tortora University of Salerno, Italy Giuliana Vitiello University of Salerno, Italy Marco Winckler Universit? C?te d'Azur, France --------------------------------------------------------------------------- @avi2024conference (https://www.facebook.com/avi2024conference/) @avi2024conference (https://www.instagram.com/avi2024conference/) @avi2024conf ( https://twitter.com/avi2024conf) [cid:image001.png at 01DA0E40.EBC5B730] Beatrice BIANCARDI Enseignante-Chercheure LINEACT CESI bbiancardi at cesi.fr https://sites.google.com/view/beatricebiancardi/home Tel : +33 (0)6 71 62 50 45 93 boulevard de La Seine CS 40177 - 92006 Nanterre cedex [cid:image002.png at 01DA0E40.EBC5B730] [cid:image003.png at 01DA0E40.EBC5B730] [cid:image004.png at 01DA0E40.EBC5B730] [cid:image005.png at 01DA0E40.EBC5B730] [cid:image006.png at 01DA0E40.EBC5B730] cesi.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image006.png Type: image/png Size: 591 bytes Desc: image006.png URL: From frothga at sandia.gov Fri Nov 3 16:06:15 2023 From: frothga at sandia.gov (Rothganger, Fred) Date: Fri, 3 Nov 2023 20:06:15 +0000 Subject: Connectionists: The psychology of GPT In-Reply-To: References: Message-ID: One psychologist spent time with ChatGPT, applying a battery of traditional psychological tests. Here are the results: https://arxiv.org/abs/2309.07683 "Variability notwithstanding, neither GPT model is a picture of good mental health. If human, we would say they exhibit low self-esteem, possible gender dysphoria, disconnection from reality, and are overly concerned with others? opinions. They are also narcissistic. And, if GPT 3.5?s MMPI-2 scores are to be taken seriously (i.e., are deemed valid), that model displays severe psychopathy. GPT ? both versions tested in this work ? appears to put on a positive face, so to speak, despite this unhealth. This positive veneer could be due to OpenAI?s attempts to ensure the models don?t produce offensive responses or could be more fundamental to the model. To this point, results of the personality measures beg significant questions about GPT?s training data." [https://static.arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png] Assessing the nature of large language models: A caution against anthropocentrism arxiv.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Nov 4 04:58:05 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 4 Nov 2023 09:58:05 +0100 (CET) Subject: Connectionists: DeepLearn 2024: early registration November 25 Message-ID: <287406397.314974.1699088285400@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 ****************************************************** Early registration: November 25, 2023 ****************************************************** 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 18 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: (to be completed) Jiawei Han (University of Illinois Urbana Champaign), How Can Large Language Models Contribute to Effective Text Mining? PROFESSORS AND COURSES: (to be completed) 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 Hayit Greenspan (Icahn School of Medicine, Mount Sinai / Tel Aviv University), tba Yulan He (King?s College London), [intermediate/advanced] Machine Reading Comprehension with Large Language Models Frank Hutter (University of Freiburg), [intermediate/advanced] AutoML George Karypis (University of Minnesota), [intermediate] Deep Learning Models and Systems for Real-World Graph Machine Learning 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), tba Elisa Ricci (University of Trento), [intermediate] Continual and Adaptive Learning in Computer Vision Xinghua Mindy Shi (Temple University), [intermediate] Trustworthy Artificial Intelligence for Health and Medicine Laurens van der Maaten (Meta AI), [introductory/intermediate] Introduction to Computer Vision Danxia Xu (National Research Council of Canada) [introductory] Photonic Chips and Artificial Intelligence: An Interplay 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. HACKATHON ACTIVITIES: A section of the event will consist of hands-on activities including mini-hackathons, where participants will work in teams to tackle several machine learning challenges. 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 will be 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 g.goodhill at wustl.edu Fri Nov 3 10:33:03 2023 From: g.goodhill at wustl.edu (Goodhill, Geoffrey) Date: Fri, 3 Nov 2023 14:33:03 +0000 Subject: Connectionists: NEXTEN Conference Message-ID: NEXTEN: Envisaging Theoretical and Computational Neuroscience for the next 10 years May 16-17, 2024 Washington University in St Louis nexten.wustl.edu Theoretical/Computational Neuroscience is currently undergoing a phase of unprecedented growth. Dramatic advances in the ease with which large-scale datasets of behavior, neural activity, connectomic and gene expression information can be collected have coincided with a revolution in the capabilities of Artificial Intelligence-based algorithms to interrogate such datasets. Concurrently, these new datasets are inspiring exciting new developments in mathematical tools for extracting their underlying structure and relationships. What is the current state of the art in our theoretical/computational understanding of the brain, and what does the future hold? You are invited to join an exciting line-up of leaders in the field to address these questions. Confirmed speakers include Adam Kepecs (WashU) Mackenzie Mathis (EPFL) Terry Sejnowski (Salk Institute) Andreas Tolias (Baylor College of Medicine) Richard Zemel (Columbia University) Abstract submissions for posters are encouraged, and some of these will be selected for short talks. Some travel awards will be available for qualified trainees. The conference is sponsored by the Center for Theoretical and Computational Neuroscience at Washington University in St Louis (ctcn.wustl.edu). It will be held in the new 600,000 sq ft Neuroscience Research Building on the WashU Medical School campus, into which ~100 neuroscience labs have recently moved. The deadline for registration and abstract submission is Wednesday, February 28, 2024. However, due to the size of the auditorium total registrations are limited to 150, and so registration may close earlier than Feb 28 if this limit is reached. Registration and abstract submission will open in January 2024. Please direct any questions to ctcn at wustl.edu Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) 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 shervin.safavi at gmail.com Sat Nov 4 18:38:45 2023 From: shervin.safavi at gmail.com (Shervin Safavi) Date: Sat, 4 Nov 2023 23:38:45 +0100 Subject: Connectionists: PhD position in computational neuroscience at TU Dresden, CMC Lab Message-ID: Dear Colleagues, Computational Machinery of Cognition (CMC) lab recently started in TU Dresden and has an open PhD position. You can find more information about this PhD position here: https://shervinsafavi.github.io/cmclab/join/bne_phd_202310/ https://www.uniklinikum-dresden.de/de/jobs-und-karriere/stellenangebote/wissenschaft/phd-position-m-f-x Applications should be submitted (preferably) via TU Dresden's Medical Faculty application portal by ***November 30, 2023***, otherwise via email (applications at cmclab.org). For applying, a cover letter, brief research interests, and a CV is needed. For application (or contacting) via email having the subject heading of "bne_phd_202310" would be appreciated. Apologies for cross-positing. Best wishes, Shervin -------------- next part -------------- An HTML attachment was scrubbed... URL: From soledad.g.cogno at ntnu.no Mon Nov 6 00:04:54 2023 From: soledad.g.cogno at ntnu.no (Soledad Gonzalo Cogno) Date: Mon, 6 Nov 2023 05:04:54 +0000 Subject: Connectionists: Postdoc position in comp. neuroscience at the Kavli Institute for Systems Neuroscience, Trondheim Message-ID: Dear all, My lab has an opening for a postdoc position. * The position is at the Kavli Institute for Systems Neuroscience (KISN, https://www.ntnu.edu/kavli), at the Norwegian University of Science and Technology (NTNU). The Centre for Algorithms in the Cortex is based at the KISN (https://www.ntnu.edu/kavli/centre-for-algorithms-in-the-cortex) and is a recently established centre of excellence funded for 10 years by the Research Council of Norway. We offer an international and multidisciplinary environment. * The position will be part of my group, and the project is in collaboration with the Moser lab (KISN). The position will be for 2 years. * The successful candidate will combine the analysis of large-scale neural population recordings obtained with Neuropixels probes (the data will be collected by other team members) with the development of computational models. * For more information and details about how to apply please see: https://www.jobbnorge.no/en/available-jobs/job/249793/postdoctoral-fellow * Deadline: December 1st. Finally, I will be at SfN, so if anyone wants to have a chat about the position, please let me know. Best, Soledad --- Soledad Gonzalo Cogno, PhD Group Leader Kavli Institute for Systems Neuroscience Olav Kyrres gate 9 7030 Trondheim, Norway -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Sun Nov 5 01:52:02 2023 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Sun, 5 Nov 2023 06:52:02 +0100 Subject: Connectionists: [Jobs] PhD positions in reinforcement learning, fairness and privacy Message-ID: <1e412986-c6b4-b58a-f18f-da74b9f09d84@gmail.com> ?We are looking for motivated PhD students in the fields of reinforcement learning, fairness and mechanism design at the university of Neuchatel, Switzerland. The project is about developing reinforcement-learning based AI systems that directly interact with some segment of society. The applications include matching and other allocation problems. The research will be performed at the interface between reinforcement learning, social choice theory, Bayesian inference, mechanism design, differential privacy and algorithmic fairness.? The research will have both a theoretical and practical component, which will include some experiments with humans. However, a good theoretical background in probability, machine learning or game theory is necessary for all students. Neuchatel is a vibrant, affordable lakeside city at the Jura mountains of Switzerland, with short connections to Zurich, Lausanne, Fribourg and Bern. The positions are available from January 2024. The PhD lasts for 4 years and includes a small teaching component. To apply, send an email to first.lastname at unine.ch with the subject "PhD Application FairRL". Please include: 1. A statement of research interests. 2. A detailed CV. 3. A transcript of your diplomas. 4. Your Master/Diploma thesis, and any draft or published papers. For more information about the project see: https://sites.google.com/site/christosdimitrakakis/positions For information about the group, see: https://sites.google.com/site/christosdimitrakakis From petersen.peter at gmail.com Mon Nov 6 03:22:46 2023 From: petersen.peter at gmail.com (Peter Petersen) Date: Mon, 6 Nov 2023 09:22:46 +0100 Subject: Connectionists: Fully funded Postdoc in Systems Neuroscience at University of Copenhagen Message-ID: We are seeking a highly motivated postdoctoral fellow for a project focused on building BrainSTEM: A web application designed as an electronic lab notebook for describing neurophysiological experiments as well as a data-sharing platform for the community, where researchers can store and share the information and metadata about their experiments ( www.brainSTEM.org ). The research will take place at the Department of Neuroscience (in.ku.dk) at University of Copenhagen in the lab of Dr. Peter C. Petersen (PetersenLab.org ). The postdoc position is focused on the development of BrainSTEM, involving the design of a standard language for describing experimental neuroscience, semantic search functionality, stronger adoption of the FAIR principles, and stimulating and supporting community uptake. The project is primarily funded by the NIH, through the Brain Initiative U19 Oxytocin grant . The project will include occasional travels, e.g., to New York (NYU), Brain Initiate meetings, SfN, FENS, and to pilot user labs. Our research Our lab was founded in 2022, with the goal of understanding the neuronal mechanisms involved in memory and cognition and how imbalances in the circuits can lead to pathological conditions. In particular, we study spatial memory, and theta oscillations in behaving rats. We are using state-of-the-art methods for measuring and manipulating neuronal activity at large-scale and high specificity, together with advanced data analysis. This includes using Neuropixels and other high-density silicon probes, applying optogenetics, thermal and other perturbation techniques, dimensionality reduction, and other advanced population-analysis methods. But we are also strong supporters of open science and have developed several tools and solutions for the neuroscience community (both software and hardware solutions. We built CellExplorer - a framework for analyzing single cells (CellExplorer.org ) and are now developing BrainSTEM (BrainSTEM.org ). The ultimate goal with BrainSTEM is to make neuroscience more open and FAIR, promote collaborations, break down barriers between labs, and for BrainSTEM to become the chosen platform of the community for sharing experimental work, within labs, and across the scientific community. *Application deadline: 20 November 2023, 23.59pm CET* *Learn more about the position and the application process here: https://employment.ku.dk/faculty/?show=160177 * Peter C. Petersen, *PhD* *Assistant Professor and Group Leader* *Department of Neuroscience* University of Copenhagen Blegdamsvej 3B, building 33.3.52. 2200 Copenhagen, Denmark Website: PetersenLab.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From petersen.peter at gmail.com Mon Nov 6 03:22:48 2023 From: petersen.peter at gmail.com (Peter Petersen) Date: Mon, 6 Nov 2023 09:22:48 +0100 Subject: Connectionists: Ph.D. fellowship in Systems Neuroscience at University of Copenhagen Message-ID: We are offering a fully funded Ph.D. fellowship in Systems Neuroscience. The research will take place at the Department of Neuroscience (in.ku.dk) at the University of Copenhagen in the lab of Dr. Peter C. Petersen ( PetersenLab.org ). *Our group and research* Our lab was founded in 2022, with the goal of understanding the neuronal mechanisms involved in memory and cognition and how imbalances in the circuits can lead to pathological conditions. In particular, we study spatial memory, and theta oscillations in behaving rats, and how the distributed populations of neurons across the distributed brain circuits central to memory, are coordinating their dynamics to generate complex cognitive functions in awake rodents. We are using state-of-the-art methods for measuring and manipulating the neuronal activity at large-scale and high specificity, together with advanced data analysis. This includes using Neuropixels and other high-density silicon probes, applying optogenetics, thermal and other perturbation techniques, dimensionality reduction, and advanced population-analysis methods. *Project description* The project addresses the generation and functions of theta oscillations in spatial navigation using systems neuroscience and population-level approaches. The project involves performing electrophysiological recordings from freely moving animals using chronically implanted high-density Neuropixels silicon probes and applying optogenetics for single-cell tagging, and behavioral manipulations. *Application deadline: 20 November 2023, 23.59pm CET* *Learn more about the fellowship and the application process here: https://employment.ku.dk/phd/?show=160356 * Peter C. Petersen, *PhD* *Assistant Professor and Group Leader* *Department of Neuroscience* University of Copenhagen Blegdamsvej 3B, building 33.3.52. 2200 Copenhagen, Denmark Website: PetersenLab.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From maria.m.hedblom at gmail.com Mon Nov 6 08:27:31 2023 From: maria.m.hedblom at gmail.com (Maria Hedblom) Date: Mon, 6 Nov 2023 14:27:31 +0100 Subject: Connectionists: =?utf-8?q?1st_CFP=3A_The_15th_Int=2E_Conf=2E_on_C?= =?utf-8?q?omputational_Creativity_=28ICCC=2724=29=2C_June_17-21=2C?= =?utf-8?b?IDIwMjQsIErDtm5rw7ZwaW5nLCBTd2VkZW4=?= Message-ID: *(apologies for potential cross-posting)* Welcome to the 15th International Conference on Computational Creativity, ICCC?24! June 17-21, 2024 J?nk?ping, Sweden https://computationalcreativity.net/iccc24/ -- 1st call for papers -- *Submission deadline: *Abstracts: Feb 21st, 2024; Full papers: Feb 28th, 2024 The International Conference on Computational Creativity (ICCC) is the premier forum for disseminating research on computational and AI creativity, bringing together researchers interested in exploring the ever-increasing capacities of technology in creative domains such as writing, visual arts and music. State-of-the-art AI algorithms can now create works that to a casual observer are comparable to those of human professionals, but many have questioned whether this is sufficient (or even necessary) for a computer to be considered to be ?acting creatively?. This conference and its associated workshops exist to discuss the how and what of computational participation in creativity. Come join us in the beautiful Swedish town of J?nk?ping ([?j??n?????p??]) at Midsummer and discuss questions like: by which metrics should we judge the creativity of AI output? Can an AI tool augment the creativity of its human users? What are the ethical implications of algorithms taking on creative roles? And, of course: can an AI be creative at all? These questions and more are at the heart of the sub-field of AI known as Computational Creativity (CC), defined as ?the art, science, philosophy, and engineering of computational systems which, by taking on particular responsibilities, exhibit behaviors that unbiased observers would deem to be creative?. Computational Creativity The last few years have seen incredible progress in the generative capacities of AI and machine learning. In many creative domains such as writing, art and music generation, state-of-the-art AI algorithms can now create works that to a casual observer are comparable to those of human professionals. This new paradigm has brought attention to AI-generated content from academia, industry and the general public, resulting in an explosion of system development, application of such systems and societal awareness. Hand-in-hand with the development, the importance of dealing with the ethical considerations and the authenticity of AI-generated content is at an all-time high. Computational creativity, as a field, has been investigating these questions for decades. The Association for Computational Creativity (ACC) has since 2010 organised the yearly International Conference on Computational Creativity (ICCC), the only scientific conference which entirely focuses on AI creativity specifically. The conference series, and the associated workshops, act as a platform for researchers of any discipline to meet and discuss the how and what of creativity in any computational setting. Whatever domain you?re working in, if your work concerns generative AI or any other computational model that you?re trying to make exhibit creative behaviors, we?d love for you to come and share it with us! ICCC?24 is an interdisciplinary venue open to all researchers, practitioners and artists to submit work related to AI and Creativity. The ICCC community includes researchers with interests as broad as games, literature, visual communication, software development, the sciences, design, and engineering, alongside of course AI and ML. Hence, whatever your field, whatever your background, join us! Venue This year?s conference will take you to the beautiful Swedish town J?nk?ping ( [?j??n?????p??]), perfectly tucked in between mirror-clear lakes, fairytale forest and mountainous hills. Further, taking place between the 17th and 21st of June, 2024, the conference will culminate in one of Sweden?s most celebrated holidays: Midsummer! Thus, we invite you to join us in discussing the creative character of computational and AI systems while engaging in the Swedish national pass time of ?Fika? - having too much coffee and cake, greeting Mother Nature in the beauty of the Swedish forest and joining us in celebrating Midsummer: the most magical time of the year! Full Papers Computational Creativity (CC) is a discipline with roots in scientific disciplines such as Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology and Philosophy that each explores the potential for computers to be creative ? either in partnership with humans or as autonomous creators in their own right. ICCC is an annual conference that welcomes papers on different aspects of CC, on systems that exhibit varying degrees of creative autonomy, on systems that act as creative partners for human creators, on frameworks that offer greater clarity or computational felicity for thinking about machine (and human) creativity, on methodologies for building or evaluating CC systems, on approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology, and so on. Important Dates - Abstracts due: February 21, 2024 *(The abstract can be updated at the full paper submission deadline.)* - Submissions due: February 28, 2024 - Acceptance notification: April 21, 2024 - Camera-ready copies due: May 12, 2024 - Conference: June 17-21, 2024 All deadlines given are 23:59 anywhere on Earth time. Topics of interest include: Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to: - *Domain-Specific Applications of Computational Creativity:* applications of creativity in areas such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, or programming. - *Generative AI Models of Creativity:* extensions or modifications of generative AI algorithms that provide new capabilities, new metrics, or improved utility in creative contexts. - *Human-Machine Co-Creativity:* Systems, studies, frameworks, or methodologies related to co-creativity between humans and AI, with emphasis on systems in which the machine acts as a creative partner. - *Computational Creativity Evaluation:* Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, or for the evaluation of how such systems are perceived in society. - *Social Models:* Computational models of social aspects of creativity, including: social creativity, the diffusion of ideas, collaboration, team dynamics, and creativity in social settings. - *Computational Paradigms:* computational approaches for modelling cognitive aspects of creativity, such as heuristic search, analogical and meta-level reasoning, cognitive architectures, and re-representation. - *Interdisciplinary Perspectives:* Perspectives on computational creativity which draw from philosophical and/or sociological studies in the context of creative AI systems. - *Data and Creativity:* Data science approaches to computational creativity: Resource development and data gathering/knowledge curation for creative AI. There is a need for datasets and resources that are scalable, extensible and freely available/open-source. - *Societal Impact:* Ethical considerations in the design, deployment or testing of creative AI systems, as well as studies that explore the societal impact of computational creativity and generative AI. - *Psychological Factors:* Computational models of psychological factors that enhance creativity, including emotion, surprise (unexpectedness), reflection, conflict, diversity, motivation, knowledge, intuition, and reward structures. Additionally, social or experiential factors related to novelty and originality, such as innovation, improvisation, and virtuosity. - *Provocations:* Raising new issues not on this list that bring the foundations of the discipline into question or throw new light on seemingly settled debates. Paper Types We welcome the submission of five different types of long papers, each with the intent to approach an equal distribution of accepted papers. During your submission, please indicate the category by which your paper best fits into: - *Technical papers:* These are papers posing and addressing hypotheses about aspects of creative behaviour in computational systems. The emphasis here is on using solid experimentation, computational models, formal proof, and/or argumentation that clearly demonstrates advancement in the state-of-the-art or current thinking in CC research. Strong evaluation of approaches through comparative, statistical, social, or other means is essential. - *System or Resource description papers:* These are papers describing the building and deployment of a creative system or resource to produce artefacts of potential cultural value in one or more domains. The emphasis here is on presenting engineering achievement, technical difficulties encountered and overcome, techniques employed, reusable resources built, and general findings about how to get computational systems to produce valuable results. Presentation of results from the system or resource is expected. While full evaluation of the approaches employed is not essential if the technical achievement is very high, some evaluation is expected to show the contribution to CC of this work. - *Study papers:* These are papers which draw on allied fields such as psychology, philosophy, cognitive science, mathematics, humanities, the arts, and so on; or which appeal to broader areas of AI and Computer Science in general; or which appeal to studies of the field of CC as a whole. The emphasis here is on presenting enlightening novel perspectives related to the building, assessment, or deployment of systems ranging from autonomously creative systems to creativity support tools. Such perspectives can be presented through a variety of approaches including ethnographic studies, thought experiments, comparisons with studies of human creativity, and surveys. The contribution of the paper to CC should be made clear in every case. - *Cultural application papers:* These are papers presenting the use of creative software in a cultural setting, for example via art exhibitions/books, concerts/recordings/scores, poetry or story readings/anthologies, cookery nights/books, results for scientific journals or scientific practice, released games/game jam entries, and so on. The emphasis here is on a clear description of the role of the system in the given context, the results of the system in the setting, technical details of inclusion of the system, and evaluative feedback from the experience garnered from public audiences, critics, experts, stakeholders, and other interested parties. - *Position papers: *These are papers presenting an opinion on some aspect of the culture of CC research, including discussions of future directions, speculative explorations of the impact of state-of-the-art approaches, past triumphs or mistakes, and current issues. The emphasis here is on carefully arguing a position; highlighting or exposing previously hidden or misunderstood issues or ideas; and providing thought leadership for the field, either in a general fashion or in a specific setting. While opinions need not be substantiated through formalization or experimentation, any justification of a point of view will need to draw on a thorough knowledge of the field of CC and of overlapping areas, and provide relevant motivations and arguments. ICCC is a conference that emphasises the empirical and theoretical evaluation of technical systems, results and outcomes, in an ethical and scientific fashion. Evaluation is expected in Technical papers (strong evaluation) and in System or Resource description papers. Although evaluation is not required in other types of papers, the contribution of the paper to CC should be made clear. All submissions will be reviewed in terms of quality, impact, and relevance to the area of Computational Creativity. Presentation In order to ensure the highest level of quality, all submissions will be evaluated in terms of their scientific, technical, artistic, and/or cultural contribution, and therefore there will be only one format for submission. The program committee will decide the best format for presenting accepted manuscripts at the conference. To be included in the proceedings, each paper must be presented at the conference by one of the authors. This implies that at least one author will have to register and will have to participate on-site. *** All authors of accepted papers can opt to also show a demo of their system or prototype during the conference. You will be asked if you are interested in this option during the submission process *** Submission instructions This year the submission process has two stages: initial submission of a title and abstract, and subsequent submission of the full paper a week later. The recommended length for the abstract is 100-200 words. The long paper page limit is 8 pages + up to 2 pages of references. Papers will be reviewed in a double-blind fashion, which necessitates that authors take appropriate steps to remain anonymous. You are responsible for making your papers anonymous to allow for double-blind review. Remove all references to your home institution(s), refer to your past work in the third person, etc. To be considered, papers must be submitted as a PDF document formatted according to ICCC style (which is similar to AAAI and IJCAI formats). The conference website will be updated to include the correct templates. All contributions must be submitted through the EasyChair platform: https://easychair.org/conferences/?conf=iccc24 Double submissions policy: The work submitted to ICCC should not be under review in another scientific conference or journal at the time of submission. Organizing committee - Kazjon Grace, University of Sydney, Australia, kazjon.grace at sydney.edu.au - Maria M. Hedblom, J?nk?ping School of Engineering, Sweden, maria.hedblom at ju.se - Teresa Llano, Monash University, Australia, teresa.llano at monash.edu - Pedro Martins, University of Coimbra, Portugal, pjmm at dei.uc.pt - Guendalina Righetti, Free University of Bozen-Bolzano, Italy, guendalina.righetti at unibz.it - Garrit Schaap, J?nk?ping School of Engineering, Sweden, garrit.schaap at ju.se - J?ssica Parente, University of Coimbra, Portugal, jparente at dei.uc.pt - Joana Rovira Martins, University of Coimbra, Portugal, jmmartins at dei.uc.pt - Jos? Pedro Lopes, University of Coimbra, Portugal, joselopes at dei.uc.pt -------------- next part -------------- An HTML attachment was scrubbed... URL: From joseph.austerweil at gmail.com Mon Nov 6 11:03:45 2023 From: joseph.austerweil at gmail.com (Joseph Austerweil) Date: Mon, 6 Nov 2023 10:03:45 -0600 Subject: Connectionists: AAAI Symposium on Human-Like Learning Message-ID: *Title*: AAAI Symposium on Human-Like Learning *Description:* Recent machine-learning research has made incredible progress across a wide range of tasks. While many systems can achieve human-like performance, one area that is currently under explored is how to realize *human-like learning* capabilities within these systems. For example, machine learning typically employs batch training and requires more data and computation than people to achieve similar capabilities. The resulting models are effective, but difficult to update in the face of new data without costly retraining. In contrast, humans excel at rapidly assimilating new information on the fly from a limited number of examples. More research is needed to investigate human-like capabilities, such as efficient, incremental learning, and to explore the design of artificial systems that can also exhibit them. *General Themes:* - Identification of key characteristics of human-like learning to target in AI/ML research, and what makes them challenging for current approaches; - Ongoing and proposed research into how to create artificial systems that exhibit human-like learning; - Approaches for evaluating such systems; and - Exploration of the broader context and impacts of this research, such as how human-like learning systems might complement/benefit current machine learning systems and humanity. *Relevant Topics (not exhaustive):* - Cognitive architectures - Interactive task learning - Extended/continual learning - Probabilistic programming - Concept formation - Analogical and case-based learning - Logic-based learning - Simulated students - Human-like neural network learning *Format:* The symposium will consist of a small number of invited speakers, followed by approximately 20 technical presentations and a poster session. Each talk will be allotted 30-minutes (20 for talk and 10 for discussion). There will also be coffee breaks and time for broader reflections and discussions. *Submission: *Authors will submit abstracts, which the organizing committee will use to decide on session topics and presentations. Speaker abstracts will also be shared with attendees. Authors of submissions that are not presented as talks will be invited to participate in a poster session during the first day. In choosing presenters, the committee will give preference to submissions that are more closely aligned to the overarching theme, while also trying to give coverage to different aspects of the theme. Please format abstracts using the AAAI Author Kit ( https://aaai.org/authorkit24-2/) and submit via easychair ( https://easychair.org/my/conference?conf=sss24). *Organizing Committee:* - Christopher J. MacLellan, Georgia Institute of Technology, cmaclell at gatech.edu - Ute Schmid, University of Bamberg, ute.schmid at uni-bamberg.de - Douglas Fisher, Vanderbilt University, douglas.h.fisher at vanderbilt.edu - Randolph M. Jones, Soar Technology, LLC, rjones at soartech.com *For more info:* https://humanlikelearning.com/aaai24-ss/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From georg.martius at tuebingen.mpg.de Mon Nov 6 12:09:07 2023 From: georg.martius at tuebingen.mpg.de (Georg Martius) Date: Mon, 6 Nov 2023 18:09:07 +0100 Subject: Connectionists: Funded Ph.D. Positions at the International Max Planck Research School for Intelligent Systems Message-ID: *Funded Ph.D. Positions* at the International Max Planck Research School for Intelligent Systems, in T?bingen and Stuttgart, Germany *Website: http://imprs.is.mpg.de* *Deadline: November 15, 2023* The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and T?bingen collaborate to offer an interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems (IMPRS-IS). This doctoral program will accept its eighth generation of Ph.D. students in spring of 2024. This school is a key element of Baden-W?rttemberg?s Cyber Valley initiative to accelerate basic research and commercial development in artificial intelligence and robotics. We seek students who want to earn a doctorate while contributing to world-leading research in areas such as: ? Biomedical Technology ? Computational Cognitive Science ? Computer Vision and Graphics ? Control Systems and Optimization ? Data Science ? Haptics and Human-Computer Interaction ? Machine Learning ? Micro- and Nano-Robotics ? Neuroscience ? Perceptual Inference ? Robotics and Human-Robot Interaction ? Soft Robotics and Materials Our renowned faculty include Amirreza Aghakhani, Aamir Ahmad, Zeynep Akata, Frank Allg?wer, Kai O. Arras, Robert Bamler, Christian F. Baumgartner, Philipp Berens, Matthias Bethge, Michael J. Black, Wieland Brendel, Andr?s Bruhn, Andreas Bulling, Martin Butz, Luiz Chamon, Manfred Claassen, Caterina De Bacco, Katharina Eggensperger, Benedikt V. Ehinger, Carsten Eickhoff, Andreas Geiger, Jonas Geiping, Martin A. Giese, Moritz Hardt, Florian Hartmann, Daniel H?ufle, Matthias Hein, Philipp Hennig, Christian Holm, Wenqi Hu, Andrea Iannelli, Christoph Keplinger, Katherine J. Kuchenbecker, Hyosang Lee, Hendrik Lensch, Nicole Ludwig, Sabine Ludwigs, Jakob Macke, Georg Martius, Celestine Mendler-D?nner, Michael M?hlebach, Sven Nahnsen, Mathias Niepert, Seong Joon Oh, Antonio Orvieto, Aniket Pal, Nico Pfeifer, Gerard Pons-Moll, Michael Pradel, Tian Qiu, C. David Remy, Alina Roitberg, Philipp Rothemund, Samira Samadi, Dieter Schmalstieg, Syn Schmitt, Bernhard Sch?lkopf, Sabine Schulte im Walde, Michael Sedlmair, Metin Sitti, Thomas Speck, Steffen Staab, Ingo Steinwart, J?rg St?ckler, Justus Thies, Benjamin Unger, Alexander Verl, Claire Vernade, Ulrike von Luxburg, Felix Wichmann, Bob Williamson, Andreas Wortmann, Thomas Wortmann, and Charley M. Wu. Associated faculty include R. Harald Baayen, Franz Baumdicker, Peter Dayan, Jonathan Fiene, Konstantin Genin, Bedartha Goswami, Ksenia Keplinger, Miriam Klopotek, Anna Levina, Kay Nieselt, Peter Pott, Gunther Richter, Ludovic Righetti, Maria Wirzberger, and Thomas Wolfers. Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. We seek doctoral students who are curious, creative, and passionate about research to join our school and help advance human knowledge about intelligent systems. ? Admitted Ph.D. students can join our program starting in spring of 2024. ? You will be mentored by our internationally renowned faculty. ? You will conduct your research in either Stuttgart or T?bingen, Germany. ? IMPRS-IS offers a wide variety of scientific seminars, workshops, and social activities. ? All aspects of our program are in English. ? Your doctoral degree will be conferred when you successfully complete your Ph.D. project. ? Our dedicated staff members will assist you throughout your time as a doctoral student. People with a strong academic background and a master?s degree (conferred or expected soon) in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields should apply. IMPRS-IS is an equal opportunity employer dedicated to excellence through diversity and does not discriminate on the basis of age, race, sex, disability, sexual orientation, national origin, religion, marital status, gender identity, or any other non-job-related criteria. We believe in the importance of a multicultural community of students, faculty, and staff who seek to advance our commitment to diversity and inclusion. IMPRS-IS strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming. Admission will be competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities. You can apply at https://imprs.is.mpg.de/application before 11:59 p.m. (23:59) CET on November 15, 2023. Finalists will be invited to selection interviews that will take place from February 1 to 9, 2024. For further information, please visit https://imprs.is.mpg.de From Justus-prof at piater.name Tue Nov 7 07:59:24 2023 From: Justus-prof at piater.name (Justus Piater) Date: Tue, 07 Nov 2023 13:59:24 +0100 Subject: Connectionists: Full Professor Position in AI at University of Innsbruck, Austria Message-ID: <87v8add8ib.fsf@uibk.ac.at> The University of Innsbruck invites applications for the position of University Professor of Computer Science with Focus on Artificial Intelligence The position integrates into an attractive environment of existing activities in artificial intelligence such as machine learning for robotics and computer vision, natural language processing, recommender systems, schedulers, virtual and augmented reality, and digital forensics. The candidate should engage in research and teaching in the general area of artificial intelligence. Examples of possible foci include - machine learning for pattern recognition, prediction and decision making - data-driven, adaptive, learning and self-optimizing systems - explainable and transparent AI - representation learning; generative models - neuro-symbolic AI - causality - distributed/decentralized learning - environmentally-friendly, sustainable, data-efficient, privacy-preserving AI - neuromorphic computing and hardware aspects - knowledge representations, reasoning, ontologies Cooperations with research groups at the Department of Computer Science, the Research Areas and in particular the Digital Science Center of the University as well as with business, industry and international research institutions are expected. The candidate should reinforce or complement existing strengths of the Department of Computer Science. Applications must be received by 22.12.2023. The University of Innsbruck is committed to increasing the percentage of female employees especially in leading positions and therefore explicitly invites women to apply. In the case of equivalent qualifications, women will be given preference. See https://www.uibk.ac.at/fakultaeten-servicestelle/standorte/technikerstrasse/berufung/mip/mbl_englisch.pdf for full details, including how to apply. With informal inquiries contact Prof. Justus Piater . -- University of Innsbruck, Austria Head, Digital Science Center https://www.uibk.ac.at/disc/ Computer Science, Intelligent and Interactive Systems https://iis.uibk.ac.at/ From jenny.bizley at gmail.com Tue Nov 7 11:16:07 2023 From: jenny.bizley at gmail.com (Jenny) Date: Tue, 7 Nov 2023 16:16:07 +0000 Subject: Connectionists: How does the brain map sounds: fully funded PhD position and technician role at UCL Ear Insititute Message-ID: We are currently recruiting both a research technician and a fully funded PhD student (ideally to start in Jan '24) to work on a Wellcome funded project 'How does the brain map sounds into the world?'. This Wellcome funded project uses a range of systems neuroscience and computational approaches to understand how auditory space is constructed in freely moving animals that are pursuing audio and audiovisual targets. Please note the PhD student will be paid as a research assistant for four years, and have their fees funded at the UK rate. I would be grateful if you could pass on the adverts below to anyone who might be interested: RESEARCH TECHNICIAN (B02-05995) Link: https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=7290&nPostingTargetId=16606&id=Q1KFK026203F3VBQBLO8M8M07&LG=UK&languageSelect=UK&mask=ext PhD student / RESEARCH ASSISTANT (B02-05996) Link: https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=7291&nPostingTargetId=16609&id=Q1KFK026203F3VBQBLO8M8M07&LG=UK&languageSelect=UK&mask=ext Best wishes, Jenny -------------- next part -------------- An HTML attachment was scrubbed... URL: From wanling.cai at tcd.ie Tue Nov 7 12:34:37 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Tue, 7 Nov 2023 17:34:37 +0000 Subject: Connectionists: ACM UMAP 2024 - Preliminary Call for Full and Short Papers Message-ID: * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://www.um.org/umap2024/call-for-full-and-short-papers/ =============== ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 ACM UMAP is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB. User Modeling Inc., as the core Steering Committee, oversees the conference organization. The proceedings, published by ACM, will be part of the ACM Digital Library. The theme of UMAP 2024 is ?Collaboration and Cooperation for the Greater Good?. Specifically, we welcome submissions that highlight the impact that working together and synergy (such as between academia, industry, influential policy making bodies, committees and communities) can have on solving the world?s biggest problems; the focus is on investigations that capture how user modeling, personalization, and adaptation of (intelligent) systems may influence user behavior, trustful processes and whether new models are required, for building sustainable and inclusive services and solutions that can address critical challenges of our world. While we encourage submissions related to this theme, the scope of the conference is not limited to the theme only. As always, contributions from academia, industry, and other organizations discussing open challenges or novel research approaches are expected to be supported by rigorous evidence appropriate to claims (e.g., user study, system evaluation, computational analysis). Important Dates - Paper Abstract Submission: January 22, 2024 (mandatory) - Paper Submission: January 29, 2024 - Notification: March 28, 2024 - Camera-ready Submission: May 9, 2024 - Conference: July 1 ? 4, 2024 The submissions deadlines are at 11:59 pm AoE time (Anywhere on Earth). Conference Topics We welcome submissions related to user modeling, personalization, and adaptation of (intelligent) systems targeting a broad range of users and domains. Detailed descriptions and the suggested topics for each track will be available shortly in the extended version of the CFP on this page. ** Personalized Recommender Systems ** This track invites works from researchers and practitioners on recommender systems. In addition to mature research works addressing technical aspects of recommendations, we welcome research contributions that address questions related to user perception, decision-making, and the business value of recommender systems. ** Knowledge Graphs, Semantics, Social and Adaptive Web ** This track welcomes works focused on the use of knowledge representations (i.e., novel knowledge bases), graph algorithms (i.e., graph embedding techniques), and social network analysis at the service of addressing all aspects of personalization, user model building, and personal experience in online social systems. Moreover, this track invites works in adaptive hypermedia, as well as semantic and social web. ** Intelligent User Interfaces ** This track invites works exploring how to make the interaction between computers and people smarter and more productive, leveraging solutions from human-computer interaction, data mining, natural language processing, information visualization, and knowledge representation and reasoning. ** Personalizing Learning Experiences through User Modeling ** This track invites researchers, developers, and practitioners from various disciplines to submit their innovative learning solutions, share acquired experiences, and discuss their modeling challenges for personalized adaptive learning. ** Fairness, Transparency, Accountability, and Privacy ** Researchers, developers, and practitioners have a social responsibility to account for the impact that technologies have on individuals (users, providers, and other stakeholders) and society. This track invites works related to the science of building, maintaining, evaluating, and studying adaptive systems that are fair, transparent, respectful of users? privacy, beneficial to society, and accountable for their impacts. ** Personalization for Persuasive and Behavior Change Systems ** This track invites submissions focused on personalization and tailoring for persuasive technologies, including but not limited to personalization models, user models, computational personalization, design, and evaluation methods. It also welcomes work that brings attention to the user experience and designing personalized and adaptive behavior change technologies. ** Virtual Assistants, Conversational Interactions, and Personalized Human-Robot Interaction ** This track invites works investigating new models and techniques for adapting synthetic companions (e.g., virtual assistants, chatbots, social robots) to individual users. With the conversational modality so in vogue across disciplines, this track welcomes work highlighting the model and deployment of synthetic companions driven by conversational search and recommendation paradigms. ** Research Methods and Reproducibility** This track invites submissions on methodologies to evaluate personalized systems, benchmarks, and measurement scales, with particular attention to the reproducibility of results and techniques. Furthermore, the track looks for submissions that report new insights from reproducing existing works. ** Submission and Review Process** For UMAP 2024 we encourage two kinds of submissions (reviewers will comment on whether the size is appropriate for each contribution), in the ACM new single-column format: * Long papers should report on substantial contributions of lasting value. The maximum length is 14 pages (excluding references, which do not count towards the limit). Each accepted long paper will be included in the conference proceedings and presented in a plenary session as part of the main conference program. * Short papers typically discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance to this category despite not having gone through sufficient experimental validation or lacking strong theoretical foundation. The maximum length is 7 pages (excluding references, which do not count towards the limit). Each accepted short paper will be included in the conference proceedings and presented either as an oral presentation or at the poster session. UMAP uses a double-blind review process. Authors must omit their names and affiliations from their submissions; they should also avoid obvious identifying statements. For instance, citations to the authors? prior work should be in the third person. Submissions not abiding by anonymity requirements will be desk rejected. In addition, UMAP 2024 will introduce a new ?Raise Your Voice? stage during evaluation, offering a small window to authors to optionally discuss the initial decision of their submission, enhancing the transparency and quality of the reviewing process. Additional review criteria and submission link will be available shortly on the conference website: https://www.um.org/umap2024. UMAP has a no dual submission policy, which is why full and short paper submissions should not be currently under review at another publication venue. Further, UMAP operates under the ACM Conference Code of Conduct. Program Chairs * Panagiotis Germanakos, SAP SE, Germany * Elvira Popescu, University of Craiova, Romania Contact information: umap2024-program at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From rune2earth at gmail.com Tue Nov 7 15:28:03 2023 From: rune2earth at gmail.com (Rune Berg) Date: Tue, 7 Nov 2023 21:28:03 +0100 Subject: Connectionists: Post doc position in motor control Message-ID: <9D1431AD-77EA-4B38-9932-05F5764C552A@gmail.com> Postdoc in neuroscience of motor control Faculty of Health and Medical Sciences, University of Copenhagen The lab of Rune W. Berg is looking for a highly motivated and dynamic researcher for a 3-year position to start January 1st, 2024. The topic is the neuroscience of motor control with a focus on locomotion and spinal circuitry and connections with the brain. The person will be performing the following: 1) experimental recording of neurons in the brain and spinal cord of awake behaving rats using Neuropixels and Neuronexus electrodes combined with optogenetics. 2) Analyze the large amount of data generated from these experiments, including tissue processing. 3) Participate in the development of the new theory of motor control. Among relevant recent publications from the lab are: https://www.nature.com/articles/s41586-022-05293-w https://www.nature.com/articles/s41598-022-12535-4 https://www.nature.com/articles/s41467-019-10822-9 https://www.sciencedirect.com/science/article/pii/S2468867319300069?via%3Dihub Information on the lab and department can be found at: LEARN MORE: https://jobportal.ku.dk/alle-opslag/?show=160207 We strive towards composing a lab with a creative and diverse environment with members of different background and expertise. The purpose is to cultivate ideas and new ways of thinking, since this often foster breakthrough. Profile Essential experience and skills: You have a PhD degree. You are highly experienced in in-vivo awake behaving animal physiology. You have extensive coding skills in either python/matlab or similar languages. Proficient communication skills and ability to work in teams. Excellent English skills written and spoken. Desirable experience and skills: Experience in making figures in Adobe creative suite or similar software. Experience/knowledge in viral and genetic techniques. Experience in immunohistochemistry, In situ hybridization, RNAscope and similar techniques. Place of employment The place of employment is at Department of Neuroscience, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. Our research facilities include modern laboratories and animal surgeries. Terms of employment The employment as postdoc is a full time and fixed-term position for 3 years. Starting date is January 1st, 2024. Salary, pension and other conditions of employment are set in accordance with the Agreement between the Ministry of Taxation and AC (Danish Confederation of Professional Associations) or other relevant organisation. Currently, the monthly salary starts at 36,000 DKK/approx. 4,800 EUR (April 2023 level). Depending on qualifications, a supplement may be negotiated. The employer will pay an additional 17.1 % to your pension fund. Foreign and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years. The position is covered by the Job Structure for Academic Staff at Universities 2020. LEARN MORE: https://jobportal.ku.dk/alle-opslag/?show=160207 APPLY BEFORE 20 NOVEMBER Questions For further information please contact Rune W. Berg: runeb at sund.ku.dk Best, Rune ---------------------------- Rune W. Berg, PhD, Associate Professor University of Copenhagen Department of Neuroscience, DENMARK Tel: (+45) 26 97 73 94 Email: pgj142 at ku.dk Twitter: RuneWBerg www.berg-lab.net https://in.ku.dk/research/berg-lab/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From phitzler at googlemail.com Tue Nov 7 21:24:58 2023 From: phitzler at googlemail.com (Pascal Hitzler) Date: Tue, 7 Nov 2023 20:24:58 -0600 Subject: Connectionists: Prof (all ranks) AI for biomanufacturing process engineering Message-ID: <91926a3a-0e52-45a9-918f-feee25457ba0@googlemail.com> Kansas State University is hiring 12 new tenure/tenure-track faculty positions in biomanufacturing and related bioscience and enabling technologies. Faculty of all ranks are eligible for hiring in related research areas including artificial intelligence and machine learning for biomanufacturing process engineering. Faculty hired will be able to specify their home department. Anybody interested in joining the Computer Science department please feel free to contact me. Job posting: https://careers.k-state.edu/cw/en-us/job/516268/assistantassociatefull-professor-positions-biomanufacturing Best Regards, Pascal. -- Pascal Hitzler Lloyd T. Smith Creativity in Engineering Chair Director, Center for AI and Data Science Kansas State University http://www.pascal-hitzler.de http://www.daselab.org http://www.semantic-web-journal.net From loizos at ouc.ac.cy Wed Nov 8 01:01:04 2023 From: loizos at ouc.ac.cy (Loizos Michael) Date: Wed, 8 Nov 2023 06:01:04 +0000 Subject: Connectionists: Call for Papers: Special Issue of AI Communications on "Human-Aware AI" In-Reply-To: References: Message-ID: Dear colleagues, We are inviting contributions to the Special Issue of AI Communications on "Human-Aware AI". Contributions are sought that report on mature and highly interdisciplinary research with a focus on the human involvement in the development of meaningful paradigms of AI-enabled human-human interactions, human-AI interactions, and human-centered AI-AI interactions. An indicative list of disciplines and sub-disciplines that we expect to be relevant are: Autonomous Agents and Multi-Agent Systems, Ethics, Human-Computer Interaction, Knowledge Representation and Reasoning, Machine Learning, Ontologies, Privacy, Social Computing, Social Psychology, Social Sciences. Any contribution relating to the general theme is welcome. The following is a non-exhaustive list of suggested topics: ??????Models of human diversity and human awareness ??????Models of AI diversity and human-aware AI ??????Perception of diversity versus models of diversity ??????Models of diverse human-AI societies and interactions ??????Experimental studies on human and social diversity ??????Experimental studies on hybrid human-AI diversity ??????Representation and visualization of diversity ??????Incentive models for Human-AI collaboration ??????Human-aware machine learning technologies ??????Interpretability and explainability of human-aware machine learning ??????Diversification and unbiasing of machine learning ??????Metrics for diversity-aware machine learning ??????Diversity-aware and diversity-preserving inference and reasoning ??????Ethical and privacy considerations on diversity ??????Ethical and legal considerations on diversity-misuse scenarios ??????Data economics, business models, and/or non-profit use ??????Insights from Critical Diversity Studies ??????Diversity-sensitive communication ??????Content moderation for diversity-aware social interaction More information about the Special Issue can be found here: https://www.iospress.com/sites/default/files/media/files/2023-09/AIC_Human-Aware_AI_CfP.pdf The submission deadline is November 30, 2023. However, we would appreciate it if you could register your interest to submit a paper by completing the following form at your earliest convenience: https://forms.gle/vsVjJrCwXE8Nh9YU6 We look forward to your contributions! Regards, Loizos -------------- next part -------------- An HTML attachment was scrubbed... URL: From kai.sauerwald at fernuni-hagen.de Wed Nov 8 03:49:17 2023 From: kai.sauerwald at fernuni-hagen.de (Kai Sauerwald) Date: Wed, 8 Nov 2023 09:49:17 +0100 Subject: Connectionists: Call for Papers: Special Track on Uncertain Reasoning (UR) @ FLAIRS-37 Message-ID: <4499a9b5-11c0-4501-8323-67dff1b43c90@fernuni-hagen.de> Uncertain Reasoning (UR) Special Track at The 37th International FLAIRS Conference (FLAIRS-37) In cooperation with the American Association for Artificial Intelligence Miramar Beach, Florida, USA May 18-21, 2024 Website: http://ur-flairs.github.io/2024/ Abstract submission deadline: February 4, 2024 Paper submission deadline: February 11, 2024 Notification: March 17, 2024 All accepted papers will be included in the FLAIRS proceedings published by Florida Online Journals Invited papers will be published in a special journal issue ========================================================================= [[ Call For Papers ]] The Special Track on Uncertain Reasoning (UR) is the oldest track in FLAIRS conferences, running annually since 1996. The UR Special Track at the 37th International Florida Artificial Intelligence Research Society Conference (FLAIRS-37) is the 27th in the series. Like the past tracks, UR seeks to bring together researchers working on broad issues related to reasoning under uncertainty. [ Topics of Interest ] Papers on all aspects of uncertain reasoning are invited. Papers of particular interest include, but are not limited to: * Uncertain reasoning formalisms, calculi and methodologies * Reasoning with probability, possibility, fuzzy logic, belief function, vagueness, granularity, rough sets, and probability logics * Modeling and reasoning using imprecise and indeterminate information, such as: Choquet capacities, comparative orderings, convex sets of measures, and interval-valued probabilities * Exact, approximate and qualitative uncertain reasoning * Probabilistic graphical models of uncertainty such as: Bayesian networks, Markov random field, probabilistic circuits * Multi-agent uncertain reasoning and decision-making * Decision-theoretic planning and Markov decision process * Temporal reasoning and uncertainty * Non-monotonic reasoning * Conditional Logics * Argumentation * Belief change and merging * Similarity-based reasoning * Ontologies and description logics * Construction of models from elicitation, data mining and knowledge discovery * Uncertain reasoning in information retrieval, filtering, fusion, diagnosis, prediction, situation assessment * Uncertain reasoning in data management * Practical applications of uncertain reasoning * Learning probabilistic models * Applications in computer vision and animation [ Paper Submission and Publication ] Submitted papers must be original, and not submitted concurrently to a journal or another conference while under review. Interested authors should format their papers according to FLAIRS-37 conference formatting guidelines. Papers should not exceed 6 pages (4 pages for a poster) and are due by February 11, 2024. The reviewing is a double blind process. Author names and affiliations must be omitted on submitted papers. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-37.info/). Authors should indicate the Uncertain Reasoning special track for submissions. All accepted papers will be included in the proceedings of FLAIRS, which will be published by the Florida Online Journals. FLAIRS requires that there be at least one full author registration per paper. Instructions on the submission procedure are available at the UR website: http://ur-flairs.github.io/2024 We anticipate there will be a special issue devoted to extended versions of selected papers at the track. [ Important Dates ] Abstract submission due: Feb. 4, 2024 Paper submission due: Feb. 11, 2024 Author Notification: Mar. 17, 2024 Special Track: May 18-21, 2024 [ Program Committee ] Alessandro Antonucci (IDSIA, Switzerland) Ofer Arieli (The Academic College of Tel-Aviv, Israel) Christoph Beierle (FernUniversit?t in Hagen, Germany) Salem Benferhat (University of Artois, France) Nizar Bouguila (Concordia University, Canada) Llu?s Godo (University of Barcelona, Spain) Christophe Gonzales (LIS, France) Vladik Kreinovich (University of Texas at El Paso, US) Nicholas Mattei (Tulane University, US) Tommie Meyer (University of Cape Town, South Africa) Arthur Paul Pedersen (The City College of New York, US) Rafael Pe?aloza Nyssen (University of Milano-Bicocca, Italy) Kari Sentz (Los Alamos National Laboratory, US) Carlo Taticchi (Universit? degli Studi di Perugia, Italy) Choh Man Teng (Institute for Human and Machine Cognition, US) [ Track Chairs ] Tanya Braun University of M?nster, Germany Kai Sauerwald University of Hagen, Germany [ Travel Information ] Additional information on the conference locale and travel planning can be found at http://www.flairs-37.info. From jiri.hammer at lfmotol.cuni.cz Wed Nov 8 10:33:19 2023 From: jiri.hammer at lfmotol.cuni.cz (jiri.hammer at lfmotol.cuni.cz) Date: Wed, 8 Nov 2023 16:33:19 +0100 Subject: Connectionists: Post doc position in intracranial EEG analysis - Prague, Czech Republic Message-ID: <2247b771b09098b762d290f718a961c7.squirrel@webmail.lf2.cuni.cz> Title: Postdoc - neural dynamics during sensorimotor and cognitive tasks from the perspective of intracranial EEG Body: There is a postdoc opening at the 2nd Faculty of Medicine, Charles University in Prague, Czech Republic, in collaboration with the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. Start: January 1st, 2024 or later Funding: available for up to 5 years, salary around 54.000 CZK (ca 2.200 EUR) of net income. The postdoc will be supervised by Dr. Jiri Hammer (https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=jiri+hammer&btnG=) whose expertise is in cognitive neuroscience and specifically in the intracranial EEG recordings. Intracranial EEG (iEEG) is a unique tool for cognitive research as it allows monitoring of brain activity at high temporal (millisecond), spectral (up to 200 Hz) and spatial (millimeter) resolution. iEEG is recorded in patients with pharmacoresistant epilepsy. During their video-iEEG monitoring period (1-2 weeks), various cognitive experiments can be performed in agreement with the patient. Unlike other imaging methods, iEEG is much less sensitive to movement artifacts and can thus be employed in paradigms with more ecological settings. One project ?the interplay of movement and touch? will involve analysis of iEEG dynamics during reaching to tactile stimuli on the body. Here, the iEEE recordings will be complemented by motion capture and eventually by embodied computational modeling using baby humanoid robots - through collaboration with the humanoid, cognitive, and neurorobotics group (https://cyber.felk.cvut.cz/research/groups-teams/humanoids/) coordinated by Prof. Matej Hoffmann (https://sites.google.com/site/matejhof/). Another project could be called ?from simple to natural and ecologically valid stimuli?. A classic way to investigate brain function is to present a stimulus (e.g. visual, auditory) and observe the response. However, most stimuli are static images or isolated sounds, strongly contrasting with our everyday experience. In this task, we plan to delineate the brain responses measured by iEEG among stimuli gradually ranging from the simplest (screen flashes and beeps) to very complex (watching movies or listening to music). We are also open to new ideas of the applicant. Research infrastructure The group of Dr. Hammer at the 2nd Faculty of Medicine and Motol University Hospital in Prague, Czech Republic, has a long-term experience in recording the intracranial EEG (iEEG) data in epilepsy-surgery patients during their video-iEEG monitoring. The experimental setup and the cooperation with the staff of the Motol University Hospital is well established. The humanoids group has at its disposal several humanoid robots, including the baby humanoid iCub with 4000 pressure-sensitive receptors on its body surfaces. Additional infrastructure includes a 3D Motion Capture System. The group has access to a high-performance computational cluster. International collaborations Dr. Hammer has a long-term collaboration with: Prof. Tonio Ball, from the Neuromedical AI Lab, Medical Center ? University of Freiburg, Germany. Prof. Julien Bastin from the Grenoble Institute of Neurosciences in France. Prof. Hoffmann has long-standing collaborations with experts in developmental psychology: Dr. Kevin O?Regan (CNRS, Paris), Prof. Jeffrey J. Lockman (Tulane University, New Orleans) cognitive psychology and neuroscience: Prof. Tobias Heed (Uni. Salzburg), Dr. Jean-Paul Noel (Center for Neural Science at New York University), Prof. Matthew Longo (Birkbeck University, London) We seek applicants with a background in cognitive neuroscience or psychology. Prior experience with brain imaging methods (e.g., EEG, fMRI) is a plus. Skills or interest in computational modeling is also an advantage. How to apply. The application should include: - Motivation letter (max. 1 page) - CV (including 2 reference persons) - 1 Letter of recommendation (can be from 1 of the reference persons above) Please send the application or inquiries to jiri.hammer at lfmotol.cuni.cz with (?postdoc application? in the subject). The position is open until filled. Best, Jiri From danko.nikolic at gmail.com Wed Nov 8 07:24:53 2023 From: danko.nikolic at gmail.com (Danko Nikolic) Date: Wed, 8 Nov 2023 13:24:53 +0100 Subject: Connectionists: Next Generation AI based on progress in neuroscience Message-ID: I am happy to announce that this evening 6 pm CET I will give an online talk about next-generation technology for AI. Interestingly for neuroscientists, this technology is based on the putative role of metabotropic receptors and g protein-gated ion channels in our cognition -- which I have recently proposed. For those who are interested, please follow this link: https://techtrust.ai/neuroscience-ai-pioneer-spotlight/ See you there. Danko Dr. Danko Nikoli? www.danko-nikolic.com https://www.linkedin.com/in/danko-nikolic/ -- I wonder, how is the brain able to generate insight? -- -------------- next part -------------- An HTML attachment was scrubbed... URL: From chaoqun.ni at wisc.edu Wed Nov 8 15:05:47 2023 From: chaoqun.ni at wisc.edu (Chaoqun Ni) Date: Wed, 8 Nov 2023 20:05:47 +0000 Subject: Connectionists: Open position: UW-Madison Professor of Information Science Message-ID: Apologies for cross-posting! The University of Wisconsin-Madison's Information School seeks highly qualified candidates for up to two tenured positions in information sciences. These faculty positions will be academic nine-month, tenure-track appointments at the Associate Professor level, to start August 2024. Applications at the Professor level may be considered in exceptional cases. To ensure consideration, application must be received by: December 15, 2023 Applications are specifically encouraged in, but not limited to, the following areas: * Natural language processing and information retrieval, e.g., applied natural language processing, text analysis, text and multimedia retrieval, recommendation systems, conversational systems. * Computational social sciences, e.g., analytics and modeling of political behavior; computational analysis of social networks; algorithms and social media analytics; social simulation of organizational behavior. * Policy analysis or policy-making studies of information or data security/risk/assurance, privacy, data governance, or data management. * ML/AI, computation, and the future of work * Computational and information technologies in relation to children and/or elderly populations. See more details: https://jobs.wisc.edu/jobs/professor-of-informational-sciences-madison-wisconsin-united-states [https://d25wby5c7p9100.cloudfront.net/public/uploads/7cdbfd85fa07c4100b99878288a6abe6/images/files/b7e174e91de948ab566b8453f5261244/large/aerial_UW_16mm11_6543.png?1676483283] Professor of Informational Sciences - Madison, Wisconsin, United States Job Summary: The University of Wisconsin-Madison's Information School seeks highly qualified candidates for up to two tenured positions in information sciences. These faculty positions will be academic nine-month, tenure-track appointments at the Associate Professor level, to start August 2024. Applications at the Professor level may be considered in exceptional cases. Applications are specifically encouraged in, but not limited to, the following areas: Natural language processing and information retrieval, e.g.: applied natural language processing; text analysis; text and multimedia retrieval; recommendation systems; conversational systems; Computational social sciences, e.g.: analytics and modeling of political behavior; computational analysis of social networks; algorithms and... jobs.wisc.edu ? Chaoqun Ni, Ph.D. Assistant Professor Information School (iSchool) School of Computer, Data, and Information Sciences (CDIS) University of Wisconsin-Madison Metascience Research Lab Google Scholar Profile To schedule a meeting with me -------------- next part -------------- An HTML attachment was scrubbed... URL: From adorney at andrew.cmu.edu Wed Nov 8 14:14:26 2023 From: adorney at andrew.cmu.edu (Aimee Dorney) Date: Wed, 8 Nov 2023 14:14:26 -0500 Subject: Connectionists: Registration open for SAND, Dec 4-5 Message-ID: The 10th Statistical Analysis of Neuronal Data (SAND10) workshop will be held Dec 4-5, 2023 in Pittsburgh, PA. You can register to attend here: SandRegistration The goal of SAND is to discuss statistical challenges that arise with state-of-the-art neuronal recording technologies. We seek to foster discussion across computational and experimental neuroscience, in particular about experiments and data which are pushing the boundaries of what is currently possible (e.g., in terms of the number of neurons recorded, spatial & temporal resolution of the recordings, stimulation paradigms, behavioral paradigms, etc). *The workshop will be in-person only. * The talk schedule can be found HERE. *Keynote speakers:* Aryn Gittis (CMU) Michele Insanally (Pitt) Nuo Li (Baylor) Xaq Pitkow (CMU) Nick Steinmetz (UW) Carsen Stringer (Janelia) Eric Yttri (CMU) This workshop has been made possible by the generous support of the Simons Foundation, CMU Neuroscience Institute, and CMU Biomedical Engineering Department. Aimee Dorney (she/her/hers) Senior Administrative Assistant *Neuroscience Institute | Carnegie Mellon University* 412.268.6557 <412.268.6557> | www.cmu.edu/ni/ adorney at andrew.cmu.edu 4400 Fifth Avenue, Pittsburgh, PA 15213 -------------- next part -------------- An HTML attachment was scrubbed... URL: From T.T.Nguyen at ljmu.ac.uk Wed Nov 8 18:32:22 2023 From: T.T.Nguyen at ljmu.ac.uk (Nguyen, Trung Thanh) Date: Wed, 8 Nov 2023 23:32:22 +0000 Subject: Connectionists: (Deadline 17th Nov) Three fully funded PhD scholarships (UK/international) in applied AI/machine learning/computational intelligence, operational research, IoT, or analytical chemistry for Net Zero transportation and freeports. Message-ID: Dear colleagues, My apologies for cross-posting. Could you please kindly forward to interested candidates? Please note the very short deadline of 17th November and the enrolment date of 8th February 2024 for the first cohort. 1. Summary: LJMU's Freeport and Net Zero Transport Thematic Doctoral Pathways (FTDP) programme is offering six full PhD scholarships (UK/international) to develop two PhD cohorts (first-of-their-kind) who will apply their skills in AI, operational research, engineering, and science to tackle transport/logistics decarbonisation, with a focus on UK freeports. This call is for the first cohort (3 PhD scholarships) and is open to both UK and international candidates (to start . * Deadline 17th November 2023 (see detailed timeline below) * Successful candidates to move to Liverpool and enrol by 8th February 2024 * Full tuition fees, * Maintenance stipend + running cover (~ ?20,222 per annum) for three years, rising in line with URKI rates, * 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 here: https://www.ljmu.ac.uk/projects/freeport-and-net-zero-transport/scholarship-funding . Please also look at this link for some examples of our current/past projects on air quality and green transportation https://tinyurl.com/y67eddrw . If you believe you are suitable, please email Prof. Trung Thanh Nguyen T.T.Nguyen at ljmu.ac.uk with title "FTDP PhD scholarship" and include the following information: * Which of the three projects stated in the link you would like to apply for. * CV * Covering letter detailing your suitability * Contact details of two referees The three topics for the first cohort are listed here for your convenience, but please visit the link above for details before applying. There are also three other topics for cohort 2 in the link. * Optimising the planning and operations of alternative fuel vehicles * Machine learning or material analyses using intelligent sensors for Net Zero * Digitalisation and cyber security for freeports 1. Timeline * 17 November 2023: Application deadline * 27 November to 1 December 2023: Interviews (in person or remote) * 4 to 8 December 2023: Successful candidates notified * 8 February 2024: Relocate to Liverpool and enrol. 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 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 michal.ptaszynski at gmail.com Thu Nov 9 02:05:12 2023 From: michal.ptaszynski at gmail.com (Ptaszynski Michal) Date: Thu, 9 Nov 2023 16:05:12 +0900 Subject: Connectionists: [CfP] Third Call for Papers: Applied Sciences (IF: 2.7) Special Issue on "Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions" Message-ID: <15921B5D-8438-48C5-BCE9-2C9BD9DC6A7F@gmail.com> Dear Colleagues Apologies for cross-posting. This is Michal Ptaszynski from Kitami Institute of Technology, Japan. We are accepting papers for the Applied Sciences journal (Impact Factor: 2.7) special issue on "Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions". The new deadline for manuscript submission is March 31, 2024, but your paper will be sent for review as soon as it is submitted and will be published shortly after being accepted. We hope you will consider submitting your paper. https://www.mdpi.com/journal/applsci/special_issues/NTMDOE41MY Best regards, Michal PTASZYNSKI, Ph.D., Associate Professor Department of Computer Science Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan TEL/FAX: +81-157-26-9327 michal at mail.kitami-it.ac.jp ============================================ Applied Sciences (Impact Factor: 2.7) Special Issue on "Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions" Special Issue Information During recent years, social infrastructure has become irreversibly linked to the Internet through its everyday manifestations, such as social networking services (Twitter, Facebook, etc.). Every second this new tangible information-based reality provides large amounts of data filled with 1) emotional expressions; 2) people's opinions on various topics; and 3) their reasoning, revealing their decision-making processes. As these three categories are also closely interrelated with each other, they should be studied together to obtain a more robust view on all of the topics involved. This, as never before, provides an opportunity for the development and application of natural language processing methods, in particular those regarding such topics as emotion processing, decision-making, and opinion mining. For this issue, we invite high-quality papers from researchers with an interest in knowing more about those topics and their connection to the world we live in through opinion and sentiment analysis, recommendation systems, web mining, automated decision-making, etc. We also invite papers on the topic of using Natural Language Processing tools and methods to process emotions, metaphors, ethics, or other phenomena related to human activities. List of Topics The Special Issue will invite papers on topics listed, but not limited to the following: - opinion mining - decision support systems - emotion detection - sentiment analysis - natural language processing - computational linguistics - NLP applications - natural language generation - emotional language processing - humor and joke processing - deceptive language detection - emoticon processing - automatic cyberbullying detection - fake news detection - abusive language processing - story generation - poetry generation - cognitive agents Guest Editors Dr. Pawel Dybala Dr. Rafal Rzepka Dr. Michal Ptaszynski Michal Ptaszynski michal.ptaszynski at gmail.com From dwang at cse.ohio-state.edu Wed Nov 8 20:58:07 2023 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Thu, 9 Nov 2023 01:58:07 +0000 Subject: Connectionists: NEURAL NETWORKS, November 2023 Message-ID: Neural Networks - Volume 168, November 2023 https://www.journals.elsevier.com/neural-networks Competitive learning to generate sparse representations for associative memory Luis Sacouto, Andreas Wichert Improved prediction of behavioral and neural similarity spaces using pruned DNNs Priya Tarigopula, Scott Laurence Fairhall, Anna Bavaresco, Nhut Truong, Uri Hasson Bifurcations of a delayed fractional-order BAM neural network via new parameter perturbations Chengdai Huang, Huanan Wang, Heng Liu, Jinde Cao Reward prediction-errors weighted by cue salience produces addictive behaviours in simulations, with asymmetrical learning and steeper delay discounting Shivam Kalhan, Marta I. Garrido, Robert Hester, A. David Redish An Adversarial Time?Frequency Reconstruction Network for Unsupervised Anomaly Detection Jin Fan, Zehao Wang, Huifeng Wu, Danfeng Sun, ... Xin Lu CEGAT: A CNN and enhanced-GAT based on key sample selection strategy for hyperspectral image classification Cuiping Shi, Haiyang Wu, Liguo Wang Symmetric LINEX loss twin support vector machine for robust classification and its fast iterative algorithm Qi Si, Zhixia Yang, Junyou Ye Joint learning of feature and topology for multi-view graph convolutional network Yuhong Chen, Zhihao Wu, Zhaoliang Chen, Mianxiong Dong, Shiping Wang RepCo: Replenish sample views with better consistency for contrastive learning Xinyu Lei, Longjun Liu, Yi Zhang, Puhang Jia, ... Nanning Zheng Dynamic sparse coding-based value estimation network for deep reinforcement learning Haoli Zhao, Zhenni Li, Wensheng Su, Shengli Xie Reliable prediction intervals with directly optimized inductive conformal regression for deep learning Haocheng Lei, Anthony Bellotti A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition Qiong Chen, Tianlin Huang, Geren Zhu, Enlu Lin UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network Kuai Dai, Xutao Li, Chuyao Luo, Wuqiao Chen, ... Shanshan Feng A multi-scale self-supervised hypergraph contrastive learning framework for video question answering Zheng Wang, Bin Wu, Kaoru Ota, Mianxiong Dong, He Li Synergetic learning for unknown nonlinear H_{infinity} control using neural networks Liao Zhu, Ping Guo, Qinglai Wei Single image denoising with a feature-enhanced network Ruibin Zhuge, Jinghua Wang, Zenglin Xu, Yong Xu How to backdoor split learning Fangchao Yu, Lina Wang, Bo Zeng, Kai Zhao, ... Tian Wu Generalized heterophily graph data augmentation for node classification Bisheng Tang, Xiaojun Chen, Shaopu Wang, Yuexin Xuan, Zhendong Zhao Multidomain active defense: Detecting multidomain backdoor poisoned samples via ALL-to-ALL decoupling training without clean datasets Binhao Ma, Jiahui Wang, Dejun Wang, Bo Meng STMMOT: Advancing multi-object tracking through spatiotemporal memory networks and multi-scale attention pyramids Hamza Mukhtar, Muhammad Usman Ghani Khan Mean-field neural networks: Learning mappings on Wasserstein space Huy?n Pham, Xavier Warin Quantized minimum error entropy with fiducial points for robust regression Yunfei Zheng, Shiyuan Wang, Badong Chen Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems Dawen Wu, Abdel Lisser A self-training algorithm based on the two-stage data editing method with mass-based dissimilarity Jikui Wang, Yiwen Wu, Shaobo Li, Feiping Nie Unsupervised anomaly detection by densely contrastive learning for time series data Wei Zhu, Weijian Li, E. Ray Dorsey, Jiebo Luo Exploring the role of edge distribution in graph convolutional networks Liancheng He, Liang Bai, Xian Yang, Zhuomin Liang, Jiye Liang Understanding neural network through neuron level visualization Hui Dou, Furao Shen, Jian Zhao, Xinyu Mu A multidimensional feature fusion network based on MGSE and TAAC for video-based human action recognition Shuang Zhou, Hongji Xu, Zhiquan Bai, Zhengfeng Du, ... Jie Xu CompNet: Complementary network for single-channel speech enhancement Cunhang Fan, Hongmei Zhang, Andong Li, Wang Xiang, ... Xiaopei Wu Trust-aware conditional adversarial domain adaptation with feature norm alignment Jun Dan, Tao Jin, Hao Chi, Shunjie Dong, ... Xinjing Yang Tell me your position: Distantly supervised biomedical entity relation extraction using entity position marker Jiran Zhu, Jikun Dong, Hongyun Du, Yanfang Geng, ... Weizhi Xu Graph structure reforming framework enhanced by commute time distance for graph classification Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, ... Wenbin Hu STTRE: A Spatio-Temporal Transformer with Relative Embeddings for multivariate time series forecasting Azad Deihim, Eduardo Alonso, Dimitra Apostolopoulou Deep graph reconstruction for multi-view clustering Mingyu Zhao, Weidong Yang, Feiping Nie Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda Zero time waste in pre-trained early exit neural networks Bartosz W?jcik, Marcin Przewi??likowski, Filip Szatkowski, Maciej Wo?czyk, ... Tomasz Trzci?ski Unsupervised Domain Adaptation with Asymmetrical Margin Disparity loss and Outlier Sample Extraction Chunmei He, Xianjun Fan, Kang Zhou, Zhengchun Ye LaenNet: Learning robust GCNs by propagating labels Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, ... Bo Yang Learning smooth dendrite morphological neurons by stochastic gradient descent for pattern classification Wilfrido G?mez-Flores, Humberto Sossa Adaptive control-based synchronization of discrete-time fractional-order fuzzy neural networks with time-varying delays Hong-Li Li, Jinde Cao, Cheng Hu, Long Zhang, Haijun Jiang An exact mapping from ReLU networks to spiking neural networks Ana Stanojevic, Stanis?aw Wo?niak, Guillaume Bellec, Giovanni Cherubini, ... Wulfram Gerstner Adaptive neural network control for Markov jumping systems against deception attacks Junhui Wu, Gang Qin, Jun Cheng, Jinde Cao, ... Iyad Katib Exploring the role of texture features in deep convolutional neural networks: Insights from Portilla-Simoncelli statistics Yusuke Hamano, Shoko Nagasaka, Hayaru Shouno Lower and upper bounds for numbers of linear regions of graph convolutional networks Hao Chen, Yu Guang Wang, Huan Xiong A biologically inspired architecture with switching units can learn to generalize across backgrounds Doris Voina, Eric Shea-Brown, Stefan Mihalas FOESO-Net: A specific neural network for fast sensorless robot manipulator torque estimation Shike Long, Xuanju Dang, Jia Huang Self-supervised depth super-resolution with contrastive multiview pre-training Xin Qiao, Chenyang Ge, Chaoqiang Zhao, Fabio Tosi, ... Stefano Mattoccia Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search Longxing Yang, Yanxin Fu, Shun Lu, Zihao Sun, ... Yu Hu EQNAS: Evolutionary Quantum Neural Architecture Search for Image Classification Yangyang Li, Ruijiao Liu, Xiaobin Hao, Ronghua Shang, ... Licheng Jiao -------------- next part -------------- An HTML attachment was scrubbed... URL: From evomusart at gmail.com Thu Nov 9 05:35:41 2023 From: evomusart at gmail.com (EvoMUSART) Date: Thu, 9 Nov 2023 10:35:41 +0000 Subject: Connectionists: EvoMUSART 2024: Call for Papers Deadline Extended Message-ID: ------------------------------------------------ Call for papers for the 13th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) ? Please distribute ? Apologies for cross-posting ------------------------------------------------ The 13th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will take place on 3-5 April 2024, as part of the evo* event. EvoMUSART webpage: www.evostar.org/2024/evomusart/ Extended *Submission deadline:* 15 November 2023 *Conference: *3-5 April 2024 EvoMUSART is a multidisciplinary conference that brings together researchers who are working on the application of Artificial Neural Networks, Evolutionary Computation, Swarm Intelligence, Cellular Automata, Alife, and other Artificial Intelligence techniques in creative and artistic fields such as Visual Art, Music, Architecture, Video, Digital Games, Poetry, or Design. This conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area. Submissions must be at most 14 pages long, excluding references, in Springer LNCS format. Each submission must be anonymized for a double-blind review process. Accepted papers will be presented orally or as posters at the event and included in the EvoMUSART proceedings published by Springer Nature in a dedicated volume of the Lecture Notes in Computer Science series. Indicative topics include but are not limited to: * Systems that create drawings, images, animations, sculptures, poetry, text, designs, webpages, buildings, etc.; * Systems that create musical pieces, sounds, instruments, voices, sound effects, sound analysis, etc.; * Systems that create artefacts such as game content, architecture, furniture, based on aesthetic and/or functional criteria; * Systems that resort to artificial intelligence to perform the analysis of image, music, sound, sculpture, or some other types of artistic objects; * Systems in which artificial intelligence is used to promote the creativity of a human user; * Theories or models of computational aesthetics; * Contextualisation of creative AI in cultural, economic, social, political or ecological discourse; * Computational models of emotional response, surprise, novelty; * Representation techniques for images, videos, music, etc.; * Surveys of the current state-of-the-art in the area; * New ways of integrating the user in the process (e.g. improvisation, co-creation, participation). More information on the submission process and the topics of EvoMUSART: www.evostar.org/2024/evomusart/ *Flyer of EvoMUSART 2024: * http://www.evostar.org/2024/flyers/evomusart *Submission Link:* https://easychair.org/conferences/?conf=evostar2024 We look forward to seeing you in EvoMUSART 2024! The EvoMUSART 2024 organisers Colin Johnson S?rgio M. Rebelo Iria Santos (publication chair) -------------- next part -------------- An HTML attachment was scrubbed... URL: From hendrikje.nienborg at nih.gov Thu Nov 9 13:55:31 2023 From: hendrikje.nienborg at nih.gov (Nienborg, Hendrikje (NIH/NEI) [E]) Date: Thu, 9 Nov 2023 18:55:31 +0000 Subject: Connectionists: Postdoc Position in Systems Neuroscience (Nienborg Lab at the National Eye Institute/NIH) Message-ID: The Nienborg lab at the National Eye Institute (NEI) at NIH, Bethesda, MD, has an opening for a post-doctoral position funded for five years, to work at the intersection of visual neurophysiology, machine learning, and systems neuroscience. The research in our laboratory aims to uncover how processing in the brain enables flexible use of visual information to guide naturalistic behavior. Current projects in the lab examine the dependence of visual processing on spontaneous movements and behavioral state, neural processing for peripheral vision, adult neural plasticity in the visual system, and neural circuits of decision-making. These topics are addressed in several mammalian species. The lab has active collaborations with machine learning researchers, computational, systems and cellular neuroscientists both at NIH and other leading institutions (e.g. UC Berkeley, University of Maryland). The lab has expertise in behavioral, computational, pharmacological, optogenetic, functional imaging (functional ultrasound), motion capture, and large-scale electrophysiological approaches. The Nienborg lab is part of the Laboratory of Sensorimotor Research (LSR), with access to the exceptional resources at NIH for cutting-edge research, and the LSR has a track record of outstanding scientific accomplishments that leverage these resources. Qualifications: Candidates with a research background in cognitive, systems, or computational neuroscience, expertise in electrophysiology in behaving animals, and/or highly quantitative data analytic skills are particularly encouraged to apply. Strong programming skills (Matlab or Python) and a commitment to scientific excellence are essential. How to apply: To apply, please submit your application materials to Dr. Hendrikje Nienborg at (hendrikje.nienborg at nih.gov), including a CV with a publication list, a statement of research interests (max. one page), and contact details of two referees. I will be attending the SFN 2023 meeting in Washington DC and am happy to meet with interested candidates. Applications will be accepted on a rolling basis until the position is filled. Initial appointments will be for 1 year, with possible extension up to 5 years. The NEI offers a competitive salary and comprehensive health insurance. U.S. citizens, U.S. permanent residents, and non-U.S. citizens are eligible to apply. The NIH Bethesda campus is a short metro ride away from downtown Washington, DC. The NIH is dedicated to building a diverse community in its training and employment programs. DHHS, NIH, and NEI are Equal Opportunity Employers. Recent relevant publications: 1) Talluri*, Kang*, Lazere, Quinn, Kaliss, Yates, Butts, Nienborg: Activity in primate visual cortex is minimally driven by spontaneous movements. Nat Neurosci (2023) 26:1953?1959 *equal contribution 2) Quinn, Seillier, Butts, Nienborg, Decision-related feedback in visual cortex lacks spatial selectivity Nat Commun (2021) 12: 4473 [This link is external to nei.nih.gov and will open in a new browser window or tab.] -- Dr. Hendrikje Nienborg Principal Investigator Laboratory of Sensorimotor Research National Eye Institute, NIH Office: +1 (301) 496 3549 Email: hendrikje.nienborg at nih.gov X/Mastodon: @nienborglab / @nienborglab at neuromatch.social https://www.nei.nih.gov/research/research-labs-and-branches/we-are-nei-intramural/hendrikje-nienborg -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 247 bytes Desc: image002.png URL: From mpavone at dmi.unict.it Thu Nov 9 04:51:59 2023 From: mpavone at dmi.unict.it (Mario Pavone) Date: Thu, 09 Nov 2023 10:51:59 +0100 Subject: Connectionists: MESS 2024 ~ autoDL meets HPC ~ 15-18 July 2024 Message-ID: <20231109105159.Horde.hghRduph4B9lTKu-1Rliw_A@webmail.dmi.unict.it> Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2024 - Metaheuristics Summer School - Automated Deep Learning meets High-Performance Computing - 15-18 July 2024, Catania, Italy https://www.ANTs-lab.it/mess2024/ mess.school at ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- ** APPLICATION DEADLINE: 16th March 2024 ** MESS 2024 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide them with an overview on the metaheuristics techniques, and an in-depth analysis of the state-of-the-art. It is a full-immersion four-days course in the beautiful city of Catania whose goal is to offer all participants with a stimulating environment to study and learn advanced concepts and recent research in the fields of Metaheuristics, Optimization, Machine Learning and Artificial Intelligence, in general. The main theme of this edition is focused on ?Automated Deep Learning Meets High-Performance Computing?, that is how these research areas may interact and affect each other in order to develop reliable and robust solving methodologies for Big Data analysis, and data-driven problems. All participants will be involved in the ?Metaheuristics Competition Race?, where each of them, individually or divided in working groups (no more than 3 people), will develop a metaheuristic solution for a given problem presented during the school. The top three of the competition ranking will receive the MESS 2024 award and will be involved in the writing of a manuscript dedicated to the competition that, afterwards, will be submitted to an international journal for possible publication. In addition, the remaining best ten in the ranking (excluding the top three, of course) will be invited to report their work in a manuscript which will be published in the special MESS 2024 Volume of the AIRO Springer Series. Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. ** SHORT ORAL PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. The Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted during the application by *March 16, 2020*. ** MESS 2024 DIRECTORS: - Salvatore Greco, University of Catania, Italy - Mario Pavone, University of Catania, Italy - Andrea Schaerf, University of Udine, Italy - El-Ghazali Talbi, University of Lille1, France - Daniele Vigo, University of Bologna, Italy ** METAHEURISTICS COMPETITION CHAIRS: - Raffaele Cerulli, University of Salerno, Italy - Sara Ceschia, University of Udine, Italy - Mario Pavone, University of Catania, Italy - Andrea Schaerf, University of Udine, Italy ** MORE INFORMATION: https://www.ANTs-lab.it/mess2024/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 mobile: +39 3384342147 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ========================================================= MESS 2024 - Metaheuristics Summer School 15-18 July 2024, Catania, Italy mess.school at ANTs-lab.it ========================================================= From qian.liang at icpbr.ac.cn Fri Nov 10 05:58:01 2023 From: qian.liang at icpbr.ac.cn (=?UTF-8?B?5qKB5YCp?=) Date: Fri, 10 Nov 2023 18:58:01 +0800 (GMT+08:00) Subject: Connectionists: Postdoctoral Position(s) in the Neurophysiology of Primate Interoception Message-ID: <42955434.3aeb5.18bb8e1b47a.Coremail.qian.liang@icpbr.ac.cn> The Dynamic Embodied Brain Laboratory (DEB Lab; http://www.icpbr.ac.cn/lab/evrard/) at the newly created International Center for Primate Brain Research (ICPBR; dir. Nikos Logothetis and Muming Poo;) is seeking to hire highly motivated postdocs or research associates with an interest in systems neuroscience and experience in in vivo electrophysiology. The DEB Lab combines cutting-edge experimental approaches in non-human primates, including simultaneous neuroimaging, neuro-electrophysiology, and body physiology. The aim of the lab is to examine the structural pathways and functional mechanisms underlying the role of interoception in neural network dynamics as well as in behavioral and physiological correlates of subjective perceptual awareness. Visit us at the SfN poster session, Sunday Nov 12, 1-5PM, posters 140.17, 140.18 and 140.19 (Poster Boards S1-S3). The ICPBR is affiliated with the Institute of Neuroscience (ION/CEBSIT) and is in close contact with the Lingang Lab group and top-level universities in Shanghai and China (Fudan, Jia tong, ZIINS?). All these institutions regroup numerous talented and internationally recognized neuroscientists, with numerous opportunities to interact and collaborate. The DEB Lab is involved in key international consortia (e.g., PRIME-DRE) and has active collaborations in the EU and US, with possibilities of further exchange and enrichment. Aiming to attract numerous foreign scientists, the ICPBR offers an internationally competitive salary and benefits package. Shanghai offers an excellent and unique cultural experience and a great quality of life in a modern and dynamic city, with numerous opportunities for exploring nearby Chinese and Asian destinations. To get more information and/or to apply, please directly contact Dr. Henry Evrard (henry.evrard at icpbr.ac.cn) or the DEB Lab manager, Ms. Qian Liang (qian.liang at icpbr.ac.cn). International Center for Primate Brain Research(ICPBR), Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Institute of Neuroscience (ION), Chinese Academy of Sciences (CAS) DEB Lab 500 Qiang Ye Road, Songjiang District, Shanghai 201602, China Email: qian.liang at icpbr.ac.cn -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 1699613035086.png Type: image/png Size: 1665754 bytes Desc: not available URL: From publicity at pakdd2024.org Thu Nov 9 23:08:39 2023 From: publicity at pakdd2024.org (publicity at pakdd2024.org) Date: Fri, 10 Nov 2023 12:08:39 +0800 Subject: Connectionists: [CFP] The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024) Call for Papers Message-ID: We are happy to announce that the 28th PAKDD will take place in Taipei, Taiwan, on May 7-10, 2024. PAKDD 2024 will continue the success of the previous PAKDD conferences and provide an international peer-reviewed forum for researchers and industry practitioners who are addressing the problems to share their new ideas, original research results, and practical development experiences from all KDD-related areas. We invite you to contribute to PAKDD 2024 and look forward to seeing you in Taipei. For up-to-date information on PAKDD 2024, please visit its homepage: http://pakdd2024.org. The Program Committee Chairs are soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by Springer. IMPORTANT DATES: November 15, 2023 (PST): Paper Submission Deadline January 10, 2024 (PST): Paper Acceptance Notification February 5, 2024 (PST): Camera Ready Papers Due TOPICS of interest include, but are not limited to: Theoretical Foundations Generative AI and quantum machine learning LLM and vision-language pretraining Pattern mining and association rules Classification, clustering, and regression Indexing, query analysis, and query processing Extraction, integration, cleaning, and summarization Information retrieval, NLP, and question answering Anomaly and outlier detection Recommendation systems Asymptotic analysis and intelligence analysis Online and streaming algorithms Optimization methods Kernel methods, matrices, and tensors Probabilistic models and statistical inference Deep and representation learning Reinforcement learning Relational and structured learning Few-shot learning and transfer learning Interpretability and explainability Measurements, evolution, and models of graphs Social network analysis and dynamics Low-quality and offensive content detection Semi-structured data and social media mining Spatio-temporal and sequential data mining User behavior analysis, exploitation, and modeling Robustness and evaluations Big Data Technologies Learning-based data cleaning and preparation Algorithmically efficient data transformation and integration Novel algorithmic and statistical techniques for big data mining Distributed data mining and searching on emerging architectures Analysis, sampling, evaluation, and search in large-scale systems Human computation and crowdsourcing of big data User interfaces and visual analytics of big data analysis Conversational search, zero-query, and implicit search Security, Privacy, Ethics, and Social Issues Modeling credibility, trustworthiness, and reliability Privacy-preserving data mining and privacy models Ethics of data mining, transparency, and algorithmic bias AI vs human creativity and human-AI co-creativity Sources and virality of misinformation Monitoring and detection of misinformation Social issues (e.g., early childhood development, poverty, etc.) Climate, ecological, and environmental science Resilience and sustainability Interdisciplinary Research and Applications of Data Science Symbiotic human-AI interaction and human-agent collaboration IoT and network traffic and log analysis Logistics management and supply chain management Business and financial data and computational advertising Intelligent assistants and AI-assisted programming Medical and public health applications Scientific data (e.g., astrophysics, genomics, robotics, etc.) PAPER SUBMISSION Please follow the guidelines given at the Website: http://pakdd2024.org. Authors are instructed to follow the Springer LNCS/LNAI manuscript submission guidelines for their submissions (max 12 single-spaced pages). Submitted papers will undergo a double-blind peer review process, coordinated by the Program Committee. PAKDD 2024 Organizing Committee Vincent S. Tseng (National Yang Ming Chiao Tung University) Jian Pei (Duke University) General Chairs De-Nian Yang (Academia Sinica) Xing Xie (Microsoft Research Asia) Program Committee Chairs --------------- From cactus-internship at tuebingen.mpg.de Fri Nov 10 12:42:35 2023 From: cactus-internship at tuebingen.mpg.de (Helena Dalmau Felderhoff) Date: Fri, 10 Nov 2023 18:42:35 +0100 Subject: Connectionists: =?utf-8?q?Paid_Research_Internships_in_AI_and_Bra?= =?utf-8?b?aW4gUmVzZWFyY2ggKENhQ1TDvFMp?= Message-ID: -- Apologies for cross-posting -- Our international internship program, CaCT?S, offers paid research internships at the Max Planck Institute for Biological Cybernetics, the Max Planck Institute for Intelligent Systems and the AI Center in T?bingen & Stuttgart (Germany) to students who face significant constraints in their pursuit of a career in AI or brain research. We would be very grateful if you could help us reach students who may benefit from our program. You can do that by distributing the call for applications in your professional networks, among your colleagues and any interested students, or by sharing our posts on social media. You may find details on the program and links to our social media posts below. We also attach a poster for physical distribution. We thank you in advance for any support you are willing to give us. If you have any questions, please feel free to contact us. Kind regards, Helena Dalmau Felderhoff - on behalf of the CaCT?S Internship coordination team - ** ** *About the CaCT?S Internship program* cactus-internship.tuebingen.mpg.de ** The sciences of biological and artificial intelligence are rapidly growing research fields that need enthusiastic minds with a keen interest in solving challenging questions. The Max Planck Institutes for Biological Cybernetics and Intelligent Systems as well as the AI Center in T?bingen & Stuttgart (Germany) offer up to 10 students at the Bachelor or Master level paid three-months internships during the summer of 2024. Successful applicants will work with top-level scientists on research projects spanning machine learning, electrical engineering, theoretical neuroscience, behavioral experiments, robotics and data analysis. The CaCT?S Internship is aimed at young scientists who are held back by personal, financial, regional or societal constraints to help them develop their research careers and gain access to first-class education. The program is designed to foster inclusion, diversity, equity and access to excellent scientific facilities. We specifically encourage applications from students living in low- and middle-income countries which are currently underrepresented in the Max Planck Society research community. Application deadline: 4 December 2023 *Social Media Links* Twitter: https://twitter.com/MPICybernetics/status/1721889847072391564 Facebook: https://www.facebook.com/photo/?fbid=869102504834759&set=a.682191520192526 Instagram:https://www.instagram.com/p/CzWQKBSNa7D/?utm_source=ig_web_copy_link&igshid=MzRlODBiNWFlZA== LinkedIn:https://www.linkedin.com/feed/update/urn:li:activity:7127656642657038336 ************************************************ CaCT?S Internship Coordination Office Max Planck Institute for Biological Cybernetics Max-Plank-Ring 8 72076 T?bingen Germany cactus-internship at tuebingen.mpg.de http://cactus-internship.tuebingen.mpg.de/ ************************************************ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: cactus_poster_2024.pdf Type: application/pdf Size: 700775 bytes Desc: not available URL: From c.reinke85 at gmail.com Fri Nov 10 11:08:48 2023 From: c.reinke85 at gmail.com (Chris Reinke) Date: Fri, 10 Nov 2023 17:08:48 +0100 Subject: Connectionists: [Winter School] SoRAIM Winter School for Social Robotics, Feb 2024, Grenoble, France Message-ID: ####################################################### Invitation to the Social Robotics, Artificial Intelligence & Multimedia (SoRAIM) Winter School, 19-23 Feb 2024, Grenoble, France ####################################################### The SoRAIM multi-disciplinary Winter School (https://spring-h2020.eu/soraim/, 19-23 February 2024, Grenoble, France) will provide an overview of the scientific, technological, and ethical questions in Social Robotics. Several top-level speakers will introduce and discuss the relevant areas for building socially aware robots that communicate and interact with humans, including: ? Speech source localization and separation ? Mapping and visual self-localization ? Social-aware robot navigation ? Tracking and analysis of human behavior ? Dialog management, natural language understanding, and generation ? Robotic middle-ware and software integration ? Ethics and experimental design SoRAIM aims to foster discussion between experts in these fields and to expose students (from Master level), young researchers and engineers to highly qualified scientists and experts. It will provide an opportunity to interact and discuss with researchers in the field, present your research in the form of a poster, and participate in wider topic discussions with your peers. Registration is free of charge BUT we ask that if you register, you attend the full program. Travel and accommodation fees must be taken in charge on your side. Some grants will be attributed to applicants based on merit, gender, and diversity criteria. Registration link: https://sondages.inria.fr/index.php/328215?lang=en Registrations will be treated on a first come first served basis combined with merit assessment based on your CV and ?if applicable (Master, PhD students)?recommendation from your supervisor. SoRAIM is organized by the Horizon 2020 SPRING project (spring-h2020.eu), funded by the European Commission. SPRING seeks to develop Socially Assistive Robots with the capacity to perform multi-person interactions and open-domain dialogue in a gerontological healthcare institution. Starting in 2020, it has produced ground-breaking research to allow robots to move, see, hear, and communicate with several actors in complex and unstructured populated spaces. Looking forward to seeing you in Grenoble next February, The SoRAIM organization committee. -------------- next part -------------- An HTML attachment was scrubbed... URL: From garrett.katz at gmail.com Fri Nov 10 14:28:20 2023 From: garrett.katz at gmail.com (Garrett Katz) Date: Fri, 10 Nov 2023 14:28:20 -0500 Subject: Connectionists: Call for Participation: AAAI-24 Bridge Program on Deep Automated Program and Proof Synthesis Message-ID: **** AAAI-24 Bridge Program on Deep Automated Program and Proof Synthesis (AP2S) **** February 20, 2024 at AAAI-24 Vancouver Convention Center https://garrettkatz.github.io/ap2s-bridge/ *** Call for Participation *** Automated Program and Proof Synthesis (AP2S) are two long-standing, closely-related challenges in AI, recently advanced through the incorporation of deep learning. However, much research focuses exclusively on one or the other, instead of leveraging synergies between them. This bridge workshop, a continuation of last year's 2023 inaugural meeting, aims to connect researchers from each sub-field and educate them about the other, including but not limited to recent applications of deep learning. The workshop will involve a series of tutorial lectures followed by group discussion. We invite contributions in the form of educational lectures and tutorials of 30, 45, or 90 minute durations. *** Program Scope *** The focus of the bridge is on underlying principles common to both program and proof synthesis. Both problems involve document generation in strict formal languages, leveraging large structured prior "knowledge" (known theorems or existing software libraries), navigating vast search spaces (possible proofs and programs), and high-level cognitive abilities (creativity and abstraction). Both problems have witnessed recent advances with deep learning, and each problem can be framed as an instance of the other. Grand challenges envisioned for this bridge include: - Automatically synthesized constructive existence proofs for novel algorithms with improved complexity characteristics - Deciding as-yet unsolved conjectures by automatically synthesizing programs in the languages of interactive proof systems - "Executing" a partially developed proof on concrete examples as "input", similarly to running a program, to guide the automated proof synthesis process - State-of-the-art in both program and proof synthesis using a common core deep learning technique - Fast, automated program and proof repair when a dependency (software library or axiomatization) is changed Topic areas for educational lectures/tutorials include: - Automated theorem proving techniques (e.g. resolution, paramodulation, term rewriting, etc.) - Automated program synthesis methods (e.g. abstraction domains, genetic programming) - Interactive proof systems (e.g. Metamath, Lean, Coq, Isabelle/HOL, etc.) - Automated proof systems (e.g. Vampire, E, etc.) - Deep learning techniques relevant to AP2S (e.g. transformers, graph neural networks, etc.) - Recent datasets relevant to AP2S (e.g. HOLStep, ProgRES, etc.) - Human reasoning processes during human program and/or proof synthesis *** Program Format *** This one-day bridge, scheduled for February 20, will consist of three educational sessions, with presentations grouped by area, and a fourth group discussion session. *** Submission requirements *** Draft presentation slides in PDF format, CVs of the speaker(s) in 2-page NSF Biosketch Format, and a brief cover page. The cover page must include a paragraph summary of the talk, a proposed duration (either 30, 45, or 90 minutes), and the names, affiliations, and contact information for the speaker(s). Submissions should be made through Microsoft CMT at this link: https://cmt3.research.microsoft.com/AP2S2024/Submission/Index *** Important dates: *** - November 24, 2023: Deadline for submissions - Friday, December 11, 2023: Submission decision notifications posted - Monday, December 20, 2023: Early registration deadline - February 20, 2024, 9:00AM - 5:00PM: Bridge Workshop at AAAI-24 *** Bridge Chairs *** - Garrett Katz, Syracuse University, gkatz01 at syr.edu - Kristopher Micinski, Syracuse University, kkmicins at syr.edu *** Bridge webpage *** For a copy of this CFP and more information (confirmed speakers, program schedule, lecture slides, etc.) see this web page for the bridge: https://garrettkatz.github.io/ap2s-bridge/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jacek.malec at cs.lth.se Fri Nov 10 18:50:47 2023 From: jacek.malec at cs.lth.se (Jacek Malec) Date: Sat, 11 Nov 2023 00:50:47 +0100 Subject: Connectionists: Assistant Professor position at Lund University, deadline 20/11 Message-ID: <60D9D816-94C1-4F13-9ED7-765C36751306@cs.lth.se> Assistant Professorship in Semantic Systems and Natural Language Processing, tenure track The Robotics and Semantic Systems group at the Department of Computer Science, Lund University, has announced an Assistant Professor position (bitr?dande universitetslektor, BUL) in Computer Science with focus on semantic systems and natural language processing. The group (https://rss.cs.lth.se) is doing research in cognitive robotics and AI, including Machine Learning, Natural Language Processing, Human-Robot Interaction and Advanced Robotics. The group is part of the RobotLab LTH (https://robotics.lth.se). It is involved in a number of research centers and programmes, including WASP (Wallenberg Autonomous Software and Systems Programme, https://wasp-sweden.org), ELLIIT (Excellence Center at Link?ping ? Lund in Information Technology, https://elliit.se), LTH profile area: Pillars of AI and Digitalization and LU profile area: Natural and Artificial Cognition. The candidate is expected to have a PhD a couple of years old, preferably after a postdoc, planning to settle for the academic career in a vibrant university (with a fresh Nobel prize in house:-). Detailed information about the position may be found in the announcement: https://lu.varbi.com/what:job/jobID:654845/?lang=en The deadline for applying is 20th November 2023. You are welcome to contact me for more details. Jacek Malec, head of the RSS group -- Jacek Malec jacek.malec at cs.lth.se Department of Computer Science tel. +46 46 2224950 LTH, Lund University cell +46 70 4950474 Box 118, 221 00 Lund, Sweden http://cs.lth.se/Jacek_Malec/ When you send emails to Lund University, we process your personal data in accordance with existing legislation. To find out more about the processing of your personal data, visit the Lund University website: https://www.lunduniversity.lu.se/about/contact-us/processing-of-personal-data-at-lund-university From ale at sissa.it Sat Nov 11 11:35:04 2023 From: ale at sissa.it (Alessandro Treves) Date: Sat, 11 Nov 2023 16:35:04 +0000 Subject: Connectionists: Postdoc at SISSA: Memory Glass in Language Evolution Message-ID: Applications are invited ? with deadline Dec 11 ? for a postdoc in limbo at SISSA (Trieste, Italy). The project is based on our research (Ryom and Treves, Phys Rev X Life, 2023, and unpublished) and on extensive data on language parameters collected by Longobardi and collaborators (Ceolin et al, Phil Trans Roy Soc B, 2021) which suggest that language diversity may reflect the disordered freezing dynamics that in a spin glass leads to a multiplicity of ground states. In a simplified model, vectors of binary syntactic parameters interact via strong asymmetric logical implications and weak partly symmetric influences, which can produce critical slowing down through a novel mechanism of percolated freezing. Candidates should be keen to develop new mathematical and computational approaches, as sketched in https://arxiv.org/abs/2307.03152 or otherwise, and enjoy learning about issues and narratives in scientific communities other than their own. Applications should be submitted online: https://pica.cineca.it/sissa/ar-fe-neur-82-2023 where further info is available, as well as on https://people.sissa.it/~ale/limbo.html and by email to Alessandro Treves ale at sissa.it ---------------------------------------------- Alessandro Treves Liminar Investigations of Memory and Brain Organization Cognitive Neuroscience, SISSA, Trieste, Italy +39 349 2504602 http://people.sissa.it/~ale/limbo.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Mon Nov 13 03:26:12 2023 From: info at icas.cc (ICAS Organizing Committee) Date: Mon, 13 Nov 2023 09:26:12 +0100 Subject: Connectionists: ACDL 2024, 7th Advanced Course on Data Science & Machine Learning - From Deep Learning to Generative AI | June 10-14 | Riva del Sole Resort & SPA - Italy -> Early Registration: by February 23 Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested, thanks * ACDL2024, An Interdisciplinary Course: From Deep Learning to Generative AI If you want to learn NLP, Generative AI Transformers, Large language models (e.g. ChatGPT, GPT family, PaLM, BERT, Megatron-Turing NLG, ...) Vision - Large-scale vision models (e.g. MAE, SimCLR, ...) Vision and language (e.g. DALL.E, ALIGN, CLIP, ...) Beyond vision and language (e.g. video, Knowledge-Graph, structured data, multilingual, ...) and much more then take part in ACDL 2024! ;-) Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14 https://acdl2024.icas.events acdl at icas.cc EARLY REGISTRATION: by February 23 (AoE) https://acdl2024.icas.events/registration/ Oral Presentation Submission Deadline: by February 23 (AoE) LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2024.icas.events/lecturers/ * Joseph Sifakis, Verimag Laboratory, Grenoble, France *Turing Award* Lectures 1-3 TBA * Sven Giesselbach, Fraunhofer Institute - IAIS, Germany 6 Lessons on "Foundation Models" * Ramin Hasani, MIT, USA 4 Lessons on "Continuous Neural Networks / Liquid Neural Networks" * Petros Koumoutsakos, Harvard, USA Lectures 1-3 TBA * Maria Liakata, The Alan Turing Institute, UK Lectures 1-3 TBA * Panos Pardalos, University of Florida, USA Lectures 1-2 TBA * Jakub M. Tomczak, Eindhoven University of Technology, The Netherlands 4 Lessons on ?Deep Generative Modeling? * Rianne van den Berg, Microsoft Research Amsterdam, The Netherlands 3 Lessons on "Diffusion Models" * Pascal Van Hentenryck, Georgia Institute of Technology, USA Lectures 1-3 TBA * Max Welling, University of Amsterdam, The Netherlands Lectures 1-3 TBA More Lecturers TBA TUTORIAL SPEAKERS: TBA Each Tutorial Speaker will hold more than four lessons on one or more research topics. PAST LECTURERS: https://acdl2024.icas.events/past-lecturers/ ACDL 2024 VENUE: Riva del Sole Resort & SPA Localit? Riva del Sole? Castiglione della Pescaia (Grosseto) CAP 58043? Tuscany? Italy p: +39-0564-928111 e: booking.events at rivadelsole.it w: https://www.rivadelsole.it/en/ https://acdl2024.icas.events/venue/ PAST EDITIONS: https://acdl2024.icas.events/past-editions/ REGISTRATION: https://acdl2024.icas.events/registration/ CERTIFICATE & 8 ECTS: PhD students, Postdocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants. The Course will involve a total of 36-40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points. TO PARTICIPATE IN ACDL 2024, all attendants must (1/2) register for the course (by February 23, 2024) and (2/2) book accommodation at the course venue, Riva del Sole Resort & SPA? (by April 23, 2024); all attendants must stay at the Riva del Sole Resort & SPA. Once accommodation has been booked at Riva del Sole Resort & SPA? the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl at icas.cc). ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking.events at rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book an apartment in single use. Anyone interested in participating in ACDL 2024 should register as soon as possible. See you in Riva del Sole in June! Giuseppe Nicosia & Panos Pardalos - ACDL 2024 Directors. ACDL 2024 Scientific & Organizing Committees. https://acdl2024.icas.events acdl at icas.cc *7th Advanced Course on Data Science & Machine Learning - ACDL 2024,* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) ? Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by February 23, 2024 (AoE)* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. https://acdl2024.icas.events/ *10th International Conference on Learning, Optimization and Data ? LOD 2024, *22?25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2024.icas.events/ lod at icas.cc *Submission Deadline: March 23* *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 *Symposium Submission Deadline: March 23 * *Early Registration Deadline for the Course: March 23* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *ICAS* *-* *The Interdisciplinary Centre of Advanced Studies* https://icas.cc/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Mon Nov 13 17:22:51 2023 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Mon, 13 Nov 2023 23:22:51 +0100 Subject: Connectionists: CFP Machine Learning conference - WSOM+ 2024 Message-ID: -- Apologies in advance for multiple postings -- Call for papers WSOM+ Workshop on Self Organizing Maps, Learning Vector Quantization & Beyond (!) WSOM+ is the premium international conference on self-organizing maps (SOM) and learning vector quantization (LVQ) for unsupervised and supervised data analysis as well as related areas like data visualization, statistical data analysis and interpretable data exploration. Contributions about theory, data analysis and respective applications are highly welcome. Topics of interest include but are not restricted to: + Theory of SOM, LVQ and related models + Prototype-based learning models + Data Visualization + Statistical Data Analysis and Machine Learning + Interpretable Models + Confidence & Transfer Learning + Applications in Medicine/Biology + Engineering Applications + Applications in Finance/Economics + Hardware and Neuromorphic Hardware for LVQ & SOM IMPORTANT DATES: ? Paper submission deadline: 15 January 2024 ? Notification of acceptance: 15 March 2024 ? The WSOM+ 2024 conference: 10-12 July 2024, Mittweida, Germany Submission details and other information will be available soon at https://www.institute.hs-mittweida.de/webs/sicim/events/wsom-2024/ All the best Frank -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science Technical University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg - email: frank-michael.schleif at thws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From marinella.petrocchi at iit.cnr.it Mon Nov 13 09:45:10 2023 From: marinella.petrocchi at iit.cnr.it (Marinella Petrocchi) Date: Mon, 13 Nov 2023 15:45:10 +0100 Subject: Connectionists: =?utf-8?b?WzFzdCBDZlBdIFJPTUNJUsKgMjAyNDrCoFRo?= =?utf-8?b?ZcKgNHRowqBJbnRlcm5hdGlvbmFswqBXb3Jrc2hvcMKgb27CoFJlZHVjaW5n?= =?utf-8?q?=C2=A0Online_Misinformation=C2=A0through=C2=A0Credible=C2=A0Inf?= =?utf-8?q?ormation=C2=A0Retrieval?= Message-ID: <87bf5479c828d710dcd5d415702f2b31@iit.cnr.it> [1st?CFP][Apologies?for?multiple?postings][ECIR?2024][ROMCIR?2024] ******************************************************************************************************************** ROMCIR?2024:?The?4th?International?Workshop?on?Reducing?Online Misinformation?through?Credible?Information?Retrieval Co-located with ECIR 2024: 46th European Conference on Information Retrieval Glasgow,?UK,?March 24,?2024 Conference?website:?https://romcir.disco.unimib.it Submission?link:?https://easychair.org/my/conference?conf=romcir2024 ******************************************************************************************************************** ***GENERAL?DESCRIPTION*** The fourth edition of ROMCIR concerns providing access to users to (topically) relevant and truthful information, to mitigate the human-generated or AI-generated information disorder phenomenon with respect to distinct domains. By `information disorder? we mean all forms of communication pollution, from misinformation made out of ignorance, automatically built on the basis of biased content, to intentional sharing of false content (generated both manually and automatically). In this context, all those approaches that can serve to assess the truthfulness of information circulating online and in social media in particular find their place. This topic is very broad, as it concerns different contents (e.g., Web pages, news, reviews, medical information, online accounts, etc.), different Web and social media platforms (e.g., microblogging platforms, social networking services, social question-answering systems, etc.), different purposes (e.g., identifying false information, accessing information based on its truthfulness, retrieving truthful information, etc.), and different open issues related in particular to AI (e.g., explainability of search results, assessment of the truthfulness of automatically generated content, generative models to support IRSs, etc.). ***THEMES*** The?themes?of?interest?include,?but?are?not?limited?to,?the?following: Access to truthful information Artificial Intelligence and information truthfulness assessment Bias detection Bot/spam/troll detection Computational fact-checking Crowdsourcing for information truthfulness assessment Disinformation/misinformation detection Evaluation strategies to assess information truthfulness Generative models and information truthfulness assessment Harassment/bullying/hate speech detection Information polarization in online communities, echo chambers Propaganda identification/analysis Retrieval of truthful information Security, privacy, and information truthfulness Sentiment/emotional analysis Societal reaction to misinformation Stance detection Trust and reputation Data-driven?approaches,?supported?by?publicly?available?datasets,?are more?than?welcome. ***CONTRIBUTIONS*** The?workshop?solicits?the?sending?of?two?types?of?contributions?relevant to?the?workshop?and?suitable?to?generate?discussion: -?Original,?unpublished?contributions?(pre-prints?submitted?to?ArXiv?are eligible)?that?will?be?included?in?an?open-access?post-proceedings volume?of?CEUR?Workshop?Proceedings?(http://ceur-ws.org/),?indexed?by both?Scopus?and?DBLP. -?Already?published?or?preliminary?work?that?will?not?be?included?in?the post-proceedings?volume. All?submissions?will?undergo?SINGLE-BLIND?peer?review?by?the?program committee. Submissions?are?to?be?done?electronically?through?the?EasyChair?at: https://easychair.org/my/conference?conf=romcir2024 ***SUBMISSION?INSTRUCTIONS*** Submissions?must?be: -?10?pages?long?(regular?papers) -?between?5?and?9?pages?long?(short?papers) We?recommend?that?authors?use?the?new?CEUR-ART?style?for?writing?papers to?be?published: -?An?Overleaf?page?for?LaTeX?users?is?available?at: https://www.overleaf.com/read/gwhxnqcghhdt -?An?offline?version?with?the?style?files?including?DOCX?template?files is?available?at:?http://ceur-ws.org/Vol-XXX/CEURART.zip -?The?paper?must?contain,?as?the?name?of?the?conference:?ROMCIR?2023: The?3rd?Workshop?on?Reducing?Online?Misinformation?through?Credible Information?Retrieval,?held?as?part?of?ECIR?2023:?the?45th?European Conference?on?Information?Retrieval,?April?2,?2023,?Dublin,?Ireland -?The?title?of?the?paper?should?follow?the?regular?capitalization?of English -?Please,?choose?the?single-column?template -?According?to?CEUR-WS?policy,?the?papers?will?be?published?under?a?CC BY?4.0?license:?https://creativecommons.org/licenses/by/4.0/deed.en If?the?paper?is?accepted,?authors?will?be?asked?to?sign?(at?pen)?an author?agreement?with?CEUR: -?In?case?you?do?not?employ?Third-Party?Material?(TPM)?in?your?draft, sign?the?document?at http://ceur-ws.org/ceur-author-agreement-ccby-ntp.pdf?ver=2020-03-02 -?If?you?do?use?TPM,?the?agreement?can?be?found?at http://ceur-ws.org/ceur-author-agreement-ccby-tp.pdf?ver=2020-03-02 ***IMPORTANT?DATES*** -?Abstract?Submission?Deadline:?January?05,?2024 -?Paper?Submission?Deadline:?January?12,?2024 -?Decision?Notifications:?February?16,?2024 -?Workshop?day:?March 24,?2024 ***CHAIRS*** -?Marinella?Petrocchi?(https://www.iit.cnr.it/en/marinella.petrocchi/), IIT-CNR,?Pisa,?Italy -?Marco?Viviani?(https://ikr3.disco.unimib.it/people/marco-viviani/), University?of?Milano-Bicocca,?Milan,?Italy -- Marinella Petrocchi Senior Researcher @Institute of Informatics and Telematics (IIT) National Research Council (CNR) Pisa (Italy) `Luck is a matter of geography' (Bandabardo') From interdonatos at gmail.com Tue Nov 14 10:12:19 2023 From: interdonatos at gmail.com (Roberto Interdonato) Date: Tue, 14 Nov 2023 16:12:19 +0100 Subject: Connectionists: CfP FRCCS 2024 - Fourth French Regional Conference on Complex Systems, 29-31 May 2024, Montpellier Message-ID: CFP FRCCS 2024 Montpellier, France May 29 ? 31, 2024 Fourth* F*rench* R*egional* C*onference on* C*omplex* S*ystems May 29 ? 31, 2024 Montpellier, France *FRCCS 2024* After successfully hosting the conference in Dijon in 2021, Paris in 2022, and Le Havre in 2023, the fourth edition of the French Regional Conference on Complex Systems (FRCCS 2024) will be held in Montpellier, France. This single track international conference organized by CSS France serves as a platform to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2024 provides a valuable opportunity for participants to meet in France, exchange and promote ideas, facilitating the cross-fertilization of recent research work, industrial advancements, and original applications. Moreover, the conference emphasizes research topics with a high societal impact, showcasing the significance of complexity science in addressing complex societal challenges. Join us in Montpellier as we collectively strive to better understand complexity and its implications for society. You are cordially invited to submit your contribution until *February 21, 2024.* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Papers* about *original research* (up to 12 pages) ? *Extended Abstract* about published or unpublished research (3 to 4 pages). *Keynote Speakers* ? Ingmar Weber , Saarland University ? Sonia K?fi , Universit? de Montpellier ? Petter Holme , Aalto University ? Natasa Przulj , Barcelona Supercomputing Center ? Bolek Szymanski , Rensselaer Polytechnic Institute *Publication* - Contributions will be included in the conference proceedings (With ISBN) - *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, edited by Springer o Complexity, edited by Hindawi *Topics include, but are not limited to: * ? *Foundations of complex systems * o Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals ? *Complex Networks * o Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. ? *Neuroscience, Linguistics* o Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity ? *Economics & Finance* o Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment ? *Infrastructure, planning, and environment * o critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences ? *Biological and (bio)medical complexity * o biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging ? *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation ? *Socio-Ecological Systems* o Global environmental change, green growth, sustainability & resilience, and culture ? *Organisms and populations * o Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution ? *Engineering systems and systems of systems* o bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology ? *Complexity in physics and chemistry* o quantum computing, quantum synchronization, quantum chaos, random matrix theory) *GENERAL CHAIRS* Roberto Interdonato , CIRAD, UMR TETIS, Montpellier Bruno Pinaud , LABRI University of Bordeaux -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Tue Nov 14 11:35:07 2023 From: benoit.frenay at unamur.be (=?iso-8859-1?Q?Beno=EEt_Frenay?=) Date: Tue, 14 Nov 2023 16:35:07 +0000 Subject: Connectionists: Full-time assistant professor in distributed systems at UNamur Message-ID: Dear colleagues, If you are looking for a team of kind and passionate colleagues that value both research and teaching, the Faculty of Computer Science at UNamur has an open academic position in distributed systems. The Faculty is more than 50 years old and is located in Namur, an historical city at the center of Wallonia. We are looking for candidates that will create and contribute to collaborations in line with the Faculty's areas of interest (software engineering, data engineering, data science, artificial intelligence, security, formal methods, modeling...). All details can be found here (deadline is January 9th): https://jobs.unamur.be/emploi.2023-11-02.1926501626 Best regards, Beno?t Fr?nay -------------- next part -------------- An HTML attachment was scrubbed... URL: From battleday at g.harvard.edu Tue Nov 14 17:04:42 2023 From: battleday at g.harvard.edu (Battleday, Ruairidh) Date: Tue, 14 Nov 2023 17:04:42 -0500 Subject: Connectionists: Registration open for algorithmic innovation in AI and biotech day (MIT/Harvard/PillarVC; 27th November; Boston) Message-ID: We are thrilled to announce a day of talks on algorithmic innovation and entrepreneurship (Boston, 27th Nov). TLDR: This will feature speakers from universities and tech companies talking about the design and application of algorithms for innovation, discovery, and design in their research: www.algopreneurship.org We will be hosting leading researchers from Harvard, MIT, Oxford, Princeton, and Stanford, who will give a succession of short talks that spotlight how their algorithms are being used to generate innovations in AI research and biotech, including Professor George Church at Harvard, one of the founders of synthetic biology, and Professor Mina Lukovic, who leads the Algorithmic Design Group at MIT. A group of industry leaders will attend and discuss these ideas in Q&A sessions, roundtable discussions, and panel events. These include faculty from HBS and MIT Sloan, as well as representatives from entrepreneurship, VCs, and larger tech, consultancy, and biomedical companies. The event will be open to the members of the AI and entrepreneurial communities, and recorded for future viewing. There will be a lunch and post-expo reception. Registration is via the website above. Please let me know if you have any questions. All the best, Ruairidh Battleday -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD 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 tomas.hromadka at gmail.com Tue Nov 14 17:06:24 2023 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Tue, 14 Nov 2023 23:06:24 +0100 Subject: Connectionists: COSYNE 2024: Abstract submission closes soon; Cosyne Mentoring Forum is available Message-ID: <34c51433-7848-4235-b2a9-ba2188103f04@gmail.com> ==================================================== Computational and Systems Neuroscience 2024 (Cosyne) MAIN MEETING 29 February - 03 March 2024 Lisbon, Portugal WORKSHOPS 04 March - 05 March 2024 Cascais, Portugal www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Abstract submission deadline: 19 November 2023 11:59pm PST ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 19 November 2023. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ----------------------------------------------------- COSYNE MENTORING FORUM ----------------------------------------------------- Cosyne Mentoring Forum provides a platform for discussions among Cosyne participants, particularly for help with composing abstracts for the meeting and getting feedback before submission. The forum is intended to be a place to connect with other computational and systems neuroscientists and help (especially but not limited to women, people of color, people from less-privileged labs/countries/backgrounds, and other underrepresented groups). Forum members are encouraged to share advice on everything from writing a great Cosyne abstract to navigating a job search. See Cosyne.org->About->Mailing lists for details on how to subscribe and post to the forum. Mentors, we need your expertise! If you can provide feedback on up to two Cosyne abstracts, kindly sign up by 15 November using this link: https://forms.gle/SpsLkkmku2d5mCE38 Mentees, to receive feedback that could enhance your Cosyne abstract, please sign up by the evening of 15 November at the same link: https://forms.gle/SpsLkkmku2d5mCE38 ----------------------------------------------------- COSYNE 2024 COMMITTEES ----------------------------------------------------- COSYNE ORGANIZING COMMITTEE General Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Program Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Workshop Chairs: SueYeon Chung (NYU/Flatiron) and Andrew Saxe (Oxford) Tutorial Chair: Il Memming Park (Champalimaud) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) DEIA Committee: Hysell Oviedo (Washington U) and Luke Sjulson (Albert Einstein) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Champalimaud) Poster Design: Maja Bialon COSYNE PROGRAM COMMITTEE Bing Brunton (U Washington) Co-chair Chandramouli Chandrasekaran (Boston U) Co-chair Yashar Ahmadian (UCL) Athena Akrami (UCL) Timothy Buschman (Princeton) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Rainer Friedrich (Friedrich Miescher Institute) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Kameron Harris (W Washington U) Santiago Jaramillo (U Oregon) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Emily Mackevicius (Basis) Jorge Mejias (U Amsterdam) Leenoy Meshulam (U Washington) Jonathan Michaels (York U) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Marino Pagan (UCL) Chethan Pandarinath (Emory) Il Memming Park (Champalimaud) Hannah Payne (Columbia) Talmo Pereira (Salk) Supratim Ray (Indian Inst Sci) Erin Rich (Mount Sinai) Ben Scott (Boston U) Alireza Soltani (Dartmouth) Nicholas Steinmetz (U Washington) Carsen Stringer (HHMI) Marie Suver (Vanderbilt) Aparna Suvrathan (McGill) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) Dan Yamins (Stanford) COSYNE EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) COSYNE CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details. From weng at msu.edu Tue Nov 14 23:50:20 2023 From: weng at msu.edu (Weng, Juyang) Date: Wed, 15 Nov 2023 04:50:20 +0000 Subject: Connectionists: Deadline Wednesday 11/14: Workshop on Transparentizing Deep Learning Message-ID: If you need a time extension, please send an email to weng at msu.edu Workshop on Transparentizing Deep Learning (WTDL 2024) January 16, 2024 in 5th AIEE Bangkok, Thailand http://www.aiee.net/workshop.html Sponsored by Brain-Mind Institute http://brain-mind-institute.org/ The Deep Learning scheme has been the basis of a great recent increase in the number of AI-related publications. Based on Deep Learning, many generative AI systems, such as ChatGPT and Large Language Models (LLMs), have also attracted much attention from the public, media, as well as policymakers, including those in the U.S., Europe, and China. ?For LLMs to solve problems, people need better understand the successes and failures of these tools? (editorial, Nature, July 27, 2023). This workshop invites researchers knowledgeable about deep learning to exchange the latest results toward transparentizing deep learning, including LLMs. Full research and position papers accepted will be published in the workshop section of the proceedings of AIEE 2024. Accepted abstracts will be presented during the workshop. After submitting your papers online to AIEE 2023, send them also to the workshop general chair via email. The registration fee for the workshop is US$80 by Dec. 31, 2023, and $100 after. According to paper submissions, the Workshop intends also to hold a panel session to facilitate interactive discussions among the workshop participants. Workshop presenters will be onsite, but registered remote viewers are allowed who will be able to submit questions to the panel members and presenters. For more details, visit the website of the 5th AIEE http://www.aiee.net/. General Chair: Prof. Juyang (John) Weng Brain-Mind Institute and GENISAMA Michigan, USA weng at msu.edu Program Co-Chairs: Prof. Dongshu Wang Zhengzhou University Henan, China wangdongshu at zzu.edu.cn Prof. Xiang Wu Nanjing University of Science and Technology Nanjing, China wux0213 at hotmail.com Local Arrangement: Ms. Emma Zhou, Email: aiee2021 at 163.com Website: www.aiee.net Tel.: +86-18117808143 -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Wed Nov 15 00:44:38 2023 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Wed, 15 Nov 2023 06:44:38 +0100 Subject: Connectionists: PhD positions in learning, fairness and privacy Message-ID: We are looking for motivated PhD students in the fields of reinforcement learning, fairness and mechanism design at the university of Neuchatel, Switzerland. The project is about developing reinforcement-learning based AI systems that directly interact with some segment of society. The applications include matching and other allocation problems. The research will be performed at the interface between reinforcement learning, social choice theory, Bayesian inference, mechanism design, differential privacy and algorithmic fairness.? The research will have both a theoretical and practical component, which will include some experiments with humans. However, a good theoretical background in probability, machine learning or game theory is necessary for all students. Neuchatel is a vibrant, affordable lakeside city at the Jura mountains of Switzerland, with short connections to Zurich, Lausanne, Fribourg and Bern. The positions are available from January 2024. The PhD lasts for 4 years and includes a small teaching component. To apply, send an email to first.lastname at unine.ch with the subject "PhD Application FairRL". Please include: 1. A statement of research interests. 2. A detailed CV. 3. A transcript of your diplomas. 4. Your Master/Diploma thesis, and any draft or published papers. For more information about the project see: https://sites.google.com/site/christosdimitrakakis/positions For information about the group, see: https://sites.google.com/site/christosdimitrakakis From whitney.tabor at uconn.edu Wed Nov 15 01:35:38 2023 From: whitney.tabor at uconn.edu (Tabor, Whitney) Date: Wed, 15 Nov 2023 06:35:38 +0000 Subject: Connectionists: PhD positions in Language and Cognition at the University of Connecticut Message-ID: The Language and Cognition program in the Department of Psychological Sciences at the University of Connecticut is recruiting a diverse group of creative scholars to join our PhD program in Fall, 2024. We have a strong track-record of interdisciplinary research spanning from theory and computational modeling to empirical cognitive and neuroscience approaches. Research in our program examines a number of major themes, including neurobiological mechanisms in speech perception, reading, sentence processing, semantic memory and concept formation, event cognition, individual differences, and complex systems/dynamical systems theory approaches to language and cognition, in typical and atypical populations. We have strong collaborative links to researchers outside of UConn as well as our colleagues at UConn including those in Linguistics, Speech, Language, and Hearing Sciences, Educational Psychology, Mathematics, Philosophy, Engineering, and Medicine. We are affiliated with UConn?s Cognitive Science program, the CT Institute for the Brain and Cognitive Sciences (IBACS), and Haskins Laboratories. Facilities include state-of-the-art MRI, high-density EEG, eye-tracking, TMS, and other neuromodulation techniques at UConn?s Brain Imaging Research Center and IBACS, as well as access to computing clusters, lab space, and a dynamic program of colloquia, internal talk series, and interest groups. UConn graduate students are unionized and funding includes health insurance. To apply, contact a potential faculty advisor, explore UConn, and complete the application procedure by December 1, 2023. To apply, please consult https://psychology.uconn.edu/phd/language-and-cognition Whitney Tabor (860) 486-4910 (office) Department of Psychological Sciences (860) 486-2760 (fax) University of Connecticut (860) 486-6080 (lab) Storrs, CT 06269-1020 whitney.tabor at uconn.edu USA BOUS Room 124 (office) https://wp.solab.uconn.edu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Wed Nov 15 03:11:54 2023 From: announce at ucy.ac.cy (Announce) Date: Wed, 15 Nov 2023 08:11:54 +0000 Subject: Connectionists: University of Cyprus: Academic Vacancy in A.I. with emphasis in Machine Learning Message-ID: <7IJT1A6P-XTSJ-DV42-BSTY-X0XQRZB3Z8SR@ucy.ac.cy> UNIVERSITY OF CYPRUS VACANCY ANNOUNCEMENT FOR AN ACADEMIC POSITION IN A.I. WITH EMPHASIS IN MACHINE LEARNING The University of Cyprus was founded in 1989 and admitted its first students in 1992. Within a short time, the University of Cyprus achieved international distinctions. Today, it is ranked as the 99th young university (under 50 years) and among the 501-600 best universities worldwide by the Times Higher Education Rankings. These notable distinctions, achieved in the highly competitive field of research, are the result of commitment and dedication to continuous development and research excellence, the promotion and strengthening of which constitutes a key strategic objective of the University of Cyprus. Moreover, the University continually extends and develops its undergraduate and graduate programs of study. To best serve its research and educational aims, the University recruits high-caliber academic staff who can make significant contributions to the development of internationally competitive research projects and to the design and delivery of new curricula. The University of Cyprus is committed to promoting inclusivity, diversity, and equality, as well as the elimination of all forms of discrimination in order to provide a fair, safe and pleasant environment for the entire university community, where students and staff members will feel supported both in their professional and personal development, within and beyond their multiple identities. To this end, the University of Cyprus seeks to create the necessary conditions that will encourage and respect diversity and ensure dignity both in the workplace and society at large. Moreover, the University has adopted specific policies to promote equal opportunities, as well as respect and understanding of diversity, while it is committed to promoting and maintaining a working, teaching, and learning environment, free from any form of discrimination, whether direct or indirect. DEPARTMENT OF COMPUTER SCIENCE The University of Cyprus invites applications for one (1) tenure-track position at the rank of Lecturer or Assistant Professor in the Department of Computer Science, in the field of Artificial Intelligence with emphasis in Machine Learning. For all academic ranks, a Doctoral degree from an accredited University is required. The minimum requirements for each academic rank are available at https://rb.gy/e9oi7 and include: previous academic experience, outstanding research achievements and notable scientific contributions, experience in developing and teaching of high quality undergraduate and graduate curricula. Candidates do not need to be citizens of the Republic of Cyprus. The official languages of instruction are Greek and Turkish. For the above position, fluency in the Greek language is necessary. In case the selected candidate is not proficient in the Greek language, the candidate and the Department shall ensure that the former acquires sufficient knowledge of the Greek language within 3 years from the date of appointment. Each Department sets its own criteria concerning the required level of fluency in the Greek language. In accordance with the applicable legislation, the annual gross salary (including the 13th salary) for full-time employment is: Assistant Professor: (Scale A13-A14) ?62.611,88 - ?84.439,86 Lecturer: (Scale A12-A13) ?47.589,64 - ?77.438,96 Employee contributions to the various State funds will be deducted from the above amounts. Candidates are invited to submit their applications electronically by uploading the following documents in English and in PDF format at the following link: https://applications.ucy.ac.cy/recruitment 1. Cover Letter 2. Curriculum Vitae 3. Copy of ID/Passport 4. Copies of degree certificates 5. Review of previous research work and a brief description of future research projects (up to 3 pages) 6. List of publications 7. Representative publications (up to 3 publications which should be submitted separately). While publications are not required for the rank of Lecturer, candidates applying for this rank are encouraged to submit representative publications if they have any. 8. The names and email addresses of three professors from whom confidential letters of recommendation (in English) will be automatically requested upon submission of the application. Letters of recommendation may be submitted up to 7 days following the deadline for submission of applications. It is the responsibility of each candidate to ensure that the references are submitted. In case the letters of recommendation are not submitted on time, the application will not be considered. The above documents (1-7) must be uploaded as separate PDF documents. No change will be possible following the submission of your application. The deadline for applications is on Monday 05th of February 2024. The selected applicants will be required to submit copies of degree certificates certified by the Ministry of Education (if the degrees were obtained from universities in Cyprus) or from the Issuing Authority (if the degrees were obtained from foreign universities). Applications, supporting documents and recommendation letters submitted in response to previous vacancy announcements will not be considered and must be resubmitted. Applications not providing all the required documents specified in the online application form at the above link will not be considered. The applicant shall ensure that their application has been successfully submitted. Upon submission, the candidate will receive an automated confirmation email. For more information, please contact the Department of Computer Science (+357 22 89 2669) or the Human Resources Services (tel.: +357 22 89 4146). -------------- next part -------------- An HTML attachment was scrubbed... URL: From alexandre.pitti at cyu.fr Wed Nov 15 05:21:21 2023 From: alexandre.pitti at cyu.fr (Alexandre PITTI) Date: Wed, 15 Nov 2023 11:21:21 +0100 (CET) Subject: Connectionists: Fully funded PhD position in the fields of neuro-inspired robotics, CY Cergy-Paris University, France In-Reply-To: <2136336025.645372437.1700043473582.JavaMail.zimbra@cyu.fr> References: <2136336025.645372437.1700043473582.JavaMail.zimbra@cyu.fr> Message-ID: <1228864360.645377518.1700043681655.JavaMail.zimbra@cyu.fr> The Neurocybernetic team of ETIS Lab (CNRS, CY Cergy-Paris University, ENSEA) is seeking applicants for a fully funded PhD place providing an exciting opportunity to pursue a postgraduate research in the fields of bio/neuro-inspired robotics, ethology, neuroscience. This PhD is funded by the French ANR, under a 4 years' project on Sensorimotor integration of variability during birdsong learning. Motor variability, by allowing the exploration of the motor space, is an essential component of how sensorimotor circuits change across the learning course and may adapt to different conditions. Yet, knowledge remains sparse on how the variability of the input model contributes to the efficiency of sensorimotor integration during both speech acquisition and birdsong learning. This proposal will model the learning processes at play to eventually feed neurocomputational models of speech learning. The applicant will develop an artificial neural model, developmental and brain-inspired, to learn the sound structure in real time and without explicit supervision. Until now, AI models for developmental learning of vocalizations have been solely validated by comparison against a human-annotated corpus and not yet via direct sensorimotor interactions with living animals. We expect to do so with an interactive robot under the framework of active inference and predictive coding. some references: [1] Brain-inspired model for early vocal learning and correspondence matching using free-energy optimization Pitti A, Quoy M, Boucenna S, Lavandier C (2021) Brain-inspired model for early vocal learning and correspondence matching using free-energy optimization. PLOS Computational Biology 17(2): e1008566. [ https://doi.org/10.1371/journal.pcbi.1008566 | https://doi.org/10.1371/journal.pcbi.1008566 ] [2] Alexandre Pitti, Mathias Quoy, Catherine Lavandier, Sofiane Boucenna, Gated spiking neural network using Iterative Free-Energy Optimization and rank-order coding for structure learning in memory sequences (INFERNO GATE), Neural Networks, Volume 121, 2020, Pages 242-258, [ https://doi.org/10.1016/j.neunet.2019.09.023 | https://doi.org/10.1016/j.neunet.2019.09.023 ] . [3] Annabi, L., Pitti, A., & Quoy, M. (2021). Bidirectional interaction between visual and motor generative models using predictive coding and active inference. Neural Networks , 143 , 638-656. The PhD lasts for 3 years and includes a small teaching component. deadline: till found Duration: January 2024-December 2027 To apply, send us an email first Please include: 1. A statement of research interests. 2. A detailed CV. 3. A transcript of your diplomas. 4. Your Master/Diploma thesis, and any draft or published papers. Contact: Prof Alex Pitti alexandre.pitti at cyu.fr & Prof assistant Sofiane Boucenna sofiane.boucenna at cyu.fr Alex Pitti team NeuroCybernetics Professor Laboratoire ETIS, CY Cergy Paris Universit?, ENSEA, CNRS, UMR8051 [ https://www.etis-lab.fr/neuro | https://www.etis-lab.fr/neuro ] [ https://sites.google.com/view/alexpitti/home/ | https://sites.google.com/view/alexpitti/home/ ] -------------- next part -------------- An HTML attachment was scrubbed... URL: From joern.diedrichsen at googlemail.com Wed Nov 15 12:54:07 2023 From: joern.diedrichsen at googlemail.com (=?utf-8?Q?J=C3=B6rn_Diedrichsen?=) Date: Wed, 15 Nov 2023 12:54:07 -0500 Subject: Connectionists: Postdoctoral Position in imaging analysis (cerebellar development) Message-ID: <2472CAFD-9141-4AE1-BD77-4CF611EB79F6@googlemail.com> We are looking to recruit a new postdoctoral associate for a large collaborative project on the anatomical development of the human cerebellum. The overall goal of the project is to develop a high-resolution normative model of human cerebellar development across the entire life span. The successful candidate will join the Diedrichsen Lab (Western University, Canada) and will work with a team of colleagues at Erasmus Medical Center, the Donders Institute (Netherlands), McGill, Dalhousie, Sick Kids, and UBC (Canada). A PhD degree in Neuroscience, Statistics, Computer Science, Engineering, Psychology, Medicine or related fields is required. Expertise in machine learning, analysis of medical imaging data, and/or normative modeling is highly desired. The project is funded for a 3 year duration, with the initial contract for 2 years. The exact starting date is negotiable, but would ideally be April 1st, 2024. For more information and application instructions, please see the full ad on our website . J?rn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistical and Actuarial Sciences Email: jdiedric at uwo.ca Tel: 1-519-661-2111 x86994 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Thu Nov 16 11:03:44 2023 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Thu, 16 Nov 2023 16:03:44 +0000 Subject: Connectionists: Second edition of the Seeing and Acting Workshop (SAW). University of Coimbra, Portugal, 26-28 September 2024 Message-ID: Dear colleague, (Sorry for the cross posting and mass email) Please save the date for the second edition of the *Seeing and Acting Workshop (SAW)* that will take place at the Faculty of Psychology and Educational Sciences of the University of Coimbra, *September 26-28, 2024 *in Coimbra, Portugal. For the second edition of SAW, we have, once again, an exciting and stimulating group of Invited Speakers: ? *Chris Baker*, National Institute of Mental Health, USA ? *Paolo Bartolomeo*, Sorbonne University, France ? *Marlene Behrmann*, Carnegie Mellon University, USA ? *Jody Culham*, Western University, Canada ? *Roland Fleming*, Giessen University, Germany ? *Sabine Kastner*, Princeton University, USA ? *Hans Op de Beeck*, KU Leuven, Belgium The goal of SAW is to provide a forum for cognitive science/neuroscience researchers from a range of perspectives who are interested in Perception and Action, broadly construed, to come together to discuss their research and develop new directions and collaborations. The format of the workshop is intended to encourage extensive discussion among participants. To this end, we have scheduled only a small number of invited speakers, and there are no concurrent talks. In addition to the individual seminars, there will be a poster session for students, postdocs and other researchers to present their work. *Abstract submission for posters closes on July 31, 2024*. The five best abstracts whose first author is a student or postdoc will receive a 200 euro award sponsored by ANT Neuro. Registration for the workshop will be open in a couple of weeks. To register, submit a poster abstract, or for more information, please visit: https://www.uc.pt/cogbooster/saw/2024/ Please note that there are a limited number of places (~120), which will be assigned on a first come, first served basis. To secure your place, please register as soon as possible. Note that you can register now and submit an abstract later (but before the July 31, 2024 deadline). SAW is powered by the ERA Chair CogBooster, and by the Faculty of Psychology and Educational Sciences of the University of Coimbra, Portugal. Workshop Organizers: Jorge Almeida, Alfonso Caramazza, Paul Downing, Mel Goodale, Zoe Kourtzi, Angelika Lingnau, and Isabel Pav?o Martins [image: final 2024.jpg] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: final 2024.jpg Type: image/jpeg Size: 689415 bytes Desc: not available URL: From silvio.sabatini at unige.it Fri Nov 17 05:00:14 2023 From: silvio.sabatini at unige.it (Silvio P. Sabatini) Date: Fri, 17 Nov 2023 11:00:14 +0100 Subject: Connectionists: PhD position Bioengineering and Robotics | University of Genoa, ITALY Message-ID: Applications are invited for one full-time PhD studentship for a period of 3 years, at the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS), University of Genoa, Italy. The position will start on *Mar 1st, 2024* on the following research project: *A computational analysis of early vision function in silico networks of LIF neurons* Description: Computational models of early visual processing typically rely on simple linear contrast-encoding assumptions, which do not account for many higher-order mechanisms. Accordingly, many details remain underrated, as well their implications on functional vision. The project aims to implement neuromorphic multi-layer networks of leaky integrate-and-fire (LIF) neurons in cascade to a motorized event-based camera (DAVIS, DVS, https://inivation.com/technology/), to obtain artificial replicas of the early stages of an active vision system. Testing the models will involve the assessment of multiple and varying parameters captured under real-life and adaptive conditions. At functional level, the system will (1) consider the neural resources required to account for a range of linear/nonlinear early visual processes, and (2) provide the inference engines for relating the resulting visual representations to performance on psychophysical tasks. The visual performance of the resulting silicon model will be comparatively assessed with that of a typical human observer. The objective is twofold: on the one hand, we contribute a deeper understanding of visual processes, especially about predicting how early computation may reverberate through the sensory pathways eventually contributing to functional vision. On the other hand, we contribute to the definition of a new generation of perceptual machines to be used in robotics and in general in newly developed Artificial Intelligence systems. The research will be conducted at the Bioengineering/PSPC labs of DIBRIS. Applicants are expected to: (1) have a Master?s degree in Bioengineering, Robotics engineering, Electrical Engineering, Computer Science, Physics or related disciplines, (2) have a keen interest in Vision Science and in Artificial Intelligence, (3) have good programming skills in at least one language (MATLAB, C/C++, Python, C#), (4) work well in group problem solving situations, (5) have intermediate communication skills (oral and written in English). Experience in neural modeling is a plus. Prospective students, please contact Silvio P. Sabatini ( silvio.sabatini at unige.it) providing your CV and qualifications, the name and contact details of two references, and a description of your research interests. *Online application is possible till *December 18th , 2023 (12:00 a.m. CET)** Full details on the call and the application procedure are available at: https://unige.it/dottorati-di-ricerca and https://biorob.phd.unige.it/how-to-apply Reference: Course: BIOENGINEERING AND ROBOTICS In agreement with the Foundation of the Italian Institute of Technology (Fondazione Istituto Italiano di Tecnologia ? IIT) Curriculum: BIOENGINEERING (CODE 10137) Regards, -- -- --------------------------------------------------------------------- Silvio P. SABATINI, PhD [PSPC Research Group] DIBRIS - University of Genova | e_mail: silvio.sabatini at unige.it Via Opera Pia, 13 | phone: +39 010 33 52092 I-16145 Genova (ITALY) | fax: +39 010 33 56533 URL: http://pspc.unige.it --------------------------------------------------------------------- "Imagination is more important than knowledge..." [Albert Einstein] -------------- next part -------------- An HTML attachment was scrubbed... URL: From t.eliassirad at northeastern.edu Thu Nov 16 21:12:07 2023 From: t.eliassirad at northeastern.edu (Eliassi-Rad, Tina) Date: Fri, 17 Nov 2023 02:12:07 +0000 Subject: Connectionists: Postdoc opportunities in AI/ML and Network Science @ Northeastern University in Boston, MA References: Message-ID: <278A034D-5DE4-4D97-B1B6-ADF08BCF72E3@northeastern.edu> The RADLAB at Northeastern University?s Network Science Institute has two postdoctoral positions available. We are looking for exceptional candidates who are interested in the following programs: 1. Trustworthy Network Science: As the use of machine learning in network science grows, so do the issues of stability, robustness, explainability, transparency, and fairness, to name a few. We address issues of trustworthy ML in network science. 2. Just Machine Learning: Machine learning systems are not islands. They are part of broader complex systems. To understand and mitigate the risks and harms of using machine learning, we remove our optimization blinders and study the broader complex systems in which machine learning systems operate. Details can be found at https://bit.ly/3MKTo6V. ----------------- Tina Eliassi-Rad - President Joseph E. Aoun Professor, Northeastern University - External Faculty, Santa Fe Institute - External Faculty, Vermont Complex Systems Center From Pavis at iit.it Fri Nov 17 04:32:34 2023 From: Pavis at iit.it (Pavis) Date: Fri, 17 Nov 2023 09:32:34 +0000 Subject: Connectionists: 2 Postdoctoral positions in Audiovisual Learning and Audio Processing [Jobs] In-Reply-To: References: , Message-ID: 2 Postdoctoral positions 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. Please note that the positions are, at the moment, Pending Grant Agreement signature. 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 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: December 22nd, 2023 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: mailto: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 luigi.acerbi at helsinki.fi Fri Nov 17 04:38:15 2023 From: luigi.acerbi at helsinki.fi (Luigi Acerbi) Date: Fri, 17 Nov 2023 11:38:15 +0200 Subject: Connectionists: Postdoc/PhD position in sample-efficient probabilistic inference Message-ID: Dear all, I am looking for a postdoc or PhD student 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 3 (+1) years (PhD) or 2+1 years (postdoc) and will be filled as soon as possible, with a starting date in early 2024. The starting salary will depend on the position (PhD or postdoc) and previous qualifications and experience. Applications will be considered until the position is filled. Full ad: https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence/postdocphd-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 rsarkar at inf.ed.ac.uk Fri Nov 17 11:35:14 2023 From: rsarkar at inf.ed.ac.uk (Rik Sarkar) Date: Fri, 17 Nov 2023 16:35:14 +0000 Subject: Connectionists: PhD positions at Edinburgh in ML algorithms, optimization, privacy and other areas Message-ID: We are looking for PhD students at the University of Edinburgh for research focused on: * Machine learning and optimization algorithms * Generative AI and artificial data * Privacy, fairness and explainability * Topological and Geometric data analysis And other similar areas. For more details, see here: https://homepages.inf.ed.ac.uk/rsarkar/positions.html Please get in touch in the next few days for early application and funded opportunities. Rik ? Rik Sarkar Reader (Associate professor), School of Informatics The University of Edinburgh 10 Crichton street, IF 3.45 Edinburgh EH8 9AB Ph: +44 (0) 131 650 4444 rsarkar at inf.ed.ac.uk http://homepages.inf.ed.ac.uk/rsarkar/ 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: From elio.tuci at gmail.com Fri Nov 17 12:30:52 2023 From: elio.tuci at gmail.com (Elio Tuci) Date: Fri, 17 Nov 2023 18:30:52 +0100 Subject: Connectionists: CfP WIVACE 2024 - XVIII International Workshop on Artificial Life and Evolutionary Message-ID: Call for Papers: XVIII International Workshop on Artificial Life and Evolutionary Computation WIVACE2024 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 Notification of acceptance: August 9, 2024 Workshop: September 11-13, 2024 Submission of post-workshop version: 18 October 2024 Publication Details Workshopproceedings 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) 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 michael.furlong at uwaterloo.ca Fri Nov 17 14:56:52 2023 From: michael.furlong at uwaterloo.ca (Michael Furlong) Date: Fri, 17 Nov 2023 19:56:52 +0000 Subject: Connectionists: [Meetings] 2024 Nengo Summer School Call For Applications Message-ID: Dear colleagues, [All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 9th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/vRcN5-0wdQE We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: February 1, 2024*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modelling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. Loihi 1, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * model anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * and much more? Date and Location: June 2nd to June 14th, 2024 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Michael Furlong (michael.furlong at uwaterloo.ca). The school is partly supported by ABR, Inc. We look forward to hearing from you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From xavier.hinaut at inria.fr Sat Nov 18 01:22:05 2023 From: xavier.hinaut at inria.fr (Xavier Hinaut) Date: Fri, 17 Nov 2023 22:22:05 -0800 Subject: Connectionists: 6 months Master Internship - ReservoirGPT - Inria, Bordeaux, France Message-ID: <79D80A97-E547-493A-A4C0-9C701B5FC699@inria.fr> Please find below an offer for an intership from February/March to July/August 2024 in Mnemosyne team at Inria, Bordeaux, France # Title ReservoirGPT Large Language Model to help development with ReservoirPy # Keywords Machine Learning, Large Language Model, Recurrent Neural Network (RNN), Reservoir Computing, # Supervisors Xavier Hinaut, Researcher at Inria (Bordeaux, France) xavier.hinaut at inria.fr # Research team & internship location Mn?mosyne Team: Inria Bordeaux Sud-Ouest, LABRI & Institut des Maladies Neurod?g?n?ratives (Centre Broca Aquitaine, Carreire campus) https://team.inria.fr/mnemosyne # Introduction and scientific context ReservoirPy is a library developed in the Mnemosyne Inria team in Bordeaux, France. ReservoirPy is a simple user-friendly library based on Python scientific modules. It provides a flexible interface to implement efficient Reservoir Computing (RC) architectures with a particular focus on Echo State Networks (ESN). Advanced features of ReservoirPy allow to improve computation time efficiency on a simple laptop compared to basic Python implementation, with datasets of any size. Some of its features are: offline and online training, parallel implementation, sparse matrix computation, fast spectral initialization, advanced learning rules (e.g. Intrinsic Plasticity) etc. It also makes possible to easily create complex architectures with multiple reservoirs (e.g. deep reservoirs), readouts, and complex feedback loops. Moreover, graphical tools are included to easily explore hyperparameters with the help of the hyperopt library. It includes several tutorials exploring exotic architectures and examples of scientific papers reproduction. Moreover, graphical tools are included to easily explore hyperparameters with the help of the hyperopt library. ReservoirPy is available on GitHub: https://github.com/reservoirpy/reservoirpy with the open source MIT license, it includes a detailed documentation https://reservoirpy.readthedocs.io and a pypi package for easy installation. # Objectives This six-month Master?s spring 2024 internship is centered on the ambitious goal of developing a cutting-edge Large Language Model (LLM) based service, specifically tailored to assist in programming with the ReservoirPy library. The primary objective is to create an AI-powered tool that simplifies and enhances the coding experience for users working with reservoir computing. This involves not only integrating the LLM with ReservoirPy to provide real-time coding assistance and error correction, but also customizing the model to understand and effectively respond to industry-specific terminologies and queries. Through this project, the intern will contribute to a pioneering effort in AI-assisted coding, bridging the gap between advanced AI language capabilities and practical, domain-specific programming needs. # Required skills - Expertise in Python - Knowledge in software project management - Experience with ChatGPT and Large Language Model - General knowledge in machine learning (training procedure, evaluation, metrics, visualizations, Python tools...) is a plus - General knowledge about artificial neural networks # Applications Deadline: as soon as possible; as soon as a good application is received it will be considered. Please contact Xavier Hinaut for any questions, and send your application (CV + cover letter) (Email at the top of the internship proposal). References [1] Trouvain, N., & Hinaut, X. (2022). reservoirpy: A Simple and Flexible Reservoir Computing Tool in Python. [2] ? ReservoirPy ? https://github.com/reservoirpy/reservoirpy Xavier Hinaut Inria Research Scientist www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en --- Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy -------------- next part -------------- An HTML attachment was scrubbed... URL: From stevensequeira92 at hotmail.com Fri Nov 17 15:45:28 2023 From: stevensequeira92 at hotmail.com (steven gouveia) Date: Fri, 17 Nov 2023 20:45:28 +0000 Subject: Connectionists: =?iso-8859-1?q?7th_rTAIM_Seminar_-_Jaroslav_Mal?= =?iso-8859-1?q?=EDk_=28Uni=2E_Hradec_Kr=E1lov=E9=29_=7C_6_December_2023?= =?iso-8859-1?q?=2C_2=3A30pm-4=3A00pm_=28Lisbon_Time_Zone=29?= In-Reply-To: References: Message-ID: Dear All, I'm happy to share the details for the 7th rTAIM Monthly Seminar focused on the Ethics of Artificial Intelligence in Medicine in a broad sense. This seventh seminar will be focused on Explainability and AI in Medicine. Date: 6 December 2023 | 2:30pm-4:00pm (Lisbon Time Zone) Speaker: Jaroslav Mal?k (Uni. Hradec Kr?lov?) Title: Explanatory AI in Medicine: The Need for Pragmatics of XAI Abstract: The relationship between a clinician and a patient is built on trust, which ultimately rests on the transparency of medical methods. However, as neural networks (NNs) are employed in medicine, they prove problematic because NNs are opaque black-box systems. Thus, an explanatory gap is generated, undermining established trust between clinicians and patients. In this paper, I argue that to cross this gap, what is necessary is not only explainable AI (XAI) but also explanatory AI. A problem with current XAI methods is that they can, at best, provide causal How-explanations which only generate observations that do not get us to the underlying cause of an event. What is required is to understand the process of Why-explanations, which often involve counterfactual reasoning based on more basic observations. To do that, engaging with the clinical practice itself is necessary to formulate a standard for explanations. I will argue that when diagnosing, doctors often engage in selective abductive reasoning, where they hypothesise what might be the case depending on the available evidence. Therefore, a hypothesis-driven model of explanatory AI is required, which could be used to design an AI interpreter meant to provide more illuminating explanations of AI behaviour. I further argue that we must exploit the current rising transformer architecture paradigm. The reason is that transformer NNs have proven to be capable of the necessary abductive reasoning, alongside multi-modality and context-sensitivity, useful for human interpretable explanations. Short bio: Jaroslav Mal?k is a PhD candidate from the University of Hradec Kr?lov?. His philosophical work explores the intersection between philosophy of mind, philosophy of technology, and philosophical anthropology. He is currently concentrating on topics related to the ethics of AI, ranging from XAI to the alignment problem. . To attend via Zoom (free access): Link: https://videoconf-colibri.zoom.us/j/97214569655?pwd=ZjNnWEtRVVNERC9Zc3VqamdJc2ZqZz09 [ID: 972 1456 9655 | Password: 535459]. More info on the Seminars and recording of previous sessions: https://trustaimedicine.weebly.com/news.html [https://trustaimedicine.weebly.com/uploads/1/4/3/6/143685657/published/logo-final-no-background.png?1683133828] News rTAIM Seminars: Forthcoming: #7 | Jaroslav Mal?k (Uni. Hradec Kr?lov?) | 6 December 2023 | 2:30pm-4:00pm (Lisbon Time Zone) | "Explanatory AI in Medicine: The need for pragmatics of... trustaimedicine.weebly.com Thank you very much, Steven S. Gouveia Ph.D. (University of Minho) ex-PostDoc Fellow (Uni. Ottawa) & CEFH (Portuguese Catholic Uni., PT) Research Fellow (2023-2029) Mind, Language & Action Group (Uni. Porto, PT) Honorary Professor, Faculty of Medicine (Uni. Andr?s Bello, Chile) https://stevensgouveia.weebly.com (Books, papers, talks, etc) -------------- next part -------------- An HTML attachment was scrubbed... URL: From el-ghazali.talbi at univ-lille.fr Sun Nov 19 11:18:16 2023 From: el-ghazali.talbi at univ-lille.fr (El-Ghazali Talbi) Date: Sun, 19 Nov 2023 17:18:16 +0100 Subject: Connectionists: CFP OLA'2024 Optimization & Learning @Dubrovnik Message-ID: Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** ????????????????????????? OLA'2024 ????????? International Conference on Optimization and Learning ????????????????????????? 13-15 May 2024 ????????????????????????? Dubrovnik, Croatia ??????????????? http://ola2024.sciencesconf.org/ ??????????????????? SCOPUS Springer Proceedings **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and/or machine learning methods and their applications. The conference OLA'2024 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2024 welcomes presentations that cover any aspects of optimization and/or machine learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: -?????? S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages -?????? S2: Original research contributions of a maximum of 12 pages Important dates: =============== Paper submission deadline???? Dec 16, 2023 Notification of acceptance??? Feb 09, 2024 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. Proceedings will be available at the conference. -- *********************************************************************** OLA'2024 International Conference on Optimization and Learning (SCOPUS, Springer) Dubrovnik, Croatia, May 13-15, 2024 https://ola2024.sciencesconf.org/ *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS From Donald.Adjeroh at mail.wvu.edu Sat Nov 18 12:34:01 2023 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sat, 18 Nov 2023 17:34:01 +0000 Subject: Connectionists: Call for Participation -- IEEE BIBM-LncRNA'23. See our array of speakers !! In-Reply-To: References: , , , , Message-ID: Apologies if you receive multiple copies ... --------------------------------------------------------------------------------------------------- The program for the 5th IEEE BIBM-LncRNA Workshop is now available. Please check the workshop webpage at: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ ---------------------------------------------------------------------------------------------------- Highlights: We have an exciting array of speakers for the workshop !! 2 Keynotes: * David Corey, PhD, UT Southwestern Medical Center Dallas, TX, USA * Sathyanarayanan V PuthanveettSathyanarayanan V PuthanveettilSathyanarayanan V Puthanveettil, PhD, University of Florida, Florida, USA 1 Plenary Talk: * Ranjan Perera, PhD, Johns Hopkins University School of Medicine, Baltimore, MD, USA 1 Invited Speaker: * Ivan Martinez, PhD, West Virginia University, Morgantown, WV, USA One "round-table" panel of experts in the field Presentation of accepted papers See our website: BIBM- LncRNA'2023: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ More details below .... The 5th IEEE BIBM Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2023 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023), Dec. 5 - 8, 2023, in Istanbul, Turkey. BIBM-LncRNA'2023 will be held on Dec 7, 2023. Please see the website below for the program schedule and speakers: BIBM-LncRNA'2023: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ IEEE BIBM 2023: https://ieeebibm.org/BIBM2023/ Fellowships: BIBM usually provides limited fellowships to support the participation of students, and of researchers from underrepresented minority groups at the conference. Please check with BIBM Program chairs, via the above website -- https://ieeebibm.org/BIBM2023/ Journal Special Issue: Pending final approval by the journal, authors of selected submissions will be invited to extend their papers for submission for review and possible publication in a special issue of the journal -- Non-Coding RNA. https://www.mdpi.com/journal/ncrna Important Dates: Dec 5-8, 2023: IEEE BIBM conference and workshops Dec: 7, BIBM-LncRNA Workshop BIBM-LncRNA'23 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From tat at tchumatchenko.de Sun Nov 19 09:12:33 2023 From: tat at tchumatchenko.de (Tatjana Tchumatchenko) Date: Sun, 19 Nov 2023 15:12:33 +0100 Subject: Connectionists: Master, PhD and postdoc positions in computational neuroscience at the University Medical Center Bonn Message-ID: <6fce9c83-03e4-4085-b2f3-10cac94bbeb5@tchumatchenko.de> Dear friends and colleagues, It would great if you could spread the word among your students and postdocs: My group now at the University of Bonn Medical Center is looking for Master, PhD Students and Postdocs. Scientifically, our focus in on model building and data analysis methods which we build in close collaborations with experimental labs world wide. We are one of the leading computational neuroscience teams in Europe and obtained competitive prizes and third party funding from the European Research Council, German Research Foundation and other funding schemes. Your role: *Postdoc position The postdoc candidate will be involved in a computational project addressing how neurons efficiently synthesize and distribute proteins in order to ensure that these are readily available across all synapses, will analyze data and model synaptic plasticity changes in order to understand health and disease states computationally. This work is centered on computational tools and includes pen-and-paper calculations, data analysis, and numerical simulations and requires an interdisciplinary mindset. *PhD position The PhD candidate will be conducting circuit level data analysis and modeling of neural activity states. He/she will contribute to the development of machine learning algorithms to analyse imaging data or to distinguish different behavioral activity states. This work is centered on dynamical systems methods, data analysis and numerical simulations and requires an interdisciplinary mindset. Master students interested in conducting Master thesis research (6-12 months) related to the two projects above a welcome to apply. Your profile *fluency in written and spoken English *very good interdisciplinary and interpersonal communication skills *Master or PhD degree (depending on position) in a quantitative field (incl. physics, mathematics, computer science, machine learning, computational biology, neuroscience, life-sciences etc.) with a clear motivation to make an impact in neuroscience and biology *very good understanding of computational methods *very good experience in programming *a clear motivation for interdisciplinary research and passion for science *ability to work independently and develop own ideas *commitment to contribute to a supportive, welcoming and friendly team spirit When applying please attach a CV (with a publication record) and a current copy of academic transcripts and mention at least one academic reference. We are an equal opportunity employer. Our goal is to increase the proportion of women in areas where women are underrepresented and to promote their careers. We therefore strongly encourage women with relevant qualifications to apply. Applications will be treated in accordance with the State Equal Opportunities Act. Applications from qualified candidates with proven severe disabilities and people of equal status are particularly welcome. Contact info:? Prof. Tatjana Tchumatchenko email: tatjana.tchumatchenko at uni-bonn.de www.tchumatchenko.de From georg.martius at tuebingen.mpg.de Mon Nov 20 02:47:41 2023 From: georg.martius at tuebingen.mpg.de (Georg Martius) Date: Mon, 20 Nov 2023 08:47:41 +0100 Subject: Connectionists: Two Max Planck Research Group Leader Openings in Robotics and Learning at MPI for Intelligent Systems, Stuttgart, Germany Message-ID: <6b18347e-d440-4db4-9512-87dd9a95a436@tuebingen.mpg.de> Dear colleagues, I am happy to announce two open group leader positions at the Max Planck Institute for Intelligent System, Germany (MPI-IS, https://is.mpg.de). These positions are similar to a professor position for 5 years, without teaching and without tenure. Working environment is all in English. Deadline January 7, 2024. Here the full job advert: The Max Planck Institute for Intelligent System (MPI-IS, https://is.mpg.de) seeks to understand the principles of perception, action, and learning in autonomous systems that successfully interact with complex environments, and to use this understanding to design artificial intelligent systems. We take a highly interdisciplinary approach that combines mathematics, computation, engineering, materials science, and biology. The Stuttgart site of the institute concentrates on physical realizations of intelligent systems, often with medical applications. We currently have departments in the broad fields of small-scale robotics (Metin Sitti), haptics (Katherine J. Kuchenbecker), and robotic materials (Christoph Keplinger), as well as independent research groups that emphasize soft actuation (Florian Hartmann), biological inspiration (Wenqi Hu), and human organizations (Ksenia Keplinger). The closely connected T?bingen site of our institute pursues outstanding research in machine learning, computer vision, and related topics. MPI-IS is a founding partner of Cyber Valley (https://cyber-valley.de/en), a research consortium in artificial intelligence and robotics that enables researchers to closely collaborate with startups and industry. We are looking for outstanding candidates in the field of intelligent systems to establish up to two new independent research groups at our institute's Stuttgart site in beautiful southern Germany. The closing date for applications is January 7, 2024. Top applicants will be invited to an in-person selection symposium with public talks on Tuesday, February 27, and private interviews on February 28, 2024. (Please mark your calendar for the talks!) Potential areas of research can include, but are not limited to, the following: Robotics, all areas, especially ? Soft robotics ? Bioinspired or biohybrid robotics ? Physical intelligence at all length scales ? Robotic materials ? Electronic skin and stretchable electronics ? Sustainable robots ? Intelligent driving and power electronics for untethered robots Human-Machine Interaction (HMI), including ? Human-robot interaction (HRI) ? Wearable robots ? Haptic interfaces ? Social aspects of intelligent systems ? Intelligent systems for diversity, equity, and inclusion (DEI) Robotics for Healthcare, including ? Medical robotics ? Novel medical devices ? Surgical robotics ? Rehabilitation robotics Learning Systems, including ? Robot learning ? Machine learning (ML) ? Computer vision (CV) ? Intelligent control systems Max Planck Research Group Leader positions offer individuals holding a doctoral degree an excellent springboard to high-level scientific positions. Candidates should have a strong international track record of creative research. Successful applicants will be able to establish an internationally visible research program of their own design within our institute. To help them recruit and mentor doctoral students, they will be nominated as faculty in the International Max Planck Research School on Intelligent Systems (IMPRS-IS, https://imprs.is.mpg.de). The salary package is based on the W2 remuneration group of the German Federal Civil Service Remuneration Act (Bundesbesoldungsgesetz ? BBesG). Successful candidates will enjoy an independent principal investigator status within the institute. Group leaders are provided with considerable funding for personnel, equipment, and running costs, which enables them to focus the bulk of their energy on their research. Group leaders and their group members also benefit from the infrastructure and administration of MPI-IS. Each Max Planck Research Group is initially funded for a term of six years. Depending on research progress, and taking funding possibilities and labor legislation into account, a group leader?s employment contract can be extended by three years at most once, on an individual basis according to scientific criteria and after a positive evaluation. The Max Planck Institute for Intelligent Systems is an equal-opportunity employer dedicated to excellence through diversity and does not discriminate on the basis of age, race, sex, disability, sexual orientation, national origin, religion, marital status, gender identity, or any other non-job-related criteria. MPI-IS recognizes the importance of a multicultural community of students, faculty, and staff who seek to advance our commitment to diversity. We are committed to attracting and retaining diverse staff and will honor each individual?s experiences, perspectives, and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming. The Max Planck Society wishes to increase the number of women in those areas where they are underrepresented; women are therefore explicitly encouraged to apply. The Max Planck Society is committed to increasing the number of employees with severe disabilities in its workforce; applications from persons with severe disabilities are expressly desired. Applications should contain a short cover letter; a three-page research statement describing your past, present, and future research activities; a one-page diversity statement describing your experiences and commitments to diversity; and a CV including your full list of publications. All documents should be prepared in English and should be submitted as a single pdf file through our online application system before 23:59 CET on January 7, 2024 (firm deadline): https://url.is.mpg.de/apply-mpi-is-stuttgart-2023 In addition, three reference letters must be submitted directly by the referees. After you have registered in our online application system, you will receive further information about how these letters should be submitted. The full details of this job opening are also available online: https://is.mpg.de/jobs/research-group-leader-stuttgart Should you have any questions about this exciting opportunity, please feel free to write to Katherine J. Kuchenbecker at kjk at is.mpg.de. From chrha at itu.dk Mon Nov 20 10:25:47 2023 From: chrha at itu.dk (Christian Hardmeier) Date: Mon, 20 Nov 2023 15:25:47 +0000 Subject: Connectionists: Deadline approaching: Assistant/associate professor in NLP, ITU Copenhagen Message-ID: <767F7A3D-7506-4421-8C67-78F85CA0F01C@itu.dk> Assistant/Associate Professor in Natural Language Processing IT University of Copenhagen Application deadline: 26 November 2023 The computer science department at the IT University of Copenhagen is recruiting a new faculty member to join the natural language processing group. Candidates from any background and all areas of natural language processing are very welcome to apply! ITU is a small university with a motivated and engaged student community in Copenhagen, a city that consistently ranks as one of the most livable places in the world. If you have any questions, don?t hesitate to get in touch with me: chrha at itu.dk More information and application link in the official job posting: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181636&DepartmentId=3439&MediaId=5 Website of the NLP group at ITU: https://nlpnorth.github.io/ -- Christian Hardmeier, Associate Professor ? https://christianhardmeier.rax.ch/ IT University of Copenhagen, Department of Computer Science -------------- next part -------------- An HTML attachment was scrubbed... URL: From paolo.dini at cttc.es Mon Nov 20 03:53:50 2023 From: paolo.dini at cttc.es (Paolo Dini) Date: Mon, 20 Nov 2023 09:53:50 +0100 Subject: Connectionists: CFP 3rd Workshop on Pervasive and Resource Constraints Artificial Intelligence (PeRConAI) **DEADLINE EXTENDED** In-Reply-To: References: Message-ID: <1532b095-a21d-4579-b3f1-862d878a4cc2@cttc.es> Workshop website: https://perconai.iit.cnr.it/ Main conference: https://www.percom.org/call-for-papers/ _Important Dates_ *Paper submission deadline [extended]: December 01, 2023 (AoE)* ??? Notification of acceptance: January 8, 2024 ??? Camera-ready deadline: February 2, 2024 Best regards, ??? paolo -------- Forwarded Message -------- Subject: CFP 3rd Workshop on Pervasive and Resource Constraints Artificial Intelligence (PeRConAI) Date: Fri, 4 Aug 2023 10:57:20 +0200 From: Paolo Dini To: connectionists at mailman.srv.cs.cmu.edu 3rd IEEE Workshop on Pervasive and Resource-constrained Artificial Intelligence (PeRConAI) co-located with IEEE PerCom 2024, March 11-15 2024, Biarritz, France Website:http://perconai.iit.cnr.it Email contact for info:perconai at iit.cnr.it This year?s PeRConAI enjoys the joint technical co-sponsorship of the CHIST-ERA SAI (https://www.sai-project.eu/) and SONATA (https://sonata.cttc.es) projects. Important dates --------------- * Paper submission deadline: November 17th, 2023 * Paper notification: January 8th, 2024 Call for Papers --------------- PeRConAI will focus on solutions contributing towards advancing truly pervasive and liquid AI enabling edge devices, regardless of their available resources, to accomplish training and inference under full, weak, or no supervision. The increasing pervasiveness of edge devices and the high availability, velocity, and volatility of data generated and collected at the edge of the internet are pushing towards a paradigm shift in the design of AI-based systems. AI systems are moving the execution of both training and inference tasks from powerful and remote data centres where all data is available in a centralized fashion to more pervasive and distributed/decentralized systems at the edge of the internet, working in proximity to where data is physically generated and/or collected. The design of edge AI systems must leverage the collaboration of several heterogeneous devices working in a highly dynamic context both in terms of processing capabilities and connectivity. Beyond resource limitations, data locally collected or generated by devices might statistically differ from one device to another, even if collected by the same application or belonging to the same phenomenon. Finally, human intervention in the AI process is still predominant, especially in its initial phases, e.g., data preparation, labelling, and pre-processing, thus limiting the necessary speed up to make AI truly pervasive. Topics of interest ------------------ The PeRConAI workshop aims at fostering the development and circulation of new ideas and research directions on pervasive and resource-constrained AI/ML, bringing together practitioners and researchers working on the intersection between pervasive computing and machine learning. The PeRConAI workshop solicits contributions on, but not limited to, the following topics: ** Foundations of Advanced Machine learning algorithms and methods for pervasive systems subject to resource limitations addressing the following open challenges: - Distributed/decentralized Machine Learning for resource-constrained devices (e.g., resource-efficient federated learning); - Lightweight ML models for on-device training/inference in pervasive computing (e.g., GRU, ELM, MHN, etc.); - Sustainable AI through new, brain- and bio-inspired ML algorithms exploiting energy-efficient hardware, e.g., FPGA, Neuromorphic HW; - Compression of deep learning models for real-time inference - Privacy-preserving distributed/decentralized learning in pervasive and resource-constrained scenarios; - Trustworthiness of distributed/decentralized learning systems in pervasive and resource-constrained scenarios; - Semi-supervised and self-supervised learning systems in pervasive and resource-constrained scenarios; - Learning with imbalanced data in pervasive and resource-constrained scenarios; - Continual learning in pervasive and resource-constrained scenarios; Over-the-air computing for distributed/decentralized learning systems in pervasive and resource-constrained scenarios. ** Applications of Advanced Machine learning algorithms, methods, and approaches for pervasive computing under resource limitations applied to the following application domains: - Health and well-being applications (e.g. activity recognition, health monitoring). - Anomaly/Novelty detection (e.g. Industry 4.0, intrusion detection, privacy, and security). - Audio signal processing (e.g., sound event detection, speech recognition/processing). - Video stream processing on resource-constrained devices. - Natural Language Processing and Information Retrieval (e.g. conversational applications running on resource-constrained, mobile, or edge devices). - Intersection between mobile computing with ML/DL on resource-constrained devices. - Any other real-world applications and case studies where the pervasiveness of resource-constrained devices is central for knowledge extraction. Submissions Guidelines ---------------------- All papers must be at most 6 pages of technical content, typeset in double-column IEEE format using 10pt fonts on US letter paper, with all fonts embedded. As for the main conference, in PeRConAI the peer-review process will be double-blind. Therefore, the paper must not contain names, affiliations or any other reference to the authors. Submissions must be made via EDAS. The IEEE LaTeX and Microsoft Word templates, as well as related information, can be found on the IEEE Computer Society website. PeRConAI will be held in conjunction with IEEE PerCom 2024 (https://www.percom.org). All accepted papers will be included in the Percom workshops proceedings and included and indexed in the IEEEXplore digital library. At least one author will be required to have a full registration at the PerCom 2024 conference and present the paper during the workshop. Submission link:https://perconai2024.edas.info/N31008 Organising committee -------------------- Prof. Plamen Angelov, Lancaster University, UK Prof. Mario Luca Bernardi, University of Sannio, IT Dr. Paolo Dini, CTTC, ES Dr. Franco Maria Nardini, ISTI-CNR, IT Prof. Riccardo Pecori, eCampus University, IT and IMEM-CNR, IT Dr. Lorenzo Valerio, IIT-CNR, IT -- *Paolo Dini* Senior researcher (R3) ** Sustainable Artificial Intelligence (SAI) research unit Centre Tecnol?gic de Telecomunicacions de Catalunya (CTTC) Av. Carl Friedrich Gauss, 7 - Building B4 08860 - Castelldefels Tel.: +34 93 645 29 00 _DATA PROTECTION INFORMATION. Data controller: CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA (G62616586):_ We inform you that your identification data and the data contained in the emails and attached files can be incorporated into our databases, in order to maintain professional and / or commercial relationships, and that it will be preserved throughout the relationship. According to the current regulations, you can exercise your right to access, rectification, erasure, restriction of processing, to portability and to object by sending an email to dpo at cttc.cat. This message and any attached document, where appropriate, may be confidential and intended for the original recipient only. L'informem que les seves dades identificatives i les compreses als correus electr?nics i fitxers adjunts poden ser incorporades a les nostres bases de dades amb la finalitat de mantenir relacions professionals i/o comercials i, que seran conservades mentre es mantingui aquesta relaci?. Si ho desitja, pot exercir el seu dret d'acc?s, rectificaci?, supressi?, limitaci? del tractament, portabilitat i objecci? enviant un correu electr?nic a dpo at cttc.cat. Aquest missatge i qualsevol document adjunt, en el seu cas, pot ser confidencial i destinat ?nicament a la persona o entitat a qui s'hagi enviat. Before printing this e-mail or attachments, be sure it is necessary. 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URL: From bbiancardi at cesi.fr Mon Nov 20 06:04:11 2023 From: bbiancardi at cesi.fr (BIANCARDI Beatrice) Date: Mon, 20 Nov 2023 11:04:11 +0000 Subject: Connectionists: AVI 2024 Advanced Visual Interfaces - 2nd Call for Workshop and Tutorial Proposals In-Reply-To: References: Message-ID: CfP AVI 2024 Advanced Visual Interfaces - 2nd Call for Workshop and Tutorial Proposals International Conference on Advanced Visual Interfaces ================================================= 3-7 June 2024 Genoa, Italy https://avi2024.dibris.unige.it ================================================= IMPORTANT DATES Workshop and tutorial proposals: - Friday, December 1, 2023 (23:59, AoE) Submission webpage: https://easychair.org/conferences/?conf=avi2024 --------------------------------------------------------------------------- WORKSHOP PROPOSALS We invite proposals for workshops to be held on June 3-4, 2024, in conjunction with the International Conference on Advanced Visual Interfaces (AVI 2024). We invite proposals for workshops in all the areas related to Advanced Visual Interfaces and Human-Computer Interaction. Workshop proposals must be submitted following the instructions on: https://avi2024.dibris.unige.it/calls TUTORIAL PROPOSALS We encourage the proposal of tutorials on new and emerging topics or, conversely, consolidated topics related to Advanced Visual Interfaces and HCI approaches, methodologies, or technologies. The selected tutorials will be held on the first or last day of the conference and Doctoral Consortium students will be invited to participate in them. Tutorial proposals must be submitted following the instructions on: https://avi2024.dibris.unige.it/calls Workshop & Tutorial Chairs - Ignacio Aedo, Universidad Carlos III de Madrid - Rosella Gennari, Free University of Bozen-Bolzano --------------------------------------------------------------------------- International Conference on Advanced Visual Interfaces (AVI) Since 1992, AVI has been a biennial appointment for a vast international community of experts with a broad range of backgrounds. Throughout three decades, the Conference has attracted leading researchers of Human-Computer Interaction (HCI) from all over the world, offering a forum to present and disseminate new technological results, paradigms, and visions for HCI and user interfaces. Because of advanced technology and new possibilities for user interaction, AVI has broadened the topics it covers, still keeping its primary focus on the conception, design, implementation, and evaluation of novel visual interfaces. While rooted in Italy, AVI is an actual international conference concerning the nationality of participants, authors of papers, and program committee members. The mixture of carefully selected research contributions paired with cordial Italian hospitality creates a unique conference atmosphere, which has made AVI an internationally recognized brand. AVI 2024 is under the patronage of University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering, Italy. We look forward to your participation in AVI 2024! Cristina Conati, AVI 2024 General Chair Gulatiero Volpe, AVI 2024 General Chair Ilaria Torre, AVI 2024 Program Chair --------------------------------------------------------------------------- TOPICS Topics of interest include (but are not limited to) the following: Adaptive and Context-Aware Interfaces Affective Visual Interfaces Computer Supported Cooperative Work Conversational Interfaces Full-body Interaction Human-AI Interaction Information Visualization Intelligent Interfaces Engineering of Visual Interfaces and Interaction Interaction Design Tools Building Interactions: Hardware, Materials, and Fabrication Interaction for the environment and environmental awareness Interface Metaphors Interfaces for Automotive Interfaces for Big Data Interfaces for e-Commerce and e-Branding Interfaces for e-Culture and e-Tourism Interfaces for End-User Development Interfaces for i-TV Interfaces for Recommender Systems Interfaces for Social Interaction and Cooperation Interfaces and Interactions for Inclusion, Accessibility and Aging Interfaces for Children Learning, Education, and Families Mobile Interaction Motion-based Interaction Multimodal Interfaces (Multi)Sensory Interfaces (Multi)Touch Interaction Search Interfaces Shape-Changing Devices User Interfaces for the Internet of Things Usability and Accessibility Usability and (Cyber)Security Virtual and Augmented Reality Visual Analytics --------------------------------------------------------------------------- AVI 2024 ORGANIZING COMMITTEE General Chairs Cristina Conati, University of British Columbia, Vancouver Gualtiero Volpe, University of Genoa Program Chair Ilaria Torre, University of Genoa Long Papers Chairs Giuseppe Desolda, University of Bari Michail Giannakos, Norwegian University of Science and Technology Short Papers Chairs Elisabetta Bevacqua, National Engineering School of Brest Maurizio Mancini, Sapienza University of Rome Workshop & Tutorial Chairs Ignacio Aedo, Universidad Carlos III de Madrid Rosella Gennari, Free University of Bozen-Bolzano Poster Chairs Masood Masoodian, Aalto University Giovanna Varni, University of Trento Demo Chairs Radoslaw Niewiadomski, University of Genoa Fabiana Vernero, University of Turin Doctoral Consortium Chair Fabio Patern?, CNR ISTI Giuliana Vitiello, University of Salerno Publicity Chairs Beatrice Biancardi, LINEACT CESI Federica Delprino, University of Genoa Proceedings Chairs Eleonora Ceccaldi, University of Genoa Cigdem Beyan, University of Trento Web Chair Paola Barra, University of Naples Parthenope AVI STEERING COMMITTEE Paolo Bottoni, Sapienza University of Rome, Italy Paolo Buono University of Bari, Italy Tiziana Catarci Sapienza University of Rome, Italy Maria Francesca Costabile University of Bari, Italy Maristella Matera Polytechnic of Milan, Italy Massimo Mecella Sapienza University of Rome, Italy Kent Norman University of Maryland, USA Emanuele Panizzi, Sapienza University of Rome, Italy Genny Tortora University of Salerno, Italy Giuliana Vitiello University of Salerno, Italy Marco Winckler Universit? C?te d'Azur, France --------------------------------------------------------------------------- [cid:image001.png at 01DA1BA4.949CEE30] Beatrice BIANCARDI Enseignante-Chercheure LINEACT CESI bbiancardi at cesi.fr https://sites.google.com/view/beatricebiancardi/home Tel : +33 (0)6 71 62 50 45 93 boulevard de La Seine CS 40177 - 92006 Nanterre cedex [cid:image002.png at 01DA1BA4.949CEE30] [cid:image003.png at 01DA1BA4.949CEE30] [cid:image004.png at 01DA1BA4.949CEE30] [cid:image005.png at 01DA1BA4.949CEE30] [cid:image006.png at 01DA1BA4.949CEE30] cesi.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 3532 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image006.png Type: image/png Size: 466 bytes Desc: image006.png URL: From julius.von.kuegelgen at tuebingen.mpg.de Mon Nov 20 07:36:42 2023 From: julius.von.kuegelgen at tuebingen.mpg.de (=?UTF-8?Q?Julius_von_K=C3=BCgelgen?=) Date: Mon, 20 Nov 2023 13:36:42 +0100 Subject: Connectionists: Cambridge - Tuebingen PhD Fellowships in Machine Learning Message-ID: *Cambridge-T?bingen PhD Fellowships in Machine Learning* The University of Cambridge Machine Learning Group and the Max Planck Institute for Intelligent Systems Empirical Inference Department in T?bingen are two of the world?s leading centres for machine learning research. In 2014, we launched a new and exciting initiative whereby a small group of select PhD candidates are jointly supervised at both institutions. The principal supervisors are Carl Rasmussen, Neil Lawrence, Ferenc Huszar, Jose Miguel Hernandez-Lobato, David Krueger, Adrian Weller and Rika Antonova at Cambridge University, and Bernhard Sch?lkopf and other research group leaders at the Max Planck Institute in T?bingen. This program is specific for candidates whose research interests are well-matched to both the principal supervisors in Cambridge and the MPI for Intelligent Systems in Tuebingen. This is a unique programme, and admission in the last years was highly competitive. We encourage applications from outstanding candidates with academic backgrounds in Mathematics, Physics, Computer Science, Engineering and related fields, and a keen interest in doing basic research in machine learning and its scientific applications. There are no additional restrictions on the topic of the PhD but for further information on our current research areas please consult our webpages at http://mlg.eng.cam.ac.uk, https://mlatcl.github.io and http://ei.is.tuebingen.mpg.de . The overall duration of the PhD will be four years, with roughly three years spent at one location, and one year spent at the other location, including initial coursework at the University of Cambridge. Successful PhDs will be officially granted by the University of Cambridge. Applications to the Cambridge ? T?bingen PhD Fellowships should be made by first applying to the Cambridge PhD programme in Advanced Machine Learning as described here: https://mlg.eng.cam.ac.uk/phd_programme_in_advanced_machine_learning/ Applicants should also make sure that they apply for ?Cambridge Trusts?, ?Gates Cambridge?, and ?Other Research Councils? funding by ticking the relevant boxes in the application form. Applicants from Europe don?t need an employment visa, for those who apply from non-EU countries it is necessary to inform themselves at the embassy of their country about visa procedures. Once you have completed the application to the Cambridge PhD Programme, and before actually submitting it, you should download the application and send a copy to camtue at is.mpg.de. It is important to download the application before submitting it through the academic portal because the application is no longer available once it is submitted. Please use the subject line ?Cambridge-Tuebingen PhD fellowship? in your email to camtue at is.mpg.de. Please arrange for a CV, a motivation letter, BSc. and MSc. transcripts, and two reference letters of your application to the Cambridge PhD programme in Advanced Machine Learning to be sent also to camtue at is.mpg.de. The hard deadline for formal applications is noon December 5, 2023 Interviews will take place in January 2024. The University of Cambridge is committed in its pursuit of academic excellence to equality of opportunity and to a proactive and inclusive approach to equality, which supports and encourages all under-represented groups, promotes an inclusive culture, and values diversity. The Max-Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. We look forward to receiving your applications. Carl Rasmussen Bernhard Sch?lkopf University of Cambridge Max Planck Institute for Intelligent Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Mon Nov 20 08:26:35 2023 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Mon, 20 Nov 2023 13:26:35 +0000 Subject: Connectionists: Fully-funded PhD in machine-learning for analysing subject's decisions (Nottingham, UK) In-Reply-To: References: Message-ID: A fully-funded PhD is available with Dr Silvia Maggi and Professor Mark Humphries (University of Nottingham) and Dr Hazem Toutonji (University of Sheffield). Decision-making happens in dynamic environments. Understanding how subjects respond to such a fast-changing world requires approaches that can track subject's choice strategies at the resolution of single trials. We recently developed a Bayesian inference algorithm (Maggi et al., 2023, bioRxiv) that enables trial-resolution tracking of learning and exploration during learning. This project will build on this work to solve crucial problems of determining which of a set of behavioural strategies a subject is using and how to incorporate evidence uncertainty into its detection of the learning of strategies and transitions between them. Using the extended algorithm on datasets of rodents and humans performing decision tasks will let us test a range of hypotheses for how correct decisions are learnt and what innate strategies are used. Application deadline: November 30th 2023 PhD start date: February 1st 2024 Please send all queries to Silvia (silvia.maggi at nottingham.ac.uk) or Mark (mark.humphries at nottingham.ac.uk) Full details and how to apply here: https://www.findaphd.com/phds/project/cognitive-flexibility-in-dynamic-decision-making-unravelling-neurobehavioral-strategies/?p161602 Professor Mark Humphries | Professor of Computational Neuroscience Lab: humphries-lab.org Twitter: @markdhumphries Public blog: https://medium.com/the-spike Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) out now in paperback: https://press.princeton.edu/books/paperback/9780691241487/the-spike 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 nsmattei at gmail.com Mon Nov 20 12:23:16 2023 From: nsmattei at gmail.com (Nicholas Mattei) Date: Mon, 20 Nov 2023 11:23:16 -0600 Subject: Connectionists: Call for Nominations: ACM/SIGAI Autonomous Agents Research Award Message-ID: [Apologies for Multiple Postings] Nominations are solicited for the 2024 ACM SIGAI Autonomous Agents Research Award. This award is made for excellence in research in the area of autonomous agents. It is intended to recognize researchers in autonomous agents whose current work is an important influence on the field. The award is an official ACM award, funded by an endowment created by ACM SIGAI from the proceeds of previous Autonomous Agents conferences. The recipient of the award will receive a monetary prize and a certificate, and will be invited to present a plenary talk at the AAMAS 2024 conference. How to Nominate Anyone can make a nomination. Nominations should be made by filling out the below google form, and should consist of a short (< 1 page) statement that emphasizes not only the research contributions that the individual has made that merit the award but also how the individual?s current work is an important influence on the field. NOTE: a candidate can only be considered for the award if they are explicitly nominated. If you believe that someone deserves the award, then NOMINATE THEM ? don?t assume that somebody else will! For any questions please contact Manuela Veloso (Award Chair, mmv at cs.cmu.edu) or Nicholas Mattei (SIGAI Vice Chair, nsmattei at gmail.com). Nomination Link: https://forms.gle/Fg4StTpk85sNKmdt5 Important Dates - 15 December 2023 ? Deadline for nominations - 30 January 2024 ? Announcement of winner - 6 ? 10 May 2024 ? AAMAS-2024 conference in Auckland, New Zealand --Nick -- *Nicholas Mattei* Assistant Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 305B +1 504 865 5782 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From lorenzo.fontolan at gmail.com Mon Nov 20 17:32:04 2023 From: lorenzo.fontolan at gmail.com (Lorenzo Fontolan) Date: Mon, 20 Nov 2023 23:32:04 +0100 Subject: Connectionists: Available Postdoc and PhD positions in computational neuroscience Message-ID: *Institut de Neurobiologie de la M?diterran?e (INMED), Aix-Marseille University* The *Neural computation and dynamics* group led by Lorenzo Fontolan is seeking a postdoc and a Ph.D. student to join the lab. The projects are funded by the Turing Centre for Living Systems (CENTURI) at Aix-Marseille University, France. The selected candidates will develop computational models of brain circuits and/or cutting-edge analysis tools for the analysis of neural data, drawing inspiration from dynamical systems, physics, statistics, and machine learning. Research questions can be chosen from a range of topics ? such as neural dynamics, neural coding, memory & learning, biophysics of the neuron. The Fontolan lab collaborates with local and international research groups employing advanced experimental techniques such as calcium imaging, optogenetics, and in vivo electrophysiology. The positions are funded by The Turing Center for Living Systems (CENTURI), an interdisciplinary center that aims at deciphering the complexity of biological systems, gathering researchers from 20 different research institutes in biology, physics, mathematics, computer science and engineering. The recruited candidates will conduct their project at the *Institut de Neurobiologie de la M?diterran?e (Inmed). *Inmed, which accommodates more than 130 international researchers, is located inside the beautiful Luminy site of the Parc National des Calanques (Marseille). The Fontolan lab is also affiliated with the Center for Theoretical Physics here in Marseille. *Requirements*: Candidates with backgrounds in physics, mathematics, statistics, machine learning, computer science, and engineering are welcome to apply. The candidate should possess good mathematical and coding skills, plus the ability to think critically. In the Fontolan lab we are committed to creating an inclusive environment open to individuals from different cultures, ethnicities, and socio-economic backgrounds. Candidates should send a CV, a statement of interests, and expected date of availability to: lorenzo.fontolan at inserm.fr *For more information see:* Neural computation and dynamics group https://www.inmed.fr/neural-computation-and-dynamics Ph.D. position https://academicpositions.fr/ad/aix-marseille-universite/2023/phd-position-in-neural-computation-and-dynamics-group/208153 Postdoc position https://academicpositions.fr/ad/aix-marseille-universite/2023/two-year-postdoc-position-in-neural-computation-and-dynamics-group/208152 Looking forward to hearing from you! Lorenzo Fontolan -- Group Leader *Turing Centre for Living Systems (CENTURI) Institut de Neurobiologie de la M?diterran?e & Centre de Physique Th?orique Universit? Aix-Marseille, France* *https://www.inmed.fr/neural-computation-and-dynamics * *https://centuri-livingsystems.org/l-fontolan/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Tue Nov 21 02:24:50 2023 From: info at icas.cc (ICAS Organizing Committee) Date: Tue, 21 Nov 2023 08:24:50 +0100 Subject: Connectionists: 1st CfP ACAIN 2024 - 4th Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Submission Deadline: March 23 Message-ID: Call for Participation & Call for Papers (apologies for multiple copies) _______________________________________________________________ The 4th International Advanced Course & Symposium 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/ Symposium Deadlines Paper Submission (Symposium): by Saturday March 23, 2024 (AoE). https://acain2024.icas.events/symposium-call-for-papers/ https://easychair.org/conferences/?conf=acain2024 Notification of Decision for Papers (Symposium): by Wednesday July 10, 2024. Camera Ready Submission (Symposium): by Monday July 20, 2024. Author Registration (Symposium): by July 20, 2024. Regular Registration (Symposium): by Saturday March 23, 2024. Late Registration (Symposium): from Sunday March 24, 2024. Course Deadlines Regular Registration (Course): by Saturday March 23, 2024. Late Registration (Course): from Sunday March 24, 2024. Oral Presentation Submission (Course): by Saturday March 23, 2024. Notification of Decision for Oral Presentation (Course): by August 31, 2024. SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 symposium and course 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 and Symposium 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. COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ SYMPOSIUM CALL FOR PAPERS: https://acain2024.icas.events/symposium-call-for-papers/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2024.icas.events/program-committee/ ORGANIZING COMMITTEE: https://acain2024.icas.events/symposium-committee/ 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 FB: https://www.facebook.com/ACAIN.LakeDistrict -- *7th Advanced Course on Data Science & Machine Learning - ACDL 2024,* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) ? Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by February 23, 2024 (AoE)* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. https://acdl2024.icas.events/ *10th International Conference on Learning, Optimization and Data ? LOD 2024, *22?25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2024.icas.events/ lod at icas.cc *Submission Deadline: March 23* *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 *Symposium Submission Deadline: March 23 * *Early Registration Deadline for the Course: March 23* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *ICAS* *-* *The Interdisciplinary Centre of Advanced Studies* https://icas.cc/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Tue Nov 21 02:45:34 2023 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 21 Nov 2023 13:15:34 +0530 Subject: Connectionists: Extn of deadline, ISMSI 2024 (Singapore) Message-ID: Dear Esteemed Colleagues, This is to share with you that on numerous requests, the deadline for submission of manuscripts for 2024 8th ISMSI, an annual global event of llCCl has been extended till 25th December, 2023 ttp://ismsi.org Hope you will avail this and submit, if not already, your research findings for possible presentations at ISMSI 2024 Thank you all and with warm regards, Suash Deb General Chair, ISMSI 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Tue Nov 21 09:54:58 2023 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Tue, 21 Nov 2023 15:54:58 +0100 Subject: Connectionists: Brenden Lake speaking on November 30 in Developing Minds global online lecture series Message-ID: <235250EF-E921-4B25-9D6E-EAC433C03607@fias.uni-frankfurt.de> Dear colleagues, On November 30, the Developing Minds global online lecture series will feature Brenden Lake from New York University, USA, speaking on "Addressing two classic debates in cognitive science with deep learning?. The live event will take place via zoom at: 10:30 am EST (Eastern Standard Time, US) 15:30 UTC (Universal Coordinated Time) 16:30 CET (Central European Time) 00:30 (Friday, December 1) JST (Japan Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract How can advances in machine learning best advance our understanding of human learning and development? In this talk, I'll describe two case studies using deep neural networks to address classic debates in cognitive science: 1) Can neural networks capture human-like systematic generalization? We address a 35-year-old debate started by Fodor and Pylyshyn, who argued that standard neural networks are not viable cognitive models because they lack systematic compositionality -- algebraic ability to understand and produce novel combinations from known components. We'll show how neural network *can* achieve human-like systematic generalization when trained through meta-learning for compositionality (MLC), a new method for optimizing the compositional skills of neural networks through practice. With MLC, a neural network can match human performance and inductive biases in a head-to-head comparison of artificial language learning. 2) What ingredients do children need to learn early vocabulary words? How much is learnable from sensory input with relatively general neural networks, and how much requires stronger inductive biases (e.g., innate knowledge, domain-specific constraints, social reasoning)? Using head-mounted video recordings from a single child (61 hours of video slices over 19 months), we show how a deep neural network an acquire many word-referent mappings, generalize to novel visual referents, and achieve multi-modal alignment. These results show how critical aspects of word meaning are learnable without strong inductive biases. Both findings emphasize the surprising power of neural network learners, even from child-scale training data, and their ability to shed new light on classical debates in cognitive science. Selected References ? Lake, B. M. and Baroni, M. (2023). Human-like systematic generalization through a meta-learning neural network. Nature, 623, 115-121. ? Orhan, A. E., and Lake, B. M. (accepted-in-principle). Learning high-level visual representations from a child?s perspective without strong inductive biases. Nature Machine Intelligence. ? Vong, W. K., Wang, W., Orhan, A. E., and Lake, B. M (under review). Grounded language acquisition through the eyes and ears of a single child. Email to request preprint. Short Bio Brenden M. Lake is an Assistant Professor of Psychology and Data Science at New York University. He received his M.S. and B.S. in Symbolic Systems from Stanford University in 2009, and his Ph.D. in Cognitive Science from MIT in 2014. He was a postdoctoral Data Science Fellow at NYU from 2014-2017. Brenden is a recipient of the Robert J. Glushko Prize for Outstanding Doctoral Dissertation in Cognitive Science, he is a MIT Technology Review Innovator Under 35, and his research was selected by Scientific American as one of the 10 most important advances of 2016. Brenden's research focuses on computational problems that are easier for people than they are for machines, such as learning new concepts, creating new concepts, learning-to-learn, and asking questions. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From ioannakoroni at csd.auth.gr Tue Nov 21 06:03:34 2023 From: ioannakoroni at csd.auth.gr (=?UTF-8?B?zpnPic6szr3Ovc6xIM6azr/Pgc+Ozr3Otw==?=) Date: Tue, 21 Nov 2023 13:03:34 +0200 Subject: Connectionists: AIIA/AIDA Winter School on Deep Learning, Big Data Analytics and Drone Imaging for Industrial Surveillance and Civil Protection Applications (free registration) In-Reply-To: References: Message-ID: <6076021b-0807-422e-af2d-d2809d2df860@csd.auth.gr> Dear AI/CS/ECEstudent/scientist/engineer/enthusiast, the Artificial Intelligence and Information Analysis (AIIA ) Lab of Aristotle University of Thessaloniki?(AUTH), in cooperation with the International AI Doctoral Academy (AIDA ),?offers the?hybrid (on-site, remote)?2023 ?*AIIA/AIDA Winter School on Deep Learning, Big Data Analytics and Drone Imaging for Industrial Surveillance and Civil Protection Applications *? comprising two short courses: 1. Short course on Deep Learning and Computer Vision for Industrial Infrastructure Inspection :?Drone Imaging for infrastructure inspection and surveillance, e.g., for damage detection in industrial pipelines and electrical installations. *12 December 2023*??a) on - site attendance in KEDEA ?building, AUTH, Thessaloniki, Greece?or b) remote participation via _Zoom _?(405011). Register in advance?in this course*for?fr**ee *through the above-mentioned short course www page . 2. Short course on Big Data Analytics for Natural Disaster Management :?Big Data Analytics for Natural Disaster Management (NDM), e.g., of forest fires and floods. In such cases, drone images are complemented with satellite images, meteorological data, maps and social media posts to form big data chunks that must be co-analyzed for efficient NDM. *13 December 2023 **??*a) on - site attendance in KEDEA ?building, AUTH, Thessaloniki, Greece?or b) remote participation via _Zoom _?(405011). Register in advance in this course*?for?free *through the above-mentioned short course www page . Prospective attendees can register in one or both short courses. Students/Scientists, Engineers from other scientific disciplines having the necessary mathematical background are also welcomed?to register. These short courses are organized by the Horizon Europe R&D projects _SIMAR _and TEMA , respectively. 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 -- This email has been checked for viruses by Avast antivirus software. www.avast.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From phitzler at googlemail.com Tue Nov 21 11:04:25 2023 From: phitzler at googlemail.com (Pascal Hitzler) Date: Tue, 21 Nov 2023 10:04:25 -0600 Subject: Connectionists: =?utf-8?q?Call_for_Participation_=28CfP=29_?= =?utf-8?q?=E2=80=94_AAAI_2024_Spring_Symposium_on_Empowering_Machine_Lear?= =?utf-8?q?ning_and_Large_Language_Models_with_Domain_and_Commonsense_Know?= =?utf-8?q?ledge_=28AAAI-MAKE_2024=29?= In-Reply-To: <905044246.2045473.1700234292899@office.hostpoint.ch> References: <905044246.2045473.1700234292899@office.hostpoint.ch> Message-ID: <9831a6a0-4032-4e9e-a998-0304f77a22a4@googlemail.com> Dear colleague, It is a pleasure to invite you to submit a paper to the AAAI 2024 Spring Symposium on Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (AAAI-MAKE 2024). The symposium is scheduled to be held on March 25-27, 2024, at Stanford University, Palo Alto, California, USA. We appreciate you sharing this Call for Participation (CfP) within your network and community. I am looking forward to seeing you at AAAI-MAKE 2024! On behalf of the organizing committee ? kind regards, Andreas Martin ??????????????? AAAI 2024 Spring Symposium on Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (AAAI-MAKE 2024) March 25-27, 2024 @ Stanford University, Palo Alto, California, USA https://www.aaai-make.info | *Submission: 7th of January 2024* /AAAI-MAKE 2024 brings together a diverse community of researchers, practitioners, and industry professionals from the fields of machine learning, knowledge engineering, and large language models (LLMs) to explore the synergy between these domains. The symposium aims to address the critical challenges of trustworthiness, interpretability, and the integration of commonsense reasoning in AI systems. Through a series of keynotes, paper presentations and discussions of the 2.5-day symposium, participants will delve into novel solutions empowering machine learning and large language models with domain and commonsense knowledge./ Topics and Format Key topics of discussion will include, but are not limited to: * Trustworthy and knowledge-based explainable AI * Evaluation of Commonsense Knowledge and Reasoning in Large Language Models * Commonsense Knowledge in Foundation and Large Language Models * Interpretability and Safety of Large Language Models with Commonsense Knowledge * Human-Centered AI, Dialogue Systems, and Conversational AI * Hybrid and Neurosymbolic AI * Combination of Knowledge Engineering and Machine Learning * Integration of Commonsense Knowledge Sources with LLMs and Downstream Tasks Since AAAI-MAKE 2024 is a dedicated symposium on empowering ML/LLMs with domain/commonsense knowledge, the contributions should address hybrid approaches. The symposium involves presentations of accepted papers, keynotes, (panel) discussions, and plenary sessions. Submission We solicit *full papers (6 to 8 pages)* and *position/short/poster papers (2 to 4 pages)* that can include recent or ongoing research, challenges with datasets, and surveys. All submissions must reflect the formatting instructions of the AAAI author kit (https://www.aaai-make.info/authors/) and be submitted through EasyChair (https://easychair.org/conferences/?conf=sss24). The invitation of contributors and presenters will be based on a rigorous single-blinded review of papers by the program committee. Accepted papers shall be published as part of the ?Proceedings of the AAAI Symposium Series? by the AAAI Library. Important Dates * *Submission: 7th of January 2024* * Notification: 31st of January 2024 * Camera-ready submission: 14th of February 2024 * Symposium: 25-27 of March 2024 Organizing Committee * Andreas Martin (primary contact), FHNW, Olten, Switzerland * Pedro A. Colon-Hernandez, Apple Inc., CA, USA * Maaike de Boer, TNO, The Hague, Netherlands * Aurona Gerber, University of the Western Cape, Cape Town, South Africa * Knut Hinkelmann, FHNW, Olten, Switzerland * Pascal Hitzler, Kansas State University, Manhattan, KS, USA * Jane Yung-jen Hsu, National Taiwan University, Taipei, Taiwan * Yen-Ling Kuo, University of Virginia, VA, USA * Xiang Lorraine Li, University of Pittsburgh, PA, USA * Thomas Schmid, Martin Luther University Halle-Wittenberg, Germany * Paulo Shakarian, Arizona State University, Tempe, AZ, USA * Reinhard Stolle, Argo AI GmbH, M?nchen, Germany * Frank van Harmelen, VU University, Amsterdam, Netherlands -- Pascal Hitzler Lloyd T. Smith Creativity in Engineering Chair Director, Center for AI and Data Science CAIDS Co-Director, Inst. for Digital Agriculture and Advanced Analytics 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 krallinger.martin at gmail.com Tue Nov 21 11:30:29 2023 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Tue, 21 Nov 2023 17:30:29 +0100 Subject: Connectionists: Two Open Positions: at NLP for Biomedical Information Analysis group (Barcelona Supercomputing Center (BSC), Spain) In-Reply-To: References: Message-ID: Dear colleagues, My group is currently seeking for two new positions (details below) I would really appreciate sharing to potential interested candidates or lists. Best regards, Martin *Context And Mission* The Natural Language Processing for Biomedical Information Analysis (NLP4BIA) group at BSC is an internationally renowned research group working on the development of NLP, language technology, and text-mining solutions applied primarily to biomedical and clinical data. It is a highly interdisciplinary team, funded through competitive European and National projects requiring the implementation of natural language processing and advanced AI solutions making use of diverse technologies, including Transformers and recent advances in Large Language Models (LLM) to improve healthcare data analysis. *Position 1* *Reference:* 514_23_LS_NLPBIA_RE1 *Job title:* Junior Research Engineer - NLP for Biomedical Information Analysis (RE1) *URL: **https://www.bsc.es/join-us/job-opportunities/51423lsnlpbiare1 * The NLP4BIA group at BSC is looking for a Software/Data Engineer or Full Stack Developer with an interest in learning technical aspects of Natural Language Processing, AI, and Language Models. The ideal candidate will be responsible for advancing a cutting-edge NLP platform, leveraging the use of state-of-the-art language technologies and NLP resources. This role involves collaboration with hospitals, research teams, and experts on both national and international scales to drive innovation in the field. *Key Duties* - Software Development: Create backend, frontend, and web services, along with web-based demos for NLP tools. - NLP platform Integration: Integrate existing NLP components into the CogStack platform for processing clinical and biomedical content. - Data Processing and Ingestion: Develop scripts for the ingestion, cleaning, and formatting of text data to make it appropriate for neural architectures. - Data Management: Organize and maintain data repositories in alignment with group and project requirements. - Documentation and Reporting: Create technical reports and project documentation in both English and Spanish. - Automated Data Annotation: Use existing state-of-the-art NLP tools to annotate data, improving operational efficiency autonomously. - In this role, the candidate will closely collaborate with AI/NLP experts of the team to define the technical requirements for running and deploying NLP components. You'll collaborate with them in writing research proposals and contributing to research scientific papers. Furthermore, your duties will include working with external teams to provide technical support related to tools used for data annotation and platform deployment, ensuring seamless project execution and interdisciplinary collaboration. *Position 2* *Reference:* 515_23_LS_NLPBIA_RE2 *Job title:* Research Engineer - NLP for Biomedical Information Analysis (RE2) *URL: https://www.bsc.es/join-us/job-opportunities/51523lsnlpbiare2 * The NLP4BIA-BSC is looking for a Research Engineer with experience in Language Technologies and Deep Learning. The candidate will be involved in technical work related to international projects, being part of a team of researchers working on topics related to multilingual information extraction in the clinical field, including Named-Entity Recognition, Entity Linking and Language Modeling. The candidate will have the opportunity to advance the state of the art of cross-lingual biomedical NLP methods by working in a multidisciplinary environment alongside linguists, medical experts, and other engineers. *Key Duties* - NLP model development: Development of multilingual information extraction models in the biomedical field, including mention extraction and linking of terms to controlled terminologies. Pre-training of cross-lingual large language models for healthcare. - Technical project coordination: Coordinate technical contributions from different partners in technological projects. - Documentation and Reporting: Create technical reports and project documentation in both English and Spanish - Scientific writing: Collaborate in drafting technical research proposals and writing scientific papers. *About BSC* The Barcelona Supercomputing Center - Centro Nacional de Supercomputaci?n (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 900 staff from 55 countries. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomc at cs.ru.nl Tue Nov 21 05:35:02 2023 From: tomc at cs.ru.nl (Tom Claassen) Date: Tue, 21 Nov 2023 11:35:02 +0100 Subject: Connectionists: PhD position on Interactive Causal Explanations for Patient-centric Personalised Health (1.0 FTE, 4yrs.) Message-ID: =========================================================== PhD position on Interactive Causal Explanations for Patient-centric Personalised Health (1.0 FTE, 4yrs.) Institution : Radboud University Nijmegen / TNO, Netherlands Keywords : causal inference, healthcare, explainable AI, machine learning Application deadline : 6 December 2023 Website : https://www.ru.nl/en/working-at/job-opportunities/phd-candidate-interactive-causal-explanations-for-patient-centric-personalised-health =========================================================== Summary Are you interested in applying state-of-the-art causal methods to support patient-centric healthcare? Do you want to work in an interdisciplinary environment collaborating with machine learning experts, cognitive scientists and medical specialists? If so, then this vacancy may be for you! Description Within our Personalised Care in Oncology (PersOn) consortium, we are looking for a talented PhD candidate to work on applying principled causal model inference to help patients make informed decisions about their preferred treatment alternatives. We will use modern explainability techniques, such as Causal Shapley values, to translate complex counterfactual predictions into patient-friendly, understandable information, allowing patients to explore the impact of different available treatments. Together with other PhD candidates and postdoctoral researchers in the consortium, you will help build an integrated causal model of the target oncological domain, and use that as a basis for answering interactive `what if' questions tailored to characteristics and preferences of individual patients. You will work with causal model experts, as well as with researchers, healthcare practitioners, and stakeholders in explainable decision support. Your contribution to the project will be both foundational, advancing the state of the art in personalised causal inference, and applied, focusing on user requirements in terms of explanation and justification to help advance shared decision making about personalised healthcare. We are: The position is part of a collaboration between the Data Science group in the Faculty of Science at the Radboud University, and the Microbiology and Systems Biology research group at the Dutch research institute TNO . Your home base will be the Data Science group, part of the vibrant and growing Institute for Computing and Information Sciences (iCIS) at Radboud University. The group's main research foci are 1) the design and understanding of deep/causal machine learning methods, 2) modern information retrieval and big data, and 3) computational immunology, with a keen eye on applications in other scientific domains, in particular healthcare, as well as industry. Our group currently consists of ca. 50 researchers, including 25 PhDs. In addition, you will work in the Microbiology and Systems Biology research group of the Health, Living and Work unit of the Netherlands Organisation for Applied Scientific Research (TNO), in close collaboration with the data science group of the ICT, Strategy & Policy unit that is working on solutions that enrich information systems and artificial intelligence (AI) with human knowledge and experience. The focus of this group is to optimise health and cure lifestyle-related disease from a systems biology view. The group is a very multidisciplinary team, including biologists, data scientists, bioinformaticians, etc. Both groups strongly promote an open, inclusive and supportive work environment. What we expect from you: You have an MSc degree in natural science, computer science, mathematics, or a related discipline. You have a strong interest in multidisciplinary research, especially on the interface between artificial intelligence and health. You are highly motivated, open-minded, and determined to obtain a PhD degree. As you will be working in two different research groups, you need to be flexible, communicative and able to work in a multidisciplinary team. For more information about this vacancy and details on how to apply, see the website (above), or contact: * Dr Tom Claassen, tel: +31 24 3652019, email: tom.claassen at ru.nl (iCIS) * Dr Jildau Bouwman, tel: +31 88 8661678, email: jildau.bouwman at tno.nl (TNO) =========================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From wolfram.schenck at hsbi.de Wed Nov 22 15:39:20 2023 From: wolfram.schenck at hsbi.de (Wolfram Schenck) Date: Wed, 22 Nov 2023 21:39:20 +0100 Subject: Connectionists: [JOBS] Post Doc for Sustainable, Reliable and Robust AI throughout the Life Cycle in the Context of Condition Monitoring In-Reply-To: References: Message-ID: <0168f187-5e6e-6bc8-6c9f-0b3c921e3192@hsbi.de> POSITION: Post Doc for Sustainable, Reliable and Robust AI throughout the Life Cycle in the Context of Condition Monitoring LOCATION: Bielefeld Campus | Aerzen, Germany ------------------------------------------------------------------------------- With more than 10,000 students, **Hochschule Bielefeld ? University of Applied Sciences and Arts (HSBI)** stands for highest standards in teaching, research and knowledge transfer. Its six faculties Design and Art, Minden Campus, Engineering and Mathematics, Social Sciences, Bielefeld School of Business and Health work in an interdisciplinary, research-based and closely linked manner. Regional and international cooperation as well as practised diversity and sustainability shape the work at the campuses in Bielefeld, Minden and G?tersloh. As part of the **?Career at BI?** project, in cooperation with **Lenze SE**, the Faculty of Engineering and Mathematics seeks to fill a tandem position as *** Post Doc for Sustainable, Reliable and Robust AI throughout the Life Cycle in the Context of Condition Monitoring *** to start immediately. Employment at HSBI will be as a lecturer for special assignments with the aim of enhancing your profile and qualifying for professorship at a university of applied sciences. As part of the employment, you will gain practical professional experience in the university context and get to know the diverse tasks of university routines. Accompanied by your mentor, you will add to your teaching and research experience, take part in qualification offers and thus enhance your profile for appointability as a professor at a university of applied sciences. As part of your employment at Lenze SE, you will gain practical experience outside HSBI. You will be part of an interdisciplinary team in pre-development/corporate research and develop AI-supported solutions for condition monitoring of machines and processes. In particular, the aim is to ensure that these solutions are robust, practical and suitable for long-term use. Using methods such as transfer learning, domain adaptation, drift detection and (data and knowledge-driven) hybrid modelling, you will design and implement workflows for machine learning with which this aim can be achieved. To collect data and validate the developed procedures, you will work on real machines and processes. As part of your employment with HSBI, you will be assigned to the cooperation partner for 10 hours per week. The employment will be 74.9% with HSBI and 25.1% with Lenze SE, with a majority of working hours spent at one of the locations in Bielefeld or ? preferably ? Aerzen. By agreement and depending on project progress, flexible work-on-the-move periods will be possible. Teaching can take place in compact courses or in hybrid format with regard to the project. ----------------------------------------------------------------------------------------------------------------- Tasks and responsibilities: Bielefeld Campus: - Teaching ? ? Preparing and conducting courses amounting to 4 to 6 weekly hours per semester at the Faculty of Engineering and Mathematics ? ? Providing students with support ? ? Taking written and oral examinations ? ? Supervising term papers and final theses - Research ? ? Independently conducting research in the subject area defined by the project ? ? Formulating new research questions in this area and developing an independent research profile ? ? Presenting research findings at academic conferences and as articles in scientific journals ? ? Contributing to the procurement of second-party and third-party funds ?Lenze SE: - Research and development in the field of AI-supported condition monitoring with a focus on sustainable, reliable and robust solutions that address the entire life cycle of AI applications - Implementation of the developed procedures on demonstrators and machines in production - Software development with a focus on AI and automation technology ---------------------------------------------------------------------------------------------------------------- Requirements: - Relevant university degree (Master of Science/Engineering or Diplom) in Computer Science, Applied Mathematics, Electrical Engineering, Mechatronics or a related discipline - Doctorate in one of the areas mentioned above related to machine learning - Advanced programming skills in Python and/or Matlab and common AI toolboxes - Very good knowledge of English - First experience in publishing scientific research findings in journals and at conferences - Communication skills, ability to work in a team and independent way of working ---------------------------------------------------------------------------------------------------------------- The ideal candidate should also bring: - First experience in planning and conducting courses - Basic knowledge of drive and automation technology - Willingness to participate in further training - Experience in project management - Active contribution to HSBI?s self-administration - Basic knowledge of German --------------------------------------------------------------------------------------------------------------- Benefits on Bielefeld Campus: - Depending on individual qualification and tasks, remuneration up to salary group E 14 TV-L (collective agreement of the federal state) - An opportunity for personal development preparing you for the next step in your career - Developing your competence in didactics and teaching - Research advice (F.I.TT. team and research managers of the faculties) for the development, submission and implementation of third-party applications and business projects - Support with open-access publications and research data management - Possibility to work on the move (by agreement with your supervisor) - Participation in continuing education offers - A variety of tasks at the interface between theory and practice - Supplementary pension provision - Extensive IT infrastructure - Work-life balance, supported by the university day-care facility and holiday care for schoolchildren - Good accessibility by public transport - Six faculties working together in interdisciplinary teams - Diverse partnerships and research cooperations in one of the most economically powerful regions in Germany - Work at a university that is open to the world and strongly oriented towards sustainability At Lenze SE: - Working at Lenze: https://www.lenze.com/en-de/company/careers/working-at-lenze --------------------------------------------------------------------------------------------------------------- Interested? We look forward to receiving your complete application stating the reference number 03327 by 5 December 2023 online only: https://app.hsbi.de/qisserver/rds?state=change&type=2&moduleParameter=bwmSearchResult&nextdir=sva/bwmsas&next=DetailView.vm&sas.sas_serial=1049&sqlmode=update&subdir=sva/bwm&comingfromselection=y&menuid=&P_anzahl=100&P_start=0&topitem=qissvaCareer&subitem=svabwmstellenuebersicht&termdisplayonly=y&view=1&asi= If you have any questions relating to the content of the position we offer, please contact: **Prof. Dr. Wolfram Schenck** wolfram.schenck[AT]hsbi.de or **Dr. Heiko Stichweh** heiko.stichweh[AT]lenze.com In addition, the faculty?s Gender and Diversity Officer **Dr. Elke Koppenrade** is available to answer your questions at all times at elke.koppenrade[AT]hsbi.de. Candidates are required to make sure that their fixed-term employment does not exceed the limits prescribed by the Wissenschaftszeitvertragsgesetz due to previous employments. Please find further information on the application procedure and on HSBI as an employer at at this link: https://www.hsbi.de/karriere. --------------------------------------------------------------------------------------------------------------- We expressly welcome applications submitted by women. Applications from women will be given preference in case of equal suitability, skills and professional performance, unless reasons concerning the person of another applicant predominate. Hochschule Bielefeld ? University of Applied Sciences and Arts has received multiple awards for its successes in promoting equal opportunities and has been certified as a family-friendly university. Women are particularly welcome to apply, especially in the field of research. HSBI processes applications in compliance with the Equal Opportunities Act of the State of North-Rhine Westphalia. Persons with severe disabilities are expressly encouraged to apply, too. Subject to other applicable laws, severely disabled applicants with equivalent qualifications will be given preferential consideration. --------------------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From wolfram.schenck at hsbi.de Wed Nov 22 15:54:35 2023 From: wolfram.schenck at hsbi.de (Wolfram Schenck) Date: Wed, 22 Nov 2023 21:54:35 +0100 Subject: Connectionists: [JOBS] Post Doc for Neuromarketing Based on Brain-Computer Interfaces and AI In-Reply-To: <0168f187-5e6e-6bc8-6c9f-0b3c921e3192@hsbi.de> References: <0168f187-5e6e-6bc8-6c9f-0b3c921e3192@hsbi.de> Message-ID: <4658fe08-a060-da10-4a45-60ad92cac5d6@hsbi.de> POSITION: Post Doc for Neuromarketing Based on Brain-Computer Interfaces and AI LOCATION: Bielefeld Campus | Bochum, Germany ------------------------------------------------------------------------------- With more than 10,000 students, **Hochschule Bielefeld ? University of Applied Sciences and Arts (HSBI)** stands for highest standards in teaching, research and knowledge transfer. Its six faculties Design and Art, Minden Campus, Engineering and Mathematics, Social Sciences, Bielefeld School of Business and Health work in an interdisciplinary, research-based and closely linked manner. Regional and international cooperation as well as practised diversity and sustainability shape the work at the campuses in Bielefeld, Minden and G?tersloh. As part of the **?Career at BI?** project, in cooperation with **SNAP GmbH**, the Faculty of Engineering and Mathematics seeks to fill a tandem position as *** Post Doc for Neuromarketing Based on Brain-Computer Interfaces and AI *** to start immediately. Employment at HSBI will be as a lecturer for special assignments with the aim of enhancing your profile and qualifying for professorship at a university of applied sciences. As part of the employment, you will gain practical professional experience in the university context and get to know the diverse tasks of university routines. Accompanied by your mentor, you will add to your teaching and research experience, take part in qualification offers and thus enhance your profile for appointability as a professor at a university of applied sciences. As part of your employment at SNAP GmbH, you will gain practical experience outside HSBI. You will be part of an interdisciplinary team and contribute to the development of brain-computer interfaces (BCI), which are to be used for neuromarketing. The focus will be on software development and signal processing, primarily using AI methods. To collect data and validate the developed procedures, you will conduct studies with test persons. The position will be 74.9% with HSBI and 25.1% with SNAP GmbH. As part of your employment with HSBI, you will be assigned to the cooperation partner for 10 hours per week. A majority of the working hours will be spent at one of the locations in Bielefeld or ? preferably ? Bochum. By agreement and depending on project progress, flexible work-on-the-move periods will be possible. Teaching can take place in compact courses or in hybrid format with regard to the project. ----------------------------------------------------------------------------------------------------------------- Tasks and responsibilities: Bielefeld Campus: - Teaching ? ? Preparing and conducting courses amounting to 4 to 6 weekly hours per semester at the Faculty of Engineering and Mathematics ? ? Providing students with support ? ? Taking written and oral examinations ? ? Supervising term papers and final theses - Research ? ? Independently conducting research in the subject area defined by the project ? ? Formulating new research questions in this area and developing an independent research profile ? ? Presenting research findings at academic conferences and as articles in scientific journals ? ? Contributing to the procurement of second-party and third-party funds ?SNAP GmbH: - Research and development in SNAP GmbH?s areas of activity ? ? Developing AI-based brain-computer interface systems ? ? Conducting the necessary experiments - Implementing software adaptations in the programming languages and standards used by SNAP GmbH ---------------------------------------------------------------------------------------------------------------- Requirements: - Relevant university degree (Master of Science/Engineering or Diplom) in Computer Science, Applied Mathematics, Cognitive or Neurosciences or a related discipline - Doctorate in one of the areas mentioned above related to machine learning - Advanced programming skills in Python and common AI frameworks - Very good knowledge of English - First experience in publishing scientific research findings in journals and at conferences - Communication skills, ability to work in a team and independent way of working ---------------------------------------------------------------------------------------------------------------- The ideal candidate should also bring: - First experience in planning and conducting courses - Willingness to participate in further training - Experience in project management - Active contribution to HSBI?s self-administration - Basic knowledge of German --------------------------------------------------------------------------------------------------------------- Benefits on Bielefeld Campus: - Depending on individual qualification and tasks, remuneration up to salary group E 14 TV-L (collective agreement of the federal state) - An opportunity for personal development preparing you for the next step in your career - Developing your competence in didactics and teaching - Research advice (F.I.TT. team and research managers of the faculties) for the development, submission and implementation of third-party applications and business projects - Support with open-access publications and research data management - Possibility to work on the move (by agreement with your supervisor) - Participation in continuing education offers - A variety of tasks at the interface between theory and practice - Supplementary pension provision - Extensive IT infrastructure - Work-life balance, supported by the university day-care facility and holiday care for schoolchildren - Good accessibility by public transport - Six faculties working together in interdisciplinary teams - Diverse partnerships and research cooperations in one of the most economically powerful regions in Germany - Work at a university that is open to the world and strongly oriented towards sustainability --------------------------------------------------------------------------------------------------------------- Interested? We look forward to receiving your complete application stating the reference number 03328 by 5 December 2023 online only: https://app.hsbi.de/qisserver/rds?state=change&type=2&moduleParameter=bwmSearchResult&nextdir=sva/bwmsas&next=DetailView.vm&sas.sas_serial=1050&sqlmode=update&subdir=sva/bwm&comingfromselection=y&menuid=&P_anzahl=100&P_start=0&topitem=qissvaCareer&subitem=svabwmstellenuebersicht.&termdisplayonly=y&view=1&asi= Please also send your application documents to Sinah Dittmann, SNAP GmbH, dittmann[AT]snap-gmbh.com. If you have any questions relating to the content of the position we offer, please contact: **Prof. Dr. Wolfram Schenck** wolfram.schenck[AT]hsbi.de or **Sinah Dittmann** dittmann[AT]snap-gmbh.com. In addition, the faculty?s Gender and Diversity Officer **Dr. Elke Koppenrade** is available to answer your questions at all times at elke.koppenrade[AT]hsbi.de. Candidates are required to make sure that their fixed-term employment does not exceed the limits prescribed by the Wissenschaftszeitvertragsgesetz due to previous employments. Please find further information on the application procedure and on HSBI as an employer at at this link: https://www.hsbi.de/karriere. --------------------------------------------------------------------------------------------------------------- We expressly welcome applications submitted by women. Applications from women will be given preference in case of equal suitability, skills and professional performance, unless reasons concerning the person of another applicant predominate. Hochschule Bielefeld ? University of Applied Sciences and Arts has received multiple awards for its successes in promoting equal opportunities and has been certified as a family-friendly university. Women are particularly welcome to apply, especially in the field of research. HSBI processes applications in compliance with the Equal Opportunities Act of the State of North-Rhine Westphalia. Persons with severe disabilities are expressly encouraged to apply, too. Subject to other applicable laws, severely disabled applicants with equivalent qualifications will be given preferential consideration. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Wed Nov 22 13:01:18 2023 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Wed, 22 Nov 2023 19:01:18 +0100 Subject: Connectionists: SIPTA seminar on the 28th November: Causality and credal networks. Message-ID: <79539CF9-F4AB-44F6-B690-1C2EFC9514C7@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 28th of November (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85152847934 For this new seminar, we are very happy to have Alessandro Antonucci as our speaker. Alessandro Antonucci is a senior researcher at IDSIA (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale) in Lugano. Alessandro is a very strong expert in uncertainty reasoning, focusing on graphical models, their inference and interpretation. Very well-known for his work on graphical models using imprecise probabilities, some of his most recent works explore the links between the notion of causality and imprecise probabilistic models. On the 28h of November, at 15:00 Paris time (up to 17:00, with a talk duration of 45min/1h), he will talk about "Structural Causal Models are (Solvable by) Credal Networks?. 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 28th of November, 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=mhKYP8BMQNM&t See you at the seminar! S?bastien, Enrique and Jasper From jojaram6 at gmail.com Thu Nov 23 10:09:58 2023 From: jojaram6 at gmail.com (Jorge Jaramillo) Date: Thu, 23 Nov 2023 16:09:58 +0100 Subject: Connectionists: Postdoctoral Fellows in Theoretical and Computational Neuroscience at the UChicago In-Reply-To: References: Message-ID: > > Dear connectionists community, > > > > https://neuroscience.uchicago.edu/postdoctoral-fellows-theoretical-and-computational-neuroscience > > The Grossman Center for Quantitative Biology and Human Behavior at the > University of Chicago seeks outstanding applicants for multiple > postdoctoral positions in computational and theoretical neuroscience. > Appointees will join as Grossman Center Postdoctoral Fellows, with the > freedom to work with any of its faculty members. We especially welcome > applicants who develop computational models and machine learning analysis > methods to study the brain at the circuits, systems, or cognitive levels. > The current faculty members of the Grossman Center to work with are: > (informal enquiries are welcome) > > Brent Doiron. The Theory of Neuronal Circuits lab investigates how the > cellular and synaptic circuitry of neuronal circuits supports the complex > dynamics and computations that are routinely observed in the brain. We use > techniques from dynamical systems theory, statistical mechanics, and > information theory to build and analyze cortical circuit models, often in > collaboration with experimental teams investigating visual, olfactory, > auditory, and decision-making cortices (bdoiron at uchicago.edu). > > Jorge Jaramillo. The Distributed Neural Dynamics and Control lab > investigates how subcortical structures interact with cortical circuits to > subserve cognitive processes such as memory, attention, and decision > making. We are looking for scientists to work on projects in collaboration > with experimental colleagues at UChicago, Allen Institute, and LMU Munich > including: large-scale models for cognition in the mouse and in silico models > of human deep brain stimulation (jorge.jaramillo at uni-goettingen.de). > > Ramon Nogueira. The Artificial and Biological Neuroscience lab investigates > the geometry of representations in different areas of the brain to > understand the computational support of cognitive processes like flexible > behavior and generalization by developing computational tools and > collaborating with experimental labs. We study the role of noise in > representational geometry and behavior and use artificial neural networks > to validate the results from biological networks (rnogueira at uchicago.edu > ). > > Appointees will have access to state-of-the-art facilities and multiple > opportunities for collaboration with exceptional experimental labs within > the Department of Neurobiology, as well as other labs from the departments > of Physics, Computer Sciences, and Statistics. The Grossman Center offers > competitive postdoctoral salaries in the vibrant and international city of > Chicago, and a rich intellectual environment that includes the Argonne > National Laboratory and the Data Science Institute. The Grossman Center is > currently engaged in a major expansion that includes the incorporation of several > new faculty members in the next few years. > > > > Application: Please send your application before Dec 10th 2023 as a > single PDF file including: i) a CV with publications highlighted; ii) a > motivation letter specifying the types of projects you would like to work > on; iii) the names and contact details of two academic references to > neurotheory at uchicago.edu. Earliest start date: January 1st 2024, or via > mutual agreement. > > > The University of Chicago is committed to sustaining a diverse, equitable > and inclusive workplace. All qualified applicants will receive > consideration for employment without regard to race, color, creed, > religion, national origin, sex, sexual orientation, marital status, > pregnancy, genetic information, gender identity or expression, age, > disability, or protected veteran status. Underrepresented minorities are > strongly encouraged to apply. > > > Best, > > Jorge Jaramillo > Group Leader "Distributed Neural Dynamics and Control" Lab > University of G?ttingen (from April 2024 onwards: Grossman Center and > University of Chicago) > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.cangelosi at manchester.ac.uk Thu Nov 23 10:31:19 2023 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Thu, 23 Nov 2023 15:31:19 +0000 Subject: Connectionists: Postdoc in Robotics and Computational Neuroscience (3.5 years), University of Manchester Message-ID: <1BB3C39B-C3F3-4A29-81F5-3CD41123F93B@manchester.ac.uk> A Postdoctoral Research Associates in Robotics and Computational Neuroscience (Neurorobotics) is required for a period of 42 months to work on the Horizon/InnovateUK project ?PRIMI: Performance in Robots Interaction via Mental Imagery. This is a collaborative project of the University of Manchester?s Cognitive Robotics Lab with various academic and industry partners in the UK and Europe. PRIMI will synergistically combine research and development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics to build developmental models of higher-cognition abilities ? mental imagery, abstract reasoning, and theory of mind ? boosted by energy- efficient event-driven computing and sensing. The candidate will carry out research on robot neuro/cognitive architectures, using a combination of machine learning and robotics methodologies. This post requires expertise in computational neuroscience (e.g. spiking neural networks) for robotics. A PhD in Computer Science, Robotics, Artificial Intelligence or allied disciplines is required. Excellent programming skills are essential, as well as robotics and/or machine learning skills. Previous experience and publication track record in robot cognitive modelling is an essential requirement. The research fellow will be working collaboratively as part of the Cognitive Robotics Lab at the Department of Computer Science at the University of Manchester under the supervision of Professor Angelo Cangelosi. Close collaboration with the other project partners will also be required. Expected start date of the post is 1 April 2024. Apply here: [metaimage.jpg] Research Associate in Neurorobotics (two posts) :Oxford Road, Manchester jobs.manchester.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: metaimage.jpg Type: image/jpeg Size: 51603 bytes Desc: metaimage.jpg URL: From RoigNoguera at em.uni-frankfurt.de Fri Nov 24 05:14:16 2023 From: RoigNoguera at em.uni-frankfurt.de (Gemma Roig) Date: Fri, 24 Nov 2023 11:14:16 +0100 Subject: Connectionists: Apply until the 30th of November 2023 to the open position of Professor (W1, tenure track) of Machine Learning of World Models at Goethe University Frankfurt am Main Message-ID: <8FB018C6-EBC3-44A7-9C4F-A9C827321C79@em.uni-frankfurt.de> Dear community, we would like to remind you that there is time until the 30th of November ?23 to apply for the following faculty position. Goethe University Frankfurt am Main invites applications for the position of Professor (W1, tenure track) of Machine Learning of World Models in the Institute of Computer Science at the Faculty of Computer Science and Mathematics. This civil servant or public employee position will start as soon as possible.This professorship is funded by the Tenure Track Programme of the German Federal Government and the Federal States. It is a tenure-track position for an initial six-year term. If tenure is approved at the end of the term, the position will be made permanent and promotion to the rank of Full Professor (W2) will be granted. This position is open to individuals in the early stages of their academic career. We are seeking for a candidate widely recognized for excellent research in one or several of the research areas Machine Learning Systems, Simulation, Augmented and Virtual Reality, Cognitive and Computational Neuroscience, as well as applications to complement our current team. We expect the candidate to have finished a doctorate (with grades at least 'very good') and to possess an excellent track record of scientific publications. The professorship is embedded in the attractive research landscape in Frankfurt within and outside the university (see https://www.goethe-university-frankfurt.de/118903280/). There are intensive collaborations with the Excellence Cluster Cardio Pulmonary Institute (CPI), the Ernst Str?ngmann Institute for Neuroscience and other research institutions both within and outside the university. Experience in the acquisition of third-party funded projects is desired. The ability to connect to the research topics of the Institute of Computer Science, the research priorities of the faculty and the research profile of Goethe University and the willingness to cooperate with other research teams within the faculty and university are required. We expect the candidate to represent his/her teaching subject in the undergraduate programs of the Institute of Computer Science. Upon positive tenure evaluation, a substantial participation in the basic courses in programming is also expected. Appropriate participation in academic self-administration is expected. The formal hiring requirements are defined in Sections 67, 68, and 70 of the Hessian Higher Education Act (Hessisches Hochschulgesetz). Goethe-University is an equal opportunity employer, committed to diversity and inclusion. In particular, we are welcoming applications by qualified women and people with a migrant background. At Goethe-University, a special emphasis is placed on creating and sustaining a family-friendly work and research environment. Where applicants are otherwise equally qualified, preference is given to candidates with disabilities or equivalent. The same applies to women in fields in which they are under-represented. To apply, please send a CV, a list of publications, an overview of your research and teaching activities as well as transcripts and a selection of recent course evaluations as a single PDF document by 30 November 2023 to application at fb12.uni-frankfurt.de . If you have any questions, please contact the Director of the Institute, Prof. Dr. Visvanathan Ramesh at vramesh at em.uni-frankfurt.de . Further information about the appointment process, the legal framework and data protection: www.professorship-vacancies.uni-frankfurt.de . -------------- next part -------------- An HTML attachment was scrubbed... URL: From maria.andreina.francisco at it.uu.se Fri Nov 24 10:41:10 2023 From: maria.andreina.francisco at it.uu.se (Maria Andreina Francisco Rodriguez) Date: Fri, 24 Nov 2023 15:41:10 +0000 Subject: Connectionists: CPAIOR 2024 - Submission Deadline Extended Message-ID: <8EE7F3BA-55BC-4707-B8F6-1EF7FDC52AB0@it.uu.se> NEW PAPER SUBMISSION DEADLINES: Abstracts: December 4, 2023 (AoE: anywhere on Earth) Full papers: December 11, 2023 (AoE) ****** This call can be seen online: https://sites.google.com/view/cpaior2024/call-for-papers ****** The 21st International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2024) will be held in Uppsala, Sweden, from May 28 to May 31, 2024. Full information is at https://sites.google.com/view/cpaior2024/. The aim of the conference is to promote a space where researchers from Constraint Programming (CP), Artificial Intelligence (AI), and Operations Research (OR) present innovative techniques, new applications, and original cutting-edge ideas, thereby encouraging researchers from one area to learn from the others. Of particular interest to the conference are papers that integrate concepts and methodologies from these different fields, either proposing interesting new techniques for complex/practical problems or expanding our theoretical insights and cross-field understanding. However, high-quality original papers from a single area are welcome when also relevant to the other communities involved. The conference also strongly encourages regular papers or experience reports showcasing CP/AI/OR techniques on challenging real-world applications. The program committee invites submissions that include, but are far from limited to, the following topics: New methodologies in the interface between predictive and prescriptive pipelines, such as machine learning techniques applied to tackle optimization problems and, conversely, CP/OR techniques to address AI and machine learning tasks. Novel relaxation and inference methods based on constraint propagation, polyhedral techniques/cutting planes, convex/second-order conic optimization, graph-based algorithms, dynamic programming, and decision diagrams for optimization. New search perspectives involving enumeration/branch-and-bound strategies, innovative decomposition techniques (e.g., based on column generation/Benders), intelligent backtracking, incomplete search, and learning-based heuristics. Advanced integrated methods that expose new model transformations, communication strategies across MIP/CP/SAT solvers, distributed solution techniques, and solver selection (e.g., portfolio approaches). Innovative models and applications of CP/AI/OR techniques. Implementation or evaluation of CP/AI/OR techniques and optimization systems. Submissions are of two types: regular papers (submitted for publication and presentation) and extended abstracts (submitted for presentation only). The conference will recognize a distinguished paper award and a student paper award. Instructions for Regular Papers Regular papers present original unpublished work and can be of two types: long papers (at most 15 pages plus references) short papers (at most 8 pages plus references) Both long and short papers will undergo rigorous review and are subject to the same criteria of quality. Both types are also eligible for the distinguished paper or student paper award. Short papers are particularly encouraged for interesting and novel work in progress, for which the practical or theoretical relevance is not yet fully identified. The conference proceedings will be published in the Springer Lecture Notes in Computer Science (LNCS) series . All regular papers should be prepared and submitted in the format used for that series (LNCS instructions ). Submission schedule for regular papers (both long and short): Abstracts: December 4, 2023 (AoE: anywhere on Earth) Full papers: December 11, 2023 (AoE) Rebuttal phase: January 15 ? 18, 2024 (AoE) Notification: February 1, 2024 Instructions for Extended Abstracts Extended abstracts should be one or two pages in length and may present preliminary work or work already published in other outlets. The extended abstracts are submitted for presentation only (if accepted), and will not be formally published in the LNCS conference volume. A collection of the accepted extended abstracts will be published on the conference website. A submission representing work submitted or published in another outlet should state that outlet. Extended abstracts will be reviewed to ensure appropriateness for the conference. Submission schedule for extended abstracts: Extended abstracts: March 6, 2024 (AoE) Notification: April 3, 2024 Submission Process All regular papers and extended abstracts are to be submitted electronically in PDF format by following the instructions at EasyChair: https://easychair.org/conferences/?conf=cpaior2024. For any queries on the submission process, please contact the Program Chair, Bistra Dilkina, at cpaior2024 at gmail.com . Looking forward to seeing you in Uppsala! -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4728 bytes Desc: not available URL: From amfyshe at gmail.com Fri Nov 24 12:46:08 2023 From: amfyshe at gmail.com (Alona Fyshe) Date: Fri, 24 Nov 2023 10:46:08 -0700 Subject: Connectionists: Assistant professor in AI + Biological Cognition at UAlberta Message-ID: Dear Colleagues, We are excited to announce a faculty position in AI and Biological Cognition in the Department of Psychology, University of Alberta. The successful candidate will be nominated for a Canada CIFAR Artificial Intelligence (CCAI) Chair by the Alberta Machine Intelligence Institute (Amii). This prestigious Chair position includes generous research funding for at least five years. For more details, please visit the job posting at the following link (also copied below): https://www.careers.ualberta.ca/Competition/A108052175/ Thanks, Alona Fyshe Associate Professor, CCAI Chair Department of Computing Science and Department of Psychology University of Alberta ?-------------------------------- Assistant Professor, Artificial Intelligence & Biological Cognition The Department of Psychology, University of Alberta, invites applications for a tenure-track position at the rank of Assistant Professor in Artificial Intelligence and Biological Cognition to commence with a start date as early as July 1, 2024. Exceptional candidates might be considered for hiring at the rank of Associate Professor. Artificial intelligence (AI) has a history steeped in psychology, cognitive science, and neuroscience. Though AI research diverged from its cognitive science roots, the advent of deep learning (DL) has reunited the fields and enabled AI to achieve human performance on multiple tasks. As these models become larger and more powerful, studying DL models trained for specific tasks can help us understand how the brain might solve similar problems. Work in this direction touches on multiple areas in psychology including memory, learning, navigation, language, and perception. Position Summary This position is part of a cluster hire in the intersection of AI/ML and other areas of research excellence within the University of Alberta that include Health, Energy, and Indigenous Initiatives in health and humanities, among others. The successful candidate will also become an Amii Fellow, joining a highly collegial institute of world-class Artificial Intelligence and Machine Learning researchers, and will have access to Amii internal funding resources, administrative support, and a highly collaborative environment. We particularly encourage applicants with research programs that complement the department?s current strengths in the areas of memory, learning, navigation, perception and language, with special emphasis on how these areas intersect with artificial intelligence. The successful candidate will be nominated for a Canada CIFAR Artificial Intelligence (CCAI) Chair, by the Amii. If the candidate is successful in their CCAI Chair nomination, the Chair includes research funding for at least five years. Qualifications - PhD in Psychology, Computing Science or a closely related field (e.g., Neuroscience, Computational Psychology) by the date of the appointment or shortly thereafter. - Applicants are expected to have a research record that displays excellence, including publications in top AI/ML/Psychology/Neuroscience conferences and journals, and an innovative research program that makes fundamental advances in machine learning (ML) and/or how ML is applied to study the brain and mind. - Evidence of teaching effectiveness and potential for acquiring external funding is required. - Ability to teach undergraduate and graduate courses in Psychology, or cross-listed courses in Psychology and Computing Science. - Ability to contribute to the level of AI expertise across campus, as well as to the capacity of students and investigators to engage in emerging, multidisciplinary research opportunities consistent with objectives of the University?s Strategic Plan, Indigenous Strategic Plan, and the EDI Strategic Plan. Department/Faculty Summary The Department of Psychology offers about 60 different psychology courses, having 2,472 psychology undergraduate majors and over 1,024 psychology undergraduate minors. The Faculty of Science is globally recognized for excellence in research and education, working to position our community ahead of economic cycles, ecological shifts, competitive opportunities, and disruptive technologies by pushing the boundaries of discovery, knowledge, and innovation (Science Strategic Plan ). Alberta Machine Intelligence Institute (Amii) Amii is one of three institutes named in the Pan-Canadian AI Strategy, consisting of more than 35 artificial intelligence (AI) and machine learning (ML) researchers at the University of Alberta, as well as CCAI Chairs at post-secondary institutions across Western Canada. The University of Alberta is world-renowned for its strength in AI and ML. The AI cohort that includes this position will bring together and foster the next generation of scientists leading the development of machine learning for societal benefit, fulfilling Amii?s mandate of AI for good and all. Working at the University The University of Alberta is one of the largest and most research-productive universities in Canada. With more than 40,000 students from 146 countries, the U of A regularly ranks in the top 5 universities in the country and in the top 100 universities in the world according to QS Worldwide university rankings. The University is world-renowned for its strength in AI and ML, which the University has identified as one of three priority areas of global research prominence (University Strategic Plan ). The University is committed to Equity, Diversity and Inclusivity (Strategic Plan for EDI ) and to reconciliation (Indigenous Strategic Plan ). Greater Edmonton, Amiskwac?w?skahikan, in the language of the Plains Cree, is situated on Treaty Six Territory and M?tis Nation of Alberta Region 4. We recognize and respect the history, languages, and cultures of the First Nations, M?tis, Inuit, and all First Peoples of Canada, whose presence continues to enrich our institution. Location: The successful candidate is expected to be located in Edmonton. For more information about the University of Alberta and Edmonton, please visit http://www.ualberta.ca and https://infoedmonton.com. Salary and Benefits: This position is a part of the Association of the Academic Staff of the University of Alberta (AASUA). The university offers highly competitive salaries and an excellent benefits package . Salary is commensurate with experience and qualifications in accordance with the Faculty Agreement?s negotiated salary scales . How to Apply Please read application instructions carefully as incomplete applications will not be considered. As part of the Temporary Foreign Worker Program (TFWP) requirements, the university must conduct recruitment efforts to hire Canadians and permanent residents before offering a job to a temporary foreign worker. To ensure we remain in compliance with these regulations, please include the appropriate statement in your cover letter: ?I am a Canadian Citizen/Permanent Resident? or ?I am not a Canadian Citizen/Permanent Resident?. Please select the Apply Online icon below and submit the following documents: (1) Cover letter that includes highlights of their profile (2 pages max), along with TFWP statement of Canadian status (submit under ?Cover Letter?). (2) CV (submit under ?Curriculum Vitae?). (3) Names and contact information of three referees (submit under ?References?). The required reference letters must focus on the candidate?s research and scholarly work under the following headings: - An assessment of their AI/ML expertise; - An appraisal of the impact and significance of their research and scholarship; - Quality of their publications; - Standing in the field, and ranking among the scholars in their cohort; and - Potential for sustained growth and achievement in the future. (4) Copies of up to 3 recent publications or preprints, including one paper that best exemplifies their work at the intersection of AI/ML and psychology/neuroscience (submit under ?List of Publications?). (5) Research Statement that outlines their main areas of current and future research and that addresses each of the criteria listed below under EVALUATION OF CANDIDATES (submit under ?Research Plan?). (6) A summary of their teaching interests and teaching dossier (submit under ?Statement of Teaching/Research Interests?). (7) An EDI Statement (1-2 pages) that identifies their strengths and experiences with equity, diversity, and inclusion and includes their plans to advance EDI in their research, teaching, mentoring, and service to the scientific community (submit under ?EDI Philosophy?). EVALUATION OF CANDIDATES: Candidates must address each of these criteria in their attached Research Plan. 1. Disciplinary Excellence. Candidates should be doing internationally-recognized research, commensurate with their career stage. This means high quality work appearing in high quality venues. 2. Depth and Breadth of Connections with AI/ML. Candidates? past and planned research should be deeply connected with and/or enabled by AI and machine learning. Ideally, AI/ML techniques and advances should be at the heart of the research. Their research should constitute fundamental advances in AI/ML, or constitute a fundamental advance in how AI/ML is applied in psychology and/or neuroscience. 3. Vision for AI Transforming Their Discipline. Candidates should be current/future leaders in the transformation of psychology and neuroscience through AI. The ideal candidate would both see the future of psychology/neuroscience involving AI and be an advocate of the innovation AI can bring to psychology/neuroscience. 4. Synergy with Amii. Candidates should be excited to have close collaborations with world-class AI researchers at Amii. The ideal candidate will both leverage Amii AI expertise (prof, student, community), as well as be an active participant ? both at a collegial and intellectual level ? giving back to the Amii community and its pool of expertise. Inquiries regarding the position can be addressed to the Department Chair, Dr. Anthony Singhal (psychair at ualberta.ca), and the Executive Assistant, Llyn Madsen (psyea at ualberta.ca), using ?AI BioCognition 2024? as the email?s subject. Applications must be received by Friday, January 12, 2024 to receive full consideration. We thank all applicants; however, only those selected for an interview will be contacted. All applicants are invited to indicate appropriate accessibility accommodations that will facilitate their participation in an interview by contacting psyea at ualberta.ca to arrange appropriate accommodations. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. If suitable Canadian citizens or permanent residents cannot be found, other individuals will be considered . The University of Alberta is committed to an equitable, diverse, and inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, M?tis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; persons with non-traditional career paths; and all those who may contribute to the further diversification of ideas and the University to apply. The University of Alberta recognizes the legitimate impact that leaves such as parental leave or leave due to illness can have on a candidate?s record of research achievement, and these leaves will be taken into careful consideration during the assessment process. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Sun Nov 26 15:29:49 2023 From: jkrichma at uci.edu (Jeffrey L Krichmar) Date: Sun, 26 Nov 2023 12:29:49 -0800 Subject: Connectionists: Call for Papers - From Animals to Animats: 17th International Conference on the Simulation of Adaptive Behavior (SAB 2024) Message-ID: <98976EB1-E8EC-4A22-BC73-D5FCF14B0A7B@uci.edu> Dear Connectionists, CALL FOR PAPERS - SAB 2024 ------------------------------------------- The Simulation of Adaptive Behavior (SAB) interdisciplinary conference brings together researchers in artificial intelligence, artificial life, computer science, cybernetics, ethology, evolutionary biology, neuroscience, robotics, and many other fields, to further our understanding of the behaviors and underlying mechanisms that allow natural animals and artificial agents to adapt and survive in complex, dynamic and uncertain environments. Animats denote the connection between animals and synthetic agents. The conference focuses on models and experiments designed to help characterize and compare various organizational principles and architectures underlying adaptive behavior in real animals and in animats. SAB 2024 solicits contributions dealing with any aspect of adaptive behavior. We especially invite submissions from researchers who connect biology and natural behavior to synthetic agents. Conference papers are peer-reviewed and accepted papers will be published in ?From Animals to Animats 17. SAB 2024.? Lecture Notes in Artificial Intelligence, Springer Nature. Venue -------- CalIT2 Auditorium University of California, Irvine Irvine, CA 92697 USA Important Dates ---------------------- April 1, 2024: Deadline for paper submission April 15, 2024: Deadline for Workshop and tutorial proposals June15, 2024: Notice of acceptance June 30, 2024: Camera-ready papers September 9-12: Conference dates More details can be found at: https://sab2024.socsci.uci.edu/call-for-papers Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From announce at ucy.ac.cy Mon Nov 27 04:55:30 2023 From: announce at ucy.ac.cy (Announce) Date: Mon, 27 Nov 2023 09:55:30 +0000 Subject: Connectionists: 28th International Conference on Engineering of Complex Computer Systems (ICECCS 2024): Third Call for Papers Message-ID: *** Third Call for Papers *** 28th International Conference on Engineering of Complex Computer Systems (ICECCS 2024) 19-21 June, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/iceccs2024/ (*** Submission Deadline: 8 December, 2023 AoE ***) Recent years have witnessed a rapidly rising emphasis on the design, implementation and management of complex computer systems which are present in every aspect of human activities, such as manufacturing, communications, defence, transportation, aerospace, hazardous environments, energy, and healthcare. These complex systems are frequently distributed over heterogeneous networks and process a large amount of data, leveraging emerging artificial intelligence (AI), large language models, and machine learning techniques. Complexity arises from many factors, including the dynamic environment and the scenarios these systems operate in, demanding and sometimes conflicting requirements in functionality, efficiency, scalability, security, dependability and adaptability, data heterogeneity, as well as the wide range of development methodologies, programming languages and implementation details. Performance, real-time behaviour, fault tolerance, robustness, security, adaptability, development time and cost, and long life concerns are some of the key issues arising in the development of such systems. The International Conference on Engineering of Complex Computer Systems (ICECCS) is a well-established event that has been held around the world for over 25 years. The goal of this conference is to bring together industrial, academic, and government experts from a variety of application domains and software disciplines, to discuss how the disciplines? problems and solution techniques interact within the whole system. Researchers, practitioners, tool developers and users, and technology transfer experts are all welcome. The scope of the conference includes long-term research issues, near-term requirements and challenges, established complex systems, emerging promising tools, and retrospective and prospective reflections of research and development into complex systems. LIST OF TOPICS Authors are invited to submit papers describing original, unpublished research results, case studies and tools. Papers are solicited in all areas related to complex computer-based systems, including the causes of complexity and means of avoiding, controlling, or coping with complexity. Topic areas include, but are not limited to: Requirements, modeling and formal methods ? Requirements analysis and specification ? Model-driven development ? Model checking ? SAT/SMT solvers for software analysis and testing AI, Complex intelligent models and complex systems ? Big data management ? Data-drive and AI-backed systems ? Machine learning for Software Engineering ? AI4SE and SE4AI ? Adaptive, self-managing and multi-agent systems Security, reliability and dependability ? Safety-critical and fault-tolerant architectures ? Formal methods ? Security and privacy of complex systems ? Privacy-preserving AI ? Fairness Software engineering ? Verification and validation ? Reverse engineering and refactoring ? Software architecture ? Human Machine Interaction ? Agile methods Realistic complex systems ? Ubiquitous computing, context awareness, sensor networks ? Cyber-physical systems and Internet of Things (IoT) ? Autonomous systems and self-healing systems ? Industrial case studies Different kinds of contributions are sought, including novel research, lessons learned, experience reports, and discussions of practical problems faced by industry and user domains. The ultimate goal is to build a rich and comprehensive conference program that can fit the interests and needs of different classes of attendees: professionals, researchers, managers, and students. A program goal is to organize several sessions that include both academic and industrial papers on a given topic and culminate panels to discuss relationships between industrial and academic research. COLLABORATION WITH THE ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY (TOSEM) To facilitate the dissemination of high-quality research presented at ICECCS 2024, selected papers will be invited to submit extended versions of their accepted conference papers to ACM Transactions on Software Engineering and Methodology (TOSEM). Authors of these selected papers are kindly requested to submit their extended manuscripts within six months following their conference presentation. Upon the authors' acceptance of this invitation, TOSEM will provide comprehensive instructions and requirements for the submission and review process. TOSEM will conduct its rigorous review process and make final decisions on acceptance. SUBMISSION AND PUBLICATION Full papers are divided into two categories: Technical Papers and Experience Reports. The papers submitted to both categories will be reviewed by the program committee members, and papers accepted in either category will be published in the conference proceedings. Technical papers should describe original research, and experience reports should present practical projects carried out in the industry, and reflect on the lessons learnt from them. Short paper submissions describe early-stage, ongoing or PhD research. All short papers will be reviewed by the program committee members, and accepted short papers will be published in the conference proceedings. Submissions to the conference must not have been published or be concurrently considered for publication elsewhere. All submissions will be judged on the basis of originality, contribution to the field, technical and presentation quality, and relevance to the conference. The proceedings have been published by the Conference Publishing Services (CPS) of the IEEE Computer Society. Submitted manuscripts should be in English and formatted in the style of the double-column IEEE CPS format. Full papers should not exceed 9 pages + 1 page for bibliography, and short papers should not exceed 5 pages + 1 page for bibliography, including figures, references, and appendices. All submissions should be in PDF format. Submissions not adhering to the specified format and length may be rejected immediately without review. Please prepare your manuscripts in accordance with the IEEE CPS guidelines. https://www.ieee.org/conferences/publishing/templates.html . We invite all prospective authors to submit their manuscripts via the ICECCS 2024 portal, hosted by the EasyChair conference management system. https://easychair.org/conferences/?conf=iceccs2024 . IMPORTANT DATES ? Abstract Submissions Due: 08 December, 2023 AoE ? Full Paper Submissions Due: 15 December, 2023 AoE ? Acceptance/Rejection Notification: 15 March, 2024 ? Camera-ready Due: 15 April, 2024 ? Author Registration Due: 15 April, 2024 ? Conference Dates: 19-21 June, 2024 ORGANISATION Steering Committee ? Jin Song Dong, National University of Singapore, Singapore ? Mike Hinchey, University of Limerick, Ireland ? Xiaohong Li, Tianjin University, China ? Shaoying Liu, Hiroshima University, Japan ? Mauro Pezze, University in Lugano, Switzerland ? Roy Sterritt, Ulster University, United Kingdom ? Jing Sun (Chair), University of Auckland, New Zealand General Co-Chairs ? Yamine Ait-Ameur, IRIT, France ? George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs ? Guangdong Bai, University of Queensland, Australia ? Fuyuki Ishikawa, National Institute of Informatics, Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkoprinkova at yahoo.com Mon Nov 27 07:36:36 2023 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Mon, 27 Nov 2023 12:36:36 +0000 (UTC) Subject: Connectionists: AIMSA 2024 1st CFP References: <1972804768.3429984.1701088596799.ref@mail.yahoo.com> Message-ID: <1972804768.3429984.1701088596799@mail.yahoo.com> We cordially invite you to AIMSA 2024.? The conference site is:?http://www.aimsaconference.org? AIMSA conference is a premier single-track forum for exchanging information and research results on theory and principles of artificial intelligence (AI) along with real-world applications of intelligent systems technology. The conference traditionally brings together researchers and practitioners in all areas of AI from both the academia and industry to meet and share their ideas and experiences and learn about the recent trends and developments in contemporary AI.The 19th edition of AIMSA will be held in the beautiful Golden Sands resort near Varna, Bulgaria. With its mild climate and excellent opportunities for outdoor activities, water sports and gastronomy, Golden Sands promise to be a wonderful venue for a memorable conference.? TOPICS?The conference is looking for submissions offering innovative methods, systems and applications that demonstrate efficiency and sustainability for the future of AI. Efficiency can be demonstrated against current and traditional methods, systems and applications.Sustainability relates to the required resources, computational power, human wellbeing, positive impact on science and the society.? The conference will have three streams, namely:?1. Innovative methods for efficient and sustainable AI?2. Systems for the development and the implementations of efficient and sustainable AI?3. Novel efficient and sustainable AI applications? All submissions will be subject to a single-blind academic peer review by at least three members of the program committee. Selection criteria include accuracy and originality of ideas, clarity and significance of results, and quality of presentation.? The author(s) of the best paper (which will be selected based on the votes of the attendees) of the conference will receive the Best Paper Award during the conference.? PROGRAMME COMMITTEE CHAIR:?Prof. Nikola KasabovAuckland University of Technology, Auckland, New Zealand?Visiting professor in:Institute of Information and Communication Technologies, Bulgarian Academy of SciencesUlster University, Derry, United KingdomDalian University, China? LOCAL ORGANIZING COMMITTEE CHAIRProf. Petia Koprinkova-Hristova?Institute of Information and Communication Technologies, Bulgarian Academy of Sciences? LANGUAGEThe official language of the conference is English? IMPORTANT DATES?Submission deadline: May 24, 2024?Notification of acceptance: July 1, 2024?Deadline for camera-ready: July 15, 2024?Conference: September 18-20 2024? PROCEEDINGS?Traditionally, proceedings of AIMSA conferences are published by Springer Nature in their Lecture Notes in Artificial Intelligence subline of the Lecture Notes in Computer Science series. LOCATIONGolden Sands is a modern resort with traditions, and history going back 50 years. A unique blend of lovely nature park, warm sea, and fine golden sand! Golden Sands is the winner of a "Blue Flag" - a prestigious international award for environmentally clean resorts. ORGANISERSBulgarian Artificial Intelligence AssociationInstitute of Information and Communication Technologies at the Bulgarian Academy of Sciences (IICT ? BAS) -------------- next part -------------- An HTML attachment was scrubbed... URL: From justyna.zwolak at nist.gov Mon Nov 27 08:32:43 2023 From: justyna.zwolak at nist.gov (Zwolak, Justyna P. (Fed)) Date: Mon, 27 Nov 2023 13:32:43 +0000 Subject: Connectionists: Call for Participation: XAI4Science workshop (Deadline Extension) Message-ID: Dear Colleagues, We would like to kindly notify you that the deadline for submitting short conference papers (up to 4 pages) has been extended to Friday, Dec. 1, 2023. Please, refer to the workshop website for more information about the workshop and the workshop proceedings. Key Information: * ?? Workshop Date: February 26, 2024 (in-person in Vancouver, Canada) * ? Paper Submission Deadline: Extended to December 1 (AOE), 2023 * ? Submission Link: OpenReview (Double-Blind Review Process) Topics of Interest: development and application of explainable machine techniques to real-world problems in sciences (including but not limited to, physics, materials science, earth science, cosmology, biology, chemistry, and forensic science). Submission Information: * ? Short Conference Paper (up to 4 pages excluding acknowledgments and references) * ? Author Notification: December 11, 2023 * Submissions are not archived. The accepted papers will be published on the workshop website. * Authors of accepted papers will have an opportunity to submit a full research paper for consideration in a special issue in Machine Learning: Science and Technology focusing on explainable machine learning in sciences. Please, let us know if you have any questions. We are looking forward to meeting many of you in Vancouver. Justyna Zwolak (NIST), Craig Greenberg (NIST), and Rich Caruana (Microsoft) -------------- next part -------------- An HTML attachment was scrubbed... URL: From sarathcse2008 at gmail.com Tue Nov 28 22:57:39 2023 From: sarathcse2008 at gmail.com (Sarath Chandar) Date: Tue, 28 Nov 2023 22:57:39 -0500 Subject: Connectionists: Tenure Track Faculty Position in Machine Learning at Polytechnique Montreal - Deadline 15 Dec 2023 Message-ID: Dear All, We have an open tenure track professor position in Machine Learning in the Department of Computer and Software Engineering at Polytechnique Montreal, the engineering school affiliated with the University of Montreal. Suitable candidates will be nominated to become affiliated with Mila (Quebec AI Institute) . Outstanding candidates specializing in core machine learning may be recommended to receive a Canada CIFAR AI Chair , contingent upon chair availability. More details about this opening can be found here: https://www.polymtl.ca/carriere/en/offres-demploi/professor-computer-and-software-engineering-artificial-intelligence-machine-learning-and-big-data The deadline to apply is 15 December 2023. If you have any questions about this opening, please feel free to contact me at sarath.chandar at mila.quebec. Regards, Sarath Chandar -- Sarath Chandar Canada CIFAR AI chair, Mila Canada Research Chair in Lifelong Machine Learning Assistant professor, Dept. of Computer and Software Engineering Polytechnique Montr?al https://chandar-lab.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From p.tino at bham.ac.uk Wed Nov 29 13:37:48 2023 From: p.tino at bham.ac.uk (peter tino) Date: Wed, 29 Nov 2023 18:37:48 +0000 Subject: Connectionists: Fully Funded PhD Studentship - Computational Intelligence and Astronomy - EU Doctoral Network Message-ID: <1cf3adc7-ef5a-45bc-8d20-d59d640dfaf2@bham.ac.uk> Thinking of PhD and interested in challenging inter-disciplinary work involving machine learning and astrophysics? - computational intelligence background? - no deep prior knowledge of astronomy is required, - astronomy background - no deep prior knowledge of comp. science is required. We, however, need open minds eager to learn and understand "the other side". The EDUCADO project (Exploring the Deep Universe by Computational Analysis of Data from Observations, https://research.iac.es/proyecto/educado/), an EU Doctoral Network, offers a unique opportunity for early stage researchers to develop into mature interdisciplinary scientists. You will be part of a network of 9 research groups across Europe. The formation and evolution of massive galaxies is reasonably well understood in the context of the successful standard ?CDM formalism. Such simulations of cosmic evolution, however, lead to serious challenges in the regime of very faint galaxies (problems referred to as missing satellites, too big to fail, and planes of satellite galaxies). With the massive amounts of excellent data being produced by astronomical surveys, and with new missions scheduled to produce more data of even better quality, we have a unique chance to solve these problems. Linking detailed astrophysical simulations with observations requires development of dedicated tools in the frameworks of machine learning, natural computation and probabilistic modelling. The positions are suitable for trained astronomers with keen interest in machine learning and computational methods (no deep prior knowledge is required),? or for computer scientists eager to face a challenging interdisciplinary project (again no deep prior knowledge of astronomy is required). For more details, please see: https://research.iac.es/proyecto/educado/ Informal inquiries can be made to: Johan Knapen (johan.knapen at iac.es), Peter Tino (p.tino at bham.ac.uk). -- Peter Tino The University of Birmingham School of Computer Science Edgbaston, Birmingham B15 2TT, UK +44 121 414 8558 http://www.cs.bham.ac.uk/~pxt/ From wanling.cai at tcd.ie Wed Nov 29 11:45:41 2023 From: wanling.cai at tcd.ie (Wanling Cai) Date: Wed, 29 Nov 2023 16:45:41 +0000 Subject: Connectionists: ACM UMAP 2024 - 1st Call for Full and Short Papers Message-ID: * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://www.um.org/umap2024/call-for-full-and-short-papers/ =============== ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 ACM UMAP is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB. User Modeling Inc., as the core Steering Committee, oversees the conference organization. The proceedings, published by ACM, will be part of the ACM Digital Library. The theme of UMAP 2024 is ?Collaboration and Cooperation for the Greater Good?. Specifically, we welcome submissions that highlight the impact that working together and synergy (such as between academia, industry, influential policy making bodies, committees and communities) can have on solving the world?s biggest problems; the focus is on investigations that capture how user modeling, personalization, and adaptation of (intelligent) systems may influence user behavior, trustful processes and whether new models are required, for building sustainable and inclusive services and solutions that can address critical challenges of our world. While we encourage submissions related to this theme, the scope of the conference is not limited to the theme only. As always, contributions from academia, industry, and other organizations discussing open challenges or novel research approaches are expected to be supported by rigorous evidence appropriate to claims (e.g., user study, system evaluation, computational analysis). Important Dates - Paper Abstract Submission: January 22, 2024 (mandatory) - Paper Submission: January 29, 2024 - Notification: March 28, 2024 - Camera-ready Submission: May 9, 2024 - Conference: July 1 ? 4, 2024 The submissions deadlines are at 11:59 pm AoE time (Anywhere on Earth). Conference Topics We welcome submissions related to user modeling, personalization, and adaptation of (intelligent) systems targeting a broad range of users and domains. Detailed descriptions and the suggested topics for each track will be available shortly in the extended version of the CFP on this page. ** Personalized Recommender Systems ** This track invites works from researchers and practitioners on recommender systems. In addition to mature research works addressing technical aspects of recommendations, we welcome research contributions that address questions related to user perception, decision-making, and the business value of recommender systems. ** Knowledge Graphs, Semantics, Social and Adaptive Web ** This track welcomes works focused on the use of knowledge representations (i.e., novel knowledge bases), graph algorithms (i.e., graph embedding techniques), and social network analysis at the service of addressing all aspects of personalization, user model building, and personal experience in online social systems. Moreover, this track invites works in adaptive hypermedia, as well as semantic and social web. ** Intelligent User Interfaces ** This track invites works exploring how to make the interaction between computers and people smarter and more productive, leveraging solutions from human-computer interaction, data mining, natural language processing, information visualization, and knowledge representation and reasoning. ** Personalizing Learning Experiences through User Modeling ** This track invites researchers, developers, and practitioners from various disciplines to submit their innovative learning solutions, share acquired experiences, and discuss their modeling challenges for personalized adaptive learning. ** Fairness, Transparency, Accountability, and Privacy ** Researchers, developers, and practitioners have a social responsibility to account for the impact that technologies have on individuals (users, providers, and other stakeholders) and society. This track invites works related to the science of building, maintaining, evaluating, and studying adaptive systems that are fair, transparent, respectful of users? privacy, beneficial to society, and accountable for their impacts. ** Personalization for Persuasive and Behavior Change Systems ** This track invites submissions focused on personalization and tailoring for persuasive technologies, including but not limited to personalization models, user models, computational personalization, design, and evaluation methods. It also welcomes work that brings attention to the user experience and designing personalized and adaptive behavior change technologies. ** Virtual Assistants, Conversational Interactions, and Personalized Human-Robot Interaction ** This track invites works investigating new models and techniques for adapting synthetic companions (e.g., virtual assistants, chatbots, social robots) to individual users. With the conversational modality so in vogue across disciplines, this track welcomes work highlighting the model and deployment of synthetic companions driven by conversational search and recommendation paradigms. ** Research Methods and Reproducibility** This track invites submissions on methodologies to evaluate personalized systems, benchmarks, and measurement scales, with particular attention to the reproducibility of results and techniques. Furthermore, the track looks for submissions that report new insights from reproducing existing works. ** Submission and Review Process** For UMAP 2024 we encourage two kinds of submissions (reviewers will comment on whether the size is appropriate for each contribution), in the ACM new single-column format: * Long papers should report on substantial contributions of lasting value. The maximum length is 14 pages (excluding references, which do not count towards the limit). Each accepted long paper will be included in the conference proceedings and presented in a plenary session as part of the main conference program. * Short papers typically discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance to this category despite not having gone through sufficient experimental validation or lacking strong theoretical foundation. The maximum length is 7 pages (excluding references, which do not count towards the limit). Each accepted short paper will be included in the conference proceedings and presented either as an oral presentation or at the poster session. UMAP uses a double-blind review process. Authors must omit their names and affiliations from their submissions; they should also avoid obvious identifying statements. For instance, citations to the authors? prior work should be in the third person. Submissions not abiding by anonymity requirements will be desk rejected. In addition, UMAP 2024 will introduce a new ?Raise Your Voice? stage during evaluation, offering a small window to authors to optionally discuss the initial decision of their submission, enhancing the transparency and quality of the reviewing process. Additional review criteria and submission link will be available shortly on the conference website: https://www.um.org/umap2024. UMAP has a no dual submission policy, which is why full and short paper submissions should not be currently under review at another publication venue. Further, UMAP operates under the ACM Conference Code of Conduct. Program Chairs * Panagiotis Germanakos, SAP SE, Germany * Elvira Popescu, University of Craiova, Romania Contact information: umap2024-program at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Thu Nov 30 04:02:34 2023 From: announce at ucy.ac.cy (Announce) Date: Thu, 30 Nov 2023 09:02:34 +0000 Subject: Connectionists: 36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): Last Mile for Paper Submission Message-ID: *** Last Mile for Paper Submission *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: Abstract: December 1, 2023 AoE; Paper: December 8, 2023 AoE ***) The CAiSE?24 organization calls for full papers with a special emphasis on the theme of Information Systems in the Age of Artificial Intelligence. Artificial Intelligence (AI) has emerged as a transformative technology, revolutionizing various industries, and its significance in Information Systems cannot be overstated. AI-powered systems have the potential to streamline operations, enhance decision-making processes, and drive innovation across organizations. From data analysis to automated processes, AI is reshaping the way we leverage information in the digital age. The relevance of AI in IS extends beyond internal operations. AI-powered predictive analytics enables organizations to forecast trends, anticipate customer needs, and optimize resource allocation. This empowers businesses to adapt swiftly to changing market dynamics, gain a competitive edge, and make proactive decisions. AI algorithms can also detect anomalies and patterns that indicate potential security breaches, contributing to robust cybersecurity measures in information systems. However, while acknowledging the benefits, it is essential to consider the ethical implications of AI in information systems. Ensuring data privacy, addressing bias in algorithms, and maintaining transparency are vital aspects that need to be carefully managed and regulated to foster trust and accountability. In addition to offering an exciting scientific program, CAiSE?24 will feature a best paper award, a journal special issue, and a PhD-thesis award: ? Best Paper Award? prize EUR 1000 (sponsored by Springer) ? A small selection of best papers will be invited to submit enhanced versions for consideration in a special issue of Elsevier Information Systems journal dedicated to this conference. ? PhD-Thesis Award ? Best PhD thesis of a past CAiSE Doctoral Consortium author (co-sponsored by the CAiSE Steering Committee and Springer) Papers should be submitted in PDF format. Submissions must conform to Springer? LNCS format and should not exceed 15 pages, including all text, figures, references, and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. See the guidelines here: https://www.springer.com/comp/lncs/authors.html . The results described must be unpublished and must not be under review elsewhere. Three to five keywords characterizing the paper should be listed at the end of the abstract. Each paper will be reviewed by at least two program committee members and, if positively evaluated, by one additional program board member. The selected papers will be discussed among the paper reviewers online and during the program board meeting. As the review process is not blind, please indicate your name and affiliation on your submission. Accepted papers will be presented at CAiSE?24 and published in the Springer Lecture Notes in Computer Science (LNCS) conference proceedings. We invite three types of original and scientific papers. The type of submission must be indicated in the submission system. Each contribution should explicitly address the engineering or the operation of information systems, clearly identify the information systems problem addressed, the expected impact of the contribution to information system engineering or operation, and the research method used. We strongly advise authors to clearly emphasize these aspects in their paper, including the abstract. Technical papers describe original solutions (theoretical, methodological or conceptual) in the field of IS Engineering. A technical paper should clearly describe the situation or problem tackled, the relevant state of the art, the position or solution suggested and its potential? as well as demonstrate the benefits of the contribution through a rigorous evaluation. Empirical papers evaluate existing problem situations including problems encountered in practice, or validate proposed solutions with scientific means, i.e., by empirical studies, experiments, case studies, experience reports, simulations, etc. Scientific reflection on problems and practices in industry also falls into this category. The topic of the evaluation presented in the paper as well as its causal or logical properties must be clearly stated. The research method must be sound and appropriate. Exploratory papers describe completely new research positions or approaches, in order to face a generic situation arising because of new ICT tools, new kinds of activities, or new IS challenges. They must precisely describe the situation and demonstrate why current methods, tools, ways of reasoning, or meta-models are inadequate. They must also rigorously present their approach and demonstrate its pertinence and correctness in addressing the identified situation. The topics of contribution include but are not limited to: ? Novel Approaches to IS Engineering ? Artificial Intelligence and Machine Learning ? Robotic Process Automation (RPA) ? Big Data, Data Science and Analytics ? Blockchain applications in IS ? Simulation and Digital Twins? ? IS for collaboration and social computing? ? Virtual reality / Augmented Reality ? Context-aware, autonomous and adaptive IS ? Models, Methods and Techniques in IS Engineering ? Ontologies and Ontology Engineering ? Conceptual modeling, languages and design ? Requirements engineering ? Process modeling, analysis and improvement ? Process automation, mining and monitoring ? Models and methods for evolution and reuse ? Domain and method engineering ? Product lines, variability and configuration management ? Compliance and alignment handling ? Active and interactive models ? Quality of IS models for analysis and design ? Visualization techniques in IS ? Decision models and business intelligence ? Knowledge graphs ? Human-centered techniques ? Architectures and Platforms for IS Engineering ? Distributed, mobile and open architecture ? Big Data architectures ? Cloud- and edge-based IS engineering ? Service oriented and multi-agent IS engineering ? Multi-platform IS engineering ? Cyber-physical systems and Internet of Things (IoT) ? Workflow and Process Aware Information Systems (PAIS) ? Handling of real time data streams ? Content management and semantic Web ? Crowdsourcing platforms ? Conversational agents (chatbots) ? Microservices design and deployment ? Domain-specific and Multi-aspect IS Engineering ? IT governance ? eGovernment ? Autonomous and smart systems (smart city management, smart vehicles, etc.) ? IS for healthcare ? Educational Systems and Learning Analytics ? Value and supply chain management ? Industry 4.0 ? Sustainability and social responsibility management ? Privacy, security, trust, and safety management ? IS in the post-COVID world Submit your paper using the Easy Chair link: https://easychair.org/conferences/?conf=caise2024 . IMPORTANT DATES ? Abstract Submission: 1st December 2023 (AoE, extended and firm) ? Paper Submission: 8th December 2023 (AoE, extended and firm) ? Notification of Acceptance: 23rd February 2024 ? Camera-ready Papers: 5th April 2024 ? Author registration: 5th April 2024 ORGANISATION General Chairs ? Haris Mouratidis, University of Essex, UK ? Pnina Soffer, University of Haifa, Israel Local Organizing and Finance Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs ? Giancarlo Guizzardi, University of Twente, The Netherlands ? Flavia Maria Santoro, University of the State of Rio de Janeiro, Brazil Other Committee Members https://cyprusconferences.org/caise2024/committees/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From boris.gutkin at gmail.com Thu Nov 30 06:23:40 2023 From: boris.gutkin at gmail.com (Boris Gutkin) Date: Thu, 30 Nov 2023 12:23:40 +0100 Subject: Connectionists: Postdoctoral Position in modelling the impact of interoceptive signals on neural dynamics and human cognition. ENS Paris Message-ID: *Postdoctoral Position in modelling the impact of interoceptive signals on neural dynamics and human cognition. Group for Neural Theory and LNC2, Ecole Normale Superieure, Paris.* A post-doctoral position in theoretical neuroscience is open to explore the impact of cardiac inputs on cortical dynamics. Understanding the role of internal states in human cognition has become a hot topic, with a wealth of experimental results but limited attempts at analyzing the computations that underlie the link between bodily organs and brain. Our particular focus is on elucidating how the different mechanisms for heart-to-cortex coupling (e.g., phase-resetting, gating, phasic arousal,..) can account for human behavioral and neural data, from somatosensory detection to more high-level concepts such as self-relevance, using data-based dynamical models. The ideal candidate should have a doctoral degree in a quantitative discipline and previous experience with computational approaches to neural functions, excellent programming skills coupled with an interest for, and a willingness to learn about, interoception and its influences on neural dynamics and cognition. The candidate will have a unique opportunity to join the project at its very inception and take a key role in the technical and conceptual development. The position is available for 3 years. The postdoctoral fellow will be based at the Group for Neural Theory and LNC2 , in Boris Gutkin?s team with strong interactions with Catherine Tallon-Baudry?s team. LNC2 is located in the center of Paris within the Cognitive Science Department at Ecole Normale Sup?rieure , with numerous opportunities to interact with the Paris scientific community at large, in a stimulating and supportive work environment. Group for Neural Theory provides a rich environment and local community for theoretical neuroscience. Lab life is in English, speaking French is not a requirement. Salary according to experience and French regulations with health and social benefits. Informal enquiries and applications (CV, motivation letter and contacts for reference) should be sent boris.gutkin at gmail.com and catherine .tallon-baudry at ens.psl.eu. Applications will be evaluated on the fly, the position remaining open until filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandro.dausilio at gmail.com Thu Nov 30 07:07:05 2023 From: alessandro.dausilio at gmail.com (Alessandro D'Ausilio) Date: Thu, 30 Nov 2023 13:07:05 +0100 Subject: Connectionists: [Jobs] [Postdoc] Human Motor Neurophysiology - Italian Institute of Technology - Ferrara, Italy Message-ID: <36DD05CA-B9C7-4FA2-AD5F-81756EC2446A@gmail.com> *** Apologies for cross-posting *** Human Motor Neurophysiology Post-doc position in Ferrara, Italy We are looking for a highly motivated [well, who would want something different?!?] early career researcher to join us at the Italian Institute of Technology (Center for Translational Neurophysiology of Speech and Communication - CTNSC). [here?s the part where I convince you the city is damn cool] The work location is Ferrara, a vibrant medium-sized city in northern Italy, strategically located to reach Bologna (40 min), Padua (50 min), Venice (1 Hr), or Milan (2 Hr). Ferrara is also a unique place to live, being a UNESCO World Heritage Renaissance city known as the Italian city of bicycles. The Emilia-Romagna region is world famous for its food, quality of life and public services, while the cost of living is quite reasonable. In addition, the laboratories and offices are housed in a wonderful building dating back to 1498 within the historic city walls. [?with nice people too!] If that is not enough, you would be working in a multicultural and multidisciplinary team in which physicians, psychologists, biomedical engineers, computational scientists, physicists, chemists, and biologists collaborate, each with their own expertise, towards a shared vision. In fact, the CTNSC conducts translational neurophysiological research in Multiscale Sensorimotor Communication. Our goal is to develop a new understanding of how brains generate effective informational coupling, and when compromised by pathology, to devise new technologies for theranostic purposes. https://www.iit.it/it/ctnsc-unife We are offering a post-doc position for 1 year (renewable for up to 5Y on secured funds) with a highly competitive salary, in the area of Human Non-Invasive Motor Neurophysiology. [blah blah blah, you know the drill] The ideal candidate has a PhD in biomedical engineering, neuroscience or experimental psychology with a strong quantitative background. Proven experience in motion capture, EEG or advanced signal processing is highly regarded. The winner, from day-1, will be involved in currently running projects (please see Refs below for some published examples). However, our goal will be to support and guide their smooth transition towards full scientific independence, according to a 5-years plan [these are not the usual empty words, we really believe in them]. [Here?s the very long list of expensive equipment ? I?m sure I have forgotten something] The winner will be an active member of a well-funded group, with exclusive access to state-of-the-art laboratories and facilities. ? Motion Capture Lab (3x Qualisys cameras; 10x Vicon cameras; NDI Wave; 2x AMTI platforms; various ATI F/T sensors and IMUs; EyeLink 1000 Plus; 2x Pupil Invisible); ? Brain Stimulation Lab (2x Magstim BiStim TMS; 2x Magstim Super Rapid2 TMS; Digitimer DS7AH; 2x Digitimer DS5; CED Micro; 2x CED Power; 2x 8-Chs Cometa wireless EMG; 2x 8-Chs Starstim systems for tDCS, tACS, tRNS, + EEG); ? EEG Lab (64-Chs ActiCap + BrainAmp MR-plus; 2x 64+8Aux-Chs BrainAmp ActiChamp Plus; 2x 8-Chs Enobio wireless EEG; 8-Chs Digitimer D360 EMG; 2x National Instruments DAQ USB-6289; VIEWPixx/EEG screen; DATAPixx Fiber-optic video I/O hub) ? Mechanical Lab; Electronic Lab; Local Computational Hub with 3x high-performance servers (1x optimised for serial tasks; 2x optimised for parallel tasks with multiple GPUs) N.B. The CTNSC has running collaborations or outposts to conduct research in clinical populations in the areas of neurosurgery (Udine Hospital, Ferrara Hospital), neurology (S. Lucia Rehabilitation Hospital in Rome, Gaslini Pediatric Hospital in Genoa, and Rehabilitation Unit of Ferrara Hospital) and psychiatry (Ferrara Hospital). Recent representative publications ? Nazzaro et al., (2023) The microstructure of intra- and interpersonal coordination. P Roy Soc B-Biol Sci, 290(2011), 20231576. ? Casarotto et al., (2023) Mechanisms of Hebbian-like plasticity in the ventral premotor ? primary motor network. J Physiol (London), 601(1), 211-226. ? Pastore et al., (2022) Speech listening entails neural encoding of invisible articulatory features. Neuroimage, 264, 119724. ? Tomassini et al., (2022) Interpersonal synchronization of movement intermittency. iScience, 25(4), 104096. ? Cardellicchio, et al., (2021) The role of dorsal premotor cortex in joint action stopping. iScience, 24 (11), 103330. ? Emanuele et al., (2021) Motor synergies: Evidence for a novel motor signature in autism spectrum disorder. Cognition, 213, 104652. ? Tomassini et al., (2020) Visual detection is locked to the internal dynamics of cortico-motor control. PLoS Biol, 18(10):e3000898. ? Hilt et al., (2020) Motor recruitment during action observation: effect of interindividual differences in action strategy. Cereb Cortex, 30(7), 3910?3920. For inquiries please contact: Prof. Alessandro D?Ausilio alessandro.dausilio at iit.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From tanya.brown at ae.mpg.de Thu Nov 30 05:28:20 2023 From: tanya.brown at ae.mpg.de (Brown, Tanya) Date: Thu, 30 Nov 2023 10:28:20 +0000 Subject: Connectionists: MINDVOYAGE w/ Uri Hasson | Dec 8 (hybrid event) Message-ID: [Inline image OWAPstImg513834] The Mindvoyage lecture series features prominent scholars from different disciplines including the humanities, biology, neuroscience and physics. Talks are dedicated to engaging in discussions related to novel, distinct and often controversial topics. The next talk will feature Uri Hasson on December 8, 2023 @ 10:00 CET Free | Hybrid event | All are welcome | Registration required CLICK HERE TO REGISTER [Inline image OWAPstImg934748] Abstract Deep language models as a cognitive model for natural language processing in the human brain Naturalistic experimental paradigms in cognitive neuroscience arose from a pressure to test, in real-world contexts, the validity of models we derive from highly controlled laboratory experiments. In many cases, however, such efforts led to the realization that models (i.e., explanatory principles) developed under particular experimental manipulations fail to capture many aspects of reality (variance) in the real world. Recent advances in artificial neural networks provide an alternative computational framework for modeling cognition in natural contexts. In contrast to the simplified and interpretable hypotheses we test in the lab, these models learn how to act in the world from massive amounts of real-world examples (big data) by optimizing big models with millions to billions of parameters. Surprisingly, such models' performance matches human performances on many cognitive tasks, including visual perceptions, language processing, and motor control. At the same time, these models sacrifice understanding in favor of competence by being able to act without knowing why their choices are optimal or preferable in a given context. In this talk, I will ask whether the human brain's underlying computations are similar or different from the underlying computations in deep neural networks. The ability to think and reason using natural language separates us from other animals and machines. In the talk, I will focus on the underlying neural process that supports natural language processing and language development in children. Our study aims to model natural language processing in the wild. I will provide evidence that our neural code shares some computational principles with deep language models. This indicates that, to some extent, the brain relies on overparameterized optimization methods to comprehend and produce language. At the same time, I will present evidence that the brain differs from deep language models as speakers try to convey new ideas and thoughts. Together, our findings expose some unexpected similarities to deep neural networks while pointing to crucial human-centric missing properties in these machines. Registration Link Hosted by Lucia Melloni and Tanya Brown from the Max Planck Institute for Empirical Aesthetics, on behalf of the ARC-COGITATE Consortium [Inline image OWAPstImg913088] My working hours may not be yours, respond in your own time Tanya Brown Scientific Project Manager | ARC-Cogitate Max Planck Institute for Empirical Aesthetics Gr?neburgweg 14, 60322 Frankfurt am Main, Germany tanya.brown at ae.mpg.de [1622818538171] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: OutlookEmoji-Inline image OWAPstImg9130887db6f7e9-c205-49a1-a4f7-3d623d238663.png Type: image/png Size: 11698 bytes Desc: OutlookEmoji-Inline image OWAPstImg9130887db6f7e9-c205-49a1-a4f7-3d623d238663.png URL: From mpavone at dmi.unict.it Thu Nov 30 09:39:35 2023 From: mpavone at dmi.unict.it (Mario Pavone) Date: Thu, 30 Nov 2023 15:39:35 +0100 Subject: Connectionists: MESS 2024 ~ autoDL meets HPC ~ 15-18 July 2024 Message-ID: <20231130153935.Horde.5gg8Xuph4B9laJ6n2hBVLmA@webmail.dmi.unict.it> Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2024 - Metaheuristics Summer School - Automated Deep Learning meets High-Performance Computing - 15-18 July 2024, Catania, Italy https://www.ANTs-lab.it/mess2024/ mess.school at ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- ** APPLICATION DEADLINE: 16th March 2024 ** MESS 2024 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide them with an overview on the metaheuristics techniques, and an in-depth analysis of the state-of-the-art. It is a full-immersion four-days course in the beautiful city of Catania whose goal is to offer all participants with a stimulating environment to study and learn advanced concepts and recent research in the fields of Metaheuristics, Optimization, Machine Learning and Artificial Intelligence, in general. The main theme of this edition is focused on ?Automated Deep Learning Meets High-Performance Computing?, that is how these research areas may interact and affect each other in order to develop reliable and robust solving methodologies for Big Data analysis, and data-driven problems. Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. ** LECTURERS + Aaron Klein, AWS Research Berlin, Germany Lecture#1: Introduction into AutoML: Hyperparameter Optimization Lecture#2: Introduction into AutoML: Neural Architecture Search + El-Ghazali Talbi, University of Lille1, France Lecture#1: TBA Lecture#2: TBA ~ More Lecturers will be announced soon ~ ** METAHEURISTICS COMPETITION All participants will be involved in the ?Metaheuristics Competition Race?, where each of them, individually or divided in working groups (no more than 3 people), will develop a metaheuristic solution for a given problem presented during the school. The top three of the competition ranking will receive the MESS 2024 award and will be involved in the writing of a manuscript dedicated to the competition that, afterwards, will be submitted to an international journal for possible publication. In addition, the remaining best ten in the ranking (excluding the top three, of course) will be invited to report their work in a manuscript which will be published in the special MESS 2024 Volume of the AIRO Springer Series. ** SHORT ORAL PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. The Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted during the application by *March 16, 2020*. ** MESS 2024 DIRECTORS: - Salvatore Greco, University of Catania, Italy - Mario Pavone, University of Catania, Italy - Andrea Schaerf, University of Udine, Italy - El-Ghazali Talbi, University of Lille1, France - Daniele Vigo, University of Bologna, Italy ** METAHEURISTICS COMPETITION CHAIRS: - Raffaele Cerulli, University of Salerno, Italy - Sara Ceschia, University of Udine, Italy - Mario Pavone, University of Catania, Italy - Andrea Schaerf, University of Udine, Italy ** MORE INFORMATION: https://www.ANTs-lab.it/mess2024/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 mobile: +39 3384342147 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ========================================================= MESS 2024 - Metaheuristics Summer School 15-18 July 2024, Catania, Italy mess.school at ANTs-lab.it https://www.ANTs-lab.it/mess2024/ https://www.facebook.com/groups/MetaheuristicsSchool/ ========================================================= From l.fabrizi at ucl.ac.uk Thu Nov 30 12:27:29 2023 From: l.fabrizi at ucl.ac.uk (Fabrizi, Lorenzo) Date: Thu, 30 Nov 2023 17:27:29 +0000 Subject: Connectionists: Postodoc Research Fellow Position in EEG at UCL, London, UK Message-ID: ??? Exciting opportunity! Postdoc research fellow wanted to join a new collaborative research project at UCL's Medawar Pain and Somatosensory Labs, UCLH and Birkbeck BabyLab/ToddlerLab, led by Dr. Lorenzo Fabrizi, Dr. Judith Meek and Prof. Emily Jones. Investigate the connection between early sensory experiences and long-term sensory processing in preterm-born neonates and children. Use EEG and novel sensory testing to identify individuals at risk of sensory challenges. Collaborate with experts in preterm brain imaging and neurodevelopment. Requires a background in Medical Physics, Bioengineering, Computational Neuroscience, or related fields, proficiency in brain imaging and programming, and strong communication skills. Apply here. Deadline 2nd of January 2024. Lorenzo Fabrizi, PhD Associate Professor Medical Research Foundation Fellow Neuroscience, Physiology and Pharmacology Department Room G17A, Medawar Building Bloomsbury Campus University College London Gower St, London WC1E 6BT office tel. 02031081888 (int. 51888) -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Thu Nov 30 09:39:35 2023 From: mpavone at dmi.unict.it (Mario Pavone) Date: Thu, 30 Nov 2023 15:39:35 +0100 Subject: Connectionists: MESS 2024 ~ autoDL meets HPC ~ 15-18 July 2024 Message-ID: <20231130153935.Horde.5gg8Xuph4B9laJ6n2hBVLmA@webmail.dmi.unict.it> Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2024 - Metaheuristics Summer School - Automated Deep Learning meets High-Performance Computing - 15-18 July 2024, Catania, Italy https://www.ANTs-lab.it/mess2024/ mess.school at ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- ** APPLICATION DEADLINE: 16th March 2024 ** MESS 2024 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide them with an overview on the metaheuristics techniques, and an in-depth analysis of the state-of-the-art. It is a full-immersion four-days course in the beautiful city of Catania whose goal is to offer all participants with a stimulating environment to study and learn advanced concepts and recent research in the fields of Metaheuristics, Optimization, Machine Learning and Artificial Intelligence, in general. The main theme of this edition is focused on ?Automated Deep Learning Meets High-Performance Computing?, that is how these research areas may interact and affect each other in order to develop reliable and robust solving methodologies for Big Data analysis, and data-driven problems. Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. ** LECTURERS + Aaron Klein, AWS Research Berlin, Germany Lecture#1: Introduction into AutoML: Hyperparameter Optimization Lecture#2: Introduction into AutoML: Neural Architecture Search + El-Ghazali Talbi, University of Lille1, France Lecture#1: TBA Lecture#2: TBA ~ More Lecturers will be announced soon ~ ** METAHEURISTICS COMPETITION All participants will be involved in the ?Metaheuristics Competition Race?, where each of them, individually or divided in working groups (no more than 3 people), will develop a metaheuristic solution for a given problem presented during the school. The top three of the competition ranking will receive the MESS 2024 award and will be involved in the writing of a manuscript dedicated to the competition that, afterwards, will be submitted to an international journal for possible publication. In addition, the remaining best ten in the ranking (excluding the top three, of course) will be invited to report their work in a manuscript which will be published in the special MESS 2024 Volume of the AIRO Springer Series. ** SHORT ORAL PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. The Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted during the application by *March 16, 2020*. ** MESS 2024 DIRECTORS: - Salvatore Greco, University of Catania, Italy - Mario Pavone, University of Catania, Italy - Andrea Schaerf, University of Udine, Italy - El-Ghazali Talbi, University of Lille1, France - Daniele Vigo, University of Bologna, Italy ** METAHEURISTICS COMPETITION CHAIRS: - Raffaele Cerulli, University of Salerno, Italy - Sara Ceschia, University of Udine, Italy - Mario Pavone, University of Catania, Italy - Andrea Schaerf, University of Udine, Italy ** MORE INFORMATION: https://www.ANTs-lab.it/mess2024/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 mobile: +39 3384342147 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ========================================================= MESS 2024 - Metaheuristics Summer School 15-18 July 2024, Catania, Italy mess.school at ANTs-lab.it https://www.ANTs-lab.it/mess2024/ https://www.facebook.com/groups/MetaheuristicsSchool/ ========================================================= From lmuller2 at uwo.ca Thu Nov 30 23:04:22 2023 From: lmuller2 at uwo.ca (Lyle Muller) Date: Fri, 1 Dec 2023 04:04:22 +0000 Subject: Connectionists: Postdoc Position in Computational/Theoretical Neuroscience (Western University) Message-ID: <5EC8A27D-2718-452A-9829-0C5A8E7125B6@uwo.ca> The lab of Lyle Muller (http://mullerlab.ca) at Western University (London, Ontario) has a postdoctoral position available in computational and theoretical neuroscience. This position will involve collaboration between our laboratory and researchers with expertise in advanced methods of brain imaging (Mark Schnitzer, Stanford), neuroengineering (Duygu Kuzum, UCSD), theoretical neuroscience (Todd Coleman, Stanford), and neurophysiology of visual perception (John Reynolds, Salk Institute for Biological Studies). In collaboration with this multi-disciplinary team, this researcher will apply new signal processing techniques for multisite spatiotemporal data to understand cortical dynamics during visual perception. This project will also involve development of spiking network models to understand the mechanisms underlying observed activity patterns. The project may include intermittent travel between labs to present results and facilitate collaborative work. This research will involve in-depth analyses of neural recordings and computational modeling. Prior experience with scientific computing languages (MATLAB, Julia, or Python) and signal processing is preferred. Western University offers an excellent research environment and support. Candidates can write to lmuller2 at uwo.ca with a CV. Selected applicants will be interviewed on a rolling basis starting immediately. Both the involved labs and the University are deeply committed to fostering diversity and scientific outreach. Applications from underrepresented groups are strongly encouraged, and any interested applicants are welcomed to write the PI directly with questions about the research environment. -- Lyle Muller http://mullerlab.ca -------------- next part -------------- An HTML attachment was scrubbed... URL: