From announce at ucy.ac.cy Wed Oct 1 03:04:50 2025 From: announce at ucy.ac.cy (Announce) Date: Wed, 1 Oct 2025 07:04:50 +0000 Subject: Connectionists: The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026): Third Call for Contributions to the Special Tracks Message-ID: *** Third Call for Contributions to the Special Tracks *** The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) May 25-29, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://cyprusconferences.org/aamas2026/ We welcome submissions to the Special Tracks of AAMAS 2026. AAMAS 2026 will feature five special tracks: AAAI Track, JAAMAS Track, Blue Sky Ideas Track, Demo Track, and Competitions Track, as well as the Doctoral Consortium. The AAAI Track welcomes AAAI-25 submissions rejected from the main AAAI track that are relevant to the AAMAS research community and received no reject review recommendations (all review scores are weak reject or above). The JAAMAS Track offers authors of papers recently published in the Journal of Autonomous Agents and Multiagent Systems (JAAMAS) that have not previously appeared as full papers in an archival conference the opportunity to present their work at AAMAS 2026. The focus of the Blue Sky Ideas Track is on visionary ideas, long-term challenges, new research opportunities, and controversial debate. The Demo Track allows participants from both academia and industry to showcase their latest developments in agent-based and robotic systems. The Competitions Track is an effective mechanism for motivating researchers to enhance discussions, share knowledge, and boost the development and evaluation of theory and practice of autonomous agents and multiagent systems. Finally, AAMAS invites PhD students working in the research areas covered by AAMAS to take part in the Doctoral Consortium (DC). The DC is an opportunity to interact closely with established researchers in your field as well as other PhD students to receive feedback on your work and to get advice on managing your career. The calls for each track above and for the Doctoral Consortium, along with the respective important dates, are available on the AAMAS 2026 web site. Workshops and Tutorials Furthermore, AAMAS 2026 invites proposals for workshops and tutorials. These will be held on May 25-26, 2026, immediately before the main program of the AAMAS conference. The objectives of the AAMAS 2026 workshop program are to stimulate and facilitate discussion, interaction, and comparison of approaches, methods, and ideas related to specific topics, both theoretical and applied, in the general area of Autonomous Agents and Multiagent Systems. The AAMAS 2026 workshops will provide an informal setting where participants will have the opportunity to discuss specific technical topics, fostering the active exchange of ideas and supporting community development. Tutorials will be half-day long and will be in person ? online/remote versions will not be accepted. A few full-day tutorials may be considered, but the proponents need to motivate their request when submitting their proposal. The calls for workshop and tutorial proposals, along with the respective important dates, are available on the AAMAS 2026 web site. Organizing Committee AAMAS 2026 General Chairs ? Viviana Mascardi, University of Genova, Italy ? John Thangarajah, RMIT University, Australia AAMAS 2026 Program Chairs ? Chris Amato, Northeastern University, United States of America ? Louise Dennis, University of Manchester, United Kingdom AAMAS 2026 Local Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus (Chair) ? Panayiotis Kolios, University of Cyprus, Cyprus (Vice Chair) If you have additional questions, please contact the Program Chairs using aamas2026pcs at gmail.com . -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Wed Oct 1 08:54:50 2025 From: efipatm at gmail.com (Efi P) Date: Wed, 1 Oct 2025 15:54:50 +0300 Subject: Connectionists: New AIDA online short course "VOILA! Fighting Weaponized Technology in Higher Education", Prof. Britt Paris (Rutgers University), October 8, 2025. Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the International AI Doctoral Academy (AIDA ), is excited to invite you to register and attend the upcoming online AIDA short course ?*VOILA! Fighting Weaponized Technology in Higher Education * ?. *?** Date & Time:* October 8, 2025 ? 16:00 CEST *?**Lecturer:* Prof. Britt Paris, Associate Professor in the School of Communication and Information, Rutgers University *?** Host Institution:* Universit? C?te d'Azur *Abstract:* This course explores how the uncritical adoption of AI in higher education threatens academic professions and student learning by intensifying labor, risking job losses, and enabling corporate control over teaching and research. Drawing on the AAUP?s new report, Prof. Britt Paris will examine principles such as shared governance, faculty and student rights over technology use, and strategies for building collective power. Participants will gain insights into how AI?s deployment shapes labor, education justice, and the very possibility of democratic participation. *Registration [here ]* ? For AIDA students only (AIDA students are PhD students/candidates or postdoc researchers belonging to any AIDA member): On the top of the above registration, we strongly encourage you to also enroll in this course through the AIDA website , so that a successful attendance of this course appears in the AIDA Certificate of Course Attendance. *More details [here ]* We look forward to your participation! Best regards, E. Patmanidou -------------- next part -------------- An HTML attachment was scrubbed... URL: From paolo.dini at cttc.es Wed Oct 1 11:57:04 2025 From: paolo.dini at cttc.es (Paolo Dini) Date: Wed, 1 Oct 2025 17:57:04 +0200 Subject: Connectionists: =?utf-8?q?CFP=3A_5th_IEEE_Workshop_on_Pervasive_a?= =?utf-8?q?nd_Resource-constrained_Artificial_Intelligence_=28PeRConAI?= =?utf-8?b?4oCZMjYp?= Message-ID: <0fcad6c4-f5df-413c-9452-b7fffbe7e20c@cttc.es> ************************************************************************** ? [Please accept our apologies if you receive multiple copies of this CFP] ************************************************************************** 5th IEEE Workshop on Pervasive and Resource-constrained Artificial Intelligence (PeRConAI) co-located with IEEE PerCom 2026, March 16-20, 2026, Pisa, Italy Website: http://perconai.iit.cnr.it Email contact for info: perconai at iit.cnr.it The PeRConAI workshop aims at fostering the development and circulation of new ideas and research directions on pervasive and resource-constrained machine learning bringing together practitioners and researchers working on the intersection between pervasive computing and machine learning, stimulating the cross-fertilization between the two communities. The PeRConAI workshop solicits contributions on, but not limited to, the following topics: *Foundations of Advanced Machine learning algorithms and methods for pervasive systems subject to resource limitations addressing the following open challenges:* * Distributed/decentralized and collaborative ML for resource-constrained devices (e.g., resource-efficient federated learning, * imbalanced data distribution among devices); * Brain- and bio-inspired ML algorithms for pervasive computing (e.g., Echo State Networks, Liquid State Machines, Spiking Neural networks); * State-Space Models (SSMs) for resource-constrained devices; * Learning Foundation models at the edge; * Physics-informed ML for efficient training in pervasive computing, * Continual learning for distributed edge contexts; * Efficient compression of deep learning models for real-time inference; * Privacy-preserving and robust ML in distributed/decentralized learning for pervasive and resource-constrained scenarios; * Self- and Semi-supervised learning in pervasive and resource-constrained scenarios (e.g., energy efficient generative models); * Contrastive learning in distributed edge environments; * Split learning and Over-the-air computing for distributed/decentralized learning systems in pervasive and resource-constrained scenarios; * Pervasive and distributed unlearning methods; *Applications of Advanced Machine learning algorithms, methods and approaches for pervasive computing under resource-limitations applied to the following application domains: * * Health and well-being applications (e.g., activity recognition, health monitoring). * Anomaly/Novelty detection (e.g., Industry 4.0, predictive maintenance, condition monitoring, intrusion detection, privacy, and security). * Audio signal processing (e.g., sound event detection, speech recognition/processing). * Wireless sensing (e.g., mm-wave radars); * Video streams processing on resource-constrained devices. * Natural Language Processing and Information Retrieval (e.g., conversational applications running on resource-constrained, mobile, or edge devices). * Intersection between mobile computing and ML/DL on resource-constrained devices. * Remote sensing and Earth observation (resource-efficient satellite edge computing); * AI applications in UAV, e.g., agriculture, logistics, disaster relief, surveillance, and infrastructure inspection; * Any other real-world applications and case studies wherein the pervasiveness of resource-constrained devices is central for knowledge extraction. Submissions Guidelines ---------------------- Papers, written in IEEE LaTeX or Microsoft Word templates, must adhere to the formatting instructions specified here , must be 6 pages (10pt font, 2-column format), including text, figures, and tables. The submission link is the following: https://edas.info/N34025 Organizing Committee -------------------- Prof. Plamen Angelov, Lancaster University, UK Prof. Mario Luca Bernardi, University of Sannio, IT Dr. Paolo Dini, CTTC, ES Dr. Franco Maria Nardini, ISTI-CNR, IT Prof. Riccardo Pecori, eCampus University, IT and IMEM-CNR, IT Dr. Lorenzo Valerio, IIT-CNR, IT -- *Paolo Dini* Researcher (R4) ** Sustainable Artificial Intelligence (SAI) research unit Centre Tecnol?gic de Telecomunicacions de Catalunya (CTTC) Av. Carl Friedrich Gauss, 7 - Building B4 08860 - Castelldefels Tel.: +34 93 645 29 00 _DATA PROTECTION INFORMATION. Data controller: CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA (G62616586):_ We inform you that your identification data and the data contained in the emails and attached files can be incorporated into our databases, in order to maintain professional and / or commercial relationships, and that it will be preserved throughout the relationship. According to the current regulations, you can exercise your right to access, rectification, erasure, restriction of processing, to portability and to object by sending an email to dpo at cttc.cat. This message and any attached document, where appropriate, may be confidential and intended for the original recipient only. L'informem que les seves dades identificatives i les compreses als correus electr?nics i fitxers adjunts poden ser incorporades a les nostres bases de dades amb la finalitat de mantenir relacions professionals i/o comercials i, que seran conservades mentre es mantingui aquesta relaci?. Si ho desitja, pot exercir el seu dret d'acc?s, rectificaci?, supressi?, limitaci? del tractament, portabilitat i objecci? enviant un correu electr?nic a dpo at cttc.cat. Aquest missatge i qualsevol document adjunt, en el seu cas, pot ser confidencial i destinat ?nicament a la persona o entitat a qui s'hagi enviat. Before printing this e-mail or attachments, be sure it is necessary. It is in our hands to protect the environment. -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonior at usp.br Wed Oct 1 19:28:11 2025 From: antonior at usp.br (Antonio Roque) Date: Wed, 1 Oct 2025 20:28:11 -0300 Subject: Connectionists: LASCON 2026 - X Latin American School on Computational Neuroscience - Extended Application Deadline Message-ID: Following multiple requests, the application deadline has been extended to October 11, 2025 (no additional extension will be granted). *LASCON 2026 ? X Latin American School on Computational Neuroscience* *January 5?30, 2026 | University of S?o Paulo, Brazil* https://sisne.org/en/lascon-x/ *APPLICATION DEADLINE: October 11, 2025 (*until midnight, US Pacific Time*)* **** Apologies for cross-posting **** Dear Colleagues, It is my pleasure to announce the *10th edition of the Latin American School on Computational Neuroscience (LASCON 2026)*, which will be held at the University of S?o Paulo, Brazil, from *January 5 to 30, 2026*. LASCON 2026 offers an intensive four-week training program designed for graduate students, advanced undergraduates, and early-career researchers interested in applying computational and mathematical methods to the study of neurons and neural networks. The curriculum spans multiple scales of brain modeling?from biophysically detailed neurons to large-scale networks and theoretical frameworks of brain function and dysfunction?and covers topics such as extracellular field modeling, synaptic and structural plasticity, brain disease and brain state modeling, artificial intelligence, criticality in brain dynamics, consciousness, and brain?machine interfaces. The program combines *morning lectures* on theory, *afternoon tutorials* using leading simulation tools (NEURON, NEST, NetPyNE), and *evening group project work*, culminating in student project presentations. This 10th edition marks a special milestone: *20 years of LASCON*. Since its first edition in 2006, the school has become a recognized international initiative in computational neuroscience training, attracting students from Latin America and beyond. Over the years, LASCON has welcomed participants from all continents, and its alumni (278 to date) have gone on to successful careers in academia and industry worldwide. To celebrate this anniversary, LASCON 2026 will feature the largest faculty in the school?s history, with lectures and tutorials covering a wide spectrum of subfields in computational neuroscience. Confirmed faculty include: Alain Destexhe (Paris-Saclay Inst. of Neuroscience, France) ? Alessandro Treves (SISSA, Italy) ? Aline Duarte (USP, Brazil) ? Arnd Roth (UCL, UK) ? Cl?udia Vargas (UFRJ, Brazil) ? Daniel Takahashi (UFRN, Brazil) ? Demian Battaglia (Univ. of Strasbourg, France) ? Enzo Tagliazucchi (Univ. of Buenos Aires, Argentina) ? Fernanda Matias (UFAL, Brazil) ? Florencia Iacaruso (The Francis Crick Institute, UK) ? Gaute Einevoll (NMBU, Norway) ? Gustavo Rohenkohl (USP, Brazil) ? Hans Ekkehard Plesser (NMBU, Norway) ? Harel Shouval (Univ. of Texas Medical School at Houston, USA) ? Horacio Rotstein (NJIT & Rutgers, USA) ? Junji Ito (J?lich, Germany) ? Leonardo Elias (Unicamp, Brazil) ? Lyle Muller (Western Univ., Canada) ? Marja-Leena Linne (Tampere Univ., Finland) ? Markus Diesmann (J?lich, Germany) ? Maur?cio Girardi-Schappo (UFSC, Brazil) ? Mauro Copelli (UFPE, Brazil) ? Netta Cohen (Univ. of Leeds, UK) ? Oswaldo Baffa (USP, Brazil) ? Patricia Reynaud-Bouret (C?te d?Azur Univ., France) ? Rodrigo Pav?o (UFABC, Brazil) ? Rodrigo Pena (Florida Atlantic Univ., USA) ? Sonja Gr?n (J?lich, Germany) ? Sophia Sanborn (Stanford Univ., USA) ? Viktor Jirsa (Aix-Marseille Univ., France) ? Valeriy Bragin (SUNY, USA) ? William Bialek (Princeton University., USA) ? William Lytton (SUNY, USA). *Applications*: The number of students is limited to 40. Applications must be submitted via the school?s website (link ) and include a CV (in English) and two recommendation letters. The application deadline is *October 11, 2025 (midnight, US Pacific time)*. *Costs and support*: There is *no registration fee*. Subject to available funding, accommodation may be provided for participants coming from outside Greater S?o Paulo. Travel costs must be covered by participants. *Selection*: Priority will be given to Latin American students, but applications from all regions are warmly encouraged. LASCON 2026 is organized as an activity of the *FAPESP Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat)*. We look forward to welcoming you in S?o Paulo. Best regards, Antonio Roque Director, LASCON -- Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil antonior at usp.br aroquesilva at gmail.com www.sisne.org ORCID: 0000-0003-1260-4840 ResearcherID: C-2316-2011 Google Scholar: GqHWF74AAAAJ CV Lattes: 4609096963207702 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dorien.herremans at gmail.com Wed Oct 1 22:50:23 2025 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Thu, 2 Oct 2025 10:50:23 +0800 Subject: Connectionists: EAIM workshop at AAAI - Call for papers - Emerging technologies for Music and AI Message-ID: Dear community, We are organizing the First Workshop on Emerging AI Technologies for Music (EAIM 2026) as part of the AAAI conference 2026 in Singapore ?? The workshop will bring together researchers, industry leaders, and practitioners working at the intersection of AI and music. We?ll explore how advances in generative models, multimodal learning, personalization, explainability, and human?AI collaboration are shaping the future of music creation, analysis, and interaction. ? Highlights: ? *Proceedings published in PMLR* (Proceedings of Machine Learning Research) ? Keynote speakers from industry, sharing real-world perspectives ? A unique platform to connect academia and industry in emerging AI for music ? Part of AAAI, one of the leading AI conferences. ?? Singapore is 32C (90F) all year round, so come take a break from winter with us! ? When & Where: EAIM 2026 @ AAAI, Singapore (26-27 Jan 2026) ? *Call for Papers* & Details: https://amaai-lab.github.io/EAIM2026/ ? Organizers: Keshav Bhandari, Abhinaba Roy, Simon Colton, and Dorien Herremans. The workshop is organized jointly by the AMAAI Lab at Singapore University of Technology and Design and Keshav Bhandari and Prof. Simon Colton from QMUL. We warmly invite submissions of original research, creative systems, and critical perspectives on emerging AI technologies for music. Contributions may include theoretical work, empirical studies, system designs, evaluations, or artistic explorations. This year, we particularly value submissions that emphasize controllability, interpretability, explainability, personalization, human-AI interaction, and collaboration in music systems. Looking forward to inspiring discussions and collaborations in Singapore! ?? Dorien Herremans, Keshav Bhandari, Abhinaba Roy, Simon Colton -- Dorien Herremans, PhD Associate Professor Lead, AMAAI (Audio, Music and AI Lab) http://dorienherremans.com Singapore University of Technology and Design Information Technology and Design Pillar Office 2.401-33 -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcella.cornia at unimore.it Thu Oct 2 03:08:00 2025 From: marcella.cornia at unimore.it (Marcella Cornia) Date: Thu, 2 Oct 2025 09:08:00 +0200 Subject: Connectionists: [CFP] IRCDL 2026 - Modena, Italy (February 19-20, 2026): Submissions are open! Message-ID: ******************************** Call for Papers IRCDL 2026 22nd Conference on Information and Research Science Connecting to Digital and Library Science Modena, Italy February 19-20, 2026 https://ircdl2026.unimore.it/ ******************************** Apologies for multiple posting Please distribute this call to interested parties AIMS AND SCOPE =============== Since 2005, the Conference on Information and Research Science Connecting to Digital and Library Science (IRCDL) has been an annual event for researchers on Digital Libraries and related topics. IRCDL has become a key forum on digital libraries and associated issues. It covers various aspects, including new forms of information institutions, digital content management, and theoretical models of information media. The conference welcomes participants from academia, government, industry, and other sectors. It draws from diverse research areas such as computer science, digital humanities, information science, librarianship, archival science, museum studies, technology, social sciences, cultural heritage, and humanities. IRCDL 2026 features two distinct tracks, each with an associated special issue: - Track 1: Computer Science Foundations for Digital Libraries: Algorithms, Systems, and Applications This track examines core computer science concepts essential for digital libraries. It covers algorithms for information retrieval and data management, system architectures for large-scale digital collections, and practical applications in areas such as academic research and cultural heritage preservation. Special Issue: published in International Journal on Digital Libraries - Track 2: Digital Humanities: The Science and Foundation of Modern Humanities Libraries This track explores the intersection of digital technologies and humanities research. It examines computational methods for analyzing and preserving cultural artifacts, text mining techniques for large-scale literary analysis, and digital platforms for collaborative scholarship. Special Issue: published in Umanistica Digitale TOPICS ======= Submissions are welcome on theory, architectures, data models, tools, services, and infrastructures. Possible topics include, but are not limited to: - Open data - Open science: models, practices, mandates, and policies - Information retrieval and access - Information extraction from tables and figures in scientific literature - Machine learning and data mining for digital libraries - Generative AI and foundation models for digital libraries - Responsible and ethical AI in digital libraries - Ontologies - Knowledge discovery, representation, and reasoning in digital libraries - Knowledge acquisition from scientific papers - Document analysis (layout, text, images) - Services for digital arts and humanities - Cultural heritage access and analysis - Metadata (definition, management, curation, integration) - Digital manuscript analysis - Data repositories and archives - Data citation, provenance and pricing - Data and information lifecycle (creation, store, share and reuse) - Semantic web technologies and linked data for digital libraries - Digital epigraphy - Digital preservation and curation - Quality and evaluation of digital libraries - Digital scholarship - Citation analysis and scientometrics - Research infrastructures - User participation - Human-computer interaction and user experience - Multimodal and multimedia information management - Applications of digital libraries IMPORTANT DATES ================= - Submission deadline: November 28, 2025 - Notifications of acceptance: January 23, 2026 - Camera-ready deadline: February 6, 2026 - Conference: February 19-20, 2026 SUBMISSION GUIDELINES ====================== All submissions will be handled electronically via the conference CMT website: https://cmt3.research.microsoft.com/IRCDL2026 Research papers, describing original ideas on the listed topics and on other fundamental aspects of digital libraries and technology, are solicited. Moreover, short papers on early research results, new results on previously published works, and extended abstract on previously published works are also welcome: - Research papers: should be in the 10-12 pages range. - Short papers: should be in the 6-7 pages range. - Extended abstracts: should be 5 pages long. For all the submission types, references are not counted in the page limit. The accepted papers will be part of the IRCDL 2026 Proceedings, published by CEUR-WS. ORGANIZERS ======================= General Chairs: - Lorenzo Baraldi (University of Modena and Reggio Emilia) - Marcella Cornia (University of Modena and Reggio Emilia) Program Chairs: - Fabio Carrara (ISTI-CNR) - Vittorio Cuculo (University of Modena and Reggio Emilia) - Marilena Daquino (University of Bologna) - Stefano Marchesin (University of Padua) - Marina Paolanti (University of Macerata) Publication Chair: - Sara Sarto (University of Modena and Reggio Emilia) Publicity Chairs: - Emanuele Balloni (Universit? Politecnica delle Marche) - Davide Caffagni (University of Modena and Reggio Emilia) - Beatrice Portelli (University of Udine) Local Organization Chairs: - Davide Bucciarelli (University of Modena and Reggio Emilia & University of Pisa) - Evelyn Turri (University of Modena and Reggio Emilia) - Leonardo Zini (University of Modena and Reggio Emilia) Special Issue Chairs: - Gianmaria Silvello (University of Padua) - Giorgio Maria Di Nunzio (University of Padua) -- *Prof. Marcella Cornia* Associate Professor University of Modena and Reggio Emilia Department of Education and Humanities e-mail: marcella.cornia at unimore.it *UNI**MORE* -------------- next part -------------- An HTML attachment was scrubbed... URL: From schavlis at imbb.forth.gr Thu Oct 2 04:54:11 2025 From: schavlis at imbb.forth.gr (Spyridon Chavlis) Date: Thu, 2 Oct 2025 11:54:11 +0300 Subject: Connectionists: Call for abstracts, EMBO Workshop on DENDRITES, 19-22 May 2026, Heraklion, Crete, Greece Message-ID: Dear colleagues and friends, We are excited to announce the call for abstracts for short oral and poster presentations at the *EMBO Workshop on Dendrites 2026*, taking place from *May 19-22, 2026*, in *Heraklion, Crete, Greece*. This workshop marks the 6th installment in a successful series dedicated to dendritic research. We aim to bring together leading scientists from around the world to share their theoretical and experimental findings. The program is designed to foster dynamic discussions and collaborations in a relaxed atmosphere, emphasizing interaction and the exchange of innovative ideas. *Important Dates:* - *Abstract Submission Deadline:* February 1, 2026 - *Notification of Acceptance:* February 28, 2026 - *Registration Payment Deadline:* March 15, 2026 *There is no fee for abstract submission, and we encourage all potential attendees to submit an abstract, as presenters will receive registration priority.* Please register and submit your abstract online at: https://meetings.embo.org/event/26-dendrites For more information about the workshop, please visit our website or contact us at embo2026 at artion.com.gr. We look forward to welcoming you to Dendrites 2026! Warm regards, *Spiros Chavlis* On behalf of the Organizing Committee: *Panayiota Poirazi, Lucy Palmer, Mark Harnett* -- Spyridon Chavlis, PhD Postdoctoral Researcher and Systems Administrator Poirazi Lab Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Vassilika Vouton, Heraklion, Crete, Greece Email: schavlis at imbb.forth.gr | chavlis.spiros at gmail.com Webpage: dendrites.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From augenstein at di.ku.dk Thu Oct 2 08:10:26 2025 From: augenstein at di.ku.dk (Isabelle Augenstein) Date: Thu, 2 Oct 2025 12:10:26 +0000 Subject: Connectionists: [PhD Positions] Natural Language Understanding at University of Copenhagen Message-ID: The Natural Language Understanding Research Group at the Department of Computer Science, University of Copenhagen is seeking to recruit PhD students for a start in Spring or Autumn 2026. - A fully funded 3-year PhD fellowship on Explainable Natural Language Understanding for a start in Spring 2026 is available as part of the ExplainYourself project on Explainable and Robust Automatic Fact Checking. The position requires candidates to have completed a Master?s degree by the start date. The successful candidate will be supervised by Isabelle Augenstein and co-supervised by Pepa Atanasova. Read more about the position and apply here by 31 October 2025. - A fully funded 3-year PhD fellowship in Trustworthy Natural Language Processing with expected start date of 1st March 2026 (or as soon as possible thereafter). The successful candidate will engage in developing innovative methods for trustworthy NLP models, including but not limited to mechanistic interpretability, explainability, reasoning, factuality, safety mechanisms, and practical applications of trustworthy AI. This independent fellowship offers flexibility in developing your research direction within trustworthy NLP, tailored in collaboration with the candidate to align their interests and the group?s research goals. The fellowship is offered with Pepa Atanasova as the main project supervisor and will be co-supervised by Isabelle Augenstein. Read more about the position and apply here by 31 October 2025. - For a start in Autumn 2026, we are considering candidates on any topic aligned with the focus areas of our lab. Candidates should express their interest by applying to the ELLIS PhD programme by 31 October 2025, naming Isabelle Augenstein as a supervisor. More information about the positions can be found here. Informal enquiries about the positions can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein at di.ku.dk. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Head of the NLP Section, Department of Computer Science (DIKU) Co-Lead, Pioneer Centre for Artificial Intelligence University of Copenhagen ?stervold Observatory ?ster Voldgade 3 1350 Copenhagen augenstein at di.ku.dk http://isabelleaugenstein.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Fri Oct 3 05:10:25 2025 From: announce at ucy.ac.cy (Announce) Date: Fri, 3 Oct 2025 09:10:25 +0000 Subject: Connectionists: The 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026): Last Call for Papers to the Research Track Message-ID: *** Last Call for Papers to the Research Track *** The 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026) 17-20 March, 2026, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://conf.researchr.org/home/saner-2026 The 33rd edition of the IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2026) invites high-quality submissions of papers describing original and unpublished research results. We encourage submissions describing various types of research, including empirical, theoretical, and tool-oriented studies. TOPICS OF INTEREST The topics of the submissions should be of direct interest to the software analysis, evolution, and reengineering community (including researchers, practitioners, educators). Topics of interest include, but are not limited to: ? AI for Software Engineering and Software Engineering for AI (see note below); ? Generative AI and LLM Applied to Analysis, Evolution and Reengineering of Software; ? Software Analysis, Parsing, and Fact Extraction; ? Software Maintenance and Evolution, Evolution Analysis; ? Software Reverse Engineering and Reengineering; ? Program Comprehension; ? Software Architecture Recovery and Reverse Architecting; ? Program Transformation and Refactoring; ? Mining Software Repositories and Software Analytics; ? Software Visualization; ? Software Reconstruction and Migration; ? Program Repair; ? Software Release Engineering, Continuous Integration and Delivery; ? Software Security, Safety, Reliability and Quality Analysis; ? Software Tools for Software Evolution and Maintenance; ? Human Factors and Legal Aspects in the Context of Software Analysis, Evolution and Reengineering; ? Empirical Studies in the Context of Software Analysis, Evolution and Reengineering; ? Education and Training in the Context of Software Analysis, Evolution and Reengineering. SUBMISSION INSTRUCTIONS All submitted papers will undergo a rigorous peer review process and will be selected based on originality, quality, soundness, and relevance. Submissions must be original, not published, accepted, or under review elsewhere. All submissions must be in PDF format and conform to the IEEE Conference Proceedings Formatting Guidelines. Submissions should not exceed 12 pages (with the last 2 pages reserved for references only). Important Note: The Research Track follows a double-anonymous review process. Please refer to the conference website for more details. Submission Link: https://easychair.org/my/conference?conf=saner2026 PAPERS INVOLVING AI AND ML Papers involving AI or ML must either (a) concern a software system as a whole, or a subsystem, and not simply its AI or ML component, (b) consider software engineering artifacts, (c) target a novel context for a software engineering task, or (d) study human, social, socio-technical, and organizational aspects in the development of AI- or ML- intensive software systems (see also "Scoping Software Engineering for AI: The TSE Perspective", 10.1109/TSE.2024.3470368). Papers involving AI or ML must explicitly explain how they address a software engineering problem. Papers not meeting these criteria may be more suitable for AI- or ML-focused venues instead. Papers that do not clearly explain how they address a software engineering problem or don't meet the above criteria will be desk-rejected. SPECIAL JOURNAL ISSUE Authors of selected research papers accepted at SANER 2026 will be invited to submit revised, extended versions of their manuscripts for a special issue featured by Springer?s Empirical Software Engineering Journal (EMSE). The best papers from the conference will be awarded. IMPORTANT DATES (All deadlines are 23:59h "Anywhere on Earth" time) Research Track ? Abstract Submission Deadline: 9 October, 2025 ? Paper Submission Deadline: 16 October, 2025 ? Notifications: 9 December, 2025 ? Camera-Ready: 9 January, 2026 ORGANISING COMMITTEE General Chair ? Georgia Kapitsaki, University of Cyprus, Cyprus Local Organizing Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus Program Chairs ? Eunjong Choi, Kyoto Institute of Technology, Japan ? Matthias Galster, University of Canterbury, New Zealand Industrial Chairs ? Anne Etien, University of Lille, France ? Tushar Sharma, Dalhousie University, Canada ERA Chairs ? Mairieli Wessel, Radboud University, Netherlands ? Christoph Treude, Singapore Management University, Singapore Short Papers and Posters Chairs ? Eleni Constantinou, University of Cyprus, Cyprus ? Sandro Schulze, Anhalt University of Applied Sciences, Germany RENE Chairs ? Apostolos Ampatzoglou, University of Macedonia, Greece ? Sebastian Proksch, Delft University of Technology, Netherlands Workshop/Tutorial Chairs ? Marcelo De Almeida Maia, Federal University of Uberlandia, Brazil ? Juri Di Rocco, University of L'Aquila, Italy Journal-First Chairs ? Luigi Lavazza, Universit? degli Studi dell'Insubria, Italy ? Yuxia Zhang, Beijing Institute of Technology, China Registered Report Chairs ? Sherlock A. Licorish, University of Otago, New Zealand ? Sebastiano Panichella, Zurich University of Applied Science, Switzerland Tool Demo Chairs ? Maliheh Izadi, Delft University of Technology, Netherlands ? Roberto Verdecchia, University of Florence, Italy Diversity, Inclusion, and Newcomers Chairs ? Catia Trubiani, Gran Sasso Science Institute, Italy ? Aldeida Aleti, Monash University, Australia Proceedings Chair ? Raula Gaikovina Kula, Osaka University, Japan Most Influential Paper Award Chairs ? Alexander Chatzigeorgiou, University of Macedonia, Greece ? Michele Lanza, Software Institute - USI, Lugano, Switzerland Sustainability Chair ? Maria Papoutsoglou, University of Cyprus, Cyprus Financial Chair ? Constantinos Pattichis, University of Cyprus, Cyprus Publicity and Social Media Chair ? Erina Makihara, Ritsumeikan University, Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From zk240 at cam.ac.uk Fri Oct 3 15:38:08 2025 From: zk240 at cam.ac.uk (Zoe Kourtzi) Date: Fri, 3 Oct 2025 19:38:08 +0000 Subject: Connectionists: Positions at Univ of Cambridge, UK In-Reply-To: References: Message-ID: We have 2 positions at the Adaptive Brain Lab, University of Cambridge, UK. 1. Postdoc, Research Assistant position in Cognitive and Computational Neuroscience : Interested in how biological and artificial systems learn to be flexible and support adaptive behaviour? Join us @CambridgeABL We combine high-field brain imaging, computational modelling and neurotechnology to understand adaptive brain computations and build tools and interventions that boost brain plasticity. Apply by 20 October 2025: https://www.cam.ac.uk/jobs/research-assistantassociate-fixed-term-pj47416 2. Research programme manager Interested in co-ordinating and supporting cross-disciplinary research programmes and collaborative partnerships? Join us at @CambridgeABL Apply by 15th October 2025: https://cam.ac.uk/jobs/research-programme-manager-full-time-or-part-time-pj47418 For Informal enquiries please contact Prof Zoe Kourtzi (zk240 at cam.ac.uk) with CV and brief statement of background skills and research interests. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marieke.van.erp at dh.huc.knaw.nl Sat Oct 4 15:35:40 2025 From: marieke.van.erp at dh.huc.knaw.nl (Marieke van Erp) Date: Sat, 4 Oct 2025 19:35:40 +0000 Subject: Connectionists: Vacancy: Postdoc (24 months) Betraying & Snitching @KNAW Humanities Cluster Amsterdam Message-ID: <944B6161-1EBA-422C-9FC9-9ADBBEB461AC@dh.huc.knaw.nl> ** Apologies for cross-posting ** KNAW Humanities Cluster and the War in Court project are looking for a postdoc who will help analyse post-WWII documents to trace who betrayed whom. For this we are looking for a Dutch speaking language technology expert, more details in the job description below and on: https://vacatures.knaw.nl/job/Amsterdam-Postdoc-Verraden-&-Verklikken-redux/1325091055/ Deadline for applications is 15 October, job interviews are 28 October. ========================= Postdoc Verraden & Verklikken Als postdoc maak je deel uit van een interdisciplinaire samenwerking tussen het Huygens Instituut en het NIOD (beiden KNAW) waarbij je onderzoek doet naar denunciaties (verklikkingen) tijdens en na de Tweede Wereldoorlog. Je analyseert gedigitaliseerde collecties van het Centraal Archief Bijzondere Rechtspleging (CABR), die de vervolging van verdachten van collaboratie met de Duitse bezetter documenteren. Met behulp van machine-learningtechnieken ontwikkel je methoden om automatisch informatie te extraheren uit deze collecties, met een focus op het herkennen van denunciaties. Dit onderzoek draagt bij aan het inzicht in de werking van de Bijzondere Rechtspleging en kan nieuwe vragen voor vervolgonderzoek naar collaboratie en vervolging aanreiken. Meer informatie over het project is te vinden op: https://oorlogvoorderechter.nl/ Dit breng je mee Je hebt een afgeronde promotie in taaltechnologie of een gerelateerd vakgebied, en een aantoonbare interesse in de maatschappelijke en historische thematiek rond de bezetting van Nederland en de naoorlogse berechting van collaborateurs. Daarnaast heb je ervaring met computationele informatie-extractiemethoden en ben je bedreven in machine learning technieken. Je werkt graag samen, staat open voor nieuwe perspectieven, en hebt bij voorkeur ervaring met data science, het semantisch web, en interdisciplinaire onderzoeksprojecten. Wat bieden wij? Je krijgt een uitdagende functie voor twee jaar (van 1 januari 2026 tot 1 januari 2028) binnen een gedreven team van onderzoekers. Het project biedt de mogelijkheid om innovatieve methoden toe te passen in een historisch onderzoek met maatschappelijke relevantie. Je werkt in een inspirerende omgeving met experts uit verschillende disciplines en krijgt de kans om samen te werken aan baanbrekend onderzoek. De sollicitatieprocedure Dien een motivatiebrief, CV en ??n publicatie illustratief voor je werk in voor woensdag 15 oktober 2025. De sollicitatiecommissie bestaande uit prof. dr. Jelle van Lottum (Hoofd afdeling LivesLab van het Huygens Instituut), dr. Marieke van Erp (hoofd DHLab) en prof. dr. Ismee Tames (NIOD) zal na de brievenselectie kandidaten uitnodigen voor een of meerdere gesprekken. Het eerste gesprek zal plaatsvinden op 28 oktober 2025. ================================== ? https://www.mariekevanerp.com / @merpeltje Digital Humanities Lab / dhlab.nl KNAW Humanities Cluster / huc.knaw.nl https://odeuropa.eu - Sensory mining and olfactory heritage https://cultural-ai.nl - A lab for culturally valued AI https://trifecta.dhlab.nl - Better KGs for the humanities -------------- next part -------------- An HTML attachment was scrubbed... URL: From jesse.grootjen at um.ifi.lmu.de Sat Oct 4 13:38:15 2025 From: jesse.grootjen at um.ifi.lmu.de (Grootjen, Jesse) Date: Sat, 4 Oct 2025 17:38:15 +0000 Subject: Connectionists: =?utf-8?q?MUM_2025_=E2=80=94_Registration_Now_Ope?= =?utf-8?q?n_=26_Accepting_submission_for_Posters=2C_Demo=27s_and_DC?= Message-ID: <9A0F8D3F-6AD3-4534-B776-9E518BF444A3@lmu.de> MUM 2025, the 24th International Conference on Mobile and Ubiquitous Multimedia Enna, Italy, December 1-4, 2025 The 24th International Conference on Mobile and Ubiquitous Multimedia (MUM 2025) will take place in Enna, Italy, December 1?4. MUM is a leading forum for advances in mobile and ubiquitous multimedia, bringing together academics and practitioners to discuss interaction techniques, user research, system development, and more. We invite submissions to Posters (3 pages), Demos (max 3000 words), and the Doctoral Colloquium (2?4 pages). ? Submission deadline: October 9, 2025 (AoE) ? Notification: October 23, 2025 Additionally, we are seeking enthusiastic Student Volunteers (SVs) to support the smooth running of the conference and have a great lineup of exciting workshops. Registration is now open! Visit https://www.mum-conf.org for all (other) details. -------------- next part -------------- An HTML attachment was scrubbed... URL: From q.huys at ucl.ac.uk Sun Oct 5 19:25:55 2025 From: q.huys at ucl.ac.uk (Quentin Huys) Date: Mon, 6 Oct 2025 00:25:55 +0100 Subject: Connectionists: postdoctoral / clinical fellow position in computational psychiatry at UCL Message-ID: <33v2fl25aio5wvh4mum4ap4azjqs5rghs34ad75yvf3tq4flos@c7wk4iiapse2> We are delighted to announce a new position in computational psychiatry in the Applied Computational Psychiatry lab (www.acplab.org) at University College London (UCL) in London, UK. This is an exciting opportunity to undertake fundamental research at the cutting edge of clinical translation. The project will examine advanced computational metrics in the setting of antidepressant discontinuation, and combine these with neuroimaging (MEG) and serotonin manipulations in a clinical cohort. The position is funded by a Wellcome Trust grant and aimed at academic clinicians primarily. The post holder will join vibrant communities in the Division of Psychiatry and the Institute of Neurology at UCL, as well as the Mood Research clinic in the North London NHS Foundation Trust. Details here: https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=38378&jobTitle=Clinical+Research+Fellow -- Quentin Huys Professor of Computational Psychiatry Applied Computational Psychiatry Lab, Division of Psychiatry and Queen Square Institute of Neurology, UCL Deputy Director, Max Planck UCL Centre for Computational Psychiatry and Ageing Research, UCL Honorary Consultant Psychiatrist, North London NHS Foundation Trust Lead, MHM Mood Disorders Research Clinic, North London NHS Foundation Trust www.acplab.org From mtkostecki at gmail.com Mon Oct 6 08:57:43 2025 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Mon, 6 Oct 2025 14:57:43 +0200 Subject: Connectionists: Bonsai Programming workshop, Heidelberg, Oct 17th Message-ID: Hello! We are happy to announce our first workshop of the new academic year! This time we will teach you how to use the *Bonsai* reactive programming language. Many experiments require us to synchronize multiple data streams? from cameras, sensors, microscopes?precisely deliver stimuli, and, quite often, do everything in a *closed-loop* setting. The fact that different devices use different software doesn?t make this task easier. One of the best?and open?solutions to these challenges is *Bonsai*, a reactive programming language that allows you to collect data from multiple systems, from calcium imaging through sound recordings to sensors, and to control output devices?such as feeders, motors, or stimulus delivery systems?to build *closed-loop* paradigms. It is easy to learn, implement, and is robust. During our workshop, we will introduce the basic logic of Bonsai; cover loading and saving data; working with a camera to track animals; and the basics of closed-loop experiments. We will also cover using Arduino alongside Bonsai to control experimental equipment and to save data from your sensors. *Requirements:* A Windows computer and a webcam. The workshop will take place on *Oct 17, 9:45 AM?5:00 PM* at *COS, Heidelberg Institute*. Please find more info and the registration form here: https://openlabhd.org/2025/09/30/bonsai-programming-workshop-oct-17th/ With best wishes, *Mateusz Kostecki* -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Mon Oct 6 09:07:23 2025 From: announce at ucy.ac.cy (Announce) Date: Mon, 6 Oct 2025 13:07:23 +0000 Subject: Connectionists: International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026): First Call for Research Papers Message-ID: *** First Call for Research Papers *** International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026) 29 September - 2 October 2026 https://conf.researchr.org/home/variability-2026 The International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026) invites high-quality contributions from researchers and practitioners in software engineering, systems engineering, and related disciplines focussing on a broad spectrum of methods, concepts, and tools for variability. VARIABILITY aims to be the premier forum for the exchange of ideas, experiences, and results in all aspects of software and systems variability management, reuse, software configuration, and customization. As software and systems become increasingly configurable, reusable, and adaptable, managing their variability across all lifecycle phases is more critical?and more challenging ?than ever. VARIABILITY 2026 seeks to bring together the diverse communities that address these challenges from theoretical, technical, and practical perspectives. VARIABILITY results from a merge of three prominent conferences focussing on software and systems variability, configuration and reuse: SPLC (the International Systems and Software Product Line Conference, 29 successful editions), VaMoS (the International Working Conference on Variability Modelling of Software-Intensive Systems, 19 successful editions), and ICSR (the International Conference on Systems and Software Reuse, 22 successful editions). VARIABILITY is by design open as a conference. It welcomes new fields of variability- intensive research, such as artificial intelligence, hybrid software-hardware systems, etc. For this first edition of VARIABILITY, we strive to continue the success of the predecessor conferences ICSR, SPLC, and VaMoS by welcoming high-quality submissions for the research track in numerous closely related areas, such as systems and software product lines, systems and software reuse, configurable systems and software, product configuration, and systems and software variability. We will award the best research paper and the best artifact paper. Topics of Interest We invite contributions on variability management, reuse, and configuration across all phases of the software and systems lifecycle. The topics of interest include, but are not limited to: Requirements & Domain Engineering ? Domain analysis and variability modeling ? Decision modeling and support ? Customization and personalization specification ? Requirements variability and traceability Architecture & Design ? Variability-aware software architectures ? Architecture-centric product line engineering ? Model-driven engineering (MDE) ? Multi-product lines, program families, product lines of product lines, software ecosystems Implementation & Code Generation ? Generative programming and code synthesis ? Modularization techniques for reusable code ? Programming languages and frameworks for variability ? Open-source strategies for software reuse Testing, Verification & Quality Assurance ? Testing and analysis of configurable systems ? Safety and security in variable systems ? Formal Methods for Software Product Lines ? Non-functional properties: quality-aware analysis, quality-driven configuration ? Reuse in testing, verification, and quality assurance Evolution, Maintenance & Operation ? Refactoring and restructuring of configurable systems ? Reverse engineering, variability mining, and refactoring ? Runtime variability and dynamic (software) product lines ? Maintenance strategies for large-scale reused systems ? Variability in DevOps and CI/CD pipelines AI and Data-Driven Methods ? Machine learning for variability management ? AI-assisted product configuration ? Data and repository mining from product lines and configuration histories ? Recommendation systems for reuse and customization Industrial Applications and Tool Support ? Variability and reuse in AI, cyber-physical systems, robotics, automotive, aerospace, quantum computing, etc. ? Sustainable technologies for variation and sustainable software reuse approaches ? Human, organizational, and social aspects of variable systems and software ? Industrial case studies and lessons learned ? Tools support for all activities in variability management, configuration, and reuse Submission Guidelines Paper Types We invite the following types of submissions: ? Full Papers (up to 16 pages excluding references): Research papers must present original, unpublished work with validated results through empirical evaluation, formal analysis, or implementation-based experiments. Submissions must clearly articulate the problem, its relevance, the proposed contribution, and validation results. ? Short Papers (6 - 8 pages excluding references): Short papers present early-stage research, novel ideas, or conceptual proposals that are not yet fully developed or validated but offer promising directions. These papers should articulate the vision, motivation, and potential impact. Formatting Papers must use the Springer LNCS template according to: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines Springer provides author guidelines that should be consulted for further details: https://resource-preview-cms.springernature.com/springer-cms/rest/v1/content/19242230/data/v17 Submission Link Submissions should be made via Easy Chair, selecting the research track: https://easychair.org/conferences?conf=variability2026 Paper Originality, Double-Blind Policy, Reviewing All papers must be original and not under review elsewhere. Submissions will be double- blind and reviewed by at least three experts. Submissions will be evaluated based on their novelty, relevance, rigor, transparency, and presentation. Authors of submissions to the first deadline might be invited to submit a revision of their papers to the second deadline, which will be reviewed as a revision. Accepted papers will be published in the VARIABILITY 2026 proceedings by Springer in the LNCS series. Revisions Research-track papers can be submitted to the first or second cycle. In the first cycle, papers can receive the following decisions: accept, revision, or reject. Revision means that the reviewers believe that the paper has potential, but that its quality or contribution is not yet ready for publication. Such papers are offered lightweight shepherding by a community member, who is not necessarily a PC member or reviewer. Revised papers should be submitted to the second cycle together with a response letter, explaining how the reviewer comments were addressed. They are then reviewed by the same PC members. Papers rejected in the first cycle can be resubmitted in the second cycle, but need to contain an appendix ?Changes to First-Cycle Submission? at the end of the PDF (after references, regardless of the page limit) that lists the major changes in bullet-point format. Journal Special Issue Selected accepted papers will be invited to submit extended versions with at least 30% additional and original material, to be published in a special issue in a reputable Software Engineering journal (currently under negotiation). Important Dates (AoE) ? First Paper Submission Deadline: 4 December 2025 ? First Notification of Acceptance/Revisions: 16 February 2026 ? Camera-Ready Deadline of Directly Accepted Papers: 1 April 2026 ? Second Paper Submission Deadline: 2 April 2026 ? Second Notification of Acceptance: 1 June 2026 ? Camera-Ready Deadline of Accepted Revised Papers and Directly Accepted Papers: 15 July 2025 ? Author Registration: 15 July 2025 Organisation General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Gilles Perrouin, FNRS & University of Namur, Belgium Research Track Chairs ? Thorsten Berger, Ruhr University Bochum, Germany ? Ina Schaefer, KIT, Germany Industry Track Chairs ? Shaukat Ali, Simula Research Lab and Oslo Metropolitan University, Norway ? Martin Becker, Fraunhofer IESE, Germany Journal First Track Chairs ? Mathieu Acher, University Rennes, Inria, CNRS, IRISA, France ? Xhevahire T?rnava, LTCI, T?l?com Paris, Institut Polytechnique de Paris, France Doctoral Symposium Track Chairs ? Rick Rabiser, LIT CPS, Johannes Kepler University Linz, Austria ? Iris Reinhartz-Berger, University of Haifa, Israel Demos and Tools Track Chairs ? Sandra Greiner, University of Southern Denmark, Denmark vLeopoldo Teixeira, Federal University of Pernambuco Projects Showcase Chairs ? Daniel Struber, Chalmers, University of Gothenburg, Radbound University, Sweden ? Dalila Tamzalit, Nantes Universit?, France Hall of Fame Chairs ? Martin Becker, Fraunhofer IESE, Germany ? Goetz Botterweck, Lero - The Irish Software Research Centre and University of Limerick, Ireland ? Natsuko Noda, Shibaura Institute of Technology, Japan Workshops Chairs ? Lidia Fuentes, Universidad de Malaga, Spain ? Malte Lochau, University of Siegen, Germany Tutorials Chairs ? Loek Cleophas, Eindhoven University of Technology and Stellenbosch University, The Netherlands ? Mahsa Varshosaz, IT University of Copenhagen, Denmark Proceedings Chair ? Sophie Fortz, King's College London, UK Publicity Chairs ? Wesley Assun??o, North Carolina State University, USA ? Kentaro Yoshimura, Hitachi Ltd, Japan Local Organiser and Finance Chair ? George A. Papadopoulos, University of Cyprus, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Tue Oct 7 04:12:28 2025 From: cgf at isep.ipp.pt (Carlos) Date: Tue, 7 Oct 2025 09:12:28 +0100 Subject: Connectionists: CFP: Data Streams Track at ACM SAC 2026 (Submission Deadline: October 10) Message-ID: <58263332-1c29-40df-a20b-3fbbb8f93d04@isep.ipp.pt> The ACM Symposium on Applied Computing (SAC) has served as a premier global forum for applied computer scientists, computer engineers, software engineers, and application developers. We are pleased to announce the Data Streams (DS) track for SAC 2026, sponsored by AI-BOOST. --------------------------------- About the Data Streams Track --------------------------------- The DS track aims to be a vibrant meeting point and discussion forum for researchers engaged in all facets of Data Stream processing. The exponential growth in Big Data information science and technology has introduced significant challenges, particularly concerning the complexity and volume of continuously generated data. Sources like the Internet of Things (IoT), Smart Cities, sensor networks, and customer click streams are good examples of data streams: ordered sequences of instances that are typically read once or a limited number of times, demanding efficient processing with constrained computing and storage. These data sources are characterized by their open-ended nature, high-speed flow, and non-stationary distributions. Processing these ever-growing streaming datasets within reasonable timeframes requires innovative algorithms. Researchers from diverse fields, including data mining, machine learning, OLAP, and databases, are actively developing new approaches or adapting traditional algorithms to address these challenges. The prominence of data streams as a consolidated research topic at conferences like ICML, KDD, IJCAI, ICDM, and ECML further underscores its increasing importance. --------------------------------- Topics of Interest --------------------------------- We invite original, unpublished research contributions related to algorithms, methods, and applications concerning big data streams and large-scale machine learning. Topics include, but are not restricted to: Real-Time Analytics Data Stream Models Big Data Mining Large-Scale Machine Learning Languages for Stream Query Continuous Queries Clustering from Data Streams Decision Trees from Data Streams Association Rules from Data Streams Decision Rules from Data Streams Bayesian Networks from Data Streams Feature Selection from Data Streams Visualization Techniques for Data Streams Incremental Online Learning Algorithms Single-Pass Algorithms Temporal, Spatial, and Spatio-Temporal Data Mining Scalable Algorithms Real-Time and Real-World Applications using Stream Data Distributed Stream Mining Social Network Stream Mining Urban Computing, Smart Cities Internet of Things (IoT) --------------------------------- Important Dates --------------------------------- Paper Submission: October 10, 2025 Author Notification: November 21, 2025 Camera-ready Copy: December 5, 2025 --------------------------------- Paper Submission Guidelines --------------------------------- Authors are invited to submit original papers on all topics related to data streams. All submissions must adhere to the ACM 2-column camera-ready format for publication in the symposium proceedings. Double-Blind Review Process: ACM SAC employs a double-blind review process. Therefore, author names and addresses MUST NOT appear in the body of the submitted paper, and self-references should be made in the third person to facilitate anonymous review. All submitted papers must include the paper identification number provided by the eCMS system upon initial registration. This number must appear on the front page, above the paper's title. Formatting and Length: The paper length is 8 pages, with an option for 2 additional pages at an extra charge (maximum of 10 pages total). Templates to support the required paper format for various document preparation systems can be found at: https://www.sigapp.org/sac/sac2026/authorkit.php Submission guidelines must be strictly followed. A paper cannot be submitted to more than one track. Papers should be submitted in PDF format via the SAC 2026 Webpage. Publication and Presentation: Accepted papers in all categories will be published in the ACM SAC 2026 proceedings. Paper registration is mandatory for the inclusion of papers, posters, or SRC abstracts in the conference proceedings. An author or a proxy MUST present the work at SAC for it to be included in the ACM/IEEE Digital Library. No-shows for registered papers, posters, and SRC abstracts will result in their exclusion from the ACM/IEEE Digital Library. Submission Portal: Please submit your contribution via the SAC 2026 Webpage: https://easychair.org/conferences/?conf=sac2026 We look forward to receiving your valuable contributions! 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 sebastien.destercke at hds.utc.fr Tue Oct 7 05:52:34 2025 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Tue, 7 Oct 2025 11:52:34 +0200 Subject: Connectionists: SIPTA virtual seminar (game theory and lower probabilities): 17th October, 3pm Paris time Message-ID: <9BD33847-D9F4-4319-A2C7-6EE0391B789D@hds.utc.fr> Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 17th of October (Thursday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85055146633 For this new seminar, we are very happy to have Milan Studeny as our speaker. Milan Studeny is a senior research er at the Institute of Information Theory and Automation, within the Academy of Sciences of the Czech Republic. Milan Studeny is internationally recognised, notably for his contributions to graphical models and conditional independence, as well as to game theory, on which this SIPTA seminar will focus. On the 17th of October, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Combinatorial description of facets of the cone of exact games (or coherent lower probabilities)?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 17th of October, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=hLdCKytLbhY See you at the seminar! S?bastien, Enrique and Jasper From boubchir at ai.univ-paris8.fr Tue Oct 7 10:08:28 2025 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Tue, 7 Oct 2025 16:08:28 +0200 Subject: Connectionists: [CfP] International Workshop on Deep Learning for Biometrics and its Applications (DL4BA) - IEEE Big Data Message-ID: _[Apologies for multiple postings]_ The International Workshop on Deep Learning for Biometrics and its Applications (DL4BA) will be held in Macau, China, from 8 to 11 december 2025, in conjunction with the IEEE International Conference on Big Data (IEEE BigData 2025 ). https://dl4ba2025.sciencesconf.org/ *Overview* Biometrics has become a burgeoning research area due to the industrial and government needs for authentication, identification, security, and privacy concerns. Biometric technology has become useful solution for various applications including access control, surveillance and privacy, hardware security and forensics. During last decade, Deep Learning (DL) has received a great attention to solve difficult and complex problems in various domains. Its ability to automatically learn features from big data has made it a major asset.This workshop aims to present and discuss the recent advances on deep learning applied to biometrics providing innovative solutions to challenging problems in biometrics. It is an opportunity to bring researchers and experts together to discuss the current and future state of biometrics. *Topics of interest include, but are not limited to, the following:* - DL for biometrics-based authentication and identification - Deep biometric feature extraction - Deep biometric feature fusion - DL for biometric data analytics (signal, image, video, ...) - DL for biometric spoofing and deepfake detection - DL for big data challenges in biometrics - DL for multimodal biometrics - DL for soft biometrics - DL for forensic biometrics - DL for biometric security and privacy - Leveraging DL techniques for biometrics - Generative AI in biometrics - Federated learning in biometrics - Related applications *Important Dates* *Oct. 26, 2025* (11:59 pm CST): Due date for full workshop papers submission Nov. 15, 2025: Notification of paper acceptance to authors Nov. 23, 2025: Camera-ready of accepted papers Dec 8-11, 2025: Workshops *Paper submission* - Please submit a full-length paper (up to 10 pages IEEE 2-column format including references) or a short-length paper (5 to 7 pages including references) through the online submission system. - Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. See link to "formatting instructions" here : https://www.ieee.org/conferences/publishing/templates.html - Electronic submissions in PDF format are required. - All papers accepted for this workshop will be published in the Workshop Proceedings of IEEE Big Data Conference, made available in the IEEE eXplore digital library. *Online Submission * https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=S43&undisplay_detail=1&wh=/cyberchair/2025/bigdata25/scripts/ws_submit.php *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 boubchir at ai.univ-paris8.fr Tue Oct 7 10:15:48 2025 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Tue, 7 Oct 2025 16:15:48 +0200 Subject: Connectionists: [CfP] International Workshop on Deep Learning for Biomedical Big Data Analysis (DL4BBDA) - IEEE Big Data Message-ID: _[Apologies for multiple postings]_ The International Workshop on Deep Learning for Biomedical Big Data Analysis (DL4BBDA) will be held in Macau, China, from 8 to 11 december 2025, in conjunction with the IEEE International Conference on Big Data (IEEE BigData 2025 ). https://dl4bbda2025.sciencesconf.org/ *Overview* Due to growing innovations in the biomedical research field, substantial huge volumes of data are generated needing to be explored, analyzed and processed using advanced algorithms and techniques. In artificial intelligence, Deep learning (DL) has received a great attention to solve difficult and complex problems in various domains. Its ability to train learning models for large-volume data as well as their performances compared to conventional machine learning algorithms, as made it a major asset. This workshop aims to present and discuss the recent advances in deep learning for biomedical data analysis and processing. It is an opportunity to bring together academic and industrial scientists to discuss recent advances. *Topics of interest include, but are not limited to, the following:* - DL for biomedical signal analysis and processing (e.g., EEG, EMG, ECG, EOG, ?) - DL for medical image analysis and processing (e.g., CT, MRI, fMRI, PET, SPECT, DTI, ?) - DL for diseases detection and diagnosis (e.g., Epileptic seizure, Alzheimer, Sleep disorders, ?) - DL for pandemics detection and forecasting - DL for biometrics - DL in biomedical engineering - DL for health informatics (healthcare, e-health, m-health, telehealth, ?) - DL for brain-computer interfaces - DL for neural rehabilitation engineering - Generative AI in biomedical research - Related applications *Important Dates* *Oct. 26, 2025* (11:59 pm CST): Due date for full workshop papers submission Nov. 15, 2025: Notification of paper acceptance to authors Nov. 23, 2025: Camera-ready of accepted papers Dec 8-11, 2025: Workshops *Paper submission* - Please submit a full-length paper (up to 10 pages IEEE 2-column format including references) or a short-length paper (5 to 7 pages including references) through the online submission system. - Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. See link to "formatting instructions" here : https://www.ieee.org/conferences/publishing/templates.html - Electronic submissions in PDF format are required. - All papers accepted for this workshop will be published in the Workshop Proceedings of IEEE Big Data Conference, made available in the IEEE eXplore digital library. *Online Submission * https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=S48&undisplay_detail=1&wh=/cyberchair/2025/bigdata25/scripts/ws_submit.php *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 francesca.mastrogiuseppe at research.fchampalimaud.org Tue Oct 7 12:45:23 2025 From: francesca.mastrogiuseppe at research.fchampalimaud.org (Francesca Mastrogiuseppe) Date: Tue, 7 Oct 2025 18:45:23 +0200 Subject: Connectionists: Postdoctoral and PhD Positions in Theoretical Neuroscience at SISSA, Trieste Message-ID: We invite applications for postdoctoral and PhD positions in the group led by Francesca Mastrogiuseppe at SISSA, Trieste (Italy). The group develops models and statistical tools to investigate how complex dynamics and computations emerge from the coordinated activity of neurons in large-scale cortical circuits. Depending on the candidate?s interests, projects may range from theoretical work to the analysis of experimental data from partner laboratories. Our group is part of the Data Science and Machine Learning initiative at SISSA. SISSA is an elite postgraduate research institution in Mathematics, Physics, and Neuroscience. The working language is English, and the staff is diverse and strongly international. Trieste is a seaside city with a strong scientific community and excellent quality of life. Postdoctoral positions: We seek candidates with research experience in Computational Neuroscience or other quantitative disciplines. Applicants should submit a CV and a brief (? page) statement of interest. PhD positions: We are looking for candidates with a strong quantitative background and a curiosity to engage with biological questions. Admission is through the doctoral program in Theoretical and Scientific Data Science ( https://datascience.sissa.it/). The official call will open late 2025; informal enquiries and expressions of interest are encouraged. Pre-PhD scholarships and internships may be available. Please send application materials and enquiries to francesca.mastrogiuseppe at sissa.it. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomas.hromadka at gmail.com Tue Oct 7 15:42:55 2025 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Tue, 7 Oct 2025 21:42:55 +0200 Subject: Connectionists: COSYNE 2026: Abstract submission closes soon; Travel grants Message-ID: <9991c162-14d8-4458-a512-dbfcc733da35@gmail.com> ==================================================== Computational and Systems Neuroscience 2026 (Cosyne) MAIN MEETING 12 - 15 March 2026 Lisbon, Portugal WORKSHOPS 16 - 17 March 2026 Cascais, Portugal www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Abstract submission deadline: 16 October 2025, 11:59PM PST Workshop proposal submission is now open. Workshop proposal submission deadline: 23 October 2025, 11:59PM PST Travel grant applications are now open. *Undergraduate* travel grant application deadline: 12 November 2025, 11.59PM PST Other travel grants application deadline: late December 2025 ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ---------------------------------------------------- TRAVEL GRANTS ---------------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least EUR500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside Europe or having other declared needs. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see www.cosyne.org/travel-grants. ----------------------------------------------------- COSYNE 2026 COMMITTEES ----------------------------------------------------- ORGANIZING COMMITTEE General Chairs: Tatiana Engel (Princeton) and Kevin Franks (Duke) Program Chairs: Kimberly Stachenfeld (DeepMind) and Mark Histed (NIH) Workshop Chairs: N Alex Cayco Gajic (ENS) and Guillaume Lajoie (MILA/U Montreal) Tutorial Chairs: Eva Dyer (Georgia Tech) and Talmo Pereira (Salk) Mentorship and Networking Chairs: Denise Cai (Mount Sinai) and Luke Sjulson (Albert Einstein) Undergraduate Travel Chairs: Lea Duncker (Columbia) and Kevin Miller (DeepMind) Development Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Chamaplimaud) Poster Design: Maja Bialon PROGRAM COMMITTEE Mark Histed (NIH) Co-chair Kimberly Stachenfeld (DeepMind) Co-chair Mikio Aoi (UCSD) Arkarup Banerjee (CSHL) Helen Barron (Oxford) Marcus Benna (UCSD) Adrian Bondy (Princeton) N Alex Cayco Gajic (ENS) Hannah Choi (Georgia Tech) Ben Cowley (CSHL) Brian DePasquale (BU) Sridhar Devarajan (IISc) Laura Driscoll (Allen Institute) Eva Dyer (U Penn) Becket Ebitz (U Montreal) Noemi Elteto (DeepMind) Arseny Finkelstein (Tel Aviv U) Juan Alvaro Gallego (Imperial) Matt Golub (U Washington) Laura Grima (Janelia) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Y Kate Hong (CMU) Michele Insanally (U Pittsburgh) Jonathan Kao (UCLA) Ann Kennedy (Northwestern) Kishore Kuchibhotla (JHU) Anna Levina (U Tubingen) Camilo Libedinsky (National Institute of Singapore) Laureline Logiaco (CU Anschutz) Emily Mace (Med Cntr Gottingen) Emily Mackevicius (Basis) Francesca Mastrogiuseppe (Champalimaud) Alexander Mathis (EPFL) Luca Mazzucatto (U Oregon) Dan McNamee (Champalimaud) Jorge Mejias (UVA) James Murray (U Oregon) Hendrikje Nienborg (NIH) Ramon Nogueira Manas (U Chicago) Gouki Okazawa (Inst of Neurosci, China) Marino Pagan (U Edinburgh) Agostina Palmigiano (UCL) Hannah Payne (NYU) Rui Ponte Costa (Oxford) Carolina Rezaval (U Birmingham) Erin Rich (NYU) Alex Roxin (Centre de Recerca Matematica) Shreya Saxena (Yale) Benjamin Scott (BU) Alireza Soltani (Dartmouth) Nicholas Steinmetz (UW) Carsen Stringer (Janelia) Jennifer Sun (Cornell, DeepMind) Marie Suver (Vanderbilt) Tatjana Tschumatchenko (U Bonn) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brandon (Brady) Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (Centre de Recerca Matematica) Anqi Wu (Georgia Tech) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See www.cosyne.org/mailing-lists for details. From Valerie.Gouet at ign.fr Tue Oct 7 16:57:44 2025 From: Valerie.Gouet at ign.fr (Valerie Gouet) Date: Tue, 7 Oct 2025 20:57:44 +0000 Subject: Connectionists: [PhD offer] Scalable indexing and retrieval in multimedia and geospatial contents - Paris area, France Message-ID: [Apologies if you receive multiple copies of this offer] PhD offer Scalable indexing and retrieval in multimedia and geospatial contents LASTIG Lab / IGN and Gustave Eiffel University Great Paris area, France All the details: https://www.umr-lastig.fr/vgouet/News/PhD_Thesis_proposal25-DALEAS.pdf At a glance Within the DALEAS project, the PhD will tackle the core challenge of content-based indexing and retrieval in multimedia contents at large scale. The multimedia contents considered, such as images, text, and 3D point clouds, illustrate or document the territory (a city, street, monument, etc.). The research will consist in designing efficient, flexible representations and indexing strategies that enable fast and accurate retrieval, depending on the data available in the query as well as in the georeferenced database queried. Here, retrieval will enable the identification of documents linked to a common geographical area, with the objective of geolocating the query. Building on previous work on LiDAR-to-text representations performed in LaSTIG, and on Multimodal Large Language Models in general, the candidate will propose fusion and alignment strategies to integrate heterogeneous data. Embedded in the Apache Spark? infrastructure, this work will advance large-scale search in multimedia collections, with application to geospatial analysis of social network media in partnership with France T?l?visions, for the detection of misinformation. Keywords Information retrieval, Indexing and Retrieval, Machine Learning, Multimodal Large Language Models, 3D Point Clouds, Geolocalization, Big Data, Apache Spark. How to apply Before November 21th, 2025, please send to both contacts, in a single PDF file, the following documents: * A detailed CV * A topic-focused cover letter * Grades and ranks over the last 3 years of study * The contact details of 2 referents who can recommend you Candidatures which do not respect these instructions will not be considered. Applications will be accepted until November 21st, with auditions conducted from November 24th to December 5th, and the decision released by December 10th. Contacts * Laurent Caraffa ? Laurent.Caraffa at ign.fr Researcher at LASTIG (PhD thesis supervisor), IGN, Gustave Eiffel University * Val?rie Gouet-Brunet ? Valerie.Gouet at ign.fr Research director at LASTIG (director of the PhD thesis), IGN, Gustave Eiffel University -- Valerie Gouet-Brunet Senior researcher / DR1 Minist?re de la Transition Ecologique LASTIG Lab. / Univ. Gustave Eiffel / IGN (French mapping agency) https://www.umr-lastig.fr/vgouet/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From serafeim.perdikis at essex.ac.uk Wed Oct 8 03:00:27 2025 From: serafeim.perdikis at essex.ac.uk (Perdikis, Serafeim) Date: Wed, 8 Oct 2025 07:00:27 +0000 Subject: Connectionists: Essex BCI-NE webinar: Embodied VR Feedback in Restorative MI-BCIs by Dr Athanasios Vourvopoulos In-Reply-To: References: Message-ID: [cid:image001.png at 01DBDC47.6C149AC0] https://www.linkedin.com/company/essex-bcine-lab/ The Essex BCI-NE Lab invites you to join our next monthly webinar: Embodied VR Feedback in Restorative MI-BCIs Delivered by Dr Athanasios Vourvopoulos (LaSEEB, University of Lisbon) The webinar will take place over Zoom on Wednesday, 15th October 2025, at 3pm UK time RSVP: https://www.linkedin.com/events/7381581860214185986/ Abstract: Over the past decade, immersive virtual reality (VR) combined with brain?computer interfaces (BCIs) has emerged as a promising approach for neurorehabilitation after stroke. Motor imagery (MI)-based BCIs, when enhanced with embodied VR feedback, can engage motor networks in the absence of overt movement and promote neuroplasticity. This talk will highlight our research in VR-BCIs showing findings from experimental and clinical studies underscoring its promise for neurorehabilitation. Speaker Biography: Athanasios (Thanos) Vourvopoulos is Assistant Professor at Instituto Superior Tecnico (IST)/University of Lisbon, and Researcher at the Institute for Systems and Robotics (ISR/LaSEEB). His research is focused on developing non-invasive EEG-based Brain-Computer Interface (BCI) systems integrated with virtual environments and robotic platforms to support neurorehabilitation for neurological and cardiovascular conditions. This work lies at the intersection of biomedical and computer engineering, focusing on enhancing brain-computer interaction for communication and control while also investigating brain recovery mechanisms. Finally, this work has gained international recognition through various awards, including the "Best Early Career Award" by the International Society for Virtual Rehabilitation (ISVR). The Essex BCI-NE Lab webinars series takes place on the first or second Wednesday of the month over Zoom and are open to all. Speakers are invited to talk about their research for 45-50 minutes followed by Q&A. Where speakers allow it, we record the talks and make them available to everyone on our YouTube channel. You can watch previous talks at: https://www.youtube.com/@essexbcis If you don?t want to miss our next webinars, please email serafeim.perdikis at essex.ac.uk to ask to be added to our webinars mailing list. Best wishes, Simis Dr Serafeim Perdikis, Associate Professor (Senior Lecturer) Brain-Computer Interfaces and Neural Engineering Laboratory School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park, Colchester CO4 3SQ United Kingdom -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 200685 bytes Desc: image001.png URL: From zitao.jerry.liu at gmail.com Wed Oct 8 07:03:32 2025 From: zitao.jerry.liu at gmail.com (Zitao Liu) Date: Wed, 8 Oct 2025 19:03:32 +0800 Subject: Connectionists: First Call for Papers - AI for Education@AAAI 2026 Message-ID: *The 7th International Workshop on AI for Education at AAAI 2026* ** Call for Papers ** - AAAI2026 AI for Education - On Opportunities and Challenges of Large Multimodal Models in Education *https://ai4ed.cc/workshops/aaai2026 * In the era of rapid advancements in artificial intelligence, multimodal AI systems ? from large foundational models to efficient, task-specific agents - are reshaping how machines understand and generate human-like interactions across text, vision, audio, and beyond. While Large Language Model (LLM) and Large Multimodal Models (LMMs) offer unprecedented capabilities for personalization and automation in education, emerging paradigms such as Agentic AI and compact, efficient models are demonstrating remarkable efficacy in targeted educational tasks ? often with greater deployability, interpretability, and alignment with real-world constraints. As these diverse AI approaches begin to permeate the educational landscape, they offer complementary pathways to enhance personalized learning, support diverse learner needs, and automate complex instructional tasks ? while also raising critical questions about equity, transparency, and pedagogical alignment. This workshop seeks to bring together leading researchers, practitioners, and policymakers to explore the multifaceted potentials and pressing challenges of applying multimodal and agentic AI systems ? ranging from large foundational models to efficient, task-oriented agents ? in education. By fostering dialogue across disciplines, the event aims to chart a roadmap for responsible innovation, ensuring that the deployment of these diverse AI approaches not only advances educational outcomes but also aligns with core human values in teaching and learning ? including equity, accessibility, and sustainability. --------------------- Workshop Description --------------------- In this workshop, we will invite AIED enthusiasts and critics as well as AIED designers, providers and practitioners from all around the world through the following two different channels: First, we will invite established researchers in the AIED community to give a keynote 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 will call for regular workshop paper submissions related to a broad range of AI domains for education. Through these initiatives, we aim to provide a common ground for researchers to share their cutting-edge insights on AIED and encourage the development of practical and large-scale AIED methods of lasting impact. --------------------- Workshop Paper Submission --------------------- We invite high-quality paper submissions of a theoretical and experimental nature on generative AI topics including, but not limited to, the following: - Emerging technologies in education - Evaluation of education technologies - Immersive learning and multimedia applications - Self-adaptive learning - Individual and personalized education - Intelligent learning systems - Intelligent tutoring and monitoring systems - Automatic grading and assessment - Automated feedback and recommendations - Big data analytics for education - Analysis of communities of learning - Course development techniques - Data analytics & big data in education - and web mining in education - Learning tools experiences and cases of study - Social media in education - Smart education - Digital libraries for learning - Knowledge management for learning - Learning technology for lifelong learning - Tracking learning activities - Wearable computing technology in e-learning - Smart classroom - Dropout prediction - Knowledge tracing - Multimodal Representation Learning for Education - Prompt Engineering and Instruction Tuning for Educational Tasks - Personalized and Adaptive Learning with Generative AI - Automated Curriculum, Lesson, and Assessment Design - Conversational and Interactive Educational Agents (e.g., AI Tutors, Virtual Classrooms) - Agentic Generative AI and Education - Vision-Language Applications in STEM, Humanities, and Language Education - Synthetic Data Generation and Simulation for Education Research - Cross-lingual, Cross-cultural, and Inclusive Educational Generation - Bias, Fairness, Robustness, and Equity in Generative Educational Systems - Explainability, Interpretability, and Trust in LMM Outputs for Educators and Learners - Evaluation Frameworks, Metrics, and Benchmarks for Educational LMMs - Human-AI Co-Creation and Collaboration in Teaching & Learning - Ethical, Legal, Societal, and Policy Implications of LMMs in Education - Teacher Augmentation, Professional Development, and Workflow Integration - Hallucination Mitigation and Pedagogical Alignment in AI-Generated Content --------------------- Submission Website --------------------- The workshop solicits 5-7 pages double-blind paper submissions (with unlimited references) 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. The style files can be found at https://aaai.org/authorkit26-1/. All submissions will be peer-reviewed. Some will be selected for spotlight talks, and some for the poster session. Reviewing will be double-blind, so please do not include any self-identifying information in the submission. Double submission is allowed, as the workshop is non-archival. Submission Link: https://openreview.net/group?id=AAAI.org/2026/Workshop/AI4EDU --------------------- Important Dates --------------------- Note: All deadlines are anywhere on earth (AOE) September 10, 2025: Open Review submission site opens for paper submission October 15, 2025: Abstracts due at 11:59 PM October 22, 2025: Full papers due at 11:59 PM November 13, 2025: Notification of final acceptance or rejection December 13, 2025: Submission of camera-ready files January 26-27, 2026: AI4EDU Workshop --------------------- Organizers --------------------- Zitao Liu, Guangdong Institute of Smart Education, Jinan University, China Yu Lu, Beijing Normal University, China Emmanuel G. Blanchard, University of Le Mans, France Tianqiao Liu, TAL Education Group, China Best Regards, The AI4EDU workshop organizing committees (Zitao, Yu, Emmanuel and Tianqiao) Dean of Guangdong Institute of Smart Education at Jinan University | Zitao Liu | http://www.zitaoliu.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From zitao.jerry.liu at gmail.com Wed Oct 8 07:03:32 2025 From: zitao.jerry.liu at gmail.com (Zitao Liu) Date: Wed, 8 Oct 2025 19:03:32 +0800 Subject: Connectionists: First Call for Papers - AI for Education@AAAI 2026 Message-ID: *The 7th International Workshop on AI for Education at AAAI 2026* ** Call for Papers ** - AAAI2026 AI for Education - On Opportunities and Challenges of Large Multimodal Models in Education *https://ai4ed.cc/workshops/aaai2026 * In the era of rapid advancements in artificial intelligence, multimodal AI systems ? from large foundational models to efficient, task-specific agents - are reshaping how machines understand and generate human-like interactions across text, vision, audio, and beyond. While Large Language Model (LLM) and Large Multimodal Models (LMMs) offer unprecedented capabilities for personalization and automation in education, emerging paradigms such as Agentic AI and compact, efficient models are demonstrating remarkable efficacy in targeted educational tasks ? often with greater deployability, interpretability, and alignment with real-world constraints. As these diverse AI approaches begin to permeate the educational landscape, they offer complementary pathways to enhance personalized learning, support diverse learner needs, and automate complex instructional tasks ? while also raising critical questions about equity, transparency, and pedagogical alignment. This workshop seeks to bring together leading researchers, practitioners, and policymakers to explore the multifaceted potentials and pressing challenges of applying multimodal and agentic AI systems ? ranging from large foundational models to efficient, task-oriented agents ? in education. By fostering dialogue across disciplines, the event aims to chart a roadmap for responsible innovation, ensuring that the deployment of these diverse AI approaches not only advances educational outcomes but also aligns with core human values in teaching and learning ? including equity, accessibility, and sustainability. --------------------- Workshop Description --------------------- In this workshop, we will invite AIED enthusiasts and critics as well as AIED designers, providers and practitioners from all around the world through the following two different channels: First, we will invite established researchers in the AIED community to give a keynote 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 will call for regular workshop paper submissions related to a broad range of AI domains for education. Through these initiatives, we aim to provide a common ground for researchers to share their cutting-edge insights on AIED and encourage the development of practical and large-scale AIED methods of lasting impact. --------------------- Workshop Paper Submission --------------------- We invite high-quality paper submissions of a theoretical and experimental nature on generative AI topics including, but not limited to, the following: - Emerging technologies in education - Evaluation of education technologies - Immersive learning and multimedia applications - Self-adaptive learning - Individual and personalized education - Intelligent learning systems - Intelligent tutoring and monitoring systems - Automatic grading and assessment - Automated feedback and recommendations - Big data analytics for education - Analysis of communities of learning - Course development techniques - Data analytics & big data in education - and web mining in education - Learning tools experiences and cases of study - Social media in education - Smart education - Digital libraries for learning - Knowledge management for learning - Learning technology for lifelong learning - Tracking learning activities - Wearable computing technology in e-learning - Smart classroom - Dropout prediction - Knowledge tracing - Multimodal Representation Learning for Education - Prompt Engineering and Instruction Tuning for Educational Tasks - Personalized and Adaptive Learning with Generative AI - Automated Curriculum, Lesson, and Assessment Design - Conversational and Interactive Educational Agents (e.g., AI Tutors, Virtual Classrooms) - Agentic Generative AI and Education - Vision-Language Applications in STEM, Humanities, and Language Education - Synthetic Data Generation and Simulation for Education Research - Cross-lingual, Cross-cultural, and Inclusive Educational Generation - Bias, Fairness, Robustness, and Equity in Generative Educational Systems - Explainability, Interpretability, and Trust in LMM Outputs for Educators and Learners - Evaluation Frameworks, Metrics, and Benchmarks for Educational LMMs - Human-AI Co-Creation and Collaboration in Teaching & Learning - Ethical, Legal, Societal, and Policy Implications of LMMs in Education - Teacher Augmentation, Professional Development, and Workflow Integration - Hallucination Mitigation and Pedagogical Alignment in AI-Generated Content --------------------- Submission Website --------------------- The workshop solicits 5-7 pages double-blind paper submissions (with unlimited references) 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. The style files can be found at https://aaai.org/authorkit26-1/. All submissions will be peer-reviewed. Some will be selected for spotlight talks, and some for the poster session. Reviewing will be double-blind, so please do not include any self-identifying information in the submission. Double submission is allowed, as the workshop is non-archival. Submission Link: https://openreview.net/group?id=AAAI.org/2026/Workshop/AI4EDU --------------------- Important Dates --------------------- Note: All deadlines are anywhere on earth (AOE) September 10, 2025: Open Review submission site opens for paper submission October 15, 2025: Abstracts due at 11:59 PM October 22, 2025: Full papers due at 11:59 PM November 13, 2025: Notification of final acceptance or rejection December 13, 2025: Submission of camera-ready files January 26-27, 2026: AI4EDU Workshop --------------------- Organizers --------------------- Zitao Liu, Guangdong Institute of Smart Education, Jinan University, China Yu Lu, Beijing Normal University, China Emmanuel G. Blanchard, University of Le Mans, France Tianqiao Liu, TAL Education Group, China Best Regards, The AI4EDU workshop organizing committees (Zitao, Yu, Emmanuel and Tianqiao) Dean of Guangdong Institute of Smart Education at Jinan University | Zitao Liu | http://www.zitaoliu.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From auke.ijspeert at epfl.ch Wed Oct 8 11:54:19 2025 From: auke.ijspeert at epfl.ch (Auke Ijspeert) Date: Wed, 8 Oct 2025 17:54:19 +0200 Subject: Connectionists: [Meetings] Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026. Message-ID: <5b213bbd-a25c-47cc-8218-66db791b51d5@epfl.ch> Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026. Dear connectionists, We are happy to announce the *Gordon Research Conference (GRC) in Robotics *that will take place in Ventura (USA), January 11-16 2026. We have a great list of speakers and discussion leaders (see below and the website). The schedule has been published, and a call for participation and for posters in now open, see https://www.grc.org/robotics-conference/2026/ *Please apply early, as the total number of participants is limited*. Note also the Robotics Gordon Research Seminar (GRS) that takes place just before (Jan 10-11) and that provides a unique forum for young doctoral and post-doctoral researchers to present their work, https://www.grc.org/robotics-grs-conference/2026/. This year?s conference will focus on *adaptive behavior and learning in animals and robots*. We will explore how biological inspiration drives advancements in robotics, from simple reactive behaviors to complex planning and learning systems. Insights from biomechanics, neuroscience, and animal studies are increasingly shaping the design and control of robots, making them more robust and adaptable. A key focus will be on *embodied intelligence, enabling robots to excel in locomotion, manipulation, and interactions with other agents*. Conversely, robotics research is also contributing to biology. Studies of perception and action in robotic systems are leading to new mathematical models that help integrative biologists understand locomotion, manipulation, and collective behavior in animals. By *bringing together experts from robotics, biomechanics, and neuroscience*, this conference aims to foster cross-disciplinary insights that will push the boundaries of both fields. Join us for a dynamic exchange of ideas at the intersection of robotics and biology, where engineering meets evolution. /The Robotics GRC is a premier, international scientific conference focused on advancing the frontiers of science through the presentation of cutting-edge and unpublished research, prioritizing time for discussion after each talk and fostering informal interactions among scientists of all career stages. The conference program includes an array of speakers and discussion leaders from institutions and organizations worldwide, concentrating on the latest developments in the field. The conference is five days long and held in a remote location to increase the sense of camaraderie and create scientific communities, with lasting collaborations and friendships. In addition to premier talks, the conference has designated time for poster sessions from individuals of all career stages, and afternoon free time and communal meals allow for informal networking opportunities with leaders in the field./ Best regards, Auke Ijspeert and Vijay Kumar, organizers./ / *Confirmed speakers:* Alin Albu-Schaeffer Nora Ayanian Spring Berman Oliver Brock Rod Brooks Bingni Brunton Henrik Christensen Kenji Doya Nadia Figeroa Josie Hughes Marco Hutter Monroe Kennedy Dan Koditschek Cecilia Laschi Yasemin Ozkan-Aydin Tony Prescott Amanda Prorok Daniela Rus Giulio Sandini Stefan Schaal Claire Tomlin Kotaro Yasui *Confirmed discussion leaders:* Josie Hughes Dan Koditschek Cecila Laschi Chen Li Barbara Mazzolai Yasemin Ozkan-Aydin Stefan Schaal Giulio Sandini Barry Trimmer -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert (he/him) Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique F?d?rale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert at epfl.ch ----------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From bart at ai.vub.ac.be Thu Oct 9 07:14:25 2025 From: bart at ai.vub.ac.be (Bart de Boer) Date: Thu, 9 Oct 2025 13:14:25 +0200 Subject: Connectionists: AI in language evolution workshop call for contributions Message-ID: A workshop on artificial intelligence methods will be organized in conjunction with the Evolang 2026 conference in Plovdiv, held from April 7-10, 2026. We invite two-page abstracts in the Evolang format about recent and ongoing work on language evolution that employs AI techniques in any form - be it for agent-based modeling, data analysis, computational linguistics, modeling of linguistic behavior with LLMs, or any other application. The abstracts should pay special attention to the AI-methods used and their pros and cons in evolution of language research. The idea of the workshop is to bring together diverse approaches and to discuss possibilities and pitfalls. The deadline for submissions is November 30, 2025. Precise details about the workshop and how to submit a manuscript can be found at: https://ai.vub.ac.be/~bart/AI_in_EvoLang/ From Education at ebrains.eu Thu Oct 9 09:13:16 2025 From: Education at ebrains.eu (EBRAINS Education) Date: Thu, 9 Oct 2025 13:13:16 +0000 Subject: Connectionists: Call for Abstract and Register Now: EBRAINS Student Conference on Interdisciplinary Brain Research 2026 Message-ID: <596D01D0-435F-4123-88F7-01216F6AA4A4@ebrains.eu> Dear all, We?re excited to announce the 1st EBRAINS Student Conference on Interdisciplinary Brain Research, taking place 11?13 March 2026 in Nice, France, at the historic Ch?teau de Valrose (Universit? C?te d?Azur). Organised by the EBRAINS Education Programme and Student Ambassadors, this conference provides a unique platform for early-career researchers across fields, from neuroscience, computer science, psychology, medicine, and more, to exchange ideas, present their work, and connect with peers and mentors in an open, collaborative environment. The programme includes: ? Scientific sessions with contributed talks and posters ? Keynote lectures and panel discussions ? Hands-on workshops and training sessions on EBRAINS tools ? Social and networking activities in the heart of the French Riviera Abstract submission is open! Deadline: 20 October 2025 We welcome submissions of both theoretical and empirical work, including preliminary research and emerging ideas. Submit your abstract here: https://easychair.org/cfp/EBRAINSC26 Registration is now open! Student and early-bird discounts are available. Full details and updates: https://www.ebrains.eu/news-and-events/student-conference-2026 We hope to see you in Nice for an inspiring exchange of ideas and perspectives in brain research! Warm regards, Franziska Vogel On behalf of the EBRAINS Student Conference Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From jesse.grootjen at um.ifi.lmu.de Fri Oct 10 13:46:18 2025 From: jesse.grootjen at um.ifi.lmu.de (Grootjen, Jesse) Date: Fri, 10 Oct 2025 17:46:18 +0000 Subject: Connectionists: =?utf-8?q?MUM_2025_=E2=80=93_Deadline_Extension_f?= =?utf-8?q?or_Posters=2C_Demos_=26_Doctoral_Colloquium?= Message-ID: <6142099E-CB06-4860-B346-DB2489396A30@lmu.de> MUM 2025, the 24th International Conference on Mobile and Ubiquitous Multimedia Enna, Italy, December 1-4, 2025 We are pleased to announce that the submission deadlines for Posters, Demos, and the Doctoral Colloquium have been extended to give you more time to prepare your submissions. New Deadline: October 13, 2025 (AoE) This extension applies to: * Posters (3 pages) - Notifications October 25, 2025 * Demos (max 3000 words) - Notifications October 23, 2025 * Doctoral Colloquium (2?4 pages) - Notifications October 23, 2025 We look forward to receiving your contributions to this leading forum for advances in mobile and ubiquitous multimedia. Registration is now open! Visit https://www.mum-conf.org for complete details and submission guidelines. -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Oct 11 05:36:42 2025 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 11 Oct 2025 11:36:42 +0200 (CEST) Subject: Connectionists: AIces 2026: early registration October 21 Message-ID: <1680466616.219965.1760175403095@webmail.strato.com> ****************************************************** 1st INTERNATIONAL SCHOOL ON THE COGNITIVE, ETHICAL AND SOCIETAL DIMENSIONS OF ARTIFICIAL INTELLIGENCE AIces 2026 Porto ? Maia, Portugal March 30 ? April 3, 2026 https://aices.irdta.eu/2026/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice ? IRDTA Luxembourg/London ****************************************************** Early registration: October 21, 2025 ****************************************************** SCOPE: AIces 2026 will be the first in a series of research training events aiming at updating participants on the most recent multidisciplinary discussions about the foundations, meaning, challenges and risks of AI. The event will have a global scope along 3 thematic lines: cognition, ethics, and society. It will cover current debates about: AI and philosophy of mind; cognitive architectures; machine learning and cognitive development; large language models and visual information; robotics and embodied cognition; neuroscience-inspired AI; algorithmic bias and fairness; transparency and explainability; accountability and responsibility; privacy and surveillance; autonomy and control; AI impact on human values and social inequalities; the future of work and automation; governance, regulation and public policies; AI, human rights and democracy; AI and global development; information and AI education. The event will consist of 12 courses, 2 keynote lectures, 1 round table, 1 symposium collecting short contributions from participants, and 3 open thematic debate sessions. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, AIces 2026 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: AIces 2026 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Cast?lo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 2 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. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. KEYNOTE SPEAKERS: David Danks (University of Virginia), Trustworthy AI in an Untrustworthy World Ming Lin (University of Maryland), Socially Responsible and Trustworthy AI PROFESSORS AND COURSES: (to be completed) Ricardo Baeza-Yates (Barcelona Supercomputing Center), [introductory] Introduction to Responsible AI Thomas Breuel (Nvidia Research), [introductory] Facts and Rules in LLMs Carlos Castillo (Pompeu Fabra University), [introductory] Algorithmic Fairness in High-Risk AI Applications Alan Dix (Cardiff Metropolitan University), [introductory] AI for Social Justice Elia Formisano (Maastricht University), [introductory/intermediate] Auditory Cognition in Humans and Machines Marijn Janssen (Delft University of Technology), [introductory/advanced] Data and AI Governance - From Control to Trust Christian Lebiere (Carnegie Mellon University), [intermediate] Computational Cognitive Models of Human-AI Teaming Paul Smolensky (Johns Hopkins University), [intermediate/advanced] Symbol Processing in Transformers and Other Neural Networks Savannah Thais (City University of New York), [intermediate/advanced] Measurement for Safer AI SYMPOSIUM: A half-day symposium will collect 10-minute voluntary presentations by participants on any of the 3 thematic areas of the event. A 1-page abstract containing the title, authors, and summary of the presentation must be sent to david at irdta.eu by February 28, 2026. OPEN DEBATES: A 3-hour open debate session will be organized for each of the 3 thematic areas of the school: cognition, ethics and society. Expressions of interest to lead the respective sessions will be accepted until December 30, 2025 at david at irdta.eu . A 2-page description must be sent including the topics to be debated as well as the structure, call for contributions and dynamics of the session. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://aices.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Samuel Anjos (Maia, social networks) Osheen Jain (London, communications) Jos? Paulo Marques dos Santos (Maia, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg) Jos? Lu?s Reis (Maia) Lu?s Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://aices.irdta.eu/2026/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://aices.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of academic activities. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Luxembourg/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From j.wiles at uq.edu.au Fri Oct 10 17:43:35 2025 From: j.wiles at uq.edu.au (Janet Wiles) Date: Fri, 10 Oct 2025 21:43:35 +0000 Subject: Connectionists: 2 faculty positions in EECS at UQ, Brisbane Australia In-Reply-To: References: Message-ID: The School of Electrical Engineering and Computer Science at the University of Queensland (Brisbane) is hiring 2 positions in any EECS area. Deadline 29 October 2025. These are continuing positions (equivalent to tenure track and include teaching and research). UQ is a good university (top-100 worldwide). Senior lecturers are equivalent to associate professors in the US system. https://uq.wd3.myworkdayjobs.com/en-US/uqcareers/job/Senior-Lecturer--Teaching-and-Research-_R-55634-1 Our strength as an institution lies in our diverse colleagues. We are dedicated to equity, diversity, and inclusion, fostering an environment that mirrors our wider community. If you are interested or know anyone interested in moving to Brisbane, please forward the link. Regards, Janet Professor Janet Wiles she/hers UQ Researcher Human Centred Computing Discipline School of Electrical Engineering and Computer Science The University of Queensland | Brisbane Qld 4072 Australia | CRICOS code: 00025B The Underground Brain Project: eecs.uq.edu.au/project/fungi Socially-Minded Intelligence: How Individuals, Groups, and AI Systems Can Make Each-Other Smarter (or Not) | https://arxiv.org/abs/2409.15336 The Florence Project: https://eecs.uq.edu.au/florence; Human-centered social robots (panel session, United Nations AI4Good Global Summit, Geneva 2024) | 6-min video [cid:image001.jpg at 01DC3A75.7F361E30] This email (including any attached files) is intended solely for the addressee and may contain confidential information of The University of Queensland. If you are not the addressee, you are notified that any transmission, distribution, printing or photocopying of this email is prohibited. If you have received this email in error, please delete and notify me. Unless explicitly stated, the opinions expressed in this email do not represent the official position of The University of Queensland. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 11493 bytes Desc: image001.jpg URL: From boubchir at ai.univ-paris8.fr Sat Oct 11 06:03:52 2025 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Sat, 11 Oct 2025 12:03:52 +0200 Subject: Connectionists: [CfP] [Deadline extended] The 6th International Workshop on Machine Learning for EEG Signal Processing (MLESP) In-Reply-To: <501154b3-c314-4dd8-9e9a-e2871730997e@ai.univ-paris8.fr> References: <501154b3-c314-4dd8-9e9a-e2871730997e@ai.univ-paris8.fr> Message-ID: _[Apologies for multiple postings]_ The 6^th international workshop on Machine Learning for EEG Signal Processing (MLESP 2025, _https://mlesp2025.sciencesconf.org/_) to be held in Wuhan, China, from 15 to 18 December 2025, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2025, _https://biod.whu.edu.cn/bibm2025/_). *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 impressive progress in solving 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 recent advances. *The topics of interest include but are 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 * *Oct. 20, 2025* (11:59 pm CST):Due date for full workshop papers submission Nov. 1, 2025: Notification of paper acceptance to authors Nov. 10, 2025: Camera-ready of accepted papers Dec 15-18, 2025: Workshops *Paper submission * - Please submit a full-length paper (up to 8 pages 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/2025/bibm25/scripts/submit.php?subarea=S01&undisplay_detail=1&wh=/cyberchair/2025/bibm25/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 announce at ucy.ac.cy Sun Oct 12 05:28:14 2025 From: announce at ucy.ac.cy (Announce) Date: Sun, 12 Oct 2025 09:28:14 +0000 Subject: Connectionists: The 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026): Second Combo Call for Workshop Papers Message-ID: *** Second Combo Call for Workshop Papers *** The 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026) 17 March, 2026, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://conf.researchr.org/home/saner-2026 SANER 2026 will feature the following workshops. Please visit the workshops' websites and/or contact their organisers for more details. SQA4AI ? Software Quality Assurance for Artificial Intelligence https://sqa4ai-ws.github.io Greenvolve ? The Green Software Evolution Workshop https://greenvolve.github.io Fairness 2026 ? 2nd International Workshop on Fairness in Software Systems https://fairnessworkshop.github.io F-TRANSFER ? Facilitating Continuous Education and Training Through AI in SE https://www.cs.ubbcluj.ro/~avescan/f-transfer-2026/ IWBOSE 2026 ? Ninth International Workshop on Blockchain Oriented Software Engineering https://www.agile-group.org/iwbose2026/ VST 2026 ? 9th Workshop on Validation, Analysis and Evolution of Software Tests https://vstworkshop.github.io/vst2026/ MSR4P&S 2026 ? 4th International Workshop on Mining Software Repositories Applications for Privacy and Security https://msr4ps.github.io SUBMISSION LINK https://easychair.org/my/conference?conf=saner2026 IMPORTANT DATES ? Abstract Submission: 12 December, 2025 ? Paper Submission: 18 December, 2025 ? Notification: January 14, 2026 ? Camera-Ready: 20 January, 2026 All dates are 23:59h AoE (anywhere on Earth). ORGANISATION General Chair ? Georgia Kapitsaki, University of Cyprus, Cyprus Local Organizing Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus Workshops and Tutorials Co-Chairs ? Marcelo De Almeida Maia, Federal University of Uberlandia, Brazil ? Juri Di Rocco, University of L'Aquila, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From jay.c.rothenberger at ou.edu Sat Oct 11 16:20:08 2025 From: jay.c.rothenberger at ou.edu (Rothenberger, Jay C.) Date: Sat, 11 Oct 2025 20:20:08 +0000 Subject: Connectionists: ISAIM 2026: Submission Deadline Extended Message-ID: SUBMISSION DEADLINE EXTENDED Nineteenth International Symposium on ARTIFICIAL INTELLIGENCE and MATHEMATICS ISAIM 2026 https://isaim2026.cs.ou.edu/ January 7-9, 2026 Fort Lauderdale, Florida NEW PAPER SUBMISSION DEADLINE: Monday, October 20, 2025 The International Symposium on Artificial Intelligence and Mathematics (ISAIM) is a biennial meeting that fosters interactions between mathematics, theoretical computer science, and artificial intelligence. This is the nineteenth Symposium in the series, which is sponsored by Annals of Mathematics and Artificial Intelligence. We seek submissions of recent results with a particular emphasis on the foundations of AI and mathematical methods used in AI. Papers describing applications are also encouraged, but the focus should be on principled lessons learned from the development of the application. Traditionally, the Symposium attracts participants from a variety of disciplines, thereby providing a unique forum for scientific exchange. The three-day Symposium includes invited speakers, presentations of technical papers, and special topic sessions. SPECIAL TOPIC SESSIONS (ALREADY CONFIRMED): o Cooperation, Competition, and Complexity in AI Planning and Learning -Organized by Alan Kuhnle and Guni Sharon, Texas A&M University o Boolean and pseudo-Boolean Functions -- Theory and Applications -Organized by Munevver Subasi and Ersoy Subasi, Florida Institute of Technology o AI in Group Theory -Organized by Elena Bunina (Bar-Ilan University) and Alexei Miasnikov (Stevens Institute of Technology) CALL FOR SPECIAL SESSIONS: Proposals for additional Special Sessions are welcome. Please send a 1-2 page description and expected participants to Martin Golumbic golumbic at gmail.com by October 31, 2025. PAPER SUBMISSION: Paper submission will be electronic via the submission link to OpenReview on the Paper Submission page of the Symposium website (https://isaim2026.cs.ou.edu/). Papers must be formatted in accordance with the guidelines given there. For convenience we place the OpenReview link here as well: https://openreview.net/group?id=ISAIM/2026/Symposium Please note OpenReview's moderation policy for newly created profiles: o New profiles created without an institutional email will go through a moderation process that can take up to two weeks. o New profiles created with an institutional email will be activated automatically. The submission deadline has been extended to Monday, October 20, 2025 (11:59PM PDT). Papers will be reviewed by members of the Program Committee. Authors will be notified of acceptance or rejection by Thursday, November 13, 2025. Final versions of accepted papers, for inclusion in the conference electronic proceedings, are due by Wednesday, November 26, 2025. Work that will have been published as of January 2026 should not be submitted to ISAIM unless it introduces a significant addition to the previously published work. However, the ISAIM web site proceedings are not archival, so papers submitted to ISAIM can be under review at the time of submission and can be submitted elsewhere after ISAIM. Authors of a selected set of papers from the Symposium will be invited to submit full versions of their papers for inclusion in a special volume of the Annals of Mathematics and Artificial Intelligence, published by Springer. Those invited submissions will be subject to refereeing at the usual standards of the journal, and authors will receive more details with the acceptance notice. Papers must of course be new and unpublished to be considered for the special volume. Any questions regarding paper submission should be sent to the Program Committee Chairs (Dimitrios Diochnos and J?rg Rothe) at the email address . IMPORTANT DATES: Paper submission: Monday, October 20, 2025 Notification: Thursday, November 13, 2025 Final version due: Wednesday, November 26, 2025 Symposium: January 7-9, 2026, Ft. Lauderdale, Florida ORGANIZERS: o General Chair: Martin Charles Golumbic, University of Haifa o Conference Chair: Frederick Hoffman, Florida Atlantic University o Program Committee Chairs: Dimitrios I. Diochnos, University of Oklahoma J?rg Rothe, Heinrich-Heine-Universit?t D?sseldorf o Local Organizer: Maria Provost, Florida Atlantic University o Publications & Publicity Chair: Jay C. Rothenberger, University of Oklahoma PROGRAM COMMITTEE (ALREADY CONFIRMED): Pavlos Andreadis, The University of Edinburgh Roberto Battiti, Universita di Trento Salem Benferhat, Universit? d'Artois Endre Boros, Rutgers University Martin Bullinger, The University of Oxford Elena Bunina, Bar Ilan University Berthe Y. Choueiry, University of Nebraska-Lincoln Benjamin Fish, University of Michigan Judy Goldsmith, University of Kentucky Lisa Hellerstein, New York University John Hooker, Carnegie Mellon University Taylor Johnson, Vanderbilt University Aryeh Kontorovich, Ben Gurion University Temur Kutsia, Johannes Kepler University Reuth Mirsky, Tufts University Debasis Mitra, Florida Institute of Technology Leora Morgenstern, SRI Lev Reyzin, University of Illinois at Chicago Ildik? Schlotter, University of Technology and Economics of Budapest & Economic and Regional Science Research Center, Budapest, Hungary Konstantinos Skianis, University of Ioannina Marija Slavkovik, University of Bergen V.S. Subrahmanian, Northwestern University Gy?rgy Turan, University of Illinois at Chicago Stefan Woltran, TU Vienna Join isaim at googlegroups.com to receive announcements related to ISAIM. -------------- next part -------------- An HTML attachment was scrubbed... URL: From qi.chen at vuw.ac.nz Mon Oct 13 02:39:21 2025 From: qi.chen at vuw.ac.nz (Qi Chen) Date: Mon, 13 Oct 2025 06:39:21 +0000 Subject: Connectionists: EuroGP 2026: 2nd call for papers In-Reply-To: References: Message-ID: Apologies for cross-posting ********************************************************************************* Call for Papers: EuroGP 2026 - the 29th European Conference on Genetic Programming, held as part of EvoStar. 8-10 April 2026, Toulouse, France EuroGP is a CORE Rank B conference. Submission deadline: 1 November 2025 (anytime on Earth) ********************************************************************************* EuroGP is the premier annual conference on Genetic Programming (GP), the oldest and the only meeting worldwide explicitly devoted to this branch of evolutionary computation. It is always a high-quality, enjoyable, friendly event, attracting participants from all continents, and offering excellent opportunities for networking, informal contact, and exchange of ideas with fellow researchers. It will feature a mixture of oral presentations and poster sessions and invited keynote speakers. EvoStar EvoStar is a leading international event devoted to evolutionary computing, comprising four conferences: EuroGP, EvoApplications, EvoCOP, and EvoMUSART. Topics Topics to be covered include, but are not limited to: * Methodological advances: * Algorithms, representations, and operators for GP * Surrogate models and fitness approximation in GP * Explainability and interpretability in GP * GP representations: tree-based, linear, graph-based, grammar-based * Evolutionary design * Multiple populations, coevolution, and modularity in GP * Multi-objective GP * Theoretical developments * Infrastructure and Evaluation Methodologies: * Benchmarking frameworks and reproducibility in GP * Scalable, parallel, and distributed GP systems * GP in embedded and resource-constrained environments * Tools and techniques for visualization and analysis tools of GP systems * Meta-evolution and Self-adaptation: * Self-adaptive and self-configuring GP * AutoML and GP-based pipeline optimization * Meta-learning and evolution of GP parameters and operators * Applications: * GP for scientific discovery and symbolic modeling * GP for continuous control and evolutionary robotics * Real-world applications of GP in medicine, finance, etc. * Evolvable hardware * GP for data privacy, security, and adversarial robustness * Genetic improvement and GP for software engineering * Program synthesis and inductive programming via GP * Hybrid and Unconventional Approaches: * Hybridization of GP with other machine learning methods * Neuroevolution and neural-GP hybrids * Integration of GP with swarm intelligence or other evolutionary paradigms * Unconventional GP paradigms * Open-ended GP systems Submission Details Accepted papers will be published by Springer Nature in the Lecture Notes in Computer Science series. Submissions must be original and not published elsewhere. They will be peer reviewed by at least three members of the program committee. The reviewing process will be double-blind, so please omit information about the authors in the submitted paper. The submission link will be available shortly. The authors of accepted papers will have to improve their papers based on the reviewers? comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work must register for the conference and present the work. The highest quality papers may also be invited to submit extensions for publication in a special issue of a prestigious international journal. For more detail on paper submission, please follow these instructions. Organization Program Chairs: * Luca Manzoni, University of Trieste, Italy * Sylvain Cussat-Blanc, Univeristy of Toulouse, France Publication Chair: * Qi Chen, Victoria University of Wellington, New Zealand For further information please visit https://www.evostar.org/2026/eurogp/. Luca Manzoni and Sylvain Cussat-Blanc EuroGP PC Chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: eurogp-2026-flyer.pdf Type: application/pdf Size: 127237 bytes Desc: eurogp-2026-flyer.pdf URL: From Mark.Humphries at nottingham.ac.uk Mon Oct 13 05:26:44 2025 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries (staff)) Date: Mon, 13 Oct 2025 09:26:44 +0000 Subject: Connectionists: Mechanistic Basis of Foraging 2025: registration closes October 20th In-Reply-To: References: Message-ID: Registration for "The Mechanistic Basis of Foraging 2025" will close on October 20th This international meeting will bring together everyone fascinated by the brain's role in foraging - ecologists, neuroscientists, theorists, psychologists, clinicians and all. It will be at the Edgbaston Park Hotel, University of Birmingham, UK on 3-5th November 2025. Confirmed talks from Miriam Klein-Fl?gge (Oxford), Susan Healy (St Andrews), Benjamin Hayden (Rice), Jacquie Scholl (INSERM), Becket Ebitz (Montreal), David Barack (Pennsylvania), Jennifer Li (Max Planck), Elli Leadbeater (UCL), Aaron Bornstein (UC Irvine), Nicholas Furl (Royal Holloway), Dr. Carolina Rezaval (Birmingham), David Robbe (INSERM), and more https://uobevents.eventsair.com/the-mechanistic-basis-of-foraging/ We are grateful to the University of Birmingham, the BBSRC and The Centre for Human Brain Health (CHBH) for supporting this meeting. Please share in your networks! Organising Committee: Prof. Matthew Apps, University of Birmingham Prof. Mark Humphries, University of Nottingham Prof. Mark Walton, University of Oxford Dr. Laura Grima, HHMI?s Janelia Research Campus Dr. Tiago Monteiro, University of Aveiro Dr. Adithya Rajagopalan, NYU Emma Scholey, University of Birmingham Kubra Karatas, University of Birmingham 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 triesch at fias.uni-frankfurt.de Mon Oct 13 03:33:26 2025 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Mon, 13 Oct 2025 09:33:26 +0200 Subject: Connectionists: Denis Mareschal speaking on Thursday, October 16 in Developing Minds global online lecture series Message-ID: Dear colleagues, On October 16, the Developing Minds global online lecture series is proud to host Denis Mareschal from Birkbeck College London, UK, speaking on: "The challenges and rewards of pursuing real-word Developmental Science?. Thursday, October 16, 2025: 10:00 am EST (Eastern Standard Time, US) 15:00 UTC (Universal Coordinated Time) 16:00 CET (Central European Time) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/67246871085?pwd=4s1XHEOL4tihLhbbqVwprgBihAY9bb.1 Meeting-ID: 672 4687 1085 Kenncode: 745870 Abstract: Historically, the understanding of the brain-based mechanisms of learning in young children has relied on well-controlled lab-based experiments. This was for good scientific reasons. First, there was a drive to isolate individual causes of behaviours and therefore to carefully control the environments in which children behaved during a study. Moreover, the equipment required to assess the neural correlates of behaviours were cumbersome and difficult to move so children's mobility had to be restricted. Recent developments in wearable and wifi-enhanced technologies have now allowed us to literally "untether" children and explore their brain and behaviour as they move around and interact naturally. This has opened new avenues for research, but has equally revealed important new challenges to the way that we approach developmental sciences. In this seminar, I will draw on my lab's recent work on children's sensory cue integration, neural synchrony during children's collaborative problem solving and the trials and tribulations of translating basic cognitive neuroscience research into real-world effective classroom interventions to highlight some of the challenges that contemporary developmental sciences faces. Short Bio: Professor Denis Mareschal is Director of the Centre for Brain and Cognitive Development, at Birkbeck University of London, and a founding member of the Centre for Educational Neuroscience. After completing a BA in Natural Science at Cambridge, he moved on to studying learning -- initially in the form of an MA in Psychology and Artificial Intelligence at McGill in Montreal, Canada and then through completing a DPhil in Psychology at Oxford. Professor Mareschal's research has focussed on identifying the mechanisms of learning and development in infancy and childhood through the combined use of behavioural studies, computational modelling and neuroimaging. He has received a number of awards for his work, including the Marr Prize from the Cognitive Science Society, the Young Investigator Award from the International Congress on Infant Studies and the Margaret Donaldson Prize from the BPS Developmental Section. Over the last 10 years he has led the UnLocke project (Unlocke.org) developing a neuroscience-based primary school maths and science education intervention. He is committed to taking neuroscience out of the lab and into the real-world, in terms of primary research and in terms of translational impact. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From nicolas.rougier at inria.fr Mon Oct 13 06:17:22 2025 From: nicolas.rougier at inria.fr (Nicolas P. Rougier (inria)) Date: Mon, 13 Oct 2025 12:17:22 +0200 Subject: Connectionists: [Comp-neuro] What can you do with 1000 neurons? Task 2 In-Reply-To: (Nicolas P. Rougier via Comp-neuro's message of "Wed, 03 Sep 2025 06:36:07 +0200") References: Message-ID: On Wed 03 Sep 2025 at 06:36, "Nicolas P. Rougier (inria) via Comp-neuro" wrote: Dear all, The challenge is still running with a cued decision task. Provided you've made a model of BG, it might be simple to adapt it, taking into account all the constrains. You'll find instructions at hdttps://github.com/rougier/braincraft Reminder: you have have 1000 neurons (leaky rate model), 100 seconds of training time and 10 runs for evaluation. The difficulty comes from the imposed constrains. You now have to 2 weeks to propose your model. Best, Nicolas Rougier. -- Nicolas P. Rougier ?? www.labri.fr/perso/nrougier Institute of Neurodegenerative Diseases, Bordeaux From efipatm at gmail.com Mon Oct 13 05:49:46 2025 From: efipatm at gmail.com (Efi P) Date: Mon, 13 Oct 2025 12:49:46 +0300 Subject: Connectionists: =?utf-8?q?Call_for_Papers=3A_Special_Issue_on_?= =?utf-8?q?=E2=80=9CAdvancing_Visual_Data_Analytics_for_Disaster_Ma?= =?utf-8?b?bmFnZW1lbnTigJ0u?= Message-ID: *CALL FOR PAPERS* *Special Issue on ?Advancing Visual Data Analytics for Disaster Management? IMAGE AND VISION COMPUTING* *Visit the **Website* >From torrents of satellite imagery to drone video streams and citizen-generated footage, visual data now shapes how we forecast, respond to, and recover from catastrophes. This Special Issue of *Image and Vision Computing* journal seeks state-of-the-art research that converts these heterogeneous visual streams into trustworthy, real-time intelligence for natural- and human-made disaster management. We welcome breakthroughs in *computer vision*, *machine learning*, *multimodal fusion*, *privacy-preserving analytics*, *explainability*, *high-performance/edge computing*, and *generative simulation*. Join us in building a cross-disciplinary forum where novel algorithms meet operational challenges, advancing resilience and saving lives through *smarter visual data analytics*. With the increasing frequency and severity of natural and man-made disasters, effective disaster management is a global priority. Visual data from any source play a vital role in disaster preparedness, response, and recovery. Efficient and accurate analysis of this visual data is crucial for understanding disaster scale and impact, while having significant implications for broader challenges in visual data analytics. This *Special Issue* on ?*Advancing Visual Data Analytics for Disaster Management*? seeks to present cutting-edge methodologies, emerging applications, and core challenges in deriving actionable insights from visual data in disaster contexts. Emphasis is placed on advanced computer vision, machine learning, and data science methods for processing visual data streams in real-time or near-real-time, supporting *disaster prediction*, *detection*, *monitoring*, and *assessment*. The Special Issue offers a forum for discussing challenges in visual data analytics with a primary focus on *disaster management*. Potential applications include, not exhaustively, flood monitoring, wildfire tracking, earthquake damage assessment, and urban disaster response. The aim is to foster collaboration across disciplines ? computer vision, machine learning, data science ? and identify future research directions. We welcome submissions on novel *algorithms*, *methods*, and *systems* for visual data analytics with direct relevance to disaster management or similarly *critical real-world scenarios*. *Topics of interest* include, but are not limited to: - Advanced *deep learning* models for understanding complex visual data in critical scenarios. - *Real-time analytics* of visual data from UAVs, satellites, and social media for disaster response and similar applications. - *Visual data summarization* and feature extraction for rapid disaster assessment. - *Human-centered visual recognition* methods for disaster scenarios. - *Multimodal visual data analysis* integrating sources like hyperspectral imaging, LIDAR, and thermal imaging. - *Generative models* for visual data: simulation of disaster scenarios, in-painting, and handling incomplete data. - *Explainable and interpretable models* to support decision-making in high-stakes environments. - *Privacy-preserving visual* analytics using methods like differential privacy and federated learning. - *Scalable algorithms and architectures* for large-scale visual data processing in disasters. - *High-performance and parallel computing* approaches for visual data analytics. - *Domain-specific analytics* for remote sensing, wildfire detection, flood mapping, earthquake damage, etc. - *Ethical considerations* in visual analytics for disaster management. *Submission Guidelines:* The Journal's submission system (Editorial Manager ) is open for submissions. Please refer to the Guide for Authors to prepare your manuscript and select the article type of ?*VSI: Visual Data for DM*? when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors - Image and Vision Computing - ISSN 0262-8856 (elsevier.com) . Submissions must follow the IMAGE AND VISION COMPUTING journal?s formatting and submission requirements. All manuscripts will undergo rigorous peer review. Contributions must be original and unpublished, focusing on visual data analytics methods and their applications in disaster management. *Important Dates:* - Manuscript Submission Open Date: *July 1st, 2025* - Manuscript Submission Deadline: *October 31st, 2025* - Editorial Acceptance Deadline: *February 28th, 2026* *Guest Editors:* 1. Prof. Ioannis Pitas (Department of Informatics, Aristotle University of Thessaloniki, Greece) 2. Prof. Jose Ramiro Martinez de Dios (Robotics, Vision and Control Group, University of Seville, Spain) 3. Prof. Stefano Berretti (Media Integration and Communication Center, University of Florence, Italy) 4. Dr. Ioannis Mademlis (Department of Informatics, Aristotle University of Thessaloniki, Greece) We look forward to your contributions to this Special Issue on advancing visual data analytics for more effective disaster management and similar real-world applications. -------------- next part -------------- An HTML attachment was scrubbed... URL: From p.gleeson at ucl.ac.uk Mon Oct 13 06:23:14 2025 From: p.gleeson at ucl.ac.uk (Padraig Gleeson) Date: Mon, 13 Oct 2025 11:23:14 +0100 Subject: Connectionists: University College London NeuroAI Annual Conference - 5th Nov - in person and online Message-ID: Dear Colleagues, The 6th annual UCL NeuroAI Conference will take place on Wednesday 5 November 2025 at UCL Great Ormond Street Institute of Child Health in London. The event features leading speakers at the cutting edge of machine learning and neuroscience. The UCL NeuroAI initiative aims to be a central hub where researchers working in neuroscience, AI, machine learning, and related fields can interact and stay updated on the latest advancements in these intersecting areas. Our annual conference is an important opportunity for these communities to gather, make new connections, and benefit from insights in one another?s fields. *Keynote speakers* We are privileged to have a distinguished line-up of speakers and experts confirmed to date. ? ? Leena Chennuru Vankadara (Gatsby Computational Neuroscience Unit, UCL) ? ? Netta Cohen (University of Leeds) ? ? Nathaniel Daw (Princeton University) ? ? Quentin Huys (Institute of Neurology, UCL) ? ? Kenneth Harris (Institute of Neurology, UCL) ? ? Armin Lak (University of Oxford) All information including how to register can be found here . Spaces are limited so we recommend booking asap to avoid disappointment. Registration fee for the conference is ?5. If you are unable to pay for any reason, please contact neuroaievents at ucl.ac.uk. *Poster and lightning talks - Submissions are now open!* This year we will also be accepting abstract submissions for posters or a short lightning presentation as part of the event. The deadline to submit your abstract (200 words) is *Wednesday 15th October, 12pm*. Further details regarding the poster and lighting talks can be found here . *About UCL NeuroAI* The last decade has seen phenomenal advances in the fields of machine learning (e.g. deep learning, reinforcement learning, and AI). While these changes have already had considerable impact on most areas of science they hold a particular resonance for neuroscience. Crucially, AI shares a common lineage with neuroscience and fundamentally machine learning and the brain employ similar computations to process and compress information. For these reasons AI provides a means to emulate neural functions and the circuits supporting them, providing insights to aid our understanding of the brain and cognition. Equally, AI tools provide a means to discover, segment, and track distinct neural and behavioural states - yielding more efficient experiments and accelerating the pace of discovery. In turn, this understanding feeds back into the design of more effective AI architectures and models. Essentially, AI problems posed in neuroscience both require and inspire further advances in AI. *Sponsorship* We are immensely grateful for the support?from the Sainsbury Wellcome Centre , the Crick Partner Networking Fund and AIBIO-UK . We look forward to seeing you there. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tcp1 at leicester.ac.uk Mon Oct 13 06:19:53 2025 From: tcp1 at leicester.ac.uk (Pearce, Timothy C. (Dr.)) Date: Mon, 13 Oct 2025 10:19:53 +0000 Subject: Connectionists: PhD opportunity on neuromorphic environmental sensing Message-ID: Exciting funded PhD opportunity to work on AI-enabled sensor networks for monitoring landfill sites to protect public health. Project Title: Predicting Odorous Events: AI-Enhanced Sensor Networks for Public Health Protection near Landfills Project highlights: ? AI-driven early warning system to forecast malodorous events, allowing public health officials to proactively protect community well-being. ? Develop a high-resolution sensor network to deliver a better understanding of community exposure to harmful landfill gases, enhancing public health risk assessments. ? Technology blueprint for a low-cost, adaptable air quality monitoring and prediction system to safeguard public health in other affected communities nationwide. More details and apply here: https://lnkd.in/eUrHTiAz Application deadline: 9 November 2025 An opportunity to work with the leading UK government experts at the UKHSA and HSE to make a difference to community wellbeing. Please contact Tim Pearce, t.c.pearce at le.ac.uk, if you are interested in more information. This new HPRU is a ?5.5M partnership between the University of Leicester, the UK Health Security Agency (UKHSA) and the Health and Safety Executive (HSE). Through delivery of high-quality research, HPRUs support UKHSA in its objective to protect the health of the public, enabling it to prepare for and respond to major or emerging health protection incidents as well as building an evidence base for health protection policy and practice. The work of the HPRU falls into three broad themes: 1. Environmental exposures and health security 2. Impact on human health of from the environmental and human microbial communities 3. Regulatory and emergency responses to chemical and environmental hazards Best, Tim. -- Tim C. Pearce, PhD FInstP SFHEA (he/him/his) Reader in Bioengineering Head of Biomedical Engineering Research Group (BERG) College of Science and Engineering Health Theme Lead Editor-in-Chief for Connection Science School of Engineering University of Leicester | University Road | Leicester | LE1 7RH | UK t: +44 (0)116 223 1290 e: t.c.pearce at le.ac.uk w: https://le.ac.uk/people/tim-pearce BERG: https://le.ac.uk/engineering/research/berg li: https://www.linkedin.com/in/tim-pearce-808aaa83/ shared calendar: here [cid:22d3f08e-99da-412e-81f3-c92a41def637] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-aibqy25t.png Type: image/png Size: 7548 bytes Desc: Outlook-aibqy25t.png URL: From khaled.shaalan at gmail.com Mon Oct 13 08:20:55 2025 From: khaled.shaalan at gmail.com (Khaled Shaalan) Date: Mon, 13 Oct 2025 16:20:55 +0400 Subject: Connectionists: [2nd CFP]: 7th International Conference on AI in Computational Linguistics (ACLing-2025) Message-ID: ========================= 7th International Conference on AI in Computational Linguistics (ACLing 2025), December 6-7, 2025 (Hybrid Conference) Publication: Procedia Computer Science by ELSEVIER Website: https://acling.org/ ========================= ## IMPORTANT DATES ## * Submission deadline: 27 October 2025 * Acceptance Notification: 3 November 2025 * Final Camera-ready submission: 10 November 2025 * Author Registration & Payment: 17 November 2025 * Conference Date: 6-7 December 2025 ========================= ## INTRODUCTION ## The AI in Computational Linguistics (ACLing) conference serves as a premier international platform for the dissemination of cutting-edge research at the intersection of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). In light of rapid advancements in neural networks and large language models, the conference aims to foster scholarly exchange and collaboration among leading academics, researchers, and industry professionals engaged in the development and application of AI-driven methods in computational linguistics. ACLing welcomes high-quality contributions that address theoretical foundations, novel algorithms, and practical implementations across all dimensions of AI and ML in language technologies. The conference seeks to promote dialogue on emerging trends, innovative solutions, and critical challenges in the field, reflecting the growing importance and societal impact of AI-powered language processing. This year, the conference will be hosted by The British University in Dubai (BUiD), an institution recognized for its dedication to academic excellence, impactful research, and global engagement. BUiD?s commitment to fostering interdisciplinary innovation makes it an ideal venue for this prestigious event. ========================= ## Keynote Speaker# Dr. Muhammad Abdul-Mageed, The University of British Columbia, Canada ( https://mageed.arts.ubc.ca/) ========================= ## TOPICS ## We welcome submissions in (but not limited to) the following areas: * Advanced Information Retrieval and Question Answering * Knowledge and Information Extraction * Linguistic Theories and Formal Resources for AI * Statistical and Neural Language Modeling * Speech Technologies and Multimodal Language Interfaces * Machine Translation and Cross-Lingual NLP * Multilinguality, Code-Switching, and Low-Resource Languages * Domain-Specific NLP (e.g., Legal, Biomedical, Scientific, Educational) * Syntactic Analysis, Tagging, and Parsing * Semantics, Pragmatics, and Commonsense Reasoning * Emotion Recognition, Sentiment Analysis, and Social Signal Processing * NLP for Social Media and Computational Social Science * Conversational AI, Spoken Dialogue, and Interactive Systems * Abstractive and Extractive Text Summarization * Natural Language Generation, Storytelling, and Creative AI * Text Classification, Topic Modeling, and Document Understanding * Text Mining and Large-Scale Knowledge Discovery * Vision-Language Models and Multimodal AI * Ethical, Legal, and Societal Implications of AI in Language Technologies * Large Language Models (LLMs): Architecture, Optimization, and Applications * Responsible and Interpretable AI for Language Understanding * Generative AI: Models, Evaluation, and Emerging Applications * Reinforcement Learning and Prompt Engineering for NLP Tasks * AI for Resource-Poor and Endangered Languages * Human-Centered NLP and User-Aware Language Interfaces * Benchmarking, Evaluation Metrics, and Explainability in NLP * AI-Augmented Writing, Reading, and Translation Tools This wide-ranging list reflects the dynamic nature of the field and aims to encourage interdisciplinary engagement that advances the frontiers of AI-driven language technologies. ========================= ## Submission Guidelines ## All submissions will be peer-reviewed by at least two Program Committee members. All accepted papers will be included in the conference proceedings and will be published in Procedia Computer Science by ELSEVIER. Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of the authors. We encourage submissions that describe original unpublished work not currently under review for any other conference or journal. Submissions should be prepared according to the main conference guidelines and format described at the Submission Web Page: https://acling.org/submission/ Papers must be submitted electronically using the EasyChair conference management system: https://easychair.org/conferences?conf=acling2025 ========================= ## CONFERENCE ORGANIZERS ## * Prof. Khaled Shaalan, The British University in Dubai, UAE * Prof. Samhaa R. El-Beltagy, Newgiza University, Egypt ## INDEXING, RANKING, AND IMPACT (web sources)## ========================= * Abstracting and indexing: https://www.sciencedirect.com/journal/procedia-computer-science/about/insights#abstracting-and-indexing * Scopus/CiteScore: https://www.scopus.com/sourceid/19700182801 * SJR (scimago): https://www.scimagojr.com/journalsearch.php?q=19700182801&tip=sid * ACLing by Google Citation: https://scholar.google.com/citations?user=jkpMuFMAAAAJ&hl=en * ACLing by DBLP: https://dblp.org/db/conf/acling/index.html ## FURTHER INFORMATION & CONTACT DETAILS ## ========================= * Visit the conference website link https://acling.org/ (will be updated on a regular basis). * For general information, please contact us at ACLing2025 at gmail.com or taher.ghazal at ieee.org Regards, Khaled ____________________________________________ Prof. Khaled Shaalan Professor of Computer Science & Artificial Intelligence Head of Computer Science Department | PhD Coordinator, Computer Science Faculty of Engineering & IT, The British University in Dubai (BUiD), UAE -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Mon Oct 13 09:55:42 2025 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Mon, 13 Oct 2025 15:55:42 +0200 Subject: Connectionists: [CfP] International Workshop on Deep Learning for Biometrics and its Applications (DL4BA) - IEEE Big Data In-Reply-To: References: Message-ID: <26bfb770-3a27-4815-bc09-251b14281c8c@ai.univ-paris8.fr> _[Apologies for multiple postings]_ The International Workshop on Deep Learning for Biometrics and its Applications (DL4BA) will be held in Macau, China, from 8 to 11 december 2025, in conjunction with the IEEE International Conference on Big Data (IEEE BigData 2025 ). https://dl4ba2025.sciencesconf.org/ *Overview* Biometrics has become a burgeoning research area due to the industrial and government needs for authentication, identification, security, and privacy concerns. Biometric technology has become useful solution for various applications including access control, surveillance and privacy, hardware security and forensics. During last decade, Deep Learning (DL) has received a great attention to solve difficult and complex problems in various domains. Its ability to automatically learn features from big data has made it a major asset.This workshop aims to present and discuss the recent advances on deep learning applied to biometrics providing innovative solutions to challenging problems in biometrics. It is an opportunity to bring researchers and experts together to discuss the current and future state of biometrics. *Topics of interest include, but are not limited to, the following:* - DL for biometrics-based authentication and identification - Deep biometric feature extraction - Deep biometric feature fusion - DL for biometric data analytics (signal, image, video, ...) - DL for biometric spoofing and deepfake detection - DL for big data challenges in biometrics - DL for multimodal biometrics - DL for soft biometrics - DL for forensic biometrics - DL for biometric security and privacy - Leveraging DL techniques for biometrics - Generative AI in biometrics - Federated learning in biometrics - Related applications *Important Dates* *Oct. 26, 2025* (11:59 pm CST): Due date for full workshop papers submission Nov. 15, 2025: Notification of paper acceptance to authors Nov. 23, 2025: Camera-ready of accepted papers Dec 8-11, 2025: Workshops *Paper submission* - Please submit a full-length paper (up to 10 pages IEEE 2-column format including references) or a short-length paper (5 to 7 pages including references) through the online submission system. - Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. See link to "formatting instructions" here : https://www.ieee.org/conferences/publishing/templates.html - Electronic submissions in PDF format are required. - All papers accepted for this workshop will be published in the Workshop Proceedings of IEEE Big Data Conference, made available in the IEEE eXplore digital library. *Online Submission * https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=S43&undisplay_detail=1&wh=/cyberchair/2025/bigdata25/scripts/ws_submit.php *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 RMBattleday at user.luma-mail.com Mon Oct 13 15:21:50 2025 From: RMBattleday at user.luma-mail.com (Ruairidh Battleday) Date: Mon, 13 Oct 2025 19:21:50 +0000 Subject: Connectionists: You are invited to AE Global Summit 28th-30th October 3 Day Ticket | London Message-ID: <01010199df059938-d5b0c7f0-13b8-4796-9e4b-4b7a74a5fb5c-000000@us-west-2.amazonses.com> You?re invited to AE Global Summit 28th-30th October 3 Day Ticket | London Tuesday, October 28 8:00 AM - Oct 30, 6:00 PM GMT Location: In Person Dear all, It's a pleasure to invite you to our Summit on Open Problems for AI, where we suspect we have the best line-up of speakers and startups in AI of the decade (in the UK). Come along, hear the talks, and meet interesting people at the forefront of AI research, start-up, policy, and investing. You may also meet your future co-founders, investors, and advisors! It's a critical time in AI, for the UK, tech scene, and wider society, and we'd love to have your voice amongst us. Many thanks, and hoping to see some of you at the Summit, Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Accept Invite: https://luma.com/i/dA5t8T1tUA View Event: https://luma.com/i/dA5t8T1tUA Can?t make it? Decline the invite [https://luma.com/i/dA5t8T1tUA] to stop receiving emails about this event. Sent using https://luma.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From vanderdt at ucmail.uc.edu Mon Oct 13 13:46:29 2025 From: vanderdt at ucmail.uc.edu (Vanderelst, Dieter (vanderdt)) Date: Mon, 13 Oct 2025 17:46:29 +0000 Subject: Connectionists: Job: Assistant Professor in Computational Neuroscience at the University of Cincinnati Message-ID: Assistant Professor in Computational Neuroscience at the University of Cincinnati The Department of Biological Sciences at the University of Cincinnati invites applications for a tenure-track Assistant Professor in Computational Neuroscience. We seek candidates working in areas including (but not limited to): ? neural circuit modeling & theoretical analysis ? sensory systems and their computations ? computational methods & algorithm development ? integration of robotics, ML/AI, big data, behavior & neural data The successful applicant will establish an externally funded research program, teach at undergraduate/graduate levels, and supervise students. Collaborations across neuroscience, engineering, computer science, cognition, and medicine are strongly supported. Review of applications begins December 1, 2025; application details are available online. More info / Apply: https://jobs.uc.edu/job/Cincinnati-Assistant-Professor%2C-Biological-Sciences%2C-College-of-Arts-and-Sciences-OH-45201/1333813800/ Inquiries may be directed to Dr. Stephanie Rollmann, stephanie.rollmann at uc.edu From boubchir at ai.univ-paris8.fr Mon Oct 13 10:02:45 2025 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Mon, 13 Oct 2025 16:02:45 +0200 Subject: Connectionists: [CfP] International Workshop on Deep Learning for Biomedical Big Data Analysis (DL4BBDA) - IEEE Big Data In-Reply-To: References: Message-ID: <558ce0dd-72ba-4cc0-8565-99d436d68a81@ai.univ-paris8.fr> _[Apologies for multiple postings]_ The International Workshop on Deep Learning for Biomedical Big Data Analysis (DL4BBDA) will be held in Macau, China, from 8 to 11 december 2025, in conjunction with the IEEE International Conference on Big Data (IEEE BigData 2025 ). https://dl4bbda2025.sciencesconf.org/ *Overview* Due to growing innovations in the biomedical research field, substantial huge volumes of data are generated needing to be explored, analyzed and processed using advanced algorithms and techniques. In artificial intelligence, Deep learning (DL) has received a great attention to solve difficult and complex problems in various domains. Its ability to train learning models for large-volume data as well as their performances compared to conventional machine learning algorithms, as made it a major asset. This workshop aims to present and discuss the recent advances in deep learning for biomedical data analysis and processing. It is an opportunity to bring together academic and industrial scientists to discuss recent advances. *Topics of interest include, but are not limited to, the following:* - DL for biomedical signal analysis and processing (e.g., EEG, EMG, ECG, EOG, ?) - DL for medical image analysis and processing (e.g., CT, MRI, fMRI, PET, SPECT, DTI, ?) - DL for diseases detection and diagnosis (e.g., Epileptic seizure, Alzheimer, Sleep disorders, ?) - DL for pandemics detection and forecasting - DL for biometrics - DL in biomedical engineering - DL for health informatics (healthcare, e-health, m-health, telehealth, ?) - DL for brain-computer interfaces - DL for neural rehabilitation engineering - Generative AI in biomedical research - Related applications *Important Dates* *Oct. 26, 2025* (11:59 pm CST): Due date for full workshop papers submission Nov. 15, 2025: Notification of paper acceptance to authors Nov. 23, 2025: Camera-ready of accepted papers Dec 8-11, 2025: Workshops *Paper submission* - Please submit a full-length paper (up to 10 pages IEEE 2-column format including references) or a short-length paper (5 to 7 pages including references) through the online submission system. - Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. See link to "formatting instructions" here : https://www.ieee.org/conferences/publishing/templates.html - Electronic submissions in PDF format are required. - All papers accepted for this workshop will be published in the Workshop Proceedings of IEEE Big Data Conference, made available in the IEEE eXplore digital library. *Online Submission * https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=S48&undisplay_detail=1&wh=/cyberchair/2025/bigdata25/scripts/ws_submit.php *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 golden at utdallas.edu Mon Oct 13 15:33:44 2025 From: golden at utdallas.edu (Golden, Richard) Date: Mon, 13 Oct 2025 19:33:44 +0000 Subject: Connectionists: Open Rank Faculty Position in Artificial Intelligent Psychological Science Message-ID: Posting Number F01058P Position Title Open Rank Faculty Position in Artificial Intelligence Psychological Science Functional Title Open Rank Faculty Position in Artificial Intelligence Psychological Science Department Psychology Salary Range Negotiable Pay Basis Monthly Position Status Academic Year Location Richardson Position End Date (if temporary) Posting Open Date 10/03/2025 Posting Close Date 03/01/2026 Open Until Filled No Desired Start Date 08/01/2026 Job Summary Position Description The Department of Psychology in the School of Behavioral and Brain Sciences (BBS) at The University of Texas at Dallas (UT Dallas) is accepting applications for a tenure system position for a faculty member whose work interfaces with artificial intelligence (AI). Candidates with postdoctoral training or equivalent research experience are preferred, especially those who have led or contributed to multidisciplinary teams bridging psychology with computer/data science. We welcome profiles spanning: (a) ML/AI as advanced statistics; (b) core AI/generative technologies; and ? computational social science. Strongest consideration may be given to applicants who apply modern AI pipelines and tooling to substantive psychological questions. Evidence of an emerging or established record of high-impact publications; experience building reproducible, well-documented code and analyses; and potential (or success) for extramural funding are highly valued. Ideal candidates can connect AI methods to psychological theory (e.g., cognitive modeling, language and social behavior, clinical assessment, developmental science), teach AI-in-Psychology courses effectively, and mentor students from a range of backgrounds. Preference will be given to applicants who demonstrate responsible/ethical AI practices, open science commitments, and a collaborative approach that enhances BBS research centers and cross-school partnerships. Candidates at all levels will be considered. Teaching responsibilities could include undergraduate and graduate level courses in artificial intelligence in psychology, cognitive science, and/or courses in the applicant?s area of expertise, as well as mentoring of doctoral, master?s-level, and undergraduate students. The appointment commences for the fall 2026 semester. Qualifications Minimum Education and Experience: A PhD or equivalent in Psychology, Cognitive Science, or a related discipline is required prior to appointment. Candidates are expected to demonstrate the ability to work effectively in a highly collaborative, engaging, and dynamic environment comprised of individuals with a range of backgrounds, skills, and perspectives. We are seeking candidates able to produce research and scholarly or creative achievements that enhance the program and the discipline, and able to deliver high quality teaching using evidence-based practices to effectively engage students from a range of backgrounds and experiences. Candidates are expected to demonstrate clear potential for (at the Assistant Professor rank), or an existing track record of, obtaining and maintaining extramural research funding. UT Dallas School of Behavioral and Brain Sciences and the Department of Psychology The University of Texas at Dallas is a Carnegie R1 Research Institution and is among the fastest growing universities in the nation. The School of Behavioral and Brain Sciences (BBS) is one of seven schools at UT Dallas and ranked 2nd in total new research grants and research expenditures over the past year. Within its walls, the School of Behavioral and Brain Sciences (BBS) stands uniquely positioned to advance knowledge and improve lives through the efforts of its 111 faculty and 3,000 students. In North Texas, BBS serves as a trailblazer where research, education, and clinical training come together to prepare future leaders. It is home to world-class faculty with work ranging from bench-top to bedside studies, and ample resources and opportunities for students and faculty alike. In the past year, BBS was recognized by the BlueRidge Institute for being #1 in Texas and #3 in the United States for NIH funding for schools of its type. Within BBS, faculty members are surrounded by colleagues who interface with science and technology at every level of translation ? with a keen focus on using our science to impact the health and well-being of people around the world while training the scientific leaders of tomorrow. Collectively, BBS leads UT Dallas in R&D rate and new awards per faculty member as well as many student success metrics across the university. The Department of Psychology is one of three departments within the School of Behavioral and Brain Sciences. The department houses 44 faculty and has almost 1,400 students. The Department of Psychology was responsible for over $12 million in new extramural grants in the past year and is home to a large number of multi-grant funded faculty members. The department has a distinguished legacy of world class research across cognitive neuroscience and developmental science. It also houses multiple pioneering AI-engaged faculty innovating in the fields of cognitive science and human-computer interface research. The Department has a rich history of housing well-known research centers that lead their respective fields around the globe. For example, psychology faculty are active participants in several BBS affiliated research centers at UT Dallas including the Center for BrainHealth, Center for Vital Longevity, and Center for Children and Families, with multiple centers led by Psychology faculty. The Department of Psychology is home to the BS in Psychology, BS in Cognitive Science, and BS in Child Learning and Development. It is also home to the MS in Psychology, the MS in Human Development and Childhood Disorders, and the PhD in Psychology. It also shares degree programs with the Department of Neuroscience for the MS in Applied Cognition and Neuroscience and the PhD in Cognition and Neuroscience. The BS in Psychology represents the 7th most popular undergraduate major at UT Dallas. In fall 2026, we will enroll our first cohort of Clinical Psychological Science PhD students along with the opening of our Psychological Sciences and Education Center in summer 2026. Application Instructions Applicants should upload the following via the online application: ? Full curriculum vitae and cover letter summarizing their interests and qualifications for the position. ? Statement of teaching philosophy describing their conceptualizations of teaching and learning, and teaching and assessment methods, and how their teaching practices will engage students from a range of backgrounds and experiences. ? Research statement describing past, present, and future research, including how they mentor (or will mentor) student researchers and foster (or will foster) collaborative research environments. ? Full contact information for at least three academic or professional references. Priority will be given to completed applications received by December 1, 2025. Reviews will continue until the position is filled or the search is closed on March 1, 2026. The University and Community UT Dallas is a top public research university located in one of the nation?s fastest-growing metropolitan regions. Our seven schools offer more than 140 undergraduate and graduate programs, plus professional certificates and fast-track programs. Our student body is approximately 30,000 strong, reflecting students from over 100 countries and a multiplicity of perspectives and experiences. Over 65% of our undergraduate students receive some form of need- or merit-based financial aid; and 66% of graduating seniors have no student debt compared to 48% in Texas and 32% in the nation (2021 TICAS report). UT Dallas is committed to graduating well-rounded members of the community whose education has prepared them for rewarding lives and productive careers in a constantly changing world. Our mission centers on providing Texas and the nation with excellent and innovative education and research. The University?s rapid growth is fueled by our creative and enterprising spirt, bright students, innovative programs, renowned faculty, dedicated staff, engaged alumni, and research that matters. The University promotes a welcoming environment through programs and initiatives designed to support engagement and success for members of the campus community. Employee benefits include a range of physical and mental wellness resources, competitive insurance and retirement plan options, lactation facilities located throughout the campus, and Employee Resource Groups (ERGs) comprised of individuals who share common interests to help build community among UT Dallas faculty and staff (e.g., Universal Access ERG, Military and Veteran ERG, UT Dallas Young Professionals). Additionally, the University?s modern campus, 400+ campus organizations, and prime location foster collaboration and community. Situated in Richardson, Texas, the University?s location offers abundant professional development and entertainment options. The Dallas-Fort Worth (DFW) metroplex is rich with visual and performing arts venues, museum districts, professional and semi-professional athletics teams, botanical gardens, accessible trails, and much more, ensuring there?s something for everyone. The University?s partnerships with regional higher education institutions, local school districts, numerous companies, and the Richardson Innovation Quarter (Richardson IQ) ? a major hub for innovation, entrepreneurship, and educational activities ? promotes collaboration, professional growth, and educational excellence. Equal Employment Opportunity The University of Texas at Dallas is committed to providing an educational, living and working environment that is welcoming, respectful, and inclusive of all members of the university community. The University prohibits unlawful discrimination against a person because of their race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, or veteran status. Minimum Education and Experience An earned graduate degree appropriate to the academic discipline and a record of productivity and professional achievement. Preferred Education and Experience Preferred candidates will be researchers with a diverse portfolio of funded research or high potential for funded research. Other Qualifications To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in the position. Essential Duties and Responsibilities Demonstrate a commitment to teaching excellence; Prepare and teach undergraduate and/or graduate classes; Contribute assessment information and data as requested; Mentor and/or advise undergraduate and/or graduate students; Establish and/or continue an independent line of research; Continue to expand professional influence in the academic discipline through research and/or publication; Engage in service within the academic unit, the university, and the profession as appropriate based on teaching and research constraints; Teachtwo or three (2 or 3) classes each academic year. Physical Activities Working Conditions Additional Information Special Instructions Summary Important Message 1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public. 2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator. Richard Golden Program Head, Masters Program in Applied Cognition and Neuroscience Program Head, Undergraduate Program in Cognitive Science Professor of Cognitive Science and Participating Faculty Member in Electrical Engineering University of Texas at Dallas Richard Golden - UT Dallas Profiles https://labs.utdallas.edu/coinslab/ Author: ?Statistical Machine Learning: A Unified Framework? (CRC Press, 2020). (www.statisticalmachinelearning.com) -------------- next part -------------- An HTML attachment was scrubbed... URL: From antona at alleninstitute.org Tue Oct 14 00:10:55 2025 From: antona at alleninstitute.org (Anton Arkhipov) Date: Tue, 14 Oct 2025 04:10:55 +0000 Subject: Connectionists: AAAI 2026 workshop "Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence" Message-ID: Dear Colleagues, An update and a friendly reminder about the Workshop ?Neuro for AI & AI for Neuro: Towards Multi-Modal Natural Intelligence? at the AAAI 2026 conference in Singapore on January 27, 2026. Thanks to those who submitted their papers so far, and we are looking forward to all your submissions by October 30, 2025. Updated list of confirmed speakers: * Guozhang Chen (Peking University) * Dmitri "Mitya" Chklovskii (Flatiron Institute, NYU) * Elisa Donati (University of Zurich and ETHZ) * Adrienne Fairhall (Universtiy of Washington) * Patrick Mineault (Amaranth Foundation) * Adeel Razi (Monash University) * Martin Schrimpf (EPFL) * Mike Zheng Shou (National University of Singapore) * Andreas Tolias (Stanford University) Please see details below and at https://neuroai-multimodal-workshop.github.io/. We invite submissions of full papers or abstracts that describe new research, work in progress, or position statements on relevant topics. Original, unpublished submissions may be considered for a special issue on "Neuroscience and AI" in the Journal of Neural Engineering. The full paper submissions should be 8 pages maximum, excluding references, and the abstract submissions should be 2 pages maximum, excluding references, in the AAAI two-column format. Please submit your work by October 30, 2025 at https://openreview.net/group?id=AAAI.org/2026/Workshop/NeuroAI. Organizing Committee: * Reza Abbasi-Asl, University of California, San Francisco * Asim Iqbal, Tibbling Technologies / Weill Cornell Medicine * Sophia Sanborn, Stanford University * Shinya Ito, Allen Institute * Anton Arkhipov, Allen Institute * Naomi Donovan, University of California, San Francisco * Macarena Aloi, Allen Institute Description of workshop: This workshop will unite researchers in artificial intelligence, computational neuroscience, and neuromorphic engineering to explore the critical two-way exchange between biology and machine learning. Our main objective is to bridge these fields to accelerate foundational progress in multimodal natural intelligence. The ?Neuro ? AI? theme will investigate how principles from cortical microcircuits, such as sparse coding, dendritic nonlinearities, and cell-type diversity, can inspire novel, efficient, and robust AI architectures like transformers and graph-based models. Conversely, the ?AI ? Neuro? theme will showcase how advanced machine-learning techniques are revolutionizing neuroscience, enabling new insights into neural dynamics through AI-driven analysis of large-scale imaging, electrophysiological, and behavioral data. By bridging the gap between biologically grounded inductive biases for AI and scalable computational tools for neuroscience, this workshop aims to catalyze research that unifies theory, experiment, and application. Topics: * Biologically inspired machine learning architectures * Neuro-inspired mechanisms for efficiency (e.g., sparsity, inhibitory-excitatory balance) * AI-driven analysis of large-scale neuroscience data * Unsupervised representation learning and causal inference for circuit discovery * Gradient descent-based training of bio-realistic neural models * Open-source software and reproducible research in NeuroAI * Neuromorphic engineering and hardware implementation Format of Workshop: This will be a one-day, in-person workshop. The format is designed to be highly interactive, featuring a series of invited talks from world-renowned experts, two panel discussions for in-depth Q&A, and spotlight presentations for high-impact contributed papers. A central poster session will provide a forum for detailed discussion and networking. The day will conclude with a roundtable discussion to identify key community challenges and a sponsored social gathering to foster continued collaboration. Attendance: We welcome researchers and practitioners from academia and industry with an interest in the intersection of neuroscience and artificial intelligence. At least one author of each accepted submission must be present at the workshop. The maximum number of attendees is to be determined by the room size and will be communicated by AAAI. Please reach out if you have any questions. We look forward to seeing you in Singapore! Best regards, Reza Abbasi-Asl, Asim Iqbal, Sophia Sanborn, Shinya Ito, Anton Arkhipov, Naomi Donovan, Macarena Aloi Anton Arkhipov Investigator, Allen Institute antona at alleninstitute.org alleninstitute.org brain-map.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Tue Oct 14 06:03:13 2025 From: announce at ucy.ac.cy (Announce) Date: Tue, 14 Oct 2025 10:03:13 +0000 Subject: Connectionists: The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): First Combo Call for Workshop Papers Message-ID: *** First Combo Call for Workshop Papers *** The Annual ACM Conference on Intelligent User Interfaces (IUI 2026) March 23-26, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://iui.hosting.acm.org/2026/ The ACM Conference on Intelligent User Interfaces (ACM IUI) is the leading annual venue for researchers and practitioners to explore advancements at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). IUI 2026 attracted a record number of submissions for the main conference (561 full paper submissions after an initial submission of 697 abstracts). Although the submission deadline for the main conference is now over, we welcome the submission of papers to a number of workshops that will be held as part of IUI 2026. A list of these workshops, with a short description and the workshops' websites for further information, follows below. AgentCraft: Workshop on Agentic AI Systems Development (full-day workshop) Organizers: Karthik Dinakar (Pienso), Justin D. Weisz (IBM Research), Henry Lieberman (MIT CSAIL), Werner Geyer (IBM Research) URL: https://agentcraft-iui.github.io/2026/ Ambitious efforts are underway to build AI agents powered by large language models across many domains. Despite emerging frameworks, key challenges remain: autonomy, reasoning, unpredictable behavior, and consequential actions. Developers struggle to comprehend and debug agent behaviors, as well as determine when human oversight is needed. Intelligent interfaces that enable meaningful oversight of agentic plans, decisions, and actions are needed to foster transparency, build trust, and manage complexity. We will explore interfaces for mixed-initiative collaboration during agent development and deployment, design patterns for debugging agent behaviors, strategies for determining developer control and oversight, and evaluation methods grounding agent performance in real-world impact. AI CHAOS! 1st Workshop on the Challenges for Human Oversight of AI Systems (full-day workshop) Organizers: Tim Schrills (University of L?beck), Patricia Kahr (University of Zurich), Markus Langer (University of Freiburg), Harmanpreet Kaur (University of Minnesota), Ujwal Gadiraju (Delft University of Technology) URL: https://sites.google.com/view/aichaos/iui-2026?authuser=0 As AI permeates high-stakes domains?healthcare, autonomous driving, criminal justice ?failures can endanger safety and rights. Human oversight is vital to mitigate harm, yet methods and concepts remain unclear despite regulatory mandates. Poorly designed oversight risks false safety and blurred accountability. This interdisciplinary workshop unites AI, HCI, psychology, and regulation research to close this gap. Central questions are: How can systems enable meaningful oversight? Which methods convey system states and risks? How can interventions scale? Through papers, talks, and interactive discussions, participants will map challenges, define stakeholder roles, survey tools, methods, and regulations, and set a collaborative research agenda. CURE 2026: Communicating Uncertainty to foster Realistic Expectations via Human- Centered Design (half-day workshop) Organizers: Jasmina Gajcin (IBM Research), Jovan Jeromela (Trinity College Dublin), Joel Wester (Aalborg University), Sarah Sch?mbs (University of Melbourne), Styliani Kleanthous (Open University of Cyprus), Karthikeyan Natesan Ramamurthy (IBM Research), Hanna Hauptmann (Utrecht University), Rifat Mehreen Amin (LMU Munich) URL: https://cureworkshop.github.io/cure-2026/ Communicating system uncertainty is essential for achieving transparency and can help users calibrate their trust in, reliance on, and expectations from an AI system. However, uncertainty communication is plagued by challenges such as cognitive biases, numeracy skills, calibrating risk perception, and increased cognitive load, with research finding that lay users can struggle to interpret probabilities and uncertainty visualizations. HealthIUI 2026: Workshop on Intelligent and Interactive Health User Interfaces (half-day workshop) Organizers: Peter Brusilovsky (University of Pittsburgh), Behnam Rahdari (Stanford University), Shriti Raj (Stanford University), Helma Torkamaan (TU Delft) URL: https://healthiui.github.io/2026/ As AI transforms health and care, integrating Intelligent User Interfaces (IUI) in wellness applications offers substantial opportunities and challenges. This workshop brings together experts from HCI, AI, healthcare, and related fields to explore how IUIs can enhance long-term engagement, personalization, and trust in health systems. Emphasis is on interdisciplinary approaches to create systems that are advanced, responsive to user needs, mindful of context, ethics, and privacy. Through presentations, discussions, and collaborative sessions, participants will address key challenges and propose solutions to drive health IUI innovation. MIRAGE: Misleading Impacts Resulting from AI-Generated Explanations (full-day workshop) Organizers: Simone Stumpf (University of Glasgow), Upol Ehsan (Northeastern University), Elizabeth M. Daly (IBM Research), Daniele Quercia (Nokia Bell Labs) URL: https://mirage-workshop.github.io Explanations from AI systems can illuminate, yet they can misguide. MIRAGE at IUI tackles pitfalls and dark patterns in AI explanations. Evidence now shows that explanations may inflate unwarranted trust, warp mental models, and obscure power asymmetries?even when designers intend no harm. We classify XAI harms as Dark Patterns (intentional, e.g., trust-boosting placebos) and Explainability Pitfalls (unintended effects without manipulative intent). These harms include error propagation (model risks), over-reliance (interaction risks), and false security (systemic risks). We convene an interdisciplinary group to define, detect, and mitigate these risks. MIRAGE shifts focus to safe explanations, advancing accountable, human-centered AI. PARTICIPATE-AI: Exploring the Participatory Turn in Citizen-Centred AI (half-day workshop) Organizers: Pam Briggs (Northumbria University), Cristina Conati (University of British Columbia), Shaun Lawson (Northumbria University), Kyle Montague (Northumbria University), Hugo Nicolau (University of Lisbon), Ana Cristina Pires (University of Lisbon), Sebastien Stein (University of Southampton), John Vines (University of Edinburgh) URL: https://sites.google.com/view/participate-ai/workshop This workshop explores value alignment for participatory AI, focusing on interfaces and tools that bridge citizen participation and technical development. As AI systems increasingly impact society, meaningful and actionable citizen input in their development becomes critical. However, current participatory approaches often fail to influence actual AI systems, with citizen values becoming trivialized. This workshop will address challenges such as risk articulation, value evolution, democratic legitimacy, and the translation gap between community input and system implementation. Topics include value elicitation within different communities, critical analysis of failed participatory attempts, and methods for making citizen concerns actionable for developers. SHAPEXR: Shaping Human-AI-Powered Experiences in XR (full-day workshop) Organizers: Giuseppe Caggianese (National Research Council of Italy, Institute for High-Performance Computing and Networking Napoli), Marta Mondellini (National Research Council of Italy, Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing, Lecco), Nicola Capece (University of Basilicata), Mario Covarrubias (Politecnico di Milano), Gilda Manfredi (University of Basilicata) URL: https://shapexr.icar.cnr.it This workshop explores how eXtended Reality (XR) can serve as a multimodal interface for AI systems, including LLMs and conversational agents. It focuses on designing adaptive, human-centered XR environments that incorporate speech, gesture, gaze, and haptics for seamless interaction. Main topics include personalization, accessibility, cognitive load, trust, and ethics in AI-driven XR experiences. Through presentations, discussions, and collaborative sessions, the workshop aims to establish a subcommunity within IUI to develop a roadmap that includes design principles and methodologies for inclusive and adaptive intelligent interfaces, enhancing human capabilities across various domains, such as healthcare, education, and collaborative environments. TRUST-CUA: Trustworthy Computer-Using Generalist Agents for Intelligent User Interfaces (full-day workshop) Organizers: Toby Jia-Jun Li (University of Notre Dame), Segev Shlomov (IBM Research), Xiang Deng (Scale AI), Ronen Brafman (Ben-Gurion University of the Negev), Avi Yaeli (IBM Research) Zora (Zhiruo) Wang (Carnegie Mellon University) URL: https://sites.google.com/view/trust-cuaiui26/home Computer-Using Agents (CUAs) are moving from point automations to generalist agents acting across GUIs, browsers, APIs, and CLIs?raising core IUI questions of trust, predictability, and control. This workshop advances trustworthy-by-design CUAs through human-centered methods: mixed-initiative interaction, explanation and sensemaking, risk/uncertainty communication, and recovery/rollback UX. Outcomes include (1) a practical TRUST-CUA checklist for oversight, consent, and auditing, (2) a user-centered evaluation profile (?CUBench-IUI,? e.g., predictability, oversight effort, time-to-recovery, policy-aligned success), and (3) curated design patterns and open challenges for deployable, accountable agentic interfaces. Important Dates ? Paper Submission: 19 December, 2025 ? Notification: February 2, 2026 All dates are 23:59h AoE (anywhere on Earth). Organisation General Chairs ? Tsvi Kuflik, The University of Haifa, Israel ? Styliani Kleanthous, Open University of Cyprus, Cyprus Local Organising Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Workshop and Tutorial Chairs ? Karthik Dinakar, Pienso Inc, USA ? Werner Geyer, IBM Research, USA ? Patricia Kahr, Eindhoven University of Zurich, Switzerland ? Antonela Tommasel, ISISTAN, CONICET-UNCPBA, JKU, Argentina, Austria -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.C.Bowes at sussex.ac.uk Tue Oct 14 05:39:34 2025 From: S.C.Bowes at sussex.ac.uk (Simon Bowes) Date: Tue, 14 Oct 2025 09:39:34 +0000 Subject: Connectionists: CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex In-Reply-To: References: Message-ID: CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex (DEADLINE: November 30, 2025) Contact: Simon Bowes (S.C.Bowes at sussex.ac.uk) AISB 2026 will be held at the University of Sussex on the 1st-2nd July. For more information on the convention please see the website at https://aisb.org.uk/. Keynote Speaker: Anil Seth The AISB 2026 convention will follow the same overall structure as previous conventions, namely a set of co-located symposia, and we are seeking proposals for these symposia. Typical symposia last for one or two days, and can include any type of event of academic benefit: talks, posters, panels, discussions, demonstrations, outreach sessions, etc. Proposals for Symposia are welcomed in all areas of AI and cognitive science. Some suggested areas are shown below, although any proposal in the field of AI or cognitive science will be welcomed: ? AI in Education ? Agency & AI ? Art & AI ? Cognitive & Computational Neuroscience ? Computational theory of mind ? Computational Intelligence ? Consciousness ? Embodiment and AI ? Ethics of AI ? Human and Machine Creativity ? Hybrid Human-AI ? Knowledge Representation ? Machine Learning ? Robotics ? Bio-inspired approaches. ? Simulation of Human and Animal Behaviour ? The Turing Test and Philosophical Foundations of AI -------------------------------------------------------------------------------- Proposing a Symposium Each symposium is organized by its own programme committee. The committee proposes the symposium, defines the area(s) and structure for it, issues calls for abstracts/papers etc., manages the process of selecting submitted papers for inclusion, and compiles an electronic file for inclusion in the convention proceedings. Proposers are welcome to submit or be involved with more than one proposal. Proposers need not already be members the AISB and will not be required to become members. They will of course be encouraged to join! Deadline for symposium proposals: 30th November 2025 Notification of acceptance: 15th December 2025 -------------------------------------------------------------------------------- Submissions should consist of the following - A title. - A 300?1000-word description of the scope of the symposium, and its relevance to the convention along with the nature of the academic events (talks, posters, panels, demonstrations, etc.). - Whether the symposium is intended as a sequel to a symposium at a previous AISB conference. - An indication of whether submissions will be by abstract, extended abstract, or full paper. - Your preferences about the intended length of the symposium as a number of days (half a day, one day or two days), together with a brief justification. - A description (up to 500 words) of any experience you have in organization of academic research meetings (please note that it is not a requirement that you have such experience). - Names and affiliations of any invited speakers that you may have in mind for the symposium. - Your names and full contact details, together with, if possible, names and workplaces of the members of a preliminary, partial programme committee. - Please e-mail your completed proposal to Simon Bowes: S.C.Bowes at sussex.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From graduateprograms at bccn-berlin.de Tue Oct 14 09:07:18 2025 From: graduateprograms at bccn-berlin.de (GraduatePrograms) Date: Tue, 14 Oct 2025 15:07:18 +0200 Subject: Connectionists: Scholarships available for BCCN Berlin International Doctoral Program Computational Neuroscience Message-ID: Dear colleagues, we at the Bernstein Center for Computational Neuroscience Berlin are happy to announce that we have two DAAD-funded scholarships for doctoral students available! We will select two excellent doctoral student candidates to receive scholarships from the DAAD as part of the Graduate School Scholarship Program (GSSP). * ? ? The scholarships begin in October 2026 ? 1,300?/ month, for up to a maximum of 4 years, * ? ? In addition to the scholarship, health insurance, accident insurance, and liability insurance will be covered by the DAAD, * ? ? Scholarship recipients can also receive assistance for their rent payments, * ? ? Scholarship recipients with families may receive additional funding, * ? ? Scholarship recipients will have access to a country-specific travel budget from the DAAD, * ? ? Scholarship recipients will have access to additional Study and Research grants, * ? ? Can have German courses financed by the DAAD. To be eligible for the GSSP scholarships, the student must: * ? ? Have an excellent academic profile and must have completed their master's (or equivalent) by the start of the funding period (October 2026), * ? ? Can not have completed their master's (or equivalent) more than 6 years ago, * ? ? At the time of application (March 2026), can not have been a resident in Germany for more than 15 months, * ? ? Can not already have a PhD, * ? ? Can not perform more than 25% of their doctoral work outside of Germany, and external work can not take place at the start of the doctoral project. To be awarded the GSSP scholarship, the student must: 1. Apply to the BCCN PhD program -->*Application deadline March 15th 2026!* 2. A member of the BCCN Berlin must agree to supervise and accept the student to their group for the duration of their PhD. 3. A project proposal outlining the general goals of the doctoral project must have been agreed upon by the student and the BCCN Berlin supervisor by the application deadline. For more information on how to apply to the International Doctoral Program Computational Neuroscience of the BCCN Berlin, please see our website: https://www.bccn-berlin.de/doctoral-program-application.html Finally, we organize an Information session about our graduate programs which will take place in January 2026: https://www.bccn-berlin.de/events-list/information-day-2026-international-graduate-programs-computational-neuroscience.html Please share this information with anyone who may be interested. Best regards, Lisa Velenosi -- Dr. Lisa Velenosi Teaching Coordinator of the SFB1315 & BCCN Berlin Humboldt-Universit?t zu Berlin Philippstra?e 13, Haus 6; 10115 Berlin; Germany Tel: +49 (0)30 2093-98503 -------------- next part -------------- An HTML attachment was scrubbed... URL: From serafeim.perdikis at essex.ac.uk Tue Oct 14 17:23:36 2025 From: serafeim.perdikis at essex.ac.uk (Perdikis, Serafeim) Date: Tue, 14 Oct 2025 21:23:36 +0000 Subject: Connectionists: Essex BCI-NE webinar: Embodied VR Feedback in Restorative MI-BCIs by Dr Athanasios Vourvopoulos In-Reply-To: References: Message-ID: Dear all, A gentle reminder for today's BCI-NE seminar featuring Dr Athanasios Vourvopoulos. [cid:image001.png at 01DBDC47.6C149AC0] https://www.linkedin.com/company/essex-bcine-lab/ The Essex BCI-NE Lab invites you to join our next monthly webinar: Embodied VR Feedback in Restorative MI-BCIs Delivered by Dr Athanasios Vourvopoulos (LaSEEB, University of Lisbon) The webinar will take place over Zoom on Wednesday, 15th October 2025, at 3pm UK time RSVP: https://www.linkedin.com/events/7381581860214185986/ Abstract: Over the past decade, immersive virtual reality (VR) combined with brain?computer interfaces (BCIs) has emerged as a promising approach for neurorehabilitation after stroke. Motor imagery (MI)-based BCIs, when enhanced with embodied VR feedback, can engage motor networks in the absence of overt movement and promote neuroplasticity. This talk will highlight our research in VR-BCIs showing findings from experimental and clinical studies underscoring its promise for neurorehabilitation. Speaker Biography: Athanasios (Thanos) Vourvopoulos is Assistant Professor at Instituto Superior Tecnico (IST)/University of Lisbon, and Researcher at the Institute for Systems and Robotics (ISR/LaSEEB). His research is focused on developing non-invasive EEG-based Brain-Computer Interface (BCI) systems integrated with virtual environments and robotic platforms to support neurorehabilitation for neurological and cardiovascular conditions. This work lies at the intersection of biomedical and computer engineering, focusing on enhancing brain-computer interaction for communication and control while also investigating brain recovery mechanisms. Finally, this work has gained international recognition through various awards, including the "Best Early Career Award" by the International Society for Virtual Rehabilitation (ISVR). The Essex BCI-NE Lab webinars series takes place on the first or second Wednesday of the month over Zoom and are open to all. Speakers are invited to talk about their research for 45-50 minutes followed by Q&A. Where speakers allow it, we record the talks and make them available to everyone on our YouTube channel. You can watch previous talks at: https://www.youtube.com/@essexbcis If you don?t want to miss our next webinars, please email serafeim.perdikis at essex.ac.uk to ask to be added to our webinars mailing list. Best wishes, Simis Dr Serafeim Perdikis, Associate Professor (Senior Lecturer) Brain-Computer Interfaces and Neural Engineering Laboratory School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park, Colchester CO4 3SQ United Kingdom -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 200685 bytes Desc: image001.png URL: From Donald.Adjeroh at mail.wvu.edu Tue Oct 14 23:03:36 2025 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 15 Oct 2025 03:03:36 +0000 Subject: Connectionists: Call for Papers: IEEE BIBM-LncRNA'25: Workshop on Long Non-Coding RNAs In-Reply-To: References: , , , , Message-ID: ________________________________ From: Donald Adjeroh Sent: Tuesday, September 30, 2025 8:09 AM To: Donald Adjeroh Subject: Call for Papers: IEEE BIBM-LncRNA'25: Workshop on Long Non-Coding RNAs Apologies if you receive multiple copies ... See our website: BIBM- LncRNA'2025: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2025/ Paper submission deadline: Oct. 28, 2025 -- see below Call for Papers The IEEE BIBM 2025 Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2025 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2024), Dec. 15-18, 2025. Though the BIBM conference will be held in Wuhan, China, the LncRNA workshop will be held in a mixed mode -- both virtual/remote and in-person in Wuhan, China. BIBM- LncRNA'2025: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2025/ IEEE BIBM 2025: https://ieeebibm.org/BIBM2025/ 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 * lncRNAs and circular RNAs * Studying methylation regulating lncRNA functions * Function Prediction for lncRNAs * Deep learning approaches to lncRNA/RNA binding protein prediction * Computational approaches to analyzing lncRNAs * Foundation models for lncRNAs/RNAs * AI models for lncRNAs/RNAs * LncRNAs in the era of Generative AI * Single cell omics and lncRNAs * Spatial omics and lncRNAs * lncRNA 3D secondary structures * lncRNA-protein interactions * lncRNAs 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. 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 was published by the journal 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 28, 2025, 11:59:59 PM WST: Due date for full workshop paper submission. Nov 11, 2025: Notification of paper acceptance to authors Nov 21, 2025: Camera-ready of accepted papers Dec 15-18, 2025: Workshops and Conference BIBM-LncRNA'25 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2025/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Wed Oct 15 04:38:22 2025 From: efipatm at gmail.com (Efi P) Date: Wed, 15 Oct 2025 11:38:22 +0300 Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Dr. Anjali Diwan (IEEE DataPort Streeing Committee, Marwadi University): "The Double-Edged Sword: AI, Multimedia Forgery, and the Battle for Reality", October 21, 2025 - 17:00 CET. Message-ID: Dear AI scientist/engineer/student/enthusiast, Dr. Anjali Diwan (IEEE DataPort Streeing Committee, Marwadi University) will deliver the e ? lecture: *"**The Double-Edged Sword: AI, Multimedia Forgery, and the Battle for Reality":* ? *Date: **21 October 2025* ? *Time*: *1**7:00-18:00 CET* *?* For more details, click *here * The *International AI Doctoral Academy (AIDA) * is very pleased to offer you top quality scientific lectures in the framework of AIDA AI Excellence Lecture Series on several current hot AI topics. Lectures will be offered alternatingly by: - Top highly cited senior AI scientists internationally or - Young AI scientists with promise of excellence (AI sprint lectures) These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list . Best regards Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, J. Stefanowski AIDA AI Excellence Lecture Series committee members -------------- next part -------------- An HTML attachment was scrubbed... URL: From qobi at qobi.org Wed Oct 15 05:57:20 2025 From: qobi at qobi.org (Jeffrey Mark Siskind) Date: Wed, 15 Oct 2025 05:57:20 -0400 Subject: Connectionists: recruiting PhD students at Purdue University ECE in neuroscience/AI Message-ID: I am recruiting PhD students interested in working at the intersection of neuroscience, AI, machine learning, computer vision, natural language processing, and robotics. My group conducts fMRI and EEG studies to study conceptual processing in humans including object and activity recognition, the vision-language interface, the compositional nature of human vision and language, i.e. how predicates combine with arguments, and mathematical reasoning. My group also conducts research into machine systems that ground language in vision and robotics, both manipulation and navigation, as well as automatic differentiation (AD). Strong candiates interested in working with me in these areas should apply to: https://www.purdue.edu/academics/ogsps/admissions/how-to-apply/index.html for the Elmore Family School of Electrical and Computer Engineering at the West Lafayette campus. While the deadline is 1 December 2025, it is strongly suggested to submit a full application as early as possible. While Purdue does not require GRE scores (they can be optionally included in your application) and accepts either TOEFL or IELTS for international students, I require GRE scores and accept only TOEFL for full consideration. Interested candidates are strongly suggested to contact me at qobi at qobi.org after you have submitted a complete application. Thanks, Jeff (http: //engineering.purdue.edu/~qobi) From engr.aqdus at gmail.com Wed Oct 15 06:49:47 2025 From: engr.aqdus at gmail.com (Muhammad Aqdus Ilyas) Date: Wed, 15 Oct 2025 12:49:47 +0200 Subject: Connectionists: MSPARC 2026: Workshop on Multimodal Signal Processing for Attentional Resource Cognition (MSPARC) @ IEEE ICASSP. May 4-8, Barcelona, Spain Message-ID: [Apologies if you got multiple copies of this invitation] *Multimodal Signal Processing for Attentional Resource Cognition (MSPARC) * at *IEEE ICASSP 2026 * May 4-8, Barcelona, Spain MSPARC investigates how Modeling Eye, Brain, Speech, and Behavioral Signals for Cognitive Resource Allocation can deepen our understanding of attentional resource management in human cognition. By integrating signals from brain activity (EEG/fMRI), eye movements, pupillometry, speech, and behavior, we can build comprehensive models of how cognitive resources are distributed and modulated in real-time. We invite the submission of original papers on all topics related to signal processing, cognitive neurosciences, AI/ML, and human-computer interaction (HCI), with special interest in, but not limited to: - Multimodal Signal Processing: Integration of EEG, fMRI, MEG, eye-tracking, pupillometry, speech, and behavior for attention and resource models - Real-Time Cognitive Monitoring: Low-latency algorithms, edge computing, wearables for continuous assessment of attention, load, and workload - Machine Learning for Attention: Deep learning, transformers, LLMs for lapse prediction, individual modeling, and personalized resource management - Clinical Tools: Biomarkers, diagnostics (ADHD, TBI), neurofeedback, cognitive rehabilitation, and attention-enhancement interventions - Educational Applications: Attention-aware LMS (learning management systems), adaptive content, engagement monitoring, and personalized pacing - Workplace Systems: Overload prevention in aviation, surgery, transport, and driver - monitoring, fatigue detection, and team load balancing - Immersive Tech: Attention-adaptive AR/VR, BCIs, gaze-based interaction, and cognitive load-responsive mixed reality - Auditory Attention: Hearing aids, attended speech enhancement with EEG/eye-tracking, adaptive acoustic processing, and scene analysis - Theoretical Frameworks: Attention as a resource, standardized protocols, benchmark datasets, ecological validity, and cross-modal validation *Submission and Guidelines Proceedings* Manuscripts should be prepared according to the ICASSP 2026 format. Submission should be a maximum of 4 pages + 1 page for references. Please follow the templates provided in the Paper Kit . Do not use the templates from ICASSP 2025. Accepted papers will appear in the proceedings of ICASSP 2026 and will be published by IEEE Xplore. *Contact:* Please send any inquiries to MSPARC Organizers: *msparc at compute.dtu.dk * -------------- next part -------------- An HTML attachment was scrubbed... URL: From Thanveer.Shaik at unisq.edu.au Wed Oct 15 05:19:38 2025 From: Thanveer.Shaik at unisq.edu.au (Thanveer Shaik) Date: Wed, 15 Oct 2025 09:19:38 +0000 Subject: Connectionists: IEEE IIB - Call for Ph.D. Thesis Abstracts Message-ID: [ Apologies if you got multiple copies of this message] ---------------------------------------------------------------- Call for Ph.D. Thesis Abstracts (defended in 2025) IEEE Intelligent Informatics Bulletin URL: https://www.comp.hkbu.edu.hk/~cib/index.html ---------------------------------------------------------------- Important Dates * Submission Deadline: October 31, 2025 * Notification: November 30, 2025 ---------------------------------------------------------------- AIMS: The IEEE Intelligent Informatics Bulletin is the official publication of the Technical Committee on Intelligent Informatics (TCII) of the IEEE Computer Society. It aims at promoting the excellent research on the wide spectrum of intelligent informatics, as well as displaying the news/reports on TCII related conferences and other activities. The Technical Committee on Intelligent Informatics (TCII) of the IEEE Computer Society deals with tools and systems using cognitive and intelligent paradigms such as machine learning incl. deep learning, natural language processing, medical informatics, knowledge engineering incl. knowledge graphs, data mining, Web intelligence, brain informatics, intelligent agent technology, parallel and distributed information processing with research and applications in big data, computer vision, virtual reality, recommender systems, social media, Internet of Things, smart city, robotics, humaniods, self-driving cars, wearable devices, and so on. Publishing Ph.D. thesis abstracts is an initiative of the IEEE Intelligent Informatics Bulletin since 2017. The objective is to provide a platform allowing young scholars at the beginning of their career to introduce their high-quality research work under intelligent informatics to the respective community. Also, it is hoped that the culture of interaction/cooperation among different subdomains of intelligent informatics can be further facilitated. The TCII (co-)sponsors the IEEE International Conference on Data Mining (ICDM), the IEEE/WIC/ACM International Conference on Web Intelligence (WI), the IEEE International Conference on Big Data (BigData), European Intelligence and Security Informatics Conference (EISIC), IEEE International Conference on Agents (ICA), IEEE Internation Conference Knowledge Graph (ICKG), and IEEE International Conference on Healthcare Informatics (ICHI). If you are a member of the IEEE Computer Society, you may join the TCII without cost. Just fill out the registration form at https://www.comp.hkbu.edu.hk/~cib/submission.html. ---------------------------------------------------------------- Submission Instructions ---------------------------------------------------------------- Please submit the title and the abstract of your Ph.D. thesis ( with not more than 500 words ) by the submission deadline. The submitted abstracts will be reviewed by the editorial board members of the Bulletin, and we plan to publish the top 10-20 abstracts. Submissions should be made through the following hyperlink: https://www.comp.hkbu.edu.hk/~cib/submission.html Each submission should be an abstract (written in English) with the problem being addressed and contributions clearly highlighted. In addition, you are required to submit a URL linking to the thesis's soft copy when it is available. Please also refer to the selected Ph.D. thesis abstracts we published in previous years (https://www.comp.hkbu.edu.hk/~cib/2023/PhD_Abstracts.pdf). In case more details are needed, please contact: editor at ieee-iib.org We are looking forward to your submissions! __________________________________________________________________ This email (including any attached files) is confidential and is for the intended recipient(s) only. If you received this email by mistake, please, as a courtesy, tell the sender, then delete this email. The views and opinions are the originator's and do not necessarily reflect those of the University of Southern Queensland. Although all reasonable precautions were taken to ensure that this email contained no viruses at the time it was sent we accept no liability for any losses arising from its receipt. The University of Southern Queensland is a registered provider of education with the Australian Government. (CRICOS Institution Code QLD 00244B / NSW 02225M, TEQSA PRV12081) -------------- next part -------------- An HTML attachment was scrubbed... URL: From daniela.fogli at unibs.it Wed Oct 15 11:48:57 2025 From: daniela.fogli at unibs.it (Daniela FOGLI) Date: Wed, 15 Oct 2025 17:48:57 +0200 Subject: Connectionists: [CFP] Advanced Visual Interfaces / AVI 2026 / 1st Call for Workshop Proposals Message-ID: <33C12F67-75D8-43CB-8768-F6B147F27700@unibs.it> ====================================== 8-12 June 2026 Venice, Italy http://unive.it/avi2026 ====================================== IMPORTANT DATES - Workshop proposals submission: December 14, 2025 - Notification: December 21, 2025 - Workshop website online: January 12, 2026 (all deadlines are 23:59, AoE) --------------------------------------------------------------------------- WORKSHOP PROPOSALS We invite proposals for workshops that will facilitate the exchange of new ideas in all areas related to Advanced Visual Interfaces and Human-Computer Interaction. We invite organizers to propose either half-day or one-day long workshops held between June 8 and 12, 2026, at the AVI2026 venue. Workshop proposals must be submitted using the following form: https://forms.gle/v7gEKFchxAGzMJtj8 Workshop Chairs - Daniela Fogli, Universit? di Brescia, Italy (daniela.fogli at unibs.it) - Kyle Montague, Northumbria University, UK (kyle.montague at northumbria.ac.uk) --------------------------------------------------------------------------- 18th International Conference on Advanced Visual Interfaces (AVI) 2026 Interactive Creativity: Agencies, Interfaces, and Ethics Since its first edition in 1992, AVI has become an influential space for encounters among scholars and practitioners interested in interfaces, interactions, and experiences. Rooted in pioneering research on visual interfaces characterized by a distinctive attention to the human factor, the conference has evolved across the different waves of Human-Computer Interaction (HCI). It has addressed the pragmatic and hedonic needs of heterogeneous groups of users up to the current challenge of self-actualization. Creativity is a core behavior that leads to the realization of a person?s full potential and the explosion of generative AI presents both opportunities and challenges to human creativity. They address fundamental issues related to agencies, interfaces, and ethics. AVI 2026 will take place in San Servolo, a small island of Venice. This delicate and fragile ecosystem provides the ideal venue to reflect, reframe, and speculate about creative solutions to more sustainable and rewarding technological futures. AVI is an International Conference considering the nationality of participants, authors, and organizing committees. However, it has always taken place in Italy, thus complementing a strong and diverse research program with carefully selected cultural and social activities alongside a distinct sense of hospitality and conviviality. The conference is held under the patronage of the Free University of Bozen-Bolzano and Ca? Foscari University of Venice, Italy. We look forward to your participation in AVI 2026! Antonella De Angeli, AVI 2026 General Co-Chair Albrecht Schmidt, AVI 2026 General Co-Chair Rosella Gennari, AVI 2026 Program Co-Chair Fabio Pittarello, AVI 2026 Program Co-Chair --------------------------------------------------------------------------- MAIN THEMES AND TOPICS Themes and topics of interest include (but are not limited to) the following: / Theme: Interaction Paradigms and Modalities / Brain-Computer Interaction Embodied and Tangible Interaction Material-Centric Interaction Information Visualization Screen-based Interaction Voice and Sound-based Interaction Multimodal Interaction / Theme: Interaction Spaces / Augmented Reality Cross Reality Virtual Reality Interaction between Black-Boxes Dynamic Physical Environments Natural Environments Urban Places / Theme: Human-System Interaction / Adaptive and Context-Aware Interfaces Affective Interfaces Human-Robot Interaction Intelligent Interfaces Interfaces and Recommender Systems / Theme: Ecosystems of People, Groups and Societies / Computer-Supported Cooperative Work Learning Ecosystems Game and Play Ecosystems Social Interaction and Cooperation Systems / Theme: Values and Moral Principles / Beyond Human Interaction Critical Computing Critical Data Science Diversity, Equity, and Inclusion Responsible Design / Theme: Applications / Cultural Heritage and Digital Humanities End User Development AI Art and Creativity Human Factors in Security Systems Health, Well-being, and Self-Actualization --------------------------------------------------------------------------- AVI 2026 ORGANIZING COMMITTEE General Chairs Antonella De Angeli, Free University of Bozen-Bolzano, Italy (antonella.deangeli at unibz.it) Albrecht Schmidt, Ludwig-Maximilians Munich University, Germany (albrecht.schmidt at um.ifi.lmu.de) Program Chairs Rosella Gennari, Free University of Bozen-Bolzano, Italy (gennari at inf.unibz.it) Fabio Pittarello, Ca? Foscari University of Venice, Italy (pitt at unive.it) Long Papers Chairs Paloma Diaz, Carlos III University, Madrid, Spain (pdp at inf.uc3m.es) Alessandra Melonio, Ca? Foscari University of Venice, Italy (alessandra.melonio at unive.it) Short Papers Chairs Luigi De Russis, Politecnico di Torino, Italy (luigi.derussis at polito.it) Mar?a Men?ndez Blanco, Free University of Bozen-Bolzano, Italy (Maria.MenendezBlanco at unibz.it) Proceedings Chairs Niccol? Pretto, Free University of Bozen-Bolzano, Italy (niccolo.pretto at unibz.it) Workshops Chairs Daniela Fogli, Universit? di Brescia, Italy (daniela.fogli at unibs.it) Kyle Montague, Northumbria University, UK (kyle.montague at northumbria.ac.uk) Interactive Experiences and Demos Chairs Stefania De Vincentis, Ca? Foscari University of Venice, Italy (stefania.devincentis at unive.it) Florian Michahelles, TU Wien, Austria (florian.michahelles at tuwien.ac.at) Sebastiano Vascon, Ca? Foscari University of Venice, Italy (sebastiano.vascon at unive.it) Posters Chairs Alba Bisante, Sapienza University of Rome, Italy (bisante at di.uniroma1.it) Tanja Doering, TU Berlin, Germany (tanja.doering at mms.tu-berlin.de) Doctoral Consortium Chairs Rosa Lanzilotti, University of Bari, Italy (rosa.lanzilotti at uniba.it) Monica Divitini, Norwegian University of Science and Technology, Norway (divitini at ntnu.no) Industry Chairs Fabio Morreale, Sony, Spain (Fabio.Morreale at sony.com) Emanuele Pucci, Politecnico di Milano (emanuele.pucci at polimi.it) Accessibility and Inclusion Chairs Marco Mores, Free University of Bozen-Bolzano, Italy (marco.mores at student.unibz.it) Teresa Scantamburlo, University of Trieste, Italy (teresa.scantamburlo at units.it) Web Chair Tommaso Pellegrini, Ca? Foscari, University of Venice, Italy (tommaso.pellegrini at unive.it) Publicity & Social Networks Chairs Andrea Rezzani, Free University of Bozen-Bolzano, Italy (andrea.rezzani at student.unibz.it) Mehdi Rizvi, University of East Anglia, UK (mehdi.rizvi at uea.ac.uk) Student Volunteers Chairs Daniel Bermudez, Free University of Bozen-Bolzano, Italy (JulioDaniel.BermudezChinea at student.unibz.it) Bilal Khan, Free University of Bozen-Bolzano, Italy (MuhammadBilal.Khan at student.unibz.it) --------------------------------------------------------------------------- AVI STEERING COMMITTEE Paolo Bottoni, Sapienza University of Rome, Italy Cristina Conati University of British Columbia, Canada Emanuele Panizzi, Sapienza University of Rome, Italy Ilaria Torre University of Genoa, Italy Genny Tortora University of Salerno, Italy Giuliana Vitiello University of Salerno, Italy Gualtiero Volpe University of Genoa, Italy Marco Winckler Universit? C?te d'Azur, France -- Informativa sulla Privacy:?https://www.unibs.it/it/node/1452 From roderich.gross at tu-darmstadt.de Wed Oct 15 10:56:06 2025 From: roderich.gross at tu-darmstadt.de (=?utf-8?B?R3Jvw58sIFJvZGVyaWNo?=) Date: Wed, 15 Oct 2025 14:56:06 +0000 Subject: Connectionists: [CfP] ANTS 2026: 15th International Conference on Swarm Intelligence Message-ID: <497B2E11-5177-411D-934C-11F796A6F8A4@tu-darmstadt.de> Third Call for Papers ANTS 2026 ? 15th International Conference on Swarm Intelligence June 8?10, 2026 darmstadtium ? Science and Congress Center, Darmstadt, Germany https://ants2026.org ? The submission portal is now open! Important Dates ? Submission deadline: 10 November 2025 ? Notification of acceptance: 30 January 2026 ? Camera-ready deadline: 13 February 2026 ? Conference: 8?10 June 2026 Conference Scope Since its inception in 1998, ANTS has been a highly selective, single-track meeting that provided a forum for discussing advances in the field of swarm intelligence. It solicits submissions presenting significant, original research from researchers and practitioners of any area related to swarm intelligence. Swarm intelligence is an interdisciplinary and rapidly evolving field, rooted in the study of self-organizing processes in both natural and artificial systems. Researchers from disciplines ranging from ethology to statistical physics have developed models that explain collective phenomena, such as decision-making in social insect colonies and collective movements in human crowds. Swarm-inspired algorithms and methods have proven effective in solving complex optimization problems and creating multi-robot and networked systems of unparalleled resilience, adaptability and scalability. Applications of swarm intelligence continue to grow and become increasingly critical for addressing societal challenges such as environmental sustainability, food security, health, and global conflicts. The 2026 theme is: "Reaching beyond ? swarm intelligence across systems, disciplines, and communities." We invite ambitious, exploratory, and cross-disciplinary work to broaden the field?s horizons. For this edition, authors may also submit an accompanying video with their paper. If accepted, the video will appear as electronic supplementary material on Springer Nature Link alongside the publication. Topics of Interest Papers are solicited in all areas of swarm intelligence, including, but not limited to: ? Theoretical foundations of swarm intelligence and collective phenomena ? Modeling and analysis of self-organizing systems in nature, including many-particle systems, cellular systems, insect colonies, bird flocks, and human crowds ? Decision making in large groups e.g. consensus dynamics, mean-field games, social choice theory ? Swarm robotics, including colloidal systems, micro-robots, drones, and other autonomous vehicles ? Swarm optimization algorithms, including ACO, PSO, ABC ? LLMs and GenAI-in-the-loop systems in combination with swarm intelligence ? Large-scale distributed networks, such as smart dust, smart cities, or social networks ? Robotic materials and modular robots capable of self-repair, self-assembly or shape-shifting ? Distributed learning, coordination, and control in many-agent systems ? Human-centered swarm intelligence and human-swarm interaction ? Sustainable technologies for artificial and bio-hybrid swarms ? Creative and expressive uses of swarm principles in art, design and education ? Benchmarking and reproducibility in swarm intelligence research ? Ethical and societal implications of applications of swarm intelligence research ? Applications of swarm intelligence to real-world challenges Speakers ? Plenary: Sharon Glotzer (Michigan, USA) ? Perspective: Amanda Prorok (Cambridge, UK), Liam Young (SCI Arc, USA), Thomas Watteyne (Analog Devices, USA) Submissions Papers should be 7?11 pages (excluding references) using the Springer LNCS LaTeX template. The proceedings will be published in the LNCS series. Selected works will be invited for an extended version in a special issue of Swarm Intelligence. ? Submit your paper now via the portal at https://ants2026.org Continuing with a tradition started at ANTS 2002 , the "Best Paper Award" at ANTS 2026 consists of a custom made sculpture of an ant specially made for the ANTS conference series by the Italian sculptor Matteo Pugliese. Venue ANTS 2026 will be held for the first time in Darmstadt, Germany, at the darmstadtium ? Science and Congress Center, hosted by Technical University of Darmstadt. The venue is within walking distance of the UNESCO World Heritage Mathildenh?he, offering a unique blend of cutting-edge research and cultural heritage. ? More information: https://ants2026.org Follow us on Bluesky and LinkedIn From announce at ucy.ac.cy Thu Oct 16 03:42:33 2025 From: announce at ucy.ac.cy (Announce) Date: Thu, 16 Oct 2025 07:42:33 +0000 Subject: Connectionists: 39th IEEE International Symposium on Computer-Based Medical Systems (CBMS): Second Call for Contributions Message-ID: *** Third Call for Contributions *** 39th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2026) June 3-5 2026, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://2026.cbms-conference.org Attracting a worldwide audience, CBMS is the premier conference for computer-based medical systems, and one of the main conferences in the fields of medical informatics and biomedical informatics. CBMS allows the exchange of ideas and technologies between academic and industrial scientists. The scientific program of IEEE CBMS 2026 will consist of regular and special track sessions with technical contributions reviewed and selected by an international program committee, as well as, keynote talks and tutorials given by leading experts in their fields. The CBMS 2026 edition also aims to host high-quality papers about industry and real case applications as well as allow researchers leading international projects to show to the scientific community the main aims, goals, and results of their projects. We solicit submissions on previously unpublished research work. CALL FOR PAPERS Example areas include but are not limited to: ? Active and Healthy Ageing System ? Analytics and solutions in Public Health ? Artificial intelligence in healthcare ? Big Data Analytics in Healthcare ? Bioinformatics ? Biomarker Discovery and Drug Design ? Biomedical Signal and Image Processing and Machine Vision ? Cognitive Computing in Healthcare ? Computer Supported Cooperative Work in Healthcare (CSCW) ? Databases and blockchain in Medicine or Healthcare ? Data Analysis and Knowledge Discovery in Medicine or Healthcare ? Decision Support and Recommendation Systems in Medicine or Healthcare ? Digital Twins / Personalized AI Models ? e-Health ? Ethics in the application of ICT to biomedicine ? Explainable AI for Decision Support ? Generative AI and Foundational Models for Biomedicine ? Human-Computer Interaction (HCI) in Healthcare ? Knowledge Representation in Medicine or Healthcare ? m-Health ? Medical education using ICT ? Medical Robotics, Intelligent Medical Devices, and Smart Technologies ? Metaverse, Augmented and Intelligent Reality ? Multimodality Data Analysis ? Network and Telemedicine Systems ? Pervasive Computing for Wearables ? Privacy and Security in Healthcare ? Radiomics and Radiogenomics ? Serious Games for Healthcare ? Software Systems in Medicine ? Technology in Clinical and Healthcare Services Research ? Web-Based Delivery of Medical Information Prospective authors are expected to submit their contributions to the general track or one of the special tracks if relevant. Please see the submission guidelines for further details. Submission Guidelines Papers must be submitted electronically using the EasyChair conference management system (see link below). All submissions will be peer-reviewed at least by two Program Committee members. All accepted papers (Regular, Short, and Posters) will be included in the conference proceedings and will be published by IEEE Xplore. Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of the authors. Type of Submissions Each contribution must be prepared following the IEEE two-column format, whose template is available at https://www.ieee.org/conferences/publishing/templates . The authors may choose LaTeX or Microsoft Word templates. CBMS 2026 accepts three types of submissions: ? Regular papers: The length of the contribution is limited to 6 pages, but it is possible to extend the paper length up to 8 pages by paying for each extra page. Check fees for more information. ? Short papers: The length of the contribution is limited to 4 pages and no less than 3 pages, not being possible to extend the paper length. The duration of the oral presentation of short posters will be less than regular ones. ? Posters: The length of the contribution is limited to 2 pages. Poster papers will be included in the proceedings but won?t include oral presentations during the conference. The authors of a poster also need to prepare a real poster to be shown during the conference. For presentation purposes at the conference, the authors must prepare the poster in portrait format. The accepted dimensions are 60 (width) x 80 (length). CALL FOR SPECIAL TRACKS IEEE CBMS 2026 invites proposals for organization of special tracks that will be held in parallel with the general conference track. The themes of the special tracks should not overlap with the general conference topics and should focus on emerging research fields. All tracks are expected to enable stimulating discussions of state-of-the-art, emerging, visionary, and perhaps controversial topics. Their papers should report on significant unpublished work and must meet the same standards as main conference papers. All accepted papers will be included in the conference proceedings. We expect all accepted tracks to adhere to the conference paper submission and reviewing schedule, as outlined in the dates indicated below. Special Tracks chair(s) will be interacting with organisers of accepted workshops to ensure a high-quality workshop program. In the case of detecting several similar submissions, the CBMS 2026 organization can propose the fusion of those proposals. Special Track Requirements The organizers of a special track must comply with a set of principles and obligations, listed below: ? A specific webpage with information about the special track will be created by CBMS after the acceptance notification. The organizers must provide the following information to be added to such webpage: special track description, list of topics, call for papers, submission information (must be the same as CBMS 2026 regular track), special track organizers, special track program committee members, any other relevant information. ? The organizers of the special track are responsible for the peer-review process within their track. They must add their own Program Committee members/reviewers to the submission platform, ensure that receive all the reviews on time, check the quality of the reviews, and establish the acceptance/rejection decision. The final decision will be sent by CBMS 2026 PC Chairs. They also must pay special attention to potential conflicts of interest and ensure that all the general ethical rules of research are followed. ? At least one of the organizers of the special track must register and attend CBMS 2026 in Limassol, Cyprus. The organizer(s) who attend CBMS will also chair the specific session that will be assigned in the agenda to their track. ? The organizers of the special track are responsible for the publicity of their track to try to win as many submissions as possible. Please bear in mind that a special track with less than 4 accepted papers could be canceled. In this case, the accepted papers will be moved to the regular track. Submission Guidelines Each proposal must include: ? Special track title ? Rough estimate of the expected ST size as number of sessions (with 4-5 papers per session) ? A brief biography of ST organizer(s) ? List of Special Track Program Committee members ? A draft of Special Track ?Call for Papers? (important dates must be the same of the main conference) ? One or two appropriate journals or follow up publications: tracks are expected to organize a special issue, if planned. The proposal must be submitted electronically using the EasyChair conference management system (see link below). CALL FOR SHOWCASE / RESEARCH PROJECTS CBMS 2026 will have a special showcase/research projects track session, where we invite (a) scientific papers, (b) demonstrations/posters and (c) research-projects descriptions. Scientific papers: We invite papers (not exceeding 6 pages in length), describing innovative computer-based medical devices or software applications, including practical experiences with such innovations. The papers should be scholarly articles presenting scientific methods, measurements, and experiments. Marketing and sales materials will not be accepted. These papers will be evaluated based on practicality, innovation, scientific rigor, value of the device or application to users, and novelty. They will be published in the proceedings of the conference along with the other papers under this track. Examples of such papers could include but are not limited to: ? Computer-based medical devices that have technical/scientific novelty ? Computer-based medical applications intended for or recently introduced in the field ? Novel uses of traditional equipment in practice ? Experience papers based on use and data from the field ? Insightful measurement-based analysis of computer-based medical systems from the field ? Novel analysis providing new insights from data collected from the field ? New and practical data analytics useful in practice ? Real deployments of AI solutions in medicine Demonstrations: A demonstration is more appropriate if the value can be better expressed with a demonstration rather than in a full-length paper. The topics for the demonstration papers are the same as the scientific for this track. Please submit a proposal of your demonstration with a limit of two pages. Research projects/initiatives: CBMS aims in this edition to receive submissions about research or innovation projects funded by, mainly, competitive calls to present their project. We foresee to receive submissions which include details about the project goals, consortium and results (expected and any tentative result obtained so far). Only projects funded by competitive calls or with strong potential interest for the community will be considered. International projects organized in a consortium of several countries will have preference. Submissions in this context should be a one/two-pages document with at least the following information: ? Project/initiative title ? Description ? Participant entities ? Project goals ? Funding agency (when applies) or agencies ? Results obtained so far (publications, patents, ...) The contribution must be prepared following the regular paper. The length of the contribution must be between 4 and 6 pages. Submission Guidelines Papers must be submitted electronically using the EasyChair conference management system (see link below). All submissions will be peer-reviewed at least by two Program Committee members. All accepted contributions will be included in the conference proceedings and will be published by IEEE Xplore. Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of the authors. CALL FOR DOCTORAL CONSORTIUM The Doctoral Consortium for CBMS 2026 will provide an opportunity for PhD students to present their research plans or their preliminary work in an informal and supportive atmosphere. The PhD students will be able to discuss the problems that their PhDs are addressing, any preliminary results, and their future plans. The DC will offer them an opportunity to discuss any problems that they have come up against, and gain valuable advice and constructive feedback from experienced researchers in the field.The Doctoral Consortium will involve presentations by participating PhD students (selected by the Doctoral Consortium chairs) as well as a number of invited talks / tutorials on different related topics in the field. Submissions Doctoral Consortium submissions should focus specifically on a PhD thesis or subsection of a thesis. To apply for participation at CBMS 2026 Doctoral Consortium, please submit a research plan on a topic related to the areas covered in the general call for papers for the conference. Each submission should be in the same format as the main conference papers except it should consist of approximately 3-5 pages describing your research work. In particular: ? Title and author ? The research problem that your PhD addresses ? Your planned approach and methods for solving the problem ? How your approach compares to other known approaches ? Any preliminary results or expected results ? Future plans and directions with specific questions Papers must be submitted electronically using the EasyChair conference management system (see link below). Doctoral Consortium papers/contributions will be included in the proceedings in a specific ?Doctoral Consortium? section. SUBMISSION LINK FOR ALL TYPES OF CONTRIBUTIONS https://easychair.org/conferences/?conf=ieeecbms2026 OTHER INFORMATION For more information, please contact ieeecbms2026 AT easychair.org . IMPORTANT DATES Papers / ShowCases / Research Projects/ DC ? Submission Deadline: February 20, 2026 (AoE) ? Notification of Acceptance: April 10, 2026 ? Camera-Ready Due: April 24, 2026 (AoE) Special Tracks ? Proposals Deadline: October 24, 2025 (AoE) ? Notification of Acceptance: October 31, 2025 ORGANIZATION CBMS SC Chair ? Rosa Sicilia, University Campus Bio-Medico di Roma, Italy General Chairs ? Mario Cannataro, University "Magna Graecia" of Catanzaro, Italy ? Constantinos S. Pattichis, University of Cyprus, Cyprus Program Chairs ? Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece ? Efthyvoulos Kyriacou, Cyprus University of Technology, Cyprus ? Andreas S. Panayides, CYENS Centre of Excellence, Cyprus Publication Chairs ? Sameer K. Antani, National Library of Medicine & National Institutes Of Health, USA ? Bridget Kana, Karlstad University, Sweden Special Tracks Chairs ? Pietro Cinaglia, University "Magna Graecia" of Catanzaro, Italy ? Christos Loizou, Cyprus University of Technology, Cyprus Showcase / Research Projects Chair ? Pietro Hiram Guzzi, University "Magna Graecia" of Catanzaro, Italy Doctoral Consortium Chair ? Marios Pattichis, University of New Mexico, USA Sponsorship Chair ? KC Santosh, University of South Dakota, USA Local Organizing and Finance Chair ? George A. Papadopoulos, University of Cyprus, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From jesse.grootjen at um.ifi.lmu.de Thu Oct 16 04:35:29 2025 From: jesse.grootjen at um.ifi.lmu.de (Grootjen, Jesse) Date: Thu, 16 Oct 2025 08:35:29 +0000 Subject: Connectionists: =?windows-1252?q?MUM_2025_=96_Deadline_Extension_?= =?windows-1252?q?for_Doctoral_Colloquium?= Message-ID: <7F4AF111-22AB-4444-A4D7-F9BC09C2C939@lmu.de> MUM 2025, the 24th International Conference on Mobile and Ubiquitous Multimedia Enna, Italy, December 1-4, 2025 We are pleased to announce that the submission deadlines for the Doctoral Colloquium have been extended to give you more time to prepare your submissions. New Deadline: October 20, 2025 (AoE), 2-4 pages, with notifications on October 23m 2025 We look forward to receiving your contributions to this leading forum for advances in mobile and ubiquitous multimedia. Registration is now open! Visit https://www.mum-conf.org for complete details and submission guidelines. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jessicac at dei.uc.pt Thu Oct 16 07:12:08 2025 From: jessicac at dei.uc.pt (=?utf-8?Q?Jessica_M=C3=A9gane?=) Date: Thu, 16 Oct 2025 12:12:08 +0100 Subject: Connectionists: [CFP] PPSN 2026, Trento, Italy | August 29 - September 2 Message-ID: <28E26DEA-6313-4281-9C95-C577F969569A@dei.uc.pt> Dear Colleague(s), Below you will find the call for papers, tutorials and workshops for the 19th International Conference on Parallel Problem Solving From Nature (PPSN), a core A-rank conference. Conference: PPSN 2026 Location: Trento, Italy Date: August 29 - September 2, 2026 Important Dates: Workshop proposal deadline: February 8, 2026 Tutorial proposal deadline: February 8, 2026 Paper submission deadline: March 28, 2026 Feel free to distribute, and thank you for your time. Apologies for the cross-posting. We hope to see you in Trento for PPSN! Best regards, Jessica M?gane PPSN Publicity Chair ------------------------------------------------------------------ 19th International Conference on Parallel Problem Solving From Nature (PPSN 2026) August 29 - September 2, 2026 | Trento, Italy | https://ppsn2026.disi.unitn.it/ The International Conference on Parallel Problem Solving From Nature (PPSN) is a biannual open forum fostering the study of natural models, iterative optimization heuristics, machine learning, and other artificial intelligence approaches. PPSN was originally designed to bring together researchers and practitioners in the field of Natural Computing, the study of computing approaches that are gleaned from natural models. Today, the conference series has evolved and welcomes works on all types of iterative optimization heuristics. Notably, we also welcome submissions on connections between search heuristics and machine learning or other artificial intelligence approaches. Submissions covering the entire spectrum of work, ranging from rigorously derived mathematical results to carefully crafted empirical studies, are invited. --------- Call for Papers --------- Paper submission deadline: March 28, 2026 Notification of acceptance: May 22, 2026 Camera-ready papers due: June 12, 2026 ** Submission Details ** - All papers must be original and not simultaneously submitted to another journal or conference. - Papers must be submitted as PDF files in Springer LNCS style through the conference submission portal. The page limit is 14 pages, excluding references. - Authors' names need not be hidden for the reviewing process. - Springer's proceedings LaTeX templates are available on Overleaf. If authors wish to include supplementary material, we suggest they host a separate document online (e.g., Zenodo) and cite it appropriately within the paper. - We encourage authors to select the appropriate paper category in the submission tool and not overuse the "other" category. All PPSN 2026 accepted papers will be presented during poster sessions and included in the conference proceedings, published in the Lecture Notes in Computer Science (LNCS) series by Springer. --------- Call for Workshops --------- Workshop proposal deadline: February 8, 2026 Notification of acceptance: February 22, 2026 We invite proposals for workshops to be held in conjunction with PPSN 2026. The workshops should be forums for presenting and discussing new emerging approaches or for critical reflections within a subfield. They provide an excellent opportunity to meet people with similar interests, to be exposed to cutting-edge research and to exchange ideas in an informal setting. We particularly encourage the proposal of industrial-related workshops. The organizers of an accepted workshop are responsible for its coordination, publicity (i.e., for sending out the call for papers/abstracts, invitation of participants and speakers), and maintaining a webpage providing a list of accepted talks. Paper submission and reviewing (if applicable) is to be organized by workshop organizers. Please note that workshop papers will not appear in the PPSN proceedings. Moreover, organizers can decide on setting up a half-day or full-day workshop. A half-day is approximately 2.5 hours and the full day is approximately 5 hours. We will also consider shorter-form workshops (e.g. 1.5-2 hours) if appropriate. The workshop format is up to the organizers. However, we encourage interactive sessions that foster discussion and active exchange of ideas. We suggest soliciting concept papers or abstracts of not more than a few pages' length, instead of full papers. ** Submission Details ** Prospective workshop organizers are cordially invited to submit a plain-text workshop proposal by email to Sarah Thomson (s.thomson4(at)napier.ac.uk) with a message header following the format WPPSN26: [workshop's title], including the following information: - The title of the workshop. - A brief description of the workshop topic (roughly half a page). - A description of potential target participants and audience. - The planned time format (half day, full day). - An approximate number of participants. - An estimate of the number of talks (considering the time format). - Contact details and a short CV of each organizer. --------- Call for Tutorials --------- Tutorial proposal deadline: February 8, 2026 Notification of acceptance: February 22, 2026 The PPSN 2026 Organizing Committee invites proposals for tutorials to be held in conjunction with PPSN 2026. Topics should enjoy broad interest within the community, ranging from an established or emerging research topic within the field itself, or a related field, to an interesting application area. The proposed topic should facilitate a gentle introduction to the research area, but it should also cover the most important contributions in depth. The planned duration of each tutorial is 90 minutes. We strongly encourage interactive sessions including, e.g., demos of tools and discussions research perspectives in the presented domains. ** Submission Details ** - Prospective tutorial organizers are cordially invited to submit a tutorial proposal in pdf-format by email to: Yuri Cossich Lavinas - yuri.lavinas(at)ut-capitole.fr with a message header following the format ?TPPSN26: [Tutorial?s title]? - An abstract (of no more than 400 words) and up to 4 keywords. - A tutorial description of max. 2 pages. - Classification of your tutorial as ?introductory? or ?advanced?. - Contact details and a short vitae of the organizer(s). - Potential target audience. - Expected number of participants. - Details on previously held versions of the proposed tutorial including venues. News: --------- Call for Sponsors --------- We are looking for sponsors to support and partner with this core A-rank conference. By sponsoring PPSN, your organization will gain visibility within the international research community and contribute to shaping one of the leading events in the field. For sponsorship opportunities and details, please feel free to contact us. We will be happy to discuss this further and provide all needed information. For sponsorship opportunities and details, contact us at ppsn2026 at unitn.it. We will be happy to discuss this further and provide all needed information. ----------- Please check the website for more information: https://ppsn2026.disi.unitn.it/ And follow us at: X - https://x.com/ppsn2026 LinkedIn - https://www.linkedin.com/company/ppsnconference -------------- next part -------------- A non-text attachment was scrubbed... Name: ppsn_cfp_email.png Type: image/png Size: 52421 bytes Desc: not available URL: From pitt at unive.it Fri Oct 17 07:39:35 2025 From: pitt at unive.it (Fabio Pittarello) Date: Fri, 17 Oct 2025 13:39:35 +0200 Subject: Connectionists: Advanced Visual Interfaces / AVI 2026 / 1st Call for Contributions Message-ID: ====================================== 8-12 June 2026 Venice, Italy http://unive.it/avi2026 In-Cooperation with ACM SIGCHI and SIGWEB ====================================== IMPORTANT DATES Workshop proposals: * Submission: December 14, 2025 * Notification: December 21, 2025 Long and Short papers: * Abstract submission: January 18, 2026 * Paper submission: January 25, 2026 Interactive Experiences, Demo and Poster papers: * March 9, 2026 Doctoral Consortium papers: * March 29, 2026 Tutorial proposals: * March 29, 2026 (all deadlines are 23:59, AoE) --------------------------------------------------------------------------- 18th International Conference on Advanced Visual Interfaces (AVI) 2026 Interactive Creativity: Agencies, Interfaces, and Ethics Since its first edition in 1992, AVI has become an influential space for encounters among scholars and practitioners interested in interfaces, interactions, and experiences. Rooted in pioneering research on visual interfaces characterized by a distinctive attention to the human factor, the conference has evolved across the different waves of Human-Computer Interaction (HCI). It has addressed the pragmatic and hedonic needs of heterogeneous groups of users up to the current challenge of self-actualization. Creativity is a core behavior that leads to the realization of a person?s full potential, and the explosion of generative AI presents both opportunities and challenges to human creativity. They address fundamental issues related to agencies, interfaces, and ethics. AVI 2026 will take place in San Servolo, a small island in Venice. This delicate and fragile ecosystem provides the ideal venue for reflecting, reframing, and speculating about creative solutions to more sustainable, inclusive and rewarding technological futures. AVI is an International Conference considering the nationality of participants, authors, and organizing committees. However, it has always taken place in Italy, thus complementing a strong and diverse research program with carefully selected cultural and social activities alongside a distinct sense of hospitality and conviviality. The conference is held under the patronage of the Free University of Bozen-Bolzano and Ca? Foscari University of Venice, Italy. We look forward to your participation in AVI 2026! Antonella De Angeli, AVI 2026 General Co-Chair Albrecht Schmidt, AVI 2026 General Co-Chair Rosella Gennari, AVI 2026 Program Co-Chair Fabio Pittarello, AVI 2026 Program Co-Chair --------------------------------------------------------------------------- MAIN THEMES AND TOPICS Themes and topics of interest include (but are not limited to) the following: / Theme: Interaction Paradigms and Modalities / Brain-Computer Interaction Embodied and Tangible Interaction Material-Centric Interaction Information Visualization Screen-based Interaction Interfaces for Sound and Music Multi-sensory Interaction Multimodal Interaction / Theme: Interaction Spaces / Augmented Reality Cross Reality Virtual Reality Interaction between Black-Boxes Dynamic Physical Environments Natural Environments Urban Places / Theme: Human-System Interaction / Adaptive and Context-Aware Interfaces Affective Interfaces Human-Robot Interaction Intelligent Interfaces Interfaces and Recommender Systems / Theme: Ecosystems of People, Groups and Societies / Computer-Supported Cooperative Work Learning Ecosystems Game and Play Ecosystems Social Interaction and Cooperation Systems / Theme: Values and Moral Principles / Beyond Human Interaction Critical Computing Critical Data Science Diversity, Equity, and Inclusion Responsible Design / Theme: Applications / Cultural Heritage and Digital Humanities End User Development AI and Creativity Human Factors in Security Systems Health, Well-being, and Self-Actualization Training and Learning Systems Industry 5.0 LONG AND SHORT RESEARCH PAPERS We invite submissions of high-quality original research papers that explore the intersections of Advanced Visual Interfaces and Human-Computer Interaction in general. We are particularly interested in work addressing Artificial Creativity from multiple critical perspectives, including agency, politics, and ethics, in relation to the themes and topics of AVI 2026. Both long and short submissions must describe original, unpublished research. All papers will undergo rigorous peer review by a distinguished international panel of experts. Long and short papers must be fully anonymized for the review process, removing information (such as authorship, acknowledgments, name of an application, software, or project) that can suggest the authors' identity. Citation to authors' previous work should not be anonymous and should be in third person in the text, e.g., "As described by [10]" and not "As described in our previous work [10]". Specific information concerning the submission (e.g., submission format) will be made available on the AVI website in due time. INTERACTIVE EXPERIENCES AND DEMO PAPERS The interactive experiences and demo track is intended to provide a forum to showcase interactive installations, innovative implementations, systems, and technologies demonstrating new ideas about Artificial Creativity, in relation to AVI themes and topics, and reaching out to novel communities, e.g., artists. Specific information concerning the submission (e.g., submission format) will be made available on the AVI website in due time. POSTER PAPERS The AVI 2026 Poster Track is dedicated to showcasing work-in-progress that pushes the boundaries of Advanced Visual Interfaces and Human-Computer Interaction. We especially welcome posters that explore Artificial Creativity through a critical lens, addressing its complex dimensions of agency, politics, and ethics. This track offers a valuable opportunity to obtain precious feedback from peers and experts in an engaging, informal setting. Submissions must describe original (though not yet fully completed) research. Specific information concerning the submission (e.g., submission format) will be made available on the AVI website in due time. WORKSHOP PROPOSALS We invite proposals for workshops that will facilitate the exchange of new ideas in all areas related to Advanced Visual Interfaces and Human-Computer Interaction. We invite organizers to propose either half-day or one-day long workshops held between June 8 and 12, 2026, at the AVI2026 venue. Workshop proposals must be submitted using the following form: https://forms.gle/v7gEKFchxAGzMJtj8 DOCTORAL CONSORTIUM The goal of the Doctoral Consortium is to provide a setting for PhD students to present their work and receive feedback on their doctoral research plan and progress. Students will be offered the opportunity to articulate and discuss their problem statement, goals, methods, and results. The Doctoral Consortium also aims at providing students with guidance on various aspects of their research from established researchers and other students participating in the sessions. Finally, the Doctoral Consortium seeks to motivate students in the development of their scientific curiosity and facilitate their networking within the research community. Specific information concerning the submission (e.g., submission format) will be made available on the AVI website in due time. --------------------------------------------------------------------------- AVI 2026 ORGANIZING COMMITTEE General Chairs Antonella De Angeli, Free University of Bozen-Bolzano, Italy ( antonella.deangeli at unibz.it) Albrecht Schmidt, Ludwig-Maximilians Munich University, Germany ( albrecht.schmidt at um.ifi.lmu.de) Program Chairs Rosella Gennari, Free University of Bozen-Bolzano, Italy ( gennari at inf.unibz.it) Fabio Pittarello, Ca? Foscari University of Venice, Italy (pitt at unive.it) Long Papers Chairs Paloma Diaz, Carlos III University, Madrid, Spain (pdp at inf.uc3m.es) Alessandra Melonio, Ca? Foscari University of Venice, Italy ( alessandra.melonio at unive.it) Short Papers Chairs Luigi De Russis, Politecnico di Torino, Italy (luigi.derussis at polito.it) Mar?a Men?ndez Blanco, Free University of Bozen-Bolzano, Italy ( Maria.MenendezBlanco at unibz.it) Proceedings Chairs Niccol? Pretto, Free University of Bozen-Bolzano, Italy ( niccolo.pretto at unibz.it) Nadine Wagener, OFFIS, Oldenburg, Germany (nadine.wagener at offis.de) Workshops Chairs Daniela Fogli, Universit? di Brescia, Italy (daniela.fogli at unibs.it) Kyle Montague, Northumbria University, UK (kyle.montague at northumbria.ac.uk) Interactive Experiences and Demos Chairs Stefania De Vincentis, Ca? Foscari University of Venice, Italy ( stefania.devincentis at unive.it) Florian Michahelles, TU Wien, Austria (florian.michahelles at tuwien.ac.at) Sebastiano Vascon, Ca? Foscari University of Venice, Italy ( sebastiano.vascon at unive.it) Posters Chairs Alba Bisante, Sapienza University of Rome, Italy (bisante at di.uniroma1.it) Tanja Doering, TU Berlin, Germany (tanja.doering at mms.tu-berlin.de) Doctoral Consortium Chairs Rosa Lanzilotti, University of Bari, Italy (rosa.lanzilotti at uniba.it) Monica Divitini, Norwegian University of Science and Technology, Norway ( divitini at ntnu.no) Industry Chairs Fabio Morreale, Sony, Spain (Fabio.Morreale at sony.com) Emanuele Pucci, Politecnico di Milano (emanuele.pucci at polimi.it) Accessibility and Inclusion Chairs Marco Mores, Free University of Bozen-Bolzano, Italy ( marco.mores at student.unibz.it) Teresa Scantamburlo, University of Trieste, Italy ( teresa.scantamburlo at units.it) Web Chair Tommaso Pellegrini, Ca? Foscari, University of Venice, Italy ( tommaso.pellegrini at unive.it) Publicity & Social Networks Chairs Andrea Rezzani, Free University of Bozen-Bolzano, Italy ( andrea.rezzani at student.unibz.it) Mehdi Rizvi, University of East Anglia, UK (mehdi.rizvi at uea.ac.uk) Student Volunteers Chairs Daniel Bermudez, Free University of Bozen-Bolzano, Italy ( JulioDaniel.BermudezChinea at student.unibz.it) Bilal Khan, Free University of Bozen-Bolzano, Italy (MuhammadBilal.Khan at student.unibz.it) --------------------------------------------------------------------------- AVI STEERING COMMITTEE Paolo Bottoni, Sapienza University of Rome, Italy Cristina Conati University of British Columbia, Canada Emanuele Panizzi, Sapienza University of Rome, Italy Ilaria Torre University of Genoa, Italy Genny Tortora University of Salerno, Italy Giuliana Vitiello University of Salerno, Italy Gualtiero Volpe University of Genoa, Italy Marco Winckler Universit? C?te d'Azur, France --------------------------------------------------------------------------- ========================== Fabio Pittarello Universit? Ca' Foscari Venezia - DAIS Via Torino 155 30172 Mestre - Venezia Tel +39 041 2348435 <+39%20041%202348435> E-mail pitt at unive.it ========================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Fri Oct 17 12:37:41 2025 From: terry at salk.edu (Terry Sejnowski) Date: Fri, 17 Oct 2025 09:37:41 -0700 Subject: Connectionists: NEURAL COMPUTATION - November 1, 2025 In-Reply-To: Message-ID: NEURAL COMPUTATION - Volume 37, Number 9 - November 1, 2025 http://www.mitpressjournals.org/toc/neco/37/11 http://cognet.mit.edu/content/neural-computation Articles Diversity Deconstrains Component Limitations in Sensorimotor Control Yorie Nakahira, Quanying Liu, Xiyu Deng, Terrence Sejnowski, and John Comstock Doyle Transformer Models for Signal Processing: Scaled Dot-product Attention Implements Constrained Filtering Terence Sanger Firing Rate Models as Associative Memory Synaptic Design for Robust Retrieval Simone Betteti, Giacomo Baggio, Francesco Bullo, and Sandro Zampieri Note Rapid Re-weighting of Sensory Inputs and Predictions in Visual Perception William Turner, Oh-Sang Kwon, Minwoo JB Kim, and Hinze Hogendoorn Letters Distance Based Logistic Matrix Factorization Tatyana Sharpee, Anoop Praturu Sequential Learning in the Dense Associative Memory Hayden Robert McAlister, Anthony Robins, and Lech Szymanski ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- dale% ~e :q From david at irdta.eu Sat Oct 18 06:32:42 2025 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 18 Oct 2025 12:32:42 +0200 (CEST) Subject: Connectionists: DeepLearn 2026: early registration November 11 Message-ID: <1803115897.193672.1760783562447@webmail.strato.com> ****************************************************** 13th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2026 Orl?ans, France July 20-24, 2026 https://deeplearn.irdta.eu/2026/ ****************************************************** Co-organized by: University of Orl?ans Centre Val de Loire Doctoral College Institute for Research Development, Training and Advice ? IRDTA Luxembourg/London ****************************************************** Early registration: November 11, 2025 ****************************************************** SCOPE: DeepLearn 2026 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, Lule?, Bournemouth, Bari, and Porto. 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, biomedicine and healthcare, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, business and finance, biotechnology, physics and astrophysics, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, earth and sustainability, mathematical proofs, etc. etc. The field is also raising a number of relevant questions about efficiency and robustness of the algorithms, explainability, transparency, interpretability, risks and safety, as well as important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed and main challenges identified through 18 four-hour and a half courses, 2 keynote lectures, 1 round table, and a hackathon competition among participants. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduates, postgraduates and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, hence 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 2026 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 2026 will take place in Orl?ans, located in the heart of the Loire Valley, which was declared by UNESCO a World Heritage Site in 2000. The venue will be: University of Orl?ans Faculty of Law, Economics and Management 11 rue de Blois 45100 Orl?ans, France https://www.univ-orleans.fr/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their industrial developments for 10 minutes. The school will include a hackathon, where participants will be able to work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yingbin Liang (Ohio State University), Theoretical Characterization of Training Transformers for Chain-of-Thought Reasoning Le Song (Mohamed bin Zayed University of Artificial Intelligence), Multiscale Foundation Models for Biology PROFESSORS AND COURSES: (to be completed) Yuejie Chi (Yale University), [introductory/intermediate] Statistical and Algorithmic Foundations of Reinforcement Learning Bo Han (Hong Kong Baptist University), [introductory/intermediate] Trustworthy Machine Learning from Data to Models Jiawei Han (University of Illinois Urbana-Champaign), [intermediate] Structure-Guided, Theme-Based Knowledge Discovery with Large Language Models Mingyi Hong (University of Minnesota), [intermediate] Bilevel Optimization: Theory, Algorithms and Application in AI Cho-Jui Hsieh (University of California Los Angeles), [intermediate/advanced] Optimizers for Large Language Model Training Furong Huang (University of Maryland), [advanced] Generative AI Agents Tara Javidi (University of California San Diego), [intermediate] Active Physical Intelligence for Industrial Scale Monitoring Zhijin Qin (Tsinghua University), [intermediate/advanced] Semantic Communications Aarti Singh (Carnegie Mellon University), [intermediate] Human Centered AI: Challenges and Opportunities Masashi Sugiyama (University of Tokyo), [intermediate] Learning from Imperfect Supervision Zhangyang (Atlas) Wang (University of Texas Austin), [intermediate/advanced] Beyond Sparsity or Low Rank: In-Between Neural and Symbolic Learning Ming-Hsuan Yang (University of California Merced), [advanced] Recent Advances in Multimodal Understanding and Generation Tong Zhang (University of Illinois Urbana-Champaign), [introductory/intermediate] Reinforcement Learning for Foundation Models Jun Zhu (Tsinghua University), [introductory/advanced] Generative Models: from Virtual to Physical World OPEN SESSION: An open session will collect 5-minute voluntary oral presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 12, 2026. 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. Abstracts have to be submitted to david at irdta.eu by July 12, 2026. HACKATHON: A hackathon will take place, where participants can voluntarily work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer (University of Alabama). The challenges will be released 2 weeks before the beginning of the school. A jury will judge the submissions and the winners of each challenge will be announced by the end of August 2026. The winning teams will receive a modest monetary prize and the runners-up will get a certificate. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Karim Abed-Meraim (Orl?ans, local co-chair) Sergei V. Gleyzer (Tuscaloosa, hackathon chair) Meryem Jabloun (Orl?ans, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) Philippe Ravier (Orl?ans, local chair) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2026/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://deeplearn.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation will be delivered indicating the number of hours of academic activities (40). This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universit? d?Orl?ans Coll?ge Doctoral Centre-Val de Loire Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Luxembourg/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From v.steuber at herts.ac.uk Fri Oct 17 16:30:20 2025 From: v.steuber at herts.ac.uk (Volker Steuber) Date: Fri, 17 Oct 2025 20:30:20 +0000 Subject: Connectionists: PhD Studentships in Computational Neuroscience at the University of Hertfordshire, UK In-Reply-To: References: Message-ID: PhD Studentship in Computational Neuroscience Biocomputation Research Group Centre for AI and Robotics Research School of Physics, Engineering and Computer Science University of Hertfordshire, UK Informal enquiries: Prof Volker Steuber, UH (v.steuber at herts.ac.uk); Dr Arnd Roth, UCL (arnd.roth at ucl.ac.uk) Application deadline: 14 November 2025 Studentship: approximately ?20,700 per annum bursary plus payment of the student fees. Applicants from inside and outside the UK are eligible. Proposed Project: Reinforcement Learning and Microzones in the Cerebellum The crystalline structure of the cerebellar cortex has inspired the development of theories and computational models of learning in the cerebellum. In these computational models, learning is typically based on long-term depression (LTD) between parallel fibres and Purkinje cells in cerebellar cortex. More recently, however, plasticity has been shown to be present at different types of cerebellar synapses, and recent observations of reward signals conveyed by both mossy fibres and climbing fibres to the cerebellar cortex indicate that the roles of the instructive signals for cerebellar plasticity are more complex than assumed by classic theories. The presence of reward signals suggests that the cerebellum may be involved in reinforcement learning, by predicting the consequences of different actions. A further level of complexity arises from the existence of alternating cerebellar microzones that have been shown to contribute in different ways to cerebellar learning. The proposed PhD project will extend a previously developed detailed network model of the cerebellum. Simulations of the network model will be used to investigate the implications of reward signals and microzones for cerebellar learning. The work will contribute to a better understanding of learning in the cerebellum with potential applications in machine learning and neurorobotics. Applicants should have a keen interest in computational neuroscience and an excellent first degree or MSc in computer science, neuroscience, AI, machine learning, physics, maths, biology, medicine or a related discipline. The project involves a collaboration between the Biocomputation Research Group in the Centre for AI and Robotics Research at the University of Hertfordshire (Volker Steuber) and the Wolfson Institute for Biomedical Research at UCL (Arnd Roth) and will require regular visits to London. The Centre for AI and Robotics Research and the University of Hertfordshire provide a very stimulating environment, offering a large Doctoral School with many specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in REF 2021, with 90% of the research submitted and all of the research impact rated as internationally excellent or world leading. Information on the application procedure and an application form can be found at: https://www.herts.ac.uk/study/schools-of-study/physics-engineering-and-computer-science/engineering-and-computer-science/research-in-engineering-and-computer-science/the-phd-programme-in-computer-science Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Sun Oct 19 15:49:24 2025 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Sun, 19 Oct 2025 19:49:24 +0000 Subject: Connectionists: ESANN 2026: 2nd call for papers Message-ID: ESANN 2026 - 34th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges (Belgium) and online, 22-23-24 April 2026 https://www.esann.org Call for papers The call for papers is available at https://www.esann.org/. Deadline for submissions: 19 November 2025. The ESANN conference addresses machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. In addition to regular sessions, 6 special sessions will be organized on the following topics: * Neuro Symbolic AI and Complex Data * Reliable counterfactuals for machine learning models * Beyond Performance: Comprehensive Evaluation Strategies for Impactful Machine Learning * Learning and Reasoning on Knowledge and Heterogeneous Graphs * Reliability, Safety and Robustness of AI applications * Efficient and Resilient Machine Learning for Industrial Applications ESANN 2026 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years. The conference will be organized in hybrid mode. In-person participation is strongly encouraged, however online participation is possible for those who prefer not to travel. The physical conference will be organized in Bruges, one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open-air museum. We hope to receive your submission to ESANN 2026 and to see you in Bruges or online! ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen UCLouvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.yousif at herts.ac.uk Sun Oct 19 17:22:31 2025 From: n.yousif at herts.ac.uk (Nada Yousif) Date: Sun, 19 Oct 2025 21:22:31 +0000 Subject: Connectionists: PhD positions in Multi-level modelling of neuromodulation and lesioning Message-ID: Applications are invited from PhD studentship candidates to work on multi-level modelling of neuromodulation and lesioning at the Biocomputation Research Group, University of Hertfordshire, UK. The projects are focussed on understanding the human nervous system in health and disease using computational modelling of neurons and networks. More details can be found at: https://tinyurl.com/2xe2sxva Informal enquiries to Dr Nada Yousif (n.yousif at herts.ac.uk) Application deadline: 14 November 2025 Studentship: approximately ?20,700 per annum bursary plus payment of the student fees. Applicants from inside and outside the UK are eligible. The Centre for AI and Robotics Research and the University of Hertfordshire provide a very stimulating environment, offering a large Doctoral School with many specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in REF 2021, with 90% of the research submitted and all the research impact rated as internationally excellent or world leading. Information on the application procedure and an application form can be found at: https://tinyurl.com/3k8j9c3m -------------- next part -------------- An HTML attachment was scrubbed... URL: From RMBattleday at user.luma-mail.com Mon Oct 20 03:16:52 2025 From: RMBattleday at user.luma-mail.com (Ruairidh Battleday) Date: Mon, 20 Oct 2025 07:16:52 +0000 Subject: Connectionists: You are invited to AE Global Summit Past Participants Message-ID: <0101019a007a65d1-fa80ad32-8c28-41c4-844d-d73f75decec3-000000@us-west-2.amazonses.com> You?re invited to AE Global Summit Past Participants Tuesday, October 28 8:00 AM - Oct 30, 6:00 PM GMT Location: In Person Dear all, For those that missed it already, we are holding a Summit on Open Problems for AI in London next week that we'd love to see you again at: https://algopreneurship.org/programme Because building a conscientious community in AI research and media is so very important to us, this invite gives access to a 50% reduction in ticket prices for those that have come to one of our previous events. Sending our warmest affection, with news about our conference in May to follow (neuromonster, Rhodes). All the best, Ruairidh and the team Accept Invite: https://luma.com/i/7cTK5cn3MT View Event: https://luma.com/i/7cTK5cn3MT Can?t make it? Decline the invite [https://luma.com/i/7cTK5cn3MT] to stop receiving emails about this event. Sent using https://luma.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From battleday at thinkingaboutthinking.org Mon Oct 20 05:04:18 2025 From: battleday at thinkingaboutthinking.org (Ruairidh Battleday) Date: Mon, 20 Oct 2025 10:04:18 +0100 Subject: Connectionists: =?utf-8?q?Final_Programme_Announced=3A_AE_Global_?= =?utf-8?q?Summit_on_Open_Problems_for_AI_=2828=E2=80=9330th_Oct=2C?= =?utf-8?q?_London=2C_Kings_X_/_Euston=29?= Message-ID: Final Programme Announced: AE Global Summit on Open Problems for AI (28?30th Oct, London, Kings X / Euston) Over three days, we will bring together hundreds of scientists, engineers, entrepreneurs, policymakers, and artists to discuss the most important open problems in AI, and how we might solve them. Full programme Programme highlights Day 1: AI Research Breakthroughs & Infrastructure Featuring: Prof. David Silver (DeepMind) Dr Raia Hadsell (DeepMind) Prof. Jakob Foerster (Meta & Oxford) Prof. Csaba Szepesvari (DeepMind) Prof. Andrew Saxe (UCL) Dr Laura Gilbert (Tony Blair Institute) Dr James Whittington (Oxford) , and senior research leaders from NVIDIA , NSCALE , CoreWeave , Thomson Reuters , Bertelsmann , Wayve , Hassana Labs , and many more. Day 2: AI Safety, Enterprise, & Society Featuring: Prof. Chris Summerfield (AISI & Oxford) Prof. Richard Susskind (Oxford) Dex Hunter-Torricke (HM Treasury) Kriti Sharma (IFS Global) Dr Artemis Seaford (ElevenLabs ) Dr Marc Warner (Faculty) , and safety and society speakers from Multiverse , Tony Blair Institute , Bernstein Insights , Holistic AI , HSBC , the BBC, the Financial Times , and many more. Day 3: AI Entrepreneurship & Applications (Education & Medicine) Featuring: Harry Stebbings (20VC) Minister Kanishka Narayan (DSIT) Dr Trias Gkikopoulos (Innovate UK) Prof Rose Luckin (UCL & Educate Ventures) Prof Thore Graepel (UCL) , and panelists from Google Health , Raspberry Pi Foundation , Newton?s Tree, the NHS senior AI team, and many more. Plus an expo session with London AI Hub , Venture Cafe London , Harvard and MIT Tech Alumni, Founders Forum , Entrepreneur First , Cooley LLP , NVIDIA , XTX Markets , We?d love to see some of you there! If you'd like to bring a friend for free, add two Researcher tickets to checkout, then enter discount code AE2025: Register via the link below: https://tickets.algopreneurship.org/ResearchersEmail Many thanks, Ruairidh and the team -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking (www.thinkingaboutthinking.org) Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Mon Oct 20 04:38:05 2025 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Mon, 20 Oct 2025 10:38:05 +0200 Subject: Connectionists: [CfP] International Workshop on Deep Learning for Biomedical Big Data Analysis (DL4BBDA) - IEEE Big Data In-Reply-To: <16d3d712-4d7a-48a0-a706-ffb17829bb71@ai.univ-paris8.fr> References: <16d3d712-4d7a-48a0-a706-ffb17829bb71@ai.univ-paris8.fr> Message-ID: _[Apologies for multiple postings]_ The International Workshop on Deep Learning for Biomedical Big Data Analysis (DL4BBDA) will be held *online*, from 8 to 11 december 2025, in conjunction with the IEEE International Conference on Big Data (IEEE BigData 2025 ). https://dl4bbda2025.sciencesconf.org/ *Overview* Due to growing innovations in the biomedical research field, substantial huge volumes of data are generated needing to be explored, analyzed and processed using advanced algorithms and techniques. In artificial intelligence, Deep learning (DL) has received a great attention to solve difficult and complex problems in various domains. Its ability to train learning models for large-volume data as well as their performances compared to conventional machine learning algorithms, as made it a major asset. This workshop aims to present and discuss the recent advances in deep learning for biomedical data analysis and processing. It is an opportunity to bring together academic and industrial scientists to discuss recent advances. *Topics of interest include, but are not limited to, the following:* - DL for biomedical signal analysis and processing (e.g., EEG, EMG, ECG, EOG, ?) - DL for medical image analysis and processing (e.g., CT, MRI, fMRI, PET, SPECT, DTI, ?) - DL for diseases detection and diagnosis (e.g., Epileptic seizure, Alzheimer, Sleep disorders, ?) - DL for pandemics detection and forecasting - DL for biometrics - DL in biomedical engineering - DL for health informatics (healthcare, e-health, m-health, telehealth, ?) - DL for brain-computer interfaces - DL for neural rehabilitation engineering - Generative AI in biomedical research - Related applications *Important Dates* *Oct. 26, 2025* (11:59 pm CST): Due date for full workshop papers submission Nov. 15, 2025: Notification of paper acceptance to authors Nov. 23, 2025: Camera-ready of accepted papers Dec 8-11, 2025: Workshops *Paper submission* - Please submit a full-length paper (up to 10 pages IEEE 2-column format including references) or a short-length paper (5 to 7 pages including references)? through the online submission system. - Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. See link to "formatting instructions" here : https://www.ieee.org/conferences/publishing/templates.html - Electronic submissions in PDF format are required. - All papers accepted for this workshop will be published in the Workshop Proceedings of IEEE Big Data Conference, made available in the IEEE eXplore digital library. *Online Submission * https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=S48&undisplay_detail=1&wh=/cyberchair/2025/bigdata25/scripts/ws_submit.php *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 efipatm at gmail.com Mon Oct 20 06:32:43 2025 From: efipatm at gmail.com (Efi P) Date: Mon, 20 Oct 2025 13:32:43 +0300 Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Dr. Anjali Diwan (IEEE DataPort Streeing Committee, Marwadi University): "The Double-Edged Sword: AI, Multimedia Forgery, and the Battle for Reality", October 21, 2025 - 17:00 CET. Message-ID: Dear AI scientist/engineer/student/enthusiast, Dr. Anjali Diwan (IEEE DataPort Streeing Committee, Marwadi University) will deliver the e ? lecture: *"**The Double-Edged Sword: AI, Multimedia Forgery, and the Battle for Reality":* ? *Date: **21 October 2025* ? *Time*: *1**7:00-18:00 CET* *?* For more details, click *here * The *International AI Doctoral Academy (AIDA) * is very pleased to offer you top quality scientific lectures in the framework of AIDA AI Excellence Lecture Series on several current hot AI topics. Lectures will be offered alternatingly by: - Top highly cited senior AI scientists internationally or - Young AI scientists with promise of excellence (AI sprint lectures) These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list . Best regards Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, J. Stefanowski AIDA AI Excellence Lecture Series committee members -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Mon Oct 20 08:57:03 2025 From: announce at ucy.ac.cy (Announce) Date: Mon, 20 Oct 2025 12:57:03 +0000 Subject: Connectionists: AAMAS 2026: Last Call for Nominations for the 2026 IFAAMAS Influential Paper Award and the 2025 Victor Lesser Distinguished Dissertation Award Message-ID: *** Last Call for Nominations for the 2026 IFAAMAS Influential Paper Award *** *** Last Call for Nominations: 2025 Victor Lesser Distinguished Dissertation Award *** The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) May 25-29, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://cyprusconferences.org/aamas2026/ 2026 IFAAMAS Influential Paper Award The International Foundation for Autonomous Agents and Multi-Agent Systems (IFAAMAS) in 2006 established an award to recognize publications in the autonomous agents and multiagent systems field that have made influential and long-lasting contributions. Candidates for this award are papers that have proved a key result, led to the development of a new subfield, demonstrated a significant new application or system, or simply presented a new way of thinking about a topic that has proved influential. A list of previous winners of this award appears at http://www.ifaamas.org/award-influential.html . This award is presented annually at the AAMAS Conference. Winning papers must have been published at least 10 years before the first day of the conference. Therefore, papers eligible for the 2026 award must have been published earlier than May 2016, and in a recognized scientific forum (e.g., journal, conference, or workshop). The criteria that will be considered in the selection for the award are: 1. Opened up new research line(s) within and even outside AAMAS; 2. Broad impact, e.g. started new fields, new conferences, new journals; 3. Broadly inspired the community; 4. Posed and/or solved an issue seen as fundamental to the field. To nominate a publication for this award, please send by October 31, 2025 the full reference plus a brief statement (200 words or fewer) arguing for the significance of the paper to the chair of the 2026 IFAAMAS Influential Paper Award committee, Maria Gini (gini at umn.edu). 2025 Victor Lesser Distinguished Dissertation Award IFAAMAS, the International Foundation for Autonomous Agents and Multiagent Systems, is pleased to announce the call for the 2025 Victor Lesser Distinguished Dissertation Award. The award is named after Professor Victor Lesser, a long-standing member of the AAMAS community who has supervised a large number of outstanding PhD students in the area. It is awarded for dissertations written as part of a PhD, defended in the specified period, and nominated by the supervisor (with supporting references), which show originality, significance, and impact, and are supported by high quality publications. Nominations are invited for the award which is sponsored by IFAAMAS and will be presented at AAMAS 2026. The award includes a certificate and a 1500 EUR payment. Eligibility: Eligible doctoral dissertations are those defended between October 1, 2024 and September 30, 2025 (both endpoints included) in the area of Autonomous Agents or Multiagent Systems. Submission link: https://forms.gle/xzfax1VCTVimTypu5 Submission deadline: October 31, 2025 (anywhere on earth) Selection procedure: The selection of the dissertation will be based on the originality, significance, and impact of the work. Evidence of such impact includes publications at highly selective conferences and journals in the field, with due importance given to the AAMAS conference series and JAAMAS. Research output that resulted primarily from the student?s initiative will be considered more favorably. The selection committee will be the final arbiter in the decision process. The selection committee might also decide to consult external assessors, and reserves the right to not award the prize if the nominations do not meet the expected quality level. Every submitted dissertation must be nominated by the thesis supervisor and must be supported by the following 4 (four) documents, all of which should be delivered via the Google Form link above by October 31, 2025: a) A link to a PDF file of the dissertation. If the dissertation is not written in English, the nomination must include an accessible link to a substantial manuscript in English, with the nominee as the first author, published in a peer-reviewed journal or conference. b) A PDF that contains a list of publications that have arisen from the dissertation, with links to the published papers. c) A recommendation from the dissertation supervisor, on departmental letterhead, nominating the dissertation for the 2025 Victor Lesser Distinguished Dissertation Award. The recommendation should explain the contribution of the dissertation to the field of autonomous agents and multiagent systems, argue the merit and possible future impact of the work, and highlight, where relevant, how the work resulted from the initiative of the student. Finally, this document should certify the eligibility of the PhD by asserting that the PhD was successfully defended between October 1, 2024 and September 30, 2025. d) A PDF with the names, email addresses, and affiliations of at least one and at most three referees, familiar with the research of the candidate and experts in the pertinent research area, who will directly email their recommendations for the candidate to the chair of the selection committee (Gauthier Picard, gauthier.picard at onera.fr). A reference letter should be no more than 500 words in length, should be on an official letterhead, signed and emailed as a PDF file, and received by the same deadline of October 31, 2025. To ease the recovery of these emails, it is recommended that the subject of the recommendation letter email be ?2025 Victor Lesser Award: Recommendation: ? Note: It is the responsibility of the dissertation supervisor to contact the referees and ensure that their letters (max 500 words, signed, and on letterhead) are submitted by the deadline. Though the nomination is to be submitted by the nominee?s dissertation supervisor, it is required that the nominee has consented that the dissertation be considered for this award and, if selected for the award, commits to attending the AAMAS 2026 conference, where they will receive the award and will give a presentation on the work contained in the dissertation at a special session of the conference. The cost of attending the conference is not covered by the award. For questions, please contact the chair of the selection committee, Gauthier Picard, at gauthier.picard at onera.fr. -------------- next part -------------- An HTML attachment was scrubbed... URL: From davide.rigoni.1 at unipd.it Mon Oct 20 11:47:53 2025 From: davide.rigoni.1 at unipd.it (Davide Rigoni) Date: Mon, 20 Oct 2025 17:47:53 +0200 Subject: Connectionists: [CFP] Special Session: Neuro Symbolic AI and Complex Data @ESANN2026 Message-ID: *************************************************************** CALL FOR PAPERS (ESANN 2026) European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: https://www.esann.org/ More details on the Special Session "Neuro Symbolic AI and Complex Data": https://www.esann.org/special-sessions#session1 Bruges, Belgium, 22-24 April 2026 *************************************************************** ****** Call For Papers ****** In the contemporary era of Artificial Intelligence (AI) based decision-making, the application of AI on complex data (e.g., nonlinear systems, images, text, sequences, trees, and graphs) has become increasingly pivotal - spanning domains such as drug discovery, industrial automation, and decision support systems. Yet, purely data-driven methods often fall short in domains where structured reasoning, interpretability, and the integration of human knowledge are essential. Neuro-symbolic AI emerges as a promising paradigm that combines the strengths of symbolic reasoning with sub-symbolic learning, bridging the gap between data-driven models and domain-specific knowledge, requirements, and constraints. This fusion allows for more generalizable, explainable, and trustworthy systems, capable of incorporating logical rules, expert knowledge, and domain constraints into complex data-driven tasks. In this context, Neuro-Symbolic AI holds the potential to enhance model sustainability, robustness, transparency, and alignment with human-centric goals. This additional knowledge can take many forms, for example: -> Constraint-Aware AI, which embeds hard or soft logical constraints or verification rules in learning algorithms; -> AI for science, where (possibly interpretable) models must comply with physical laws or symbolic expressions; -> Socially responsible AI, where ethical frameworks and cultural principles shape decisions; -> Applications (e.g., bioinformatics, software engineering, natural sciences, or legal informatics) where knowledge graphs and ontologies guide data-driven inference. This special session aims to gather valuable contributions and early findings in the field of Neuro-Symbolic AI for Complex Data. Our main objective is to showcase the potential and limitations of new ideas, improvements, and cross-disciplinary integrations of symbolic reasoning and machine learning for solving real-world problems. We welcome contributions across disciplines and encourage submissions that integrate symbolic reasoning, statistical learning, complex data, and domain-specific knowledge to advance the frontiers of AI research. ****** Important Dates ****** Paper Submissions: 19 November 2025 Paper Acceptance Notifications: 23 January 2026 Conference: 22-24 April 2026 ****** Session Organisers ****** -> Luca Oneto (University of Genoa, Italy) -> Nicol? Navarin (University of Padua, Italy) -> Luca Pasa (University of Padua, Italy) -> Davide Rigoni (University of Padua, Italy) *-> *Davide Anguita (DIBRIS - University of Genova, Italy) -------------------------------- Davide Rigoni, Ph.D. Postdoctoral Researcher Machine Learning Group (MLG) Department of Mathematics "Tullio Levi-Civita" University of Padova, Via Trieste 63, 35131 Padova (PD) - Italy E-mail: *davide.rigoni.1 at unipd.it * Web: *http://www.drigoni.it * CONFIDENTIALITY This email (including attachments) is intended only for the recipient(s) named above. It may contain confidential or privileged information and should not be read, copied, or otherwise used by any other person. If you are not the named recipient, please contact me and delete the email from your system. Thank you. -------------------------------- Privo di virus.www.avast.com <#m_1405653958398950261_DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> -------------- next part -------------- An HTML attachment was scrubbed... URL: From vladana.perlic at telecom-paris.fr Tue Oct 21 03:38:36 2025 From: vladana.perlic at telecom-paris.fr (Vladana Perlic) Date: Tue, 21 Oct 2025 09:38:36 +0200 (CEST) Subject: Connectionists: =?utf-8?q?PRIMA_2025_=E2=80=93_PhD_Day=3A_Call_fo?= =?utf-8?q?r_Submissions_=E2=80=93_Extended_Abstracts?= In-Reply-To: <981152395.14333017.1752652643740.JavaMail.zimbra@telecom-paris.fr> References: <981152395.14333017.1752652643740.JavaMail.zimbra@telecom-paris.fr> Message-ID: <692873249.24789295.1761032316815.JavaMail.zimbra@telecom-paris.fr> PRIMA 2025 ? PhD Day: Call for Submissions ? Extended Abstracts Website: [ https://conferences-website.github.io/prima2025/ | https://conferences-website.github.io/prima2025/ ] The PRIMA 2025 PhD Day is a forum for doctoral students working on multi-agent systems and closely related areas to present their ongoing research, receive constructive feedback, and grow their professional network. We welcome submissions from PhD candidates at any stage of their doctorate. Topics of Interest All PRIMA topics are in scope, including (but not limited to): multi-agent systems, game theory, logic in AI, verification/model checking, learning in MAS, human?agent interaction, agent-based simulation, autonomy, coordination, trust, security & privacy, and applications in science, industry, and society. Who Should Submit * PhD students (early, mid, or late stage). * Recent graduates (defended in 2025) may submit work completed during their PhD. Submission Format * Extended abstract (non-archival), up to 4 pages including references. * PDF, PRIMA/LNCS style (same as the main conference). * Clearly state: problem, motivation, approach, preliminary/expected results, and open challenges. * Optionally include one figure (architecture, workflow, or key result). * Submissions are single-author (the PhD student). You may acknowledge advisors/collaborators. * Submit via email to [ mailto:james.ortiz-vega at u-pec.fr | james.ortiz-vega at u-pec.fr ] and [ https://z.imt.fr/zimbra/Marija.Slavkovik at uib.no | Marija.Slavkovik at uib.no ] (please copy both). Presentation Accepted authors will give a short presentation during the PhD Day. Extended abstracts will be made available on the conference website as non-archival material. Travel Support (AIXIA) Thanks to AIXIA , we have a total of 500? to support PhD student participation. The number and amount of scholarships will be determined by the organizers depending on the number of requests. To be considered, please add a short Funding Request paragraph to your abstract (need, estimated budget, other support). Important Dates (AoE) * PhD Day CFP online: 20 October 2025 * Submission deadline: 15 November 2025 * Notification: 24 November 2025 * Program online: 27 November 2025 * PhD Day @ PRIMA 2025: 19 December 2025 Contact For questions, please contact the PhD Day chairs: [ mailto:prima2025.phdday.chairs at gmail.com | prima2025.phdday.chairs at gmail.com ] -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Tue Oct 21 05:54:02 2025 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Tue, 21 Oct 2025 11:54:02 +0200 Subject: Connectionists: [CfP] [Deadline extended] The 6th International Workshop on Machine Learning for EEG Signal Processing (MLESP) - Online In-Reply-To: <6a359b69-aad7-4c24-a363-d3e8a8507e40@ai.univ-paris8.fr> References: <6a359b69-aad7-4c24-a363-d3e8a8507e40@ai.univ-paris8.fr> Message-ID: <8960a75d-1a0b-40cf-8d6f-7f889aedb075@ai.univ-paris8.fr> _[Apologies for multiple postings]_ The 6^th international workshop on Machine Learning for EEG Signal Processing (MLESP 2025, _https://mlesp2025.sciencesconf.org/_) will be held *ONLINE*, China, from 15 to 18 December 2025, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2025, _https://biod.whu.edu.cn/bibm2025/_). *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 impressive progress in solving 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 recent advances. *The topics of interest include but are 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 * *Oct. 30, 2025 *(11:59 pm CST):Due date for full workshop papers submission Nov. 7, 2025: Notification of paper acceptance to authors Nov. 10, 2025: Camera-ready of accepted papers Dec 15-18, 2025: Workshops *Paper submission * - Please submit a full-length paper (up to 8 pages 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/2025/bibm25/scripts/submit.php?subarea=S01&undisplay_detail=1&wh=/cyberchair/2025/bibm25/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 shabnam.kadir at gmail.com Tue Oct 21 07:55:48 2025 From: shabnam.kadir at gmail.com (Shabnam Kadir) Date: Tue, 21 Oct 2025 12:55:48 +0100 Subject: Connectionists: PhD studentship in Mathematical and Computational Neuroscience, University of Hertfordshire, UK Message-ID: *PhD in Mathematical and Computational Neuroscience *with* Dr. Shabnam Kadir *in the* Biocomputation Research Group *in the* Centre for Computer Science and Informatics Research, University of Hertfordshire, U.K. * We invite applications for PhD studentships to join an interdisciplinary research programme at the intersection of mathematics, neuroscience, and data science. The successful candidate will have the opportunity to contribute to one of several cutting-edge projects that apply topological data analysis (TDA) to understand the structure and function of the brain. *Requirements:* We are looking for candidates with the following profile: ? Strong first degree and master?s degree in a quantitative field such as mathematics, physics, computer science, engineering, or computational neuroscience. ? Strong programming skills (e.g. Python, MATLAB, C++, Julia). ? Interest in neuroscience and biology would be helpful. A limited number of 3-year full-time PhD studentships are available. Studentships include a stipend of ?20,700 per annum in addition to covering tuition fees. Applicants from inside and outside the UK are eligible. *Deadline: *14th November 2025 Interested candidates are encouraged to make informal inquiries with *Dr Shabnam Kadir* (s.kadir2 at herts.ac.uk) before making a formal application. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in REF 2021, with 90% of the research submitted and all of the research impact rated as internationally excellent or world-leading. The University of Hertfordshire provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. Full details available here: https://www.herts.ac.uk/__data/assets/pdf_file/0007/447478/Mathematical-neuroscience-Kadir.pdf To apply, follow the instructions here: https://www.herts.ac.uk/study/schools-of-study/physics-engineering-and-computer-science/engineering-and-computer-science/research-in-engineering-and-computer-science/the-phd-programme-in-computer-science Submit an application form (downloadable from https://www.herts.ac.uk/__data/assets/pdf_file/0010/31105/uh-application-form_2022.pdf) together with a cover letter, CV, and scanned copies of university transcripts and degree certificates (BSc and MSc), two referees, via email to doctoralcollegeadmissions at herts.ac.uk, cc-ing Dr Shabnam Kadir on s.kadir2 at herts.ac.uk. -- ---------------------------------------------------------------------------------------------------------------- Dr. Shabnam Kadir Senior Lecturer School of Physics, Engineering, and Computer Science, University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, United Kingdom. ---------------------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From eero at cns.nyu.edu Tue Oct 21 15:17:05 2025 From: eero at cns.nyu.edu (Eero Simoncelli) Date: Tue, 21 Oct 2025 15:17:05 -0400 (EDT) Subject: Connectionists: Doctoral studies in Computational/Theoretical Neuroscience at NYU Message-ID: <202510211917.59LJH5b15588@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://as.nyu.edu/cns/DoctoralProgram.html https://neuroscience.nyu.edu/program.html] * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * 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. * 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 (also in the FlatIron Institute) - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. * Alex Williams (also in the FlatIron Institute) - Statistical analysis of neural data. Neuroscience Institute, School of Medicine (deadline: 1 December) [https://med.nyu.edu/departments-institutes/neuroscience/ https://neuroscience.nyu.edu/program.html] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the FlatIron Institute) - Neural computation and connectomics. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Biyu He - Large-scale brain dynamics underlying human cognition. * Dima Rinberg - Olfaction, sensory information processing, perception. * 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. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Marcelo Mattar - Learning and planning in the brain/mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Data Science (deadline: 4 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. * Brenden Lake (also in Psychology) - Computational modeling of cognition, deep learning. * Grace Lindsay (also in Psychology) - Machine learning models of the brain/mind. * Mengye Ren (also in Computer Science) - Brain and cognitively inspired representation learning. Mathematics (deadline: 18 December) [https://gsas.nyu.edu/admissions/arc/programs/mathematics.html] * 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. Physics (deadline: 30 December) [https://as.nyu.edu/physics/programs/graduate.html] * Marc Gershow - Perception, decision-making, and learning in neural circuits. * Stefano Martiniani - Fundamental principles governing neural systems. 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 tomg at princeton.edu Tue Oct 21 13:59:35 2025 From: tomg at princeton.edu (Tom Griffiths) Date: Tue, 21 Oct 2025 17:59:35 +0000 Subject: Connectionists: Postdoc and RA positions for modeling human decision-making and trust in AI Message-ID: <3733C618-CF2A-4362-9A0B-6EC1C05EB724@princeton.edu> Dear colleagues, We are hiring postdoctoral research and research assistant positions to work on an interdisciplinary project exploring decision-making in humans and AI systems and the circumstances under which people will trust AI systems to make decisions on their behalf. This is a collaborative project with researchers at Princeton University (Tom Griffiths, Peter Henderson, Tania Lombrozo, Natalia V?lez), New York University (Mark Ho, Ilia Sucholutsky), Boston University (Josh Peterson), and Cornell University (Nori Jacoby), and will provide opportunities to visit and collaborate with members of these different research groups. Princeton postdoc: https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=40461 NYU postdoc: https://apply.interfolio.com/175495 NYU research assistant: https://apply.interfolio.com/175497 There may also be opportunities at Cornell and Boston University, if interested please reach out to Nori Jacoby (kj338 at cornell.edu ) and Josh Peterson (joshcp at bu.edu ) directly. Best wishes, Tom. -- Tom Griffiths Director, Princeton Laboratory for Artificial Intelligence Henry R. Luce Professor of Information Technology, Consciousness and Culture Departments of Psychology and Computer Science Princeton University http://cocosci.princeton.edu/tom/ From daniel.polani at gmail.com Tue Oct 21 16:12:05 2025 From: daniel.polani at gmail.com (Daniel Polani) Date: Tue, 21 Oct 2025 21:12:05 +0100 Subject: Connectionists: PhD Opportunity: Information and the Origin of Cognition Message-ID: Do you wonder about the nature of cognition? How organisms naturally achieve such high levels of intelligence, when it requires the smartest engineers to come up with elaborate, clever, energy- and data-intensive solutions to achieve pertinent effects? What are we missing in AI? And what can we do about that? If so, and you have a a very strong programming and computational background, then the following PhD studentship might be of interest to you: Information and the Origin of Cognition: Natural and Artificial Intelligence and Robotics from First Principles Shannon information is a fundamental resource in cognition and in decision-making, from of molecular dynamics to animal brains, up to Artificial Intelligence systems. All these complex systems need to organize information. We investigate the fundamental principles along which these intelligent organizational processes take place. We ask how increasingly powerful systems and capabilities can emerge and self-organize spontaneously through informational principles; and finally, how, in turn, these principles can be used to create and understand more capable and transparent AI and robotic systems. We offer PhD studentships researching these topics. As a candidate, you will be interested in the whole spectrum: uncovering the principles behind the emergence and organization of cognition from physical and biological principles up to its application to Artificial Intelligence and Robotics, typically based on information theory. Possible research questions include, but are by far not limited to: - modeling cognitive structure - extracting structural generalizations - enabling robust decision making, minimal and flexible robotic control - agents that "want": intrinsic motivations, especially, but not limited to empowerment - unlocking the role of embodiment and informational ecology - using above for concrete robotics applications - models of biological or Artificial Life, including questions of origin of life and cognition from first principles. - links to physics and complex systems in general You will have a very strong first degree; a keen interest and motivation to delve into and con- tribute to a fresh, stimulating and fast-moving research area at the shared boundary of AI, robotics, biology, physics, psychology, collective and social systems. An outstanding back- ground in one of the following or related fields is essential: Computer Science, AI, Computational/Cognitive Robotics, Physics, Mathematics or any other relevant discipline with a considerable quantitative/computational component. In particular, you will demonstrate excellent programming skills in at least one major computer language. A mathematical/numerical background would be highly desirable. Knowledge in at least one of the following fields would be a strong plus: probability theory, Bayesian modeling, information theory, differential geometry, control, dynamical systems, statistical learning data modelling/neural network techniques. The research will take place in the vibrant, enthusiastic and creative environment of the Adaptive Systems Research Group of the School of Physics, Engineering and Computer Science at the University of Hertfordshire; for interested candidates, there will also be the special op- portunity to collaborate with the School's successful humanoid robot RoboCup team, the Bold Hearts, with additional actively funded projects and with research groups across the world. More information about the topic is available from: d.polani at herts.ac.uk For further details and how to apply please see here: https://www.herts.ac.uk/courses/research/phd-computer-science and here: https://www.jobs.ac.uk/job/DPC268/phd-studentships-in-computer-science -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Wed Oct 22 08:15:49 2025 From: benoit.frenay at unamur.be (=?utf-8?B?QmVub8OudCBGcmVuYXk=?=) Date: Wed, 22 Oct 2025 12:15:49 +0000 Subject: Connectionists: 18 Months Postdoc in AI and Trust (Social Sciences and Humanities) Message-ID: Dear Colleagues, Since 2024, the impactful ARIAC project (50+ researchers) in the TRAIL - TRusted AI Labs works on the philosophical, social and legal aspects of AI. In particular, we question the notion of trust and we are looking for a postdoctoral researcher who is interested to explore this direction! ? All details here: https://jobs.unamur.be/emploi.2025-10-21.7616886532 We invite submissions of short projects (maximum 500 words) with a research question related to trust in AI that could be realistically pursued during the duration of the position. Interdisciplinary projects are also encouraged. Depending on the project submitted, it will be possible to collaborate with the team members. The postdoc will be conduct their research at UNamur within the interdisciplinary Namur Digital Institute (NaDI) and interact with researchers in the other workpackages and partners of the ARIAC project. We are looking for candidates with a PhD in social sciences and humanities or computer science with a strong background in social sciences and humanities. Do not hesitate to share! Thanks, Beno?t Fr?nay Beno?t Fr?nay Professor Faculty of Computer Science Human-Center Machine Learning (HuMaLearn) UNamur / NaDI / PReCISE [cid:image001.png at 01DC435E.5CB5FE10] [cid:image002.png at 01DC435E.5CB5FE10] [cid:image003.png at 01DC435E.5CB5FE10] https://directory.unamur.be/staff/bfrenay https://humalearn.info.unamur.be Let us respect the environment together. Only print this message if necessary! -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 10316 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 30995 bytes Desc: image002.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.png Type: image/png Size: 37711 bytes Desc: image003.png URL: From mtkostecki at gmail.com Wed Oct 22 12:18:08 2025 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Wed, 22 Oct 2025 18:18:08 +0200 Subject: Connectionists: Animal tracking in Deeplabcut Workshop, Heidelberg, November 20-21st Message-ID: Hello! It is our pleasure to announce our next Heidelberg Open Lab workshop - Animal tracking in Deeplabcut! This practical workshop will guide you step by step through the process of pose estimation with *DeepLabCut *and an introduction to its output data structure and analysis of kinematics. Many researchers use pose estimation tools but struggle to get consistent, high-quality results or move beyond tracking into real behavioural insights. This workshop is designed to close that gap. The workshop is intended for young researchers, including Master?s and PhD students, as well as postdocs and established scientists who want to sharpen their practical understanding of state-of-the-art behavioral analysis tools. Prior experience with experimental data and a basic understanding of Python are required to benefit from the workshop, especially the data analysis part of it. *What will you learn?* By the end of this course, you will be able to: - Confidently navigate the *DeepLabCut *workflow (via GUI and code) - Annotate data properly, select the right model backbone, train your model, and evaluate its performance - Analyze your videos and tune tracking in multi-animal projects - Preprocess and structure your data for advanced behavioral analysis We encourage participants to bring video recordings from their own experiments?these can be used during practical sessions to kickstart your own analysis projects. *Requirements: *Basic Python knowledge, laptop. *Instructors:* - Konrad Danelewski, Nencki Institute The workshop will take place on Nov 20-21st, 9:45 AM -5 PM at COS, Heidelberg. Institute. Please find the application form here - https://openlabhd.org/2025/10/21/animal-tracking-in-deeplabcut-nov-20-21th/ *.* The workshop is free of charge and is *held in a stationary form only*! With best wishes, Mateusz Kostecki -------------- next part -------------- An HTML attachment was scrubbed... URL: From Kevin.Lam at mpi.nl Thu Oct 23 08:22:49 2025 From: Kevin.Lam at mpi.nl (Lam, Kevin) Date: Thu, 23 Oct 2025 12:22:49 +0000 Subject: Connectionists: IMPRS for Language Sciences PhD Fellowships 2026 Message-ID: <60b57acd5f744398af120f5d697e0b0b@mpi.nl> ** IMPRS for Language Sciences PhD Fellowships 2026 ** The International Max Planck Research School (IMPRS) for Language Sciences is offering two fully-funded PhD Fellowship for four years (2026-2030) with a preferred start-date in September or October, 2026. The goal of the scheme is to enable young researchers to pursue interdisciplinary research projects in the language sciences, supervised by leading scientists at the Max Planck Institute for Psycholinguistics and its partner institutes at the Radboud University -- the Centre for Language Studies and the Donders Institute for Brain, Cognition and Behaviour. https://www.mpi.nl/ | https://www.ru.nl/cls | https://www.ru.nl/donders Find out more about the Fellowships and read first-hand accounts by our members: https://www.mpi.nl/imprs-phd-fellowships-2026 | https://www.mpi.nl/imprs The application deadline is 5 January, 2026. Thanks in advance. Best wishes from Nijmegen, Dr. Kevin Lam, Graduate School Coordinator http://www.mpi.nl/imprs | https://www.mpi.nl/people/lam-kevin -------------- next part -------------- An HTML attachment was scrubbed... URL: From dorien.herremans at gmail.com Thu Oct 23 23:06:20 2025 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Fri, 24 Oct 2025 11:06:20 +0800 Subject: Connectionists: [EAIM 2026] Submission deadline extension - 29 October Message-ID: Dear community, I am pleased to announce an extension of the submission deadline until *29 October* for the Workshop on Emerging AI Technologies for Music at AAAI, Singapore. The workshop will bring together researchers, industry leaders, and practitioners working at the intersection of AI and music. We?ll explore how advances in generative models, multimodal learning, personalization, explainability, and human?AI collaboration are shaping the future of music creation, analysis, and interaction. ? Highlights: ? *Proceedings published in PMLR* (Proceedings of Machine Learning Research) ? Keynote speakers from industry, sharing real-world perspectives ? A unique platform to connect academia and industry in emerging AI for music ? Part of AAAI, one of the leading AI conferences. ?? Singapore is 32C (90F) all year round, so come take a break from winter with us! ? When & Where: EAIM 2026 @ AAAI, Singapore (26-27 Jan 2026) ? *Call for Papers* & Details: https://amaai-lab.github.io/EAIM2026/ ? Organizers: Keshav Bhandari, Abhinaba Roy, Simon Colton, and Dorien Herremans. We warmly invite submissions of original research, creative systems, and critical perspectives on emerging AI technologies for music. Contributions may include theoretical work, empirical studies, system designs, evaluations, or artistic explorations. This year, we particularly value submissions that emphasize controllability, interpretability, explainability, personalization, human-AI interaction, and collaboration in music systems. Looking forward to inspiring discussions and collaborations in Singapore! ?? Best, Dorien -- Dorien Herremans, PhD Associate Professor Lead, AMAAI (Audio, Music and AI Lab) http://dorienherremans.com Singapore University of Technology and Design Information Technology and Design Pillar Office 2.401-33 -------------- next part -------------- An HTML attachment was scrubbed... URL: From giovanni.stanco at unina.it Thu Oct 23 14:05:37 2025 From: giovanni.stanco at unina.it (GIOVANNI STANCO) Date: Thu, 23 Oct 2025 18:05:37 +0000 Subject: Connectionists: [ACM CoNEXT 2026] Call for papers In-Reply-To: References: Message-ID: Dear colleagues, You are invited to submit your high-quality work to the upcoming ACM CoNEXT 2026. =========================================== December 7-11, 2026 - Utrecht, The Netherlands Conference website: https://conferences.sigcomm.org/co-next/2026/#!/home Full CFP: https://conferences.sigcomm.org/co-next/2026/#!/cfp Submission Guidelines: https://conferences.sigcomm.org/co-next/2026/#!/submission =========================================== ---------------------- Important Dates for December Submissions ---------------------- * Paper Registration: December 5th, 2025 * Paper Submission: December 12th, 2025 * Early reject notification: February, 2026 * Notification of Acceptance: March 31st, 2026 * Camera Ready for accepted papers: April 30th, 2026 * Publication of accepted papers: June 2026 issue of PACMNET For papers given the one-shot major revision option: * Major revision due: May 29th, 2026 * Paper Submission: June 5th, 2026 * Camera Ready for accepted papers: July 31st, 2026 * Publication of accepted papers: September 2026 issue of PACMNET All deadline times are at 24:00 Anywhere on Earth (AoE). --------------------- Aims and Scope --------------------- We especially encourage submissions that present novel experimentation, creative use of networking technologies, and new insights made possible using analysis. We invite submissions on a wide range of networking topics. The list of topics includes (in alphabetical order): * Content distribution and caching, e.g., CDN, peer-to-peer, overlays * Design, analysis, and evaluation of network architectures * Experience and lessons learned by deploying large-scale networked systems * Experience with applying machine learning, large language models (LLMs) and generative AI to networking problems * In-network computing, NFV, and network programmability * Innovative uses of network data beyond communication * Network measurements and modeling * Internet economics and policy * Mobile and wireless network protocols and applications * Machine learning as applied to all layers of networking * Networked applications, including XR, web, video, and online social networks * Network and systems for AI * Network aspects of datacenters, cloud computing, operating systems, virtualization * Network aspects of IoT * Network control and management, including SDN * Network, transport, and application-layer protocols * Next-generation mobile networks * Reliability and availability of networks, protocols, and applications * Reproducibility of networking research * Routing and traffic engineering * Security and privacy aspects of network applications, protocols, and systems * Sustainable (e.g., energy-efficient, carbon-efficient) computing and networking We are open to other contributions that stretch networking research outside of these topics, present new emerging computing trends, or potentially involve unfamiliar techniques. We welcome experience submissions that clearly articulate lessons learned, as well as submissions that refute prior published results. We emphasize that the focus of CoNEXT is networking and its impact on networked applications. For example, papers focusing on the wireless physical layer without considering the impact on the network (e.g., quantitative performance benefits, deployment challenges) are out of scope. Similarly, contributions that focus on improvements and applications of AI models are welcome if they present a critical and in-depth analysis of the advantages and disadvantages of the proposed solutions, with a clear take-home message from a networking perspective. Potential authors who are unsure of the scope are encouraged to contact the PC chairs before submission. -------------------------- Thank you for your consideration. ACM CoNEXT'26 Organization Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From almayalanis at gmail.com Thu Oct 23 21:40:01 2025 From: almayalanis at gmail.com (Alma Y. Alanis) Date: Thu, 23 Oct 2025 19:40:01 -0600 Subject: Connectionists: Deadline is approaching for ICIT 2026 Message-ID: Please feel free to distribute (Apologies for cross posting) ************************************************************* CALL FOR PAPERS (ICIT 2026) Conferencia Internacional IEEE sobre Tecnolog?a Industrial (ICIT 2026) https://icit2026.ieee-ies.org/ Special Session ?Real-time and data-based innovations in intelligent Cyber-Physical Systems? https://icit2026.ieee-ies.org/SS5_CFP.pdf Monterrey, Mexico, 4-6 March 2026 ************************************************************* ****** Call For Papers ****** AI algorithms and machine learning are central to intelligent Cyber-Physical Systems (CPS), allowing systems to learn from data, predict faults, and autonomously adapt to changing conditions. Innovations include autonomous vehicles, driverless trains, energy management, healthcare solutions, biomedical devices, and collaborative robots working alongside humans in manufacturing, energy, transportation, and other sectors, improving efficiency and safety. Integrating artificial intelligence, machine learning, and the Internet of Things to enhance real-time, adaptive, and autonomous operations. Key advancements include improved fault prediction and self-adaptation in real-world systems involving reliability by enabling systems to analyze data, make informed decisions, and maintain control in complex environments, while also sparking discussions on ethics and privacy. Within this scope, topics of interest include, but are not limited to: ? Real-time AI CPS ? AI and real-time on the edge ? Real-time Embedded AI ? Hardware in the loop for real-time CPS ? Data-based solutions for real-time CPS ? Real-time challenges for CPS ? Any related to innovations in real-time intelligent CPS Paper Submission (regular and special session): 31-Oct-2025 upcoming All the instructions for paper submission are included on the conference website: https://icit2026.ieee-ies.org Organized and co-chaired by: Alma Y. Alanis CUCEI, University of Guadalajara, Mexico Eduardo Mendez-Palos CUCEI, University of Guadalajara, Mexico Jesus G. Alvarez CUCEI, University of Guadalajara, Mexico ********************* -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 1000276518.jpg Type: image/jpeg Size: 3230979 bytes Desc: not available URL: From m2bartle at uwaterloo.ca Fri Oct 24 10:21:31 2025 From: m2bartle at uwaterloo.ca (Madeleine Bartlett) Date: Fri, 24 Oct 2025 14:21:31 +0000 Subject: Connectionists: Subject: [Meetings] 2026 Nengo Summer School Call For Applications Message-ID: Dear colleagues, [All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 11th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/hHwIryt053M?si=N70eVlC3Sm_2sDy5 We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: December 22nd, 2026*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, creating models to account for neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. BrainDrop, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * build models to account for anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * neurally implement vector symbolic architecture algorithms * and much more? Date and Location: May 31st to June 12th, 2026 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact: Madeleine Bartlett: madeleine.bartlett at uwaterloo.ca Kathryn Simone: kpsimone at uwaterloo.ca The school is partly supported by ABR, Inc. We look forward to hearing from you! Maddy ?she/her Postdoctoral Fellow University of Waterloo email: m2bartle at uwaterloo.ca -------------- next part -------------- An HTML attachment was scrubbed... URL: From ASIM.ROY at asu.edu Fri Oct 24 05:09:36 2025 From: ASIM.ROY at asu.edu (Asim Roy) Date: Fri, 24 Oct 2025 09:09:36 +0000 Subject: Connectionists: A paradigm shift for Explainable AI (XAI) and Computer Vision - Explanation First, Model Creation Next Message-ID: The following paper got published in IEEE Access this week: Explainable AI (XAI) for Object Detection and Application to Satellite Imagery | IEEE Journals & Magazine | IEEE Xplore The current issue of Phalanx, a magazine of the Military Operations Research Society (Military Operations Research Society > Home) also has a featured article on this object recognition technology: Phalanx_Summer2025_WEB.pdf The method is very simple. We build what DARPA had always wanted for Explainable AI (Explainable Artificial Intelligence | DARPA) as far as object detection/image recognition goes: verify the parts of objects for explanation. We simply flipped the process of building models. We do it very much the way houses are designed and built based on the needs of the clients - you meet with the clients first to figure out what exactly they want in the new house. The result of this process of building explainable models has surprising benefits, beyond just the explanation: 1. Higher accuracy than a standard, non-XAI model, and 2. Protection against adversarial attacks without any adversarial training. Other things: 1. It's a Neuro-Symbolic System - Ought to mention that a layer of symbol processing on top of a complex pattern recognition machine works like a charm and you get the benefits of higher accuracy and adversarial attack protection. 2. The EU AI Act - This approach to explainability will make it easy to satisfy the provisions of the EU AI Act (The Act Texts | EU Artificial Intelligence Act) which requires model explainability. Much of the inspiration and motivation for this approach came from late Prof. Horace Barlow of Cambridge University (Horace Barlow - Wikipedia), the great-grandson of Charles Darwin, who in his later years became a "single unit freak" and a proponent of the grandmother cell theory. In his words, "though I still hold that something conforming amazingly well to what was conceptualised by Jerry Lettvin 50 years ago, really does exist!... and of course the more widely discussed it is the better pleased I shall be, though I fear that what I have written will not be universally accepted, at least at first!" That single cell theory actually gets us to abstract concepts and symbolic reasoning beyond pattern recognition. And we have plenty of neurophysiological evidence for single cell abstractions in the brain. We are interested in exploring the application of these ideas for computer vision systems that are considered to be high-risk by the EU AI Act. Please feel free to contact me if there's interest in building actual applications. Asim Roy Professor, Information Systems Arizona State University Asim Roy | ASU Search [Inside Darpa's Push to Make Artificial Intelligence Explain Itself - WSJ] [cid:image004.jpg at 01DC448B.3D82AFB0] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.jpg Type: image/jpeg Size: 145809 bytes Desc: image003.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image004.jpg Type: image/jpeg Size: 32755 bytes Desc: image004.jpg URL: From pmandal5 at asu.edu Fri Oct 24 17:31:13 2025 From: pmandal5 at asu.edu (Pratanu Mandal) Date: Fri, 24 Oct 2025 14:31:13 -0700 Subject: Connectionists: =?utf-8?q?=5BCFP=5D_WSDM_2026_Workshop_on_Benchma?= =?utf-8?q?rking_Causal_Models_=28CausalBench=E2=80=9926=29?= Message-ID: =============== CALL FOR PAPERS =============== WSDM 2026 Workshop on Benchmarking Causal Models (CausalBench?26) [Location] BOISE, Idaho, USA (in conjunction with the ACM International Conference on Web Search and Data Mining ? WSDM 2026) [Date] February 26, 2026 [Website] https://wsdm26.causalbench.org/ OVERVIEW -------- The WSDM Workshop on Benchmarking Causal Models (CausalBench) aims to promote scientific collaboration, reproducibility, and fairness in causal learning research by providing a dedicated venue for work on benchmarking data, algorithms, models, and metrics for causal learning. CausalBench addresses the growing need for unified, publicly available, and configurable benchmarks that support causal discovery, causal effect estimation, and more general causal inference and learning research problems (e.g., A/B testing, experimental design, mechanistic interpretability, causal reasoning and causal RL etc.) across diverse applications, such as web search, data mining, public health, and sustainability. Standardized evaluation has historically driven progress in machine learning, as seen with UCI ML and KDD repositories, by encouraging collaborative research and reproducible science. The causal learning community now faces similar challenges: lack of unified benchmark datasets, algorithms, and metrics for reproducible evaluation. CausalBench workshop aims to - help identify existing datasets and metrics for causal learning and integrate them into standardized evaluation protocols, - encourage coverage, calibration, and uncertainty reporting for causal estimates, - develop ontologies for benchmarking, improving transparency and collaboration, - address challenges of incomplete causal knowledge and integration of heterogeneous datasets, and - help define evaluation standards to scientifically quantify progress in causal learning. The workshop will bring together researchers and practitioners to discuss new algorithms, datasets, and evaluation methodologies that help establish trust in causal learning innovation. Our goal is to foster discussion and community practices that make evaluation more transparent and comparable across different causal tasks?e.g., clarifying task taxonomies, surfacing assumption-linked metrics, and sharing accessible benchmark resources and artifacts. By encouraging open exchange on datasets and metrics, the workshop aims to catalyze incremental, evidence-based improvements to causal evaluation. TOPICS OF INTEREST ------------------ CausalBench welcomes submissions in the following research and application areas: [Benchmarking and Evaluation] Software frameworks, datasets, standard workflows/pipelines, and metrics for evaluating causal learning algorithms. [Algorithmic Advances] Novel causal discovery and causal inference models/algorithms with reproducible benchmarking results. [Data and Systems] Open-source platforms for data exchange, (automatic) model evaluation, and reproducing results for any causality related research problems: e.g., causal inference, causal discovery, causal representation learning, and causal recommendation. [Trustworthy AI] Causality-inspired methods, datasets, or metrics for benchmarking any aspect of trustworthiness of various AI systems and methods, including interpretability, safety, robustness, bias, and fairness. [Applications] Real-world demonstrations of causal benchmarking in domains, such as healthcare, finance, sustainability, and social systems?with a particular emphasis on applications in web search and data mining. Additional thematic sessions (e.g., invited talks, panels) will be held on emerging challenges in causal benchmarking. SUBMISSION GUIDELINES --------------------- [Submission Site] https://easychair.org/my/conference?conf=causalbench26 [Format] Submissions must be formatted according to the ACM SIG Proceedings Template double-column format, with a font size no smaller than 9pt. [Length] We invite submissions of extended abstracts (2-3 pages, excluding references) and research articles (4-6 pages, excluding references) that align with the workshop's themes. [File Type] PDF, maximum file size 10 MB. [Review Process] Single-blind review. [Accepted Papers] All accepted papers will be presented at the workshop and included in the official WSDM Companion Proceedings Volume. ARTIFACTS AND REPRODUCIBILITY ----------------------------- Submissions are encouraged to emphasize reproducibility, benchmark availability, and evaluation methodology. Authors are encouraged to make public and include links to code, datasets, experimental setups, and other supporting materials. While not required, the authors are also encouraged to share the relevant artifacts (data, model, metric, and benchmark runs) on CausalBench?s repositories. IMPORTANT DATES --------------- All deadlines are at 11:59 PM (Anywhere on Earth) unless otherwise noted. [Paper Submission Deadline] November 13, 2025 [Author Notification] December 18, 2025 [Camera-ready Deadline] TBD [Workshop Date] February 26, 2026 ORGANIZERS ---------- [General Chairs] K. Sel?uk Candan, Arizona State University (Email: candan at asu.edu) Huan Liu, Arizona State University (Email: huanliu at asu.edu) [Program Chairs] Ruocheng Guo, Intuit AI Research (Email: ruocheng_guo at intuit.com) Paras Sheth, Amazon (Email: parshet at amazon.com) [Web Chair] Ahmet Kapki?, Arizona State University (Email: akapkic at asu.edu) [Publicity Chair] Pratanu Mandal, Arizona State University (Email: pmandal5 at asu.edu) DUPLICATE SUBMISSIONS AND NOVELTY REQUIREMENTS ---------------------------------------------- All submissions will undergo a rigorous peer-review process to ensure quality and originality. Submissions must present original work not under review elsewhere. Concurrent submission to other venues is not permitted. Papers must cite prior work appropriately, including authors? own related publications. The submitted paper must substantially differ from earlier workshop papers by the same authors. INCLUSION AND DIVERSITY ----------------------- CausalBench embraces the values of diversity and inclusion in writing, participation, and representation. Authors should use inclusive language and examples that avoid stereotyping or marginalization of any group. CONFLICTS OF INTEREST --------------------- Authors must declare any conflicts of interest with organizers or reviewers (e.g., recent collaborations, shared affiliations, advisor/advisee relationships). Submissions with incorrect conflict declarations are subject to rejection. ACM PUBLICATIONS POLICY ON RESEARCH INVOLVING HUMAN PARTICIPANTS AND SUBJECTS ----------------------------------------------------------------------------- As a published ACM author, you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects. POLICY ON AUTHORSHIP REQUIREMENTS and GenAI ------------------------------------------- We follow the ACM policy on authorship requirements. Specifically on the use of generative AI tools and technologies, the guidelines note that: "The use of generative AI tools and technologies to create content is permitted but must be fully disclosed in the Work. For example, the authors could include the following statement in the Acknowledgements section of the Work: ChatGPT was utilized to generate sections of this Work, including text, tables, graphs, code, data, citations, etc.). If you are uncertain about the need to disclose the use of a particular tool, err on the side of caution, and include a disclosure in the acknowledgements section of the Work." CONTACT INFORMATION ------------------- For questions or clarifications, please contact the organizers at wsdm26 at causalbench.org. ACKNOWLEDGEMENTS ---------------- We thank all the contributors and the community for their continuous support and feedback in making CausalBench a reliable and valuable resource for causal learning research. This workshop is funded by NSF Grant 2311716, "CausalBench: A Cyberinfrastructure for Causal-Learning Benchmarking for Efficacy, Reproducibility, and Scientific Collaboration", and NSF Grants #2230748, "PIRE: Building Decarbonization via AI-empowered District Heat Pump Systems", #2412115, "PIPP Phase II: Analysis and Prediction of Pandemic Expansion (APPEX)" and USACE #GR40695, "Designing nature to enhance resilience of built infrastructure in western US landscapes". -------------- next part -------------- An HTML attachment was scrubbed... URL: From caspar.schwiedrzik at googlemail.com Sat Oct 25 07:41:37 2025 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Sat, 25 Oct 2025 13:41:37 +0200 Subject: Connectionists: Research Alliance Ruhr invites applications for a W3 Professorship in Computational Psychiatry at Ruhr University Bochum Message-ID: The Research Alliance Ruhr invites applications for a W3 Professorship in Computational Psychiatry at Ruhr University Bochum (Faculty of Medicine). ? https://www.academics.com/jobs/professorship-for-research-on-computational-psychiatry-w3-m-f-d-ruhr-universitaet-bochum-research-alliance-ruhr-bochum-1102229 We're looking for someone who can build bridges between machine learning, neuroscience, and mental health, using computational approaches to uncover how the brain, body, and environment give rise to resilience?or vulnerability. The position is exceptionally well-funded and part of the One Health Center, an interdisciplinary cluster of 15 professors across three universities in Bochum, linking AI, medicine, systems biology, and environmental science. The Ruhr area also hosts multiple SFBs and research centers, making this a perfect ecosystem for collaborative computational science. ? Deadline: November 12, 2025 Please share this with researchers who think in code, models, and mechanisms?and who want their work to make a societal impact. Warm regards, Caspar M. Schwiedrzik From david at irdta.eu Sat Oct 25 04:16:39 2025 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 25 Oct 2025 10:16:39 +0200 (CEST) Subject: Connectionists: AIces 2026: early registration November 8 Message-ID: <163317655.284708.1761380199573@webmail.strato.com> ****************************************************** 1st INTERNATIONAL SCHOOL ON THE COGNITIVE, ETHICAL AND SOCIETAL DIMENSIONS OF ARTIFICIAL INTELLIGENCE AIces 2026 Porto ? Maia, Portugal March 30 ? April 3, 2026 https://aices.irdta.eu/2026/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice ? IRDTA Luxembourg/London ****************************************************** Early registration: November 8, 2025 ****************************************************** SCOPE: AIces 2026 will be the first in a series of research training events aiming at updating participants on the most recent multidisciplinary discussions about the foundations, meaning, challenges and risks of AI. The event will have a global scope along 3 thematic lines: cognition, ethics, and society. It will cover current debates about: AI and philosophy of mind; cognitive architectures; machine learning and cognitive development; large language models and visual information; robotics and embodied cognition; neuroscience-inspired AI; algorithmic bias and fairness; transparency and explainability; accountability and responsibility; privacy and surveillance; autonomy and control; AI impact on human values and social inequalities; the future of work and automation; governance, regulation and public policies; AI, human rights and democracy; AI and global development; information and AI education. The event will consist of 12 courses, 2 keynote lectures, 1 round table, 1 symposium collecting short contributions from participants, and 3 open thematic debate sessions. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, AIces 2026 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: AIces 2026 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Cast?lo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 2 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. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. KEYNOTE SPEAKERS: David Danks (University of Virginia), Trustworthy AI in an Untrustworthy World Ming Lin (University of Maryland), Socially Responsible and Trustworthy AI PROFESSORS AND COURSES: (to be completed) Ricardo Baeza-Yates (Barcelona Supercomputing Center), [introductory] Introduction to Responsible AI Thomas Breuel (Nvidia Research), [introductory] Facts and Rules in LLMs Carlos Castillo (Pompeu Fabra University), [introductory] Algorithmic Fairness in High-Risk AI Applications Alan Dix (Cardiff Metropolitan University), [introductory] AI for Social Justice Elia Formisano (Maastricht University), [introductory/intermediate] Auditory Cognition in Humans and Machines Marijn Janssen (Delft University of Technology), [introductory/advanced] Data and AI Governance - From Control to Trust Christian Lebiere (Carnegie Mellon University), [intermediate] Computational Cognitive Models of Human-AI Teaming Paul Smolensky (Johns Hopkins University), [intermediate/advanced] Symbol Processing in Transformers and Other Neural Networks Savannah Thais (City University of New York), [intermediate/advanced] Measurement for Safer AI SYMPOSIUM: A half-day symposium will collect 10-minute voluntary presentations by participants on any of the 3 thematic areas of the event. A 1-page abstract containing the title, authors, and summary of the presentation must be sent to david at irdta.eu by February 28, 2026. OPEN DEBATES: A 3-hour open debate session will be organized for each of the 3 thematic areas of the school: cognition, ethics and society. Expressions of interest to lead the respective sessions will be accepted until December 30, 2025 at david at irdta.eu . A 2-page description must be sent including the topics to be debated as well as the structure, call for contributions and dynamics of the session. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://aices.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Samuel Anjos (Maia, social networks) Osheen Jain (London, communications) Jos? Paulo Marques dos Santos (Maia, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg) Jos? Lu?s Reis (Maia) Lu?s Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://aices.irdta.eu/2026/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://aices.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of academic activities. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Luxembourg/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From akirapunk at gmail.com Sun Oct 26 08:12:49 2025 From: akirapunk at gmail.com (Nicola Catenacci) Date: Sun, 26 Oct 2025 12:12:49 +0000 Subject: Connectionists: PhD in Continual and Open-ended Reinforcement Learning at the University of Hertfordshire, UK Message-ID: [Apologies for multiple posts; please distribute to interested people!] We are looking for applicants for a fully funded PhD (?20,700 per annum bursary plus the payment of the student fees) in the areas of Continual and Open-ended Reinforcement Learning at the Computer Science Department of the University of Hertfordshire, United Kingdom (deadline 14/11/2025). **PhD Project** Recent advancements in Artificial Intelligence (AI) have resolved challenges once deemed insurmountable just a decade ago, and RL is at the core of this breakthrough. However, most RL methods still struggle to operate effectively in truly open-ended, non-stationary environments. This project will push the boundaries of RL by investigating how agents can continuously learn and adapt over time; how they can autonomously develop and flexibly apply an ever-expanding repertoire of skills across various tasks; and what representations allow them to do this efficiently. Addressing these questions is crucial for creating AI systems that, despite limited computational resources, can sustain autonomous learning and adaptation in ever-changing environments throughout their lifetime?becoming increasingly knowledgeable and capable. The selected candidate will have the opportunity to master and contribute to cutting- edge techniques in deep reinforcement learning, incorporating principles from probabilistic machine learning, information theory, intrinsic motivation, continual and open-ended learning frameworks. The project will employ computer games as benchmarking tools and/or apply its findings to robotic systems (in simulations or on real-world platforms), including manipulators, intelligent autonomous vehicles, and humanoid robots.This PhD project offers a unique chance to explore some of the most profound and fascinating questions in artificial intelligence today, providing the opportunity to make a significant contribution to a field at the forefront of AI research. **Requirements** We are looking for a student who is motivated and passionate about Artificial Intelligence. A background in computer science or mathematics, together with strong programming skills, are essential requirements. Experience in reinforcement learning or robotics are desirable and will be considered a plus during the selection process. The applicant will be expected to disseminate her/his work publishing scientific articles and/or participating at international conferences. To be fluent in English is mandatory. **Where** The PhD will take place in the Adaptive System research group of the Computer Science department of the University of Hertfordshire, United Kingdom. The group is specialised in probabilistic/information-theoretic approaches to Artificial Intelligence, used for a wide range of applications such as robotics, video-games and cognitive modelling. According to the Research Excellence Framework 2021, the University of Hertfordshire is ranked in the top 25% of all UK universities for research impact and research in Computer Science has been recognised as excellent, with 90% of the research submitted and all of the research impact rated as internationally excellent or world leading. The University of Hertfordshire has ranked second in the UK 2023 Postgraduate Taught Experience survey, providing a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just 25 minutes by train to London. **How to Apply** The application must be done following the procedure indicated in this website: https://www.herts.ac.uk/study/schools-of-study/physics-engineering-and-computer-science/engineering-and-computer-science/research-in-engineering-and-computer-science/the-phd-programme-in-computer-science Interested applicants may want to contact Dr. Nicola Catenacci Volpi ( n.catenacci-volpi at herts.ac.uk) to discuss the project, the PhD program at the University of Hertfordshire and details about the application process. **Deadline** 14/11/2025 *-----------------------------------* Dr. Nicola Catenacci Volpi, PhD Research Fellow in Information Theory for AI & Robotics Adaptive Systems Research Group The University of Hertfordshire Department of Computer Science College Lane Hatfield, Hertfordshire AL10 9AB United Kingdom E-mail: n.catenacci-volpi at herts.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From florian.kofler at uni-tuebingen.de Sat Oct 25 17:09:23 2025 From: florian.kofler at uni-tuebingen.de (Florian Kofler) Date: Sat, 25 Oct 2025 23:09:23 +0200 Subject: Connectionists: =?utf-8?q?PhD_/_Doctoral_Researcher_positions_in_?= =?utf-8?b?VMO8YmluZ2Vu?= Message-ID: <9f7eeaeb-ef97-4c79-905b-442541a2e29e@uni-tuebingen.de> ? We?re hiring PhD researchers in AI & brain health! Passionate about machine learning, medicine, and neuroscience? Join the Hertie Institute for AI in Brain Health at the University of T?bingen and work on cutting-edge research at the interface of AI, biology, and clinical science. ? What to expect: ? Develop ML models for real-world clinical and scientific use ? including MRI, 3D microscopy, eye-tracking, psychophysics and other multimodal biomedical data ? Work in interdisciplinary teams in an international environment ? Be part of the T?bingen AI Center and the Cluster of Excellence ?Machine Learning ? New Perspectives for Science? ? Based in beautiful T?bingen, Germany https://www.linkedin.com/feed/update/urn:li:activity:7387170929518379009/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From thomas.j.palmeri at vanderbilt.edu Sun Oct 26 22:38:06 2025 From: thomas.j.palmeri at vanderbilt.edu (Palmeri, Thomas J) Date: Mon, 27 Oct 2025 02:38:06 +0000 Subject: Connectionists: Open Rank Faculty Search in Computation & Psychology at Vanderbilt University Message-ID: <8CCA7C30-2F7A-485C-9715-CBF3870AFD76@vanderbilt.edu> Assistant/Associate/Full Professor in Computation & Psychology College of Connected Computing Vanderbilt University is conducting a search for multiple Assistant (tenure-track), Associate, and Full Professors working at the intersection of psychology with computation or AI. The faculty will be part of Vanderbilt?s new College of Connected Computing, focused on the interdisciplinary foundations and applications of computer science. They will work collaboratively on unique questions that integrate psychological theory to advance AI and/or use advanced computation to answer deep psychological questions. Faculty will also help to develop robust academic and graduate programs integrating computation and psychology fundamentally. Collaboration across Vanderbilt, especially with our renowned Psychology departments, is encouraged in order to advance breakthrough discoveries, with the possibility for secondary and joint appointments. Specific fields of interest and emerging areas of study include: ? Computational models of cognition ? Computational social psychology ? Affective computing ? Clinical mental health informatics ? Computational models of development ? Machine learning and psychometrics ? Computational neuroscience ? Behavioral/social foundation modeling ? Natural language processing ? Agentic and generative AI Vanderbilt University is a private university with a long history of pioneering work in computational psychology. The 330 acre park-like campus is on the western edge of downtown Nashville, Tennessee. Nashville is a regional center for culture and technology which has been growing alongside the University since Vanderbilt?s opening 150 years ago, in 1875. Qualifications Candidates must have a Ph.D. in computer science, psychology, biology (or a related field such as statistics, data science, communications, or neuroscience). Candidates must have a research program with a strong record of peer-reviewed publication using advanced computational methods (such as computational modeling, machine learning, AI, or algorithm development). Candidates should also have a track record of contributing to multidisciplinary and/or multi-institutional collaborative research projects. Teaching in the College of Connected Computing is a component of this position. Candidate Instructions We ask that candidates provide information to Vanderbilt through Interfolio by following these links: Assistant (TT): https://apply.interfolio.com/175958 Associate or Full: https://apply.interfolio.com/175978 Please provide a cover letter, curriculum vitae, research statement, teaching statement, evaluations of teaching (if available), and 3 to 5 contacts for letters of reference. The cover letter should articulate the applicant's specific interest in this position, explain how this role aligns with their career goals, and/or discuss their fit. Application review will begin November 5, 2025. Contact (Search Committee Chair): Andy Schwartz (hansen.schwartz at Vanderbilt.Edu) -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Oct 26 05:54:21 2025 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 26 Oct 2025 10:54:21 +0100 Subject: Connectionists: World wide VVTNS series: Sixth season opening lecture, Wednesday, October 29, 2025, at 11:00 am EDT - Andrew Barto In-Reply-To: References: Message-ID: *Important:* The seminar is at 11 am *EDT* Europe moved to Winter Time on Sunday, October 26, 2025 US will move to Winter Time next Sunday, November 2 This week 11 am EDT= 4pm CET Check the time where you are [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the sixth season opening lecture of the online VVTNS series Andrew Barto University of Massachusetts Amherst on the topic of What is So Interesting About Reinforcement Learning? The lecture will be held on zoom on October 29, 2025, at *11:00 am EDT * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *This talk aims to answer these questions along four dimensions. First is history. RL was the basis of AI long before the term AI was introduced in 1956. The first machine learning (ML) systems were based on RL even before digital computers existed. Despite notable early successes of ML based on RL, RL essentially disappeared from ML until relatively recently. A second reason for renewed interest in RL is the clarification of some misunderstandings that have been prevalent in the ML community. A third, and most important, reason for this resurgence is that new, or rediscovered, algorithms and connections to well developed mathematical and engineering methods have been worked out. Finally, a fourth reason for the renewed interest in RL is its strong links to animal reward systems, in particular, to the role that dopamine plays in motivation and learning. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From i.lin at ucl.ac.uk Mon Oct 27 07:53:41 2025 From: i.lin at ucl.ac.uk (Lin, I-Chun) Date: Mon, 27 Oct 2025 11:53:41 +0000 Subject: Connectionists: Closing soon! Apply by Nov 3rd for 2026 entry to Gatsby Unit PhD programme / joint PhD programme Message-ID: <00227861-4986-440B-A14A-E6A912B3AAEE@ucl.ac.uk> 4-Year PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: 17:00 GMT, Monday 3 November 2025 We welcome applications for 2026 entry to the Gatsby Unit PhD programme at University College London (UCL). Our research focuses on the mathematical principles of learning, perception and action in brains and machines. Ours is one of the original programmes to bring together neuroscience and machine learning, creating a critical mass for interaction amongst theoreticians in related fields. First-year courses provide training in machine learning as well as theoretical and systems neuroscience, after which PhD project may specialise in machine learning, theoretical neuroscience or encompass both. Students are encouraged to work closely with colleagues in the Sainsbury Wellcome Centre for Neural Circuits and Behaviour and/or the ELLIS Unit at UCL; and we have strong links to many world-class research groups at UCL and beyond. Applicants should have a very strong analytical and mathematical background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. See http://www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gatsby-unit-phd-programme for details on how to apply. 4-Year Gatsby Unit and Sainsbury Wellcome Centre Joint PhD Programme Deadline: 17:00 GMT, Monday 3 November 2025 The Gatsby Unit (GCNU) and Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) have launched a 4-year joint PhD programme that aims to bridge the gap between theory and experiments. This PhD programme is designed to immerse students in both experimental and theoretical thinking, providing a rigorous preparation for an interdisciplinary research career. Courses in the first year provide a comprehensive introduction to systems neuroscience, theoretical/computational neuroscience, and machine learning. Students will be part of the broader trainee cohort across both centres, interacting and engaging in scientific discussion with both SWC and GCNU researchers with equal emphasis. GCNU and SWC provide a unique opportunity for a critical mass of theoreticians and experimentalists to interact closely with one another and with researchers at the ELLIS Unit at UCL and related UCL departments/domains such as UCL Neuroscience Domain; Artificial Intelligence; Computer Science; Statistical Science; and the nearby Francis Crick and Alan Turing Institutes. Applicants should have a strong analytical and mathematical background, a keen interest in neuroscience, and a relevant first degree (e.g., in Computer Science, Cognitive Psychology, Engineering, Mathematics, Neuroscience, Physics, Statistics). Full funding is available regardless of nationality. We also welcome applicants who have secured or are seeking funding from other sources. For programme details (including the key differences between the Gatsby Unit PhD programme, the SWC PhD programme, and the joint programme) and how to apply, see https://www.ucl.ac.uk/life-sciences/gatsby/study-and-work/gcnu-swc-joint-phd-programme. Further information on the Gatsby Unit: The Gatsby Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. We are a community of around 50 academic and research staff, students and support staff. We function as far as possible as a single large research group, interacting closely through regular unit-wide research activities. Many leading researchers in both machine learning and neuroscience have studied or worked in the Unit. Over 40% of our PhD and postdoctoral alumni hold a faculty position and about 30% work in research development in companies such as Google DeepMind (itself founded by two of our alumni), Meta and Anthropic. * Information on our research: https://www.ucl.ac.uk/life-sciences/gatsby/research * Read more about our faculty members: https://www.ucl.ac.uk/life-sciences/gatsby/people -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtkostecki at gmail.com Mon Oct 27 08:14:55 2025 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Mon, 27 Oct 2025 13:14:55 +0100 Subject: Connectionists: Why are there neuroscientists? Workshop of Ideas in Neuroscience, Dec 5th, Heidelberg Message-ID: Hello! We are happy to announce the first Workshop of Ideas in Neuroscience held by Heidelberg Open Lab - *Why are there neuroscientists? * Try to surprise your colleagues with a sudden question ? why are you doing neuroscience? You may expect them to fall silent for a moment, and then give you one of those unsatisfactory answers: *oh, I was always fascinated by how the mind works*. Or: *it somehow happened*. We rarely have good answers to those questions. And yet there is an intricate web of reasons why we study the visual cortices of mice, the spatial cognition of bats, or the molecular basis of Alzheimer?s disease in humans. We certainly have our long-time fascinations ? in memory, perception, and action ? but we are also guided by previous, often random choices, inspired by other people, or shaped by circumstances. Some of us are guided by more or less pure curiosity, others by a hope of helping others. And then there are also those who genuinely don?t know. The aim of this short workshop will be to discuss in depth our reasons for doing neuroscience. In a series of short talks, discussions, and group tasks ? in the spirit of our Schools and Workshops of Ideas ? we will try to ask (and maybe answer) questions: - What motivates our research? - How do our stated purposes for our research ? the ones that we speak about in public, in grant writing or science communication ? relate to our real motivations? - How do our reasons to do brain research influence our methodological choices? - How do the reasons we have differ depending on our background? Why does it matter? This workshop will be held in the spirit of our Schools of Ideas?with an informal atmosphere and an open exchange of thoughts and perspectives. We invite especially early-stage researchers in neuroscience or cognitive sciences, as well as philosophy and STS. The workshop will be held in a stationary manner in Heidelberg, on December 5th. Please find more info and the application form here - https://openlabhd.org/why/. With best wishes, Mateusz Kostecki -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Mon Oct 27 09:10:11 2025 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Mon, 27 Oct 2025 13:10:11 +0000 Subject: Connectionists: NEURAL NETWORKS, Nov. 2025 Message-ID: Neural Networks - Volume 191, November 2025 https://www.journals.elsevier.com/neural-networks Tensor network decomposition for data recovery: Recent advancements and future prospects Yu-Bang Zheng, Xi-Le Zhao, Heng-Chao Li, Chao Li, ... Qibin Zhao Gradient aware adaptive quantization: Locally uniform quantization with learnable clipping thresholds for globally non-uniform weights Kang Zhou, Yuning Qiu, Yuhang Li, Qibin Zhao, Guoxu Zhou MSC-transformer-based 3D-attention with knowledge distillation for multi-action classification of separate lower limbs Heng Yan, Zilu Wang, Junhua Li Intracortical functional connectivity during deep sleep reveals prosocial preferences Andjela Markovic, Lorena R.R. Gianotti, Mirjam Studler, Daria Knoch CGNet: A Complex-valued Graph Network for jointly learning amplitude-phase information in EEG-based brain?computer interfaces Guoqing Cai, Yiyi Chen, Bolun Yang, Yanwu Yang, ... Yilong Wang Energy efficiency and sensitivity benefits in a motion processing adaptive recurrent neural network Vishnu Mohan, Reuben Rideaux Multisensory integration in chaotic networks Adam Ponzi, Keisuke Suzuki Shaping pre-trained language models for task-specific embedding generation via consistency calibration Jianqi Gao, Hang Yu, Yiu-ming Cheung, Jian Cao, ... Yonggang Zhang Foster noisy label learning by exploiting noise-induced distortion in foreground localization Ang Chen, Feng Xu, Xin Lyu, Tao Zeng, Xin Li Unified semantic space learning for cross-modal retrieval Jie Zhu, Jianan Liu, Shufang Wu, Feng Zhang RIVA: Efficient relational inference with variate attention Ruizi Wu, Liming Pan, Linyuan L? Hierarchical feature-guided prototypical network for few-shot knowledge graph completion Yuling Li, Kui Yu, Fei Yang, Chunfeng Shen, ... Kang Liu sEntIMeldCL: Enhancing explicit knowledge via Uniform-based Implicit Contrastive Mechanism for Aspect-Level Sentiment Analysis Khwaja Mutahir Ahmad, Qiao Liu, Abdullah Aman Khan, Renning Pang, ... Yanglei Gan Few-shot event-based action recognition Zanxi Ruan, Nan Pu, Jiangming Chen, Songqun Gao, ... Yingmei Wei Multi-scale signed graph convolutional network based on framelet Yuting Chu, Fujiao Ju, Yanfeng Sun, Shaofan Wang, ... Baocai Yin Path-aware multi-scale learning for heterogeneous graph neural network Jin Fan, Jiajun Yang, Zhangyu Gu, Huifeng Wu, ... Jia Wu A lightweight spiking neural network for EEG-based motor imagery classification Herui Zhang, Haoran Wang, Jiayu An, Shitao Zheng, Dongrui Wu CTFS: A consolidated transformer framework for instance and semantic segmentation tasks Kun Dai, Fuyuan Qiu, Hongbo Gao, Tao Xie, ... Ke Wang Degradation-Guided cross-consistent deep unfolding network for video restoration under diverse weathers Yuanshuo Cheng, Mingwen Shao, Yecong Wan, Yuanjian Qiao, ... Deyu Meng PRformer: Pyramidal recurrent transformer for multivariate time series forecasting Yongbo Yu, Weizhong Yu, Feiping Nie, Zongcheng Miao, ... Xuelong Li Comprehensive disentanglement with fine-grained feature mitigation for domain generalization Youjia Shao, Changshuo Wang, Qihang Jia, Wencang Zhao Bridging the gap between ratings and true user opinions with dynamic review alignment for personalized recommendation Xinyu Liu, Jinxia Guo, Qirui Hao, Hongliang Wang, ... Junming Shao DiffCNN: A collaborative framework of diffusion model and CNN for semi-supervised medical image segmentation Shanshan Xu, Lixia Tian A link prediction method for multi-modal knowledge graphs based on Adaptive Fusion and Modality Information Enhancement Zenglong Wang, Xuan Liu, Zheng Liu, Yu Weng, Chaomurilige Refining visual token sequence for efficient image captioning Tiantao Xian, Zhiheng Zhou, Wenlve Zhou, Zhipeng Zhang Backdoor attacks against Hybrid Classical-Quantum Neural Networks Ji Guo, Wenbo Jiang, Rui Zhang, Wenshu Fan, ... Hongwei Li ITS2Graph: Graph-based generative adversarial learning for imbalanced time series classification Chang Liu, Donghai Guan, Weiwei Yuan, ?etin Kaya Ko? Think straight or think again? Continual joint learning of deduction, abduction and induction Kai Xiong, Xiao Ding, Yixin Cao, Yang Zhao, ... Bing Qin Attacking cooperative multi-agent reinforcement learning by adversarial minority influence Simin Li, Jun Guo, Jingqiao Xiu, Yuwei Zheng, ... Xianglong Liu Nonlinear multi-view clustering for non-negative matrix factorization Jinrong Cui, Bang Liufu, Yulu Fu, Meihua Wang, Zhihui Lai HG2P: Hippocampus-inspired high-reward graph and model-free Q-gradient penalty for path planning and motion control Haoran Wang, Yaoru Sun, Zeshen Tang, Haibo Shi, Chenyuan Jiao Embeddings hidden layers learning for neural network compression Jia Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi ESTSformer: Efficient spatio-temporal spiking transformer Chengzhuo Lu, Huilin Du, Wenjie Wei, Qian Sun, ... Yang Yang HTS-LB: Hypergraph tree search for learning branch Yige Zhang, Xiaoyan Zhang, Jian Sun, Ying Li, Jiaquan Gao Anchor Graph Learning with Double Noise Removal for Multi-View Clustering Zhe Chen, Mingzhi Zhu, Hui Li, Tianyang Xu Data-based decentralized control of nonlinear-constrained interconnected systems using reinforcement learning Guang Yang, Xiong Yang Learning generalizable agents via self-supervised exploration Baoxian Liang, Lihong Xu, Zhichao Deng MsDUNE: A multi-scale masked temporal fusion framework for speaker-independent lipreading via Dirichlet uncertainty estimation Jinghan Wu, Xingwei An, Yakun Zhang, Changyan Zheng, ... Erwei Yin Semantic segmentation in adverse scenes with fewer labeled images Guanhua An, Jichang Guo, Chunle Guo, Yudong Wang, Chongyi Li Combining aggregated attention and transformer architecture for accurate and efficient performance of Spiking Neural Networks Hangming Zhang, Alexander Sboev, Roman Rybka, Qiang Yu Foreground-aware Universe Graph Matching for Domain Adaptive Object Detection Chao Wen, Yongbo Wang, Yuhua Qian Online lifelong optimal tracking control of uncertain nonlinear continuous-time strict-feedback systems using deep neural networks Irfan Ganie, S. Jagannathan Event prediction model combining ordinary differential equation and hypernetworks Ying Wang, Xianglin Zuo, Xinglin Liu, Fuyuan Ma, ... Bo Yang Zero-shot sketch-based remote sensing image retrieval based on cross-modal fusion Yang Liu, Yuhao Dang, Huaizhou Qi, Jungong Han, Ling Shao Enhancing multivariate spatio-temporal forecasting via complete dynamic causal modeling Keqing Du, Xinyu Yang, Hang Chen Redesigning deep neural networks: Bridging game theory and statistical physics Djamel Bouchaffra, Faycal Ykhlef, Bilal Faye, Mustapha Lebbah, Hanene Azzag Relationship completion for incomplete multi-view clustering Minghong Wu, Jihua Zhu, Wenbiao Yan, Bin Chen, Qinghai Zheng Gradient amplification for gradient matching based dataset distillation Jingxuan Zhang, Zhihua Chen, Lei Dai, Ping Li, Bin Sheng Att-BrainNet: Attention-based BrainNet for lung cancer segmentation network Xvhao Xiao, Zhong Wang, Junping Yao, Jing Wei, ... Enmin Song BiFormer: A Bipartite-stream Information Fusion framework for large-scale graph representation learning Qi Zhang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin Outlier-trimmed dual-interval smoothing loss for sample selection in learning with noisy labels Senyu Hou, Maolong Xu, Gaoxia Jiang, Yaqing Guo, Wenjian Wang PromptSED: An evolving topic-enhanced prompting framework for incremental social event detection Xiaoyan Yu, Jiaqian Ren, Lei Jiang, Hao Peng, ... Philip S. Yu Deep predictive coding with bi-directional propagation for classification and reconstruction Senhui Qiu, Saugat Bhattacharyya, Damien Coyle, Shirin Dora Adversarial guided diffusion models for adversarial purification Guang Lin, Zerui Tao, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao Uncertainty-guided attention learning for malaria parasite detection in thick blood smears Hao Xiong, Zhiyong Wang, Roneel V. Sharan, Shlomo Berkovsky Structural consistency learning for unsupervised domain adaptive object detection Zhiyu Jiang, Jie Chen, Yuan Yuan A dynamic ensemble learning model for robust Graph Neural Networks Chenyu Zhou, Yabin Peng, Wei Huang, Xinyuan Miao, ... Xianglong Kong A confidence-guided Unsupervised domain adaptation network with pseudo-labeling and deformable CNN-transformer for medical image segmentation Jiwen Zhou, Yue Xu, Zinan Liu, Fabien Pfaender, Wanyu Liu KGFedRS: Knowledge Graph enhanced Federated Recommender System Xiao Ma, Xuan Wen, Jiangfeng Zeng, Ping Xiong, Xingyu Han Multimodal prediction of catheter ablation outcomes in patients with persistent atrial fibrillation Zhan Zhou, Yanjie Chen, Fengxiang Zhang, Hanjie Liu, ... Jinde Cao Aspect sentiment learning for Aspect-Level Sentiment Classification Zhongquan Jian, Jiajian Li, Meihong Wang, Junfeng Yao, Qingqiang Wu SREGS: Sparse-view Gaussian radiance fields with geometric regularization and region exploration Xiaotong Li, Kefeng Li, Guangyuan Zhang, Zhenfang Zhu, ... Yongpeng Zhao Hyperbolic Bernstein Neural Networks: Enhancing graph convolutions in non-Euclidean spaces Yanqun Ye, Xu Chen, Shuyang Wang, Yongjun Jing Similarity-based prototype reconstruction and feature reorganization for non-exemplar class incremental learning Chao Zhou, Jun Sun, Vasile Palade, Xiaojun Wu Loss-driven dynamic weight and residual transformation in physics-informed neural network Yabin Zhang, Liang-Jian Deng PT-BitNet: Scaling up the 1-Bit large language model with post-training quantization Yufei Guo, Zecheng Hao, Jiahang Shao, Jie Zhou, ... Zhe Ma EAAR: Efficient and Accurate Action Recognition model with enhanced spatio-temporal perception Shilin Chen, Xingwang Wang, Yafeng Sun, Kun Yang, Xiaohui Wei HyperMask: Adaptive hypernetwork-based masks for continual learning Kamil Ksi??ek, Przemys?aw Spurek Learning model-level explanations of graph neural networks via subgraph order embedding space Li Liu, Pengyu Wan, Feiyan Zhang, Youmin Zhang, ... Guoyin Wang Decoupling upper and lower face transformers for binary interactive video generation Daowu Yang, Ying Liu, Qiyun Yang, Ruihui Li An incomplete multiview clustering approach considering missing data recovery based on consistency Zhuowen Li, Hongmei Chen, Biao Xiang, Zhong Yuan, ... Tianrui Li ACCNet: Adaptive cross-frequency coupling graph attention for EEG emotion recognition Dongyuan Tian, Yucheng Wang, Peiliang Gong, Zhewen Xu, ... Min Wu Disentangled representation learning for multi-view clustering via von Mises?Fisher hyperspherical embedding Zhixiang Li, Zhiwen Luo, Nizar Bouguila, Weifeng Su, Wentao Fan Automated tactics planning for cyber attack and defense based on large language model agents Yimo Ren, Jinfa Wang, Zhihui Zhao, Hui Wen, ... Hongsong Zhu Neighborhood structure enhancement and denoising method for multi-behavior recommendation Wei Cai, ZhiHong Zheng, Xuan Zhang, Weiyi Shang, ... Zhi Jin Data-driven optimal tracking control for nonlinear systems with performance constraints via adaptive dynamic programming Lulu Zhang, Huaguang Zhang, Xiaohui Yue, Tianbiao Wang Redundancy-Adaptive Multimodal Learning for imperfect data Mengxi Chen, Jiangchao Yao, Linyu Xing, Yu Wang, ... Yanfeng Wang A triple-branch hybrid dynamic-static alignment strategy for vision-language tasks Xiang Shen, Chongqing Chen, Dezhi Han, Yangshuyi Xu, ... Huiyu Zhou Post-training quantization for efficient ANN-SNN conversion Ruimin Sun, De Ma, Gang Pan Shapley value-driven multi-modal deep reinforcement learning for complex decision-making Jie Zhang, Boqiang Bao, Chao Wang, Feng Zhu Learned low-rank representation and its theoretical convergence analysis Weilin Shen, Junmin Liu, Xiangyu Chang KKANs: Ku?rkov?-Kolmogorov-Arnold networks and their learning dynamics Juan Diego Toscano, Li-Lian Wang, George Em Karniadakis Periodic-noise-tolerant neurodynamic approach for WTA operation applied to opinions evolution Jiexing Li, Yongji Guan, Tiantai Deng, Long Jin Output contraction analysis of discrete-time nonlinear systems with an application to RNNs Yewang Gao, Ticao Jiao, Yuxia Li, Bo Li, ... Xuening Xing Long-term simulation of physical and mechanical behaviors using curriculum-transfer-learning based physics-informed neural networks Yuan Guo, Zhuojia Fu, Jian Min, Shiyu Lin, ... Xiaoying Zhuang Exponential stability of state-dependent impulsive Hopfield neural networks with beating phenomena Zhong Dai, Shutang Liu Learning multi-regularized mutation-aware correlation filter for object tracking via an adaptive hybrid model Sathiyamoorthi Arthanari, Jae Hoon Jeong, Young Hoon Joo The architecture design and training optimization of spiking neural network with low-latency and high-performance for classification and segmentation Wujian Ye, Shaozhen Chen, Haoxian Liu, Yijun Liu, ... Wenjie Lin Neural-network-based event-triggered adaptive secure fault-tolerant containment control for nonlinear multi-agent systems under denial-of-service attacks Xiangjun Wu, Shuo Ding, Ning Zhao, Huanqing Wang, Ben Niu SimTA++: Simple attention neural network for clinical asynchronous time series Zhihao Li, Jingyu Li, Kaiming Kuang, Baoyu Jing, ... Jiancheng Yang Operating performance assessment of industrial process based on MIC-graph convolutional networks with local slow feature analysis Lili Hao, Fei Chu, Tao Chen, Mingxing Jia, Fuli Wang Event-triggered ADP-based tracking controller for partially unknown nonlinear uncertain systems with input and state constraints Raju Dahal, Indrani Kar Rethinking mixture of rain removal via depth-guided adversarial learning Yongzhen Wang, Xuefeng Yan, Yanbiao Niu, Lina Gong, ... Mingqiang Wei Bayesian inverse problems with conditional Sinkhorn generative adversarial networks in least volume latent spaces Qiuyi Chen, Panagiotis Tsilifis, Mark Fuge Neural networks with low-resolution parameters Eduardo Lobo Lustosa Cabral, Larissa Driemeier Decoding olfactory response from neurophysiological signal with a multi modal deep learning framework Chengxuan Tong, Yi Ding, Aung Aung Phyo Wai, Hui Xin Joanna Chua, ... Cuntai Guan Flexible visually secure image encryption with meta-learning compression and chaotic systems Wei Chen, Yichuan Wang, Cheng Shi, Guanglei Sheng, ... Xinhong Hei Stealthy and efficient adversarial example attack on video retrieval systems Xin Yao, Enlang Li, Yimin Chen, Jiawei Guo, ... Ming Zhao CosELU: An improved activation deep neural network for EEG signal recognition in stroke patients Shuaishi Liu, Wenkai Ji, Qiye Zhou, Xiaoqin Duan, ... Zhongbo Sun A federated vehicle re-identification benchmark and performance optimization using dual-phase contrastive dynamic aggregation Linhan Huang, Jianqing Zhu, Yutao Chen, Qianqian Zhao, Huanqiang Zeng CIDRA-Net: Cross-modal interaction fusion network with distribution-relation awareness for robust 3D object detection Hongqi Yu, Xiaoqin Zhang, Xiaolong Zhou, Sixian Chan Key features-guided Multi-View Collaborative Network for image captioning Wencai Zhu, Zetao Jiang, Xu Wu A weakly-supervised oriented object detector : Knowledge-based dropblock and unified regression network Lijuan Duan, Zichen Zhang, Zhaoying Liu, Fengjin Xiao Lightweight real-time speech enhancement: State-space models and multi-spectral scanning techniques Xiaodong Zhu, Junqi Yang, Yuhong Yang, Weiping Tu, Zhongyuan Wang S-YOLO: An enhanced small object detection method based on adaptive gating strategy and dynamic multi-scale focus module Zengnan Wang, Feng Yan, Liejun Wang, Yabo Yin, Jiahuan Lin Memory-augmented shuffled meta learning for visible?infrared person re-identification Hanxiao Wu, Yutao Chen, Yi Xie, Jianqing Zhu, ... Huanqiang Zeng Real-time data-efficient portrait stylization via geometric alignment Xinrui Wang, Zhuoru Li, Xuanyu Yin, Xiao Zhou, ... Jiaxian Guo E2TP: Element to tuple prompting improves aspect sentiment tuple prediction Mohammad Ghiasvand Mohammadkhani, Niloofar Ranjbar, Saeedeh Momtazi Democratizing large language model-based graph data augmentation via latent knowledge graphs Yushi Feng, Tsai Hor Chan, Guosheng Yin, Lequan Yu Curriculum negative mining for temporal networks Ziyue Chen, Tongya Zheng, Mingli Song Pixel adaptive deep-unfolding neural network with state space model for image deraining Yao Xiao, Youshen Xia Practicing in quiz, assessing in quiz: A quiz-based neural network approach for knowledge tracing Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, ... Kai Zhang -------------- next part -------------- An HTML attachment was scrubbed... URL: From lisa.otten at univ-amu.fr Mon Oct 27 08:21:49 2025 From: lisa.otten at univ-amu.fr (Lisa Otten) Date: Mon, 27 Oct 2025 13:21:49 +0100 Subject: Connectionists: Event announcements: EBRAINS Summit & Camillo Golgi International school of Brain Cells & Circuits Message-ID: Dear all, I am writing to you about two important upcoming events: EBRAINS Summit 2025 - Transforming Brain Research and Medicine taking place from 8-11 December at The Egg in Brussels! and Camillo Golgi International school of Brain Cells & Circuits It is an important opportunity for us to get together. I am sharing some of the official program details for both events here below: ????????? EBRAINS Summit 2025 The Summit will feature a rich programme including?scientific talks?with leading experts such as?Professor Rafael Yuste?from Columbia University?and?Professor Onur G?nt?rk?n?from?Ruhr University Bochum. Executive Vice-President for Tech Sovereignty, Security and Democracy, Henna Virkkunen, European Commission, and Executive Director, Anders Dam Jensen, European High Performance Computing Joint Undertaking, will deliver welcome speeches. In addition, the programme will include a?public day, a?science slam,?poster sessions, and a?science market exhibition?-?all focused on advancing digital neuroscience. The programme will showcase how EBRAINS? Research Infrastructure, digital tools and services are being actively used to advance neuroscience and drive innovation. Through real-world examples, attendees will explore how these resources support digital neuroscience research, with sessions covering topics such as AI and its connections to neuroscience, brain medicine, neuromorphic computing, and more. The EBRAINS Summit 2025 partners with the International Neuroinformatics Coordinating Facility (INCF ) to support the shared mission of both organisations. The Joint Day with INCF on Thursday, 11 December will highlight our joint commitment to FAIR, open, and collaborative neuroscience. More details about the event and registrations are available on the EBRAINS Summit website. ????????? Camillo Golgi International school of Brain Cells & Circuits 2025 marks 10 years of the School of Brain Cells and Circuits dedicated to ?Camillo Golgi?. The 2025 Course will consider the journey of these 10 years and look forward to where we are with modelling the brain and its dynamics, towards clinical applications. Over the years we have formed a partnership with EBRAINS that offers an ideal ecosystem for collaborations and sharing of data and tools. Indeed, the school operates in synergy with another EBRAINS workshop (EITN https://www.eitn.org/) where the latter offers the possibility to dive deeper into the computational side of virtual brain modelling, while in Erice we will foster in depth discussions on fundamental neuroscience and clinical issues. This year, we will continue to dig deep into the brain digital twin, which will provide a great learning opportunity. The program is here below: https://www.erice-golgi.org/wp-content/uploads/2025/09/Erice-2025-v2-published-25Sept2025.pdf ? I hope to see you there! Kind regards, Viktor Jirsa Director of the Institut de Neurosciences des Syst?mes, INS UMR 1106 in Marseille, France -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: preview.png Type: image/png Size: 317206 bytes Desc: not available URL: From hocine.cherifi at gmail.com Mon Oct 27 11:52:20 2025 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 27 Oct 2025 16:52:20 +0100 Subject: Connectionists: =?utf-8?q?=F0=9F=93=A5_Download_FRCCS_2025_Public?= =?utf-8?q?ations_=E2=80=94_Discover_ISCS_2026_in_La_Rochelle?= Message-ID: Dear Colleagues, We are delighted to announce that the *Proceedings* and *Book of Abstracts* of *FRCCS 2025* are now available online: You can access both publications at the following link: ? https://drive.google.com/drive/folders/1ITc_5Q-vADLuhPdpWKMuz9qJA2CvlGIV?usp=sharing We sincerely thank all contributors for making FRCCS 2025 in Bordeaux a rich and inspiring event. Looking ahead, we are pleased to inform you that the conference is evolving into the *International Symposium on Complex Systems (ISCS)*, reflecting its growing international scope. ? *Next Edition: ISCS 2026 ? International Symposium on Complex Systems* ? *La Rochelle, France* ? *June 3?5, 2026* ? https://iutdijon.u-bourgogne.fr/iscs/ *Important Dates* ?? Submission Deadline: *March 2, 2026* ? Acceptance Notification: *March 31, 2026* ? Author Registration: *April 20, 2026* We look forward to seeing you in *La Rochelle* for the 6th edition of this growing international symposium! With best regards, *Hocine Cherifi* On behalf of the FRCCS 2025 Organizing Committee Join us at COMPLEX NETWORKS 2025 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science Plos Complex Systems Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Evolutionary Intelligence -------------- next part -------------- An HTML attachment was scrubbed... URL: From m2bartle at uwaterloo.ca Mon Oct 27 12:11:00 2025 From: m2bartle at uwaterloo.ca (Madeleine Bartlett) Date: Mon, 27 Oct 2025 16:11:00 +0000 Subject: Connectionists: Meetings - 2026 Nengo Summer School Call For Applications Message-ID: Dear colleagues, All details about this school can be found online at https://www.nengo.ai/summer-school The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 11th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/hHwIryt053M?si=N70eVlC3Sm_2sDy5 We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: December 22nd, 2026*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, creating models to account for neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. BrainDrop, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * build models to account for anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * neurally implement vector symbolic architecture algorithms * and much more? Date and Location: May 31st to June 12th, 2026 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact: Madeleine Bartlett: madeleine.bartlett at uwaterloo.ca Kathryn Simone: kpsimone at uwaterloo.ca The school is partly supported by ABR, Inc. We look forward to hearing from you! Maddy ?she/her Postdoctoral Fellow University of Waterloo email: m2bartle at uwaterloo.ca -------------- next part -------------- An HTML attachment was scrubbed... URL: From khaled.shaalan at gmail.com Tue Oct 28 09:47:27 2025 From: khaled.shaalan at gmail.com (Khaled Shaalan) Date: Tue, 28 Oct 2025 17:47:27 +0400 Subject: Connectionists: [Deadline Extension & Final CFP]: 7th International Conference on AI in Computational Linguistics (ACLing-2025) Message-ID: ========================= 7th International Conference on AI in Computational Linguistics (ACLing 2025), December 6-7, 2025 (Hybrid Conference) Publication: Procedia Computer Science by ELSEVIER Website: https://acling.org/ ========================= ## IMPORTANT DATES ## * Submission Deadline: 10 November 2025 (Extended) * Acceptance Notifications: 15 November 2025 * Final camera-ready Submission: 17 November 2025 * Author ?Registration & Payment: 20 November 2025 * Conference Date: 6-7 December 2025 ========================= ## INTRODUCTION ## The AI in Computational Linguistics (ACLing) conference serves as a premier international platform for the dissemination of cutting-edge research at the intersection of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). In light of rapid advancements in neural networks and large language models, the conference aims to foster scholarly exchange and collaboration among leading academics, researchers, and industry professionals engaged in the development and application of AI-driven methods in computational linguistics. ACLing welcomes high-quality contributions that address theoretical foundations, novel algorithms, and practical implementations across all dimensions of AI and ML in language technologies. The conference seeks to promote dialogue on emerging trends, innovative solutions, and critical challenges in the field, reflecting the growing importance and societal impact of AI-powered language processing. This year, the conference will be hosted by The British University in Dubai (BUiD), an institution recognized for its dedication to academic excellence, impactful research, and global engagement. BUiD?s commitment to fostering interdisciplinary innovation makes it an ideal venue for this prestigious event. ========================= ## Keynote Speaker# Dr. Muhammad Abdul-Mageed, The University of British Columbia, Canada ( https://mageed.arts.ubc.ca/) ========================= ## TOPICS ## We welcome submissions in (but not limited to) the following areas: * Advanced Information Retrieval and Question Answering * Knowledge and Information Extraction * Linguistic Theories and Formal Resources for AI * Statistical and Neural Language Modeling * Speech Technologies and Multimodal Language Interfaces * Machine Translation and Cross-Lingual NLP * Multilinguality, Code-Switching, and Low-Resource Languages * Domain-Specific NLP (e.g., Legal, Biomedical, Scientific, Educational) * Syntactic Analysis, Tagging, and Parsing * Semantics, Pragmatics, and Commonsense Reasoning * Emotion Recognition, Sentiment Analysis, and Social Signal Processing * NLP for Social Media and Computational Social Science * Conversational AI, Spoken Dialogue, and Interactive Systems * Abstractive and Extractive Text Summarization * Natural Language Generation, Storytelling, and Creative AI * Text Classification, Topic Modeling, and Document Understanding * Text Mining and Large-Scale Knowledge Discovery * Vision-Language Models and Multimodal AI * Ethical, Legal, and Societal Implications of AI in Language Technologies * Large Language Models (LLMs): Architecture, Optimization, and Applications * Responsible and Interpretable AI for Language Understanding * Generative AI: Models, Evaluation, and Emerging Applications * Reinforcement Learning and Prompt Engineering for NLP Tasks * AI for Resource-Poor and Endangered Languages * Human-Centered NLP and User-Aware Language Interfaces * Benchmarking, Evaluation Metrics, and Explainability in NLP * AI-Augmented Writing, Reading, and Translation Tools This wide-ranging list reflects the dynamic nature of the field and aims to encourage interdisciplinary engagement that advances the frontiers of AI-driven language technologies. ========================= ## Submission Guidelines ## All submissions will be peer-reviewed by at least two Program Committee members. All accepted papers will be included in the conference proceedings and will be published in Procedia Computer Science by ELSEVIER. Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of the authors. We encourage submissions that describe original unpublished work not currently under review for any other conference or journal. Submissions should be prepared according to the main conference guidelines and format described at the Submission Web Page: https://acling.org/submission/ Papers must be submitted electronically using the EasyChair conference management system: https://easychair.org/conferences?conf=acling2025 ========================= ## CONFERENCE ORGANIZERS ## * Prof. Khaled Shaalan, The British University in Dubai, UAE * Prof. Samhaa R. El-Beltagy, Newgiza University, Egypt ## INDEXING, RANKING, AND IMPACT (web sources)## ========================= * Abstracting and indexing: https://www.sciencedirect.com/journal/procedia-computer-science/about/insights#abstracting-and-indexing * Scopus/CiteScore: https://www.scopus.com/sourceid/19700182801 * SJR (scimago): https://www.scimagojr.com/journalsearch.php?q=19700182801&tip=sid * ACLing by Google Citation: https://scholar.google.com/citations?user=jkpMuFMAAAAJ&hl=en * ACLing by DBLP: https://dblp.org/db/conf/acling/index.html ## FURTHER INFORMATION & CONTACT DETAILS ## ========================= * Visit the conference website link https://acling.org/ (will be updated on a regular basis). * For general information, please contact us at taher.ghazal at ieee.org Regards, Khaled ____________________________________________ Prof. Khaled Shaalan Professor of Computer Science & Artificial Intelligence Head of Computer Science Department | PhD Coordinator, Computer Science Faculty of Engineering & IT, The British University in Dubai (BUiD), UAE -------------- next part -------------- An HTML attachment was scrubbed... URL: From rjacobs at ur.rochester.edu Tue Oct 28 10:11:40 2025 From: rjacobs at ur.rochester.edu (Jacobs, Robert) Date: Tue, 28 Oct 2025 14:11:40 +0000 Subject: Connectionists: Assistant Professor position at University of Rochester Message-ID: Tenure-track assistant professor in computational neuroscience and/or cognition The Department of Brain and Cognitive Sciences at the University of Rochester invites applications from outstanding early-career candidates in Computational Neuroscience and Cognition for a tenure-track assistant professorship. This position is part of a new cluster of faculty positions in Mathematics, Physics, Biology, and the Brain and Cognitive Sciences supported by the Simons Foundation. We seek to hire scholars who develop computational theories and models to deepen our understanding of the brain in real-world, complex, or naturalistic contexts, or to understand collective decision-making and communication in groups of individuals. Researchers who develop and test computational models across levels of representations (from the brain to the mind) are particularly welcome to apply. The department?s research in this area utilizes large-scale, high-resolution electrophysiology and neuroimaging of both individuals and groups, state-of-the-art augmented and virtual reality, and a wide range of methods to study behavior from active information seeking in the fovea, to interactive, naturalistic communication and the transmission of complex information across individuals, as well as the joint learning and coordination of group behavior and collective decision-making. Successful candidates are expected to develop a highly competitive research program that establishes collaborations within the department, especially within our cluster of cutting-edge experimentalists studying neural systems and behavior in naturalistic settings. Our department is vibrant and highly interdisciplinary, with strong ties to other departments across engineering, the arts and sciences, and the medical campus (incl. Neuroscience, Neurosurgery, Computer Science, Physics, Biology, Biomedical Engineering, Linguistics, the Eastman School of Music, and the Goergen Institute for Data Science and Artificial Intelligence). The City of Rochester, NY is a diverse, LGBTQ+ friendly, and family-friendly community located on Lake Ontario adjacent to the Finger Lakes region with a metropolitan population of 1+ million. Rochester also boasts a thriving arts and music culture, substantial employment opportunities in various sectors, affordable housing, a rich history of social justice, and easy access to urban, suburban, and rural neighborhoods. Questions concerning this position can be addressed to Prof. Florian Jaeger (fjaeger at ur.rochester.edu), chair of the search committee, or Prof. Dora Biro (dbiro at ur.rochester.edu), chair of the Department of Brain and Cognitive Sciences. For more information about the department, see http://www.bcs.rochester.edu/. The referenced pay range represents the full base range of pay for this job. Individual salaries will be determined within the job?s salary range and established based on market data, experience, and expertise of the individual, and internal equity considerations. Qualifications Applicants should have an outstanding record of research and a commitment to teaching and mentorship at the graduate and undergraduate levels. They should hold a PhD degree (or equivalent) in a relevant domain. Where to apply https://apply.interfolio.com/173951 When to apply While applications after the deadline may be considered, for full consideration, applicants should complete their application before November 10, 2025. Equal Employment Opportunity Statement EOE, including disability/protected veterans The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University?s Mission to Learn, Discover, Heal, Create ? and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Classes). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates for all persons consistent with our values and based on applicable law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Oct 28 13:23:08 2025 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 28 Oct 2025 18:23:08 +0100 Subject: Connectionists: REMINDER: World wide VVTNS series: Sixth season opening lecture, Wednesday, October 29, 2025, at 11:00 am EDT - Andrew Barto In-Reply-To: References: Message-ID: *Important:* The seminar is at 11 am *EDT* Europe moved to Winter Time on Sunday, October 26, 2025 US will move to Winter Time next Sunday, November 2 This week 11 am EDT= 4pm CET Check the time where you are [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the sixth season opening lecture of the online VVTNS series Andrew Barto University of Massachusetts Amherst on the topic of What is So Interesting About Reinforcement Learning? The lecture will be held on zoom on October 29, 2025, at *11:00 am EDT * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *This talk aims to answer these questions along four dimensions. First is history. RL was the basis of AI long before the term AI was introduced in 1956. The first machine learning (ML) systems were based on RL even before digital computers existed. Despite notable early successes of ML based on RL, RL essentially disappeared from ML until relatively recently. A second reason for renewed interest in RL is the clarification of some misunderstandings that have been prevalent in the ML community. A third, and most important, reason for this resurgence is that new, or rediscovered, algorithms and connections to well developed mathematical and engineering methods have been worked out. Finally, a fourth reason for the renewed interest in RL is its strong links to animal reward systems, in particular, to the role that dopamine plays in motivation and learning. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From jncor at dei.uc.pt Tue Oct 28 12:09:51 2025 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Tue, 28 Oct 2025 16:09:51 +0000 Subject: Connectionists: [CFP] The CfP evo* 2026 - The Leading European Event on Bio-Inspired Artificial Intelligence - 8-10 April 2026 Message-ID: Dear Colleague(s), Below you will find the call for papers for evo* 2026. *Extended* Deadline: November 15, 2025 Venue: Toulouse, France Feel free to distribute and thank you for your time. Apologies for the cross-posting. Best regards, Jo?o Correia EvoStar Publicity Chair ---------------------------------------------------------------------- Call for papers for the EvoStar 2026 conference http://www.evostar.org/2026/ Submission Deadline: November 15, 2025 Conference: 8 to 10 April 2026 Venue: Toulouse, France News: ** 5th special joint track on Evolutionary Machine Learning This joint track, evoapps + eurogp, on Evolutionary Machine Learning (EML) will provide a specialised forum for discussion and exchange of information for researchers interested in exploring approaches that combine nature and nurture with the long-term goal of evolving Artificial Intelligence (AI) https://www.evostar.org/2026/eml/ 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 29th European Conference on Genetic Programming http://www.evostar.org/2026/eurogp/ - EvoApplications 29th International Conference on the Applications of Evolutionary Computation http://www.evostar.org/2026/evoapps/ - EvoCOP 26th European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2026/evocop/ - EvoMUSART 15th International Conference (and 19th European event) on Artificial Intelligence in Music, Sound, Art and Design. http://www.evostar.org/2026/evomusart/ *** Important Dates, Venue and Publication *** Submission Deadline: November 15, 2025 Conference: 8 to 10 April 2026 Venue: Toulouse, France 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/2026/ And follow us at: X - https://x.com/EvostarConf Instagram - https://www.instagram.com/evostarconference/ Follow SPECIES at: https://www.linkedin.com/company/species-society/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dan.levenstein at gmail.com Tue Oct 28 12:21:55 2025 From: dan.levenstein at gmail.com (Dan Levenstein) Date: Tue, 28 Oct 2025 12:21:55 -0400 Subject: Connectionists: Postdoctoral Fellowships at Yale's Wu Tsai Institute (Deadline Nov 10) Message-ID: <4C2033EB-0507-435E-A5AE-B7A11D9C59C6@gmail.com> The Wu Tsai Postdoctoral Fellowships are now open to applications. Please share this email with early-career scientists interestedin interdisciplinary research to advance fundamental understanding of cognition. The program offers a generous stipend for up to 3 years, discretionary funds and additional funding opportunities, access to cutting-edge facilities, protected time and programmatic opportunities for professional development, and a welcoming and inclusive community of trainees. International applicants are welcome. Applicants may propose to be co-mentored by Wu Tsai Faculty Members from different disciplines; work with single mentors while transitioning to a new field; or propose self-directed computational or theoretical projects with flexible mentoring arrangements. Candidates are encouraged to reach out to any of the over 180 Wu Tsai Faculty Members . The deadline for applications is November 10. Candidates can find more information, past awardees, and application instructions here: https://wti.yale.edu/initiatives/postdoctoral Feel free to forward this email and encourage scientists who might be interested to apply. For questions, please contact wti at yale.edu . -------------- next part -------------- An HTML attachment was scrubbed... URL: From qi.chen at vuw.ac.nz Tue Oct 28 15:44:12 2025 From: qi.chen at vuw.ac.nz (Qi Chen) Date: Tue, 28 Oct 2025 19:44:12 +0000 Subject: Connectionists: [CFP] EuroGP 2026: Extended Deadline In-Reply-To: References: Message-ID: Dear Colleague(s), Apologies for cross-posting! Below you will find the call for papers for EuroGP 2026. *Extended* Deadline: 15 November 2025 ********************************************************************************* Call for Papers: EuroGP 2026 - the 29th European Conference on Genetic Programming, held as part of EvoStar. 8-10 April 2026, Toulouse, France EuroGP is a CORE Rank B conference. Extended Submission deadline: 15 November 2025 (anytime on Earth) ********************************************************************************* EuroGP is the premier annual conference on Genetic Programming (GP), the oldest and the only meeting worldwide explicitly devoted to this branch of evolutionary computation. It is always a high-quality, enjoyable, friendly event, attracting participants from all continents, and offering excellent opportunities for networking, informal contact, and exchange of ideas with fellow researchers. It will feature a mixture of oral presentations and poster sessions and invited keynote speakers. EvoStar EvoStar is a leading international event devoted to evolutionary computing, comprising four conferences: EuroGP, EvoApplications, EvoCOP, and EvoMUSART. Topics Topics to be covered include, but are not limited to: * Methodological advances: * Algorithms, representations, and operators for GP * Surrogate models and fitness approximation in GP * Explainability and interpretability in GP * GP representations: tree-based, linear, graph-based, grammar-based * Evolutionary design * Multiple populations, coevolution, and modularity in GP * Multi-objective GP * Theoretical developments * Infrastructure and Evaluation Methodologies: * Benchmarking frameworks and reproducibility in GP * Scalable, parallel, and distributed GP systems * GP in embedded and resource-constrained environments * Tools and techniques for visualization and analysis tools of GP systems * Meta-evolution and Self-adaptation: * Self-adaptive and self-configuring GP * AutoML and GP-based pipeline optimization * Meta-learning and evolution of GP parameters and operators * Applications: * GP for scientific discovery and symbolic modeling * GP for continuous control and evolutionary robotics * Real-world applications of GP in medicine, finance, etc. * Evolvable hardware * GP for data privacy, security, and adversarial robustness * Genetic improvement and GP for software engineering * Program synthesis and inductive programming via GP * Hybrid and Unconventional Approaches: * Hybridization of GP with other machine learning methods * Neuroevolution and neural-GP hybrids * Integration of GP with swarm intelligence or other evolutionary paradigms * Unconventional GP paradigms * Open-ended GP systems Submission Details Accepted papers will be published by Springer Nature in the Lecture Notes in Computer Science series. Submissions must be original and not published elsewhere. They will be peer reviewed by at least three members of the program committee. The reviewing process will be double-blind, so please omit information about the authors in the submitted paper. The submission link will be available shortly. The authors of accepted papers will have to improve their papers based on the reviewers? comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work must register for the conference and present the work. The highest quality papers may also be invited to submit extensions for publication in a special issue of a prestigious international journal. For more detail on paper submission, please follow these instructions. Organization Program Chairs: * Luca Manzoni, University of Trieste, Italy * Sylvain Cussat-Blanc, Univeristy of Toulouse, France Publication Chair: * Qi Chen, Victoria University of Wellington, New Zealand For further information please visit https://www.evostar.org/2026/eurogp/. Luca Manzoni and Sylvain Cussat-Blanc EuroGP PC Chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From pmitra3 at gmail.com Wed Oct 29 05:45:06 2025 From: pmitra3 at gmail.com (Prasenjit Mitra) Date: Wed, 29 Oct 2025 11:45:06 +0200 Subject: Connectionists: Postdoc Positions on Applied Machine Learning for Wildlife Informatics at Penn State University Message-ID: *Postdoc Positions on Applied Machine Learning for Wildlife Informatics at Penn State University* The Pennsylvania State University is seeking an outstanding postdoctoral scholar for a transdisciplinary project in applied machine learning for wildlife informatics. The position is available immediately. The researcher will be mentored for a successful transition to a faculty or scientist position in academia or a leading research laboratory like many of our previous postdoctoral fellows. You will be involved in leading and assisting in proposal preparation, research execution, and mentoring students on a project involving the use of AI and machine learning in wildlife conservation. In addition to the wildlife conservation project, the postdoctoral fellow and their faculty mentors may define, identify, and scope other areas of research to pursue. Required skills for all positions include a strong record of technical excellence and achievement as demonstrated through *publications in top-tier international conferences and journals*, and research in relevant discipline in artificial intelligence such as machine learning, natural language processing, deep learning, large language models, pattern recognition, computer vision, movement ecology, tourism development, etc. The applicant must possess strong prior experience in software development and the ability to design and perform experiments to validate research hypotheses. The applicant must have demonstrated strong written communication skills. The candidate must be self-directed and have the ability and willingness to mentor Ph.D. students working in the project. Prior experience in working in an interdisciplinary, team-oriented technical atmosphere is desirable. The position does fully focus on research with no expectation of teaching. However, should the scholar want to teach, arrangements can be made to build teaching experience. The objective of this position is to enhance the researcher?s skills and record for a placement in a leading university or research laboratory at the end of the post-doctoral stint. Education: Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, movement ecology, tourism development, or a related area. Penn State is a premier Research I university in the northeastern United States situated in a university town, State College, that is within three to four hours by car from New York, Washington, D.C., Philadelphia, Cleveland, Pittsburgh, Baltimore, etc. Situated in a valley surrounded by mountains, State College has a low cost of living and small university town charm. More information about the future plans for the project will be provided to interested candidates. Please submit an application consisting of a CV and names of three references by email to *Johnson Kinyua (**jdk450 at psu.edu* *), Bing Pan (bup63 at psu.edu ), and Prasenjit Mitra (prasenjit at cmu.edu ).* Applications will be considered starting immediately and will be accepted on a continuing basis until the position is filled. Penn State is an equal opportunity employer. Virus-free.www.avast.com <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> -------------- next part -------------- An HTML attachment was scrubbed... URL: From patriciaruizvillalobos at hotmail.com Wed Oct 29 06:40:44 2025 From: patriciaruizvillalobos at hotmail.com (Patricia ruiz) Date: Wed, 29 Oct 2025 10:40:44 +0000 Subject: Connectionists: [CFP] Special Session: AI for a Sustainable Future: Transforming Engineering, Mobility, and Smart Cities. 28th-30th April 2026. Crete (Greece) Message-ID: <014BB17A-05AF-4668-A00A-F852B5ABB645@hotmail.com> [Apologies if you receive multiple copies of this message] [cid:clip_image001.jpg] AI for a Sustainable Future: Transforming Engineering, Mobility, and Smart Cities 28th to 30th April, 2026 Chania, Crete, Greece https://ola2026.sciencesconf.org/resource/page/id/3 Dear colleagues, We would like to invite you to the Special Session entitled: AI for a Sustainable Future: Transforming Engineering, Mobility, and Smart Cities that will be held in conjunction with the International Conference on Optimization and Learning (OLA 2026) in Chania (Greece), from 28th to 30th April, 2026. The venue aims at bringing together interdisciplinary research from artificial intelligence and sustainability. Topics of interest include, but are not limited to: ? AI in sustainable transportation ? Intelligent traffic management and emissions reduction ? AI in sustainable urban planning and smart cities ? Sustainable AI: reducing AI?s carbon footprint ? Sustainable AI strategies: reducing carbon footprint ? Green AI: Energy efficient algorithms and architectures ? AI-driven sustainable engineering applications IMPORTANT DATES Submission deadline: 19th December 2025 Notification of acceptance: 23rd January 2026 Full paper submission deadline: 6th March 2026 Accepted full papers will appear in the conference proceeding published by Springer series Communications in Computer and Information Science (tentative). For more information, please visit https://ola2026.sciencesconf.org/ Looking forward to seeing you in Chania! Patricia Ruiz University of Cadiz (Spain) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: cidclip_image001.jpg Type: image/jpeg Size: 104837 bytes Desc: cidclip_image001.jpg URL: From Donald.Adjeroh at mail.wvu.edu Wed Oct 29 02:01:34 2025 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 29 Oct 2025 06:01:34 +0000 Subject: Connectionists: Deadline extended: IEEE BIBM-LncRNA'25: Workshop on Long Non-Coding RNAs In-Reply-To: References: , , , , Message-ID: Apologies if you receive multiple copies ... See our website: BIBM- LncRNA'2025: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2025/ Old paper submission deadline: Oct. 28, 2025 New paper submission deadline: Nov. 3, 2025 -- see below Call for Papers The IEEE BIBM 2025 Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2025 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2024), Dec. 15-18, 2025. Though the BIBM conference will be held in Wuhan, China, the LncRNA workshop will be held in a mixed mode -- both virtual/remote and in-person in Wuhan, China. BIBM- LncRNA'2025: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2025/ IEEE BIBM 2025: https://ieeebibm.org/BIBM2025/ 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 * lncRNAs and circular RNAs * Studying methylation regulating lncRNA functions * Function Prediction for lncRNAs * Deep learning approaches to lncRNA/RNA binding protein prediction * Computational approaches to analyzing lncRNAs * Foundation models for lncRNAs/RNAs * AI models for lncRNAs/RNAs * LncRNAs in the era of Generative AI * Single cell omics and lncRNAs * Spatial omics and lncRNAs * lncRNA 3D secondary structures * lncRNA-protein interactions * lncRNAs 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. 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 was published by the journal 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: Nov. 3, 2025, 11:59:59 PM WST: Due date for full workshop paper submission. Nov 13, 2025: Notification of paper acceptance to authors Nov 23, 2025: Camera-ready of accepted papers Dec 15-18, 2025: Workshops and Conference BIBM-LncRNA'25 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2025/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Wed Oct 29 04:31:22 2025 From: announce at ucy.ac.cy (Announce) Date: Wed, 29 Oct 2025 08:31:22 +0000 Subject: Connectionists: The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): Second Call for Posters and Demos Message-ID: *** Second Call for Posters and Demos *** The Annual ACM Conference on Intelligent User Interfaces (IUI 2026) March 23-26, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://iui.hosting.acm.org/2026/ The ACM Conference on Intelligent User Interfaces (ACM IUI) is the leading annual venue for researchers and practitioners to explore advancements at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). IUI submissions should address HCI challenges using machine intelligence and consider both computational and human- centric aspects. As AI becomes more integrated into everyday technology, understanding its role in meeting human needs is vital for developing effective and responsible systems. This conference fosters collaboration among experts from diverse fields to tackle significant issues in AI and HCI through discussions, workshops, and networking sessions. UI 2026 attracted a record number of submissions for the main conference (561 full paper submissions after an initial submission of 697 abstracts). Posters Posters provide an opportunity for sharing valuable last-minute ideas, eliciting useful feedback on early-stage work and fostering discussions and collaborations among colleagues. We invite submissions relevant to all conference topics. All submissions should convey a scientific result or work in progress that is not yet ready to be published as a full-length research paper at a refereed conference. The page limit for poster papers is 4 pages (references do not count toward the page limit). Submitting a draft poster along with your submission is not required, but is recommended. Accepted poster papers will appear in the companion proceedings of the conference. Each accepted contribution is expected to be presented in person during the poster session. Demos The demonstration track complements the overall program of the conference. Demonstrations show implementations of novel, interesting, and important intelligent user interface concepts or systems. We invite submissions relevant to intelligent user interfaces and which address, but are not limited to, the topics of the conference. All submissions are intended to convey a scientific result or work in progress and should not be advertisements for commercial software packages. The page limit for demo papers is 4 pages (references do not count toward the page limit). Authors further need to submit a video (max. 5 mins) along with their demo paper to showcase their work. Accepted demo papers will be presented as interactive demonstrations at IUI and published in the companion proceedings of the conference. Each accepted contribution is expected to be presented in person during the demo sessions. Important Dates (AoE) ? Submission: December 21, 2025 ? Decision notification: January 26, 2026 ? Camera-ready submission: February 6, 2026 Topics The topics for the Posters and Demos are the same as for the main track. Submission Instructions Papers must be up to 4 pages (references do not count towards the page limit). Demo and poster submissions do not need to be anonymized. Submissions should follow the ACM Master Article Templates in a single-column format. We adopt the ACM TAPS Workflow. Please prepare your submission for review in a single column format, using the latest templates: Word Submission Template, or the LaTeX template using \documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template. Authors are required to include a proper classification for the paper according to the ACM Classification System (CCS). Additional information on how to use it is available at: https://dl.acm.org/ccs . A video (up to 5 mins) is required for demo submissions. The video should showcase the system that will be demonstrated during the conference. Please follow the SIGCHI Technical Requirements and Guidelines for Videos (https://sigchi.org/resources/guides-for-authors/videos/). Please submit your demos and posters electronically to the Precision Conference Submission (PCS) Portal (https://new.precisionconference.com/user/login) by the paper deadlines. In PCS, first click ?Submissions? at the top of the page, from the dropdown menus for Society, Conference, and Track, please select ?SIGCHI?, ?IUI 2026?, and ?IUI 2026 Posters? or ?IUI 2026 Demos?, respectively, and then press ?Go?. Note: If the corresponding author (the individual who submits the paper, not necessarily the first author) is affiliated with a participating institution that has an open access agreement with ACM, the Article Processing Charges (APCs) will be waived for publishing the paper. Details are under ?Publication and Open Access?. Accessibility Authors are asked to make their paper submissions accessible (so that reviewers with vision impairments can access them, for example). The authors of accepted papers will be required to make their final PDFs accessible. Please use the SIGCHI Guide to an Accessible Submission for detailed instructions. If you are submitting a video as supplemental material, please provide captions, as described in Technical Requirements and Guidelines for Videos. Please refer to the Accessibility page of the conference site for further details and guidelines. Usage of Generative AI All submissions must comply with the ACM policy on the usage of GenAI: the April 2023 ACM Policy on Authorship and Frequently Asked Questions. Text generated from a large-scale language model (LLM), such as ChatGPT, must be clearly marked where such tools are used for purposes beyond editing the author?s own text. Authors should include a ?GenAI Usage Disclosure? section, right before the references, to provide full disclosure of all use of GenAI tools in all stages of the research (including the code and data) and the writing. This section, together with the references, will not be counted toward the word limit. While we do not anticipate using tools on a large scale to detect LLM-generated text, we will investigate submissions brought to our attention and desk reject papers where LLM use is not clearly marked. Organisation General Chairs ? Tsvi Kuflik, The University of Haifa, Israel ? Styliani Kleanthous, Open University of Cyprus, Cyprus Local Organising Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Posters and Demos Chairs ? Julia Sheidin, Braude College of Engineering, Israel ? Marko Tkalcic, University of Primorska, Slovenia ? Ming Yin, Purdue University, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Wed Oct 29 06:18:57 2025 From: efipatm at gmail.com (Efi P) Date: Wed, 29 Oct 2025 12:18:57 +0200 Subject: Connectionists: =?utf-8?q?All_you_want_to_know_about_AI=3A_Book_?= =?utf-8?q?=E2=80=9CArtificial_Intelligence_Science_and_Society_Par?= =?utf-8?q?t_A=E2=80=9D_=28Amazon/Kindle=29_treating_ChatGPT=2C_LLM?= =?utf-8?q?s=2C_AGI_and_Generative_AI?= Message-ID: Dear AI enthusiast or AI specialist, this 4-volume book addresses the general public that wants to be informed about and form her/his own opinion on AI. It provides a simplified yet scientifically accurate description of all AI aspects: technology (Part A), relation to human intelligence (Part B), social aspects (Part C) and AI impact on Environment (Part D). No special knowledge is needed to read it. The first edition (October 2022) of this 4-volume book was very prophetic on various AI topics (e.g., on the development of Deep Arts, or the failure of Metaverse). Since then, its Part A has been updated with material on Large Language Models (LLMs), Artificial General Intelligence (AGI) and Generative AI to clarify issues that sprang out of ChatGPT success, primarily on AI technophobia and on the long-term AI prospects. *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: - Will Artificial General Intelligence replace human intelligence? (Part A) - Are the Large Language Models the way forward to reconcile Machine learning and Symbolic AI? (Part A) - 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 do 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 are irrationalism, anti-elitism, and social media disinformation 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 (297 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, Large Language Models and Artificial General Intelligence. *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 *Dr. Ioannis. Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow)* and was influenced by his being principal investigator of 75+ R&D projects on Machine Learning, Digital Media, Computer Vision, and chairing the International AI Doctoral Academy (AIDA). As a well-known AI futurist, in the past 3 years he has published numerous articles and delivered many lectures and interviews in the international media on the future of AI. Quite a few of them were proven to be prophetic. Dr. I. Pitas is initiator and first chair of the International AI Doctoral Academy (AIDA ). He was 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 served as a Visiting Professor at several Universities worldwide. His current interests are in the areas of artificial intelligence, machine learning, computer vision, autonomous systems, intelligent digital media, and human-centred computing. He has (co-)authored 15 books, 45 book chapters and over 950 papers in the above topics. He has 40000+ citations to his work and h-index 93+. He is ranked 319 worldwide and first in Greece in the field of Computer Science (2022). This message is sent only once. I apologize if you receive it through multiple communication channels. Enjoy! Prof. Ioannis. Pitas IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow, Chair of the International AI Doctoral Academy (AIDA ) pitas at csd.auth.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Thu Oct 30 05:23:49 2025 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 30 Oct 2025 10:23:49 +0100 Subject: Connectionists: =?utf-8?q?Join_COMPLEX_NETWORKS_2025_=E2=80=93_Ex?= =?utf-8?q?plore_the_Full_Program_=26_Register_Now?= Message-ID: Dear Colleagues, We are pleased to invite you to participate to *COMPLEX NETWORKS 2025* in *Binghamton, New York, USA*, from *December 9 to 11, 2025*. The *final program* is now available: ? *Program Download:* [ https://drive.google.com/file/d/18s7apg46PBZCvu2YJg7P6IABoqLCWsNm/view?usp=sharing ] ? Also accessible soon on https://complexnetworks.org This year?s conference will feature: ? *Tutorials (December 8):* ? *Yian Yin* (Cornell University): *Toward a Quantitative Understanding of Failure* ? *Brennan Klein* (Northeastern University): *Networks, Shapes, Maps, and More* ? *Keynote Speakers (December 9?11):* ? *Kimberley Glass* (Harvard Medical School): *Network Modeling for Precision Medicine* ? *Mark Newman* (University of Michigan): *Networks and Ranking in Sports, Markets, and Society* ? *Michelle Girvan* (University of Maryland): *Meta-Learning with Reservoir Networks: Forecasting Complex Systems from Limited Data* ? *Luis Bettencourt* (University of Chicago): *The Networks of Cities: From Complex Infrastructure to Human Development* ? *David Stark* (Columbia University): *?This is not a Test!?: Testing After Preparedness* In addition to these highlights, the program includes *three full days of oral, lightning, and poster sessions* covering all aspects of *network science, computational social science, and machine learning on graphs*, along with *networking events* such as the Welcome Reception and Gala Dinner. ? *Register now:* [https://complexnetworks.org/registration/] We look forward to welcoming you in *Binghamton* this December for an inspiring and collaborative edition of COMPLEX NETWORKS. Best regards, *Hocine Cherifi* General Co-Chair ? Complex Networks 2025 ? https://complexnetworks.org Join us at COMPLEX NETWORKS 2025 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science Plos Complex Systems Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Evolutionary Intelligence -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimo.srt at gmail.com Thu Oct 30 06:24:54 2025 From: massimo.srt at gmail.com (Massimo Sartori) Date: Thu, 30 Oct 2025 11:24:54 +0100 Subject: Connectionists: [Jobs] PhD opening: Reinforcement Learning in Neuromuscular Modelling for Control of Musculoskeletal Robots in real-world (University of Twente). Message-ID: As part of a newly funded collaborative project (Swiss National Science Foundation SNSF co-applicant project) between ETH Z?rich's Soft Robotics Lab (Robert Katzschmann, Ronan Hinchet) and University of Twente's NeuBoticsLab (https://bit.ly/NeuBotics), I have a PhD opening: *ReinforcementLearning in NeuroMusculoSKeletal Models for the Real-World Control of Human-inspired Musculoskeletal Robots* *Apply by November 23, 2025*: https://utwentecareers.nl/en/vacancies/2271/phd-opening-reinforcement-learning-in-human-neuromusculoskeletal-models-for-the-control-of-human-inspired-musculoskeletal-robots/ We?re seeking for motivated candidates that are interested in developing Computer Models (MyoSuite + CEINMS-RT) of the composite neuro-musculo-skeletal system that combine detailed musculoskeletal geometries, muscle-tendon models and Neural Control pathways (e.g., CPG-like and reflexive) for the versatile and roboust motor control of musculoskeletal robots (i.e., autonomous and assistive) in the real world. Regards, Massimo --- Massimo Sartori Full Professor and Head of Chair, Neuromuscular Robotics Lab Head, Neubotics Lab University of Twente, TechMed Centre, Robotics Centre Faculty of Engineering Technology Department of Biomechanical Engineering 7500 AE, The Netherlands Personal: https://people.utwente.nl/m.sartori Lab: https://bit.ly/NMLab YouTube: https://bit.ly/NMLTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From Steven.M.Frankland at dartmouth.edu Thu Oct 30 08:47:45 2025 From: Steven.M.Frankland at dartmouth.edu (Steven M. Frankland) Date: Thu, 30 Oct 2025 12:47:45 +0000 Subject: Connectionists: New PhD Positions - Cognitive Science at Dartmouth! Message-ID: The Dartmouth Program in Cognitive Science is excited to welcome applications for prospective PhD students to work jointly with Jonathan Phillips, Steven Frankland and Fred Callaway. Our research groups study the principles and mechanisms that enable us to understand, plan, and act in the world. Some of the questions we plan to investigate are: ? how does the mind compose new thoughts out of familiar pieces? ? what determines which thoughts come to mind and which thoughts don?t? ? why can we hold so few things in mind at once? ? how do we quickly learn to reason about new kinds of problems? ? why do some people worry too much, but others not enough? More generally, if you?re interested in resource-rationality, compositionality, decision making, and/or conceptual representation, you should apply to work with us through Dartmouth?s Psychological and Brain Sciences PhD program (due Dec. 1). We also maintain close ties with Computer Science, Philosophy, and Linguistics departments, which provide additional breadth of resources for Ph.D. candidates. Interested in learning more? Here's more info! Feel free to reach out to any of us if you have additional questions about the PhD program! Steven (steven.m.frankland at dartmouth.edu) Jonathan (jonathan.s.phillips at dartmouth.edu) Fred (fredcallaway at gmail.com) -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernabe at imse-cnm.csic.es Thu Oct 30 09:12:27 2025 From: bernabe at imse-cnm.csic.es (=?UTF-8?Q?Bernab=C3=A9_Linares_Barranco?=) Date: Thu, 30 Oct 2025 14:12:27 +0100 Subject: Connectionists: 2-year PostDoc position AI perception and control for robotics Message-ID: <85f5686a-8d70-437e-ba71-051ea3962606@imse-cnm.csic.es> *2-year PostDoc position in Spain (Barcelona and Sevilla):* The Institute of Informatic and Industrial Robotics in Barcelona (http://www.iri.csic.es) and the Sevilla Microelectronics Institute (http://www.imse-cnm.csic.es) offer a joint MSCA Post-Doctoral 2-year fellowship for conducting cutting-edge AI research focused on exploring Spiking Neural Networks for AI systems in robotics perception and control. More details are available at: http://www2.imse-cnm.csic.es/neuromorphs/data/_uploaded/file/postdoc_IMSE-IIA_2025.pdf Interested candidates please contact: teresa.serrano at csic.es -- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: firma_blb1.png Type: image/png Size: 62523 bytes Desc: not available URL: From doya at oist.jp Thu Oct 30 12:29:40 2025 From: doya at oist.jp (Kenji Doya) Date: Thu, 30 Oct 2025 16:29:40 +0000 Subject: Connectionists: International Conference on Neural Information Processing (ICONIP) 2025, Nov. 20-24 at OIST Message-ID: <92EDA6A8-CE43-4C52-B6FD-D83AA7D40A55@oist.jp> The 32nd International Conference on Neural Information Processing (ICONIP) 2025 is starting on November 20th at Okinawa Institute of Science and Technology (OIST). Here is an update: ? The main conference is in-person, single-track format. Registration includes online access to >400 papers in Spring LNCS and CCIS. ? Tutorials can be joined in-person or online. Registration allows access to recordings of all tutorials. ? Registrations for the banquet, childcare, shuttle bus, etc. will close on October 31st (AoE). ? Open Forum on AI Agents and Human Society is organized for dialogue with local citizens and students. Please visit the web https://iconip2025.apnns.org and register. We hope to see many of you in beautiful Okinawa. ***** The 32nd International Conference on Neural Information Processing (ICONIP) 2025 Date: November 20 to 24, 2025 Venue: Okinawa Institute of Science and Technology (OIST): https://www.oist.jp Web site: https://iconip2025.apnns.org Honorary Chairs: Shun-ichi Amari, Kunihiko Fukushima Keynote Lectures: Jun Tani (OIST): Development of Higher Cognitive Mechanisms: Insights From Neurorobotics Yew Soon Ong (NTU): Closing the gap: From Digital AI to Physically grounded intelligence Asako Kanezaki (IST): Machine Learning for Robots: From Perception to Action Tutorials: Taiji Suzuki (U Tokyo): Mathematical Theories of Deep Foundation Models Takuya Isomura (RIKEN): Free-energy Principle for AI Researchers and Neuroscientists Saori Tanaka (ATR, NAIST), Okito Yamashita (ATR, RIKEN), Yu Takagi (NIT): AI for Human Neuroscience Research Maryam Doborjeh, Nikola Kasabov (AUT): Improved Explainability with Spiking Neural Networks Yoshimasa Tawatsuji, Hiroshi Yamakawa, Yudai Suzuki (U Tokyo): Methodology for Designing Brain-Like AI Software Special Sessions: Sustainable Smart Villages ? Harnessing Edge AI and TinyML for Low-Resource Communities Generative AI and Deep Learning for Advancing Affective Human-Robot Interaction Reliable, Robust and Secure Machine Learning Algorithms and 5 more Workshops: 18th International Workshop on Artificial Intelligence and Cybersecurity (AICS 2025) Quantifying and Simulating Multi-Neuromodulatory Dynamics in the Biological Brain and 5 more Open Forum: Society of Humans and AI Agents (in Japanese with English transcript) Yutaro Yamada (Sakana AI) Mizuki Oka (Chiba Tech, Artificial Life Institue) and other panelists General Chairs: Kenji Doya, Maryam Doborjeh Program Chairs: Tadahiro Taniguchi, Andrew Chi Sing Leung Inquiry: iconip2025 at apnns.org ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://www.oist.jp/ncu -------------- next part -------------- An HTML attachment was scrubbed... URL: From shakeelzmail608 at gmail.com Thu Oct 30 15:14:26 2025 From: shakeelzmail608 at gmail.com (Shakeel Ahmad) Date: Thu, 30 Oct 2025 20:14:26 +0100 Subject: Connectionists: Title : PhD Position: Multimodal Detection of Stuttering Disfluencies Message-ID: *1. Introduction* Stuttering, a fluency disorder affecting millions of individuals, is characterized by stuttering-like disfluencies (blocks, prolongations, repetitions) linked to dysfunctions in speech motor control. While its automatic detection has already been explored using audio-based models, current systems remain limited by low robustness, difficulty in identifying certain disfluencies such as silent blocks, and reliance on scarce data. This PhD project proposes a multimodal approach (audio, video, text) to enhance the accuracy and robustness of disfluency detection, leveraging an audiovisual corpus of French-speaking individuals who stutter. The analysis will rely on modality-specific encoding techniques, followed by a strategic fusion of their representations for final classification. *2. Aims* The aim of this PhD is to design, develop, and evaluate a multimodal deep learning approach for the automatic detection of stuttering-like disfluencies in French, by combining audio, video, and textual modalities. The work will be based on an annotated audiovisual corpus of French-speaking people who stutter, with particular focus on disfluencies that are difficult to detect through audio alone, such as silent blocks, and on robustness to individual variability. The doctoral candidate?s work will include the following tasks: - *Audio encoding*: Implement and adapt Stutternet (Sheikh, S. A., Sahidullah, M., Hirsch, F., & Ouni, S. ? 2021 ? *Stutternet: Stuttering detection using time delay neural network*, in EUSIPCO) to extract acoustic features relevant to disfluency detection by capturing temporal dependencies. - *Video encoding*: Develop and train vision models (e.g., C3D or Transformers) to analyze video sequences for visual cues of stuttering (facial tension, blinking, atypical movements). The extraction of facial landmarks (with OpenFace or MediaPipe) will also be explored as a complementary or alternative source of features. - *Text encoding*: Generate automatic transcriptions (via Whisper) and encode them using pre-trained language models (BERT, RoBERTa) to extract linguistic context and identify textual patterns characteristic of disfluencies. - *Multimodal fusion*: Implement and compare several strategies to fuse the representations from the three modalities, such as concatenation, adaptive attention mechanisms, or other approaches leveraging data complementarity. - *Classification and evaluation*: Develop a classifier operating on the fused representation to predict the presence or absence of stuttering within a given time window. Evaluation will rely on standard metrics (precision, recall, F1-score, AUC), and results will be compared to manual expert annotations. Qualitative analyses will also be conducted to interpret model errors and refine the approach. Beyond detection, this PhD aims to contribute methodologically to the field of multimodal fusion applied to pathological speech, with the potential impact in clinical contexts. *T*he PhD will be mainly carried out at LORIA/INRIA in Nancy, France, with occasional short stays (from one week to one month) at Parxiling in Montpellier, France. *3. Required Skills* The candidate should hold a Master?s degree in computer science, have strong skills in machine learning and deep learning, and be proficient in Python and frameworks such as PyTorch or TensorFlow. An interest in signal processing (audio/video) and ideally in NLP is expected. Autonomy, rigor, critical thinking, and analytical abilities are essential, along with strong communication skills to work in a multidisciplinary environment. An interest in phonetics, linguistics, and speech disorders?particularly stuttering?would be a plus. *To apply:* please send me (shakeelzmail608 at gmail.com, slim.ouni at loria.fr ) : your CV, transcripts from your previous years of study, a motivation letter, and your Master?s thesis manuscript. -- Kind Regards, Dr. Shakeel A. Sheikh Research Scientist Novartis AG -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PhDPosition.pdf Type: application/pdf Size: 185661 bytes Desc: not available URL: From naotsugu.tsuchiya at monash.edu Thu Oct 30 19:13:12 2025 From: naotsugu.tsuchiya at monash.edu (Nao Tsuchiya) Date: Fri, 31 Oct 2025 10:13:12 +1100 Subject: Connectionists: YouTube videos for the 2025 summer school for Qualia Structure & Integrated Information Theory Message-ID: Dear all, (who contributed to our summer school projects in the past!) We are starting to upload 2025 Qualia Structure IIT summer school lecture videos in this Youtube Channel https://www.youtube.com/watch?v=cwPGZ1CacVU&list=PLEP8weJRxEPbn_D22O-RmWIZbxOPDO-Vu PLEASE spread the words to your local networks (email list, social media, etc). It would be really great if we can reach STUDENTS (from high school to PhD), early career research or more. (Nowadays, it's very difficult to reach the relevant audience!) We are particularly interested in reaching the younger generation, who might be interested in joining the future summer school (we will organize it again, possibly in 2026 Sep or 2027 Feb). For those who have not been exposed to the basic and interdisciplinary consciousness research, Day 1 talk by Christof Koch will be a great introduction. For those who are interested in Integrated Information Theory, the gentle introduction by Matteo Grasso will be particularly informative. Regards Nao -- -- Professor Nao (Naotsugu) Tsuchiya, PhD School of Psychological Sciences Turner Institute for Brain and Mental Health Monash University 770 Blackburn Monash Biomedical Imaging facility, Clayton, VIC 3168 Australia Laboratory Head, Laboratory of Qualia Structure, ATR Computational Neuroscience Laboratories, 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan. W: homepage : Tw: @conscious_tlab @naotsuchiya Blsk: @qualiastructure.bsky.social @naotsuchiya YouTube : neural basis of consciousness ORCID LinkedIn -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Fri Oct 31 08:58:09 2025 From: dhansel0 at gmail.com (David Hansel) Date: Fri, 31 Oct 2025 13:58:09 +0100 Subject: Connectionists: The recording of the VVTNS sixth season opening talk (Andrew Barto, October 29, 2025) is now available online In-Reply-To: References: Message-ID: [image: VVTNS.png] > > > https://www.wwtns.online > > - on twitter: wwtns at TheoreticalWide - on Youtube > The VVTNS sixth season opening talk delivered on October 29, 2025 by Andrew Barto University of Massachusetts, Amherst on the topic What is So Interesting About Reinforcement Learning? is now available https://www.wwtns.online/past-seminars-2025-2026 *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* April, 13, 2022 ? ? ? ? ? ? ? ? --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: