From david at irdta.eu Sat Oct 1 04:41:16 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 1 Oct 2022 10:41:16 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Winter: early registration October 24 Message-ID: <1967592042.438478.1664613676408@webmail.strato.com> ****************************************************************** 8th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Winter Bournemouth, UK January 16-20, 2023 https://irdta.eu/deeplearn/2023wi/ *********** Co-organized by: Department of Computing and Informatics Bournemouth University Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: October 24, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Winter 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 and Lule?. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting 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, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. 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. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. 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 2023 Winter 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 2023 Winter will take place in Bournemouth, a coastal resort town on the south coast of England. The venue will be: Talbot Campus Bournemouth University https://www.bournemouth.ac.uk/about/contact-us/directions-maps/directions-our-talbot-campus 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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yi Ma (University of California, Berkeley), CTRL: Closed-Loop Data Transcription via Rate Reduction Daphna Weinshall (Hebrew University of Jerusalem), Curriculum Learning in Deep Networks Eric P. Xing (Carnegie Mellon University), It Is Time for Deep Learning to Understand Its Expense Bills PROFESSORS AND COURSES: Mohammed Bennamoun (University of Western Australia), [intermediate/advanced] Deep Learning for 3D Vision Matias Carrasco Kind (University of Illinois, Urbana-Champaign), [intermediate] Anomaly Detection Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Graph Representation Learning Seungjin Choi (Intellicode), [introductory/intermediate] Bayesian Optimization over Continuous, Discrete, or Hybrid Spaces Sumit Chopra (New York University), [intermediate] Deep Learning in Healthcare Luc De Raedt (KU Leuven), [introductory/intermediate] From Statistical Relational to Neuro-Symbolic Artificial Intelligence Marco Duarte (University of Massachusetts, Amherst), [introductory/intermediate] Explainable Machine Learning Jo?o Gama (University of Porto), [introductory] Learning from Data Streams: Challenges, Issues, and Opportunities Claus Horn (Zurich University of Applied Sciences), [intermediate] Deep Learning for Biotechnology Zhiting Hu (University of California, San Diego) & Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] A "Standard Model" for Machine Learning with All Experiences Nathalie Japkowicz (American University), [intermediate/advanced] Learning from Class Imbalances Gregor Kasieczka (University of Hamburg), [introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models Karen Livescu (Toyota Technological Institute at Chicago), [intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond David McAllester (Toyota Technological Institute at Chicago), [intermediate/advanced] Information Theory for Deep Learning Abdelrahman Mohamed (Meta), [intermediate/advanced] Speech Representation Learning for Recognition and Generation Dhabaleswar K. Panda (Ohio State University), [intermediate] Exploiting High-performance Computing for Deep Learning: Why and How? Fabio Roli (University of Cagliari), [introductory/intermediate] Adversarial Machine Learning Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Richa Singh (Indian Institute of Technology Jodhpur), [introductory/intermediate] Trusted AI Kunal Talwar (Apple), [introductory/intermediate] Foundations of Differentially Private Learning Tinne Tuytelaars (KU Leuven), [introductory/intermediate] Continual Learning in Deep Neural Networks Lyle Ungar (University of Pennsylvania), [intermediate] Natural Language Processing using Deep Learning Bram van Ginneken (Radboud University Medical Center), [introductory/intermediate] Deep Learning for Medical Image Analysis Yu-Dong Zhang (University of Leicester), [introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis 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 January 8, 2023. 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 January 8, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company 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 January 8, 2023. ORGANIZING COMMITTEE: Rashid Bakirov (Bournemouth, local co-chair) Marcin Budka (Bournemouth) Vegard Engen (Bournemouth) Nan Jiang (Bournemouth, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023wi/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. 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 courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2023wi/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Bournemouth University Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From anna.kalenkova at adelaide.edu.au Sat Oct 1 06:13:11 2022 From: anna.kalenkova at adelaide.edu.au (Anna Kalenkova) Date: Sat, 1 Oct 2022 10:13:11 +0000 Subject: Connectionists: CAiSE 2023 -- Call for Papers Message-ID: CALL FOR PAPERS ======================================================================= CAiSE 2023 - 35th International Conference on Advanced Information Systems Engineering 12 - 16 June 2023 Zaragoza, Spain Submission deadlines: Abstract ? 22 November 2022 Full paper ? 29 November 2022 Website link: https://caise23.svit.usj.es ========================================================================== The CAiSE?23 organization calls for full papers with a special emphasis on the theme of Cyber-Human Systems. The theme refers to various aspects of the interface between humans and technology, with the intention to advance models, methods, and theories relating to such systems. The conference is targeting the three types of papers. * Technical papers which describe original solutions (theoretical, methodological, or conceptual) in the field of IS Engineering. * Empirical papers?which 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. * Exploratory papers which 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. CAiSE?23 will feature the?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 recommended for inclusion in a special issue of Information Systems 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) Accepted papers will be presented at CAiSE?23 and published in the conference proceedings in the Springer Lecture Notes in Computer Science (LNCS). For more information on the topics and instructions refer to the CAiSE23 website link specified above. [cid:image001.png at 01D8D5CE.08C11340] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 999660 bytes Desc: image001.png URL: From kenneth_blum at harvard.edu Sat Oct 1 21:59:40 2022 From: kenneth_blum at harvard.edu (Blum, Kenneth I.) Date: Sun, 2 Oct 2022 01:59:40 +0000 Subject: Connectionists: Swartz postdoctoral fellowship in theoretical neuroscience at Harvard Message-ID: The Swartz Program at Harvard University seeks applicants for a postdoctoral fellow in theoretical and computational neuroscience Based on a grant from the Swartz Foundation, a Swartz postdoctoral fellowship is available at Harvard University with a start date in the fall of 2023. Postdocs join a vibrant group of theoretical and experimental neuroscientists and theorists in allied fields at Harvard?s Center for Brain Science. The Center for Brain Science includes faculty doing research on a wide variety of topics, including neural mechanisms of rodent learning, decision-making, and sex-specific and social behaviors; reinforcement learning in rodents and humans; human motor control; behavioral and fMRI studies of human cognition; circuit mechanisms of learning and behavior in worms, larval flies, and larval zebrafish; circuit mechanisms of individual differences in flies and humans; rodent and fly olfaction; inhibitory circuit development; retinal circuits; and large-scale reconstruction of detailed brain circuitry. Applications will be considered beginning October 1, 2022 and continuing until the position is filled. Interested applicants should immediately send a CV, statement of research interests, and arrange for three letters of reference to be sent to Haim Sompolinsky (haim at fiz.huji.ac.il) or Kenneth Blum (kenneth_blum at harvard.edu). Applications should have ?Swartz Fellowship? in the subject line. Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pal.johan.from at nmbu.no Mon Oct 3 03:14:58 2022 From: pal.johan.from at nmbu.no (=?utf-8?B?UMOlbCBKb2hhbiBGcm9t?=) Date: Mon, 3 Oct 2022 07:14:58 +0000 Subject: Connectionists: Head engineer/ Senior engineer in mechatronics Message-ID: Head engineer/ Senior engineer in mechatronics At the Faculty of Science and Technology, Department of Mechanical Engineering and Technology Management, a full-time one-year position is available as head engineer or senior engineer in mechatronics. The position is available immediately. It is funded by a Norwegian Research Council?s proof-of-concept project entitled ?Fully Automated Ultrasonication Robot for Homogenization of Biomass Samples (FABS)?. You will join a highly motivated, international team with competence in robotics, spectroscopy and data science developing a commercial version of the FABS robot to meet the industrial standards in robustness, reliability, and versatility. You will focus on the improvements of the mechatronics design and software development. We collaborate with external industrial suppliers for the industrialization of the robot. All applications are to be sent through the following link: https://www.jobbnorge.no/en/available-jobs/job/233200/head-engineer-senior-engineer-in-mechatronics Main tasks Industrial-level mechatronics design of the FABS robot Improve the robustness and user-friendliness of the software Test the system with various samples Document the development activities and tests Required qualifications: MSc or equivalent in mechatronics, computer science, robotics, or mechanical engineering Extensive, documented programming competence in Python, preferably in ROS Experience in development of industrial-level products The following experiences and skill will be emphasized: Experience in machine design and PCB design Experience in rapid prototyping Experience from project implementation/follow-up and reporting You need to: Speak and write English very well Have good communication and collaboration skills --- P?l Johan From, Ph.D. Professor Head of Robotics Group Faculty of Sciences and Technology Norwegian University of Life Science Postbox 5003 1432 ?s Norway tel: +47 67231603 cel: +47 90690932 e-mail: pafr at nmbu.no http://www.nmbu.no/go/robotikk http://www.nmbu.no/go/robotics? -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Oct 3 06:17:37 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 3 Oct 2022 13:17:37 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Henning_M?= =?utf-8?q?=C3=BCller=3A_=22Challenges_for_machine_learning_using_m?= =?utf-8?q?edical_data=22=2C_4_October_2022_17=3A00-18=3A00_CEST?= References: <141c01d8c8cf$64468bc0$2cd3a340$@csd.auth.gr> <00e301d8c9b4$b9e74f70$2db5ee50$@csd.auth.gr> <01bb01d8d3c7$e30ad440$a9207cc0$@csd.auth.gr> <004301d8d3df$32189830$9649c890$@csd.auth.gr> Message-ID: <03d701d8d711$5d301e00$17905a00$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Henning M?ller, a prominent AI researcher internationally, will deliver the e-lecture: ?Challenges for machine learning using medical data?, on Tuesday 4th October 2022 17:00-18:00 CEST (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/99123364723 & Passcode: 148148 Attendance is free. The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe, J. Stefanowski -------------- next part -------------- An HTML attachment was scrubbed... URL: From kiigaya at gmail.com Mon Oct 3 15:46:41 2022 From: kiigaya at gmail.com (Kiyohito Iigaya) Date: Mon, 3 Oct 2022 15:46:41 -0400 Subject: Connectionists: Research Center Coordinator at Columbia, NYC Message-ID: *Job: Research Center Coordinator * *Location: Columbia University Medical Center Campus, NYC* *Salary: $71,014-$90,079* We're developing a new Research Center for Computational Psychiatry at Columbia Psychiatry Department and seeking a qualified candidate for a Research Center Coordinator. The successful candidate will assist in organizing seminars and educational activities, computer and software testing and programming, and coordinating grant proposals and study administration. Our center is located at Columbia University Irving Medical Center Campus in NYC. Please apply: https://nyspi.applicantpro.com/jobs/2561878.html If you have any questions, please contact: Guillermo Horga: Guillermo.Horga at nyspi.columbia.edu Gaurav Patel: ghp2114 at cumc.columbia.edu Kyo Iigaya: ki2151 at columbia.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Tue Oct 4 01:26:38 2022 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Tue, 4 Oct 2022 05:26:38 +0000 Subject: Connectionists: [meetings] SSCI2022 tutorial on Ethical Challenges and Opportunities Message-ID: <46317F52-FE9F-4CF7-99DB-4CE92AD08D1D@ifi.uio.no> Dear Colleagues, Artificial intelligence (AI) has entered an increasing number of different domains. A growing number of people ? in the general public as well as in research ? have started to consider a number of potential ethical challenges and legal issues related to the development and use of AI technologies. Among the most important challenges are those related to privacy, fairness, transparency, safety and security. Countermeasures can be taken first at design time, second, when a user should decide where and when to apply a system and third, when a system is in use in its environment. In the latter case, there will be a need for the system by itself to perform some ethical reasoning if operating in an autonomous mode. In this tutorial, we would target to present a structured overview with a focus on the most important ethical issues and their countermeasures. It will also introduce some examples from our own and others ? work and how the challenges can be addressed both from a technical and human side. AI ethical issues should not be seen only as challenges but also as new research opportunities contributing to more sustainable, socially beneficial services and systems. The tutorial will be given 4 Dec 2022 and last for two hours. SSCI 2022 Tutorial overview: https://ieeessci2022.org/tutorial-schedule.html Tutorial organisers and speakers: - Professor Xin Yao, Southern University of Science and Technology (SUSTech), Shenzhen, China and part-time at University of Birmingham, UK - Professor Jim Torresen, University of Oslo, Norway Best regards, Jim Torresen on behalf of the tutorial organisers Jim Torresen Professor Department of Informatics University of Oslo PO Box 1080 Blindern N-0316 Oslo, Norway ==================== E-mail: jimtoer at ifi.uio.no Phone: +47 2285 2454 http://www.jimtoer.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From antona at alleninstitute.org Mon Oct 3 20:34:52 2022 From: antona at alleninstitute.org (Anton Arkhipov) Date: Tue, 4 Oct 2022 00:34:52 +0000 Subject: Connectionists: Jobs at the Allen Institute: linking neuronal function, cell types, and connectivity Message-ID: <03454800-5DD0-40ED-8D7F-6BA5F0F10EB7@alleninstitute.org> Dear Colleagues, We are hiring for multiple positions in a new ambitious project supported by the NIH U01 grant from the BICAN consortium (please see the announcement). Combining optical physiology in vivo with spatial transcriptomics and electron microscopy, we aim to link cell types of the mouse cortex with their function. The project is led by Marina Garrett (Allen Institute), Jack Waters (Allen Institute), Jerry Chen (Boston University), and Anton Arkhipov (Allen Institute). Scientist ? Imaging: The person in this position will lead experimental imaging work to utilize and improve the spatial transcriptomics platform used in this project. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2212881 Scientist ? Analysis of Connectome and Functional Activity: This scientist will focus on linking the connectome and morphologies of cortical neurons to their activity in vivo, using the Electron Microscopy (EM) volume of 1 mm3 of the mouse visual cortex obtained by the Allen Institute. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2209286 Scientist - Neurophysiology Data Analysis: This scientist will focus on the analysis of the visual physiology data from 2p calcium imaging in vivo to study neural coding and circuit dynamics. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2231731 Software Engineer - Tools for Neurophysiology Data Analysis: The software engineer will build software tools and infrastructure to support processing and analysis of multi-modal image-based datasets in this project. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2232755 Scientist - Neural Data Analysis: This scientist will focus on linking the 2p calcium imaging and spatial transcriptomics modalities for individual cells, including tasks like co-registration and exploration of statistical relationships between the functional and transcriptomics types. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1937290 Please consider applying and reach out if you have any questions. And we will appreciate it if you help us spread the word about these opportunities! Best wishes, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona at alleninstitute.org [Text Description automatically generated] alleninstitute.org brain-map.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 26603 bytes Desc: image001.png URL: From zren at l3s.de Tue Oct 4 12:05:55 2022 From: zren at l3s.de (Zhao Ren) Date: Tue, 04 Oct 2022 18:05:55 +0200 Subject: Connectionists: [Deadline extended] IEEE JBHI Journal Special Issue on "Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things" Message-ID: ==== IEEE JBHI Journal Special Issue on "Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things" ==== https://www.embs.org/jbhi/special-issues/trustworthy-and-collaborative-ai-for-personalised-healthcare-through-edge-of-things/ ----- Aims and Scope ----- The evolution of artificial intelligence (AI) has contributed to advances in personalised healthcare applications, from diagnosis to therapies. From the first generation of healthcare technologies for handling structured data to the current mainstream healthcare technologies (represented by Big Data platforms) for processing unstructured data, the history of AI in healthcare is closely related to the changes in the types and volumes of data we need to deal with. The next generation of healthcare technologies will be designed to deal with Edge-of-Things data, represented by a massive amount of streaming data generated from Internet-of-Things frameworks, Cloud systems, and Edge computing platforms. Benefiting from the encouraging results of AI on Big Data, AI for personalised healthcare through Edge-of-Things will pave the way for intelligent health-related applications on edge devices, such as smart sensors and wearable devices. For example, health data (e.g., images, audio recordings, and biosignals) can be processed by interactive virtual agents for health status reports and suggestions to individuals. Additionally, health data can also be transferred to clinicians for diagnosing diseases, making personalised treatment plans, and monitoring the health status of individuals. However, the variety and complexity of these data require the provision of new AI models and technologies able to process and analyse them in a trustworthy and collaborative way. In this context, the characteristics of trust and collaboration in AI systems are highly valuable for applying AI to personalised healthcare services. Trustworthy and collaborative AI is designed to encourage transparent, reliable, and unbiased AI systems and ensure their adequacy to tackle predictive and prescriptive healthcare problems. In order to be trustworthy and collaborative, such AI systems need to be able to understand what's wrong, figure out how to overcome the resulting problems, involve human intelligence in the discovery process, and then take what they have learnt to overcome those challenges for the future. This special issue's intended focus is advancements in all state-of-the-art trustworthy and collaborative AI techniques for personalised healthcare. In this trending area of personalised healthcare, the special issue is expected to promote related research studies and establish a new era of healthcare systems with AI. The special issue will highlight, but not be limited to the following topics: - Trustworthy AI models for health, medicine, biology, and biomedical applications - AI-driven Edge of Things infrastructure for healthcare - Discussion of the trade-off between explainability and performance of machine learning - Development of model-specific or model-agnostic approaches for explaining machine learning models - Generation and detection of adversarial attacks for safety in AI systems for personalised healthcare - Federated Learning for data privacy in AI systems for personalised healthcare - Fairness and bias issues in AI systems for personalised healthcare - Designing integrating virtual agents for healthcare usages - Collaborative robots for healthcare usages ----- Important Dates ----- Deadline for Submission: 31 Oct, 2022 First Reviews Due: 08 Dec, 2022 Revised Manuscript Due: 31 Jan, 2023 Final Decision: 1 March, 2023 ----- Submission Instructions ----- All manuscripts are to be submitted through ScholarOne https://mc.manuscriptcentral.com/jbhi-embs. When submitting your manuscript please select the article type 'Trustworthy and collaborative AI for personalised healthcare through edge-of-things (S1)'. Please submit your manuscript before the submission deadline. Please ensure you read the Author Guide before writing your manuscript on the Journal's homepage. ----- Guest Editors ----- Zhao Ren, Leibniz Universit?t Hannover, Germany, zren at l3s.de Bj?rn W. Schuller, Imperial College London, UK & Universit?t Augsburg, Germany, schuller at ieee.org Bj?rn M. Eskofier, Friedrich-Alexander-Universit?t Erlangen-N?rnberg, Germany, bjoern.eskofier at fau.de Tam Nguyen, Griffith University, Australia, t.nguyen19 at griffith.edu.au Wolfgang Nejdl, Leibniz Universit?t Hannover, Germany, nejdl at l3s.de From chz8 at aber.ac.uk Tue Oct 4 12:40:27 2022 From: chz8 at aber.ac.uk (Christine Zarges [chz8] (Staff)) Date: Tue, 4 Oct 2022 16:40:27 +0000 Subject: Connectionists: Call for Papers: EvoApps 2023 Special Session on Analysis of Evolutionary Computation Methods (Theory, Empirics, and Real-World Applications) Message-ID: <45F142E8-981E-4689-8005-34246AFFE4D8@aber.ac.uk> Dear colleagues, We are aware that there are already many mails about different EvoSTAR events, and we struggled whether we should add yet another one, but we thought that you might be interested to hear about our special session on Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications organized by Thomas Bartz-Beielstein, Carola Doerr, and Christine Zarges The main idea is to bring together people who are interested in building bridges between the theoretical analysis of EAs, their empirical evaluation, and/or their applications. We essentially welcome all papers that motivate such a bridge and/or are explicit about how results can be transferred in one way or the other. The official call for papers is here: https://www.evostar.org/2023/evoapps/tmp/ A text version can also be found below Submission deadline is November 1, Anywhere on Earth The conference will take place in beautiful Brno, Czech Republic, April 12-14, 2023 Do not hesitate to reach out if you would like to discuss a possible submission or if you have any other questions about the special session. Best wishes, Thomas Bartz-Beielstein, TH K?ln, Germany, thomas.bartz-beielstein at th-koeln.de Carola Doerr, Sorbonne Universit?, France, Carola.Doerr at lip6.fr Christine Zarges, Aberystwyth University, UK, chz8 at aber.ac.uk ***************************************************************************************************************** Call for Papers: EvoApps 2023 Special Session Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications http://www.evostar.org/2023/evoapps/tmp/ April 12-14, 2023 Brno, Czech Republic held as part of EvoStar (http://www.evostar.org/2022/) ***************************************************************************************************************** Theory, empirics, and practice are often considered in isolation in our research community. However, recent work has demonstrated that collaboration across the three different types of research can be highly mutually beneficial. For example, empirical results serve as proof of concept for real-world applications and inspiration for new theoretical considerations. Theoretical insights can provide necessary insights into problem properties and algorithm behaviour and hence improve the applicability of heuristics in empirics and practice. Real-world problems provide inspiration for new theoretical and empirical studies and inform the development of important benchmarks. This special session aims at bridging the gap between theory, empirics, and practice in evolutionary computation by fostering communication, discussion, and exchange across different parts of the community. Topics of Interest: We welcome contributions from all areas of evolutionary computation and other randomised search heuristic, irrespective of the nature of the considered problems or search spaces. Particular areas of interest include but are not limited to: - Carefully designed empirical studies - Theoretical work highlighting the insights generated by the analyses performed - Examples of successful knowledge transfer of theoretical analysis or empirical studies into a practical scenario - Theory that is inspired by phenomena observed in practice or empirical analyses - Efficient means to bridge the gap between theory, empirics, and practice such as benchmarking **** Submission Details **** Page limit: 16 pages, Springer LNCS format, double-blind reviewing process Submission link and details: https://www.evostar.org/2023/submit/ **** Important Dates **** Submission deadline: November 1, 2022 (AoE) EvoStar: April 12-14, 2023 **** Organizers **** Thomas Bartz-Beielstein, TH K?ln, Germany, thomas.bartz-beielstein at th-koeln.de Carola Doerr, Sorbonne Universit?, France, Carola.Doerr at lip6.fr Christine Zarges, Aberystwyth University, UK, chz8 at aber.ac.uk ---------------------------------------------------------------------------------------------------------------------- Y Brifysgol orau yn y DU am Ansawdd ei Dysgu a Phrofiad Myfyrwyr Best University in the UK for Teaching Quality and Student Experience (The Times and Sunday Times, Good University Guide 2021) Rydym yn croesawu gohebiaeth yn Gymraeg a Saesneg. Cewch ateb Cymraeg i bob gohebiaeth Gymraeg ac ateb Saesneg i bob gohebiaeth Saesneg. Ni fydd gohebu yn Gymraeg yn arwain at oedi. We welcome correspondence in Welsh and English. Correspondence received in Welsh will be answered in Welsh and correspondence in English will be answered in English. Corresponding in Welsh will not involve any delay. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomas.hromadka at gmail.com Tue Oct 4 12:07:43 2022 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Tue, 4 Oct 2022 18:07:43 +0200 Subject: Connectionists: COSYNE 2023: Meeting announcement; Call for Workshop Proposals; DEIA Committee Message-ID: <1733b709-b3be-1d66-3e7e-473d868d80a3@gmail.com> ==================================================== Computational and Systems Neuroscience 2023 (Cosyne) MAIN MEETING 09 - 12 March 2023 Montreal WORKSHOPS 13 - 14 March 2023 Mont-Tremblant www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- 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 23 November 2022. 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. IMPORTANT DATES Abstract submission opens: 05 October 2022 Workshop proposals deadline: 07 November 2022 Abstract submission deadline: 23 November 2022 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. ORGANIZING COMMITTEE General Chairs: Laura Busse (LMU Munich) and Tim Vogels (IST Austria) Program Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Workshop Chairs: Anna Schapiro (U Penn) and Andrew Saxe (Oxford) Tutorial Chair: Kanaka Rajan (Mount Sinai) DEIA Committee: Hysell Oviedo (CUNY) and Aman Saleem (UCL) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Sashank Pisupati (Princeton) Fundraising Chair: Michael Long (NYU) Social Media Chair: Grace Lindsay (Columbia) Audio-Video Media Chair: Carlos Stein Brito (EPFL) Poster Design: Xaq Pitkow (Rice) PROGRAM COMMITTEE Jessica Cardin (Yale) Co-chair Blake Richards (McGill) Co-chair Yashar Ahmadian (Cambridge) Mark Andermann (Harvard) Omri Barak (Technion) Brice Bathellier (Paris) Yoram Burak (Hebrew University) Johannes Burge (U Penn) Chandramouli Chandrasekaran (Boston U) SueYeon Chung (Columbia) Jeremiah Cohen (Allen Inst) Anne Collins (Berkeley) Christine Constantinople (NYU) Carina Curto (Penn State) Jan Drugowitsch (Harvard) Tatiana Engel (CSHL) Sean Escola (Columbia) Annegret Falkner (Princeton) Kevin Franks (Duke) Rainer Friedrich (FMI Basel) Andrea Hasenstaub (UCSF) Monika Jadi (Yale) Santiago Jaramillo (U Oregon) Kohitij Kar (MIT) Narayanan Kasthuri (U Chicago) Jens Kremkow (Berlin) Guillaume Lajoie (MILA) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Mackenzie Mathis (EPFL) Paul Miller (Brandeis) Ida Momennejad (Microsoft) Eilif Muller (U Montreal) Marieke Mur (Western U) Kathy Nagel (NYU) Daniel O'Connor (Johns Hopkins) Hysell Oviedo (CUNY) Il Memming Park (Stony Brook) Joseph Paton (Champalimaud) Adrien Peyrache (McGill) Xaq Pitkow (Rice) Kanaka Rajan (Mount Sinai) Nathalie Rochefort (Edinburgh) Aman Saleem (UCL) Cristina Savin (NYU) Tatyana Sharpee (Salk) Aparna Suvrathan (McGill) Saori Tanaka (ATR) Daniela Vallentin (MPI Ornithology) Melissa Warden (Cornell) Brad Wyble (U Penn) Marta Zlatic (Cambridge) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE DEIA COMMITTEE ----------------------------------------------------- The Cosyne Diversity, Equity, Inclusion, and Access (DEIA) committee aims to promote practices of inclusiveness at the meeting. We are currently seeking two additional committee members to participate in the planning for Cosyne 2023. To get involved, please see www.cosyne.org for details on how to apply. ----------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. - There will be 6-10 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning and late afternoon sessions. - Workshops will be held in Mont-Tremblant, QC, Canada. - Workshop speakers do NOT receive free registration, travel expenses, or accommodation for either the main meeting or the workshop sessions. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers, submitting a final schedule for the workshop program, and moderating the discussion. Organizers can, but need not, be speakers. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. Any required multimedia resources beyond a projector, screen, and microphones will be the responsibility of the workshop organizers to coordinate with Cosyne and the workshop venue A/V staff. EVALUATION CRITERIA As stated above, the goal of Cosyne workshops is to provide an interactive, informal forum for discussions. Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Workshop proposals will be evaluated by the Cosyne Workshop Chairs, and a subset of the proposals will be selected. The proposals will be evaluated according to the following six metrics (which will be weighted equally): - Relevance to the Cosyne community - Integration of experimental and theoretical issues - Current interest in the topic in the scientific community - Potential for new research directions and interactions to emerge - Distinctive scope/approach compared to other workshops (including previous years?) - Diversity and equity in the proposed speaker (we are looking for representation of women or nonbinary individuals, individuals from other underrepresented groups, and a balance of established and early career researchers) WORKSHOP FULL PROPOSALS - Deadline 07 November 2022 Past years have involved pre-proposal submissions, but this year we will process only full submissions, with a deadline of 07 November 2022. To submit your Cosyne 2023 Workshop Proposal, please visit Cosyne.org -> Workshops -> Call for Proposals In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a speaker can take part in no more than two Workshops. The proposals will include: - Name(s) and email address(es) of the organizers (2 organizers per session is strongly recommended, but 3 will be allowed). - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names and email addresses of speakers, who should already have agreed to participate should the proposal be accepted. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. - A brief resume of the workshop organizer(s) along with a short list of workshop-relevant publications (about half a page total). - A description of how you have addressed diversity and equity in your workshop. Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and to have plenty of breaks. We recommend keeping the number of talks small (i.e., fewer than 10 talks per day). WORKSHOP COSTS Detailed registration costs, etc, will be at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2023 WORKSHOP CHAIRS Anna Schapiro (U Penn) and Andrew Saxe (Oxford) COSYNE WORKSHOPS CONTACT workshops [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 yaser.amd at gmail.com Tue Oct 4 16:35:53 2022 From: yaser.amd at gmail.com (Yaser Jararweh) Date: Tue, 4 Oct 2022 23:35:53 +0300 Subject: Connectionists: FMEC 2022 CFP: The Seventh International Conference on Fog and Mobile Edge Computing , Paris, France. December 12-15, 2022 Message-ID: [Apologies if you got multiple copies of this invitation] The Seventh International Conference on Fog and Mobile Edge Computing (FMEC 2022) emergingtechnet.org/FMEC2022/index.php Paris, France. December 12-15, 2022 Technically Co-Sponsored by IEEE France Section *FMEC 2022 CFP:* Cloud computing provides a large range of services and virtually unlimited available resources for users. New applications, such as virtual reality and smart building control, have emerged due to the large number of resources and services brought by cloud computing. However, the delay-sensitive applications face the problem of large latency, especially when several smart devices and objects are getting involved in human?s life such as the case of smart cities or Internet of Things. Therefore, cloud computing is unable to meet the requirements of low latency, location awareness, and mobility support. To solve this problem, researchers have introduced a trusted and dependable solution through the Fog and the Mobile Edge Computing (FMEC) to put the services and resources of the cloud closer to users, which facilitates the leveraging of available services and resources in the edge networks. By this, we are moving from the core (cloud data centers) to the edge of the network closer to the users. FMEC dependability is based on providing user centric service. The purpose of Fog and the Mobile Edge Computing is to run the heavy real-time applications at the network edge directly using the billions of connected mobile devices. Several features enable the Fog and the Mobile Edge Computing to be a perfect paradigm to the aforementioned purpose, which are the dense geographical deployment of servers, supporting mobility and the closeness to users. As in every new technology, some challenges face the vision of the Fog and the Mobile Edge Computing, which are the administrative policies and security concerns (i.e. secure data storage, secure computation, network security, data privacy, usage privacy, location privacy, etc). FMEC 2022 conference aims to investigate the opportunities and requirements for Mobile Edge Computing dominance. In addition, it seeks for novel contributions that help mitigating Mobile Edge Computing challenges. That is, the objective of FMEC 2022 is to provide a forum for scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Fog and Mobile Edge Computing (FMEC). FMEC 2022 is Technically Co-Sponsored by IEEE France Section. Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to: * Mobile Cloud Computing Systems. * FMEC Security and Privacy Issues. * FMEC Pricing and billing models. * FMEC support for VANETS and MANETS * Cloudlet based computing * Dew based computing * Lightweight authentication mechanisms in FMEC architecture. * Access Control models in FMEC. * Identification of incentives for FMEC service providers. * The future perspective for FMEC: Challenges and Open Issues. * FMEC Quality of Service (QoS) improvements techniques. * FMEC architecture features and evolution. * FMEC Real-time communication interfaces and protocols. * FMEC Resource scheduling that enhances the reliability and scalability. * FMEC Resources monitoring mechanism and utilization measuring mechanism. * FMEC resources allocation and management. * Real-time load prediction model to optimize the user satisfaction. * FMEC virtualization. * Data storage, processing, and management at FMEC platform. * Cyber hacking, next generation fire wall of FMEC. * Deployment strategies of FMEC Servers * Admission control for FMEC. * Social engineering, insider threats, advance spear phishing. * Incident Handling and Penetration Testing. * Forensics of Virtual and FMEC Environments. * Security protocols in FMEC. * Security and privacy of mobile cloud computing * Security, privacy and reliability issues of MCC and IoT * Security and privacy of IoT * Security and privacy management in MCC * MCC intrusion detection systems * Security of pricing and billing for mobile cloud computing services * Security of mobile, peer-to-peer and pervasive services in clouds * Security of mobile commerce and mobile Internet of Things * Security of mobile social networks * Security and privacy in smartphone devices * Security and privacy in social applications and networks * Security of Mobile, peer-to-peer and pervasive services in clouds * Security of Mobile commerce and mobile internet of things * Security of Operating system and middleware support for mobile computing * Security and privacy in sensor networks * Security and privacy in social applications and networks * Web service security * Security of 3G/4G systems, Wi-MAX, Ad-hoc * Security of Mobile social networks * Near field communication services * Service-oriented architectures, service portability, P2P * Network virtualization and cloud-based radio access networks *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FMEC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *Important Dates* Submission Date: 20 October, 2022 Notification to Authors: 15 November , 2022 Camera Ready Submission: 30 November, 2022 *Workshops:* The Seventh International Workshop on Internet of Things: Networking Applications and Technologies (IoTNAT 2022) . The Fifth International workshop on Software Defined Networks and Network Function Virtualization (SDN-NFV 2022) The Fifth International Workshop on Smart Cities Systems Engineering (SCE 2022) The International Workshop on Smart Community with IoT, Cloud, and Edge Computing (SCICE 2022) The Third International Workshop on Blockchain Applications and Theory (BAT 2022) The Fifth International Symposium on 5G Emerging Technologies (5GET 2022) The 4th International Symposium on Future Cyber Security Technologies (FCST 2022) The International Symposium on Software Defined Networks and Mobile Edge Computing (SDMEC 2022) The International Symposium on Software Engineering for Cloud, Edge and Internet of Things Systems (SECEI 2022) The International Workshop for Software Defined Everything (SDE2022) *Contact:* Please send any inquiry on FMEC 2022 to Emerging Tech. Network Team at: emergingtechnetwork at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Wed Oct 5 04:13:29 2022 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Wed, 5 Oct 2022 11:13:29 +0300 Subject: Connectionists: Call-for-Projects H2020 AI4Media Open Call for SMEs, entrepreneurs, and researchers in the AI and Media sectors Message-ID: ----------------- AI4Media Open Call #2 for up to ?50,000 in funding Who can apply: SMEs, entrepreneurs, & researchers Topics: AI and Media sectors More information https://www.ai4media.eu/open-call-2/ ----------------- The AI4Media project has ?500,000 to fund 10 projects to deliver innovative research and application solutions in the AI and Media domains. Submissions to the AI4Media - Open Call #2 are open starting 29 September 2022 and run until 30 November 2022 (17h00 CEST). Do not miss the opportunity! AI4Media, funded under the European Union?s Horizon 2020 research and innovation programme, aims to become a Centre of Excellence by engaging a wide network of researchers across Europe and beyond, focusing on delivering the next generation of core AI advances and training to serve the Media sector, while ensuring that the European values of ethical and trustworthy AI are embedded in future AI deployments. The AI4Media - Open Call #2 invites single entities, including entrepreneurs, SMEs, researchers, and research organisations to submit project proposals for the development of innovative research and application solutions to advance the use of AI in the media. Proposals can target either the Research or Application track and must address one of the defined challenges. The objective is to develop new research and applications and contribute to the AI4Media research and innovation ecosystem and the AI-on-demand platform. ************** WHAT DOES THE OPEN CALL OFFER? The AI4Media - Open Call #2 offers awarded projects with equity-free funding and tailored support, namely: - Equity-free funding: Up to ?50.000 per project. - Market-driven services: dedicated boot camps and online events to support market take-up of developed applications. - Business support: Business support to promote SME?s innovations and demonstrate technologies to cluster organisations and media stakeholders. - Research coaching: Research-focused projects will be allocated a coach to support the promotion of the research developed and integration in the AI4Media network. - Visibility and promotion: major visibility, promotion and networking opportunities are offered as part of the AI4Media project and related networks. ************** HOW DO I PARTICIPATE? To apply, you must first be registered on F6S to submit your proposal. Visit the AI4Media website to access all information about the open call, including guidelines, the challenge descriptions, evaluation procedures, and other details. You will also access a set of templates that are required to submit along with your proposal. The proposal must be submitted on F6S by 30 November 2022 (17h00 CET). All proposals submitted will be verified, evaluated, and contacted with their result. Awarded proposals will enter into an agreement with AI4Media. Online information webinars will be held during the open call. Stay tuned to the AI4Media website and social media channels for additional details. Awarded projects will implement their projects over the course of 9 months (Application projects) or 12 months (Research projects) divided into three stages. AI4Media will monitor and support the projects in each of these stages. ************** APPLY NOW! Apply now to the AI4Media - Open Call #2, running from 29 September 2022 to 30 November 2022: https://www.f6s.com/ai4media-open-call-2/apply. For more information, please visit AI4Media at https://www.ai4media.eu/open-call-2/, follow us on Twitter, Facebook, LinkedIn, and YouTube, or reach out to opencall2 at ai4media.iti.gr. Join us and take part in the #AI and #media revolution. On behalf of the organizers, Bogdan Ionescu https://www.AIMultimediaLab.ro/ From sahidullahmd at gmail.com Wed Oct 5 23:17:48 2022 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Thu, 6 Oct 2022 08:47:48 +0530 Subject: Connectionists: ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild Message-ID: *Apologies for cross-posting* Dear colleagues, we are pleased to announce release of the keys and detailed metadata for the ASVspoof 2021 logical access (LA), physical access (PA) and deepfake (DF) databases used for the ASVspoof 2021 challenge (website: https://www.asvspoof.org/index2021.html). Each database consists of real bonafide (human) and spoofed speech generated with diverse spoofing attack algorithms. The databases are available under an Open Data Commons Attribution Licence and can be downloaded from the Zenodo repository: SPEECH DATA: Link to the LA subset: https://zenodo.org/record/4837263 Link to the PA subset: https://zenodo.org/record/4834716 Link to the DF subset: https://zenodo.org/record/4835108 EVALUATION KEYS AND METADATA: Link to the LA keys and metadata: https://www.asvspoof.org/asvspoof2021/LA-keys-full.tar.gz Link to the PA keys and metadata: https://www.asvspoof.org/asvspoof2021/PA-keys-full.tar.gz Link to the DF keys and metadata: https://www.asvspoof.org/asvspoof2021/DF-keys-full.tar.gz CHALLENGE BASELINES & SCRIPTS TO COMPUTE EER and min t-DCF: https://github.com/asvspoof-challenge/2021 POST-CHALLENGE ANALYSIS PAPER: Finally, an overview article on the ASVspoof 2021 challenge has been submitted to IEEE/ACM-T-ASLP. It contains a detailed analysis of the results, limitations and potential future directions and is available from arXiv: https://arxiv.org/abs/2210.02437 We hope the databases and additional resources will be of use for benchmarking and future research. Best regards, Xuechen Liu, Xin Wang, Md Sahidullah, Jose Patino, H?ctor Delgado, Tomi Kinnunen, Massimiliano Todisco, Junichi Yamagishi, Nicholas Evans, Andreas Nautsch and Kong Aik Lee Contact: info at asvspoof.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From franrruiz87 at gmail.com Thu Oct 6 03:49:12 2022 From: franrruiz87 at gmail.com (=?UTF-8?Q?Francisco_J=2E_Rodr=C3=ADguez_Ruiz?=) Date: Thu, 6 Oct 2022 08:49:12 +0100 Subject: Connectionists: ICBINB Monthly Seminar Series Talk: Mariia Vladimirova Message-ID: Dear all, We are pleased to announce that the next speaker of the *?I Can?t Believe It?s Not Better!? (**ICBINB)* virtual seminar series will be *Mariia Vladimirova** (**Inria Grenoble Rhone-Alpes**)*. More details about this series and the talk are below. The *"I Can't Believe It's Not Better!" (ICBINB) monthly online seminar series* seeks to shine a light on the "stuck" phase of research. Speakers will tell us about their most beautiful ideas that didn't "work", about when theory didn't match practice, or perhaps just when the going got tough. These talks will let us peek inside the file drawer of unexpected results and peer behind the curtain to see the real story of *how real researchers did real research*. *When: *October 20th, 2022 at 10am EDT / 4pm CEST / 7am PDT *Where: *RSVP for the Zoom link here: https://us02web.zoom.us/meeting/register/tZwtc--vqTsjE9MY5uo86UxMOsK6TLwSdHoU *Title:* *Heavy tails in Bayesian neural networks: expectation and reality* *Abstract:** The finding of the connection between the Gaussian process and deep Bayesian neural networks in the wide limit increased the interest in research on Bayesian neural networks. On one side, it helped to reason about existing works and their assumptions, such as Gaussian activations assumption in the Edge of Chaos effect, or tuning priors over functions to get closer to some GP. On another side, it gave a new perspective to Bayesian neural networks that lead to the study of the training dynamics through the neural tangent kernel, improvements in variational inference, uncertainty quantification, and others.* *However, empirically, the distance between a hidden unit distribution and a Gaussian process increased with depth for the same number of hidden units per layer. So one of the main directions became the study of the difference between finite and infinite width neural networks.We showed the sub-Weibull and Weibull-tail properties of hidden units conjecturing that hidden units are heavier-tailed with going deeper in the network. This tail description reveals the difference between hidden units? in finite- and infinite-widths. There are also parallel works that show the full description of hidden units? distributions through Meijer G-functions that are consistent with our heavy-tailed result.We found theoretically that the tail parameter increases linearly with depth. However, we could not observe the theoretical tail parameter empirically. At least, not that precise. In this talk, I give a retrospective on this line of work about the Bayesian neural networks. Further, I give details and possible explanations of our empirical results.* *Bio:* *Mariia Vladimirova is a PostDoc researcher at Inria Grenoble Rhone-Alpes in the Statify team. Her research mostly focuses on exploring distributional properties of Bayesian neural networks. More specifically, she is interested in explaining the difference between deep learning models of wide and shallow regimes in order to improve the interpretability and efficiency of the models.* *Mariia Vladimirova did her graduate studies in Statify and Thoth teams under supervision of Julyan Arbel and Jakob Verbeek . During November 2019-January 2020, she was visiting Duke University and working on prior predictive distributions in BNNs under supervision of David Dunson . Prior to that, she obtained my Bachelor degree at Moscow Institute of Physics and Technology (MIPT) and did the second year of Master program at Grenoble Institute of Technology (Grenoble ? INP, Ensimag ).* For more information and for ways to get involved, please visit us at http://icbinb.cc/, Tweet to us @ICBINBWorkhop , or email us at cant.believe.it.is.not.better at gmail.com. -- Best wishes, The ICBINB Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcel.van.gerven at gmail.com Thu Oct 6 03:15:10 2022 From: marcel.van.gerven at gmail.com (Marcel van Gerven) Date: Thu, 6 Oct 2022 09:15:10 +0200 Subject: Connectionists: PhD researcher in modeling and control of neural systems Message-ID: <4210DC4A-C0DB-42BC-99FC-2238FF3AFFE1@gmail.com> The AI Department of the Donders Institute for Brain, Cognition and Behaviour is looking for a PhD researcher in modeling and control of neural systems as part of the DBI2 consortium (https://dbi2.nl ). You will be expected to co-develop a computational framework to further our understanding of how natural agents solve closed-loop control problems. This entails the development of multi-agent simulations, incorporation of new brain-inspired reinforcement learning algorithms and placing the results in a neuroscientific context. You are further expected to publish your work in high-impact machine learning and neuroscience conferences and journals, help develop the AI-related component of the research program, be an active member of the consortium with excellent communication skills, share our enthusiasm and have the ability to work together in a team. The Donders Institute provide excellent facilities such as computing facilities, a robot lab, a virtual reality lab, behavioural labs, and a technical support group. The AI Department is also a founding member of Radboud AI and the ELLIS Unit Nijmegen (European Excellence Network in Machine Learning). You will join the Artificial Cognitive Systems (ACS) group headed by Prof. van Gerven and interact closely with other machine learning researchers and computational neuroscientists. If you are interested, please check out https://www.ru.nl/en/working-at/job-opportunities/phd-candidate-modelling-control-in-neural-systems-at-the-donders-centre-for-cognition and feel encouraged to apply (deadline October 9!). -------------- next part -------------- An HTML attachment was scrubbed... URL: From bei.xiao at gmail.com Thu Oct 6 22:04:53 2022 From: bei.xiao at gmail.com (bei.xiao at gmail.com) Date: Thu, 6 Oct 2022 22:04:53 -0400 Subject: Connectionists: Registration is open for British Machine Vision Conference (BMVC 2022), London, November 21-24 Message-ID: Just a reminder that the registration is open for the 33rd British Machine Vision Conference (BMVC). Please follow the link for registration and information on how to attend the conference: https://www.bmvc2022.org/attending/registration/ The British Machine Vision Conference (BMVC) is one of the major international conferences on computer vision and related areas. It is organised by the British Machine Vision Association (BMVA). The 33rd BMVC will now be a hybrid event from 21st?24th November 2022.Our local in person meeting will be held at The Kia Oval (Home of Surrey County Cricket Club, https://events.kiaoval.com/). More details of the conference can be found on the website: https://www.bmvc2022.org Accepted papers can be found here: https://bmvc2022.org/programme/papers/ With regards, BMVC Organizing team https://bmvc2022.org/people/organisers/ -- Bei Xiao, PhD Associate Professor Computer Science & Center for Behavioral Neuroscience American University, Washington DC Homepage: https://sites.google.com/site/beixiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From laszlojeni at cmu.edu Thu Oct 6 11:49:45 2022 From: laszlojeni at cmu.edu (Laszlo A. Jeni) Date: Thu, 6 Oct 2022 17:49:45 +0200 Subject: Connectionists: Call for papers: 1st Behavioral Digital Twins for Smart Cities Workshop @ FG 2023 & WACV 2023 Message-ID: ********************************************************************** 1st Behavioral Digital Twins for Smart Cities Workshop Co-located with FG 2023 & WACV 2023 Dates: January 6, 2023 (half day workshop in the afternoon) Place: Waikoloa Hawaii, USA (Co-located with WACV 2023) Website: https://digitaltwins2023.github.io CMT is open: https://cmt3.research.microsoft.com/B4SCW2023 ********************************************************************** --------------- DESCRIPTION --------------- Digital twin is a virtual environment that allows us to simulate real world problems. For digital twin, one of the most important factors is human behavior modeling since it is required by many digital twin applications, such as crime and accident prevention, mitigation strategies in natural disasters, autonomous driving, health coaching and sports simulation. However, because of the complexity of human behavior, there are still many challenges unsolved. To address the challenges, multiple research fields need to be involved together, including computer vision, behavior science, human-computer interaction, and AR/VR. This topic is germane to both computer vision and computational behavior communities. In this workshop, we aim to facilitate further discussion on this emerging research field from both technological and application perspectives. The outcomes of this workshop are relevant to building behavioral digital twins of pedestrians in smart cities equipped with sensor networks. During natural disasters, such as the COVID-19 pandemic, modeling behavioral patterns may lead to mitigation policies with greater efficiency and effectiveness, can identify cost-effective solutions to deliver public services, improve government accountability vis-`a-vis citizens and track progress and impact. This workshop will serve as a catalyst to bring diverse stakeholders together so that new scientific languages/thoughts can be established, to address the societal challenges of creating behavior sensing systems that account for the diversity of people and their environments. ========= Topics ========= In this workshop, the topics of interest include but are not limited to: - Human pose estimation/tracking - Human action recognition - Human pose/action/trajectory forecasting - Visualizations of human trajectory/action - Human-human interaction analysis/forecasting - Human-object interaction detection/forecasting - Multi-sensor fusion for human behavior understanding - Applications of human behavior understanding/forecasting --------------- SUBMISSION --------------- All accepted papers will be published as part of IEEE FG2023 proceedings and will be included in IEEE Xplore, therefore, should follow the same paper guidelines of the conference. http://fg2023.ieee-biometrics.org/participate/submission For paper submission, please use the CMT site: https://cmt3.research.microsoft.com/B4SCW2023 --------------- IMPORTANT DATES --------------- October 12, 2022: Submission of full paper October 19, 2022: Notification of acceptance October 31, 2022: Camera-ready full paper --------------- WORKSHOP CHAIRS --------------- Koichiro Niinuma, Fujitsu Research of America, USA Laszlo A. Jeni, Carnegie Mellon University, USA Takahisa Yamamoto, Fujitsu Research of America, USA Ryosuke Kawamura, Fujitsu Limited, Japan -- +------------------------------------------ | Laszlo A. Jeni, PhD | Systems Scientist (faculty) | Robotics Institute | Carnegie Mellon University, | Web: http://www.laszlojeni.com | Email: laszlojeni at cmu.edu | Tel: (+1) 412-268-4461 +------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From wgilpin at utexas.edu Thu Oct 6 13:24:11 2022 From: wgilpin at utexas.edu (Gilpin, William) Date: Thu, 6 Oct 2022 17:24:11 +0000 Subject: Connectionists: Postdoc positions in statistical learning for dynamical systems at UT Austin Message-ID: <9D667A6F-E69F-48C4-AEEB-7D81EB62B291@utexas.edu> The dynamical systems group at UT Austin seeks applications for a postdoctoral researcher to work alongside Professor William Gilpin and our team (gilpinlab.github.io). Our curiosity-driven research group is broadly interested in computational approaches to understanding natural systems. We are very excited to hear from researchers with diverse scientific experience; right now we are working on the following areas: + Developing new statistical learning techniques grounded nonlinear dynamics and statistical physics + Stabilizing and controlling nonlinear signals based on sparse time series measurements + Analogue computation and learning in soft materials We?re located in the Center for Nonlinear Dynamics within UT?s physics department (https://chaos.utexas.edu/). The group is also affiliated with the interdisciplinary Oden Institute for Computational Science and Engineering, and we enjoy interacting with our colleagues in other departments such as Integrative Biology and Dell Medical School. Our lab is located on the fourteenth floor of UT?s Physics-Math-Astronomy building. You will have very broad latitude and independence to pursue your research interests. A strong programming background would be preferred, as well as some familiarity and interest in designing and releasing replicable open-source code. ### Applying Applications will be considered on a rolling basis until the position is filled. This position is fully-funded for three years, subject to annual renewal. Reach out to William directly at wgilpin at utexas.edu. Please include a CV or resume, and please mention which area of the lab?s research you are interested in (or if you want to explore a new area). ### Benefits + Postdocs have identical benefits to faculty: fully-covered medical, pension, and retirement match + Relocation and visa support + Competitive salary; we can also ?top off? external funding to higher pay rates if needed + Dedicated travel/research funds ????????????????????????????????????????????? William Gilpin Assistant Professor of Physics at UT Austin The Oden Institute for Computational Engineering and Sciences http://www.wgilpin.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Thu Oct 6 15:16:57 2022 From: jkrichma at uci.edu (Jeffrey Krichmar) Date: Thu, 6 Oct 2022 12:16:57 -0700 Subject: Connectionists: CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation Message-ID: <322F9EC2-81E2-4ECB-999E-0E76430D437B@uci.edu> Dear Connectionists, We are pleased to announce the release of CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation. Abstract. The CARLsim SNN platform is one of the first Open Source simulation systems that utilized CUDA GPUs to address the tremendous parallel processing demands of natural brains. It has evolved over almost a decade in numerous scientific research projects requiring efficient biologically plausible modeling at scale. With its sixth major release, CARLsim 6 respects this legacy by supporting the latest versions of operating systems, development tool chains, multi-core computers, and of course GPUs. It runs on a range of platforms; from Notebooks up to the NVIDIA DGX-A100 supercomputer, and is used in biologically plausible simulations of the hippocampus and neocortex. The latest version has added flexibility for incorporating long-term and short-term synaptic plasticity. Neuromodulation is an important property of neurobiology that can lead to rapid few shot learning, network rewiring, and neural activity modulation. Because of this, CARLsim 6 now supports four multiple neuromodulators for simulating neural excitability and synaptic plasticity. Software: https://github.com/UCI-CARL/CARLsim6 A paper describing CARLsim 6 can be found here: https://ieeexplore.ieee.org/document/9892644 A video describing CARLsim 6 can be found here: https://www.youtube.com/watch?v=6d97ElAiKjc 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 stdm at zhaw.ch Fri Oct 7 03:45:45 2022 From: stdm at zhaw.ch (Stadelmann Thilo (stdm)) Date: Fri, 7 Oct 2022 07:45:45 +0000 Subject: Connectionists: =?windows-1252?q?Job_in_Winterthur/Switzerland=3A?= =?windows-1252?q?_Experienced_Researcher_in_Deep_Learning_=26_Computer_Vi?= =?windows-1252?q?sion_80_=96_100_=25?= Message-ID: Dear colleagues, I am looking for a new team member and close partner in my Computer Vision, Perception & Cognition Group at the ZHAW Centre for AI: https://www.zhaw.ch/en/jobs/vacant-positions/job-details/job/detail/2879573/ Best, Thilo ------------------------------------------------------------------------------------------------------------- ZHAW School of Engineering Prof. Thilo Stadelmann, Dr. rer. nat., FECLT, SMIEEE Director of Centre for Artificial Intelligence Head of Computer Vision, Perception and Cognition Group Phone: +41 58 934 72 08, fax: +41 58 935 72 08 Email: thilo.stadelmann at zhaw.ch Web: www.zhaw.ch/cai, http://stdm.github.io Office: TN 03.64, Technikumstrasse 71, CH-8400 Winterthur Postal address: ZHAW School of Engineering, Thilo Stadelmann, Postfach, CH-8401 Winterthur, Switzerland Site plan: https://www.zhaw.ch/storage/shared/hochschule/lageplaene/lageplan-winterthur-technikumstrasse.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From chris.warren at usu.edu Fri Oct 7 14:26:28 2022 From: chris.warren at usu.edu (Christopher Warren) Date: Fri, 7 Oct 2022 18:26:28 +0000 Subject: Connectionists: Tenure-track Assistant Professor position in the Brain and Cognition PhD Specialization at Utah State University Message-ID: The Psychology Department at Utah State University seeks candidates for a tenure-track Assistant Professor position in the Brain and Cognition PhD Specialization. Candidates with backgrounds in Cognitive Neuroscience, Computational Neuroscience, Computational Neuropsychiatry, Neuropsychology, and Developmental Psychology are especially encouraged to apply. We are particularly interested in candidates with research programs focused on dementia and related processes to synergize with the newly launched Alzheimer?s Disease and Dementia Research Center. However, we encourage applications from all qualified candidates with research interests broadly related to cognitive neuroscience. Located on the main campus in Logan, Utah, this is a 1 FTE, 9-month academic year position. Review of applications will begin November 28, 2022, and will continue until the position is filled. The anticipated start date for the position is August 1, 2023. This position is not eligible for remote work. If you have questions about the position, please contact the search committee chair, Dr. Kerry Jordan, at Kerry.Jordan at usu.edu. Responsibilities * Conduct and disseminate research (e.g., establish a research program, publish in peer-reviewed journals). * Actively pursue external funding to support a flourishing research program. * Teach graduate and undergraduate classes within areas of expertise and specialization or department needs. * Mentor graduate students within the brain & cognition specialization and/or interdepartmental neuroscience PhD program (e.g., chair thesis and dissertation committees, direct a research lab that involves graduate students, and support students in progressing toward graduation). * Advance equity, diversity, and inclusion in research, teaching, and mentoring activities. * Contribute service to the department, college, university, and profession. Qualifications Minimum Qualifications 1. Earned doctoral degree in an area related to our Brain and Cognition specialization. ABD will be considered if a clear plan for completion exists. 2. Have a research program broadly related to cognition and neuroscience. 3. Show evidence of ability to effectively conduct and disseminate research that has the potential to lead to external funding. 4. Show evidence of ability to teach and mentor students effectively. 5. Show commitment to advancing equity, diversity, and inclusion in research, teaching, and mentoring. 6. Show effective oral, written, and interpersonal skills. Preferred Qualifications 1. Have a research program in cognitive neuroscience/computational neuropsychiatry/related disciplines. 2. Have interest in conducting research on dementia, aging, and related processes in collaboration with USU?s Alzheimer?s Disease and Dementia Research Center. 3. Show evidence of ability to teach graduate coursework on quantitative methods (e.g., Bayesian statistics, psychometrics, structural equation modeling, longitudinal analyses). 4. Show evidence of experience with grant-funded research. Required Documents Along with the online application, please attach: 1. Current curriculum vita (CV) to be uploaded in the Candidate Profile 2. Materials evidencing research potential and productivity (i.e., up to 3 publications) to be uploaded in the Candidate Profile under Documents 1-10 3. Materials evidencing teaching/mentorship potential and effectiveness (e.g., student course evaluations, publications authored by students you have mentored) to be uploaded in the Candidate Profile under Documents 1-10 4. Names and Contact information for at least three professional references who are familiar with the candidates research and/or teaching and mentoring to be entered in the Candidate Profile 5. Cover Letter highlighting fit with minimum and preferred qualifications (approx. 1?2 single-spaced pages) to be typed/pasted at the end of your application under "Cover Letter" 6. Teaching and mentorship statement describing philosopjy, accomplishments, and future teaching/mentoring agenda (approximately 1 single-spaced page) to be typed/pasted at the end of your application under "Teaching Philosophy" 7. Research statement describing interests, accomplishments, and future research agenda; (approx. 1?2 single-spaced pages) to be typed/pasted at the end of your application under "Research Statement" All application materials must be provided through the USU Jobs site **Document size may not exceed 10 MB.** Advertised Salary Commensurate with education and experience, plus excellent benefits. ADA Employees typically work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes. College/Department Highlights Department Highlights The Psychology Department is located within the Emma Eccles Jones College of Education and Human Services. The Department consists of over 30 faculty representing diverse areas of psychology. Faculty enjoy collaborative relationships with others in the Department as well as other departments in the College (e.g., Kinesiology and Health Sciences, Human Development & Families Studies) and across campus (e.g., Biology, Biological Engineering, Sociology). In addition to the Brain & Cognition PhD specialization, the Department contributes to a multi-department PhD in Neuroscience and offers PhD specializations in other areas of psychology: Combined Clinical/Counseling, Behavior Analysis, and School Psychology. The Department also offers an undergraduate major (BS) in Psychology and a distance-learning master's degree (MEd) in Professional School Counseling. More information about the Psychology Department is available via the website. Alzheimer?s Disease and Dementia Research Center Highlights The Alzheimer?s Disease and Dementia Research Center (ADRC) is located within the Emma Eccles Jones College of Education and Human Services. The center was established in July 2022 with ongoing funding from the state of Utah. Its main purpose is to support research in Alzheimer?s disease or related dementias across a wide spectrum, including prevention, intervention, and treatment, and through basic and applied sciences, including the study of caregiving. The center?s mission also includes generating supportive services for this population and training a dementia-competent workforce. The center supports collaborations across departments, and across institutions in Utah, and includes faculty in Psychology, Human Development and Family Studies, Kinesiology and Health Sciences, Biological Engineering, and others. Research support includes funding for pilot studies, graduate research assistants, workshops and conferences, materials and equipment, and grant mentorship, and efforts are underway to establish a research registry of participants with dementia, and their caregivers, as well as older adults without dementia. The center facilitates efforts to utilize the large NIH-funded epidemiological datasets housed at USU for secondary analyses: the Cache County Study of Memory and Aging, and the ancillary Dementia Progression Study, which includes caregivers. Center efforts are also underway to establish relationships with university Extension, to integrate research and service in rural areas. For questions about the center, contact the Director: Dr. Beth Fauth (beth.fauth at usu.edu). College Highlights The Emma Eccles Jones College of Education and Human Services is home to eight academic departments and is committed to providing the best learning opportunities and educational research in the state of Utah. Our programs are strengthened by an on-campus elementary laboratory school and five stand-alone centers, including the Sorenson Legacy Foundation Center for Clinical Excellence. The college offers clinical services to the community across the human lifespan and provides students with real-world service and research opportunities. University Highlights Utah State University (USU) was founded in 1888 and is Utah?s land-grant and space-grant university. USU is one of only 146 research institutions in the U.S. classified as R1 ?very high research activity? by the Carnegie Classification of Institutions of Higher Education. As one of the two premier research institutions in Utah, USU provides a high-quality education at an affordable price. With its main campus in Logan, the university serves approximately 27,500 students, including 24,255 undergraduates and 3,171 graduate students. USU Online has served students from all 50 states and 55 countries for 25 years. USU?s statewide system features three residential campuses, 30 total campus locations, and 23 Extension education centers. The university employees 903 full-time faculty members, 124 executive administrators, and 1,649 full-time support staff. USU offers 115 undergraduate majors, as well as 91 master?s and 42 doctoral degrees. Learn more about USU. A core characteristic of USU is engagement with communities and people in economic development, improvements to quality of life, and human capital. Through the practical application of knowledge, the University and its faculty engage and share expertise with the state, nation, and world, preserving the historical land-grant tradition of partnering with communities to address critical societal issues in the interest of the public good. The USU main campus is located in beautiful Logan, Utah, a city of about 50,000 situated in a picturesque mountain valley about 80 miles north of Salt Lake City. Outstanding recreational opportunities abound in the nearby mountains and proximate region. USU is sensitive to the needs of dual career couples and provides a Dual Career Assistance program to support careers for partners who are also seeking employment. USU endeavors to provide reasonable accommodations to ensure equal access in all aspects of employment to qualified persons with disabilities. To request a reasonable accommodation for a disability, please contact the university?s ADA Coordinator in the Human Resource office at 435-797-0122 or submit a request at hr at usu.edu. USU Land Acknowledgment Please visit our website to learn about Utah State?s land acknowledgment of the eight tribes of Utah. Notice of Non-discrimination In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity or expression, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law. The following individuals have been designated to handle inquiries regarding the application of Title IX and its implementing regulations and/or USU?s non-discrimination policies: Executive Director of the Office of Equity Matthew Pinner, discrimination at usu.edu, Distance Education Rm. 401, 435-797-1266 Title IX Coordinator Hilary Renshaw, titleix at usu.edu, Distance Education Rm. 404, 435-797-1266 Mailing address: 5100 Old Main Hill, Logan, UT 84322 For further information regarding non-discrimination, please visit https://equity.usu.edu/, or contact: U.S. Department of Education, Office of Assistant Secretary for Civil Rights, 800-421-3481, OCR at ed.gov U.S. Department of Education, Denver Regional Office, 303-844-5695, OCR.Denver at ed.gov Dr. Christopher M. Warren Department of Psychology, EDUC490 Emma Eccles Jones College of Education and Human Services 2810 Old Main Hill Utah State University Logan, UT 84322 chris.warren at usu.edu cell: 435-265-5704 -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Mon Oct 10 03:47:49 2022 From: benoit.frenay at unamur.be (=?UTF-8?B?QmVub8OudCBGcsOpbmF5?=) Date: Mon, 10 Oct 2022 09:47:49 +0200 Subject: Connectionists: Postdoc in Trustworthy AI in a large project (50+ researchers) Message-ID: Dear colleagues, I am recruting a new postdoc for the ARIAC project supported by Digital Wallonia.AI and the SPW Recherche that gathers tens of researchers accross Wallonia in artificial intelligence. Keywords: robustness, stability, constraints, information visualisation, interaction, interpretability, explicatblity, etc. *Deadline: 15th October.* She/he will do research in the "trust mechanisms for AI" workpackage and help me to lead this workpackage.? She/he will be integrated in the Human Centered Machine Learning (HuMaLearn - https://humalearn.info.unamur.be) team at UNamur with around 10 other PhD and postdoc researchers and she/he will have collaboration opportunities thanks to the interdisplinary approach of ARIAC and of HuMaLearn. Please spread the work and do not hesitate to contact me for further details. https://euraxess.ec.europa.eu/jobs/844078 https://jobs.unamur.be/emploi.2022-09-13.7042797172/view Best regards, Beno?t Fr?nay -------------- next part -------------- An HTML attachment was scrubbed... URL: From adeel.razi at gmail.com Mon Oct 10 03:10:36 2022 From: adeel.razi at gmail.com (Adeel Razi) Date: Mon, 10 Oct 2022 18:10:36 +1100 Subject: Connectionists: Postdoc position (deadline extended): Principles of learning in biological and artificial neural networks Message-ID: Dear all, We're hiring a Postdoctoral Research Fellow at Monash University in Melbourne, Australia. Please see the text below. Due to administrative reasons, the deadline has been extended to 02 Nov, 2022 The project is about understanding principles of learning in biological & artificial neural networks. It is in collaboration with Anil Seth (Sussex), Yoshua Bengio (Mila), and Blake Richards (McGill). We are looking for a recent PhD graduate with experience in generative modelling, active inference, reinforcement learning, and possibly of analysing high-dimensional in-vitro neural recordings. Details and apply here: https://careers.pageuppeople.com/513/cw/en/job/641239/research-fellow-psychology For any questions please contact myself at adeel.razi at monash.edu With best wishes, Adeel -- *Adeel Razi, PhD * *Director, Computational Neuroscience Laboratory *Associate Professor | NHMRC Investigator, Emerging Leadership Fellow | Deputy Lead - Brain Mapping & Modelling Program *Turner Institute for Brain and Mental Health* CIFAR Azrieli Global Scholar, Brain, Mind & Consciousness Program Monash University, Australia adeelrazi.org | monash.edu/turner-institute *P*: +61 (03) 99050109 | *T*: @adeelrazi | *A*: Room 137, 770 Blackburn Road, Clayton campus, VIC 3800, Australia *Please do not feel obliged to respond until the next working day if you get this email out of your regular working hours!* **************** Research Fellow - Machine Learning Job No.: 641239 Location: Clayton campus Employment Type: Full-time Duration: 12-month fixed-term appointment Remuneration: $72,927 - $98,975 pa Level A (plus 17% employer superannuation) - Be inspired, every day - Drive your own learning at one of the world?s top 80 universities - Take your career in exciting, rewarding directions Everyone needs a platform to launch a satisfying career. At Monash, we give you the space and support to take your career in all kinds of exciting new directions. You?ll have access to quality research, infrastructure and learning facilities, opportunities to collaborate internationally, as well as the grants you?ll need to publish your work. We?re a university full of energetic and enthusiastic minds, driven to challenge what?s expected, expand what we know, and learn from other inspiring, empowering thinkers. The Opportunity In this collaborative and multidisciplinary project, you will focus on employing and extending active inference ? a framework for defining how neural networks self-optimise in highly dynamic and uncertain environments ? along with in vitro neural network recordings to understand the governing principles of learning in biological and artificial neural networks. The project is within a wider collaboration of Associate Professor Adeel Razi with Professor Anil Seth (Sussex), Professor Blake Richards (McGill), Professor Yoshua Bengio (Mila and The University of Montreal) and our industrial partner. To be successful in this role: This position is suited to a highly motivated individual who holds a doctoral qualification in Electrical and Biomedical Engineering, Machine Learning, Applied Physics and Mathematics, Computational Neuroscience or a closely related field. You will have: demonstrated analytical and manuscript preparation skills; including a track record of refereed research publications in computational or mathematical modelling of natural systems, reinforcement learning, active inference, computational neuroscience and relevant areas; the ability to solve complex problems by using discretion, innovation and the exercise diagnostic skills and/or expertise; and excellent planning and organisational skills. Monash benefits include: - Professional development and study support - Collaborative and inclusive culture - Health and well-being initiatives - Generous parental leave and on-site childcare - On-site services available to staff at our campuses including on-site gym, pool, bookshop, health service, post office - Salary packaging options available and staff discounts If this sounds like a position that suits your career aspirations, we can?t wait to receive your application! This role is a full-time position; however, flexible working arrangements may be negotiated. Your application must address the key selection criteria. Please refer to "How to apply for Monash Jobs ". We encourage applications from First Nations people, culturally and linguistically diverse people, people with disabilities, neurodiverse people, and people of all genders, sexualities and age groups. Join us in our commitment to ensuring a better future for ourselves and for the communities in which we study, work, live and engage ? #ChangeIt with us. Enquiries Dr Adeel Razi, Associate Professor, Monash Biomedical Imaging +61 3 9905 0109 Position Description [image: Download File] Research Fellow - Psychology Closing Date Sunday 02 November 2022, 11:55pm AEDT Supporting a diverse workforce -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.abbass at unsw.edu.au Fri Oct 7 21:44:57 2022 From: h.abbass at unsw.edu.au (Hussein Abbass) Date: Sat, 8 Oct 2022 01:44:57 +0000 Subject: Connectionists: Call for Associate Editors for the IEEE Transactions on Artificial Intelligence Message-ID: Deadline for applying: 3 December 2022 Each year, the IEEE Transactions on Artificial Intelligence (IEEE TAI) invites new Associate Editors (AEs) to join its editorial board due to completion of the term of some existing AEs, retention of some AEs, or an increased load on existing AEs in some areas of AI. The journal encourages diversity and researchers from industry and/or government organisations who possess a strong track record in AI to apply. Areas of particular interest include: Adversarial Learning, Bayesian Networks, Distributed Artificial Intelligence, Ethics of Artificial Intelligence, Fairness and Accountability of Artificial Intelligence, Human-AI Interaction / Teaming, Hyper and Meta Graphs, Knowledge-based Systems, Knowledge Graphs, Machine Learning for Image Processing, Machine Learning for Video Processing, Mathematical Logic, Multi-armed Bandit, Symbolic and non-Symbolic Knowledge Representation, Symbolic and non-Symbolic Natural Language Processing, Ontology, Probabilistic Reasoning, Reinforcement Learning, Sentiment Analysis, Swarm Robotics, Symbolic Reasoning, Trust in Artificial Intelligence, and Unmanned Systems. Candidates interested in applying to join IEEE TAI's editorial board must apply by filling the form https://forms.gle/gQwbUGNkyFVRrCTX9 Kind regards, Hussein Prof. Hussein Abbass, FIEEE, FORS, FACS, and FIML Founding Editor in Chief - IEEE Transactions on Artificial Intelligence https://mc.manuscriptcentral.com/tai-ieee -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Oct 8 11:01:22 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 8 Oct 2022 17:01:22 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Autumn: regular registration October 14 Message-ID: <2074156859.1499561.1665241282711@webmail.strato.com> ****************************************************************** 7th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Autumn Lule?, Sweden October 17-21, 2022 https://irdta.eu/deeplearn/2022au/ ***************** Co-organized by: Lule? University of Technology EISLAB Machine Learning Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Regular registration: October 14, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Autumn 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 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, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 18 four-hour and a half courses and 2 keynote lectures, which will tackle the most active and promising topics. 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. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. 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 2022 Autumn 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 2022 Autumn will take place in Lule?, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country. The venue will be: Lule? University of Technology https://www.ltu.se/?l=en STRUCTURE: 2-3 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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Tommaso Dorigo (Italian National Institute for Nuclear Physics), Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities Elaine O. Nsoesie (Boston University), AI and Health Equity PROFESSORS AND COURSES: Sean Benson (Netherlands Cancer Institute), [intermediate] Deep Learning for a Better Understanding of Cancer Thomas Breuel (Nvidia), [intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP Hao Chen (Hong Kong University of Science and Technology), [introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis [virtual] Jianlin Cheng (University of Missouri), [introductory/intermediate] Deep Learning for Bioinformatics Nadya Chernyavskaya (European Organization for Nuclear Research), [intermediate] Graph Networks for Scientific Applications with Examples from Particle Physics [virtual] Efstratios Gavves (University of Amsterdam), [advanced] Advanced Deep Learning [virtual] Quanquan Gu (University of California Los Angeles), [intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks Jiawei Han (University of Illinois Urbana-Champaign), [advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models Awni Hannun (Zoom), [intermediate] An Introduction to Speech Recognition and Weighted Finite-State Automata [virtual] Tin Kam Ho (IBM Thomas J. Watson Research Center), [introductory/intermediate] Deep Learning Applications in Natural Language Understanding Timothy Hospedales (University of Edinburgh), [intermediate/advanced] Deep Meta-Learning Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering Tatiana Likhomanenko (Apple), [intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition [virtual] Othmane Rifki (Spectrum Labs), [introductory/advanced] Speech and Language Processing in Modern Applications Mayank Vatsa (Indian Institute of Technology Jodhpur), [introductory/intermediate] Small Sample Size Deep Learning [virtual] Yao Wang (New York University), [introductory/intermediate] Deep Learning for Computer Vision Zichen Wang (Amazon Web Services), [introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences Alper Yilmaz (Ohio State University), [introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization 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 October 9, 2022. 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 October 9, 2022. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved 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 October 9, 2022. ORGANIZING COMMITTEE: Nosheen Abid (Lule?) Sana Sabah Al-Azzawi (Lule?) Lama Alkhaled (Lule?) Prakash Chandra Chhipa (Lule?) Saleha Javed (Lule?) Marcus Liwicki (Lule?, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Hamam Mokayed (Lule?) Sara Morales (Brussels) Mia Oldenburg (Lule?) Maryam Pahlavan (Lule?) David Silva (London, organization chair) Richa Upadhyay (Lule?) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022au/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. During the event, participants will be free to attend the courses they wish. 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 courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participants are the same. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2022au/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Lule? University of Technology, EISLAB Machine Learning Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sun Oct 9 04:30:55 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 9 Oct 2022 10:30:55 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Papers_=E2=80=93_ETTIS-2023_--?= =?utf-8?q?_hybrid_mode_conference_--_deadline=3A_December_1=2C_2022?= In-Reply-To: <9b905300-42ec-5b87-e044-45f450d385c6@ibspan.waw.pl> References: <9b905300-42ec-5b87-e044-45f450d385c6@ibspan.waw.pl> Message-ID: Call for Papers ? ETTIS-2023 February 23-24, 2023 Hybrid mode conference C-DAC Noida in association with Petroleum-Gas University of Ploiesti, Romania and the University of Haute-Alsace, France is organizing the 3rd International Conference on ?Emerging Trends and Technologies on Intelligent Systems? (ETTIS-2023), in hybrid mode on Feb 23rd-24th, 2023. The Proceedings of ETTIS 2023 will be published in the Springer book series 'Lecture Notes in Networks and Systems' (LNNS) scopus indexed. * Aim of the Conference: The International Conference (ETTIS 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology, and applications of Artificial Intelligence, Big Data, Cyber-Physical Systems, Quantum Computing, Smart systems and Security in Industrial/Real-World settings. ETTIS 2023 welcomes papers in all sub-areas of artificial intelligence, machine learning, big data, and cyber-physical systems, Quantum Computing, Smart systems and security. The prime aim of the conference is to invite researchers and practitioners from both academia and industry from different domains of Computing and Information Technologies at a single platform to showcase their research ideas and share information about cutting-edge developments in the field. Authors are welcome to contribute to the conference by submitting articles that illustrate on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas. The Conference will provide total five technical tracks to all authors for their submission. So, each author may identify the most suitable track matching to their article/ research paper for submission of paper. Conference is proposed with the idea of an annual ongoing event to invite researchers on a single platform to exchange their ideas and thoughts. Research papers from each track after the positive blind peer review by at-least two reviewers with good score will be selected for oral presentation during the conference. * Target Audience: Academicians, Faculty Members, Research Scholars and students Business Professionals, Senior Level Managers, Executives Practitioners in Business and Non-Profit Organizations Policy Makers, Entrepreneurs, Enterprising Youth, Industrialists, Consultants etc. * Keynote Speakers: Dr. Emil Pricop, Petroleum-Gas Univ. of Ploiesti, Romania Dr. Abhijit Sen, Kwantlen Polytechnic University, Canada Dr. Keshab K. Parhi, University of Minnesota, US Dr. Xin-She Yang, Middlesex University London, UK Dr. Sunil Vadera, University of Salford, UK Dr. Marcin Paprzycki, Polish Academy of Sciences, Poland Dr. Gaurav Trivedi, IIT Guwahati, India * Conference Tracks Track 1: Artificial Intelligence Track 2: Big Data Track 3: Cyber-Physical Systems Track 4: Information Security Track 5: Quantum Computing * Important Dates: Last date for submission of Full length Paper December 1, 2022 Paper acceptance Notification January 15, 2023 Submission of Camera ready paper January 25, 2023 Early Bird Registration February 10, 2023 Conference Dates February 23-24, 2023 * Organizing Committee: Patron Sh. Vivek Khaneja, Executive Director, CDAC, Noida Co-Patron Sh. V.K. Sharma, Senior Director, CDAC, Noida Principal General Chair Dr. Arti Noor, Senior Director, CDAC, Noida Honorary Chairs Dr. Emil Pricop, Petroleum-Gas University of Ploiesti, Romania Dr. Pascal Lorenz, University of Haute Alsace, France Dr. Marcin Paprzycki, Polish Academy of Sciences, Poland Program Chair Dr. Kriti Saroha, Joint Director, C-DAC, Noida Venue: C-DAC Academic Block, B-30, Institutional Area, Sector-62, Noida Dist. GB Nagar (UP), PIN - 201309 Please visit the website www.ettis.org for further details or contact with the organizing committee of the conference: Dr. Arti Noor 0120 ? 3063380 +91 9868675191 artinoor at cdac.in Dr. Kriti Saroha 0120-3063368 +91 9810702461 kritisaroha at cdac.in Mr. Sanjay Ojha 0120-3063371-72 +91 9891963250 sanjayojha at cdac.in Paper Submission link: https://easychair.org/conferences/?conf=ettis2023 From cls at is.mpg.de Mon Oct 10 04:11:04 2022 From: cls at is.mpg.de (CLS Coordinator) Date: Mon, 10 Oct 2022 10:11:04 +0200 Subject: Connectionists: Funded Ph.D. Positions at the Max Planck ETH Center for Learning Systems Message-ID: <1ADD2CEA-3D1D-4FA9-9E7F-503E835FFDA1@is.mpg.de> Apply to do your Ph.D. in our joint academic program between ETH Zurich, Switzerland and the Max Planck Society, primarily the Max Planck Institute for Intelligent Systems in Stuttgart / Tuebingen, Germany. We are currently accepting applications to join our program in 2023. In our fully-funded doctoral fellowship program, Ph.D. students are co-supervised by one advisor from ETH Zurich and one from the Max Planck Society, primarily the Max Planck Institute for Intelligent Systems (Stuttgart / Tuebingen, Germany). All Ph.D. fellows will register as graduate students at ETH Zurich and, upon successful completion of their Ph.D. project, will be granted a doctoral degree by ETH. Applicants must hold or expect to obtain an excellent degree at Masters level in a relevant subject and should have a strong interest in basic research in areas such as: Bio-inspired / Bio-hybrid Robotics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Digital Humans, Earth Observation, Haptics, Human-Computer Interaction, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Micro- and Nano-Robotics, Natural Language Processing , Neuroinformatics, Optimization, Perceptual Inference, Probabilistic Models, Reinforcement Learning, Robotics, Soft Robotics, Statistical Learning Theory. Faculty participating in this call include: Afonso Bandeira, Andreas Krause, Benjamin Grewe, Bernhard Schoelkopf, Christian Holz, Christoph Keplinger, Daniel Razansky, David Steurer, Fanny Yang, Fisher Yu, Florian Tramer, Florian Doerfler, Gunnar Raetsch, Joerg Stueckler, Justus Thies, Katherine Kuchenbecker, Klaas Pruessmann, Konrad Schindler, Marc Pollefeys, Marco Hutter, Mehmet Fatih Yanik, Metin Sitti, Michael Black, Michael Muehlebach, Moritz Hardt, Mrinmaya Sachan, Niao He, Nicolai Meinshausen, Otmar Hilliges, Richard Hahnloser, Robert Katzschmann, Samira Samadi, Siyu Tang, Wieland Brendel. We value diversity at our institutions. Anyone ? of any gender identity, nationality or background - who meets our academic requirements is encouraged to apply. We seek to increase the number of women in areas where they are underrepresented, so we explicitly encourage women to apply. Apply via our online application portal at https://learning-systems.org/apply. Deadline for the application: midnight (23:59 CET) on November 15, 2022. From A.K.Seth at sussex.ac.uk Mon Oct 10 05:24:10 2022 From: A.K.Seth at sussex.ac.uk (Anil Seth) Date: Mon, 10 Oct 2022 09:24:10 +0000 Subject: Connectionists: The Perception Census - Call for Participation Message-ID: <4B7F90A0-047E-4CEF-B8F3-2EB158BC1BCA@sussex.ac.uk> Do you see what I see? Call for participation in The Perception Census - a new online citizen-science study of individual differences in perception (perceptual diversity). Led by the Universities of Sussex and Glasgow, The Perception Census involves a series of fun, interactive tasks playing with colour, illusion, sound, and more. Participation is easy - all you need is your own computer - and everyone that joins in will help advance the science and will learn about their own powers of perception. The Perception Census is part of the Dreamachine programme - a groundbreaking collective, immersive experience that has toured the UK this summer as part of a nationwide celebration of creativity and innovation. We?d be very grateful if you?d consider taking part in The Perception Census, and helping us spread the word. Find out more and sign up at https://perceptioncensus.dreamachine.world ?. and read more about the motivation for the study, and about the concept of ?perceptual diversity?, in this Guardian article: https://www.theguardian.com/books/2022/oct/03/the-big-idea-do-we-all-experience-the-world-in-the-same-way Many thanks Anil Seth (Sussex) and Fiona Macpherson (Glasgow) ------------------------------------------- Anil K. Seth, D.Phil. Professor of Cognitive and Computational Neuroscience, University of Sussex Co-Director, Canadian Institute for Advanced Research, Program on Brain, Mind, and Consciousness Advanced Investigator, European Research Council Editor-in-Chief, Neuroscience of Consciousness www.anilseth.com @anilkseth Test your senses with the Perception Census https://perceptioncensus.dreamachine.world/ [cid:6D80F6E6-C826-4598-8C7E-12D35DFB48B7] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Being You Pb Digital Assets v1 Email copy.png Type: image/png Size: 58001 bytes Desc: Being You Pb Digital Assets v1 Email copy.png URL: From jonizhong at msn.com Mon Oct 10 08:17:08 2022 From: jonizhong at msn.com (Joni Zhong) Date: Mon, 10 Oct 2022 12:17:08 +0000 Subject: Connectionists: [jobs] Research Assistant (Multiple posts) - Brain-computer interface/Multi-modal HCI for Assistive Robotics at The Hong Kong Polytechnic University Message-ID: The Hong Kong Polytechnic University (PolyU) is looking for a few candidates for Research Assistants (RA)/Research Associates (RAS) in the Department of Rehabilitation Sciences (RS). RS has been playing a leading role in rehabilitation research in Hong Kong, China and the APC region. According to EduRank's ranking, PolyU gets No. 1 for the first time in China and Asia in medical-related specialities, namely Occupational Therapy and Physical Therapy. PolyU?s world rank in these two specialities is 59 and 84 respectively. Assistive Technologies and Assistive Robotics are two core strategy directions of the department. The RA/RAS will be responsible for working on an assistive robotic project for people with physical disabilities. They will work closely with the Principal Investigator (Dr Joni Zhong) and the co-PIs on developing BCI and/or sEMG-controlled robots and machine learning-based robotic applications. Experiments with patients will be expected to solve real-world problems. Further pursuit of postgraduate studies (MPhil or PhD) is possible. S/he is expected to: (a) have a master's degree (for the RAS post) or an honours degree (for the RA post) in Computer Science, Electronic Engineering, Biomedical Engineering or related disciplines; (b) have experience in BCI or/and EMG signal processing. (c) have experience in multi-modal signal analysis, reinforcement learning or human-robot interaction studies. (d) be passionate about robot development and how robots can benefit humankind. Applicants are invited to contact Dr Joni Zhong at tel no. (852) 2766 6764 or email your CV to joni.zhong at polyu.edu.hk for further information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From imprsis at tuebingen.mpg.de Tue Oct 11 03:15:32 2022 From: imprsis at tuebingen.mpg.de (IMPRS IS) Date: Tue, 11 Oct 2022 09:15:32 +0200 Subject: Connectionists: Funded Ph.D. Positions at Max Planck Research School for Intelligent Systems, Germany - apply until November 1st, 2022 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 1, 2022* More details: 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 seventh generation of Ph.D. students in spring of 2023. 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 The participating faculty are Aamir Ahmad, Zeynep Akata, Frank Allg?wer, Alexander Badri-Spr?witz, Robert Bamler, Christian F. Baumgartner, Philipp Berens, Matthias Bethge, Michael J. Black, Wieland Brendel, Andr?s Bruhn, Andreas Bulling, Paul-Christian B?rkner, Martin Butz, Manfred Claassen, Caterina De Bacco, Benedikt V. Ehinger, Peer Fischer, Andreas Geiger, Martin A. Giese, Moritz Hardt, Daniel H?ufle, Matthias Hein, Philipp Hennig, Wenqi Hu, Christoph Keplinger, Katherine J. Kuchenbecker, Hyosang Lee, Hendrik Lensch, Falk Lieder, Nicole Ludwig, Jakob Macke, Setareh Maghsudi, Georg Martius, Michael M?hlebach, Mathias Niepert, Nico Pfeifer, Seong Joon Oh, Gerard Pons-Moll, Michael Pradel, Tian Qiu, C. David Remy, Samira Samadi, Syn Schmitt, Bernhard Sch?lkopf, Gabriele Schweikert, Michael Sedlmair, Fabian Sinz, Metin Sitti, Steffen Staab, Ingo Steinwart, J?rg St?ckler, Justus Thies, Benjamin Unger, Alexander Verl, Ulrike von Luxburg, Felix Wichmann, Bob Williamso! n, Andreas Wortmann, Thomas Wortmann, and Charley M. Wu. Associated faculty include R. Harald Baayen, Franz Baumdicker, Peter Dayan, Jonathan Fiene, Bedartha Goswami, Ksenia Keplinger, Miriam Klopotek, Anna Levina, Kay Nieselt, Peter Ochs, Peter Pott, Gunther Richter, and Maria Wirzberger. 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 2023. ? 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. We seek to increase the number of women in areas where they are underrepresented, so we explicitly encourage women to apply. We are committed to employing more handicapped individuals and especially encourage them to apply. We are an equal opportunity employer and value diversity at our institutions. 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 1, 2022. Finalists will be invited to selection interviews that will take place online from January 17 to January 20, 2023. For further information, please visit https://imprs.is.mpg.de From astocker at psych.upenn.edu Mon Oct 10 11:03:50 2022 From: astocker at psych.upenn.edu (Stocker, Alan A) Date: Mon, 10 Oct 2022 15:03:50 +0000 Subject: Connectionists: Postdoc position in human decision-making Message-ID: A postdoc position is available in the Computational Perception and Cognition Laboratory of Alan Stocker at the University of Pennsylvania, USA. The position is part of the ongoing NSF-funded project ?Choice-induced biases in human decision-making? in collaboration with the laboratory of Tobias Donner at the University Medical Center Hamburg, Germany. The goal of the project is to understand how decisions influence the memory of past (consistency bias) but also the evaluation of future evidence (confirmation bias) in human decision-making. The project employs a highly interdisciplinary approach that combines psychophysical and functional neuroimaging (MEG) experiments with theory and computational modeling. The position focuses on the development of computational and neural models of subjects? behavior in such decision-tasks and their validation against psychophysical and neural data. The project provides the opportunity to visit the partner lab in Hamburg and gain first-hand experience with MEG data acquisition and analysis. Candidates from all backgrounds are considered. However, a good theoretical/ computational background and experience in working with computer models and simulations is expected. Experience with the technical aspects of running psychophysical experiments is a plus. Above all, however, we are looking for candidates who are deeply curious about the theoretical principles underlying human decision- behavior. The position is funded for up two years with the possibility for extensions. The lab laboratory is embedded in the University of Pennsylvania?s strong and vibrant neuroscience and cognitive science community (mindCORE, CNI), providing the new lab member with a very interactive research environment. Please send any questions and submit applications (CV, publications, brief statement of research interests and skills, and names of 2-3 references) to Alan Stocker (astocker at psych.upenn.edu). _________________________ alan a. stocker, phd www.sas.upenn.edu/~astocker _________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From chriskanan at gmail.com Mon Oct 10 13:06:14 2022 From: chriskanan at gmail.com (Christopher Kanan) Date: Mon, 10 Oct 2022 13:06:14 -0400 Subject: Connectionists: University of Rochester: Assistant Professor of Computer Science Positions Message-ID: The University of Rochester seeks applicants for *three *tenure-track assistant professor positions in the Department of Computer Science. While exceptional candidates will be considered in any area, we are particularly eager to hire in AI/HCI (NLP, core machine learning, neurosymbolic AI, AR/VR); computer systems (distributed/cloud computing, networks, data management); and security/cryptography. Candidates must have (or be about to receive) a doctorate in computer science or a related discipline. Learn more here: https://www.cs.rochester.edu/about/recruit.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From melaahi2 at gmail.com Mon Oct 10 18:46:54 2022 From: melaahi2 at gmail.com (M Elahi) Date: Tue, 11 Oct 2022 00:46:54 +0200 Subject: Connectionists: Deadline extended for MMM 2023 Demo Papers and Brave New Ideas In-Reply-To: References: Message-ID: Dear all, The deadline for MMM?23 Demo Papers and Brave New Ideas has been extended until 15 October 2022. The full call for submissions can be accessed at: https://www.mmm2023.no/call-for-submissions Best regards, MMM 2023 Organisers ??????????????? Mehdi Elahi Associate Professor, University of Bergen, Norway Group: dars.uib.no Center: mediafutures.no Twitter: twitter.com/mehdielaahi LinkedIn: linkedin.com/in/mehdielahi GoogleScholar: scholar.google.com/citations?user=aUWF7LYAAAAJ ??????????????? -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Mon Oct 10 13:05:48 2022 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 10 Oct 2022 13:05:48 -0400 Subject: Connectionists: [CFP] 2nd Call for Participation, early bird registration closing soon and more! Message-ID: *********************************************************************************************************** *Virtual 21st International Semantic Web Conference (ISWC 2022), Call for Participation* Hangzhou, China, October 23-27, 2022 https://iswc2022.semanticweb.org/ *********************************************************************************************************** Early Registration for Virtual ISWC 2022 is closing soon! Register until 15th October 2022 to save your seat through early bird registration at Registration ? ISWC 2022 (semanticweb.org) Join us from anywhere in the world for the virtual International Semantic Web Conference and enjoy the insightful keynotes [1] , presentations [2] , posters & demos [3] , workshops [4] & tutorials [5] , SW challenges [6] , doctoral consortium [7] , and job fair [upload your cv at link 8 ] while networking and making connections with the semantic web community. The program schedule can be accessed through [9] . In addition to the above, the Virtual ISWC 2022 has the following insightful panels: *PANEL 1: ?IS THE DEEP LEARNING HYPE GOOD OR BAD FOR THE SEMANTIC WEB??* Panelists: *Alessandro Oltramari* * ?* Bosch Research And Technology Center & Bosch Center For Artificial Intelligence *Gary Marcus* * ? *New York University; Founder Of Geometric Intelligence (Acquired By Uber) *Ilaria Tiddi* * ? *Vrije Universiteit Amsterdam *Juanzi Li* * ? *Tsinghua University *PANEL 2: ?KNOWLEDGE GRAPHS FOR THE PHYSICAL WORLD: WHAT IS MISSING??* Panelists: *Cori Henson* ? Bosch Research Center *Ganesh Ramanathan* ? Siemens, Zurich *Mar?a Poveda Villal?n * ? Universidad Polit?cnica De Madrid *Michael Beetz* ? University Of Bremen General Chair *Claudia d'Amato,* Department of Computer Science, University of Bari, IT Local Organizing Chair *Huajun Chen,* College of Computer Science and Technologies, Zhejiang University, CN Follow us on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf - Instagram: https://www.instagram.com/iswc_conf/ Links: [1] Keynote Speakers ? ISWC 2022 (semanticweb.org) [2] Accepted Papers ? ISWC 2022 (semanticweb.org) [3] Posters and Demos ? ISWC 2022 (semanticweb.org) [4] Workshops ? ISWC 2022 (semanticweb.org) [5] Tutorials ? ISWC 2022 (semanticweb.org) [6] Challenges ? ISWC 2022 (semanticweb.org) [7] Doctoral Consortium ? ISWC 2022 (semanticweb.org) [8] Job Postings ? ISWC 2022 (semanticweb.org) [9] Conference ? ISWC 2022 (semanticweb.org) A big thank you to all our sponsors (Sponsors ? ISWC 2022 (semanticweb.org) ) The ISWC 2022 Organizing Team Organizing Committee ? ISWC 2022 (semanticweb.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From keller at inf.ed.ac.uk Tue Oct 11 07:02:50 2022 From: keller at inf.ed.ac.uk (Frank Keller) Date: Tue, 11 Oct 2022 12:02:50 +0100 Subject: Connectionists: PhD studentships in Computational Linguistics, Speech Technology and Cognitive Science Message-ID: <25413.19802.321812.846701@lodovico.inf.ed.ac.uk> PHD STUDENTSHIPS IN COMPUTATIONAL LINGUISTICS, SPEECH TECHNOLOGY AND COGNITIVE SCIENCE Institute for Language, Cognition and Computation School of Informatics University of Edinburgh The Institute for Language, Cognition and Computation (ILCC) at the University of Edinburgh invites applications for three-year PhD studentships starting in October 2023. ILCC is dedicated to the pursuit of basic and applied research on computational approaches to language, communication and cognition. Primary research areas include: * Natural language processing and computational linguistics * Machine Translation * Speech technology * Dialogue, multimodal interaction, language and vision * Computational Cognitive Science , including language and speech, decision-making, learning and generalization * Social Media and Computational Social Science * Human-Computer interaction, design informatics, assistive and educational technology * Information retrieval and visualization Approximately 10 studentships from a variety of sources are available, covering both maintenance at the research council rate of GBP 17,668 (2022/23 rates) per year and tuition fees. Awards increase every year, typically with inflation. Studentships are available for UK, EU, and non-EU nationals. Applicants should have a strong undergraduate degree or equivalent in computer science, cognitive science, AI, or a related discipline. For a list of academic staff at ILCC with research areas, and for a list of indicative PhD topics, please consult: http://web.inf.ed.ac.uk/ilcc/people/academic-senior-research-staff http://www.ilcc.inf.ed.ac.uk/study/possible-phd-topics-in-ilcc Details regarding the PhD programme and the application procedure can be found at: http://www.ed.ac.uk/informatics/postgraduate/research-degrees/phd There are TWO DEADLINES for applications to receive full consideration: round 1: 25th November 2022 round 2: 27th January 2023 We strongly recommend that non-UK applicants submit their applications in round 1, to maximise their chances of funding. Please direct inquiries to the PhD admissions team at ilcc-admissions at inf.ed.ac.uk. Please note that the 3-year ILCC PhD program is distinct from the UKRI Centre for Doctoral Training in Natural Language Processing, which offers a 4-year PhD with integrated study: http://nlp-cdt.ac.uk/ -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From timothy.brady at gmail.com Tue Oct 11 21:39:05 2022 From: timothy.brady at gmail.com (Tim Brady) Date: Tue, 11 Oct 2022 18:39:05 -0700 Subject: Connectionists: UC San Diego - Assistant Professor - Computation Message-ID: *Assistant Professor - Computation* The Department of Psychology (psychology.ucsd.edu) within the School of Social Sciences at the University of California, San Diego invites applications for a tenure-track Assistant Professor position from candidates who utilize a computational approach to study any of the areas represented in the department or their intersection (Cognitive Psychology, Cognitive Behavioral Neuroscience, Developmental Psychology, Sensation & Perception, or Social Psychology). The anticipated position start date is July 1st, 2023. Candidates must have a Ph.D. or be ABD, and possess a record of published or publishable research applying computational methods to psychology or a closely related field. Successful candidates are expected to establish a vigorous program of high-quality research. Preference will be given to candidates with a strong background in applying computational methods in psychology, demonstrated impact on their area, and a track record of interdisciplinary and collaborative work. Successful candidates are required to teach graduate and undergraduate students within the Department of Psychology. Demonstrated teaching excellence is preferred. The Department of Psychology is committed to academic excellence and diversity within the faculty, staff, and student body. We are especially interested in candidates who possess a commitment to supporting diversity, inclusion and equity within an academic setting. Salary is commensurate with qualifications and based on University of California pay scales. The position will remain open until filled. Candidates should submit a cover letter, curriculum vitae, statement of research, statement of teaching, three letters of reference, a statement describing experience fostering diversity and/or potential to make future contributions, and 3-5 publications or preprints. For information on preparing diversity statements and divisional initiatives to promote diversity, see: http://facultydiversity.ucsd.edu/recruitment/contributions-to-diversity.html Applications should be submitted electronically via UCSD?s Academic Personnel On-Line RECRUIT system: https://apol-recruit.ucsd.edu/JPF03359 UC San Diego is an Equal Opportunity/Affirmative Action Employer with a strong institutional commitment to excellence through diversity. All qualified applicants will receive consideration for employment without regard to gender, race, color, religion, sex, sexual orientation, national origin, disability, age or protected veteran status. -- Timothy F. Brady, Ph.D. Associate Professor Department of Psychology University of California, San Diego http://bradylab.ucsd.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Oct 11 10:32:15 2022 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 11 Oct 2022 16:32:15 +0200 Subject: Connectionists: Call for Participation COMPLEX NETWORKS 2022 Palermo November 08 - 10, 2022 Message-ID: *11th** International Conference on Complex Networks & Their Applications* *Palermo, Italy *November 08 - 10, 2022 COMPLEX NETWORKS 2022 *See the detailed program at :* https://easychair.org/smart-program/COMPLEXNETWORKS2022/ *Registration:* https://complexnetworks.org/registration/ *SPEAKERS* ? Lu?s A. Nunes Amaral Northwestern University USA ? Manuel Cebrian Max Planck Institute for Human Development Germany ? Shlomo Havlin Bar-Ilan University in Israel ? Giulia Iori City, University of London UK ? Melanie Mitchell Santa Fe Institute USA ? Ricard Sol? Universitat Pompeu Fabra Spain *TUTORIALS (November 07, 2022)* ? Michele Coscia IT University of Copenhagen Denmark ? Adriana Iamnitchi Maastricht University, Netherlands Best regards, and looking forward to seeing you at COMPLEX NETWORKS 2022. Hocine Cherifi Rosario N. Mantegna Luis M. Rocha COMPLEX NETWORKS 2022 General Chairs Join us at COMPLEX NETWORKS 2022 Palermo Italy *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From aeck at oberlin.edu Tue Oct 11 10:30:35 2022 From: aeck at oberlin.edu (Adam Eck) Date: Tue, 11 Oct 2022 10:30:35 -0400 Subject: Connectionists: Oberlin College: Tenure-Track Positions in Computer Science, Data Science, and Statistics Message-ID: The Computer Science Department at Oberlin College invites applications for two full-time, tenure track faculty positions in the College of Arts and Sciences to begin Fall 2023. We especially encourage applicants with research interests in Theory, Systems, or Machine Learning/Data Science to apply. To be assured of consideration, submit required application materials for this position found at https://jobs.oberlin.edu/postings/postings/12946 by October 15, 2022. Tenure-track position in Statistics and Data Science, starting Fall 2023 at the rank of Assistant Professor in the area of Statistics and Data Science (candidates from related disciplines are also encouraged to apply). Responsibilities include teaching 4.5 courses per year and sustained scholarly research. Strengths in computational statistics and applications of statistics across diverse disciplines are particularly desirable. Among the qualifications required for appointment is the Ph.D. degree (in hand or expected by first semester of academic year 2023-24). To be assured of consideration, submit required application materials for this position found at https://jobs.oberlin.edu/ by 28 October 2022. -- Adam Eck, PhD Associate Professor and Associate Chair, Computer Science Department Chair, Data Science Integrative Concentration Oberlin College -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.goodman at imperial.ac.uk Wed Oct 12 07:49:34 2022 From: d.goodman at imperial.ac.uk (Goodman, Daniel F M) Date: Wed, 12 Oct 2022 11:49:34 +0000 Subject: Connectionists: PhD positions available in ML-flavoured neural modelling Message-ID: If you're interested in doing a PhD with me in using ML techniques to explore neuroscience questions with spiking neural networks, etc. Please get in touch. Application process: http://neural-reckoning.org/openings.html To get a quick idea of whether or not you're interested, check out this paper. Basically if you like this, you'd be at home. http://neural-reckoning.org/pub_heterogeneity.html Dan If you are interested in a future where access to and participation in research are equitable and open to all, please take a moment to read and sign our open letter to the White House Office of Science and Technology Policy. Your support can make a real difference to the future of research. -------------- next part -------------- An HTML attachment was scrubbed... URL: From nadine.spychala at gmail.com Wed Oct 12 15:25:01 2022 From: nadine.spychala at gmail.com (Nadine Spychala) Date: Wed, 12 Oct 2022 20:25:01 +0100 Subject: Connectionists: Online Symposium on Computational Approaches to the Mind Message-ID: Dear all, we invite you to participate in a *one-day online-only symposium* on *21st October 2022 *- free of charge and open to all: Rethinking Computational Approaches to the Mind - Fundamental Challenges and Future Perspectives - This event will bring together researchers with expertise in various areas such as complexity science, machine learning & artificial intelligence, information theory & data science, as well as computational/theoretical neuroscience & philosophy to explore different computational approaches in the study of the ?mind? (in brains and/or machines): 1. What are those approaches essentially about? 2. What are major benefits & caveats? 3. Do different approaches speak to, complement, or contradict each other? 4. What are the *current challenges* in computational approaches to understand the mind, and what could bring progress? The event is organized within the ?Sensation and Perception to Awareness: Leverhulme Doctoral Scholarship Programme ? at the University of Sussex, and will comprise a set of talks followed by a panel discussion. Find more info - including how to register - on our event website . Feel free to spread widely in your networks. We look forward to a day of exciting talks and discussions! Nadine Spychala, Tomasz Korbak, & Federico Micheli (event organizers) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ale at sissa.it Wed Oct 12 08:59:57 2022 From: ale at sissa.it (Alessandro Treves) Date: Wed, 12 Oct 2022 12:59:57 +0000 Subject: Connectionists: =?windows-1252?q?Extra_PhD_fellowship_at_SISSA_?= =?windows-1252?q?=96_Cognitive_Neuroscience_in_Trieste?= In-Reply-To: <20200108082118.Horde.wAbmIh8V4mxeFYLu2WYj9aA@webmail.sissa.it> References: <20200108082118.Horde.wAbmIh8V4mxeFYLu2WYj9aA@webmail.sissa.it> Message-ID: The National Program in Theoretical and Applied Neuroscience opens up an additional possibility to join SISSA for a PhD this Fall, together with those recently admitted. SISSA is an elite postgraduate research institution in Trieste, Italy, focusing on Maths, Physics and Neuroscience. It operates in English: many among its students and faculty are not Italian. The Cognitive Neuroscience Department https://phdcns.sissa.it/ hosts 7 research labs, led by D Bueti, D Zoccolan, R Rumiati, D Crepaldi, M Diamond, E Piasini and A Treves, which study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language and reading, tactile perception and learning, inference and memory. Those admitted can design their own research projects within or across these labs, with a variety of approaches including behavioural, psychophysics, and neurophysiological experiments with humans and animals, computational and mathematical models. Candidates from diverse backgrounds (eg in the hard or life sciences, linguistics, medicine or psychology) are most welcome to apply, if daring. If interested, please register and apply immediately *** deadline Oct 19 *** to https://vele.unicam.it/CallforApplication/?st=2 (the Univ Camerino website handling all applications) indicating, within Curriculum 1: Cognitive and Behavioral Neuroscience, the position Code 1.7 ---------------------------------------------- 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 davy.weissenbacher at gmail.com Wed Oct 12 14:44:41 2022 From: davy.weissenbacher at gmail.com (Davy Weissenbacher) Date: Wed, 12 Oct 2022 11:44:41 -0700 Subject: Connectionists: Call for Participation: #SMM4H'22, 7th Social Media Mining for Health Applications - Shared Task & Workshop at COLING 2022 Message-ID: Call for Participation: #SMM4H'22, 7th Social Media Mining for Health Applications - Shared Task & Workshop at COLING 2022 Hybrid: Online / Gyeongju, Republic of Korea Workshop Date: October 17, 2022 Workshop and Shared task: https://healthlanguageprocessing.org/smm4h-2022/ ***Apologies if you received multiple copies of this announcement*** The Social Media Mining for Health Applications (#SMM4H) workshop serves as a venue for bringing together researchers interested in automatic methods for the collection, extraction, representation, analysis, and validation of social media data (e.g., Twitter, Reddit, Facebook) for health informatics. The 7th #SMM4H Workshop, co-located at COLING 2022 ( https://coling2022.org/index) will present a Keynote speaker, 15 invited oral presentations, and a poster session demonstrating the competing systems of the SMM4H'22 shared tasks. The detailed program and description of the shared tasks can be found online at https://healthlanguageprocessing.org/smm4h-2022/ Keynote speaker: Raul Rodriguez-Esteban, Senior Principal Scientist at Roche Pharmaceuticals, Switzerland Abstract: Social media listening for pharmaceutical R&D Traditionally, social media listening (SML) in the pharmaceutical setting has been limited to marketing and communication purposes and performed with manual, qualitative methods. Pharmaceutical companies, with the encouragement of regulatory agencies, have started utilizing social media listening to integrate the patient perspective in the clinical development process to ensure relevant treatments and outcomes. Additionally, there is a growing acknowledgment that quantitative methods for SML (QSML) can provide new and more rigorous analyses that enhance the value of social media data to enable a patient-centric approach to understanding disease burden and influence drug discovery decisions at all stages. During this talk, I will present some examples of QSML supporting pharmaceutical R&D. All questions should be emailed to Davy Weissenbacher ( davy.weissenbacher at cshs.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Wed Oct 12 14:20:57 2022 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 12 Oct 2022 18:20:57 +0000 Subject: Connectionists: CFP: IEEE BIBM-LncRNA'22: Workshop on Long Non-Coding RNAs -- submission deadline < 2 weeks away !! In-Reply-To: References: , , , , Message-ID: Apologies if you receive multiple copies ... See our website: BIBM- LncRNA'2022: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ Paper submission deadline: Oct. 24, 2022 -- see below Call for Papers The IEEE BIBM 2022 Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2022 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2022), Dec. 6 - 9, 2022. Though the BIBM conference will be held in Las Vegas, NV, USA/ Changsha, Hunan, China the LncRNA workshop will be held in a mixed mode -- both virtual/remote and in-person in Las Vegas, NV, USA/ Changsha, Hunan, China, and also in Dubai, UAE. BIBM- LncRNA'2022: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ IEEE BIBM 2022: https://ieeebibm.org/BIBM2022/ The recent application of high throughput technologies to transcriptomics has changed our view of gene regulation and function. The discovery of extensive transcription of large RNA transcripts, termed long noncoding RNAs (lncRNAs), provide an important and new perspective on the centrality of RNA in gene regulation. LncRNAs are involved in various biological and cellular processes, such as genetic imprinting, chromatin remodeling, gene regulation and embryonic development. LncRNAs have been implicated in several chronic diseases, such as cancers, and heart disease, etc. Various types of genomic data on lncRNAs are currently available, including sequences, secondary/tertiary structures, transcriptome data, and their interactions with related proteins or genes. The key challenge is how to integrate data from myriad sources to determine the functions and the regulatory mechanism of these ubiquitous lncRNAs. Research topics: The potential topics include, but not limited to, the following: lncRNA detection and biomarker discovery CLIP-Seq and RIP-Seq data analysis Prediction of physical binding between lncRNA and DNA, RNA and protein. Competition and interaction between lncRNA, miRNA and mRNA Studying methylation regulating lncRNA functions Function Prediction for lncRNAs Deep learning approaches to lncRNA/RNA binding protein prediction Computational approaches to analyzing lncRNA lncRNA 3D secondary structures lncRNA-protein interactions lncRNA in epigenetic regulation lncRNA associated diseases network lncRNAs in plant genomics lncRNAs in phenotype-genotype problems lncRNAs and single cell transcriptomics lncRNAs and spatial transcriptomics CRISPR/Cas9 and Genome editing in lncRNAs We invite you to submit papers with unpublished, original research describing recent advances on the areas related to this workshop. All papers will undergo peer review by the conference program committee. All papers accepted will be included in the Workshop Proceedings published by the IEEE Computer Society Press and will be available at the workshop. Authors of selected papers will be invited to extend their papers for submission to special issues in prestigious Journals. Fellowships: Funds are available for limited fellowships to support the participation of students, and of researchers from underrepresented minority groups in the workshop. We aim at supporting at least one author for each accepted paper, depending on number of papers, and on availability of funds. Journal Special Issue: Authors of selected submissions may be invited to extend their papers for submission for review and possible publication in a special issue of a journal. The journal special issue for the 2021 workshop is currently open and is being published by the Non-Coding RNA. https://www.mdpi.com/journal/ncrna/special_issues/81CH217P14 Paper Submission: (Abstract, Short Paper, or Full Paper) Please submit your abstract (1 page), short paper (2 pages), or full-length paper (up to 8 pages in IEEE 2-column format) through the online submission system. Electronic submissions in pdf format are required. Click on this link to submit paper. Important Dates: Oct 24, 2022 11:59:59 PM WST: Due date for full workshop paper submission. Nov 10, 2022: Notification of paper acceptance to authors Nov 21, 2022: Camera-ready of accepted papers Dec 6-9, 2022: Workshops BIBM-LncRNA'22 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Wed Oct 12 11:45:36 2022 From: sebastien.destercke at hds.utc.fr (=?UTF-8?Q?S=C3=A9bastien_Destercke?=) Date: Wed, 12 Oct 2022 17:45:36 +0200 Subject: Connectionists: Fourth SIPTA seminar: 21th October, at 15:00 CEST, Ignacio Montes talking about "Coalitional game theory vs Imprecise probabilities: Two sides of the same coin ... or not?" Message-ID: Dear Colleagues, We are delighted to announce our third 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. For this fourth seminar, we are very happy to have Ignacio Montes as our speaker. Ignacio Montes is currently Associate Professor at the Department of Statistics and Operations Research at the University of Oviedo, and has made many contributions to imprecise probabilities. He is well known for his contributions on rankings and on copulas within IP models, but has also made significant contributions to characterise practical models or to bridge notions between game theory and imprecise probabilities On the 21th October, at 15:00 CEST (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Coalitional game theory vs Imprecise probabilities: Two sides of the same coin ... or not??. 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 will appear on that same page shortly before the event. So please mark your calendars on the 21th October, at 15:00 CEST, 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 now online at https://www.youtube.com/watch?v=PFLBWTeW0II. See you at the seminar! S?bastien, Enrique and Jasper From er.anubajaj at gmail.com Thu Oct 13 03:20:56 2022 From: er.anubajaj at gmail.com (Anu Bajaj) Date: Thu, 13 Oct 2022 00:20:56 -0700 Subject: Connectionists: Deadline Extension: International Joint Conferences Online - Published by Springer LNNS Series (Scopus) Message-ID: ** Please circulate this CFP to your colleagues and networks! Many thanks in advance ** ------------On multiple requests from several authors, we have extended the submission deadline till October 20, 2022--------------- ** ISDA 2022 - HIS 2022 - SoCPaR 2022 - IBICA 2022 - IAS 2022 - NaBIC 2022 - WICT 2022 ** Publisher: Springer Verlag, LNNS Series Indexed by: SCOPUS, DBLP, INSPEC, SCImago etc. **Important Dates** --------------------- Paper submission due (Extended deadline): September 30, 2022 (October 20, 2022) Notification of paper acceptance : October 31, 2022 Registration and Final manuscript due : November 15, 2022 Conferences: December 12-17, 2022 -- 22nd International Conference on Intelligent Systems Design and Applications (ISDA?22) http://www.mirlabs.net/isda22 Proceedings of ISDA?21: https://link.springer.com/ book/10.1007/978-3-030-96308-8 Submission link: https://easychair.org/conferences/?conf=isda2022 -- 22nd International Conference on Hybrid Intelligent Systems (HIS'22) http://www.mirlabs.net/his22 Proceedings of HIS'21: https://link.springer.com/ book/10.1007/978-3-030-96305-7 Submission link: https://easychair.org/conferences/?conf=his20220 -- 18th International Conference on Information Assurance and Security (IAS 2022) http://www.mirlabs.org/ias22 Proceedings of IAS'21: https://link.springer.com/ book/10.1007/978-3-030-96305-7 Submission link: https://easychair.org/conferences/?conf=ias20220 -- 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) http://www.mirlabs.org/socpar22 Proceedings of SoCPaR'21: https://link.springer.com/ book/10.1007/978-3-030-96302-6 Submission link: https://easychair.org/conferences/?conf=socpar2022 -- 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022) http://www.mirlabs.net/nabic22 Proceedings of NaBIC'21: https://link.springer.com/ book/10.1007/978-3-030-96302-6 Submission link: https://easychair.org/conferences/?conf=nabic2022 -- 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA'22) http://www.mirlabs.net/ibica22 Proceedings of IBICA'21: https://link.springer.com/ book/10.1007/978-3-030-96299-9 Submission link: https://easychair.org/conferences/?conf=ibica2022 -- 12th World Congress on Information and Communication Technologies (WICT'22) http://www.mirlabs.org/wict22 Proceedings of WICT'21: https://link.springer.com/ book/10.1007/978-3-030-96299-9 Submission link: https://easychair.org/conferences/?conf=wict2022 ** Plenary Talks ** ------------------ Speaker 1: Catarina Silva, University of Coimbra, Portugal Speaker 2: Chuan-Kang Ting, National Tsing Hua University, Taiwan Speaker 3: Joanna Kolodziej, Cracow University of Technology, Poland Speaker 4: Kaisa Miettinen, University of Jyvaskyla, Finland Speaker 5: Kaspar Riesen, University of Bern, Switzerland Speaker 6: Katherine Malan, University of South Africa, South Africa Speaker 7: Maki Sakamoto, The University of Electro-Communications, Japan Speaker 8: M?rio Antunes, Polytechnic Institute of Leiria, Portugal Speaker 9: Patricia Melin, Tijuana Institute of Technology, Mexico Speaker 10: Ren? Natowicz, ESIEE-Paris - Universit? Gustave Eiffel, France Speaker 11: Yifei Pu, Sichuan University, China Speaker 12: Patrik Christen, FHNW, Institute for Information Systems, Switzerland ** About the International events ** ------------------------------------- Provides an international forum to share the latest research results, ideas and experiences in intelligent systems design and applications; soft computing; information assurance and security; nature-inspired computing, pattern recognition; and information and communication technologies by bringing together the leading communities in this research space. These events are built on a solid history, through ISDA to WICT, connecting young researchers with highly experienced peers to forge connections, which can last for many years. ** Topics (not limited to) ** ----------------------------- Intelligent Systems and Applications Hybrid Intelligent Systems Soft Computing and Pattern Recognition Nature and Biologically Inspired Computing Innovations in Bio-Inspired Computing and Applications Information and Assurance Security Innovations in Information and Communication Technologies Wireless Networks Data Mining IoT, Cloud Computing Software Engineering Digital Learning Cybersecurity **Submission Guidelines** ------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: https://www.springer.com/de/authors-editors/book-authors-editors/manuscript- preparation/5636#c3324 **Technical Contact** --------------------- Dr. Ajith Abraham Email: ajith.abraham at ieee.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Oct 13 05:31:42 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 13 Oct 2022 12:31:42 +0300 Subject: Connectionists: =?utf-8?q?New_book_=E2=80=9CArtificial_Intelligen?= =?utf-8?q?ce_Science_and_Society=E2=80=9D_=28Amazon/Kindle=29_deba?= =?utf-8?q?ting_=E2=80=9CAI_Science_and_Engineering=E2=80=9C_and_it?= =?utf-8?q?s_societal_impact?= References: <01000183cc212fed-e8afebc4-9c3e-425a-ae32-3210561e425a-000000@email.amazonses.com> <004601d8dee0$a0999550$e1ccbff0$@csd.auth.gr> <02d301d8dee4$72b899c0$5829cd40$@csd.auth.gr> Message-ID: <039201d8dee6$9b4e1660$d1ea4320$@csd.auth.gr> Dear AI professional, student, enthusiast, AI Science and Engineering is un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering in a new scientific discipline. It has huge impact on both our society and environment. The new book ?Artificial Intelligence Science and Society? consists of four volumes (parts) debating all technical and social grand challenges of AI Science and Engineering in an understandable and scientifically accurate manner: 1. ?Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology? https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860 2. ?Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans? https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860 3. ?Artificial Intelligence Science and Society Part C: AI Science and Society? https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860 4. ?Artificial Intelligence Science and Society Part D: AI Science and the Environment? https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860 They are self-sufficient and require no mathematical/scientific background. The four book volumes debate and try to forecast the future of AI Science and Engineering, as well as the upcoming Mind and Social Science and Engineering. They are published in Amazon/Kindle. Here is just an indicative list of few of the debated topics and grand AI challenges: * Is AI Science and Technology a scientific discipline in its own right? (Part A) * How can we quantify knowledge? (Part A) * Can Virtual Reality truly empower meta-societies or is it just a hype? (Part A) * Can AI-powered human-centred computing surpass human intelligence? (Part A) * Can we create self-conscious machines? (Part B) * Can Mind and Social Engineering manipulate human behaviour and social functions? (Part B) * How social media facilitate medical disinformation? (Part B) * What are the envisaged effects of AI and IT on our personal relations and sexual life? (Part B) * How can we not only protect but also monetize our personal data? (Part C) * Can AI help devising new political systems? (Part C) * How irrationalism, anti-elitism, and social media disinformation are related? (Part C) * Can new technologies ignite social revolutions? (Part C) * Is life and intelligence due to matter complexity? (Part D) * Can we patch parts of our brain? (Part D) * Is climate controllable through Geoengineering? (Part D) * Can humanity progress without resorting to energy-intensive technologies? (Part D) Part A Table of contents (276 pages): Data, Signals, Systems, Mathematics, Data Acquisition, Processing and Analysis, Data Storage and Search, Computer Vision, Data Visualization, Computer Graphics and Animation, Virtual and Augmented Reality, Audio, Speech, and Text Analysis, Machine Learning. Pattern Recognition, Deep Learning, Information, Metadata, Semantics, Concepts, Symbolic Artificial Intelligence, Knowledge, Anthropocentric Computing, Robotics, Autonomy, Networks and the Internet, The World Wide Web, Social Media, Network analytics, Swarm Intelligence, Software, Computing, Communications, Security, Blockchain. Part B Table of contents (276 pages): Nervous System, Brain, Brain imaging, Brain connectome, Neural and Brain Models, Sensing, Human Senses, Perception, Interoception, Physical Intelligen, Action and Motion, Mind, Cognition, Memory, Intelligence, Affect, Affective Computing, Language and Speech, Written Language and Communication, Consciousness and Self-awareness, Self-aware Machines, Computational Brain Modeling Tools, Brain-Inspired Computing, Medicine, Medical Genomics, Medical Data, Medical Disinformation, Pharmaceutics and Drug Discovery, Anti-vaccination Movement, Ambient Assisted Living, Minors, Sex, Pornography, Social Flexibility and Personal Relations. Part C Table of contents (335 pages): Identity, Intellectual Property,Privacy protection, Fake data, News and Agora, Media Production and Streaming, Music and Dance, Digital Humanities, Ex machina Arts, Computational Aesthetics, Research, Research Dissemination, Morphosis, Educational Methods, Education and Society, Truth, Justice, Digital Crime, Digital Markets,Online Marketing, Finance and Economics, AI and IT Economics, Cryptocurrencies, Non-Fungible Tokens, Digital Governance, Industry, Labor, Meta-agoras and Meta-societies, Politics and Democracy, Computational Politics, Societal and Political Networks, Social Activism, Irrationalism and Anti-elitism, Virtual Communities and Disinformation, Political Activism, Computational History, Computational Social Science, Ethics and Philosophy, Religion, Religious Practice and AI, Religious Art, War and Peace, Advanced Warfare, Revolution, Geopolitics, Trustworthy AI, Information and Knowledge society. Part D Table of contents (177 pages): Space and Time, Life, Bioinformatics, Systems Biology, Animal and Plant Intelligence, Bio-inspired Machines, Epidemiology, Microcosm, Ecology, Agriculture, Sustainable and Precision Agriculture, Organic Farming, Earth Sensing, Meteorology, Climate Change, Archaeology and Restoration, Smart Cities, Land Transportation, Shipping, Aviation, Renewable Energy, Green Information Technologies, Sustainable Earth Resources, Geology and Seismology, Space and Astronomy, Law of Complexity. About the author: This book is a result of a two-year effort by Prof. Ioannis. Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) and was influenced by his being principal investigator of 75+ R&D projects on Computer Vision, Machine Learning, Digital Media and chairing the International AI Doctoral Academy (AIDA). Prof. I. Pitas is Director of the Artificial Intelligence and Information Analysis (AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. He was chair and initiator of the IEEE Autonomous Systems Initiative (ASI). He has (co-)authored 15 books, 45 book chapters and over 950 papers in the above topics. He has 34500+ citations to his work and h-index 87+. He is ranked 319 worldwide and first in Greece in the field of Computer Science (2022). Enjoy! Prof. Ioannis. Pitas -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefania.dellapenna at itab.unich.it Thu Oct 13 07:19:31 2022 From: stefania.dellapenna at itab.unich.it (Stefania Della Penna) Date: Thu, 13 Oct 2022 13:19:31 +0200 Subject: Connectionists: Postdoc position at the University of Chieti-Pescara Message-ID: <202210131119.29DBJYeG040878@scs-mx-01.andrew.cmu.edu> Dear all, We're hiring a Postdoctoral Research Fellow at the University of Chieti-Pescara in Chieti, Italy. Please see the text below. The deadline is Oct 27, 2022. The project is about the identification of novel non-invasive functional imaging biomarker obtained from activity, connectomic (spatio-temporal patterns of connectivity) and the underlying topology revealed by electrophysiological imaging (EEG/MEG). The suitable candidate should be a recent PhD graduate with a physics or engineering or informatics or mathematics or similar background. The call is D.R. n. 1508 prot.nr. 65389 del 20/09/2022, available together with further documentation (available by clicking on ALLEGATI) at the link https://www.unich.it/ateneo/concorsi-e-gare/assegni-di-ricerca. In the document scheda_1_declaratoria_assegni.pdf, the position I'm supervisin is N. 2. The application should be submitted at https://pica.cineca.it/unich/22ar011/ For any question on the call, topics and procedures, please contact me at stefania.dellapenna at itab.unich.it Best Regards Stefania Stefania Della Penna, Phd Associate Professor of Physics Institute of Advanced Biomedical Technologies and Department of Neuroscience, Imaging and Clinical Sciences University of Chieti "G. d'Annunzio" Via dei Vestini - Campus Universitario 66013 Chieti - ITALY ph: +39-0871-3556937/04 fax:+39-0871-3556930 -------------- next part -------------- An HTML attachment was scrubbed... URL: From brainandmorelab at gmail.com Thu Oct 13 08:13:59 2022 From: brainandmorelab at gmail.com (Brain and More Lab) Date: Thu, 13 Oct 2022 14:13:59 +0200 Subject: Connectionists: multiple job position at Sano center for computational medicine Message-ID: Multiple job positions!!!! We are hiring! Do you want to join a vibing research group focused on neuroimaging in Krakow? And the possibility of spinning-off your own startup? With cutting-edge ideas, working environment with plants and dogs, pizza and scientific outreach? Here is a video of our last summer school https://www.youtube.com/watch?v=iCatsTUaW9M We are looking for 1. machine learning software developer (applied to neuroimaging and VR/AR): https://sano.science/job-offers/scientific-developer-in-machine-learning-applied-to-neuroimaging-and-vr-ar/ 2. PhD student in machine learning for either neuroimaging or complex networks: https://sano.science/job-offers/phd-student-position-in-neuroimaging/ 3. Postdoc on machine learning for either neuroimaging or complex networks: https://sano.science/job-offers/postdoctoral-fellowship-in-neuroimaging/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From rava at ens.fr Thu Oct 13 12:32:39 2022 From: rava at ens.fr (Rava A. da Silveira) Date: Thu, 13 Oct 2022 18:32:39 +0200 Subject: Connectionists: Research Associate in Computational Neuroscience, Image Processing and Analysis Message-ID: *Research Associate in Computational Neuroscience, Image Processing and Analysis* The Institute of Molecular and Clinical Ophthalmology Basel (IOB) invites applications for a joint *Research Associate or Postdoctoral Researcher* position mentored by Rava Azeredo da Silveira, Botond Roska, and Guilherme Testa-Silva. The position is focused on understanding neuronal coding and representations using large scale voltage imaging datasets. A successful candidate will have a strong background in mathematics, statistics, artificial intelligence, physics, computer science or engineering. Proficiency in image processing, signal processing, clustering, and classification as well as experience with data-driven engineering, numerical methods, and neuroscience topics are highly desirable. Equally desirable are the spirit of intellectual adventure and the thirst for discovery. *The IOB offers* highly competitive conditions in a dynamic and international research community in Basel. IOB is an equal-opportunity employer with family-friendly work policies. *Application / Contact* Interested candidates should submit their application documents as a *single PDF* file to jobs at iob.ch including (1) a letter of motivation, (2) a statement of research interests, limited to two pages and (3) a curriculum vit? including a list of publications. In addition, three letters of recommendations should be sent to the same email address. For further information, please visit our website www.iob.ch or contact *Rava A. da Silveira* (silveira at iob.ch) or *Guilherme Testa-Silva* ( guilherme.silva at iob.ch) -------------- next part -------------- An HTML attachment was scrubbed... URL: From dayan at tue.mpg.de Fri Oct 14 05:24:46 2022 From: dayan at tue.mpg.de (Peter Dayan) Date: Fri, 14 Oct 2022 11:24:46 +0200 Subject: Connectionists: 5 year Neuroscience MSc/PhD Programme in Tuebingen Message-ID: <20221014092446.ds54zhm2en2uh3sv@tuebingen.mpg.de> 5-Year combined MSc/PhD program of the International Max Planck Research School: The Mechanisms of Mental Function and Dysfunction The Max Planck Institute for Biological Cybernetics, the Hertie Institute for Clinical Brain Research and the University of T?bingen invite students from all over the world to apply for their interdisciplinary 5-year combined MSc/PhD program leading to a PhD in Neuroscience. MSc Scholarships will be available for top-ranked applicants. We are seeking talented, curious and open-minded young scientists with strong backgrounds in neuroscience, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, or engineering. Successful candidates will possess a burning aspiration to shape the future of neuroscience and the ability to thrive in a fast-paced, interdisciplinary, environment. The application deadline is 30th November 2022. Please visit: https://www.kyb.tuebingen.mpg.de/imprs-mmfd for more details and information about applying. The MSc/PhD program is a collaboration between the Max Planck Institute for Biological Cybernetics, the Hertie Institute for Clinical Brain Research and the University of T?bingen. It is closely affiliated with the renowned Graduate Training Centre of Neuroscience, the centerpiece of neuroscience training in T?bingen. Students (who should have been awarded a Bachelor's degree by September 2023) will receive a broad interdisciplinary training in neuroscience, including expert teaching by international renowned scientists and individual and intensive mentoring. Potential research topics cover a variety of fields in systems neuroscience, cognitive and behavioral neuroscience, computational neuroscience, translational and clinical neuroscience as well as cellular and molecular neuroscience. Teaching and research are conducted in English. -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/x-pkcs7-signature Size: 4936 bytes Desc: not available URL: From fasoto at fiu.edu Sat Oct 15 19:48:10 2022 From: fasoto at fiu.edu (Fabian Soto) Date: Sat, 15 Oct 2022 23:48:10 +0000 Subject: Connectionists: Deadline extended: Poster submissions to Math Psych at Psychonomics 2022 Message-ID: Dear Colleagues: We are now accepting submissions for poster presentations at SMP at Psychonomics, the pre-meeting of the Society for Mathematical Psychology at the Annual Meeting of the Psychonomic Society that will be held on November 17th. Abstracts submission deadline has been extended to October 21st and must be at most 150 words. Please submit abstracts by email to symposium at mathpsych.org. Decision emails will be send promptly after the deadline. We welcome submissions relating to any topic within mathematical psychology, broadly defined to include work of a theoretical character that uses mathematical methods, formal logic, or computer simulation. Our theme for the invited talks this year is Computational Psychiatry: How Can Mathematical Psychology Contribute To This Emerging Field? Confirmed speakers include: Bilal Bari (MGH / McLean Hospital) Andra Geana (Brown University) Frederike Petzscher (Brown University) Albert Powers (Yale University) Michael Lee (UC Irvine) Poornima Kumar (Harvard Medical School) The Psychonomic Society meeting, and hence our symposium, will be in-person this year. The invited talks and discussion will be scheduled during the morning, and the poster presentations will be in the early afternoon. Please email us at symposium at mathpsych.org or fasoto at fiu.edu with any questions. Best, Fabian Soto -- Fabian A. Soto Associate Professor Department of Psychology Florida International University Modesto A. Maidique Campus 11200 SW 8th St, AHC4 460 Miami, FL 33199 Phone: 305-348-8423 Fax: 305-348-6670 Email: fasoto at fiu.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Sun Oct 16 10:46:20 2022 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Sun, 16 Oct 2022 16:46:20 +0200 Subject: Connectionists: [CfP] [Deadline extended] The 3rd international workshop on Machine Learning for EEG Signal Processing (MLESP) In-Reply-To: <6c024f22-c485-1d64-21a0-4c9b2a5cd2d9@ai.univ-paris8.fr> References: <8f51ad5e-b276-8a29-df0f-b2da8e672395@ai.univ-paris8.fr> <71c6d4bc-d6ba-a308-63ed-b5c7e205e14e@ai.univ-paris8.fr> <6c024f22-c485-1d64-21a0-4c9b2a5cd2d9@ai.univ-paris8.fr> Message-ID: [Apologies for multiple postings] ** *CALL FOR PAPERS* The 3^rd international workshop on Machine Learning for EEG Signal Processing (MLESP 2022, https://mlesp2022.sciencesconf.org/) will be held in Las Vegas, USA, from 6 to 9 december 2022, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2022, https://ieeebibm.org/BIBM2022/) *Overview* EEG signal processing involves the analysis and treatment of the electrical activity of the brain measured with Electroencephalography, or EEG, in order to provide useful information on which decisions can be made. The recent advances in signal processing and machine learning for EEG data processing have brought an impressive progress to solve several practical and challenging problems in many areas such as healthcare, biomedicine, biomedical engineering, BCI and biometrics. The aim of this workshop is to present and discuss the recent advances in machine learning for EEG signal analysis and processing. We are inviting original research work, as well as significant work-in-progress, covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in EEG data analytics. This workshop is an opportunity to bring together academic and industrial scientists to discuss the recent advances. The topics of interest include but not limited to: - EEG signal processing and analysis - Time-frequency EEG signal analysis - Signal processing for EEG Data - EEG feature extraction and selection - Machine learning for EEG signal processing - EEG classification and Hierarchical clustering - EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's disease, etc.) - Machine learning in EEG Big Data - Deep Learning for EEG Big Data - Neural Rehabilitation Engineering - Brain-Computer Interface - Neurofeedback - EEG-based Biometrics - Related applications Important Dates Aug. 31, 2022***Oct. 31, 2022* (11:59 pm CST): Due date for full workshop papers submission Nov. 15, 2022: Notification of paper acceptance to authors Nov. 19, 2022: Camera-ready of accepted papers Dec 6-9, 2022: Workshops Paper Submission - Please submit a full-length paper (up to 8 page IEEE 2-column format) through the online submission system. You can download the format instruction here: https://www.ieee.org/conferences/publishing/templates.html - Electronic submissions in PDF format are required. Online Submission https://wi-lab.com/cyberchair/2022/bibm22/scripts/submit.php?subarea=S02&undisplay_detail=1&wh=/cyberchair/2022/bibm22/scripts/ws_submit.php Publication All accepted papers will be published in the BIBM proceedings and IEEE Xplore Digital Library. *Contact* Prof. Larbi Boubchir /(//Workshop Chair/),University of Paris 8, France E-mail: larbi.boubchir at univ-paris8.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From steve at bu.edu Fri Oct 14 11:21:33 2022 From: steve at bu.edu (Grossberg, Stephen) Date: Fri, 14 Oct 2022 15:21:33 +0000 Subject: Connectionists: I was just awarded the Lotfi A. Zadeh Pioneer award from the IEEE SMC Society In-Reply-To: References: Message-ID: Dear Connectionists Colleagues, I was just awarded the Lofti A. Zadeh Pioneer Award from the IEEE Systems, Man, and Cybernetics Society for ?seminal contributions to understanding brain cognition and behavior and their emulation by technology.? These contributions are summarized in my recently published Magnum Opus: Conscious Mind, Resonant Brain: How Each Brain Makes a Mind https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 I wrote this book to be self-contained and non-technical in a conversational tone for the general public, no less than for students and researchers in science, engineering, and AI As many of you may know, Lotfi Zadeh introduced and developed the field of Fuzzy Logic into a wide-ranging and highly influential contribution to science and engineering. His impact is illustrated by the fact that his work has been cited 235,570 times: https://scholar.google.com/citations?user=S6H-0RAAAAAJ&hl=en&oi=ao My acceptance statement is summarized below: I feel greatly honored to be awarded a Lotfi A. Zadeh Pioneer Award of the IEEE SMC Society. Lotfi was a personal friend as well as a scientist and engineer whom I greatly admired. We also both shared a history of being PIONEERS who introduced and developed many of the foundational concepts and models of our fields, his the field of Fuzzy Logic and its related branches, and me the fields of biological and artificial neural networks, computational neuroscience, and theoretical psychology and cognitive neuroscience. Your award to me for my contributions to understanding brain cognition and behavior and their emulation in technology beautifully summarizes what my life?s work is all about. Thanks VERY much for this wonderful honor. I will always treasure it. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Fabrice.AUZANNEAU at cea.fr Fri Oct 14 12:04:37 2022 From: Fabrice.AUZANNEAU at cea.fr (AUZANNEAU Fabrice) Date: Fri, 14 Oct 2022 16:04:37 +0000 Subject: Connectionists: Open PhD position "Neural networks for improving speech understanding in real-time embedded systems" Message-ID: Neural networks for improving speech understanding in real-time embedded systems INFORMATION ABOUT THE POSITION * Position: PhD student * Project: Embedded Artificial Intelligence lab, CEA List * Location: France > Palaiseau (Paris region) * Research Field: Artificial Intelligence * Duration of Contract: 3 years * Starting date: November 2022 Contact Fabrice Auzanneau (fabrice.auzanneau at cea.fr) Rationale Worldwide, around 466 million people currently suffer from hearing loss. To remedy the loss of hearing sensitivity, portable hearing aids have been designed for almost a century. However, fifty percent of hearing impaired people who need hearing aids do not use them, mainly because of their poor efficiency in complex or noisy environments despite lengthy fitting sessions. In particular, people suffering from Auditory Neuropathy Spectrum Disorders (ANSDs, 1 to 10% of adults with hearing loss) enjoy little or no benefit from current hearing aids. Contrary to regular hearing losses, The ANSDs form a continuum of hearing impairments due to synaptic or neuronal dysfunction in the peripheral and central parts of the auditory pathways. ANSDs impair the processing of temporal information without necessarily affecting auditory sensitivity. This can have a particularly dramatic impact in scenarios where the speech of interest is present together with some background noise or with one or several concurrent speakers. Temporal cues are essential, not only for piecing together speech-related information in different frequency bands, but also for source separation in cocktail-party situations with spatially distributed, competing speech sources. Thus, the main need of ANSD subjects, shared with ageing subjects who experience central auditory-processing difficulties, is not to restore audibility but more to improve their speech perception by compensating for the deterioration of acoustic cues that rely on temporal precision. Conventional hearing aids mainly rely on sound amplification and focus on spectral enhancement to improve speech analysis, which is not suited here. This PhD fits within the scope of the ANR project "REFINED" involving the Laboratory of Embedded Artificial Intelligence in CEA List in Paris (https://list.cea.fr/) , the Multispeech research team In LORIA, Nancy (https://team.inria.fr/multispeech/), and the Hearing Institute in Paris (https://www.institut-audition.fr/). The project aims at studying new Deep Learning based methods to improve hearing acuity of ANSD patients. A cohort of ANSD volunteers will be tested to identify spectro-temporal auditory and extra-auditory cues correlated with the speech perception. Additionally, the benefits of neural networks will be studied. However, current artificial intelligence methods are too complex to be applied to processors with low computing and memory capacities: compression and optimization methods are needed. State of the art Neural networks for audition: Speech transmission degrades quickly in complex acoustic scenes composed of several sound sources and simultaneous speakers. Since the 70s, a large body of work has been dedicated to extract the speech of interest from a complex mixture or to separate each individual source composing the mixture, in part for the benefit of persons with hearing losses. Recent years have seen new approaches involving machine learning (a branch of artificial intelligence), in particular Deep Neural Networks. Current trends include using neural networks to estimate filters or target signals directly [1, 2] or time-frequency masks that are used in turn to compute standard filters [3, 4]. Despite improvements in the performances of speech enhancement and source separation algorithms, the recent tendency of end-to-end approaches (that work directly on the waveform instead of relying on pre-computed time-frequency representations) leads to models that are far too complex to be used in embedded devices like hearing aids. Indeed, the increased complexity of these speech enhancement algorithms [3] have adverse consequences on the real time performance of the hearing device, often preventing them from being implemented within the device. For instance, the latency that can exist between the movements of the speaker's lips and the sound reproduced by the hearing aid is a major source of discomfort for the user. Embedded AI: Implementing efficient real-time neural networks on constrained embedded systems with optimal accuracy requires rethinking the design, training, and deployment of models. A large body of literature has addressed these issues and efforts have been put on optimizing deep networks, mainly in two aspects: * Designing more efficient network architectures which maintain reasonable accuracy with relative smaller model size, such as MobileNet and SqueezeNet, * Reducing the network's size by means of compression or encoding. Two of the most studied compression solutions are pruning and quantization. Pruning removes redundant parameters or neurons that do not contribute significantly to the accuracy of the results [6]. Quantization refers to techniques for performing calculations and storing tensors at bit widths smaller than single-precision floating-point (32 bits). A quantized model performs some or all of the tensor operations with integers rather than floating-point values [7]. This allows for a more compact representation of the model and the use of high-performance vectorised operations on many hardware platforms. Innovation The goal of this PhD is to study the contribution of new attention-based models (such as transformers) to speech enhancement and to propose a systematic procedure to reduce the complexity of such algorithms sufficiently to allow for their embedding on portable devices while still meeting the quality estimation criterion defined through listening test with patients. The student will explore approaches such as transfer learning and knowledge distillation in order to reduce the model complexity while preserving the performance. He/she will also explore approaches enforcing sparsity in the models to facilitate effective pruning [6] and perform preliminary experiments based on quantization [7] to reduce overall model complexity. These latter approaches will introduce performance degradation. He/she will analyze the relation between complexity reduction and performance degradation in order to define complexity reduction approaches under signal / cues estimation performance. The thesis work aims at exploring new AI-based methods to improve the hearing of ANSD patients. It addresses three main points: * The use of AI for hearing is a fairly recent topic: this research addresses the study of various types of networks used in the state of the art, explore the relevance of new emerging networks such as Transformers based on the attention mechanism, and of transfer learning, * The application to the special case of ANSD, which is different from enhancement and source separation [5], will be taken into account, * In order to respect the constraints of an embedding design, such as low power, latency, small memory and computing size, this work will explore the relevance of different neural networks compression techniques such as quantization, knowledge distillation or other parameter reduction methods. Required skills The profile of the candidate is an engineer or a university graduate with a very good record. He/she should have good knowledge in computer science, in audio signal processing and electronics and experience in artificial intelligence. The candidate must master computer development (C/C++). Good oral and written skills in French and English. About the CEA and LIST The CEA (French Commission for Atomic and Renewable Energy) is a public research institute. It plays an important role in the research, development and innovation community. The CEA has four missions: security and defense, nuclear energy (fission and fusion), technology research for industry and fundamental research. With 16 000 employees, including technicians, engineers, researchers and support personnel, the CEA is involved in numerous research projects in collaboration with both academic and industrial partners. In the section of the CEA focused on technology research for industry, the LIST institute is focused on intelligent digital systems. This institute has a culture of innovation and has as a mission to transfer these technologies to industrial partners. The DSCIN department specializes in complex digital and embedded systems for Artificical Intelligence (AI), High-Performance Computing (HPC) and Cyber security applications. The focus of the LIAE laboratory is Embedded Artificial Intelligence, perception combined with multimodal sensors (including vision sensors). The lab is located in the Paris region (Palaiseau). References [1] Kolbaek, M. et al. Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks. IEEE/ACM Trans. Audio, Speech and Lang. Proc. 25, 1901-1913 (2017). [2] Luo, Y., Chen, Z., Mesgarani, N. & Yoshioka, T. End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation. arXiv:1910.14104 [cs, eess] (2020). [3] Furnon, N., Serizel, R., Illina, I. & Essid, S. Distributed speech separation in spatially unconstrained microphone arrays. in ICASSP 2021 - 46th International Conference on Acoustics, Speech, and Signal Processing (2021). [4] Heymann, J., Drude, L. & Haeb-Umbach, R. Neural network based spectral mask estimation for acoustic beamforming. in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 196-200 (2016). doi:10.1109/ICASSP.2016.7471664. [5] Berlin, C. I. et al. Multi-site diagnosis and management of 260 patients with auditory neuropathy/dys-synchrony (auditory neuropathy spectrum disorder). Int J Audiol 49, 30-43 (2010). [6] Blalock, D. et al. What is the State of Neural Network Pruning? Proceedings of Machine Learning and Systems 2020 (MLSys 2020) https://arxiv.org/abs/2003.03033 [7] Gholami, A. et al. A Survey of Quantization Methods for Efficient Neural Network Inference. https://arxiv.org/abs/2103.13630 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Stefano.Rovetta at unige.it Sat Oct 15 05:37:10 2022 From: Stefano.Rovetta at unige.it (Stefano Rovetta) Date: Sat, 15 Oct 2022 11:37:10 +0200 Subject: Connectionists: CFP FUTURE INTERNET Special Issue: "Making Sense of Machine Senses: Signal Understanding beyond Computer Vision in Next-Generation Internet Applications" Message-ID: <20221015113710.Horde.8mP3V_I_vVSBo1Cn5GA-GO0@posta.unige.it> FUTURE INTERNET Special Issue: "Making Sense of Machine Senses: Signal Understanding beyond Computer Vision in Next-Generation Internet Applications" Deadline: 31 march 2023 https://www.mdpi.com/journal/futureinternet/special_issues/1W7143A802 While the prominent role of computer vision is clearly evident in machine learning applications, other artificial sensory modalities have seen notable progress in recent years. For instance, ?machine listening? has attained a high level of accuracy, either for speech signals or other types of audio signals, with applications such as speech recognition, first and foremost, but also voice emotion recognition, audio surveillance and event detection. Of apparently more limited interest, but actually with very promising development potential, also artificial touch (currently mainly applied in robotics) and artificial nose (for gas sensing) have recently experienced interesting advances. Development in the area of artificial senses, combined with the diffusion of high-speed and low-latency networks, may potentially pave the way to a whole generation of new networked devices and distributed applications that are more immersive, empathic and environment-aware, possibly based on entirely novel interaction paradigms. Most tasks, however, require mining knowledge from signals which, at some or all levels, lack clear and manageable models. For instance, while the problem of modelling speech is reasonably solved, the problem of modelling voice emotion (either for prosodic synthesis or for recognition) is largely open, as well as subject to contextual influences. Due to these issues, it is no wonder that computational intelligence and machine learning, especially deep neural networks, represent the most common approach in this area. This Special Issue welcomes contributions on advances in the technology of artificial senses for internet applications, in the form of methodological advancements, theory, or new data collections. Topics include advanced and future applications and technologies, made possible by the evolution of the Internet, that revolve around (for instance): analysis and understanding of speech, environmental audio and sound; touch sense and related technologies (e.g., whiskers and proximity sensing); artificial noses and taste sensors; without excluding possible other technologies. However, emphasis should be given to the tasks of understanding and making sense of the incoming artificial sensory signals, as well as possibly on synthesis and generation, rather than on the sensor technologies themselves. Application areas may include personal assistants, event detection, scene analysis and object recognition, surveillance, human?computer interaction, prosthetics, computer-assisted and autonomous driving, crowd management, smart houses and appliances, among others. Guest Editor: Stefano Rovetta Department of Computer Science Robotics and Systems Engineering, University of Genoa, Genoa, Italy From david at irdta.eu Sat Oct 15 10:58:48 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 15 Oct 2022 16:58:48 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Winter: early registration October 24 Message-ID: <1024724375.499988.1665845928549@webmail.strato.com> ****************************************************************** 8th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Winter Bournemouth, UK January 16-20, 2023 https://irdta.eu/deeplearn/2023wi/ *********** Co-organized by: Department of Computing and Informatics Bournemouth University Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: October 24, 2022 ****************************************************************** SCOPE: DeepLearn 2023 Winter 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 and Lule?. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting 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, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. 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. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. 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 2023 Winter 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 2023 Winter will take place in Bournemouth, a coastal resort town on the south coast of England. The venue will be: Talbot Campus Bournemouth University https://www.bournemouth.ac.uk/about/contact-us/directions-maps/directions-our-talbot-campus 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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yi Ma (University of California, Berkeley), CTRL: Closed-Loop Data Transcription via Rate Reduction Daphna Weinshall (Hebrew University of Jerusalem), Curriculum Learning in Deep Networks Eric P. Xing (Carnegie Mellon University), It Is Time for Deep Learning to Understand Its Expense Bills PROFESSORS AND COURSES: Mohammed Bennamoun (University of Western Australia), [intermediate/advanced] Deep Learning for 3D Vision Matias Carrasco Kind (University of Illinois, Urbana-Champaign), [intermediate] Anomaly Detection Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Graph Representation Learning Seungjin Choi (Intellicode), [introductory/intermediate] Bayesian Optimization over Continuous, Discrete, or Hybrid Spaces Sumit Chopra (New York University), [intermediate] Deep Learning in Healthcare Luc De Raedt (KU Leuven), [introductory/intermediate] From Statistical Relational to Neuro-Symbolic Artificial Intelligence Marco Duarte (University of Massachusetts, Amherst), [introductory/intermediate] Explainable Machine Learning Jo?o Gama (University of Porto), [introductory] Learning from Data Streams: Challenges, Issues, and Opportunities Claus Horn (Zurich University of Applied Sciences), [intermediate] Deep Learning for Biotechnology Zhiting Hu (University of California, San Diego) & Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] A "Standard Model" for Machine Learning with All Experiences Nathalie Japkowicz (American University), [intermediate/advanced] Learning from Class Imbalances Gregor Kasieczka (University of Hamburg), [introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models Karen Livescu (Toyota Technological Institute at Chicago), [intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond David McAllester (Toyota Technological Institute at Chicago), [intermediate/advanced] Information Theory for Deep Learning Abdelrahman Mohamed (Meta), [intermediate/advanced] Speech Representation Learning for Recognition and Generation Dhabaleswar K. Panda (Ohio State University), [intermediate] Exploiting High-performance Computing for Deep Learning: Why and How? Fabio Roli (University of Cagliari), [introductory/intermediate] Adversarial Machine Learning Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Richa Singh (Indian Institute of Technology Jodhpur), [introductory/intermediate] Trusted AI Kunal Talwar (Apple), [introductory/intermediate] Foundations of Differentially Private Learning Tinne Tuytelaars (KU Leuven), [introductory/intermediate] Continual Learning in Deep Neural Networks Lyle Ungar (University of Pennsylvania), [intermediate] Natural Language Processing using Deep Learning Bram van Ginneken (Radboud University Medical Center), [introductory/intermediate] Deep Learning for Medical Image Analysis Yu-Dong Zhang (University of Leicester), [introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis 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 January 8, 2023. 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 January 8, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company 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 January 8, 2023. ORGANIZING COMMITTEE: Rashid Bakirov (Bournemouth, local co-chair) Marcin Budka (Bournemouth) Vegard Engen (Bournemouth) Nan Jiang (Bournemouth, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023wi/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. 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 courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2023wi/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Bournemouth University Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From cfp at okipublishing.com Sat Oct 15 15:29:30 2022 From: cfp at okipublishing.com (cfp at okipublishing.com) Date: Sat, 15 Oct 2022 19:29:30 +0000 Subject: Connectionists: Call for Tech Sessions and Abstracts|| 2023 OkIP Conf || Online & OKC, OK, USA October 2-5 Message-ID: <9b955b6c03e8ca022951899b9ea04202@okipublishing.com> The 2023 OkIP AIC Organizing Committee invites proposals for Technical Sessions to be held on October 2-5, 2023, in conjunction with the 2023 OkIP technical conferences. https://www.okipublishing.com/okip/events/conferences/invited-technical-sessions.html >>> Areas of interest include, but are not limited to, those of the 2023 >>> OkIP technical conferences: * Automated and Intelligent Systems (CAIS): - AI, Machine Learning (ML), and Applications - Agent-based, Automated, and Distributed Supports - Intelligent Systems and Applications - Knowledge-based and Control Supports - Robotics and Vehicles * Software Engineering Research & Development (SERD) * Cloud Computing and Technologies (CCCT) * Data Technology and Engineering (CDTE) * Electronic Commerce and Applications (CECA) * Learning and Technology in Education (CETE) * Enterprise and Software Process (CESP) * Green Research & Technology (CGRT) * Health Information Technology (AHIT) * High-Performance Computing (AHPC) * Power and Energy (CAPE) >>> Technical Session Proposal Content Proposals should include the following information: 1) Title of the Invited Technical Session 2) Organizers of the Invited Session 3) Brief session description (2-3 paragraphs) explaining the goal of the invited session and the overarching themes of the submitted papers 4) Corresponding keywords 5) Timeline for the paper selection process Papers part of an Invited Technical Session proposal will undergo the same peer review process as the OkIP Conference regular papers. If the invited session does not have enough papers accepted, then other papers may be added to the session. If the Invited Technical Session is canceled, the accepted papers submitted to the session will be moved to a regular session of a related OkIP conference. >>> Technical Session Proposal Important Dates Proposal Submission:? January 9, 2023 Author Notifications:? January 31, 2023 Conference Date: October 2-5, 2023 >>> How to submit your Technical Session Proposal https://eventutor.com/e/TSWP003 >>> 2023 OkIP Conferences is Accepting Technical Paper Abstracts https://eventutor.com/event/31/page/119-conferences Please email us for more information: info at okipublishing.com From marcello.pelillo at gmail.com Sat Oct 15 06:41:10 2022 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Sat, 15 Oct 2022 12:41:10 +0200 Subject: Connectionists: Frontiers in Computer Vision - Call for contributions and Research Topics proposals Message-ID: Dear colleagues, the *Computer Vision* section of *Frontiers in Computer Science* welcomes original contributions in all relevant areas of computer vision, from both academia and industry: https://www.frontiersin.org/journals/computer-science/sections/computer-vision Among the distinguishing features of Frontiers' open-access journals are fast publication time and an innovative collaborative peer-review process (see here for details). We also particularly welcome Research Topics proposals on cutting-edge themes: https://www.frontiersin.org/about/research-topics Here's a list of the most recent ones: - Perceptual Organization in Computer and Biological Vision - Body Talks: Advances in Passive Visual Automated Body Analysis for Biomedical Purposes - Optimization Methods and Machine Learning Techniques in Image Sciences - Trustworthy Visual Intelligence: From Theory to Practice - Learning Deep Visual Understanding Models with Limited Annotations - Advances in Long-Tail Learning - Making Visual SLAM Useful for Real-World Applications - Novel Methods for Human Face and Body Perception and Generation - Segmentation and Classification: Theories, Algorithms, and Applications - Deep Learning with Few Labeled Training Data in Computer Vision and Image Analysis If you have any questions about the journal, feel free to contact me or the editorial office. Best regards -mp -- Marcello Pelillo, *FIEEE, FIAPR, FAAIA* Professor of Computer Science Ca' Foscari University of Venice, Italy IEEE SMC Distinguished Lecturer Specialty Chief Editor, *Computer Vision - Frontiers in Computer Science* -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Sun Oct 16 06:03:27 2022 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Sun, 16 Oct 2022 10:03:27 +0000 Subject: Connectionists: Closing Soon! Postdoc (3 years) in computational neuroscience/machine learning at the University of Nottingham (UK) In-Reply-To: References: Message-ID: The Humphries? lab at the University of Nottingham is seeking a postdoc to join a project developing a precision medicine platform for neuromodulation, in collaboration with MachineMedicine Technologies and St George?s Hospital, London. A crucial unmet need in the management of Parkinson?s disease is how to reliably identify patients that would benefit from deep brain stimulation, the most effective treatment for Parkinson?s. The project team will create a machine-learning platform that synthesises wide-ranging personal and clinical data, combined with neural modelling, to predict the suitability of each Parkinson?s disease patient for deep brain stimulation. An exciting opportunity for the pipeline will be integrating computational models of the neural circuits disrupted in Parkinson?s. The Humphries? lab researches fundamental insights into how the joint activity of neurons encodes actions in the world and is disrupted in movement disorders (https://www.humphries-lab.org). The post is for 3 years, full-time. Nottingham University welcomes researchers from around the globe. As part of this support, the university will provide financial support to the post-holder for all visa costs. Unsure if you're a good fit for the post? Got any questions? Then contact Mark for a chat: mark.humphries at nottingham.ac.uk. For full details of the role and how to applyhttps://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI437522 Closing date: October 26th 2022 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 valentini at di.unimi.it Sun Oct 16 12:46:29 2022 From: valentini at di.unimi.it (Giorgio Valentini) Date: Sun, 16 Oct 2022 18:46:29 +0200 Subject: Connectionists: =?utf-8?q?Computer_Science_Assistant_Professor_po?= =?utf-8?q?sitions_for_the_=E2=80=9CNational_Center_for_Gene_Therapy_and_D?= =?utf-8?q?rugs_based_on_RNA_Technology=E2=80=9D?= Message-ID: <35a0ace2-cd30-6461-64da-b9dbe3b152ad@di.unimi.it> Call for 2 Computer Science positions at Assistant professor level at the Department of Computer Science of the University of Milan (Italy) for the NextGenerationEU project ?National Center for Gene Therapy and Drugs based on RNA Technology? funded by the Italy?s recovery and resilience plan (PNRR) The project includes more than 40 Universities, Research Centers and Companies with the objective of developing innovative RNA drugs for the therapy of cancer, genetic and neuro-degenerative and infective diseases, with an overall budget of about 400M Euros. In this context the Spoke n. 7 ? Biocomputing of the consortium funds 2 Assistant Professor positions (italian RTDA) for the project ?Graph Representation Learning methods for the analysis of biomedical Knowledge Graphs?, under the supervision of prof. Giorgio Valentini (Computer Science Dept. of the University of Milan). The main goal of the project is to design and develop Graph Representation Learning methods for the analysis of heterogeneous graphs and for the construction of biomedical Knowledge Graphs. The developed methods will be applied to the analysis of Knowledge Graphs for drug repurposing, drug-target prediction and other node label and edge prediction biomedical problems, with a particular focus on RNA drugs for the therapy of cancer and genetic diseases. Scientific director of the project: prof. Giorgio Valentini Required commitment : full time Possible candidates are PhDs having a background in Machine Learning and/or DataBase and/or Bioinformatics with a propensity for applications in the bio-medical field. Specific functions that the researcher is called to perform: ? Scientific functions: The first RTDA position will concern the development of Graph Representation Learning methods based on random walk and Graph Neural Network specifically designed to solve relevant Network Medicine problems. The second RTDA position will concern both the development of methods for the construction of biomedical Knowledge Graphs, and the application of Graph Representation Learning and graph-based methods for their analysis. A significant part of the research activities will involve the efficient software implementation of algorithms for the construction and analysis of Knowledge Graphs capable of scaling with large heterogeneous graphs. ? Teaching functions: connected to the coverage needs of laboratories / fundamental courses of the Degrees Bachelor's and Master's of the Computer Science Department (in English language) and / or basic service courses provided by the Department for other degree courses related to the topics of interest of the PNRR project. The research activities will take place at the Computer Science Department of the University of Milan, in collaboration with other national and international research centers involved in the research project itself. The call for applications for the RTDA positions is available at the following link (sorry at the moment is in Italian only): https://www.unimi.it/it/ateneo/lavora-con-noi/reclutamento-ricercatori/selezioni-ricercatori/ricercatore-tipo-pnrr-sc-01/b1-ssd-inf/01-codice-5113 Please, note that the deadline for submitting applications is very strict: October 26, 2022. For further information, please contact Giorgio Valentini, e-mail: valentini at di.unimi.it With best regards, Giorgio Valentini -- ==================================================== Giorgio Valentini Dip. Informatica - Universita' degli Studi di Milano Phone: +39 (02) 503.16225 e-mail:valentini at di.unimi.it http://homes.di.unimi.it/valentini Anacleto Lab - Comp. Biology and Bioinformatics http://anacletolab.di.unimi.it ==================================================== I am Italian, but I have nothing to do with fascists, sovereigns and populists -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Mon Oct 17 06:49:54 2022 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Mon, 17 Oct 2022 10:49:54 +0000 Subject: Connectionists: Closing Soon: Postdoc (3 years) in computational neuroscience/machine learning at the University of Nottingham (UK) [Fixed link] In-Reply-To: References: Message-ID: [Apologies! posting again with fixed link to the job application portal] The Humphries? lab at the University of Nottingham is seeking a postdoc to join a project developing a precision medicine platform for neuromodulation, in collaboration with MachineMedicine Technologies and St George?s Hospital, London. A crucial unmet need in the management of Parkinson?s disease is how to reliably identify patients that would benefit from deep brain stimulation, the most effective treatment for Parkinson?s. The project team will create a machine-learning platform that synthesises wide-ranging personal and clinical data, combined with neural modelling, to predict the suitability of each Parkinson?s disease patient for deep brain stimulation. An exciting opportunity for the pipeline will be integrating computational models of the neural circuits disrupted in Parkinson?s. The Humphries? lab researches fundamental insights into how the joint activity of neurons encodes actions in the world and is disrupted in movement disorders (https://www.humphries-lab.org). The post is for 3 years, full-time. Nottingham University welcomes researchers from around the globe. As part of this support, the university will provide financial support to the post-holder for all visa costs. For queries please contact Professor Mark Humphries, mark.humphries at nottingham.ac.uk. For full details of the role and how to apply https://jobs.nottingham.ac.uk/vacancy.aspx?ref=SCI437522 Closing data: October 26th 2022 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 nagai.yukie at mail.u-tokyo.ac.jp Mon Oct 17 07:22:17 2022 From: nagai.yukie at mail.u-tokyo.ac.jp (nagai.yukie at mail.u-tokyo.ac.jp) Date: Mon, 17 Oct 2022 11:22:17 +0000 Subject: Connectionists: Project Research Associate / Postdoctoral Fellow in computational neuroscience and/or developmental robotics at the University of Tokyo Message-ID: <72F633A2-9B9E-4186-8889-91385B1F7B05@mail.u-tokyo.ac.jp> Dear colleagues, The International Research Center for Neurointelligence (IRCN) at the University of Tokyo is looking for highly motivated full-time Project Research Associate / Postdoctoral Fellow in the field of computational neuroscience and/or developmental robotics. The selected candidates will join Cognitive Developmental Robotics Laboratory head by Prof. Yukie Nagai and investigate the underlying mechanisms of human cognitive development and disorders by means of computational approaches. Please send the required documents if you are interested in being considered. Project Research Associate / Postdoctoral Fellow at IRCN, the University of Tokyo https://ircn.jp/wp-content/uploads/2021/12/20211220_IRCN_Nagai_lab_2EN.pdf Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp ---------- 1. Job title / Number of positions Project Research Associate or Project Researcher (Postdoctoral Fellow) / Two or thee 2. Employment period Starting Date: Negotiable Contract duration: until March 31, 2023 3. Renewable The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract duration is until March 31, 2026. 4. Place of work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Description Successful applicants will work in the fields of computational neuroscience, cognitive developmental robotics, machine learning, and relevant topics. They will investigate the principle of human cognitive development and disorders by modeling computational neural networks inspired by the human brain and/or analyzing human cognitive behaviors. Please see the lab homepage (https://developmental-robotics.jp/en/) for more details. 6. Salary and benefits Salary: To be determined in accordance with the University of Tokyo Regulations Commuter allowance: JPY55,000 per month at maximum No retirement benefits or bonuses 7. Qualifications - PhD in engineering, computer science, cognitive science, neuroscience, or relevant fields - Communication skills in English - Programming skills - Experiences in computational neuroscience and/or cognitive developmental robotics are preferred 8. Application documents (1) Cover letter (A4 1 page) (2) Curriculum vita (3) Publication list (4) Research plan (A4 2-3 pages) (5) Name, affiliation, and email address of two references, one of which should be a previous employer or supervisor 9. Submission Please send the application documents (PDF) to yukie at ircn.jp 10. Application deadline / Selection process When the position is filled All applications will be screened, and only those qualified will be scheduled for an interview (on-site or online). 11. Inquiries Please contact Prof. Yukie Nagai at IRCN, the University of Tokyo yukie at ircn.jp ? Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie at mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org From cactus-internship at tuebingen.mpg.de Mon Oct 17 10:01:20 2022 From: cactus-internship at tuebingen.mpg.de (Helena Dalmau Felderhoff) Date: Mon, 17 Oct 2022 16:01:20 +0200 Subject: Connectionists: Paid Research Internships in AI and Brain Research (CaCTuS) Message-ID: <022a01d8e230$f1f54400$d5dfcc00$@tuebingen.mpg.de> -- 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 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 2023. Successful applicants will work with top-level scientists on research projects spanning machine learning, electrical engineering, theoretical neuroscience, behavioral experiments 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 2022 Social Media Links Twitter: https://twitter.com/MPICybernetics/status/1581941564699336704 Facebook: https://www.facebook.com/MPICybernetics/photos/a.1701083666787308/3433401663 555491 Instagram: https://www.instagram.com/p/Cjz1mpssJjm/ LinkedIn: https://www.linkedin.com/feed/update/urn:li:activity:6987707261393502208 ************************************************ 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.pdf Type: application/pdf Size: 256702 bytes Desc: not available URL: From tanya.brown at ae.mpg.de Mon Oct 17 11:24:16 2022 From: tanya.brown at ae.mpg.de (Brown, Tanya) Date: Mon, 17 Oct 2022 15:24:16 +0000 Subject: Connectionists: Mindvoyage | Carl F Craver on Nov 3rd @ 16:00 CET Message-ID: <172d51f0d8a348bb910ad22406520064@ae.mpg.de> [Inline image OWAPstImg400009] 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, featuring Carl F Craver on Thursday Nov 3 @ 16:00 CET This talk will take place on zoom All are welcome to join this free talk, but registration is required. REGISTER HERE [Inline image OWAPstImg855956] Abstract Following the outline of a recent paper with Jolien Fracken and Marc Slors, I lay out three interlocking problem for any effort to appeal to neural mechanism as the grounds for important decisions about a) the ontology of cognitive science, b) the justification of experimental operationalizations in cognitive science. That is, I argue we should jettison any simplistic idea that we can read the ontology of higher levels off the mechanistic structure of the world. To drive this point home, I close by considering the two lives of episodic memory: one life as a computational cognitive operation definable in terms of its computation and algorithm, and the other life as an epistemic achievement. I argue that any putative reduction relation among these is guilty of a category mistake, but that both are nonetheless legitimate ways of carving the human mind for different intellectual purposes. We should learn to live with that disconnect between the taxonomies we need to understand minds and the taxonomies we need to understand how they are implemented in brain mechanisms. FOR MORE INFORMATION https://www.arc-cogitate.com/events/mindvoyage-carl-craver REGISTRATION LINK https://us06web.zoom.us/webinar/register/WN_Y2gkTJszQ-iDzs05hiP9fQ Hosted by Lucia Melloni and Tanya Brown from the Max Planck Institute for Empirical Aesthetics, on behalf of the ARC-COGITATE Consortium [Inline image OWAPstImg654048] ____________ Please note, that I am out-of-office with intermittent access to email Oct 10 - 25th, 2022. I will do my best to reply to your email in the interim. My working hours may not be yours, respond in your own time Tanya Brown Scientific Coordinator | 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... 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Name: OutlookEmoji-1622818538171acaf85ac-a2bc-4d5c-aeb2-76e1572c733f.png Type: image/png Size: 19053 bytes Desc: OutlookEmoji-1622818538171acaf85ac-a2bc-4d5c-aeb2-76e1572c733f.png URL: From antona at alleninstitute.org Tue Oct 18 01:09:55 2022 From: antona at alleninstitute.org (Anton Arkhipov) Date: Tue, 18 Oct 2022 05:09:55 +0000 Subject: Connectionists: Survey of user experiences in neuronal network modeling Message-ID: <93D54BC4-B6A6-41A6-8883-92C9CFCB0D29@alleninstitute.org> Dear Colleagues, Our NIH BRAIN Initiative-sponsored project (1U24NS124001) ? a collaboration between teams at the Allen Institute and University of Illinois ? focuses on disseminating tools for neuronal network modeling and supporting users. Would you be so kind to help us understand the needs and experiences of users in this field? We will very much appreciate it if you can fill out this brief survey: https://forms.gle/jFw6hFhY9dyDd25w5 It will take only 5 minutes, and the results will help guide future development of software and documentation for the community. Whether you use our tools or not, an expert or novice in modeling, we?d love to hear from you! Thank you so much. If you have any questions, please feel free to reach out by email. Best regards, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona at alleninstitute.org [Text Description automatically generated] alleninstitute.org brain-map.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 26603 bytes Desc: image001.png URL: From ksharma.raj at gmail.com Mon Oct 17 10:48:31 2022 From: ksharma.raj at gmail.com (Raj Sharma) Date: Mon, 17 Oct 2022 20:18:31 +0530 Subject: Connectionists: Call for Participation: 24th ACM International Conference on Multimodal Interaction (7-11 Nov 2022) Message-ID: *apologies if you have received multiple copies of this email ********************************************************************* ICMI 2022 24th ACM International Conference on Multimodal Interaction https://icmi.acm.org/2022/ 7-11 Nov 2022 | The Oterra, Bengaluru, India ********************************************************************* The 24th International Conference on Multimodal Interaction (ICMI 2022) will be held in Bengaluru, India. ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The conference focuses on theoretical and empirical foundations, component technologies, and combined multimodal processing techniques that define the field of multimodal interaction analysis, interface design, and system development. ICMI 2022 will be held as a hybrid conference with presentations occurring both in-person and virtually online. We hope to welcome many of you here to the IT capital of India, but are excited to make the conference accessible to those of you who cannot make the trip. Highlights of the conference *Keynote Speakers* - "What is Multimodal?"* Louis-Philippe Morency, (*Carnegie Mellon University) - "The Future of the Body in Tomorrow?s Workplace" *Justine Cassell (*Carnegie Mellon University and Inria Paris) - "Real Talk, Real Listening, Real Change" *Deb Roy* (MIT) - "Focus on People: Five Questions from Human-Centered Computing" *Daniel Gatica-Perez* (Idiap Research Institute and EPFL) Visit here for more details on the keynote talks. *Workshops* 1. Workshop on Multimodal Affect and Aesthetic Experience 2. The GENEA Workshop 2022: The 3rd Workshop on Generation and Evaluation of Non-verbal Behaviour for Embodied Agents 3. 2nd International Workshop on Deep Video Understanding 4. MSECP-Wild: The 4th Workshop on Modeling Socio-Emotional and Cognitive Processes from Multimodal Data In-the-Wild 5. 3rd Workshop on Social Affective Multimodal Interaction for Health (SAMIH) 6. 3rd Workshop on Bridging Social Sciences and AI for Understanding Child Behavior *Tutorial* - Open-Task Multimodal Conversational Assistants. For details visit here . *Conference Program*Technical program of the conference program can be accessed here . A detailed program will be posted soon. *Accepted Papers* View the list of accepted papers in the conference here *Registration*ICMI is open for registrations for both in-person and virtual attendance here *Conference Venue* The Oterra 43, Velankani Tech Park, Hosur Rd, Electronics City Phase 1, Electronic City, Bengaluru, Karnataka 560100 https://www.theoterra.com/ *Sponsors* - Platinum ? Openstream.ai , Tetrasoft - Gold ? IIIT Bangalore , Mphasis - Silver ? Reality Labs Research, Bobble AI - Bronze ? Computing Community Consortium -------------- next part -------------- An HTML attachment was scrubbed... URL: From sara.magliacane at gmail.com Tue Oct 18 05:56:40 2022 From: sara.magliacane at gmail.com (Sara Magliacane) Date: Tue, 18 Oct 2022 11:56:40 +0200 Subject: Connectionists: [Reminder] [CFP] Conference on Causal Learning and Reasoning (CLeaR 2023) - deadline: Oct 28 Message-ID: *Reminder: *10 days to submission deadline (Oct 28 11:59pm AoE) We invite submissions to the *2nd Conference on Causal Learning and Reasoning* (CLeaR 2023, https://www.cclear.cc/2023), and welcome paper submissions that describe new theory, methodology, and/or applications relevant to any aspect of causal learning and reasoning in the fields of artificial intelligence and statistics. Accepted papers will be published in the Proceedings of Machine Learning Research (PMLR). Key datesThe planned dates are as follows: - Paper submission deadline: Oct 28, 2022 11:59pm (Anywhere on Earth, AoE) - Reviews released: Dec 2, 2022 - Author rebuttals due: Dec 9, 2022 11:59pm (AoE) - Final decisions: Jan 12, 2023 - Camera-ready deadline: Feb 20, 2023 11:59pm (AoE) - Conference dates: Apr 11-14, 2023 - Format: Hybrid with both virtual and physical attendance. Submit at https://openreview.net/group?id=cclear.cc/CLeaR/2023/Conference. Summary Causality is a fundamental notion in science and engineering. In the past few decades, some of the most influential developments in the study of causal discovery, causal inference, and the causal treatment of machine learning have resulted from cross-disciplinary efforts. In particular, a number of machine learning and statistical analysis techniques have been developed to tackle classical causal discovery and inference problems. On the other hand, the causal view has been shown to facilitate formulating, understanding, and tackling a broad range of problems, including domain generalization, robustness, trustworthiness, and fairness across machine learning, reinforcement learning, and statistics. We invite papers that describe new theory, methodology and/or applications relevant to any aspect of causal learning and reasoning in the fields of artificial intelligence and statistics. Submitted papers will be evaluated based on their novelty, technical quality, and potential impact. Experimental methods and results are expected to be reproducible, and authors are strongly encouraged to make code and data available. We also encourage submissions of proof-of-concept research that puts forward novel ideas and demonstrates potential for addressing problems at the intersection of causality and machine learning. Paper Submission The proceedings track is the standard CLeaR paper submission track. Papers will be selected via a rigorous double-blind peer-review process. All accepted papers will be presented at the Conference as contributed talks or as posters and will be published in the Proceedings. Topics of submission may include, but are not limited to: - Machine learning building on causal principles - Causal discovery in complex environments - Efficient causal discovery in large-scale datasets - Causal effect identification and estimation - Causal generative models for machine learning - Unsupervised and semi-supervised deep learning connected to causality - Machine learning with heterogeneous data sources - Benchmark for causal discovery and causal reasoning - Reinforcement learning - Fairness, accountability, transparency, explainability, trustworthiness, and recourse - Applications of any of the above to real-world problems - Foundational theories of causation Physical Attendance The CLeaR 2023 organizing committee prioritizes the safety and health of our community. We are still considering the format of the CLeaR 2023 conference. It will be preferably held as a hybrid conference with no mandatory physical attendance, but we also keep a backup plan of making the conference virtual in case of new pandemic situations. After our final decision, we will announce the format of the conference on the website. Thank you for your patience and understanding. Formatting and Supplementary Material Submissions are limited to 12 single-column PMLR-formatted pages, plus unlimited additional pages for references and appendices. Authors of accepted papers will have the option of opting out of the proceedings in favor of a 1-page extended abstract, which will point to an open access archival version of the full paper reviewed for CLeaR. You can also submit a single file of additional supplementary material separately, which may be either a pdf file (containing proof details, for instance) or a zip file that can include multiple files of all formats (such as code or videos). Note that reviewers are under no obligation to examine the supplementary material. Please format the paper using the official LaTeX style files . We do not support submission in formats other than LaTeX. Please do not modify the layout given by the style file. Submissions will be through OpenReview ( https://openreview.net/group?id=cclear.cc/CLeaR/2023/Conference) and will be open approximately 4-6 weeks before the paper submission deadline. Anonymization Requirements The CLeaR review process is double-blind: reviewers and authors will both stay anonymous to each other during the review process. We use OpenReview to host papers; however, public discussions are not allowed during the review process. The review comments are only visible to program chairs, area chairs, and reviewers with submitted review comments. Papers will be desk-rejected if they contain any information that can violate the double-blind reviewing policy, such as the author names or their affiliations, acknowledgements, or links that can infer any author?s identity or institution. Self-citations are allowed as long as anonymity is preserved. It is up to the author?s discretion how best to preserve anonymity when including self-citations. Possibilities include: leaving out a self-citation, including it but replacing the citation text with ?removed for anonymous submission,? or leaving the citation as-is. We recommend leaving in a moderate number of self-citations for published or otherwise well-known work. Revisions are allowed in the submission system until the paper submission deadline. Changes will not be allowed afterwards. We strongly discourage advertising the preprint on social media or in the press while under submission to CLeaR. Preprints must not be explicitly identified as an CLeaR submission at any time during the review period (i.e., from the abstract submission deadline until the notification of the accept/reject decision). Dual Submissions CLeaR does not allow double submissions. Namely, submissions should not have been previously published in or submitted to a journal or the proceedings of another conference at any point during the CLeaR review process. Submissions to workshops or other non-archival venues (without a proceedings) will not be considered as dual submissions. Submissions as extended abstracts with 5 pages or less will not be considered a concurrent submission either. Authors may submit anonymized work to CLeaR that is already available as a preprint (e.g., on arXiv) without citing it. Tech reports (including reports on sites such as arXiv) do not count as prior publication. It is acceptable to have a substantially extended version of the submitted paper under consideration simultaneously for journal publication, so long as the journal version?s planned publication date is after our publication (April 13, 2023, tentatively), and it does not violate the journal's policy, the journal submission does not interfere with CLeaR right to publish the paper, and the situation is clearly described at the time of CLeaR submission. Please describe the situation in the appropriate box on the submission page (and do not include author information in the submission itself, to avoid accidental unblinding). Authors are also allowed to give talks to restricted audiences on the work(s) submitted to CLeaR during the review. All accepted papers will be presented at the Conference either as contributed talks or as posters, and will be published in the CLeaR Conference Proceedings in the Journal of Machine Learning Research Workshop and Conference Proceedings series. Papers for talks and posters will be treated equally in publication. Confidentiality The reviewers and area-chairs will have access to papers and supplementary materials that are assigned to them. The program chairs and workflow chairs will have access to all the papers. Everyone having access to papers and supplementary materials will be instructed to keep them confidential during the review process and delete them after the final decisions. Reviews will be visible to area chairs, program chairs, and workflow chairs throughout the process. At any stage of the process, author names will not be known to the reviewers or area chairs, but only visible to program chairs. Reviewer names are visible to the area chair (and program chairs), but the reviewers will not know names of other reviewers. Mihaela van der Shaar, Cheng Zhang & Dominik Janzing CLeaR 2023 Program Chairs Francesco Locatello & Peter Spirtes CLeaR 2023 General Chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From timvogels at gmail.com Tue Oct 18 04:26:35 2022 From: timvogels at gmail.com (Tim Vogels) Date: Tue, 18 Oct 2022 10:26:35 +0200 Subject: Connectionists: Imbizo Deadline approaching fast----> Apply NOW/ Message-ID: <6B33A9AA-ABD8-4631-A36A-33893F93B0C4@gmail.com> Dear all, The DEADLINE for the next IMBIZO is approaching very quickly. Don?t let this opportunity slip by if you are hoping to join the most diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from an extraordinary computational neuroscience summer school, please distribute this information as widely as you can: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #Imbizo2023 12 April - 7 May 2022, Noordhoek Beach, Cape Town, South Africa http://imbizo.africa/ Application deadline: 20th October 2022 The #Imbizo2023 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this four-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. New this year is a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Essential details * Fee (which covers tuition, lodging, and meals): 1200 EUR Thanks to our generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particularly for African applicants. We also hope to provide some travel bursaries for international students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. The Imbizo is planned to be hosted in person, with everyone following our COVID policy . If it is unsafe to hold the summer school, we will follow up with further information at the appropriate time. * Application deadline: 20th October 2022 * Notification of results: Early December 2022 Information and application https://imbizo.africa/ Questions? isicn.imbizo at gmail.com What is an Imbizo? \?m?bi?z?\ | Xhosa - Zulu A gathering of the people to share knowledge. Incl. FACULTY such as... Demba Ba - Harvard University Adrienne Fairhall - Washington University Aza Allsop - Yale University David Sussillo - Google Leyla Isik - Johns Hopkins University Peter Latham - University College London Timothy Lillicrap - DeepMind Joseph Raimondo - University of Cape Town Mackenzie Mathis - EPFL Lausanne Evan Schaffer - Columbia University Henning Sprekeler - Technical University of Berlin Thomas Tagoe - University of Ghana Tim Vogels - Institute of Science and Technology Austria Blake Richards - McGill University Xaq Pitkow - Baylor College of Medicine Bianca Jones Marlin - Columbia University TUTORS Mohamed Abdelhack - Krembil Centre for Neuroinformatics Annik Carson - AI Redefined Spiros Chavlis - IMBB-FORTH Christopher Currin - Institute of Science and Technology Austria Nina Kudryashova- University of Edinburgh Marjorie Xie - Columbia University ORGANISERS Demba Ba (Harvard University) Christopher Currin (Institute of Science and Technology Austria) Peter Latham (Gatsby Unit for Computational Neuroscience) Joseph Raimondo (University of Cape Town) Emma Vaughan (Imbizo Logistics) Tim Vogels (Institute of Science and Technology Austria) Sponsors The Imbizo is made possible by the generous support from the Simons Foundation and the International Brain Research Organisation (IBRO) Organizational Affiliates University of Cape Town, University College London, Institute of Science and Technology Austria, TReND in Africa , Neuroscience Institute , Gatsby Foundation , IBRO African Center for Advanced Training in Neurosciences at UCT -------------- next part -------------- An HTML attachment was scrubbed... URL: From rava at ens.fr Tue Oct 18 05:09:00 2022 From: rava at ens.fr (Rava A. da Silveira) Date: Tue, 18 Oct 2022 11:09:00 +0200 Subject: Connectionists: PhD openings in computational neuroscience, cognitive science, machine learning Message-ID: *PhD openings in computational neuroscience, cognitive science, and interfaces with machine learning* The lab of Rava Azeredo da Silveira invites applications for *Doctoral Student* positions at IOB, University of Basel. Research questions will be chosen from a range of topics in theoretical/computational neuroscience and cognitive science, involving either data analysis or theory, and drawing on recent machine learning approaches. Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. The positions will come with highly competitive work conditions and salaries. For details, see https://www.silveira-lab.com/openings. *Application deadline:* For full consideration, please apply by 15 November 2020. *How to apply:* Please send the following information *in one single PDF, to * *silveira at iob.ch* *:* 1. letter of motivation; 2. statement of research interests, limited to two pages; 3. curriculum vit?. In all email correspondence, please include the mention ?APPLICATION-PHD? in the subject header, otherwise the application will *not* be considered. Please also arrange for three letters of recommendations to be sent to the same email address. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Oct 18 03:26:43 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 18 Oct 2022 10:26:43 +0300 Subject: Connectionists: Six fully funded PhD candidate or predoc research positions on "Machine Learning and Computer Vision" and the "International Artificial Intelligence Doctoral Academy (AIDA)" in AIIA Lab, Aristotle University of Thessaloniki, Greece. Message-ID: <078d01d8e2c2$f95bdeb0$ec139c10$@csd.auth.gr> The Artificial Intelligence and Information Analysis Laboratory (AIIA Lab, AIIA.CVML R&D group) of the School of Informatics, Aristotle University of Thessaloniki, Greece (AUTH) has six open PhD candidate or predoc research positions. Applicants may become PhD candidates or just do R&D work. The interested applicant must have strong theoretical and/or applied background in machine learning and computer vision, with an emphasis on deep learning. Potential (not exclusive) application domains include robotics/autonomous systems and digital media. Research topics: * Extreme visual and social media data analytics for natural disasters (TEMA) * Visual drone-based industrial pipeline inspection (SIMAR) * Deep digital media analysis (AI4Media) * New decentralized deep learning methods (AI4Media) * Fast embedded drone visual analysis (TEMA, AerialCore) * Support International Artificial Intelligence Doctoral Academy ( AIDA, AI4Europe) The director of the AIIA Lab is Prof. Ioannis Pitas, who is also the chair of the International Artificial Intelligence Doctoral Academy (AIDA, from the AI4Media project). Thessaloniki is a large port city with very low living costs and easy access to many local tourist attractions, while AUTH is the largest university in SE Europe. Links: International Artificial Intelligence Doctoral Academy (AIDA) AI4Media EU/Horizon 2020 Project (2019-2023) Horizon Europe projects that just started or are expected to start soon: TEMA Horizon 2022 Project (2022-2026) AI4Europe Horizon 2022 Project (2022-2025) SIMAR Horizon 2022 Project (2022-2025) What we offer - Competitive EU-level remuneration package and guaranteed funding for a minimum of 24 months, which can be extended to cover the entire PhD duration. - Opportunities to develop research and programming skills and mentor M.Sc. students. - International collaborations with many top universities/research centers/industries. Candidate profile 1. MSc degree (or any 4-5 year degree) in Computer Science or Electrical/Computer Engineering. 2. Good programming (C++, Python) and theoretical/math skills. 3. Specialization or coursework in machine learning and/or computer vision are desirable. 4. Any publications in international journals or conferences are desirable. 5. Good English writing skills. * Applications of persons who are expected to finish their studies in the very near future are welcomed. Application The interested candidate must send an e-mail to Prof. Ioannis Pitas pitas at csd.auth.gr , until 11/11/2022, with the following attachments: - Curriculum vitae, - Publication list (if any) Names of person to provide recommendation letters are welcomed. Ioannis Pitas pitas at csd.auth.gr https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Oct 18 03:11:38 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 18 Oct 2022 10:11:38 +0300 Subject: Connectionists: Three fully funded postdoctoral research positions on "Machine Learning and Computer Vision" and the "International Artificial Intelligence Doctoral Academy (AIDA)" in AIIA Lab, Aristotle University of Thessaloniki, Greece. Message-ID: <04d201d8e2c0$dde091f0$99a1b5d0$@csd.auth.gr> Three fully funded postdoctoral research positions on "Machine Learning and Computer Vision" and the "International Artificial Intelligence Doctoral Academy (AIDA)" in AIIA Lab, Aristotle University of Thessaloniki, Greece. The Artificial Intelligence and Information Analysis Laboratory (AIIA Lab, AIIA.CVML R&D group) of the School of Informatics, Aristotle University of Thessaloniki, Greece (AUTH) has three open postdoctoral research positions. The interested applicant must have strong theoretical and/or applied background in machine learning and computer vision, with an emphasis on deep learning. Potential (not exclusive) application domains include robotics/autonomous systems and digital media. Research topics: * Extreme visual and social media data analytics for natural disasters (TEMA) * Visual drone-based industrial pipeline inspection (SIMAR) * Deep digital media analysis (AI4Media) * New decentralized deep learning methods (AI4Media) * Fast embedded drone visual analysis (TEMA, AerialCore) * Support International Artificial Intelligence Doctoral Academy ( AIDA, AI4Europe) The director of the AIIA Lab is Prof. Ioannis Pitas, who is also the chair of the International Artificial Intelligence Doctoral Academy (AIDA, from the AI4Media project). Thessaloniki is a large port city with very low living costs and easy access to many local tourist attractions, while AUTH is the largest university in SE Europe. Links: International Artificial Intelligence Doctoral Academy (AIDA) AI4Media EU/Horizon 2020 Project (2019-2023) Horizon Europe projects that just started or are expected to start soon: TEMA Horizon 2022 Project (2022-2026) AI4Europe Horizon 2022 Project (2022-2025) SIMAR Horizon 2022 Project (2022-2025) What we offer - Competitive EU-level remuneration package and guaranteed funding for a minimum of 24 months. - Opportunities to develop skills and mentor M.Sc./Ph.D. students. - International collaborations with many top universities/research centers/industries. Candidate profile 1) PhD degree* in machine learning and/or computer vision. 2) Strong publication record in well-known international journals and conferences. 3) Previous professional experience with international collaborative research projects (e.g., Horizon 2020/Horizon Europe) is desirable. 4) Good English writing skills. * Applicants who are expected to defend their dissertation in the very near future are welcomed. Application The interested candidate must send an e-mail to Prof. Ioannis Pitas pitas at csd.auth.gr , until 11/11/2022, with the following attachments: - Curriculum vitae, - Publications list Names of person to provide recommendation letters are welcomed. Ioannis Pitas pitas at csd.auth.gr https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en -------------- next part -------------- An HTML attachment was scrubbed... URL: From rava at ens.fr Tue Oct 18 05:07:56 2022 From: rava at ens.fr (Rava A. da Silveira) Date: Tue, 18 Oct 2022 11:07:56 +0200 Subject: Connectionists: Postdoc openings in computational neuroscience, cognitive science, machine learning Message-ID: *Postdoctoral openings in computational neuroscience, cognitive science, and interfaces with machine learning* The lab of Rava Azeredo da Silveira invites applications for *Postdoctoral Researcher* positions at IOB, University of Basel. Research questions will be chosen from a range of topics in theoretical/computational neuroscience and cognitive science, involving either data analysis or theory, and drawing on recent machine learning approaches. Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. The positions will come with highly competitive work conditions and salaries. For details, see https://www.silveira-lab.com/openings. *Application deadline:* For full consideration, please apply by 15 November 2020. *How to apply:* Please send the following information *in one single PDF, to * *silveira at iob.ch* *:* 1. letter of motivation; 2. statement of research interests, limited to two pages; 3. curriculum vit? including a list of publications; 4. any relevant publications that you wish to showcase. In all email correspondence, please include the mention ?APPLICATION-POSTDOC? in the subject header, otherwise the application will *not* be considered. Please also arrange for three letters of recommendations to be sent to the same email address. -------------- next part -------------- An HTML attachment was scrubbed... URL: From rbianchi at fei.edu.br Tue Oct 18 07:36:27 2022 From: rbianchi at fei.edu.br (Reinaldo A. C. Bianchi) Date: Tue, 18 Oct 2022 11:36:27 +0000 Subject: Connectionists: CFP - RoboCup 2023 Humanoid Soccer Competition Message-ID: * Call for Participation * RoboCup 2023 Humanoid Soccer Competition https://humanoid.robocup.org/ July 06 - 09, 2023, Bordeaux, France =========================================================== The RoboCup Humanoid League invites teams to apply for participation at the RoboCup 2023 Humanoid Soccer Competition and the Humanoid Research Demonstration in Bordeaux, France. The Humanoid League will host competitions in the following categories: * Humanoid Soccer Competition * KidSize: 40 - 100cm robot height (FIFA size 1 ball) * AdultSize: 100 - 200cm robot height (FIFA size 5 ball) * Humanoid Research Demonstration In addition, we may organize a Humanoid Open Competition with a CfP following later this year. For more detailed class definitions and more information about the humanoid league, please refer to the humanoid league home page at https://humanoid.robocup.org/ and join the humanoid league mailing list at: https://lists.robocup.org/listinfo/robocup-humanoid Teams are also encouraged to form and apply as joint teams. Joint proposals will be judged on their combined merit. Teams must provide the following qualification material: 1) Humanoid Soccer Competition ======================================= You do not need to provide a full robot team to apply for competing in the Humanoid Soccer Competition. The qualifying round of Drop-In games will be played with only one robot per team. Teams that cannot provide a full team of robots (four robots in KidSize and two in AdultSize) will be grouped to form a playable team for the main tournament games. In case of a sufficient number of qualified teams, the sub-leagues (KidSize and/or AdultSize) will be divided into League A and League B. Teams are seeded into the leagues based on the results of an initial round of Drop-In games. Each application to the Humanoid Soccer Competition will be reviewed by two members of the Technical Committee and two other teams applying to the Humanoid Soccer Competition. The combined reviewing score will decide whether a team qualifies for participation. Reviewing other team's material is mandatory for teams that want to participate in the Humanoid Soccer Competition. Failing to provide an adequate review by the provided deadline will have consequences for the teams own qualification status. 1.1) Robot Video --------------------------------------- Teams need to provide a video of their robot demonstrating the robots' autonomous soccer playing skills. The recommended skills needed for qualification are: * localization of unknown ball position, * walking ability towards the ball, * robot positioning at the ball for kicking, * kicking the ball towards the goal, * ability of getting up autonomously from a fall (KidSize only) We encourage teams to include in the video more complex and intelligent behavior such as demonstrating localization, and robots playing in a game, recordings from actual soccer matches are admissible. If possible, please provide footage that demonstrates the robot behavior without wires attached. The qualification video must be supplied as a link via YouTube. The maximum duration of the video must not exceed 5 minutes. The qualifying team is responsible to ensure that the video adheres to YouTube's TOS (especially in regard to music copyright) to prevent the video from being blocked for the reviewers. Teams that do not provide a qualification video or a viewable video will not be qualified! 1.2) Software Description --------------------------------------- During the registration process, a form will be provided to submit details about the algorithms used or anticipated to be used for the participation in the 2023 competition. Algorithms shall be described in such detail that they can be reproduced by other teams. If software from other teams or standard algorithms are used, references need to be included. If the algorithm has been adapted to be used in the competition, those deviations need to be described in appropriate details. The form will include questions in the following areas: * Walking * Vision * Localization * Team Communication * Behavior * Contributions to the RoboCup community, e.g. software releases, paper publications, provision of league infrastructure or data sets Responses to the questions are expected to reflect the current or anticipated status of the software during the RoboCup 2023 competition. If the software has not changed or no changes are anticipated to be made until the competition, teams may copy & paste a response from previously submitted material. 1.3) Extended Abstract --------------------------------------- A two-page extended abstract must be submitted. For teams which have previously participated in the Humanoid League, the extended abstract needs to: * include lessons learned from the participation in previous RoboCup competitions * highlight major problems that the team is trying to solve for the upcoming competition * outline the plans for the major changes that the teams anticipate to have implemented by the RoboCup 2023 competition * describe the implementation status of the changes planned by the time of submitting the application For teams which have never participated in the RoboCup Humanoid League, the Extended Abstract needs to pitch the scientific aspects of their humanoid robotic system and highlight their research interests. The Extended Abstract is limited to 2 pages maximum and must be submitted in PDF format. Extended Abstracts are designed to highlight the changes and scientific developments since the last RoboCup. Thus, we expect the usage of material from previous TDPs or Extended Abstracts to be minimal. If used, they need to be cited appropriately. Submissions of last year's Extended Abstract will be desk-rejected. The Extended Abstract must follow the LNCS format which can be downloaded from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Teams that do to follow the LNCS formatting and style guidelines will not be qualified. No exceptions to this rule will be made. 1.4) Robot Specification --------------------------------------- Regardless of the kid or adult size competition, a one-page specification (PDF) must be provided for each different type of humanoid robot used by the team that includes the following: * Robot picture * Robot name * Height of the robot * Weight of the robot * Walking speed in cm/s * Number of degrees of freedom and type of motors on each kinematic chain of the robot * Type of sensors used (incl. type of camera(s) and specific manufacturer part number (e.g. ?6-DoF IMU? is NOT an acceptable description)) * Computing unit(s) * Materials (e.g. Torso aluminum, legs and arms CFRP) * Electronics (e.g. CM730 for communicating with servos) * Battery (e.g. 3S1P 2200mAh LiPo) * Open Source link if applicable * Other specs 1.5) Rules --------------------------------------- The current version of the rules may be found here at the Humanoid League website: https://humanoid.robocup.org/materials/rules/. We expect the final version of the 2023 rules to be published in early spring 2023. 1.6) Registration --------------------------------------- The following information is required for registration: * Team name * URL of the team's home page * Name of team leader or team contact person * E-mail address of team leader or contact person * Postal address of the team, team leader or contact person * Competition category: Humanoid Soccer Competition KidSize or AdultSize Please note that teams applying for participation in several categories must submit individual application material for each class, and pay the appropriate registration fee for each category. At least one team member must register on each team. Furthermore, teams in different categories must be able to compete, and guarantee to have members acting as referees available independently and at the same time. 1.7) Letter of Commitment --------------------------------------- Regardless of the specific competition, a one-page letter addressed to the RoboCup Humanoid League Technical Committee including the following: * a statement committing to participate in the RoboCup 2023 Humanoid League competition, * a statement committing to make a person with sufficient knowledge of the rules available as referee during the competition. The letter must be printed, hand signed by the team leader, digitally scanned and submitted either as a JPG, PNG or PDF file. If the letter does not contain a hand-written signature, it is not considered valid. The TC may include the fulfillment of the statement of commitment of participation as well as the performance of the team's referee in previous RoboCup competitions into consideration for qualification. 2. Humanoid Research Demonstration (HRD) ======================================= The RoboCup Humanoid League invites the research community to apply for showcasing the latest research and development results that are relevant for humanoid robots. Researchers are invited to submit their demonstrations independently of whether they participate in the RoboCup competitions, symposium or have a RoboCup team. Contributions will be evaluated for scientific and technical excellence. 2.1. Topics of Interest --------------------------------------- We welcome demonstrations containing new ideas, concepts, practical studies, and experiment demonstrations relevant to the field of Humanoid Robotics. Topics of interest include, but are not limited to: * Components, joints and mechanics; * Soft robotics; * Anthropomorphic vs. non-anthropomorphic; * Walking, running, jumping and other humanoid locomotion; * Adaptability and scalability; * Sensors and perception; * Control and stability; * Dealing with falling; * Reflexes and learning; * Energy supply and efficiency; * Robot design and robotic kits; * Virtual robots and simulation; * Benchmarking; * Bipedal robots applied to real problems; * Education with and for humanoid robots. 2.2. Procedure --------------------------------------- The Humanoid Research Demonstration will take place in one or several sessions and participating teams are asked to show a demonstration of the system live in Bordeaux or stream their demonstration from their lab during the session. As a back-up solution, each team needs to provide a video demonstration prior to the beginning of the tournament. If the demonstration is performed in Bordeaux, the Humanoid League will provide a humanoid league soccer playing field for the demonstration. However, the members of the Technical Committee of the Humanoid League understand that for some demonstrations this setup may not be ideal and will try to accommodate all teams. If a team requires other arrangements for the demonstration, it must submit a request to the Technical Committee at least 3 months before the competition to allow sufficient time for alternative arrangements. 2.3. Application --------------------------------------- We invite teams to apply to participate in the Humanoid Research Demonstration by submitting the following material: 2.3.1. Demonstration Data * Demonstration title; * URL of the group?s home page; * Name of the contact person; * E-mail address of the contact person; * Postal address of the contact person. 2.3.2. Demonstration Video The first part of the material is a video of your robot or robotic part demonstrating its skills or a brief overview of the software demonstration if your demonstration does not involve a physical embodiment. The video must be supplied as a link to it via YouTube. The maximum duration of the video is 3 minutes. The proponent is responsible to ensure that the video adheres to YouTube?s TOS (especially in regard to music copyright) to prevent the video from being blocked for the reviewers. 2.3.3. Hardware Specification If the demonstration includes any type of hardware to be showcased, a one-page specification (PDF) for each different type of humanoid type robot/mechanism used that includes the following: * Robot/mechanism picture; * Robot/mechanism name; * Size of the humanoid type robot/mechanism; * Weight of the robot/mechanism; * Robots/mechanisms joint specification; * Type of sensors used (incl. type of camera(s)); * Computing unit(s); * Other specifications 2.3.4. Short paper A short paper describing the robot, robot part of software and its task and required environment, limited to four (4) pages including text, references, tables, and figures. The short paper must follow the LNCS format which can be downloaded from http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0. Please pay special attention to the ?Author guidelines? that you?ll be able to find there. 3) Plagiarism ======================================= Plagiarism, loosely the unattributed use of other peoples' words, code, and ideas is not tolerated in the RoboCup community. See the point ?Publishing Ethics? at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines for a more detailed description. The teams and team members that plagiarize other peoples' work and present it as their own will be disqualified. For a first offense, the team and team members will be banned from RoboCup competition for two years (usually the current and next year). Harsher penalties will be applied to repeat offenders or extremely serious cases of plagiarism. A team may be disqualified at any time for plagiarism, even after the competition has started. RoboCup will not reimburse teams for any expenses related to their disqualification. 4) Online Submission ======================================= All qualification material must be submitted online at https://submission.robocuphumanoid.com 5) Important Dates ======================================= Humanoid Soccer Competition * Submission system open: November 20th, 2022 * Submission deadline: December 11th, 2022 * Team Review Period: December 12th - December 23rd * Announcement of qualified teams: January 23rd, 2023 Humanoid Research Demonstration * Submission system open: November 20th, 2022 * Submission deadline: April 2nd, 2023 6) Publication ======================================= Please note that after the announcement of the qualified teams the qualified teams submitted material will be made publicly available on the Humanoid League website. Teams applying for participation, therefore, implicitly grant the right of publication of their qualification material to the Humanoid League. 7) Visa Process ======================================= If you are a citizen of a country that needs a Visa for traveling to France, please start the VISA process as soon as you receive your notification of qualification. If you are not sure if you're eligible for a VISA-exempt, please consult the official website of the France government for information, at https://france-visas.gouv.fr/en/web/france-visas/welcome-page. With best regards, Technical Committee of RoboCup Humanoid League 2022 Esta mensagem, juntamente com qualquer outra informa??o anexada, ? confidencial e protegida por lei. Somente os seus destinat?rios est?o autorizados a us?-la. Se voc? n?o for o destinat?rio, por favor, informe o remetente e, em seguida, apague a mensagem, observando que n?o h? autoriza??o para usar, copiar, armazenar, encaminhar, imprimir ou tomar qualquer a??o baseada no seu conte?do. -------------- next part -------------- An HTML attachment was scrubbed... URL: From vincentthunder2011 at gmail.com Tue Oct 18 22:48:33 2022 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Wed, 19 Oct 2022 10:48:33 +0800 Subject: Connectionists: [Social Networks, Deadline Nov. 1] Call for Papers in ICC 2023 Message-ID: *SCOPE AND MOTIVATION* Recently, social network research has advanced rapidly with the prevalence of online social applications and mobile social communications systems. Metaverse has emerged as one of the future Internet for business, socialization, entertainment, and education in fully connected, immersive, and engaging online 3D virtual experiences. Nevertheless, the ongoing pandemic via contact social networks has caused tremendous human life and economic loss around the world, and infodemic is one of the major social impacts that make people difficult to discriminate trustworthy sources, from false and manipulative information sources. Therefore, researchers are increasingly interested in addressing a wide spectrum of challenges in social networks, such as developing social-aware algorithms for communications systems, identifying the topological common structures and information/influence flows, analyzing the social media and evolutions of social graphs, and exploiting location-based and contextual information embedded in mobile social networks to create innovative applications. Due to its increasing prevalence and interdisciplinary nature, social networks have also attracted intensive research interests across multiple disciplines, including artificial intelligence, blockchain, big data analytics, information security and privacy protection, psychology, and marketing. In light of the above crucial needs, Selected Areas in Communication Symposium in Social Networks will serve as a forum for researchers and technologists from academia, industry, and government to discuss the state-of-the-art, present their cutting-edge innovations and contributions, and set future directions in all aspects of social networks. The symposium seeks original contributions in the following topical areas, plus others that are not explicitly listed but are closely related. ?Artificial Intelligence for social networks and applications ?Social network analysis on epidemic diagnosis and asymptomatic infector tracking for COVID-19 and other pandemic ?Convergence and interplay between Metaverse and the underlying communication networks ?Infrastructure, platform, protocol design, and optimization for mobile social networks, social vehicular networks, mobile social clouds, social Internet-of-Things, and new paradigm of future social-aware communication networks ?Social network graph modeling, analysis, measurements, and experiments using big data for a better understanding of social network influence, reputation, recommendation, and community structure ? Data mining, machine learning, information retrieval, signal processing, and artificial intelligence in social media and social contexts ?Trusted networking, privacy and security, user behaviors and dynamics, and digital right management for big data from social networks ? Innovative social networks applications and services to mobile Internet, multimedia networks, mobile commerce, cyber-physical systems, and their potential social, economic, and cultural impacts ? Multidisciplinary and interdisciplinary research on social networks The authors of selected papers from this symposium will be invited to submit an extended version of their work for fast-track review and possible publication in the IEEE Open Journal of the Communications Society *IMPORTANT DATES* Deadline for paper submission: 1 November 2022 Date for notification: 18 January 2023 Deadline for final paper submission: 15 February 2023 *SUBMISSION INSTRUCTIONS* All papers for technical symposium should be submitted via EDAS. Full instructions on how to submit papers are provided on the IEEE ICC 2023 website: https://icc2023.ieee-icc.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hussain.doctor at gmail.com Tue Oct 18 16:11:58 2022 From: hussain.doctor at gmail.com (Amir Hussain) Date: Tue, 18 Oct 2022 21:11:58 +0100 Subject: Connectionists: Postdoctoral Research Fellow vacancy (Closing date: 30th October 2022) Message-ID: Dear all: *** please help circulate - thank you in advance **?*? The UK EPSRC-funded COG-MHEAR research programme (http://cogmhear.org) is recruiting for a *postdoctoral research fellow* based at Edinburgh Napier University in Scotland - please see application details below. COG-MHEAR Research Fellow post (for up to 30 months - closing date: 30th October 2022): https://www.timeshighereducation.com/unijobs/listing/312943/research-fellow-/ https://www.jobs.ac.uk/job/CUE766/research-fellow Kindest regards Amir --- Professor Amir Hussain Programme Director: EPSRC COG-MHEAR (http://cogmhear.org) School of Computing, Engineering & Built Environment, Edinburgh Napier University, Edinburgh EH10 5DT, Scotland, UK E-mail: a.hussain at napier.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Wed Oct 19 02:11:48 2022 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Wed, 19 Oct 2022 08:11:48 +0200 Subject: Connectionists: [CfP] The Ninth International Conference on Software Defined Systems (SDS2022), Paris, France. December 12-15, 2022 Message-ID: <64b74282-a79f-68b5-5902-ee4a8806d015@ai.univ-paris8.fr> [Apologies if you got multiple copies of this invitation] The Ninth International Conference on Software Defined Systems (SDS 2022) https://emergingtechnet.org/SDS2022/index.php Paris, France. December 12-15, 2022 Technically Co-Sponsored by IEEE France Section *SDS 2022 CFP:* Next generation cloud systems will require a paradigm shift in how they are constructed and managed. Conventional control and management platforms are facing considerable challenges regarding flexibility, dependability and security that next generation systems will require. The cloud computing paradigm has gone part of the way towards alleviating some of the problems associated with resource allocation, utilization and managements (e.g., via elasticity). However, many of the elements of a well-designed cloud environment remain ?stiff? and hard to modify and adapt in an integrated fashion. This includes underlying networking topologies, many aspects of the user control over IaaS, PaaS or SaaS layers when such is needed, construction of XaaS services, provenance and meta-data collection, and so on. In many situations the problem may be because service abstraction is inadequate. Software Defined Systems (SDS) are systems that have added software components which help abstract actual IT equipment and other layers. One classical example, of course, are hypervisors. Such separation provides a great opportunity for system administrators to more easily construct and managing their systems through flexible software layers. Software Defined Systems include Software Defined Networking (SDN), Software Defined Storage, Software Defined Servers (Virtualization), Software Defined Datacenters (SDD), Software Defined Security (SDSec), and ultimately Software Defined Clouds (SDCloud) to name a few possibilities. Individual solutions and seamless integration of these abstractions remains in many respects a challenge. After the high success of the previous editions (SDS'2014, SDS'2015, SDS'2016, SDS'2017, SDS'2018, SDS' 2019, SDS' 2020 and SDS' 2021), The Ninth International conference on Software Defined Systems (SDS'2022) will continue to be a forum for scientists, researchers, students, and practitioners to present their latest research results, ideas, and developments in the area of software defined systems ? both components and their integration - and by implication advancement of next generation clouds. SDS 2022 aims to investigate the opportunities and in all aspects of Software Defined Systems. In addition, it seeks for novel contributions that help mitigating SDS challenges. That is, the objective of SDS 2022 is to provide a forum for scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Software Defined Systems. SDS is Technically Co-Sponsored by IEEE Spain Section. Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to: * Software Defined Systems support for Cloud Computing . * Software Defined Networking (SDN). * SDN concepts, architecture, and APIs. * Network Virtualization * SDN and OpenFlow protocol * Software Defined Radio * Cognitive Radio Networks . * Access Control models in SDN. * Software Defined Storage. * Storage Automation and Abstraction. * Policy-driven storage provisioning. * Software Defined Servers and Virtualization. * Software Defined Datacenters. * Software Defined Security o Security policies automation. * Self-management systems. * Autonomic Computing techniques. * Real-time load prediction model to optimize the user satisfaction. * Software Defined Systems Scalability. * Software Defined Systems optimization. * Software tools and frameworks to support SDS . * Software Defined Systems challenges and opportunities * Software Defined Systems surveys . * Social engineering, insider threats system for SDS. * Incident Handling and Penetration Testing with SDS. * Software Defined Systems support if IoT. * Security protocols in SDS. * Security and privacy of mobile SDS based cloud computing * Service-oriented architectures, service portability andP2P * Network virtualization and cloud-based radio access networks *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also, submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the SDS Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *Important Dates* Submission Date: 20 October, 2022 Notification to Authors: 15 November, 2022 Camera Ready Submission: 30 November, 2022 *Contact:* Please send any inquiry on SDS 2022 to the Emerging Tech. Network Team at: emergingtechnetwork at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From leslie.perez at pucv.cl Tue Oct 18 12:51:23 2022 From: leslie.perez at pucv.cl (Leslie Angelica Perez Caceres) Date: Tue, 18 Oct 2022 13:51:23 -0300 Subject: Connectionists: Last Call for Papers: EvoCOP 2023 - The 23nd European Conference on Evolutionary Computation in Combinatorial Optimisation Message-ID: (Apologies for cross-posting) ************************************************************************************* Last Call for Papers: EvoCOP 2023 - The 23nd European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2023/evocop/ April 12 - 14, 2023 held as part of EvoStar (http://www.evostar.org) Venue: Brno, Czech Republic ** EvoCOP is CORE Rank B ** Submission deadline: November 1, 2022 ************************************************************************************* The 23nd European Conference on Evolutionary Computation in Combinatorial Optimisation is a multidisciplinary conference that brings together researchers working on applications and theory of evolutionary computation methods and other metaheuristics for solving difficult combinatorial optimisation problems appearing in various industrial, economic, and scientific domains. Successfully solved problems include, but are not limited to, multi-objective, uncertain, dynamic and stochastic problems in the context of scheduling, timetabling, network design, transportation and distribution, vehicle routing, stringology, graphs, satisfiability, energy optimisation, cutting, packing, planning and search-based software engineering. The EvoCOP 2023 conference will be held somewhere on Earth, together with EuroGP (the 26th European Conference on Genetic Programming), EvoMUSART (the 12th European conference on evolutionary and biologically inspired music, sound, art and design) and EvoApplications (the 26th European Conference on the Applications of Evolutionary Computation), and a special track on Evolutionary Machine Learning in a joint event collectively known as EvoStar (Evo*). Accepted papers will be published by Springer Nature in the Lecture Notes in Computer Science series. (See https://link.springer.com/conference/evocop for previous proceedings.) Download the CFP in PDF format: https://www.evostar.org/2023/wp-content/uploads/2022/07/evo2022-evocop-flyers-prints-05062022-3.pdf The best regular paper presented at EvoCOP 2023 will be distinguished with a Best Paper Award. EvoCOP conference is ranked B in the CORE 2021 ranking: http://portal.core.edu.au/conf-ranks/2195/ **** Areas of Interest and Contributions **** EvoCOP welcomes submissions in all experimental and theoretical aspects of evolutionary computation and other metaheuristics to combinatorial optimisation problems, including (but not limited to) the following areas: * Applications of metaheuristics to combinatorial optimisation problems * Theoretical developments * Neighbourhoods and efficient algorithms for searching them * Variation operators for stochastic search methods * Constraint-handling techniques * Parallelisation and grid computing * Search space and landscape analyses * Comparisons between different (also exact) methods * Automatic algorithm configuration and design Prominent examples of metaheuristics include (but are not limited to): * Evolutionary algorithms * Estimation of distribution algorithms * Swarm intelligence methods such as ant colony and particle swarm optimisation * Artificial immune systems * Local search methods such as simulated annealing, tabu search, variable neighbourhood search, iterated local search, scatter search and path relinking * Hybrid methods such as memetic algorithms * Matheuristics (hybrids of exact and heuristic methods) * Hyper-heuristics and autonomous search * Surrogate-model-based methods Notice that, by tradition, continuous/numerical optimisation is *not* part of the topics of interest of EvoCOP. Interested authors might consider submitting to other EvoStar conferences such as EvoApplications. **** Submission Details **** Paper submissions must be original and not published elsewhere. The submissions will be peer reviewed by members of the program committee. The reviewing process will be double-blind, please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Page limit: 16 pages Submission link: coming soon The authors of accepted papers will have to improve their paper on the basis of the reviewers? comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work has to register for the conference, attend the conference and present the work. **** Important Dates **** Submission deadline: November 1, 2022 EvoStar: April 12-14, 2023 **** EvoCOP Programme Chairs **** Thomas St?tzle Universit? Libre de Bruxelles, Belgium stuetzle at ulb.ac.be Leslie P?rez C?ceres Pontificia Universidad Cat?lica de Valpara?so, Chile leslie.perez at pucv.cl -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Wed Oct 19 02:27:15 2022 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Wed, 19 Oct 2022 08:27:15 +0200 Subject: Connectionists: [CfP] The Seventh International Conference on Fog and Mobile Edge Computing (FMEC 2022), Paris, France. December 12-15, 2022 Message-ID: [Apologies if you got multiple copies of this invitation] The Seventh International Conference on Fog and Mobile Edge Computing (FMEC 2022) emergingtechnet.org/FMEC2022/index.php Paris, France. December 12-15, 2022 Technically Co-Sponsored by IEEE France Section *_FMEC 2022 CFP:_* Cloud computing provides a large range of services and virtually unlimited available resources for users. New applications, such as virtual reality and smart building control, have emerged due to the large number of resources and services brought by cloud computing. However, the delay-sensitive applications face the problem of large latency, especially when several smart devices and objects are getting involved in human?s life such as the case of smart cities or Internet of Things. Therefore, cloud computing is unable to meet the requirements of low latency, location awareness, and mobility support. To solve this problem, researchers have introduced a trusted and dependable solution through the Fog and the Mobile Edge Computing (FMEC) to put the services and resources of the cloud closer to users, which facilitates the leveraging of available services and resources in the edge networks. By this, we are moving from the core (cloud data centers) to the edge of the network closer to the users. FMEC dependability is based on providing user centric service. The purpose of Fog and the Mobile Edge Computing is to run the heavy real-time applications at the network edge directly using the billions of connected mobile devices. Several features enable the Fog and the Mobile Edge Computing to be a perfect paradigm to the aforementioned purpose, which are the dense geographical deployment of servers, supporting mobility and the closeness to users. As in every new technology, some challenges face the vision of the Fog and the Mobile Edge Computing, which are the administrative policies and security concerns (i.e. secure data storage, secure computation, network security, data privacy, usage privacy, location privacy, etc). FMEC 2022 conference aims to investigate the opportunities and requirements for Mobile Edge Computing dominance. In addition, it seeks for novel contributions that help mitigating Mobile Edge Computing challenges. That is, the objective of FMEC 2022 is to provide a forum for scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Fog and Mobile Edge Computing (FMEC). FMEC 2022 is Technically Co-Sponsored by IEEE France Section. Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to: * Mobile Cloud Computing Systems. * FMEC Security and Privacy Issues. * FMEC Pricing and billing models. * FMEC support for VANETS and MANETS * Cloudlet based computing * Dew based computing * Lightweight authentication mechanisms in FMEC architecture. * Access Control models in FMEC. * Identification of incentives for FMEC service providers. * The future perspective for FMEC: Challenges and Open Issues. * FMEC Quality of Service (QoS) improvements techniques. * FMEC architecture features and evolution. * FMEC Real-time communication interfaces and protocols. * FMEC Resource scheduling that enhances the reliability and scalability. * FMEC Resources monitoring mechanism and utilization measuring mechanism. * FMEC resources allocation and management. * Real-time load prediction model to optimize the user satisfaction. * FMEC virtualization. * Data storage, processing, and management at FMEC platform. * Cyber hacking, next generation fire wall of FMEC. * Deployment strategies of FMEC Servers * Admission control for FMEC. * Social engineering, insider threats, advance spear phishing. * Incident Handling and Penetration Testing. * Forensics of Virtual and FMEC Environments. * Security protocols in FMEC. * Security and privacy of mobile cloud computing * Security, privacy and reliability issues of MCC and IoT * Security and privacy of IoT * Security and privacy management in MCC * MCC intrusion detection systems * Security of pricing and billing for mobile cloud computing services * Security of mobile, peer-to-peer and pervasive services in clouds * Security of mobile commerce and mobile Internet of Things * Security of mobile social networks * Security and privacy in smartphone devices * Security and privacy in social applications and networks * Security of Mobile, peer-to-peer and pervasive services in clouds * Security of Mobile commerce and mobile internet of things * Security of Operating system and middleware support for mobile computing * Security and privacy in sensor networks * Security and privacy in social applications and networks * Web service security * Security of 3G/4G systems, Wi-MAX, Ad-hoc * Security of Mobile social networks * Near field communication services * Service-oriented architectures, service portability, P2P * Network virtualization and cloud-based radio access networks *_Submissions Guidelines and Proceedings_* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FMEC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *_Important Dates_* Submission Date: 31 October, 2022 Notification to Authors: 15 November , 2022 Camera Ready Submission: 30 November, 2022 *_Contact:_* Please send any inquiry on FMEC 2022 to Emerging Tech. Network Team at: emergingtechnetwork at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.goodman at imperial.ac.uk Wed Oct 19 11:16:09 2022 From: d.goodman at imperial.ac.uk (Goodman, Daniel F M) Date: Wed, 19 Oct 2022 15:16:09 +0000 Subject: Connectionists: SNUFA22 spiking neural network workshop program (Nov 9-10) Message-ID: We are delighted to announce the finalised program for the SNUFA22 spiking neural network workshop. It's free to attend but you do need to register in advance: http://snufa.net/2022/ 9-10 November 2022, European afternoons. (Subscribe to the Google Calendar.) Invited speakers. * Charlotte Frenkel (TU Delft) * Priya Panda (Yale) * Yiota Poirazi (Institute of Molecular Biology and Biotechnology IMBB) * Yonghong Tian (Peking University) Contributed talks: Thomas Limbacher, Ozan ?zdenizci, Robert Legenstein (TU Graz) Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity M. Nardin, J. W. Phillips, W. F. Podlaski, S. W. Keemink (IST Austria) Nonlinear computations in spiking neural networks through multiplicative synapses A. Subramoney, K. K. Nazeer, M. Sch?ne, C. Mayr, D. Kappel (University of Bochum) Beyond Biologically Plausible Spiking Networks for Neuromorphic Computing A. Galloni, A. Peddada, A. Milstein (Rutgers) Behavioral Timescale Synaptic Plasticity (BTSP) for biologically plausible credit assignment across multiple layers via top-down gating of dendritic plasticity W. F. Podlaski, C. K. Machens (Champalimaud) Universal function approximation in balanced spiking networks through convex-concave boundary composition B. Yin, F. Corradi, and S. M. Bohte (CWI) Training Dynamic Spiking Neural Network via Forward Propagation Through Time Z. Liao, D. Hadjiabadi, S. Terada, I. Soltesz, A. Losonczy (Columbia) A biologically plausible inhibitory plasticity rule for world-model learning in SNNs C. B. Currin, K. Stecher, C. Pfeffer, G. Novarino, and T. P. Vogels (IST Austria) Bridging the gap between artificial models and cortical circuits Plus around 30 posters. Many thanks! Dan Goodman, Friedemann Zenke, Katie Schuman, Tim Masquelier -------------- next part -------------- An HTML attachment was scrubbed... URL: From ftobar at uchile.cl Wed Oct 19 20:39:19 2022 From: ftobar at uchile.cl (Felipe Tobar) Date: Wed, 19 Oct 2022 21:39:19 -0300 Subject: Connectionists: Job Post: Researcher in Data Science, Center for Mathematical Modeling (Universidad de Chile) Message-ID: <8CE52080-4DD3-4F5D-A732-DA9BAB9C781A@uchile.cl> **1) Presentation** The Center for Mathematical Modeling (CMM) is searching for a researcher in the area of Data Science and Artificial Intelligence. This position focuses on the development of applied research and technology transfer, within data science projects funded by public instruments or in partnership with private partners. In addition, the selected candidate is expected to contribute to the Center with his/her own line of research, with a strong focus on applied and transferable research, which can be jointly developed with the multidisciplinary teams of the Center and the Data and AI Initiative of the Faculty of Physical and Mathematical Sciences at U. of Chile. **2) Brief description of CMM** The Center for Mathematical Modeling (CMM) is a leading national scientific institution dedicated to theoretical and applied research and technology transfer. Its main objective is to contribute to the development of mathematics and its application to the solution of problems from other sciences, industry and the public sector. CMM is partly funded by ANID (the Chilean Agency for Research and Development), is an International Research Laboratory of the French National Center for Scientific Research (CNRS), and has an extensive national and international network of collaborators. The work of the center is organized into six areas of fundamental research in mathematics, and six strategic areas of applied research and technology transfer (Climate and Biodiversity, Data Science, Digital Health, Digital Mining, Resource Management, and Education). The Data Science area of the Center (CMM-Data) aims to identify and develop applied research and transfer projects related to data science. The group has carried out technology transfer in sectors such as retail, mining, health, marketing analytics and the public sector, working in challenges related to image, audio and natural language processing, time series estimation, pattern recognition, and resource allocation. These problems have been addressed with methodologies inspired by different branches of mathematics, statistics and computer science, including rule-based systems, neural networks, kernel methods and Bayesian inference, among others. In addition to leading its own initiatives, CMM-Data also plays a broader role in the Center by coordinating and making visible the activities that are developed throughout the center on topics related to data. The group also develops continuing education programs, through tailored courses for entities in the public and private sector, and through the development of a Diploma in Data, soon to be launched. **3) Job description** The successful candidate will be immersed in an interdisciplinary working group composed of different CMM laboratories, including the areas of Astroinformatics, Digital Health, Digital Mining, Resource Management and Technology Transfer. In addition, he/she will participate in the Data and Artificial Intelligence Initiative (IDIA) of the University of Chile and will be able to make use of its collaborative networks and other resources. The researcher will report directly to the coordination of the CMM-Data area of the Center. The area in which the researcher will work is responsible for attracting applied research and technology transfer projects with public or private counterparts, both with direct funding and through the application to national (e.g., CORFO or ANID) and international competitive funds. During the development of these projects, the researcher will be expected to lead groups of engineers and data scientists, and collaborate with other researchers at the Center. It is expected that, in the context of the projects in which the researcher will take part, he/she will lead, or actively participate, in research production leading to publications and in the dissemination of results to the academic community. In addition, the position includes teaching in data science in the area of continuing education (particularly in the diploma program currently under development) and the possibility of teaching at the graduate level. The work to be developed in CMM-Data requires, to a large extent, the ability to work independently. Therefore, it is expected that the researcher will bring or explore work topics of his/her own interest, particularly in technology transfer projects, which complement those already developed in the Center. **4) Requirements** The candidate must hold a PhD degree in a discipline relevant to Data Science (including Mathematics, Statistics, Computer Science, Electrical Engineering, Signal Processing, and other related areas). The candidate must demonstrate a track record in which he/she has been able to work, either independently or within a team, on topics involving: Research, technology transfer or business development projects in a research center or higher education institution. Publications in areas related to Data Science, either in applied or theoretical-conceptual terms. Application or development of projects in competitive funds, public and private funds. In addition, the candidate is expected to have the following competencies: Proficiency in scientific English, both written and spoken (indispensable). High knowledge of data analysis tools, e.g., machine learning, natural language processing and/or scientific computing (indispensable). Ability to synthesize, visually communicate project results and prepare technical and financial reports for different entities and audiences. Strong ability to understand, interpret and communicate data analysis results. Excellent communication skills, critical and reflective thinking skills. Ability to work under pressure and to work meeting established deadlines. Desirable: Knowledgeable and proficient in agile methodologies. Experience in leading and developing teams of professionals or researchers. Experience in the formulation of applications to funding projects for technology transfer (such as CORFO or ANID). Experience working with public funding institutions for academic or technological research, as well as with industry-funded research projects. **5) Application materials** Required materials: - Curriculum vitae, including a list of publications and/or applied projects, and highlighting up to three of them which the applicant considers most relevant to this position - Cover letter including description of main interests - Name and email address of two or three references - Reception of applications: Application materials should be sent via email to data-jobs at cmm.uchile.cl. *Salary:* $3,000,000 (CLP) gross per month **Application deadline: December 15, 2022** From muna.al-hawawreh at ieee.org Thu Oct 20 01:09:00 2022 From: muna.al-hawawreh at ieee.org (Muna Al-Hawawreh) Date: Thu, 20 Oct 2022 08:09:00 +0300 Subject: Connectionists: Call For Papers: The 9th International workshop on Big Data and Social Networking Management and Security Message-ID: *The 9th International workshop on Big Data and Social Networking Management and Security (BDSN 2021)* http://emergingtechnet.org/SNAMS2022/Workshops/BDSN2022/ *In conjunction with**The 9th International Conference on Social Networks Analysis, Management and Security(SNAMS-2022)* *Milan, Italy. November 29th - December 1st.* *BDSN 2022 CFP* Data has always been recognized as an important asset for driving value be it scientific, governmental or for enterprise. The amount of data being generated constantly with high volume, velocity and variety has marked the emergence of "Big Data" as a contemporary research challenge with vast opportunities. In the context of the digital-world, the internet and Social Networks have contributed immensely in generating Big Data pools. Hundreds of millions of people around the globe are nowadays connected using different type of social networks. Big Data and Social Networks become interrelated in the modern computing agenda being both concerned with intensive data. As much opportunities they hold, Big Data and Social Networks come with their own challenges such as management, Security, Processing etc. In order to unlock the potentials of these technologies, innovative solutions are required, which will leverage new models in computing. The 9th International workshop on Big Data and Social Networking Management and Security will be a forum for scientists, researchers, students, and practitioners to present their latest research results, ideas, developments, and applications in the areas of big data and social networking. We are mainly interested in receiving state of the art work on different aspect of big data management system, big data security and privacy, cloud computing and big data, social networking and big data analytics, and social networking management and security, to mention but few. *The topics of interest for this workshop include, but are not limited to:* - Big data and Social Networking concepts and applications - Emerging technologies in Big Data and Social Networking - Management Issues of Social Network Big Data - Security challenges in Big Data and Social networks - Social Network and Big Data Analytics - Open Source tools for Big Data - Green Computing for Big Data - Network Infrastructure for Social Networking and Big Data - Social Networks Monitoring Tools As a Service - Cloud Computing for Big Data and Social Networks - Big Data and the Internet of Things - Big Data Management - Big Data and Decision Making - Visualization tools for Big Data *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format (IEEE Templates ). All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the SNAMS Proceeding and to be submitted to IEEE Xplore for inclusion. The proceedings are also submitted for indexing to EI (Compendex), Scopus and other indexing services like DBLP. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers must not exceed 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers Please send any inquiry to Emerging Tech. Network Team at: emergingtechnetwork at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From japkowic at american.edu Wed Oct 19 13:45:21 2022 From: japkowic at american.edu (Nathalie Japkowicz) Date: Wed, 19 Oct 2022 17:45:21 +0000 Subject: Connectionists: Postdoctoral Fellowship: Hate Speech Detection and Prevention through Social Media Analysis Message-ID: Postdoctoral Fellowship: Hate Speech Detection and Prevention through Social Media Analysis Location Washington, D.C. Position URL apply.interfolio.com/115997 Position Description The Department of Computer Science in the College of Arts and Sciences at American University invites applications for a Postdoctoral Fellow appointment for Calendar Year 2023. The appointment is a 12-month term position and will commence on January 1, 2023. The Postdoctoral Fellow will be affiliated with the Department of Computer Science at American University in Washington, D.C. The Fellow will work with Professor Nathalie Japkowicz and other professors and students affiliated with her lab. The successful candidate will help create tools for combatting evolving online expressions of hatred by detecting influencer techniques and user responses on social media platforms. The work will combine Social Network Analysis methods with Natural Language Processing and Image Analysis approaches, using deep learning, graph theoretic, and other relevant AI and Security techniques. Salary is competitive. The principal duties to be carried out (in collaboration with other lab team members) include: ? Data Analysis ? Creation of suitable representations for the data. ? System Design and Implementation ? System Optimization ? Performance Evaluation ? Addition of a self-adapting component to keep the approach current as time elapses. ? Co-supervision of Senior or Master?s students ? Preparation of conference and journal manuscripts ? Assistance in the preparation of grant proposals Qualifications The ideal candidate will hold a Ph.D. in Computer Science, Statistics, Applied Mathematics, Data Science, Computer Engineering, or other related areas and will have substantial experience in Social Network Analysis, NLP, or both. Experience in Deep Learning is necessary while experience in other machine learning, statistical, and security areas are added bonuses. The candidate will have a record of publications in well-recognized conferences and/or journal venues. Application Instructions Review of applications will begin immediately and will continue until November 15, 2022 or until the position is filled, subject to on-going budgetary approval. Include a letter of application, curriculum vitae, a list of three references, and copies of recently published papers or working papers. Please contact Nathalie Japkowicz, at japkowic at american.edu if you have any questions. American University is a private institution within easy reach of the many centers of government, business, research, and the arts located within the nation?s capital. For more information about American University, visit www.american.edu. Equal Employment Opportunity Statement: American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual?s genetic information or any other bases under federal or local laws (collectively ?Protected Bases?) in its programs and activities. American University is a tobacco and smoke free campus. To ensure the health and safety of our community, American University requires that all faculty and staff are vaccinated for Covid-19. To learn more about American University's health and safety directives please click here. https://www.american.edu/hr/how-we-work/vaccinations.cfm Hiring offers for this position are contingent on the successful completion of a background check. American University is required to comply with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act). In accordance with the Clery Act, each year American University prepares an Annual Security Report. This report contains campus crime statistics as well as descriptions of Public Safety's services. It is available to all applicants upon request by calling the Department of Public Safety at 202-885-2537 or the Annual Security Report is also available online. --- Nathalie Japkowicz, Ph.D. Links to Publications Professor and Chair Google Scholar Department of Computer Science DBLP American University http://fs2.american.edu/japkowic/www/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From pstone at cs.utexas.edu Wed Oct 19 13:29:57 2022 From: pstone at cs.utexas.edu (Peter Stone) Date: Wed, 19 Oct 2022 12:29:57 -0500 Subject: Connectionists: [jobs] Robotics Faculty Positions - The University of Texas at Austin Message-ID: <22976.1666200597@cs.utexas.edu> Colleagues, Texas Robotics at the University of Texas at Austin invites applications for tenure-track faculty positions. Outstanding candidates in all areas of Robotics will be considered. Tenure-track positions require a Ph.D. or equivalent degree in a relevant area at the time of employment.?? Successful candidates are expected to pursue an active research program, to teach both graduate and undergraduate courses, and to supervise students in research. The University is fully committed to building a diverse faculty and we are interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching, research, and service. The current robotics faculty includes representatives from several departments who work to advance fundamental scientific and engineering knowledge in areas such as intelligent navigation and manipulation, robot learning, and multi-robot systems, as well as on numerous applications including social, rehabilitation, surgery, autonomous vehicles, drilling, manufacturing, space, nuclear, and defense.?? Full detail on our program are available at http://robotics.utexas.edu. The group recently moved into a custom-renovated historic building at the center of campus. To be considered for a position, please apply to one or more of the following three departments: - Computer Science: https://www.cs.utexas.edu/faculty/recruiting - Electrical and Computer Engineering: https://www.ece.utexas.edu/jobs - Mechanical Engineering: http://apply.interfolio.com/113653 In addition, to ensure that your application is connected with the robotics search, please send your cover letter and CV to ??faculty_jobs_robotics at utlists.utexas.edu along with an indication of which department(s) you applied to. Complete applications to any of the above departments that meet the corresponding deadline will be considered.?? Robotics applications will be reviewed as they are received.?? Applicants are encouraged to apply as soon as possible for full consideration. From juergen at idsia.ch Thu Oct 20 04:31:58 2022 From: juergen at idsia.ch (Schmidhuber Juergen) Date: Thu, 20 Oct 2022 08:31:58 +0000 Subject: Connectionists: Rising Stars in AI Symposium 19-21 Feb 2023 at KAUST Message-ID: The AI initiative at KAUST (the university with the highest impact per faculty, located on the Red Sea) is hosting its second annual 'Rising Stars in AI' Symposium, which is an event geared towards young researchers (including PhD students, PostDocs, and early career faculty) who have recently published significant works at leading AI venues. It is a great opportunity for attendees to discuss and exchange exciting AI research ideas. The Symposium organizing committee will select a number of speakers based on their research profile. Selected speakers will have the opportunity to give presentations about their work recently accepted at major AI conferences such as NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, EMNLP, ACL, among others. Speakers are encouraged to start with an introduction aimed at non-AI experts and follow up with in-depth technical details. There will also be plenty of time for discussions, snorkeling trips, and social activities. The symposium will be held at KAUST on February 19-21 with (limited) in-person attendance, and those selected for the symposium as speakers will have their flights and hotel expenses covered. To apply, please go to https://cemse.kaust.edu.sa/ai/aii-symp-2023 Prof. J?rgen Schmidhuber Director, AI Initiative, KAUST Scientific Director, Swiss AI Lab IDSIA Co-Founder & Chief Scientist, NNAISENSE From jncor at dei.uc.pt Thu Oct 20 12:51:50 2022 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Thu, 20 Oct 2022 17:51:50 +0100 Subject: Connectionists: The Last CfP EvoApplications 2023 - 26th European Conference on the Applications of Evolutionary and bio-inspired Computation Message-ID: Dear Colleague(s), Apologies for cross-posting. We are organising the 26th International Conference on the Applications of Evolutionary Computation (EvoApplications) which will be held as part of EvoStar on April 12-14, 2023, in Brno, Czech Republic. EvoApplications invites you to submit high-quality contributions on applications of evolutionary computation and other nature-inspired techniques. The submission deadline is the 1st of November 2022. Please visit https://www.evostar.org/2023/evoapps for more information. EvoApplications is in the conference ranking database CORE http://portal.core.edu.au/conf-ranks/2218/ Best regards, The EvoApps 2023 chairs Jo?o Correia Stephen Smith Raneem Qaddoura ----------------------------------------------- Call for papers for the EvoApps 2023 conference https://www.evostar.org/2023/evoapps Submission Deadline: November 1, 2022 Conference: 12 to 14 April 2023. Venue: Brno, Czech Republic **** News **** .EvoApps Special Sessions: https://www.evostar.org/2023/evoapps Special Sessions: .Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications .Applications of Bio-inspired techniques on Social Networks .Evolutionary Computation for Sustainability .Evolutionary Computation in Edge, Fog, and Cloud Computing .Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition .Machine Learning and AI in Digital Healthcare and Personalized Medicine .Resilient Bio-Inspired Algorithms .Soft Computing applied to Games .Surrogate-Assisted Evolutionary Optimisation .Evolutionary Machine Learning (Joint-track with EuroGP) ----------------------------------------------- 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 26th edition, which will be held as part of the EvoStar 2023 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 in 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 1, 2022 Conference: 12 to 14 April 2023. Venue: Brno, Czech Republic 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: http://www.evostar.org/2023/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From zitao.jerry.liu at gmail.com Fri Oct 21 04:30:36 2022 From: zitao.jerry.liu at gmail.com (Zitao Liu) Date: Fri, 21 Oct 2022 16:30:36 +0800 Subject: Connectionists: First Call for Papers - AI for Education@AAAI 2023 Message-ID: *The 4th International Workshop on AI for Education at AAAI 2023* ** Call for Papers ** - AAAI2023 The 4th International Workshop on AI for Education *http://ai4ed.cc/workshops/aaai2023* Technology has transformed over the last few years, turning from futuristic ideas into today?s reality. AI is one of these transformative technologies that is now achieving great successes in various real-world applications and making our life more convenient and safe. AI is now shaping the way businesses, governments, and educational institutions doing things and is making its way into classrooms, schools and districts across many countries. --------------------- *Workshop Description* --------------------- In this workshop, we invited AIED enthusiasts from all around the world through the following three different channels: First, we invited established researchers in the AIED community to give a broad talk that (1) describes a vision for bridging AIED communities; (2) summarizes a well-developed AIED research area; or (3) presents promising ideas and visions for new AIED research directions. Second, we called for regular workshop paper submissions and cross-submissions (papers that have appeared in or submitted to alternative venues) related to a broad range of AI domains for education. Third, we hosted a global challenge on Codalab for a fair comparison of state-of-the-art Knowledge Tracing models and invited technical reports from winning teams. --------------------- *Regular Workshop Paper Submission* --------------------- We invite high-quality paper submissions of theoretical and experimental nature on topics including, but not limited to, the following: l Emerging technologies in education l Evaluation of education technologies l Immersive learning and multimedia applications l Implications of big data in education l Self-adaptive learning l Individual and personalized education l Intelligent learning systems l Intelligent tutoring and monitoring systems l Automatic assessment in education l Automated grading of assignments l Automated feedback and recommendations l Big data analytics for education l Analysis of communities of learning l Computer-aided assessment l Course development techniques l Data analytics & big data in education l Mining and web mining in education l Learning tools experiences and cases of study l Social media in education l Smart education l Digital libraries for learning l education analytic approaches, methods, and tools l Knowledge management for learning l Learning analytics and educational data mining l Learning technology for lifelong learning l Tracking learning activities l Uses of multimedia for education l Wearable computing technology in e-learning l Smart classroom l Dropout prediction l Knowledge tracing The workshop solicits 4-7 pages double-blind paper submissions from participants. Submissions of the following flavors will be sought: (1) research ideas, (2) case studies (or deployed projects), (3) review papers, (4) best practice papers, and (5) lessons learned. The format is the standard double-column AAAI Proceedings Style. All submissions will be peer-reviewed. Some will be selected for spotlight talks, and some for the poster session. --------------------- *Cross-submissions* --------------------- In addition to previously unpublished work, we invite papers on relevant topics which have appeared in alternative venues (such as other ML or AIED conferences). Accepted cross-submissions will be presented as *15-min oral presentations*, with an indication of the original venue. Selection of cross-submissions will be determined solely by the organizing committee. There will be no regular paper reviews for cross submissions. --------------------- *Submission Website* --------------------- Submission website: https://easychair.org/conferences/?conf=aaai2023ai4edu. The submission AUTHOR KIT can be found at https://www.aaai.org/Publications/Templates/AnonymousSubmission23.zip. --------------------- *Global Knowledge Tracing Challenge* --------------------- In this competition, we would like to call for researchers and practitioners worldwide to investigate the opportunities of improving the student assessment performance via knowledge tracing approaches with rich side information. [image: kt.png] The details of this competition can be found at http://ai4ed.cc/competitions/aaai2023competition. --------------------- *Important Dates* --------------------- Nov 27, 2022: Workshop paper submission due AOE Dec 25, 2022 : Notifications of acceptance Jan 5, 2023: Deadline of the camera-ready final paper submission Feb 13 (or 14), 2023: Workshop Date --------------------- *Organizers* --------------------- Zitao Liu TAL Education Group, China Weiqi Luo Guangdong Institute of Smart Education, Jinan University, China Shaghayegh (Sherry) Sahebi University at Albany ? SUNY, USA Lu Yu Beijing Normal University, China Richard Tong IEEE AI Standard Committee & Squirrel AI Learning, USA Jiahao Chen TAL Education Group, China Qiongqiong Liu TAL Education Group, China Best Regards, The AI4EDU workshop organizing committees (Zitao Liu, Weiqi Luo, Shaghayegh Sahebi, Lu Yu, Richard Tong, Jiahao Chen, Qiongqiong Liu) Dr. Zitao Liu | http://www.zitaoliu.com -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: kt.png Type: image/png Size: 1792876 bytes Desc: not available URL: From c.clopath at imperial.ac.uk Fri Oct 21 07:20:32 2022 From: c.clopath at imperial.ac.uk (Clopath, Claudia) Date: Fri, 21 Oct 2022 11:20:32 +0000 Subject: Connectionists: PhD in Machine Learning (joint between Clopath and Pascanu) Message-ID: PhD position in Machine Learning in the Clopath lab under the joint supervision of Dr Claudia Clopath (Imperial College London) and Dr Razvan Pascanu (DeepMind London) -----------------Description-------------- This is a 3 year PhD position at Imperial College London. The position will be co-supervised by Dr. Claudia Clopath (head of the lab) and Dr. Razvan Pascanu (Research Scientist at DeepMind). The student will be based in the Clopath lab. The focus of the PhD will be on machine learning while drawing inspiration from computational neuroscience. In particular the main themes will revolve around Deep Learning and Deep Reinforcement Learning. The research will be published at conferences such as NeurIPS, ICML or ICLR. An *incomplete* list of topics of interest could include: * Theory of Deep Learning/Deep Reinforcement Learning * Understanding learning dynamics * Representational power of neural networks * Exploiting our understanding of dopamine for training RL systems * Topics around introducing structure in neural networks (e.g. Graph-Nets) * Optimization for neural networks (theory/application) * Understanding memory in recurrent models/attention based models (improve the memory capacity of RNNs) * Meta-learning/Continual learning or exploration in RL systems Although we welcome the student?s suggestion for potential projects. ---------------Requirements-------------------- The perfect candidate has a strong background in maths, physics, engineering or related fields. Machine Learning background is a plus but not necessary. The candidate should have strong programming skills (knowledge of tensorflow/pytorch/jax could be a plus but not required). Interest in neural networks research and experience is a plus. The position will be decided in two rounds. First, the candidate will apply to the lab (see below), and if accepted, they will then apply to the graduate program of Imperial College London for funding. Note that the funding is competitive and that UK citizens have a higher chance by nature of the system. ------------ The lab ------------ The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals and conferences. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research. The lab is at Imperial College London, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/ DeepMind is a company focusing on AI and ML research, with world-wide recognized expertise. It research centers around Deep Learning and Reinforcement Learning, with successes such as AlphaGo, first AI winning against a human professional at the game of Go. More information here: https://deepmind.com/about/. For more info on Razvan Pascanu?s work see https://sites.google.com/view/razp. ----------------- How to apply:----------------- Candidates should send a single pdf file, consisting of a 1 to 2-page motivation letter followed by a CV (including publication list) to clopathlab.imperial at gmail.com, with the subject containing 'PhD_ML_2022'. In addition, candidates should organize two letters of reference to be sent to clopathlab.imperial at gmail.com, with the subject containing 'PhD_ML_2022'. The position is open until filled but the earlier applications will be considered first. -------------- next part -------------- An HTML attachment was scrubbed... URL: From demian.battaglia at univ-amu.fr Fri Oct 21 06:59:26 2022 From: demian.battaglia at univ-amu.fr (BATTAGLIA Demian) Date: Fri, 21 Oct 2022 10:59:26 +0000 Subject: Connectionists: Brain Criticality 2022 Hybrid Meeting - Deadline October 23rd for virtual registration Message-ID: *** LAST DAYS TO REGISTER FOR VIRTUAL PARTICIPATION AND SUBMIT VIRTUAL POSTER ABSTRACT*** We are happy to announce that the next conference on ?Criticality in Neural Systems 2022: Collective Behavior, Synchronization, and Complexity? will take place at the Porter Neuroscience Research Center (National Institute of Health, Bethesda, MD, USA) from Nov. 7 ? 9th, 2022 (shortly before the SFN Meeting, San Diego) The conference will be held in a hybrid format, both in presence at NIH Bethesda and via Zoom. Presentations by the invited speakers, with ample time for discussions, including with online participants, will be complemented by a poster session (in presence and online) and by a selection of contributed spotlight presentations. Keeping line with previous editions of the Brain Criticality conferences series, this conference will present the latest experimental and theoretical advancements in the study of critical phenomena in brain activity and their functional relevance. While preserving emphasis on criticality, this edition will feature as well communications about general collective behavior and dynamic complexity in the brain (and other biological systems). REGISTRATION IS OPEN AND FREE ON https://braincriticality.org/ Deadline for virtual registration: October 23rd Deadline for abstract submission (with spotlight oral preference): October 9th Deadline for abstract submission (poster only): October 23rd Confirmed Speakers Ad Aertsen (Freiburg, Germany) Dante Chialvo (Buenos Aires, Argentina) Karin Dahmen (Urbana-Champaign, IL) Irene Giardina (Rome, Italy) Michelle Girvan (College Park, MD) Moritz Helias (J?lich, Germany) Henrik Jensen (London, UK) Arvind Kumar (Stockholm, Sweden) Anna Levina (T?bingen, Germany) Klaus Linkenkaer-Hansen (Amsterdam, the Netherlands) Simona Olmi (Sesto Fiorentino, Italy) Orit Peleg (Boulder, CO) Pawel Romanczuk (Berlin, Germany) Woodrow Shew (Fayetteville, AR) James Shine (Sidney, Australia) Samir Suweis (Padova, Italy) Enzo Tagliazucchi (Buenos Aires, Argentina) Bradley Voytek (La Jolla, CA) Ralf Wessel (St Louis, MO) Changsong Zhou (Hong Kong, Popular Republic of China) Organizers Dietmar Plenz (Bethesda, MD) Lucilla de Arcangelis (Caserta, Italy) Miguel Angel Munoz (Granada, Spain) Mauro Copelli (Recife, Brazil) Demian Battaglia (Marseille & Strasbourg, France) For more information visit our website https://braincriticality.org/ or contact us over email. -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.jaeger at rug.nl Fri Oct 21 11:48:38 2022 From: h.jaeger at rug.nl (Herbert Jaeger) Date: Fri, 21 Oct 2022 17:48:38 +0200 Subject: Connectionists: Three 3-year positions in teaching (general AI) in Groningen, NL Message-ID: <28d4a747-d7ba-df00-7d41-1dfeb127c954@rug.nl> The AI Department in the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence (https://www.rug.nl/research/bernoulli/) at the University of Groningen (https://www.rug.nl/) offers three 3-year positions for teaching in general AI, with competitive salaries, in a most welcoming and high-ranked working environment (top-100 university, https://www.rug.nl/about-ug/profile/facts-and-figures/position-international-rankings). The application deadline is November 7, 2022. Formal prerequisites are a PhD degree; outstanding holders of a MSc degree will also be considered. Details can be found at https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S0009N3P&cat=wp - Herbert Jaeger -- Dr. Herbert Jaeger Professor of Computing in Cognitive Materials Rijksuniversiteit Groningen Faculty of Science and Engineering - CogniGron Bernoulliborg Nijenborgh 9, 9747 AG Groningen office: Bernoulliborg 402 phone: +31 (0) 631 921588 COVID home office phone: +49 (0) 4209 930403 web: www.ai.rug.nl/minds/ From nsmattei at tulane.edu Fri Oct 21 12:47:51 2022 From: nsmattei at tulane.edu (Nicholas Mattei) Date: Fri, 21 Oct 2022 11:47:51 -0500 Subject: Connectionists: 2023 ACM/SIGAI Autonomous Agents Research Award Now Accepting Applications Message-ID: All, Nominations are solicited for the 2023 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 2023 conference in London, United Kingdom. How to Nominate Anyone can make a nomination. Nominations should be made by email to the chair of the award committee, Manuela Veloso (mmv at cs.cmu.edu), 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! Important Dates 15 November 2022 ? Deadline for nominations 15 December 2022 ? Announcement of winner 29 May ? 2 June 2023 ? AAMAS-2023 conference in London, United Kingdom More Information: https://sigai.acm.org/main/the-acm-sigai-autonomous-agents-research-award/ -- *Nicholas Mattei* Assistant Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 402B +1 504 862 8391 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Oct 22 11:04:35 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 22 Oct 2022 17:04:35 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Winter: early registration October 24 Message-ID: <1775168691.1638896.1666451076052@webmail.strato.com> ****************************************************************** 8th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Winter Bournemouth, UK January 16-20, 2023 https://irdta.eu/deeplearn/2023wi/ *********** Co-organized by: Department of Computing and Informatics Bournemouth University Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: October 24, 2022 ****************************************************************** SCOPE: DeepLearn 2023 Winter 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 and Lule?. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting 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, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. 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. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. 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 2023 Winter 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 2023 Winter will take place in Bournemouth, a coastal resort town on the south coast of England. The venue will be: Talbot Campus Bournemouth University https://www.bournemouth.ac.uk/about/contact-us/directions-maps/directions-our-talbot-campus 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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yi Ma (University of California, Berkeley), CTRL: Closed-Loop Data Transcription via Rate Reduction Daphna Weinshall (Hebrew University of Jerusalem), Curriculum Learning in Deep Networks Eric P. Xing (Carnegie Mellon University), It Is Time for Deep Learning to Understand Its Expense Bills PROFESSORS AND COURSES: Mohammed Bennamoun (University of Western Australia), [intermediate/advanced] Deep Learning for 3D Vision Matias Carrasco Kind (University of Illinois, Urbana-Champaign), [intermediate] Anomaly Detection Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Graph Representation Learning Seungjin Choi (Intellicode), [introductory/intermediate] Bayesian Optimization over Continuous, Discrete, or Hybrid Spaces Sumit Chopra (New York University), [intermediate] Deep Learning in Healthcare Luc De Raedt (KU Leuven), [introductory/intermediate] From Statistical Relational to Neuro-Symbolic Artificial Intelligence Marco Duarte (University of Massachusetts, Amherst), [introductory/intermediate] Explainable Machine Learning Jo?o Gama (University of Porto), [introductory] Learning from Data Streams: Challenges, Issues, and Opportunities Claus Horn (Zurich University of Applied Sciences), [intermediate] Deep Learning for Biotechnology Zhiting Hu (University of California, San Diego) & Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] A "Standard Model" for Machine Learning with All Experiences Nathalie Japkowicz (American University), [intermediate/advanced] Learning from Class Imbalances Gregor Kasieczka (University of Hamburg), [introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models Karen Livescu (Toyota Technological Institute at Chicago), [intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond David McAllester (Toyota Technological Institute at Chicago), [intermediate/advanced] Information Theory for Deep Learning Abdelrahman Mohamed (Meta), [intermediate/advanced] Speech Representation Learning for Recognition and Generation Dhabaleswar K. Panda (Ohio State University), [intermediate] Exploiting High-performance Computing for Deep Learning: Why and How? Fabio Roli (University of Cagliari), [introductory/intermediate] Adversarial Machine Learning Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Richa Singh (Indian Institute of Technology Jodhpur), [introductory/intermediate] Trusted AI Kunal Talwar (Apple), [introductory/intermediate] Foundations of Differentially Private Learning Tinne Tuytelaars (KU Leuven), [introductory/intermediate] Continual Learning in Deep Neural Networks Lyle Ungar (University of Pennsylvania), [intermediate] Natural Language Processing using Deep Learning Bram van Ginneken (Radboud University Medical Center), [introductory/intermediate] Deep Learning for Medical Image Analysis Yu-Dong Zhang (University of Leicester), [introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis 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 mailto:david at irdta.eu by January 8, 2023. 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 mailto:david at irdta.eu by January 8, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company 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 mailto:david at irdta.eu by January 8, 2023. ORGANIZING COMMITTEE: Rashid Bakirov (Bournemouth, local co-chair) Marcin Budka (Bournemouth) Vegard Engen (Bournemouth) Nan Jiang (Bournemouth, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023wi/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. 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 courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2023wi/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu mailto:david at irdta.eu ACKNOWLEDGMENTS: Bournemouth University Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.hutt at inria.fr Sat Oct 22 12:47:36 2022 From: axel.hutt at inria.fr (Axel Hutt) Date: Sat, 22 Oct 2022 18:47:36 +0200 (CEST) Subject: Connectionists: Permanent position in computational modeling of neurostimulation in mental disorders Message-ID: <2119153799.2320476.1666457256525.JavaMail.zimbra@inria.fr> ------------------------------------------------------------------------------------ Permanent position in computational modeling of neurostimulation in mental disorders ------------------------------------------------------------------------------------ The research of a new team at INRIA in Strasbourg / France aims to create a synergy between clinicians and scientists to develop new healthcare technologies. The team researchers collaborate closely with clinicians and choose their research focus along the clinical applications. Major scientific objectives are the development of advanced online- and offline simulations of neural activity on the macroscopic scale involving new numerical techniques for real-time computation and data-driven simulation dedicated to patient-specific modelling. The specific focus of the teams research is general anaesthesia, description of consciousness and/or attention and neurostimulation of patients suffering from mental disorders. The team offers the possibility to apply for a permanent position as Charg? de Recherche (CR) or Directeur de Recherche (DR) in the research field of computational neuroscience with a strong focus on linking brain network modelling with experimental data. The new colleague should have a strong expertise in neurostimulation and/or modelling of experimental data observed in mental disorders. Strong programming and mathematical skills are mandatory. INRIA is a French National Institute for Research in Digital Science and Technology (https://www.inria.fr/en) with 9 research centres in France. The new team will be located in the centre of Strasbourg on the hospital campus as part of the Research Centre Nancy Grand Est. The application deadline will be mid of February 2023, but it is recommended to contact us (by email: axel.hutt at inria.fr) in advance. For more details or sending your application documents (CV including publication list), please contact Dr. Axel Hutt (email: axel.hutt at inria.fr) . -- Axel Hutt Directeur de Recherche Equipe MIMESIS INRIA Nancy Grand Est B?timent IHU 1, Place de l'Hopital 67000 Strasbourg, France https://mimesis.inria.fr/members/axel-hutt/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Sat Oct 22 23:43:43 2022 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sun, 23 Oct 2022 03:43:43 +0000 Subject: Connectionists: Last Call: IEEE BIBM-LncRNA'22: Workshop on Long Non-Coding RNAs In-Reply-To: References: , , , , Message-ID: Apologies if you receive multiple copies ... See our website: BIBM- LncRNA'2022: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ Paper submission deadline: Oct. 24, 2022 -- see below Call for Papers The IEEE BIBM 2022 Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2022 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2022), Dec. 6 - 9, 2022. Though the BIBM conference will be held in Las Vegas, NV, USA/ Changsha, Hunan, China the LncRNA workshop will be held in a mixed mode -- both virtual/remote and in-person in Las Vegas, NV, USA/ Changsha, Hunan, China, and also in Dubai, UAE. BIBM- LncRNA'2022: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ IEEE BIBM 2022: https://ieeebibm.org/BIBM2022/ The recent application of high throughput technologies to transcriptomics has changed our view of gene regulation and function. The discovery of extensive transcription of large RNA transcripts, termed long noncoding RNAs (lncRNAs), provide an important and new perspective on the centrality of RNA in gene regulation. LncRNAs are involved in various biological and cellular processes, such as genetic imprinting, chromatin remodeling, gene regulation and embryonic development. LncRNAs have been implicated in several chronic diseases, such as cancers, and heart disease, etc. Various types of genomic data on lncRNAs are currently available, including sequences, secondary/tertiary structures, transcriptome data, and their interactions with related proteins or genes. The key challenge is how to integrate data from myriad sources to determine the functions and the regulatory mechanism of these ubiquitous lncRNAs. Research topics: The potential topics include, but not limited to, the following: lncRNA detection and biomarker discovery CLIP-Seq and RIP-Seq data analysis Prediction of physical binding between lncRNA and DNA, RNA and protein. Competition and interaction between lncRNA, miRNA and mRNA Studying methylation regulating lncRNA functions Function Prediction for lncRNAs Deep learning approaches to lncRNA/RNA binding protein prediction Computational approaches to analyzing lncRNA lncRNA 3D secondary structures lncRNA-protein interactions lncRNA in epigenetic regulation lncRNA associated diseases network lncRNAs in plant genomics lncRNAs in phenotype-genotype problems lncRNAs and single cell transcriptomics lncRNAs and spatial transcriptomics CRISPR/Cas9 and Genome editing in lncRNAs We invite you to submit papers with unpublished, original research describing recent advances on the areas related to this workshop. All papers will undergo peer review by the conference program committee. All papers accepted will be included in the Workshop Proceedings published by the IEEE Computer Society Press and will be available at the workshop. Authors of selected papers will be invited to extend their papers for submission to special issues in prestigious Journals. Fellowships: Funds are available for limited fellowships to support the participation of students, and of researchers from underrepresented minority groups in the workshop. We aim at supporting at least one author for each accepted paper, depending on number of papers, and on availability of funds. Journal Special Issue: Authors of selected submissions may be invited to extend their papers for submission for review and possible publication in a special issue of a journal. The journal special issue for the 2021 workshop is currently open and is being published by the Non-Coding RNA. https://www.mdpi.com/journal/ncrna/special_issues/81CH217P14 Paper Submission: (Abstract, Short Paper, or Full Paper) Please submit your abstract (1 page), short paper (2 pages), or full-length paper (up to 8 pages in IEEE 2-column format) through the online submission system. Electronic submissions in pdf format are required. Click on this link to submit paper. Important Dates: Oct 24, 2022 11:59:59 PM WST: Due date for full workshop paper submission. Nov 10, 2022: Notification of paper acceptance to authors Nov 21, 2022: Camera-ready of accepted papers Dec 6-9, 2022: Workshops BIBM-LncRNA'22 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Sun Oct 23 13:59:55 2022 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Sun, 23 Oct 2022 19:59:55 +0200 Subject: Connectionists: DEADLINE IS APPROACHING! - IET Image Processing special issue on "Advancements in Fine Art Pattern Extraction and Recognition" Message-ID: <2e48a197-b593-a34f-9767-ed6d43b7a892@unifi.it> apologies for multiple posting, please distribute among interested parties _________________ *Call for Papers* _______ *Special Issue of IET Image Processing on* __________ *ADVANCEMENTS in FINE ART PATTERN EXTRACTION and RECOGNITION* !!! *DEADLINE IS APPROACHING* !!! ________28 November 2022_________ ___________ Aim & Scope Cultural heritage, especially fine arts, plays an invaluable role in the cultural, historical and economic growth of our societies. Fine arts are primarily developed for aesthetic purposes and are mainly expressed through painting, sculpture and architecture. In recent years, thanks to technological improvements and drastic cost reductions, a large-scale digitization effort has been made, which has led to an increasing availability of large digitized fine art collections. This availability, coupled with recent advances in pattern recognition and computer vision, has disclosed new opportunities, especially for researchers in these fields, to assist the art community with automatic tools to further analyze and understand fine arts. Among other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. This special issue aims to offer the opportunity to present advancements in the state-of-the-art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for a better understanding and fruition of fine arts, soliciting contributions from pattern recognition, computer vision, artificial intelligence and image processing research areas. The special issue will be linked to the 2nd International Workshop on Fine Art Pattern Extraction and Recognition (FAPER2022). Authors of selected conference papers will be invited to extend and improve their contributions for this special issue, and authors are also invited to submit new contributions (non-conference papers). _______________________________________ Topics include, but are not limited to: - Applications of machine learning and deep learning to cultural heritage and digital humanities - Computer vision and multimedia data processing for fine arts - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Point cloud segmentation and classification for cultural heritage - Historical document analysis - Content-based retrieval in visual art domain - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Project, products or prototypes for cultural heritage _______________________________________ *Submission Deadline*: 28 November 2022 Submissions must be made through ScholarOne: https://mc.manuscriptcentral.com/theiet-ipr see the PDF call for paper for more information: https://ietresearch.onlinelibrary.wiley.com/pb-assets/assets/17519667/Special%20Issues/IPR%20SI%20CFP_AFAPER-1651107571727.pdf ___________ Open Access From January 2021, The IET began an Open Access publishing partnership with Wiley. As a result, all submissions that are accepted for this Special Issue will be published under the Gold Open Access Model and subject to the Article Processing Charge (APC) of $2,300. *APC can be covered in FULL, i.e. FREE OF CHARGE*, or part by your institution *CHECK? YOUR? ELIGIBILITY? HERE* https://authorservices.wiley.com/author-resources/Journal-Authors/open-access/affiliation-policies-payments/institutional-funder-payments.html _______________ Editor-in-Chief Prof. Farzin Deravi, University of Kent, UK _____________ Guest Editors Giovanna Castellano, Universita' di Bari, Italy Gennaro Vessio, Universita' di Bari, Italy Fabio Bellavia, Universita' di Palermo, Italy Sinem Aslan, Universit? Ca' Forscari Venezia, Italy From christine.sinoquet at univ-nantes.fr Fri Oct 21 18:26:35 2022 From: christine.sinoquet at univ-nantes.fr (Christine Sinoquet) Date: Sat, 22 Oct 2022 00:26:35 +0200 Subject: Connectionists: Engineer or postdoctoral research position in France (Nantes) - Analysis of time series in robotic surgery Message-ID: <6bb20e7c-f54d-a619-a47c-62bb09352802@univ-nantes.fr> *Engineer or post-doctoral research position ** **Analysis of time series in robotic surgery* ** *Key****words**: machine learning on time series, clustering, classification, average time series* *Context* Surgical robotics is now widely used with, for instance, more than 5000 Da Vinci systems and one million procedures performed worldwide. Surgery is a complex activity, in a very small anatomical volume, and with a lot of variability between patients and between surgeons. The global objective of the two-year SPARS (Sequential Pattern Analysis in Robotic Surgery: Understanding Surgery) project led by the MediCIS team (LTSI (1), Inserm, Rennes 1 University) is to develop data analysis approaches being able to provide a better understanding of the surgical practice, from complex surgical data. The approaches will be developed thanks to the complementary skills available in the project?s consortium, including time series analysis. In this consortium, the IRISA laboratory (Rennes and Vannes) is calling for applications for a post-doctoral research position (duration two years) on time series analysis. (1) Laboratoire Traitement du Signal et de l'Image *Missions* In the SPARS project context, a trajectory compiles information on the 3D location of the tip of a surgical instrument at the hands of the surgeon, at a constant frequency. The candidate will be mostly involved in one of the three workpackages of the SPARS project. *A first task* will focus on clustering and classification for such trajectories. Various *practical objectives* are pursued, including the generation of a model corresponding to a cluster or a class, the characterization of operating modes specific to a type of patient or a type of surgeon, the provision of advice to practitioners in the case of robotic surgeries that are not or not very well documented, the identification of the level of expertise of a practitioner, the prediction of the surgical procedure to be chosen according to the type of patient. These investigations will use dissimilarity measures based on temporal alignment, as DTW [SC71] or elastic kernels as proposed in [CVB07], [CB17] and [M19a]. This task will also address co-clustering for trajectories. The investigations will focus on how to combine time series with other types of data for a co-clustering purpose, using either deep learning [XCZ19] if enough data is available, symbolic representation [BBC15] or latent block [BLN20] models that all need to be adapted to the specificity of kinematics data. Once a cluster or a class is obtained, another task will be to compute an average trajectory from a set of trajectories. The *practical objectives* will be the following: highlight deviations from the average trajectory that are potentially interpretable (as characteristics of the practitioner, or of the patient, for example)?; identify the best operating mode to young practitioners or trainees if it is possible to correlate the operating mode with clinical results. Intuitively, on the graphical representation of a time series, variability related to temporality (phase) concerns the abscissa axis, and variability related to shape concerns the ordinate axis. To compute a consensus trajectory, *the second task* of the package will examine how to extract the atemporal form and the variable component related to temporality, assuming that this atemporal form may be interpreted as an approximation of the consensus. The problem of shape and phase separation has been studied in [PZ16], [SSV10] and [M19a]. The second task will examine how to improve the preliminary work in [M19b], notably by proposing other kernels. *Requirements for this position* Doctorate in computer science, applied mathematics and computer science, or mathematics, with a specialization in machine learning?and the following requirements: - theoretical skills and experience in probability / statistics, applied mathematics, machine learning, - strong knowledge and solid experience in temporal data analysis, - publications in major conferences or journals in the field, - mastery of data manipulation, relying on machine learning libraries, - programming experience, good programming skills (notably in Python) and technical ability to manage a code development project, - ability to work in a team, and report on the progress of work. Some knowledge in deep learning will be a plus. The personal qualities expected are mostly autonomy and interest in interdisciplinarity (health), as well as writing skills (both in French and English). Fluency in French will be a plus. *Work environment* *Location**:***Institut de Recherche en informatique et Syst?mes Al?atoires (IRISA), Universit? de Rennes 1 - Campus Beaulieu, 263 Av. G?n?ral Leclerc, 35000 Rennes *Duration**:* 24 months ? Applications will be accepted until the position is filled (*for recruitment by 1 December 2022 at the latest*) *Host team**:* LINKMEDIA The successful candidate will work with four academic researchers from IRISA / Rennes / LINKMEDIA team (Simon Malinowski, Associate Professor in Computer Science), IRISA / Vannes / EXPRESSION team (Pierre-Fran?ois Marteau, Full Professor in Computer Science), LS2N (2) / Nantes / DUKe team (Christine Sinoquet, Associate Professor with French Accreditation to supervise Research (HdR)) and INSERM / Rennes / LTSI MediCIS team (Pierre Jannin, Directeur de recherche INSERM, HdR). The successful candidate will collaborate with the partners in the project, among which the other post-doctoral fellow involved in the project and the project partners experts in surgery and in surgical data analysis. (2) Laboratoire des Sciences du Num?rique de Nantes?: UMR CNRS 6004 * * *Income:***2160,26 euros before taxes monthly *How to apply? * Documents to be provided?: - detailed Curriculum Vitae including a complete list of publications, - letter of motivation indicating the candidate?s research interests and achievements to date, - a selection of publications, - the PhD thesis manuscript, - Master 2 marks (with rank and number of students in the year) - letters of recommendation for the current year, - contact details of two referees (at least) with whom the candidate has worked (first name, surname, status, institution (give details of acronyms if applicable), city, e-mail address, telephone number) Questions or application files (*zip archive only*) should be sent to the four contact persons below: simon.malinowski at irisa.fr christine.sinoquet at univ-nantes.fr pierre-francois.marteau at univ-ubs.fr pierre.jannin at univ-rennes1.fr (SPARS project leader) Simon Malinowksihttp://people.irisa.fr/Simon.Malinowski/ Christine Sinoquet https://christinesinoquet.wixsite.com/christinesinoquet Pierre-Fran?ois Marteau https://people.irisa.fr/Pierre-Francois.Marteau/ Pierre Jannin https://medicis.univ-rennes1.fr/members/pierre.jannin/index * * Bibliographical references [BBC15] A. Bondu, M. Boull?, A. Cornu?jols (2015) Symbolic representation of time series: a hierarchical coclustering formalization. In?: International Workshop on Advanced Analysis and Learning on Temporal Data, pp. 3-16. [BLN20] R. Boutalbi, L. Labiod, M. Nadif (2020) Tensor latent block model for co-clustering. International Journal of Data Science and Analytics, 1-15. [CVB07] M. Cuturi, J.-P. Vert, O. Birkenes, T. Matsui (2007) A kernel for time series based on global alignments. In: IEEE International Conference on Acoustics, Seepch and Signal Processing, ICAPPS, vol. 2, pp. II?413?II?416. [CB17] M. Cuturi, M. Blondel (2017) Soft-DTW: a differentiable loss function for time-series. In: International Conference on Machine Learning (ICML), 894-903. [M19a] P.-F. Marteau (2019) Times series averaging and denoising from a probabilistic perspective on time-elastic kernels. International Journal of Applied Mathematics and Computer Science, 29 (2), 375-392. [M19b] P.-F. Marteau (2019) On the separation of shape and temporal patterns in time series. Application to signature authentication. https://hal.archives-ouvertes.fr/hal-02373531v2. [PZ16] V. M. Panaretos, Y. Zemel (2016) Amplitude and phase variation of point processes. The Annals of Statistics, 44(2), 771-812. [SC71] H. Sakoe, S. Chiba (1971) A dynamic programming approach to continuous speech recognition. In: ICA, Paper 20 CI3. [SSV10] L. M. Sangalli, P. Secchi, S. Vantini, and V. Vitelli (2010) k-mean alignment for curve clustering. Computational Statistics and Data Analysis, 54(5), 1219-1233. [XCZ19] D. Xu, W. Cheng, B. Zong et al. (2019) Deep co-clustering. In: SIAM International Conference on Data Mining (SDM), 414-422. Christine Sinoquet http://christinesinoquet.wixsite.com/christinesinoquet Associate Professor with French Habilitation to Supervise Research (2014), Qualified for Full Professor Activities (2015, 2020) Head of the? Master Mention of Bioinformatics of the University of Nantes Head of DUKe Research Group (Data / User / Knowledge) - LS2N (Laboratoire des Sciences du Num?rique de Nantes - Laboratory of Digital Science of Nantes)? / UMR CNRS 6004, https://www.ls2n.fr/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From andreas.wichert at tecnico.ulisboa.pt Mon Oct 24 03:33:51 2022 From: andreas.wichert at tecnico.ulisboa.pt (Andrzej Wichert) Date: Mon, 24 Oct 2022 08:33:51 +0100 Subject: Connectionists: New book "Mind, Brain, Quantum AI, and the Multiverse" Message-ID: Dear All, Recently a new book "Mind, Brain, Quantum AI, and the Multiverse" was published by Chapman and Hall/CRC https://www.routledge.com/Mind-Brain-Quantum-AI-and-the-Multiverse/Wichert/p/book/9781032149608 Maybe it is of some interest to you. Best Wishes, Andreas Wichert -------------------------------------------------------------------------------------------------- Prof. Auxiliar Andreas Wichert http://web.tecnico.ulisboa.pt/andreas.wichert/ - https://www.amazon.com/author/andreaswichert Instituto Superior T?cnico - Universidade de Lisboa Campus IST-Taguspark Avenida Professor Cavaco Silva Phone: +351 214233231 2744-016 Porto Salvo, Portugal -------------- next part -------------- An HTML attachment was scrubbed... URL: From fdlafert at hotmail.com Mon Oct 24 04:01:00 2022 From: fdlafert at hotmail.com (Fabrizio Damicelli) Date: Mon, 24 Oct 2022 08:01:00 +0000 Subject: Connectionists: Python Package: SER model Message-ID: Dear Connectionists, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realm dynamical models and spreading dynamics on networks. "ser": S(usceptible)E(xcited)R(efractory) model on graphs, a dynamical model of spreading excitations. Code Repository: https://github.com/fabridamicelli/ser As of today, a few people already trust it and the package registers >11K total downloads, ~500/month (pypi.org) and has been used already in a few research projects. A few interesting features: - It is light-weight and fast (`numba` accelerated), i.e. many experiments can be simply run on a laptop - Installation and getting started is easy: `pip install ser` - Example notebooks: https://github.com/fabridamicelli/ser/blob/main/examples The SER model is a classical cellular automaton model used to study all sorts of complex systems, ranging from forest fire dynamics to self-organized criticality in the brain. Despite of the simplicity of its setup, it is capable of generating complex emergent dynamics with absolutely non-trivial higher-order statistical properties. To learn more about the SER model and its applications, you might want to check out these references: - Messe et al. (2018). Toward a theory of coactivation patterns in excitable neural networks. doi.org/10.1371/journal.pcbi.1006084 - Haimovici et al. (2013). Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome. doi.org/10.1103/PhysRevLett.110.178101 - Damicelli et al. (2019). Topological reinforcement as a principle of modularity emergence in brain networks. doi.org/10.1162/netn_a_00085 Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/ser/issues). All the best, Fabrizio Damicelli -------------- next part -------------- An HTML attachment was scrubbed... URL: From smgsolinas at uniss.it Mon Oct 24 06:54:09 2022 From: smgsolinas at uniss.it (Sergio Solinas) Date: Mon, 24 Oct 2022 12:54:09 +0200 Subject: Connectionists: PhD openings in computational neuroscience, cognitive science, and Mixed Reality Message-ID: The Theoretical and Computational Neuroscience Laboratory of Paolo Enrico and Sergio Solinas invites applications for a *Doctoral Student* position at UNISS, University of Sassari, ITALY SARDINIA. Research questions span a range of topics in theoretical/computational neuroscience, cognitive science, EEG recordings involving data analysis, brain function theory, neural network simulations using NEURON or NEST and neural activity visualization using mixed reality approaches. This research project is inscribed within the EBRAINS-ITALY PNRR funding schema for Research Infrastructures. Candidates with backgrounds in one or more than one of the following fields are welcome to apply: mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology. Experience with data analysis, proficiency with numerical methods, and familiarity with neuroscience topics and mathematical and statistical methods are desirable. Equally desirable is a curiosity about brain function, a spirit of intellectual adventure, a good social attitude, and sharing and reusing knowledge. The application will open soon. *Please write to both enrico at uniss.it & smgsolinas at uniss.it for details and updates.* If you wish to apply, please send the following information in one single PDF: 1. a short letter of motivation; 2. statement of research interests, limited to two pages; 3. curriculum vit?. In all email correspondence, please mention ?APPLICATION-PHD? in the subject header. The University of Sassari was funded in 1562 and is an active research institution. The city of Sassari a located in the north of Sardinia . The climate is among the best you can find in Europe. The life cost is relatively cheap if compared to Italy's mainland. The island of Sardinia has national and international connection flights from its three airports: Alghero , Olbia , and Cagliari . Best regards, Sergio MG Solinas Dip. di Scienze Biomediche Universit? di Sassari Viale San Pietro 23 07100 - Sassari The NEURON School -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Mon Oct 24 11:35:14 2022 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 24 Oct 2022 11:35:14 -0400 Subject: Connectionists: [CfP] ISWC 2022 Keynotes and Panels will now be broadcasted live! Message-ID: *Virtual 21st International Semantic Web Conference (ISWC 2022)* Hangzhou, China, October 23-27, 2022 https://iswc2022.semanticweb.org/ [image: ?][image: ?][image: ?]Breaking news!!! You asked for it and we heard you[image: ?] Keynotes and Panel discussion would now be broadcasted live [image: ?] No registrations required to join these sessions [image: ?] Joining details can be found here [1] . The conference program could be found here [2] . See you all at the sessions :) Follow us on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf - Instagram: https://www.instagram.com/iswc_conf/ Links: [1] Broadcasting Events ? ISWC 2022 (semanticweb.org) [2] Conference ? ISWC 2022 (semanticweb.org) The ISWC 2022 Organizing Team Organizing Committee ? ISWC 2022 (semanticweb.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.kalfat at gmail.com Mon Oct 24 09:32:22 2022 From: amir.kalfat at gmail.com (Amir Aly) Date: Mon, 24 Oct 2022 14:32:22 +0100 Subject: Connectionists: [meetings] CRNS Talk Series (9) - Live Talk by Dr. Silvia Rossi - University of Naples "Federico II" - Italy Message-ID: Dear All * *Apologies for cross-posting** The* Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Dr. **Silvia Rossi* from the* University of Naples "Federico II"* - Italy on Wednesday, *November 2nd *from *11:00 am *to *12:30 pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to healthcare. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/95059484873?pwd=ZzZoRm1YL1lzMmI0SlZ1TVJPT21GQT09&from=addon Join our Cloud HD Video Meeting Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars across mobile, desktop, and room systems. Zoom Rooms is the original software-based conference room solution used around the world in board, conference, huddle, and training rooms, as well as executive offices and classrooms. Founded in 2011, Zoom helps businesses and organizations bring their teams together in a frictionless environment to get more done. Zoom is a publicly traded company headquartered in San Jose, CA. plymouth.zoom.us >> *Title of the talk*: *Behavioral Adaptation and Transparency in HRI* *Abstract*: To effectively collaborate with people, robots are expected to detect and profile the users they are interacting with and modify and adapt their behavior according to the learned models. Many research challenges for personal robotics are related to the need for a high degree of personalization of the robot's behavior to the specific user?s needs and preferences. It is crucial to investigate how robots can better adjust to their human interaction partners and how the behavior of a robot can be personalized based on the user?s characteristics such as personality and cognitive profile, and their dynamic changes. However, in practice, it is not just a matter of performing an interaction task correctly, but mainly of performing such tasks in a way that is socially acceptable to humans. The more robots become adaptive and flexible, the more their behaviors need to be transparent. When interacting with complex intelligent artifacts, humans inevitably formulate expectations to understand and predict their behaviors. Indeed, robots? behaviors should be self-explanatory so that users can be confident in their knowledge of what these systems are doing and why. In this talk, we will present and discuss several topics connected to adaptivity in robot behavior and the need for legibility and transparency. >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From i.lin at ucl.ac.uk Tue Oct 25 06:37:03 2022 From: i.lin at ucl.ac.uk (Lin, I-Chun) Date: Tue, 25 Oct 2022 10:37:03 +0000 Subject: Connectionists: Upcoming Faculty Opening in Theoretical Neuroscience Message-ID: The Gatsby Computational Neuroscience Unit intends to recruit one Principal Investigator in Theoretical Neuroscience at any academic rank (UCL grades 8 to 10; Lecturer/Group Leader-level to Professorial). We seek candidates who focus on the mathematical underpinnings of adaptive intelligent behaviour in animals or develop mathematical tools and models to understand how neural circuits and systems function. We are particularly interested in researchers who are well placed to take advantage of collaborations within the unit; with our sister institute, the Sainsbury Wellcome Centre for Neural Circuits and Behaviour; and elsewhere at UCL. Gatsby faculty members pursue and develop their own lines of research within the broad remit of the unit?s focus on the mathematical principles of learning, perception and action in brains and machines. For an overview of our current work, please see www.ucl.ac.uk/gatsby/research-0. We maintain a singular and cohesive research culture, emphasising interaction and collaboration both within the unit and beyond. Our faculty members teach and supervise at graduate level, primarily as part of the unit?s international PhD programme. We encourage informal enquiries about this upcoming position. Interest from women and those from an ethnic minority background is particularly welcome, as they are under-represented within UCL at these levels. Please direct enquiries to I-Chun Lin (Scientific Programme Manager, i.lin at ucl.ac.uk). We will be best placed to respond to enquiries that include a short CV and a brief sketch of research interests. www.ucl.ac.uk/gatsby/vacancies -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL www.ucl.ac.uk/gatsby | @GatsbyUCL -------------- next part -------------- An HTML attachment was scrubbed... URL: From loizos at ouc.ac.cy Tue Oct 25 06:27:04 2022 From: loizos at ouc.ac.cy (Loizos Michael) Date: Tue, 25 Oct 2022 10:27:04 +0000 Subject: Connectionists: Adjunct Faculty positions at Open University of Cyprus Message-ID: <1666693624596.68596@ouc.ac.cy> Dear colleagues, The Open University of Cyprus is looking for Adjunct Faculty members for the following two courses offered as part of the M.Sc. in Cognitive Systems program of studies (https://www.ouc.ac.cy/index.php/en/studies/master/cos): COS524: "Natural Language Processing" (spring semester) COS613: "Cognitive Agents and Reasoning" (fall semester) Courses are offered in English, through a distance-learning methodology. Details about the application process are here: https://www.ouc.ac.cy/index.php/en/news-events/news/2595-sepx2022 Regards, Loizos -------------- next part -------------- An HTML attachment was scrubbed... URL: From sanjay.ankur at gmail.com Tue Oct 25 07:26:05 2022 From: sanjay.ankur at gmail.com (Ankur Sinha) Date: Tue, 25 Oct 2022 12:26:05 +0100 Subject: Connectionists: INCF/OCNS SoftwareWG Dev session: Denis Alevi: Brian2CUDA: November 3, 2022, 1600 UTC over Zoom Message-ID: <20221025112605.qjpbnjfynhoqfsre@raam> Dear all, Please join us for our next dev session on Brian2CUDA: https://ocns.github.io/SoftwareWG/2022/10/18/dev-session-denis-alevi-brian2cuda.html Denis Alevi will introduce the Brian2CUDA tool in this session, and discuss its development. We will also have a discussion on GPU based simulation in neuroscience after the presentation. - Date: Thursday, November 3, 2022, 1600 UTC (Click here to see your local time: https://www.timeanddate.com/worldclock/fixedtime.html?msg=Dev+session%3A+Denis+Alevi+Brian2CUDA&iso=20221103T16&p1=136&ah=1). - Location (Zoom, login required): https://ucl.zoom.us/j/95692778384?pwd=VldIQ3hPTU1zczNpYjQxSSt4Z25xdz09 The abstract for the talk is below: Graphics processing units (GPUs) are widely available and have been used with great success to accelerate scientific computing in the last decade. These advances, however, are often not available to researchers interested in simulating spiking neural networks, but lacking the technical knowledge to write the necessary low-level code. Writing low-level code is not necessary when using the popular Brian simulator, which provides a framework to generate efficient CPU code from high-level model definitions in Python. Here, we present Brian2CUDA, an open-source software that extends the Brian simulator with a GPU backend. Our implementation generates efficient code for the numerical integration of neuronal states and for the propagation of synaptic events on GPUs, making use of their massively parallel arithmetic capabilities. We benchmark the performance improvements of our software for several model types and find that it can accelerate simulations by up to three orders of magnitude compared to Brian?s CPU backend. Currently, Brian2CUDA is the only package that supports Brian?s full feature set on GPUs, including arbitrary neuron and synapse models, plasticity rules, and heterogeneous delays. When comparing its performance with Brian2GeNN, another GPU-based backend for the Brian simulator with fewer features, we find that Brian2CUDA gives comparable speedups, while being typically slower for small and faster for large networks. By combining the flexibility of the Brian simulator with the simulation speed of GPUs, Brian2CUDA enables researchers to efficiently simulate spiking neural networks with minimal effort and thereby makes the advancements of GPU computing available to a larger audience of neuroscientists. References: - Publication: Brian2CUDA: flexible and efficient simulation of spiking neural network models on GPUs: https://www.frontiersin.org/articles/10.3389/fninf.2022.883700/abstract - Documentation: https://brian2cuda.readthedocs.io/en/latest/ - Source code: https://github.com/brian-team/brian2cuda We hope to see you there. On behalf of the INCF/OCNS Software working group, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London From axel.hutt at inria.fr Tue Oct 25 10:48:31 2022 From: axel.hutt at inria.fr (Axel Hutt) Date: Tue, 25 Oct 2022 16:48:31 +0200 (CEST) Subject: Connectionists: Connectionist : Neuromodulation by Digital and Analogue Drugs in Consciousness Research Message-ID: <711084299.3985219.1666709311494.JavaMail.zimbra@inria.fr> Dear all, a final deadline extension to February 1, 2023 applies to the Frontiers Research Topic ############################################################### Neuromodulation by Digital and Analogue Drugs in Consciousness Research ############################################################### web site: https://www.frontiersin.org/research-topics/29684/neuromodulation-by-digital-and-analogue-drugs-in-consciousness-research Neuromodulation attracts increasing attention in today?s pre-clinical and clinical practice. It includes diverse medical procedures such as neurostimulation, general anesthesia, or drug treatments for mental disorders. These procedures are known to affect and even control the patient?s state of consciousness. Stimulations generated externally by electronic devices are known as Digital Drugs. Conversely, chemical and thus non-digital drugs are important elements in medical treatment of, e.g. mental disorders. Moreover, they serve as general anesthetics in todays' hospital practice, reversibly impairing the level of consciousness to allow surgery to occur. Interestingly, in certain cases, their neural actions resemble Digital Drug actions, although their origin and neurophysiological action is different. By virtue of both their similarity and difference to Digital Drugs, we call them Analogue Drugs. Well-known pairs of Digital and Analogue Drugs are visual flicker and psychedelic drugs (which both induce hallucinations) and isochronic auditory beats and anesthetics (with both inducing sedation). This Research Topic aims to address recent theoretical and experimental advances in neuromodulation of consciousness by Digital and Analogue Drugs. The theoretical and experimental studies represent a good overview of the current state of research in the respective research branch and may provide a deeper insight into the corresponding underlying neural action. This issue attempts to cover diverse types of (but not limited to) neurostimulation, general anesthesia, and drug treatment of mental disorders. Guest Editors: D. Hight, University Hospital Bern, Switzerland A. Hudetz, University of Michigan, USA A. Hutt, INRIA Nancy Grand Est, France -- Axel Hutt Directeur de Recherche Equipe MIMESIS INRIA Nancy Grand Est B?timent IHU 1, Place de l'Hopital 67000 Strasbourg, France https://mimesis.inria.fr/members/axel-hutt/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.goodhill at wustl.edu Tue Oct 25 20:07:07 2022 From: g.goodhill at wustl.edu (Goodhill, Geoffrey) Date: Wed, 26 Oct 2022 00:07:07 +0000 Subject: Connectionists: Faculty positions at Washington University in St Louis Message-ID: Electrical & Systems Engineering: Tenure-Track Faculty Positions Washington University in St Louis https://apply.interfolio.com/114838 The Electrical and Systems Engineering department at Washington University in St. Louis invites applications for multiple tenure-track faculty positions with an effective start date on or after July 1, 2023. Candidates should have earned a Ph.D. or equivalent degree in electrical engineering, systems engineering, computer engineering or a closely related discipline. Washington University is a highly-selective national research university with a strong tradition of research excellence. The University?s strategic plan, released in 2022, seeks growth of top-tier research, scholarship, and creative practice with an emphasis on transdisciplinary and cross-school research. Included in this plan are foci related to applications in medicine, public health, infrastructure, and addressing pressing societal challenges. Accordingly, we seek both junior and senior applicants who will contribute to research efforts across ESE, including in several emphasis areas: information and decision systems, including autonomous systems and human-machine interaction network science, including social systems and large-scale data analysis imaging science, including signal processing and computational imaging engineering brain science, including theory, models and methods for brain-inspired computation and for measuring and manipulating neural circuits quantum sensing and imaging, including science and technology for detection and estimation beyond classical physics. Candidates interested in this area are encouraged to note University-wide growth in quantum technology at https://quantumleaps.wustl.edu/. Candidates may apply to the quantum cluster search in addition to the ESE search. Equity, diversity and inclusion are core values at Washington University, and candidates will need to demonstrate the ability to create inclusive classrooms and environments in which a diverse array of students can learn and thrive. Candidates who will contribute to the diversity of the department are strongly encouraged to apply. Successful applicants will have a primary appointment in the department of Electrical and Systems Engineering (ese.wustl.edu) with the possibility of joint appointments in other departments. The faculty member will be expected to teach undergraduate and graduate courses in electrical and systems engineering, participate in university service, and establish a thriving externally-funded research program. Faculty positions are open for all levels. Applications should include: (1) a cover letter that identifies the candidate?s three most significant publications and describes their interest in the position; (2) a curriculum vitae; (3) a research plan for the next five years that should not exceed three pages, and should highlight the problem(s) or set of questions to be investigated, the envisioned approach, a mentoring strategy, and the proposed funding sources; (4) a statement of teaching interests and philosophy; (5) a statement describing contributions to and future plans for enhancing equity, diversity and inclusion; and (6) a list of at least three references to (https://apply.interfolio.com/114838). Priority will be given to completed applications (including submitted reference letters) received before December 15, 2022. However, applications will be accepted at any time and will be considered until the positions are filled. Professor Geoffrey J Goodhill Departments of Neuroscience, Developmental Biology, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University in St Louis 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 sahar.moghimi at u-picardie.fr Tue Oct 25 15:57:06 2022 From: sahar.moghimi at u-picardie.fr (Sahar Moghimi) Date: Tue, 25 Oct 2022 21:57:06 +0200 Subject: Connectionists: Re Two 3-year post-doc positions Amiens/Dijon, France: neurodevelopment and rhythm processing Message-ID: <20221025215706.Horde.slXInNyCRp3VvB_2zIaD74V@webmail.u-picardie.fr> Bonjour, My colleague and I would like to send an announcement to the list of subscribers announcing an opening for two post-doctoral positions in Amiens and Dijon, in France. The announcement is attached. Would it be possible to send this announce to the subscriber so that it might reach the interested researchers? Thank you for your help. Sincerely, Sahar Moghimi Sahar Moghimi (Prof) GRAMFC, Inserm U1105 Universit? de Picardie Jules Verne ----- Fin du message transf?r? ----- -------------- next part -------------- An embedded message was scrubbed... From: Sahar Moghimi Subject: Re Two 3-year post-doc positions Amiens/Dijon, France: neurodevelopment and rhythm processing Date: Tue, 25 Oct 2022 16:57:32 +0200 Size: 307158 URL: From rbianchi at fei.edu.br Tue Oct 25 12:36:00 2022 From: rbianchi at fei.edu.br (Reinaldo A. C. Bianchi) Date: Tue, 25 Oct 2022 16:36:00 +0000 Subject: Connectionists: Call for Participation - RoboCup 2023 Humanoid Soccer Competition (corrected) Message-ID: * Call for Participation * RoboCup 2023 Humanoid Soccer Competition https://humanoid.robocup.org/ July 06 - 09, 2023, Bordeaux, France =========================================================== The RoboCup Humanoid League invites teams to apply for participation at the RoboCup 2023 Humanoid Soccer Competition and the Humanoid Research Demonstration in Bordeaux, France. The Humanoid League will host competitions in the following categories: * Humanoid Soccer Competition * KidSize: 40 - 100cm robot height (FIFA size 1 ball) * AdultSize: 130 - 200cm robot height (FIFA size 5 ball) * Humanoid Research Demonstration In addition, we may organize a Humanoid Open Competition with a CfP following later this year. For more detailed class definitions and more information about the humanoid league, please refer to the humanoid league home page at https://humanoid.robocup.org/ and join the humanoid league mailing list at: https://lists.robocup.org/listinfo/robocup-humanoid Teams are also encouraged to form and apply as joint teams. Joint proposals will be judged on their combined merit. Teams must provide the following qualification material: 1) Humanoid Soccer Competition ======================================= You do not need to provide a full robot team to apply for competing in the Humanoid Soccer Competition. The qualifying round of Drop-In games will be played with only one robot per team. Teams that cannot provide a full team of robots (four robots in KidSize and two in AdultSize) will be grouped to form a playable team for the main tournament games. In case of a sufficient number of qualified teams, the sub-leagues (KidSize and/or AdultSize) will be divided into League A and League B. Teams are seeded into the leagues based on the results of an initial round of Drop-In games. Each application to the Humanoid Soccer Competition will be reviewed by two members of the Technical Committee and two other teams applying to the Humanoid Soccer Competition. The combined reviewing score will decide whether a team qualifies for participation. Reviewing other team's material is mandatory for teams that want to participate in the Humanoid Soccer Competition. Failing to provide an adequate review by the provided deadline will have consequences for the teams own qualification status. 1.1) Robot Video --------------------------------------- Teams need to provide a video of their robot demonstrating the robots' autonomous soccer playing skills. The recommended skills needed for qualification are: * localization of unknown ball position, * walking ability towards the ball, * robot positioning at the ball for kicking, * kicking the ball towards the goal, * ability of getting up autonomously from a fall (KidSize only) We encourage teams to include in the video more complex and intelligent behavior such as demonstrating localization, and robots playing in a game, recordings from actual soccer matches are admissible. If possible, please provide footage that demonstrates the robot behavior without wires attached. The qualification video must be supplied as a link via YouTube. The maximum duration of the video must not exceed 5 minutes. The qualifying team is responsible to ensure that the video adheres to YouTube's TOS (especially in regard to music copyright) to prevent the video from being blocked for the reviewers. Teams that do not provide a qualification video or a viewable video will not be qualified! 1.2) Software Description --------------------------------------- During the registration process, a form will be provided to submit details about the algorithms used or anticipated to be used for the participation in the 2023 competition. Algorithms shall be described in such detail that they can be reproduced by other teams. If software from other teams or standard algorithms are used, references need to be included. If the algorithm has been adapted to be used in the competition, those deviations need to be described in appropriate details. The form will include questions in the following areas: * Walking * Vision * Localization * Team Communication * Behavior * Contributions to the RoboCup community, e.g. software releases, paper publications, provision of league infrastructure or data sets Responses to the questions are expected to reflect the current or anticipated status of the software during the RoboCup 2023 competition. If the software has not changed or no changes are anticipated to be made until the competition, teams may copy & paste a response from previously submitted material. 1.3) Extended Abstract --------------------------------------- A two-page extended abstract must be submitted. For teams which have previously participated in the Humanoid League, the extended abstract needs to: * include lessons learned from the participation in previous RoboCup competitions * highlight major problems that the team is trying to solve for the upcoming competition * outline the plans for the major changes that the teams anticipate to have implemented by the RoboCup 2023 competition * describe the implementation status of the changes planned by the time of submitting the application For teams which have never participated in the RoboCup Humanoid League, the Extended Abstract needs to pitch the scientific aspects of their humanoid robotic system and highlight their research interests. The Extended Abstract is limited to 2 pages maximum and must be submitted in PDF format. Extended Abstracts are designed to highlight the changes and scientific developments since the last RoboCup. Thus, we expect the usage of material from previous TDPs or Extended Abstracts to be minimal. If used, they need to be cited appropriately. Submissions of last year's Extended Abstract will be desk-rejected. The Extended Abstract must follow the LNCS format which can be downloaded from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Teams that do to follow the LNCS formatting and style guidelines will not be qualified. No exceptions to this rule will be made. 1.4) Robot Specification --------------------------------------- Regardless of the kid or adult size competition, a one-page specification (PDF) must be provided for each different type of humanoid robot used by the team that includes the following: * Robot picture * Robot name * Height of the robot * Weight of the robot * Walking speed in cm/s * Number of degrees of freedom and type of motors on each kinematic chain of the robot * Type of sensors used (incl. type of camera(s) and specific manufacturer part number (e.g. ?6-DoF IMU? is NOT an acceptable description)) * Computing unit(s) * Materials (e.g. Torso aluminum, legs and arms CFRP) * Electronics (e.g. CM730 for communicating with servos) * Battery (e.g. 3S1P 2200mAh LiPo) * Open Source link if applicable * Other specs 1.5) Rules --------------------------------------- The current version of the rules may be found here at the Humanoid League website: https://humanoid.robocup.org/materials/rules/. We expect the final version of the 2023 rules to be published in early spring 2023. 1.6) Registration --------------------------------------- The following information is required for registration: * Team name * URL of the team's home page * Name of team leader or team contact person * E-mail address of team leader or contact person * Postal address of the team, team leader or contact person * Competition category: Humanoid Soccer Competition KidSize or AdultSize Please note that teams applying for participation in several categories must submit individual application material for each class, and pay the appropriate registration fee for each category. At least one team member must register on each team. Furthermore, teams in different categories must be able to compete, and guarantee to have members acting as referees available independently and at the same time. 1.7) Letter of Commitment --------------------------------------- Regardless of the specific competition, a one-page letter addressed to the RoboCup Humanoid League Technical Committee including the following: * a statement committing to participate in the RoboCup 2023 Humanoid League competition, * a statement committing to make a person with sufficient knowledge of the rules available as referee during the competition. The letter must be printed, hand signed by the team leader, digitally scanned and submitted either as a JPG, PNG or PDF file. If the letter does not contain a hand-written signature, it is not considered valid. The TC may include the fulfillment of the statement of commitment of participation as well as the performance of the team's referee in previous RoboCup competitions into consideration for qualification. 2. Humanoid Research Demonstration (HRD) ======================================= The RoboCup Humanoid League invites the research community to apply for showcasing the latest research and development results that are relevant for humanoid robots. Researchers are invited to submit their demonstrations independently of whether they participate in the RoboCup competitions, symposium or have a RoboCup team. Contributions will be evaluated for scientific and technical excellence. 2.1. Topics of Interest --------------------------------------- We welcome demonstrations containing new ideas, concepts, practical studies, and experiment demonstrations relevant to the field of Humanoid Robotics. Topics of interest include, but are not limited to: * Components, joints and mechanics; * Soft robotics; * Anthropomorphic vs. non-anthropomorphic; * Walking, running, jumping and other humanoid locomotion; * Adaptability and scalability; * Sensors and perception; * Control and stability; * Dealing with falling; * Reflexes and learning; * Energy supply and efficiency; * Robot design and robotic kits; * Virtual robots and simulation; * Benchmarking; * Bipedal robots applied to real problems; * Education with and for humanoid robots. 2.2. Procedure --------------------------------------- The Humanoid Research Demonstration will take place in one or several sessions and participating teams are asked to show a demonstration of the system live in Bordeaux or stream their demonstration from their lab during the session. As a back-up solution, each team needs to provide a video demonstration prior to the beginning of the tournament. If the demonstration is performed in Bordeaux, the Humanoid League will provide a humanoid league soccer playing field for the demonstration. However, the members of the Technical Committee of the Humanoid League understand that for some demonstrations this setup may not be ideal and will try to accommodate all teams. If a team requires other arrangements for the demonstration, it must submit a request to the Technical Committee at least 3 months before the competition to allow sufficient time for alternative arrangements. 2.3. Application --------------------------------------- We invite teams to apply to participate in the Humanoid Research Demonstration by submitting the following material: 2.3.1. Demonstration Data * Demonstration title; * URL of the group?s home page; * Name of the contact person; * E-mail address of the contact person; * Postal address of the contact person. 2.3.2. Demonstration Video The first part of the material is a video of your robot or robotic part demonstrating its skills or a brief overview of the software demonstration if your demonstration does not involve a physical embodiment. The video must be supplied as a link to it via YouTube. The maximum duration of the video is 3 minutes. The proponent is responsible to ensure that the video adheres to YouTube?s TOS (especially in regard to music copyright) to prevent the video from being blocked for the reviewers. 2.3.3. Hardware Specification If the demonstration includes any type of hardware to be showcased, a one-page specification (PDF) for each different type of humanoid type robot/mechanism used that includes the following: * Robot/mechanism picture; * Robot/mechanism name; * Size of the humanoid type robot/mechanism; * Weight of the robot/mechanism; * Robots/mechanisms joint specification; * Type of sensors used (incl. type of camera(s)); * Computing unit(s); * Other specifications 2.3.4. Short paper A short paper describing the robot, robot part of software and its task and required environment, limited to four (4) pages including text, references, tables, and figures. The short paper must follow the LNCS format which can be downloaded from http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0. Please pay special attention to the ?Author guidelines? that you?ll be able to find there. 3) Plagiarism ======================================= Plagiarism, loosely the unattributed use of other peoples' words, code, and ideas is not tolerated in the RoboCup community. See the point ?Publishing Ethics? at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines for a more detailed description. The teams and team members that plagiarize other peoples' work and present it as their own will be disqualified. For a first offense, the team and team members will be banned from RoboCup competition for two years (usually the current and next year). Harsher penalties will be applied to repeat offenders or extremely serious cases of plagiarism. A team may be disqualified at any time for plagiarism, even after the competition has started. RoboCup will not reimburse teams for any expenses related to their disqualification. 4) Online Submission ======================================= All qualification material must be submitted online at https://submission.robocuphumanoid.com 5) Important Dates ======================================= Humanoid Soccer Competition * Submission system open: November 20th, 2022 * Submission deadline: December 11th, 2022 * Team Review Period: December 12th - December 23rd * Announcement of qualified teams: January 23rd, 2023 Humanoid Research Demonstration * Submission system open: November 20th, 2022 * Submission deadline: April 2nd, 2023 6) Publication ======================================= Please note that after the announcement of the qualified teams the qualified teams submitted material will be made publicly available on the Humanoid League website. Teams applying for participation, therefore, implicitly grant the right of publication of their qualification material to the Humanoid League. 7) Visa Process ======================================= If you are a citizen of a country that needs a Visa for traveling to France, please start the VISA process as soon as you receive your notification of qualification. If you are not sure if you're eligible for a VISA-exempt, please consult the official website of the France government for information, at https://france-visas.gouv.fr/en/web/france-visas/welcome-page. With best regards, Technical Committee of RoboCup Humanoid League 2022 Esta mensagem, juntamente com qualquer outra informa??o anexada, ? confidencial e protegida por lei. Somente os seus destinat?rios est?o autorizados a us?-la. Se voc? n?o for o destinat?rio, por favor, informe o remetente e, em seguida, apague a mensagem, observando que n?o h? autoriza??o para usar, copiar, armazenar, encaminhar, imprimir ou tomar qualquer a??o baseada no seu conte?do. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Tue Oct 25 18:49:37 2022 From: cgf at isep.ipp.pt (Carlos) Date: Tue, 25 Oct 2022 23:49:37 +0100 Subject: Connectionists: [CFP - SAC 2023] Data Streams track: Paper deadline extension (10/31/2022) Message-ID: ------------------------------------------------------------ ACM SAC Data Streams Track 2023 The deadline for submission of regular papers and SRC research abstracts is extended to: *** October 31st 2022 (final extension)! *** Please submit at: https://www.sigapp.org/sac/sac2023/index.html ------------------------------------------------------------ Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From hugo.o.sousa at inesctec.pt Tue Oct 25 10:40:08 2022 From: hugo.o.sousa at inesctec.pt (Hugo Oliveira Sousa) Date: Tue, 25 Oct 2022 14:40:08 +0000 Subject: Connectionists: =?windows-1252?q?Text2Story=40ECIR=9223_Call_for_?= =?windows-1252?q?Participation?= Message-ID: <5287c0e0830c4915a46e79cb188ca0f5@inesctec.pt> *** Apologies for cross-posting *** ++ CALL FOR PAPERS ++ **************************************************************************** Sixth International Workshop on Narrative Extraction from Texts (Text2Story'23) Held in conjunction with the 45th European Conference on Information Retrieval (ECIR'23) April 2nd, 2023 - Dublin, Ireland Website: https://text2story23.inesctec.pt **************************************************************************** ++ Important Dates ++ - Submission deadline: January 23rd, 2023 - Acceptance Notification Date: March 3rd, 2023 - Camera-ready copies: March 17th, 2023 - Workshop: April 2nd, 2023 ++ Overview ++ Recent years have shown a stream of continuously evolving information making it unmanageable and time-consuming for an interested reader to track and process and to keep up with all the essential information and the various aspects of a story. Automated narrative extraction from text offers a compelling approach to this problem. It involves identifying the sub-set of interconnected raw documents, extracting the critical narrative story elements, and representing them in an adequate final form (e.g., timelines) that conveys the key points of the story in an easy-to-understand format. Although, information extraction and natural language processing have made significant progress towards an automatic interpretation of texts, the problem of automated identification and analysis of the different elements of a narrative present in a document (set) still presents significant unsolved challenges ++ List of Topics ++ In the sixth edition of the Text2Story workshop, we aim to bring to the forefront the challenges involved in understanding the structure of narratives and in incorporating their representation in well-established models, as well as in modern architectures (e.g., transformers) which are now common and form the backbone of almost every IR and NLP application. It is hoped that the workshop will provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task. To this regard, we encourage the submission of high-quality and original submissions covering the following topics: * Narrative Representation Models * Story Evolution and Shift Detection * Temporal Relation Identification * Temporal Reasoning and Ordering of Events * Causal Relation Extraction and Arrangement * Narrative Summarization * Multi-modal Summarization * Automatic Timeline Generation * Storyline Visualization * Comprehension of Generated Narratives and Timelines * Big Data Applied to Narrative Extraction * Personalization and Recommendation of Narratives * User Profiling and User Behavior Modeling * Sentiment and Opinion Detection in Texts * Argumentation Analysis * Bias Detection and Removal in Generated Stories * Ethical and Fair Narrative Generation * Misinformation and Fact Checking * Bots Influence * Narrative-focused Search in Text Collections * Event and Entity importance Estimation in Narratives * Multilinguality: Multilingual and Cross-lingual Narrative Analysis * Evaluation Methodologies for Narrative Extraction * Resources and Dataset Showcase * Dataset Annotation for Narrative Generation/Analysis * Applications in Social Media (e.g. narrative generation during a natural disaster) * Language Models and Transfer Learning in Narrative Analysis * Narrative Analysis in Low-resource Languages ++ Dataset ++ We challenge the interested researchers to consider submitting a paper that makes use of the tls-covid19 dataset (published at ECIR'21) under the scope and purposes of the text2story workshop. tls-covid19 consists of a number of curated topics related to the Covid-19 outbreak, with associated news articles from Portuguese and English news outlets and their respective reference timelines as gold-standard. While it was designed to support timeline summarization research tasks it can also be used for other tasks including the study of news coverage about the COVID-19 pandemic. A script to reconstruct and expand the dataset is available at https://github.com/LIAAD/tls-covid19. The article itself is available at this link: https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33 ++ Submission Guidelines ++ We invite two kinds of submissions: * Full papers (up to 7 pages + references): Original and high-quality unpublished contributions on the theory and practical aspects of the narrative extraction task. Full-papers should introduce existing approaches, describe the methodology and the experiments conducted in detail. Negative result papers to highlight tested hypotheses that did not get the expected outcome are also welcomed. * Work in progress, demos and dissemination papers (up to 4 pages + references): unpublished short papers describing work in progress; demo and resource papers presenting research/industrial prototypes, datasets or software packages; position papers introducing a new point of view, a research vision or a reasoned opinion on the workshop topics; and dissemination papers describing project ideas, ongoing research lines, case studies or summarized versions of previously published papers in high-quality conferences/journals that is worthwhile sharing with the Text2Story community, but where novelty is not a fundamental issue. Submissions will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they don't conflict with previous publication rights. ++ Workshop Format ++ Participants of accepted papers will be given 15 minutes for oral presentations. ++ Organizing committee ++ Ricardo Campos (INESC TEC; Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar, Tomar, Portugal) Al?pio M. Jorge (INESC TEC; University of Porto, Portugal) Adam Jatowt (University of Innsbruck, Austria) Sumit Bhatia (Media and Data Science Research Lab, Adobe) Marina Litvak (Shamoon Academic College of Engineering, Israel) ++ Proceedings Chair ++ Jo?o Paulo Cordeiro (INESC TEC & Universidade da Beira do Interior) Concei??o Rocha (INESC TEC) ++ Web and Dissemination Chair ++ Hugo Sousa (INESC TEC & University of Porto) Behrooz Mansouri (Rochester Institute of Technology) ++ Program Committee ++ ?lvaro Figueira (INESC TEC & University of Porto) Andreas Spitz (University of Konstanz) Antoine Doucet (Universit? de La Rochelle) Ant?nio Horta Branco (University of Lisbon) Arian Pasquali (CitizenLab) Bart Gajderowicz (University of Toronto) Brenda Santana (Federal University of Rio Grande do Sul) Bruno Martins (IST & INESC-ID, University of Lisbon) Daniel Loureiro (Cardiff University) Dennis Aumiller (Heidelberg University) Dhruv Gupta (Norwegian University of Science and Technology) Dyaa Albakour (Signal UK) Evelin Amorim (INESC TEC) Henrique Cardoso (INESC TEC & University of Porto) Ismail Altingovde (Middle East Technical University) Jo?o Paulo Cordeiro (INESC TEC & University of Beira Interior) Kiran Bandeli (Walmart Inc.) Luca Cagliero (Politecnico di Torino) Ludovic Moncla (INSA Lyon) Marc Finlayson (Florida International University) Marc Spaniol (Universit? de Caen Normandie) Moreno La Quatra (Politecnico di Torino) Nuno Guimar?es (INESC TEC & University of Porto) Pablo Gamallo (University of Santiago de Compostela) Pablo Gerv?s (Universidad Complutense de Madrid) Paulo Quaresma (Universidade de ?vora) Paul Rayson (Lancaster University) Ross Purves (University of Zurich) Satya Almasian (Heidelberg University) S?rgio Nunes (INESC TEC & University of Porto) Simra Shahid (Adobe's Media and Data Science Research Lab) Udo Kruschwitz (University of Regensburg) ++ Contacts ++ Website: https://text2story23.inesctec.pt For general inquiries regarding the workshop, reach the organizers at: text2story2023 at easychair.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahar.moghimi at u-picardie.fr Wed Oct 26 04:19:58 2022 From: sahar.moghimi at u-picardie.fr (Sahar Moghimi) Date: Wed, 26 Oct 2022 10:19:58 +0200 Subject: Connectionists: Two 3-year post-doc positions Amiens/Dijon, France: neurodevelopment and rhythm processing Message-ID: <20221026101958.Horde.02FQyoZfbFOJ8hNIZe2-upv@webmail.u-picardie.fr> Two 3-year post-doc positions are available within the research project PreMusic, funded by the French National Research Agency ANR. This project aims is to evaluate the impact of early musical interventions in the NICU on preterm infants? development, starting from 28 weeks gestational age up until 18 months. In this longitudinal study, we will evaluate the development of auditory rhythm processing capacities with EEG and behavioral tasks and other aspects of cognitive development. The project consortium involves four academic partners with complementary expertise in early neurodevelopment, neural data processing (in particular EEG), cognitive neurosciences of music and music analysis. The positions will be with Sahar Moghimi in Amiens (INSERM U1105) and with Barbara Tillmann in Dijon (LEAD-UMR5022), starting around March 2023, and both will be in collaboration with Laurel Trainor (McMaster University, Canada). The post-docs will work together and in collaboration with the other consortium members. ------------------------------------------ 1) Amiens (https://gramfc.u-picardie.fr/) The post-doc will be fully dedicated to extracting the EEG correlates of rhythm processing in the course of development, aiming to evaluate the impact of musical interventions on neurodevelopment. Required: PhD in neuroscience, biomedical engineering, computer science, or related fields, strong background in neural signal processing, advanced skills with scripting languages, such as Matlab or Python, research experience in EEG signal processing/modeling Preferable: knowledge in the field of neurosciences of music and/or auditory perception, French fluency 2) Dijon (http://leadserv.u-bourgogne.fr/en) The post-doc will be mainly in charge of the longitudinal testing program aiming to evaluate the impact of the musical interventions on the rhythmic, cognitive and social development of the preterm infants. Required: PhD in developmental psychology, cognitive neurosciences or neuropsychology; research experience in developmental science, strong motivation for team work; statistical and programming skills Preferable: knowledge in the field of neurosciences of music and/or auditory perception, prior experience with EEG, French fluency. All applications should include a CV, a cover letter specifying research interests and motivation, and contact details for two referees. Post-doc applications should be sent to either sahar.moghimi at u-picardie.fr (position in Amiens) or barbara.tillmann at cnrs.fr (position in Dijon). Applications will be evaluated as they come in, and the positions will be open until filled. From director.cbr at iisc.ac.in Wed Oct 26 06:15:50 2022 From: director.cbr at iisc.ac.in (Director CBR) Date: Wed, 26 Oct 2022 10:15:50 +0000 Subject: Connectionists: CBR Young Researchers Meetings (online) for faculty and postdoctoral positions, 29 and 31 Oct 2022 Message-ID: Dear Members of Connectionists, Greetings from the Centre for Brain Research (CBR), an autonomous research centre located in the Indian Institute of Science (IISc) campus, Bangalore. Established in 2014 through an exemplary endowment from the Pratiksha Trust (founded by Dr Kris Gopalakrishnan and Mrs Sudha Gopalakrishnan), the Centre conducts cutting-edge transformative research on normal and pathological aging of the brain. With the mission of preserving cognitive functions during aging, the research and innovation activities of CBR are centred on discovering scientific methods for early diagnosis, prevention, postponement, evidence-based interventions, and effective management of neurodegenerative diseases affecting the elderly population (www.cbr.iisc.ac.in). Embedded in the dynamic and stimulating research ecosystem of IISc, CBR spearheads interdisciplinary research spanning clinical studies, imaging, cognition, molecular neuroscience, genetics, omics, and computational methods including data science and machine learning techniques. In addition to a generous grant from the donors, CBR receives research grants for specific projects from several granting agencies such as the Tata Trusts, Fidelity Foundation, SKAN Research Trust, DBT/Wellcome Trust India Alliance, and the Government of India?s Departments. CBR is looking for exceptionally motivated, bright, and committed individuals with a demonstrated record of high-quality research and a keen interest in innovative, interdisciplinary, and mission-oriented research on brain aging and neurodegeneration for faculty and postdoctoral positions in its thrust areas: ? Clinical neuroscience, neuropsychiatry, neuropsychology, behavioural neurology, geriatric medicine, neuroimaging, and related areas, particularly to study neurocognitive disorders from the perspectives of biomarker identification, risk detection and reduction, and evidence-based interventions. ? Computational neuroscience, computational genomics, AIML methods, statistics, data science, and related areas ? Cellular and molecular mechanisms underlying brain aging and neurodegeneration CBR invites applications from citizens of India as well as from individuals who are not citizens of India (with or without the Overseas Citizens of India [OCI] status). CBR promotes diversity among its faculty. We particularly encourage women candidates to apply. CBR is planning to hold online interactive sessions (details below) with prospective faculty and postdoctoral candidates desirous of knowing more about the vision and activities of the Centre and the exciting opportunities it offers. Each meeting will include an hour of presentations by the CBR leadership and faculty members, followed by a highly interactive session (ask any question) with the prospective candidates. Young Researchers Meeting 1 29 October 2022, Saturday, 8 to 10 PM IST *Young Researchers Meeting 2 (specially for clinician researchers) 31 October 2022, Monday, 6 to 8 PM IST *Clinician researchers are urged to participate in the meeting scheduled for 31 October 2022. Interested young researchers are requested to register at https://forms.office.com/r/s8eeEYMYuS by 28 October 2022. Upon registration, the meeting link will be shared by email in due course. We request you to encourage interested postdoctoral scientists, PhD students, and other colleagues in your group/institution to participate in the session and explore the possibility of an exciting academic research journey at CBR. We would be grateful if you could arrange to spread the word to suitable groups/young researchers working elsewhere as well. A printable flyer is available at https://www.cbr.iisc.ac.in/wp-content/uploads/2022/10/yrm-2022.pdf For further information and updates, please visit https://www.cbr.iisc.ac.in/yrm2022/ Queries may be addressed to facultysearch.cbr at iisc.ac.in Look forward to your support and to successful meetings. Warm regards, Prof. Y Narahari Director, Centre for Brain Research Indian Institute of Science, Bangalore -------------- next part -------------- An HTML attachment was scrubbed... URL: From geri at robot-learning.de Wed Oct 26 08:27:08 2022 From: geri at robot-learning.de (Gerhard Neumann) Date: Wed, 26 Oct 2022 14:27:08 +0200 Subject: Connectionists: [jobs] PDRA and PhD Position in Geometric Deep Learning and Reinforcement Learning, KIT, Germany Message-ID: Dear Colleagues, The Autonomous Learning Robots (ALR) lab at the Karlsruhe Institute of Technology (KIT) is seeking for highly motivated team members (post-doctoral researcher or doctoral student) with a strong background in reinforcement learning and/or geometric deep learning. The successful candidate will investigate modelling of deformable materials with geometric deep learning with focus on data-driven optimization in applications for production engineering such as stamp forming. You will be part of a larger interdisciplinary consortium consisting of production engineers, mechanical engineers and machine learning experts. Good writing and communication skills are required. PDRA applicants should have an outstanding record of research and publications. The PDRA contract will be given for 2 years with the possibility of extension of another year. The PhD position is initially funded for 4 years. Strong research background and expertise in some of the following areas are preferred: - Deep reinforcement learning - Graph Neural Networks - Modelling deformable objects - Robot learning for manipulation - Mesh-based FEM simulations You will also closely interact with other team members of the ALR lab, supervise master students and work in a highly collaborative team. To apply, applicants should send their applications to gerhard.neumann at kit.edu including: - CV with a list of at least 3 references for PDRAs and 2 for PhD candidates - Record of publications (for PDRAs only) - A statement about research interest and why you are interested in this position (up to 1 page). best wishes, Gerhard Neumann Professor Head of the Autonomous Learning Robots (ALR) lab -------------- next part -------------- An HTML attachment was scrubbed... URL: From maass at igi.tugraz.at Wed Oct 26 10:14:41 2022 From: maass at igi.tugraz.at (Wolfgang Maass) Date: Wed, 26 Oct 2022 16:14:41 +0200 Subject: Connectionists: fully funded Phd position in the intersection of neuroscience and AI Message-ID: <4d8ac14e-9cf4-25df-6404-fbc91668936b@igi.tugraz.at> We accept applications for a fully funded Phd position for research in the intersection of neuroscience and AI. This Phd student will work with our team on reverse engineering data-based models for cortical microcircuits and their learning capabilities, as for example in --Analysis of visual processing capabilities and neural coding strategies of a detailed model for laminar cortical microcircuits in mouse V1 (G. Chen, F. Scherr, W. Maass).Science Advances (Nov. 2, 2022), https://www.biorxiv.org/content/10.1101/2021.12.07.471653v3?versioned=t --A solution to the learning dilemma for recurrent networks of spiking neurons (Bellec, G., Scherr, F., Subramoney, A., Hajek, E., Salaj, D., Legenstein, R., & Maass, W.) Nature Communications 2020, 11(1), 1-15. In addition, the Phd student will work on the development of brain-inspired architectures and algorithms for AI, like in --Local prediction-learning enables neural networks to plan (C. Stoeckl, W.Maass) https://www.biorxiv.org/content/10.1101/2022.10.17.512572v1, and for highly energy-efficient neuromorphic hardware, as in --A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware (A Rao, P Plank, A Wild, W Maass), Nature Machine Intelligence 4 (5), 467-479. https://igi-web.tugraz.at/PDF/261.pdf In order to qualify for this Phd-position you need to have a master degree in computer science or related areas, very good skills in mathematics/theory, and programming experience for GPUs. You should also have an excellent record,demonstrations of your research potential, and be strongly motivated to collaborate with us on understanding ?how the brain works?. If you qualify, please send me your CV, transcripts, names of referees, as well as links to your master thesis, papers, and other pertinent documents. Prof. Dr. Wolfgang Maass Institut fuer Grundlagen der Informationsverarbeitung Technische Universitaet Graz Inffeldgasse 16b , A-8010 Graz, Austria http://www.igi.tugraz.at/maass/Welcome.html From poma at mmmi.sdu.dk Wed Oct 26 11:11:19 2022 From: poma at mmmi.sdu.dk (Poramate Manoonpong) Date: Wed, 26 Oct 2022 15:11:19 +0000 Subject: Connectionists: [journals] Frontiers Research Topic on The Roles of Self-organization and Sensory Adaptation for Locomotion in Animals and Robots Message-ID: Dear Colleagues, We would like to announce a research topic in Frontiers, entitled: "The Roles of Self-organization and Sensory Adaptation for Locomotion in Animals and Robots" The goal of this Research Topic is to consolidate topics related to ?Self-organization and Sensory Adaptation for Locomotion?, in order to encourage the acceleration of collaborative approaches between the fields of biology and robotics. This Frontiers Research Topic invites research articles on recent results in biology and robotics in terms of experiments, measurement, analysis, design, control, and development with the goal of better understanding the role of self-organization and sensory adaptation in animals and translating them to robots. This includes, but not limited to: -walking, rolling, swimming, flying robots -soft robots -locomotion gaits -swarms of robots -motion patterns -synchronization -control and learning algorithms -central pattern generators A Research Topic works as a Journal Special Issue, therefore it welcomes contributions in the form of Original Research, Reviews, Methods, Perspectives, and Hypothesis and Theory article types. Submission Deadline: 20 December 2022 Please note that the review process will start immediately after the manuscript submission, therefore accepted papers may appear online also before the submission deadline. Authors interested in contributing to this special issue are advised to submit their papers via the dedicated submission site: https://www.frontiersin.org/research-topics/33204/the-roles-of-self-organization-and-sensory-adaptation-for-locomotion-in-animals-and-robots Participating Journals Manuscripts can be submitted to this Research Topic via the following journals: Frontiers in Neurorobotics Frontiers in Computational Neuroscience Frontiers in Neural Circuits Guest Editors Bulcs? S?ndor, Babes-Bolyai University, Romania Claudius Gros, Goethe University Frankfurt, Germany Poramate Manoonpong, University of Southern Denmark, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From jncor at dei.uc.pt Thu Oct 27 05:46:22 2022 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Thu, 27 Oct 2022 10:46:22 +0100 Subject: Connectionists: CfP Extended Deadline for Evostar 2023 - The Leading European Event on Bio-Inspired Computation - 12-14 April 2023 Message-ID: Dear Colleague(s), Below you will find the extended deadline of the call for papers for EvoStar 2023. Feel free to distribute and thank you for your time. Best regards, Jo?o Correia EvoStar Publicity Chair ---------------------------------------------------------------------- Call for papers for the EvoStar 2023 conference http://www.evostar.org/2023/ Submission Deadline: November 16, 2022 Conference: 12 to 14 April 2023. Venue: Brno, Czech Republic News: ** EvoApps Special Sessions: https://www.evostar.org/2023/evoapps/ ** EvoStar 2022 LBAs published You can find the late-breaking abstract at: https://arxiv.org/abs/2208.00555 Please distribute (Apologies for cross-posting) ------------------------------------------------ EvoStar comprises four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme of the European Commission, and they represent a continuity of research collaboration stretching back over 20 years. EvoStar is organised by SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings. This non-profit academic society is committed to promoting evolutionary algorithmic thinking, with the inspiration of parallel algorithms derived from natural processes. It provides a forum for information and exchange. The four conferences include: - EuroGP 26th European Conference on Genetic Programming http://www.evostar.org/2023/eurogp/ - EvoApplications 26th European Conference on the Applications of Evolutionary and bio-inspired Computation http://www.evostar.org/2023/evoapps/ - EvoCOP 23rd European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2023/evocop/ - EvoMUSART 12th International Conference (and 17th European event) on Artificial Intelligence in Music, Sound, Art and Design. http://www.evostar.org/2023/evomusart/ *** Important Dates, Venue and Publication *** Submission Deadline: November 16, 2022 Conference: 12 to 14 April 2023. Venue: Brno, Czech Republic 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: http://www.evostar.org/2023/ And follow us at: Facebook - https://www.facebook.com/evostarconf/ Twitter - https://twitter.com/EvostarConf/ Instagram - https://www.instagram.com/evostarconference/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Thu Oct 27 23:51:23 2022 From: suashdeb at gmail.com (Suash Deb) Date: Fri, 28 Oct 2022 09:21:23 +0530 Subject: Connectionists: Submission Deadline 1 month away Message-ID: Dear friends and esteemed colleagues, The paper submission deadline for ISMSI 2023, an annual event of IICCI, is 1 month away http://www.ismsi.org Apart from conference proceedings, to be published by ICPS, ACM, scope exists for the extended versions of a subset of conference manuscripts to be published in NCAA, a Springer Publication https://link.springer.com/journal/521 Hope to receive your submissions for ISMSI 2023 in the coming days. Thanks and kind regards, Suash Deb General Chair, ISMSI 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From kenneth.harris at ucl.ac.uk Thu Oct 27 10:28:56 2022 From: kenneth.harris at ucl.ac.uk (Harris, Kenneth) Date: Thu, 27 Oct 2022 14:28:56 +0000 Subject: Connectionists: Postdoc vacancies at UCL Message-ID: Dear Connectionists, We seek two postdoctoral researchers to work at the interface of computational and experimental neuroscience, in the lab of Matteo Carandini and Kenneth Harris at UCL (www.cortexlab.net). One of the positions is for a project that seeks to reveal how neural activity is structured in brainwide patterns to support diverse behaviors in mice. The other is for a project that aims to relate the activity of a single neuron with that of thousands of presynaptic and postsynaptic neurons across the mouse cortex, in collaboration with Alipasha Vaziri (Rockefeller University) and Federico Rossi (UCL and IIT). More info here: https://tinyurl.com/CortexlabPostdoc. Deadline for applications is 7 November. --------------------- Kenneth D. Harris Professor of Quantitative Neuroscience UCL Institute of Neurology Cruciform Building, Gower Street London WC1E 9BT Phone: +44 (0) 20 7679 0709 -------------- next part -------------- An HTML attachment was scrubbed... URL: From eero at cns.nyu.edu Thu Oct 27 23:06:29 2022 From: eero at cns.nyu.edu (Eero Simoncelli) Date: Thu, 27 Oct 2022 23:06:29 -0400 (EDT) Subject: Connectionists: Doctoral studies in Computational/Theoretical Neuroscience at NYU Message-ID: <202210280306.29S36Th09194@calaf.cns.nyu.edu> New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in scientific study of the brain. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS), Graduate School of Arts & Sciences (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://as.nyu.edu/cns/DoctoralProgram.html] * SueYeon Chung - NeuroAI and geometry. * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * David Heeger (also in Psychology) - Computational neuroscience, vision, attention. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision-making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in the Center for Data Science) - Computational models of learning and memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. * Alex Williams - Statistical analysis of neural data. Neuroscience Institute, School of Medicine (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://med.nyu.edu/departments-institutes/neuroscience/] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the Simons Foundation) - Neural computation and connectomics. * Biyu He - Large-scale brain dynamics underlying human cognition. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Shy Shoham - Methods for controlling, imaging, and analyzing neural systems. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html] * Todd Gureckis - Memory, learning, and decision processes. * Brenden Lake (also in the Center for Data Science) - Computational modeling of cognition, deep learning. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Mathematics (deadline: 18 December) [https://gsas.nyu.edu/admissions/arc/programs/mathematics.html] * David McLaughlin - Nonlinear wave equations, computational visual neuroscience. * Aaditya Rangan - Computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Data Science (deadline: 12 December) [https://cds.nyu.edu/phd-program/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. * Grace Lindsay (also in Psychology) - Machine learning models of the brain/mind. * Mengye Ren (also in Computer Science) - Machine learning, computer vision, representation learning. Physics (deadline: 30 December) [https://as.nyu.edu/physics/programs/graduate.html] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, computer vision, robotics, computational neuroscience. Economics (deadline: 18 December) [https://as.nyu.edu/econ/graduate/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision. From ksharma.raj at gmail.com Thu Oct 27 10:16:41 2022 From: ksharma.raj at gmail.com (Raj Sharma) Date: Thu, 27 Oct 2022 19:46:41 +0530 Subject: Connectionists: Call for Participation: The 14th Asian Conference on Machine Learning (12-14 Dec, 2022) Message-ID: **apologies if you have received multiple copies of this email* ------------------------------------------------------------------------------ *ACML 2022* The 14th Asian Conference on Machine Learning Hyderabad, India December 12-14, 2022 https://www.acml-conf.org/2022/ ------------------------------------------------------------------------------ We invite you to attend the 14th Asian Conference on Machine Learning. ACML 2022 aims to provide a leading international forum for Machine Learning researchers to share their new ideas and progress. The conference will be conducted in a hybrid mode. Physical events would be hosted in Hyderabad, India. Highlights of the conference *INVITED SPEAKERS* - *Manik Varma , *Partner Researcher, Microsoft Research India and Adjunct Professor, Indian Institute of Technology Delhi - *Kamalika Chaudhuri , *Research Scientist, Meta AI & Professor, University of California San Diego - *Taiji Suzuki , *Associate Professor, The University of Tokyo - *Andreas Krause , *Professor of Computer Science, ETH Zurich Visit here for more details on the invited talks *WORKSHOPS* 1. Machine Learning for Medical Imaging (ML4MI) - Current Trends and Future Roadmap 2. Weakly Supervised Learning Workshop 3. Workshop on Continual Lifelong Learning *TUTORIALS* 1. *Deep Generative Models for Sequential Decision Making*; Aditya Grover, Assistant Professor of CS at UCLA. 2. *Cooperative multi-agent learning: a review of progress and challenges*; Yali Du, King?s college London and Joel Leibo, Deepmind 3. *AI4code*; Srikanth G Tamilselvam and Dinesh Garg, IBM Research India. 4. *Optimization and learning with Markovian data*; Praneeth Netrapalli and Dheeraj M Nagaraj, Google Research India *ACCEPTED PAPERS* View the list of accepted papers in the conference here . *REGISTRATION* ACML is open for registrations for both in-person and virtual attendance here . *CONFERENCE VENUE* Indian School of Business (ISB), Hyderabad, India *SPONSORS* - Google - Microsoft Research - KLA - TREDENCE - IBM Research - Friendship 2.0 - OPPO - Qualcomm -------------- next part -------------- An HTML attachment was scrubbed... URL: From leslie.perez at pucv.cl Fri Oct 28 10:51:31 2022 From: leslie.perez at pucv.cl (Leslie Angelica Perez Caceres) Date: Fri, 28 Oct 2022 16:51:31 +0200 Subject: Connectionists: Extended Deadline: EvoCOP 2023 - The 23nd European Conference on Evolutionary Computation in Combinatorial Optimisation Message-ID: (Apologies for cross-posting) ************************************************************************************* Call for Papers: EvoCOP 2023 - The 23nd European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2023/evocop/ April 12 - 14, 2023 held as part of EvoStar (http://www.evostar.org) Venue: Brno, Czech Republic ** EvoCOP is CORE Rank B ** ** NEW Submission deadline: November 16, 2022 ** ************************************************************************************* The 23nd European Conference on Evolutionary Computation in Combinatorial Optimisation is a multidisciplinary conference that brings together researchers working on applications and theory of evolutionary computation methods and other metaheuristics for solving difficult combinatorial optimisation problems appearing in various industrial, economic, and scientific domains. Successfully solved problems include, but are not limited to, multi-objective, uncertain, dynamic and stochastic problems in the context of scheduling, timetabling, network design, transportation and distribution, vehicle routing, stringology, graphs, satisfiability, energy optimisation, cutting, packing, planning and search-based software engineering. The EvoCOP 2023 conference will be held somewhere on Earth, together with EuroGP (the 26th European Conference on Genetic Programming), EvoMUSART (the 12th European conference on evolutionary and biologically inspired music, sound, art and design) and EvoApplications (the 26th European Conference on the Applications of Evolutionary Computation), and a special track on Evolutionary Machine Learning in a joint event collectively known as EvoStar (Evo*). Accepted papers will be published by Springer Nature in the Lecture Notes in Computer Science series. (See https://link.springer.com/conference/evocop for previous proceedings.) Download the CFP in PDF format: https://www.evostar.org/2023/wp-content/uploads/2022/07/evo2022-evocop-flyers-prints-05062022-3.pdf The best regular paper presented at EvoCOP 2023 will be distinguished with a Best Paper Award. EvoCOP conference is ranked B in the CORE 2021 ranking: http://portal.core.edu.au/conf-ranks/2195/ **** Areas of Interest and Contributions **** EvoCOP welcomes submissions in all experimental and theoretical aspects of evolutionary computation and other metaheuristics to combinatorial optimisation problems, including (but not limited to) the following areas: * Applications of metaheuristics to combinatorial optimisation problems * Theoretical developments * Neighbourhoods and efficient algorithms for searching them * Variation operators for stochastic search methods * Constraint-handling techniques * Parallelisation and grid computing * Search space and landscape analyses * Comparisons between different (also exact) methods * Automatic algorithm configuration and design Prominent examples of metaheuristics include (but are not limited to): * Evolutionary algorithms * Estimation of distribution algorithms * Swarm intelligence methods such as ant colony and particle swarm optimisation * Artificial immune systems * Local search methods such as simulated annealing, tabu search, variable neighbourhood search, iterated local search, scatter search and path relinking * Hybrid methods such as memetic algorithms * Matheuristics (hybrids of exact and heuristic methods) * Hyper-heuristics and autonomous search * Surrogate-model-based methods Notice that, by tradition, continuous/numerical optimisation is *not* part of the topics of interest of EvoCOP. Interested authors might consider submitting to other EvoStar conferences such as EvoApplications. **** Submission Details **** Paper submissions must be original and not published elsewhere. The submissions will be peer reviewed by members of the program committee. The reviewing process will be double-blind, please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Page limit: 16 pages Submission link: coming soon The authors of accepted papers will have to improve their paper on the basis of the reviewers? comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work has to register for the conference, attend the conference and present the work. **** Important Dates **** Submission deadline: November 16, 2022 EvoStar: April 12-14, 2023 **** EvoCOP Programme Chairs **** Thomas St?tzle Universit? Libre de Bruxelles, Belgium stuetzle at ulb.ac.be Leslie P?rez C?ceres Pontificia Universidad Cat?lica de Valpara?so, Chile leslie.perez at pucv.cl -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Oct 29 12:11:57 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 29 Oct 2022 18:11:57 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Spring: early registration November 13 Message-ID: <335032676.1849124.1667059917369@webmail.strato.com> ****************************************************************** 9th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Spring Bari, Italy April 3-7, 2023 https://irdta.eu/deeplearn/2023sp/ *********** Co-organized by: Department of Computer Science University of Bari ?Aldo Moro? Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: November 13, 2022 ****************************************************************** SCOPE: DeepLearn 2023 Spring 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? and Bournemouth. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting 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, bioinformatics, geographic information systems, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. 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. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. 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 2023 Spring 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 2023 Spring will take place in Bari, an important economic centre on the Adriatic Sea. The venue will be: University of Bari "Aldo Moro" 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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: (to be completed) Vipin Kumar (University of Minnesota), Knowledge Guided Deep Learning: A Framework for Accelerating Scientific Discovery William S. Noble (University of Washington), Deep Learning Applications in Mass Spectrometry Proteomics and Single-Cell Genomics PROFESSORS AND COURSES: (to be completed) Patrick Gallinari (Sorbonne University), [intermediate] Physics Aware Deep Learning for Modeling Dynamical Systems Sergei V. Gleyzer (University of Alabama), tba Jacob Goldberger (Bar-Ilan University), [introductory/intermediate] Latent Random Variables, Generative Models and Variational Autoencoders Yingbin Liang (Ohio State University), [intermediate/advanced] Bilevel Optimization and Applications in Deep Learning Xiaoming Liu (Michigan State University), [intermediate] Deep Learning for Trustworthy Biometrics Razvan Pascanu (DeepMind), tba Bhiksha Raj (Carnegie Mellon University), tba Bart ter Haar Romeny (Eindhoven University of Technology), [intermediate/advanced] Explainable AI from First Principles Martin Schultz (Research Centre J?lich), [introductory/intermediate] Deep Learning for Air Quality, Weather and Climate Zhi Tian (George Mason University), [intermediate] Communication-Efficient and Robust Distributed Learning Michalis Vazirgiannis (Polytechnic Institute of Paris), [intermediate/advanced] Graph Machine Learning with GNNs and Applications Guo-Wei Wei (Michigan State University), [introductory/advanced] Discovering the Mechanisms of SARS-CoV-2 Evolution and Transmission Xiaowei Xu (University of Arkansas Little Rock), [intermediate/advanced] Deep Learning Language Models and Causal Inference 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 March 26, 2023. 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 March 26, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company 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 March 26, 2023. ORGANIZING COMMITTEE: Donato Malerba (Bari, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023sp/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. 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 courses 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 in due time at https://irdta.eu/deeplearn/2023sp/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: University of Bari ?Aldo Moro? Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Sun Oct 30 08:24:59 2022 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Sun, 30 Oct 2022 12:24:59 +0000 Subject: Connectionists: NEURAL NETWORKS, Nov. 2022 Message-ID: Neural Networks - Volume 155, November 2022 https://www.journals.elsevier.com/neural-networks Neural Networks special issue on Artificial Intelligence and Brain Science: Editorial Kenji Doya, Karl Friston, Masashi Sugiyama, Josh Tenenbaum Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems Hongbing Xia, Bo Zhao, Ping Guo Online spike sorting via deep contractive autoencoder Mohammadreza Radmanesh, Ahmad Asgharian Rezaei, Mahdi Jalili, Alireza Hashemi, Morteza Moazami Goudarzi Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI Ikram Chraibi Kaadoud, Adrien Bennetot, Barbara Mawhin, Vicky Charisi, Natalia D?az-Rodr?guez Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory-motor adaptation Niceto R. Luque, Francisco Naveros, Ignacio Abad?a, Eduardo Ros, Angelo Arleo Brain-inspired chaotic backpropagation for MLP Peng Tao, Jie Cheng, Luonan Chen A privacy preservation framework for feedforward-designed convolutional neural networks De Li, Jinyan Wang, Qiyu Li, Yuhang Hu, Xianxian Li LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning Kangkang Zhao, Ziyan Zhang, Bo Jiang, Jin Tang Interpretable Artificial Intelligence through Locality Guided Neural Networks Randy Tan, Lei Gao, Naimul Khan, Ling Guan Location-aware convolutional neural networks for graph classification Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, ... Xueqi Cheng Joint clothes image detection and search via anchor free framework Mingbo Zhao, Shanchuan Gao, Jianghong Ma, Zhao Zhang Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, ... Tomotake Sasaki Structure enhanced deep clustering network via a weighted neighbourhood auto-encoder Ruina Bai, Ruizhang Huang, Luyi Zheng, Yanping Chen, Yongbin Qin DualG-GAN, a Dual-channel Generator based Generative Adversarial Network for text-to-face synthesis Xiaodong Luo, Xiaohai He, Xiang Chen, Linbo Qing, Jin Zhang A differentiable approach to the maximum independent set problem using dataless neural networks Ismail R. Alkhouri, George K. Atia, Alvaro Velasquez LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction Guangning Xu, Xutao Li, Shanshan Feng, Yunming Ye, ... Zhichao Huang Hierarchical binding in convolutional neural networks: Making adversarial attacks geometrically challenging Niels Leadholm, Simon Stringer Unsupervised robust discriminative subspace representation based on discriminative approximate isometric embedding Jianwei Li Self-supervised knowledge distillation for complementary label learning Jiabin Liu, Biao Li, Minglong Lei, Yong Shi A novel Lyapunov stability analysis of neutral-type Cohen-Grossberg neural networks with multiple delays Ozlem Faydasicok, Sabri Arik Multi-granularity heterogeneous graph attention networks for extractive document summarization Yu Zhao, Leilei Wang, Cui Wang, Huaming Du, ... Qing Li Fast multiple graphs learning for multi-view clustering Tianyu Jiang, Quanxue Gao AFINet: Attentive Feature Integration Networks for image classification Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, ... Zenglin Xu Imbalanced low-rank tensor completion via latent matrix factorization Yuning Qiu, Guoxu Zhou, Junhua Zeng, Qibin Zhao, Shengli Xie Latent adversarial regularized autoencoder for high-dimensional probabilistic time series prediction Jing Zhang, Qun Dai Attentional feature pyramid network for small object detection Kyungseo Min, Gun-Hee Lee, Seong-Whan Lee Low precision decentralized distributed training over IID and non-IID data Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy HVIOnet: A deep learning based hybrid visual-inertial odometry approach for unmanned aerial system position estimation Muhammet Fatih Aslan, Akif Durdu, Abdullah Yusefi, Alper Yilmaz Sequential multi-view subspace clustering Fangyuan Lei, Qin Li Tf-GCZSL: Task-free generalized continual zero-shot learning Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram Support vector machine embedding discriminative dictionary pair learning for pattern classification Jing Dong, Liu Yang, Chang Liu, Wei Cheng, Wenwu Wang Continuous learning of spiking networks trained with local rules D.I. Antonov, K.V. Sviatov, S. Sukhov Sequential safe feature elimination rule for -regularized regression with Kullback-Leibler divergence Hongmei Wang, Kun Jiang, Yitian Xu TaskDrop: A competitive baseline for continual learning of sentiment classification Jian-Ping Mei, Yilun Zhen, Qianwei Zhou, Rui Yan Quantization-aware training for low precision photonic neural networks M. Kirtas, A. Oikonomou, N. Passalis, G. Mourgias-Alexandris, ... A. Tefas Hyper-flexible Convolutional Neural Networks based on Generalized Lehmer and Power Means Vagan Terziyan, Diana Malyk, Mariia Golovianko, Vladyslav Branytskyi An inertial neural network approach for loco-manipulation trajectory tracking of mobile robot with redundant manipulator Chentao Xu, Miao Wang, Guoyi Chi, Qingshan Liu Comprehensive analysis of fixed-time stability and energy cost for delay neural networks Yuchun Wang, Song Zhu, Hu Shao, Yu Feng, ... Shiping Wen Integral representations of shallow neural network with rectified power unit activation function Ahmed Abdeljawad, Philipp Grohs Natural Reweighted Wake-Sleep Csongor V?rady, Riccardo Volpi, Luigi Malag?, Nihat Ay Deep learning-based image deconstruction method with maintained saliency Keisuke Fujimoto, Kojiro Hayashi, Risa Katayama, Sehyung Lee, ... Shin Ishii Multi-agent based optimal equilibrium selection with resilience constraints for traffic flow Ping Liu, Iakov Korovin, Sergey Gorbachev, Nadezhda Gorbacheva, Jinde Cao A novel data-driven visualization of -dimensional feasible region using interpretable self-organizing maps (iSOM) Deepak Nagar, Kiran Pannerselvam, Palaniappan Ramu Neurodynamic approaches for sparse recovery problem with linear inequality constraints Jiao Yang, Xing He, Tingwen Huang Fast 2-step regularization on style optimization for real face morphing Cheng Yu, Wenmin Wang, Honglei Li, Roberto Bugiolacchi -------------- next part -------------- An HTML attachment was scrubbed... URL: From goldt.sebastian at gmail.com Mon Oct 31 04:21:07 2022 From: goldt.sebastian at gmail.com (Sebastian Goldt) Date: Mon, 31 Oct 2022 09:21:07 +0100 Subject: Connectionists: Workshop on theory of neural networks in Les Houches, France (20.-24.02.23) Message-ID: Applications are open for a workshop on the theory of neural networks in Les Houches (France) from 20.-24.02.23, organised by SueYeon Chung, Marc M?zard, and Sebastian Goldt. We'll have a great set of speakers from neuroscience and machine learning, and ample time for discussions and exploring the French alps around Les Houches. Apply until Dec 1st: https://statphysneuro.github.io. Some funding to support the participation of early-career scientists and trainees/speakers from underrepresented minorities in our field is available. -------------- next part -------------- An HTML attachment was scrubbed... URL: From franrruiz87 at gmail.com Mon Oct 31 05:12:03 2022 From: franrruiz87 at gmail.com (=?UTF-8?Q?Francisco_J=2E_Rodr=C3=ADguez_Ruiz?=) Date: Mon, 31 Oct 2022 09:12:03 +0000 Subject: Connectionists: ICBINB Monthly Seminar Series Talk: Lena Maier-Hein Message-ID: Dear all, We are pleased to announce that the next speaker of the *?I Can?t Believe It?s Not Better!? (**ICBINB)* virtual seminar series will be *Lena Maier-Hein** (**German Cancer Research Center**)*. More details about this series and the talk are below. The *"I Can't Believe It's Not Better!" (ICBINB) monthly online seminar series* seeks to shine a light on the "stuck" phase of research. Speakers will tell us about their most beautiful ideas that didn't "work", about when theory didn't match practice, or perhaps just when the going got tough. These talks will let us peek inside the file drawer of unexpected results and peer behind the curtain to see the real story of *how real researchers did real research*. *When: *November 10th, 2022 at 1pm CET / 7am EST / 4am PST (Note the unusual time. Due to various constraints, it was not possible to move the talk to a more American-friendly time.) *Where: *RSVP for the Zoom link here: https://us02web.zoom.us/meeting/register/tZUlf-ihrjIqGNKIJ0ClkdAnaqqzF8Kqc5tu *Title:* *Metrics Reloaded* *Abstract:** Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Specifically, chosen performance metrics do not necessarily reflect the domain interest, thus failing to adequately measure scientific progress and hindering translation of ML techniques into practice. To break such historically grown poor practices, we followed a multidisciplinary cross-domain approach that enabled us to critically question common practice in different communities and integrate distributed knowledge in one common framework.* *This talk will comprise two parts. The first part will cover common and rare pitfalls of metrics in the field of image analysis, which have been compiled by a large multidisciplinary international consortium in a community-powered process. The second part will present Metrics Reloaded, a comprehensive framework guiding researchers towards choosing metrics in a problem-aware manner. A specific focus will be put on recommendations that go beyond the current state of the art.* *Bio:** Lena Maier-Hein is head of the division Intelligent Medical Systems at the German Cancer Research Center (DKFZ) and serves as managing director of the DKFZ Data Science and Digital Oncology cross-topic program. Her research concentrates on machine learning-based biomedical image analysis with a specific focus on surgical data science, computational biophotonics and validation of machine learning algorithms.* For more information and for ways to get involved, please visit us at http://icbinb.cc/, Tweet to us @ICBINBWorkhop , or email us at cant.believe.it.is.not.better at gmail.com. -- Best wishes, The ICBINB Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From evomusart at gmail.com Mon Oct 31 13:03:32 2022 From: evomusart at gmail.com (EvoMUSART) Date: Mon, 31 Oct 2022 18:03:32 +0100 Subject: Connectionists: Extended submission deadline - EvoMUSART 2023 - Call for Papers Message-ID: ------------------------------------------------ Call for papers for the 12th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) ? Please distribute ? Apologies for cross-posting ------------------------------------------------ The 12th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will take place in Brno (Czech Republic) between the 12th and 14th of April of 2023, as part of the evo* event. EvoMUSART webpage: http://www.evostar.org/2023/evomusart/ Extended submission deadline: 16 November 2022 Conference: 12-14 April 2023 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 artist 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 16 pages long, in Springer LNCS format. Each submission must be anonymised 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; * 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). Submission link: https://easychair.org/conferences/?conf=evo2023 More information on the submission process and the topics of EvoMUSART: https://www.evostar.org/2023/evomusart Flyer of EvoMUSART 2023: https://www.evostar.org/2023/flyers/evomusart Papers published in EvoMUSART: https://evomusart-index.dei.uc.pt We look forward to seeing you in EvoMUSART 2023! The EvoMUSART 2023 organisers Colin Johnson Nereida Rodr?guez-Fern?ndez S?rgio Rebelo (publication chair) -------------- next part -------------- An HTML attachment was scrubbed... URL: