From giovanni.stanco at unina.it Mon Dec 1 05:32:02 2025 From: giovanni.stanco at unina.it (GIOVANNI STANCO) Date: Mon, 1 Dec 2025 10:32:02 +0000 Subject: Connectionists: CfP - Elsevier COMCOM - Special Issue on Intelligence and Service Orchestration in Next-Generation Mobile Networks In-Reply-To: References: Message-ID: ================================================================================ CALL FOR PAPERS Elsevier Computer Communications Special Issue ?Intelligence and Service Orchestration in Next-Generation Mobile Networks? https://www.sciencedirect.com/special-issue/327227/intelligence-and-service-orchestration-in-next-generation-mobile-networks ================================================================================ Mobile communication and computing infrastructures are undergoing a profound transformation, moving toward highly dynamic, service-centric ecosystems. Fundamental to this evolution is a novel paradigm for the infrastructure and service management for 5G-and-beyond networks. Indeed, the architectural paradigm of 5G is shifting toward Open Radio Access Network (RAN), which introduces RAN Intelligent Controllers (RICs) for network overseeing and reconfiguring through Artificial Intelligence (AI) applications able to enhance the overall performance. The shift from monolithic components to virtualized functions through Network Function Virtualization (NFV) and the adoption of Software Defined Networking (SDN) allow the deployment of innovative solutions that demand flexible orchestration methods. In this context, Service Management and Orchestration (SMO) and Network and Service Orchestration (NSO) play a crucial role by enabling real-time automation and optimization across highly dynamic and heterogeneous network environments, whilst integrating radio, transport, and core domains under a single control plane. These solutions are apt to tackle key challenges including service provisioning, resource allocation, power consumption, and quality of service. Central to this scenario is the role of AI, which enables closed-loop network automation and control, predictive management, automated fault detection, and intent-based service delivery. As such, network intelligence is essential for resilient, scalable, and adaptive orchestration techniques capable of meeting the stringent latency, reliability, and performance requirements of future mobile networks. This Special Issue aims to collect innovations proposed by the research community in the field of Intelligence and Service Orchestration in next-gen mobile networks. These topics and challenges have recently been investigated by researchers, telco stakeholders, government agencies, and international organizations (e.g. NextGenerationEU, CAMARA). Topics of interest include, but are not limited to: * Management and orchestration architectures and techniques for next-gen networks * Automation, coordination, management and optimization of network resources and services * Placement and resource allocation for VNFs * Resource monitoring and service analytics * Orchestration solutions for control plane, core, and RAN * Orchestration in Transport and Multi-Domain Networks * Enabling technologies for network orchestration * AI-based network orchestration * Closed-loop automation engines in NSO * Zero-Touch and intent-driven Open RAN orchestration, optimization, control, and management * QoS in network orchestration * NSO for sustainability * Resilience, scalability, and adaptability of next-gen networks * Industry-supported efforts for network optimization * Integrated Sensing and Communications * Privacy in orchestration frameworks * Energy-aware and Sustainable Network Management * Testbeds, emulators and benchmarking for orchestration solutions ***Manuscript submission information*** The journal's submission platform (Editorial Manager?) will be open for submissions to this Special Issue from October 26, 2025. Please refer to the Guide for Authors to prepare your manuscript and select the article type of ?VSI: Intelligent Orchestration in Next-Generation Networks? when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: https://www.sciencedirect.com/journal/computer-communications The impact of SI contributions should be clearly demonstrated in the context of the theme of the special issue. Papers that do not directly address this theme are considered out of scope and are subject to immediate rejection. ***Timeline*** Submission Open Date 26/10/2025 Final Manuscript Submission Deadline 28/02/2026 Editorial Acceptance Deadline 15/09/2026 ***Guest editors*** Prof. Abderrahim Benslimane University of Avignon, France Email: abderrahim.benslimane at univ-avignon.fr Prof. Cristiano Bonato Both University of Vale do Rio dos Sinos (UNISINOS), Porto Alegre, RS, Brazil Email: cbboth at unisinos.br Prof. Giang T. Nguyen Dresden University of Technology, Germany Email: giang.nguyen at tu-dresden.de Prof. Giovanni Stanco University of Naples Federico II, Italy Email: giovanni.stanco at unina.it Prof. Stefania Zinno University of Naples Federico II, Italy Email: stefania.zinno at unina.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Mon Dec 1 08:13:29 2025 From: announce at ucy.ac.cy (Announce) Date: Mon, 1 Dec 2025 13:13:29 +0000 Subject: Connectionists: International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026): Last Mile for Research Papers Submission (1st Round) Message-ID: *** Last Mile for Research Papers Submission (1st Round) *** International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026) 29 September - 2 October 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://conf.researchr.org/home/variability-2026 (*** Submission Deadline: 11 December, 2025 (extended) ***) 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 Submission Guidelines Paper Types We invite the following types of submissions: ? Full Papers (up to 18 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. Best Paper Awards Springer will sponsor the awards for bet papers with an overall amount of ?1000. 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 (extended) ? 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 ? Leopoldo 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 engelken at illinois.edu Mon Dec 1 17:48:39 2025 From: engelken at illinois.edu (Engelken, Rainer) Date: Mon, 1 Dec 2025 22:48:39 +0000 Subject: Connectionists: PhD positions in theoretical neuroscience, dynamical systems, and machine learning at UIUC (ECE / CS) Message-ID: Dear colleagues, I recently started a new lab in the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign, working at the intersection of theoretical neuroscience, dynamical systems theory, and machine learning. I am recruiting one to three fully funded PhD students for Fall 2026, with admission through either ECE or the Siebel School of Computing and Data Science (CS). Our research uses dynamical systems theory to understand the mechanisms and principles of learning and dynamics in neural circuits, bridging biological and artificial systems. We combine mathematical analysis with large-scale simulations to connect neuroscience, physics, and AI. PhD project directions include: 1. Learning dynamics and mechanistic interpretability. Understanding how brains and neural networks learn over time: how synapses change, how activity patterns evolve, and how useful internal representations emerge, with an eye toward opening the black box of both biological and artificial systems ([1-2]). 2. Neural dynamics, chaos, and computation. Exploring how network structure and inputs shape complex activity patterns, including chaotic regimes, and how these patterns can be harnessed for computation in both brain-inspired and artificial networks ([3-4]). 3. Training algorithms for spiking networks. Developing new ways to train spiking neural networks so that they are both efficient and easy to optimize, building on ideas like Gradient Flossing and fast event-based simulation methods such as SparseProp ([5-6]). I welcome applicants from quantitative backgrounds like physics, mathematics, computer science, or engineering, who want to apply quantitative skills to neuroscience questions. Comfort with mathematics and programming is required; you should enjoy thinking with equations and code. I value reliable, self-driven students who enjoy taking projects from idea to finished work. The lab aims for a supportive, collaborative environment that is intellectually intense and kind. We believe great science comes from working together, and we support diversity in backgrounds and ideas while prioritizing well-being and deep curiosity about neural computation. Positions are fully funded with access to exceptional computing resources through the National Center for Supercomputing Applications (NCSA). The lab is part of UIUC's Neuroinformatics cluster with ties to the Beckman Institute and Coordinated Science Laboratory. Co-advising with experimental groups is possible. For Fall 2026 entry: ? ECE : priority deadline December 15, 2025; final deadline January 15, 2026. ? CS: deadline December 15, 2025. You may apply to both ECE and CS. In your application, clearly indicate Prof. Rainer Engelken in the "faculty of interest" field and in your Statement of Purpose. Before or after applying, you are welcome to email me with a CV, transcript, and a short note about your background and interests if you think this opening is a good fit. Learn more: https://rainerengelken.github.io/ or https://ece.illinois.edu/about/directory/faculty/engelken If you have strong candidates, please forward this email. Students can also reach out to me directly at engelken at illinois.edu Best regards, Rainer Engelken Assistant Professor The Grainger College of Engineering Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign P.S. Students reading this directly: feel free to email me with questions. I'm especially interested in candidates with strong math/physics training looking to work on neural dynamics and learning. References [1] Engelken R., Ingrosso A., Khajeh R., Goedeke S., Abbott L. F. Input correlations impede suppression of chaos and learning in balanced firing-rate networks. PLOS Computational Biology 18(12):e1010590, 2022. https://doi.org/10.1371/journal.pcbi.1010590 [2] Engelken R., Goedeke S. A time-resolved theory of information encoding in recurrent neural networks. NeurIPS, 2022. URL: https://neurips.cc/virtual/2022/poster/53542 [3] Engelken R., Wolf F., Abbott L. F. Lyapunov spectra of chaotic recurrent neural networks. Phys. Rev. Research 5:043044, 2023. https://doi.org/10.1103/PhysRevResearch.5.043044 [4] Engelken R., Monteforte M., Wolf F. Sparse chaos in cortical circuits. arXiv:2412.21188, 2024. https://doi.org/10.48550/arXiv.2412.21188 [5] Engelken R. Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians. NeurIPS, 2023. URL: https://neurips.cc/virtual/2023/poster/70698 [6] Engelken R. SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks. NeurIPS, 2023. URL: https://neurips.cc/virtual/2023/poster/69919 -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcella.cornia at unimore.it Tue Dec 2 02:35:00 2025 From: marcella.cornia at unimore.it (Marcella Cornia) Date: Tue, 2 Dec 2025 08:35:00 +0100 Subject: Connectionists: [CFP] IRCDL 2026 - Deadline Extended to December 12, 2025 Message-ID: ******************************** Call for Papers IRCDL 2026 22nd Conference on Information and Research Science Connecting to Digital and Library Science Deadline Extended: December 12, 2025 (11:59 p.m. AoE) 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 December 12, 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 announce at ucy.ac.cy Tue Dec 2 04:18:46 2025 From: announce at ucy.ac.cy (Announce) Date: Tue, 2 Dec 2025 09:18:46 +0000 Subject: Connectionists: The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): Last Call for Doctoral Consortium Message-ID: <5DF03YM-KLB2-4UMA-EAA5-5CKNQ6WFEI@ucy.ac.cy> *** Last Call for Doctoral Consortium *** 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). The IUI 2026 Doctoral Consortium (DC) provides students an opportunity to present their research and receive feedback from a panel of mentors comprising senior researchers in the field. We invite students who want to benefit from the guidance given by the experienced mentors for planning the future steps in their research project. The ideal participant is a doctoral student about two years from finishing their Ph.D. However, we will also consider advanced Master students and junior Ph.D students provided their research plan is sufficiently developed to benefit from the discussion at the DC. The IUI Doctoral Consortium will provide students with an opportunity to: ? present and discuss the status of their research with experienced scholars in a supportive, formative, and yet critical environment; ? explore and further develop their research ideas through constructive feedback provided by the mentors and other DC students; ? network and build collaborations with other members of the community; ? discuss various professional aspects and career opportunities. Submission and Participation Submissions will be reviewed and selected by the DC committee and DC mentors. DC candidates should have developed a clear topic and research approach and have made some progress, but are not too far along in their research so that they can still reshape their research topic or approach. The final version of accepted Doctoral Consortium submissions will be included in the IUI companion proceedings published in the ACM Digital Library. DC participants are expected to attend in person the Doctoral Consortium workshop that will take place as a separate session during the conference (date to be announced). DC participants will also have the opportunity to present their research in the poster session during the main program. Complimentary/reduced conference registration will be available for DC participants under the precondition that they agree to assist as student volunteers in the organization of the conference. They will also be given priority when applying for the student travel awards (for details, see the Travel Funding page on the conference website). Submission Instructions If you are unsure about eligibility or submission requirements, please do not hesitate to email us at dc2026 at iui.acm.org! To apply for the Doctoral Consortium, two steps are required: ? Please submit a single PDF containing your technical submission (for details see below) via PCS by December 17, 2025. ? In addition, your doctoral or thesis advisor should send a separate, brief letter of recommendation to the DC chairs at dc2026 at iui.acm.org by December 17, 2025. For the technical submission, please upload a single PDF containing the following four items to https://new.precisionconference.com/~sigchi . 1. Cover Letter (1 page max): Please include your full name, contact details, affiliation, web page, expected graduation date and target degree, the name of your thesis advisor, gender (optional), home country (optional), and whether you are a member of an underrepresented minority group (optional). 2. DC Submission (4 pages max including references): A document describing your thesis/dissertation topic and research plan and your progress thus far. Key points the submission should include: ? motivation for your dissertation research ? goal and research questions ? related work that frames your research ? methods/approach to reach the goal ? results, if any ? next steps for your research 3. Questions to mentors and co-students (1 page max): List the main questions and discussion points regarding your thesis/dissertation topic for which you expect to receive feedback from the Doctoral Consortium mentors/ participants. 4. Your CV (3 pages max): Provide an academic curriculum vitae (CV) document. How to Format and Submit 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. All materials must be submitted electronically to PCS 2.0 https://new.precisionconference.com/~sigchi by the Doctoral Consortium deadline. In PCS 2.0, first click "Submissions" at the top of the page, from the dropdown menus for society, conference, and track select "SIGCHI", "IUI 2026" and "IUI 2026 DC", respectively, and press "Go". Notifications and Possible SIGCHI Funding Acceptance notifications will be sent by January 6, 2026. Note that SIGCHI offers travel funding via the Gary Marsden Travel Awards. The application deadline for this is Jan 9th. More information can be find at https://iui.acm.org/2026/travel-funding/ . Important Dates ? Paper Submission: December 17, 2025 ? Acceptance Notification: January 6, 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 Doctoral Consortium Chairs ? Bart Knijnenburg, Clemson University, USA ? Osnat (Ossi) Mokryn, University of Haifa, Israel ? 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The three-day Symposium includes invited speakers, presentations of technical papers, and special topic sessions. REGISTRATION: Early Registration is now open. The Bahia Mar Fort Lauderdale Beach hotel special rates are valid only until Sunday, December 7, 2025, at 5pm, or until the block is sold out. For registration, please visit https://epay.fau.edu/C20081_ustores/web/store_main.jsp?STOREID=217 hosted at the Florida Atlantic University. For information regarding the hotel accommodation please have a look at https://isaim2026.cs.ou.edu/venue.html. KEYNOTE SPEAKERS: o Ariel Felner (Ben Gurion University) -Title: The Mathematical Foundations of Bidirectional Heuristic Search o Sergei Gukov (California Institute of Technology) -Title: AI and AC: the Andrews-Curtis conjecture o Jeff Jaffe (Former CEO of the World Wide Web Consortium) -Title: Future Directions for Math and AI: in Conversation with Martin Golumbic o Xingquan Zhu (Florida Atlantic University) -Title: Scaling Heterogeneous Network Intelligence SPECIAL TOPIC INVITED SESSIONS: o Cooperation, Competition, and Complexity in AI Planning and Learning -Organized by Alan Kuhnle and Guni Sharon (Both at Texas A&M University) o Data-Driven Decisions: Applied ML and Optimization -Organized by Munevver Subasi, Ersoy Subasi, and Xianqi Li (All three at Florida Institute of Technology) o AI in Group Theory -Organized by Elena Bunina (Bar Ilan University) and Alexei Miasnikov (Stevens Institute of Technology) o Math and AI -Organized by Martin Charles Golumbic (University of Haifa) and Frederick Hoffman (Florida Atlantic University) 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 Joerg Rothe, Heinrich-Heine-University Dusseldorf o Local Organizer: Maria Provost, Florida Atlantic University o Publications & Publicity Chair: Dimitrios I. Diochnos, University of Oklahoma Send inquiries and requests to . Visit https://isaim2026.cs.ou.edu/. Join isaim at googlegroups.com to receive announcements related to ISAIM. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ahmed.imprs at gmail.com Tue Dec 2 08:10:28 2025 From: ahmed.imprs at gmail.com (Ahmed El Hady) Date: Tue, 2 Dec 2025 14:10:28 +0100 Subject: Connectionists: Konstanz School of Collective Behavior 2026 ( Deadline: March 15th, 2026) Message-ID: *Konstanz School of Collective Behaviour 2026* *Konstanz, Germany * *20th?July 2026 ? 7th August 2026 *** *Deadline to apply: March 15th, 2026* The Konstanz School of Collective Behaviour (KSCB) will take place between 20th?July ? 7th August 2026 ?at the Cluster of Excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz . Konstanz ?is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over three weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviours across a variety of species from cells, worms, drosophila, fish to non ? human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behaviour will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty and tutors. The Konstanz School of Collective Behaviour is intended for graduate students, doctoral researchers, and early postdoctoral researchers. We consider applicants with strong quantitative background including but not limited to physics, computer science, mathematics and engineering. Applicants with biological and experimental background will be considered if they demonstrate in their application extensive quantitative and mathematical background as the focus of the school is quantitative study of collective behaviours. Accommodation will be provided and paid by the organizers. A limited number of travel support will be provided and a registration fee will be due (500 Euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. The submission of applications for the fourth Konstanz School of Collective Behaviour is currently open until March 15, 2026. We will inform the applicants during the month of April whether their application was successful For further information about the school and the application procedure , visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ _ *KSCB 2026 faculty : * ?Anastasia Bizyaeva ( Cornell University, USA) ?Iain Couzin ( University of Konstanz / Max Planck Institute of Animal Behavior) ?Einat Couzin-fuchs ( University of Konstanz ) ?David Garcia ( University of Konstanz ) ?Dan Gorbonos ( Holon Institute of Technology, Israel and Max Planck Institute of Animal Behavior) ?Stefan Krapitscka ( University of Konstanz ) ?Zachary Kilpatrick ( University of Colorado Boulder, USA) ?Liang Li ( Max Planck Institute of Animal Behavior) ?Yonatan Loewenstein ( Hebrew University of Jerusalem, Israel) ?Ran Nathan ( Hebrew University of Jerusalem, Israel ) ?Mor Nitzan ( Hebrew University of Jerusalem, Israel) ?Britta Renner ( University of Konstanz ) ?Allyson Sgro ( Janelia Farm Research Campus, Virginia, USA) ?Joshua Shaevitz ( Princeton University, USA) ?Ariana Strandburg-Peshkin ( Max Planck Institute of Animal Behavior) ?Katrin Vogt ( University of Konstanz ) *In case you have any questions, please contact: **ahmed.el-hady at uni-konstanz.de ** * All the best regards, Ahmed El Hady On behalf of the KSCB organizational committee Dr. Ahmed El Hady Principal Investigator Cluster for Advanced Study of Collective Behavior, University of Konstanz Max Planck Institute of Animal Behavior Universit?tsstra?e 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742 -------------- next part -------------- An HTML attachment was scrubbed... URL: From el-ghazali.talbi at univ-lille.fr Tue Dec 2 11:22:13 2025 From: el-ghazali.talbi at univ-lille.fr (El-Ghazali Talbi) Date: Tue, 2 Dec 2025 17:22:13 +0100 Subject: Connectionists: CFP OLA'2026 Int. Conf. Optimization & Learning @Creta (Greece) Message-ID: Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** ? ? ? ? ? ? ? ? ? ? ? ? ? OLA'2026 ? ? ? ? ? International Conference on Optimization and Learning ? ? ? ? ? ? ? ? ? ? ? ? ? 28-30 April 2026 ? ? ? ? ? ? ? ? ? ? ? ? ?Chania, Crete, Greece ? ? ? ? ? ? ? ? http://ola2026.sciencesconf.org/ ? ? ? ? ? ? ? ? ? ? SCOPUS Springer Proceedings **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and/or machine learning methods and their applications. The conference OLA'2026 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2026 welcomes presentations that cover any aspects of optimization and/or machine learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: -? ? ? ?S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages -? ? ? ?S2: Original research contributions of a maximum of 12 pages -? ? S3: High-quality manuscripts that have recently, within the last year, been submitted or accepted for journal publication Important dates: =============== Paper submission deadline extension? ? Dec 19, 2025 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. Proceedings will be available at the conference. -- *********************************************************************** OLA'2026 10th International Conference on Optimization and Learning (SCOPUS, Springer) April 28-30, 2026, Creta, Greece, https://ola2026.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS From marcella.cornia at unimore.it Tue Dec 2 02:35:00 2025 From: marcella.cornia at unimore.it (Marcella Cornia) Date: Tue, 2 Dec 2025 08:35:00 +0100 Subject: Connectionists: [CFP] IRCDL 2026 - Deadline Extended to December 12, 2025 Message-ID: ******************************** Call for Papers IRCDL 2026 22nd Conference on Information and Research Science Connecting to Digital and Library Science Deadline Extended: December 12, 2025 (11:59 p.m. AoE) 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 December 12, 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 dhansel0 at gmail.com Tue Dec 2 17:49:14 2025 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 2 Dec 2025 14:49:14 -0800 Subject: Connectionists: REMINDER: World wide VVTNS series (6th season): Wednesday, December 3, 2025, at 11:00 am ET - Anna Shapiro | University of Pennsylvania In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture Anna Schapiro University of Pennsylvania on the topic of Learning representations of specifics and generalities over time The lecture will be held on zoom on December 3, 2025, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *There is a fundamental tension between storing discrete traces of individual experiences, which allows recall of particular moments in our past without interference, and extracting regularities across these experiences, which supports generalization and prediction in similar situations in the future. One influential proposal for how the brain resolves this tension is that it separates the processes anatomically into Complementary Learning Systems, with the hippocampus rapidly encoding individual episodes and the neocortex slowly extracting regularities over days, months, and years. But this does not explain our ability to learn and generalize from new regularities in our environment quickly, often within minutes. We have put forward a neural network model of the hippocampus that suggests that the hippocampus itself may contain complementary learning systems, with one pathway specializing in the rapid learning of regularities and a separate pathway handling the region?s classic episodic memory functions. This proposal has broad implications for how we rapidly learn novel information of specific and generalized types, which we test across statistical learning, inference, and category learning paradigms. We also explore how this system interacts with slower-learning neocortical memory systems, with empirical and modeling investigations into how hippocampal replay shapes neocortical representations during sleep. Together, the work helps us understand how structured information in our environment is initially encoded and how it then transforms over time. *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... 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Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From serafeim.perdikis at essex.ac.uk Tue Dec 2 15:41:13 2025 From: serafeim.perdikis at essex.ac.uk (Perdikis, Serafeim) Date: Tue, 2 Dec 2025 20:41:13 +0000 Subject: Connectionists: Essex BCI-NE webinar: Investigating brain interactions: a dual path to understanding and improving BCIs by Dr Marie-Constance Corsi Message-ID: [cid:ba67120e-9334-4781-9504-a3bede5d81f0] https://www.linkedin.com/company/essex-bcine-lab/ The Essex BCI-NE Lab invites you to join our next monthly webinar: Investigating brain interactions: a dual path to understanding and improving BCIs Delivered by Dr Marie-Constance Corsi (NERV Lab, INRIA Paris, Paris Brain Institute) The webinar will take place over Zoom on Wednesday, 17th December 2025, at 2pm UK time RSVP: https://www.linkedin.com/events/7401719943039422464/ Abstract: Despite promising technological advancements, Brain-Computer Interfaces (BCIs) still face challenges due to inter- and intra-subject variabilities in the ability to control such systems. Moreover, the neural mechanisms underlying BCI performance and training remain poorly understood. In this talk, I will present our recent findings on the use of brain interactions in BCIs, and in particular, how this enriched information can be used to both understand and improve BCIs. Speaker Biography: Dr Marie-Constance Corsi is an INRIA research scientist at Paris Brain Institute in the NERV Lab. Her research currently focuses on the development of tools to address the ?Brain-Computer Interface (BCI) inefficiency? issue, reflected by a non-negligible portion of users who cannot control the device even after extensive training. She essentially considers two main approaches: the search for neurophysiological markers of BCI training and the integration of multimodal data to enrich the information provided to the classifier. In 2025, she received the Early Career Award from the International BCI Society. She has previously served as secretary general of the French academic association promoting the advances in BCI, called CORTICO, and as co-chair of the Postdocs and Students Committee of the BCI Society. 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: image.png Type: image/png Size: 237153 bytes Desc: image.png URL: From efipatm at gmail.com Wed Dec 3 05:04:22 2025 From: efipatm at gmail.com (Efi P) Date: Wed, 3 Dec 2025 12:04:22 +0200 Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Dr. Long Pham (University College Cork): "Leveraging the AI-on-Demand Platform for AI Research: Opportunities for Postgraduates", December 9, 2025 - 17:00 CET. Message-ID: Dear AI scientist/engineer/student/enthusiast, Dr. Long Pham (University College Cork) will deliver the e ? lecture: "*Leveraging the AI-on-Demand Platform for AI Research: Opportunities for Postgraduates* ": *Abstract*: This lecture presents a comprehensive examination of the AI-on-Demand Platform (AIoD) and its capabilities for supporting postgraduate research in artificial intelligence. Drawing upon insights from AIoD's recent presence at the 27th European Conference on Artificial Intelligence (ECAI2025, October 25-30, 2025), this session will explain how postgraduate students can strategically leverage the platform's resources to advance their research objectives. The AIoD platform provides registered users with open access to an extensive repository of AI assets, including curated datasets, state-of-the-art models, development tools, and collaborative services. The lecture will explore how these resources can be integrated throughout the research lifecycle, from data acquisition and exploratory analysis to model development and validation, thereby accelerating research timelines and enhancing methodological rigour. Particular attention will be devoted to AIoD's role as a node for knowledge exchange and professional networking within the European AI research community. The session will demonstrate how postgraduate researchers can utilise AIoD as a collaborative ecosystem that facilitates interdisciplinary connections and supports research dissemination, with case studies from ECAI2025 illustrating successful implementations. The lecture will provide practical guidance on platform registration, resource navigation, and optimisation strategies for maximising AIoD's utility within specific research contexts. Postgraduate students will emerge equipped with actionable knowledge for enhancing their research capabilities through strategic engagement with the platform, thereby contributing to the advancement of data-driven AI research and innovation across European academic contexts. *Details* *?** Date: 9 December 2025* *?** Time*: *17:00-18:00 CET* *?* *Zoom link * *Meeting ID: 938 1998 1362* *Passcode: 114050* *?** For more information, click here * *Lecturer Short CV: *Long Pham joined UCC as the AI4EU Community Manager. Prior to Insight, Long was a business development manager for University College Cork, Ireland, in ASEAN markets, where she worked with governments, universities, industries and education services for UCC internationalization strategies. Long moved to the business role from being a researcher of the International Energy Research Centre at the Tyndall National Institute in Cork, for four years since 2014. Long was an executive at IBM's Governmental Programs for over five years and worked closely with Vietnamese and American governments on technology and free trade policies at all stages. She is also well connected to city and provincial leaders when she oversaw IBM's Smarter Planet agenda and Smarter Cities cooperation programs in Vietnam, California in the US with a focus on major cities including Ho Chi Minh, Da Nang, Ha Noi, and Fresno (CA, USA). Prior to joining IBM, Long was a career journalist and Managing Editor for the Viet Nam News, a daily English newspaper of the Vietnam News Agency where she oversaw the various publication channels. In addition to policy advisory work and research, Long is a recent PhD graduate whose dissertation focused on resident engagement for smart city programs, local policy development, and regulation for technology adoption to promote smart and sustainable city development. 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 Prof. Enrique Alba University of M?laga (SPAIN) AIDA AI Excellence Lecture Series Committee Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Wed Dec 3 04:22:22 2025 From: announce at ucy.ac.cy (Announce) Date: Wed, 3 Dec 2025 09:22:22 +0000 Subject: Connectionists: The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026): Fifth Call for Demos & DC & T Message-ID: *** Fifth Call for Demos, DC and Tutorials *** 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/ AAMAS 2026 received 1455 full paper submissions for the Main Track, after an initial submission of 1800 abstracts. This is by far the highest number of submissions (around 50% more than the previous highest number) in the 25 years of AAMAS. We still welcome submissions to the Demo Track, the DC Track as well as for tutorials. The Demo Track allows participants from both academia and industry to showcase their latest developments in agent-based and robotic systems. The DC (Doctoral Consortium) 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. 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. More information about the above calls, along with their 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) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ai at okipublishing.com Wed Dec 3 16:36:53 2025 From: ai at okipublishing.com (AI Systems) Date: Wed, 03 Dec 2025 15:36:53 -0600 Subject: Connectionists: Abstracts Due Jan 19: CAIF 2026 Artificial Intelligence Frontiers, April 1-2, USA & Online Message-ID: <5a4f21ee063a78ece080019fd14d0e6c@okipublishing.com> [Apologies for cross-posting] --- 1st Call for Abstracts and Papers ------------- 2026 OkIP International Conference on Artificial Intelligence Frontiers (CAIF) Online and Oklahoma City, OK, USA April 1-2, 2026 https://eventutor.com/e/CAIF003 Submission Deadline: January 19, 2026 OkIP Published & Submission for Indexation Extended versions of the best papers will be considered for publication in the inaugural volume of the International Journal of Automated and Intelligent Systems. *** Tracks/Areas: >> AI, Machine Learning (ML), and Applications >> Agent-based, Automated, and Distributed Supports >> Formal Methods in AI >> AI Foundations/Theory/Algorithms >> Natural Language Processing (NLP) >> Conversational Agents and Dialogue Systems >> Intelligent Systems and Applications >> AI in Bioinformatics/Biotechnology >> AI in Nuclear-Energy/Earth-observation >> Knowledge-based and Control Supports >> Automation, Robotics and Vehicles >> Business Process Automation >> Global and Sustainable AI >> AI for HealthCare >> AI and Environmental Efficiency >> AI for Diversity/Inclusion/Equity/Equality >> AI for Future Communities >> Generative AI Tools and Models >> AI in Computing and Society >> Smart Systems/Infrastructures/Construction/City >> Intelligent Transportation Systems >> AI in Education >> AI Engineering >> AI in Data and Big Data >> AI System Design >> Software Engineering for AI >> AI for Cloud Computing >> AI in Software Engineering >> Theories and Approaches of Blockchain >> AI in Electronic Commerce >> AI in High-Performance Computing >> AI in Cybersecurity and Information Assurance >> IA in Power Systems >> Internet of Things >> IA in Energy >> AI Ethical/Gender/Equity/Bias/Policy/Accessibility Concerns >> Circuit, Design, and Hardware for AI >> Other *** Important Dates: - Abstract or Paper Submission: January 19, 2026 - Author Notification: February 2-16, 2026 - Camera Ready Paper Submission, Registration: February 9-23, 2026 - Conference Date: April 1-2, 2026 *** Contribution Types (Two-Column Format Style): - Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (1 page) *** Technical Program Committee https://eventutor.com/event/74/page/198-committee Please feel free to contact us for any inquiries at: Kris Zeuti OkIP Secretariat info at okipublishing.com From emergingtechnetwork.publicity at gmail.com Thu Dec 4 04:08:44 2025 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Thu, 4 Dec 2025 12:08:44 +0300 Subject: Connectionists: The IEEE co-sponsored 2nd International Conference on Emerging and Intelligent Technologies and Systems (EITS 2026), 9-12 June, 2026 | Valencia, Spain Message-ID: [Apologies if you got multiple copies of this invitation] The 2nd International Conference on Emerging and Intelligent Technologies and Systems (EITS 2026) Hybrid Event https://ais-conference.org/2026/ 9-12 June, 2026 | Valencia, Spain Technically Co-Sponsored by IEEE Spain Section *AIS 2026 CFP:* Emerging and intelligent technologies and systems represent the forefront of innovation in computing, communication, and automation. They combine advances in artificial intelligence, machine learning, the Internet of Things (IoT), cloud and edge computing, 5G/6G networks, robotics, and data science to create adaptive, efficient, and human-centered solutions. These technologies are transforming industries such as healthcare, transportation, energy, and smart cities by enabling intelligent decision-making, real-time responsiveness, and sustainable development. As they continue to evolve, emerging and intelligent systems are shaping the foundation of next-generation digital societies, offering both opportunities and challenges in terms of security, ethics, and large-scale deployment. The International Conference on Emerging and Intelligent Technologies and Systems (EITS 2026) will bring together leading researchers, practitioners, and industry experts to present and discuss the latest advances, applications, and challenges in intelligent technologies and next-generation systems. EITS 2026 serves as a premier forum for innovation, cross-disciplinary collaboration, and knowledge exchange across academia and industry. We invite the submission of high-quality, original research papers describing innovative ideas, breakthrough results, and practical applications. with special interest in, but not limited to, the following: ? Artificial Intelligence, Machine Learning and Generative AI ? Intelligent Communication, Networking and Computing Systems ? Generative AI, Foundation Models, and Large Language Models ? Computer Vision, Image and Video Processing ? Cybersecurity and Trustworthy Systems ? Artificial Intelligence Systems Security ? Computational Language and Human-Centered Systems ? Emerging Applications, Ethics, Society, and Governance ? Robotics, Intelligent Automation and Sustainable Systems *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the EITS Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers must follow the IEEE paper format. And include up to 7 keywords. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be up to 6 pages. *Important Dates:* - *Paper submission deadline: February 20th, 2026* - Notification of acceptance: April 15th, 2026 - Camera-ready Submission: May 5th, 2026 *Contact:* Please send any inquiry on AIS to: info at gaclm.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From alberto.nogales at ceiec.es Thu Dec 4 09:52:22 2025 From: alberto.nogales at ceiec.es (Alberto Nogales) Date: Thu, 4 Dec 2025 15:52:22 +0100 Subject: Connectionists: Looking for PhD Candidates in Brain Signals & Deep Learning (Spain) Message-ID: Dear all, I am looking for motivated candidates interested in pursuing a *PhD in brain signal analysis and deep learning*. The PhD would be based in *Madrid, Spain*, with affiliation at *IRYCIS* and the *University of Alcal? (UAH)*. The selected candidate and I will *jointly apply for competitive PhD funding opportunities*, so this call is aimed at students with strong academic performance and interest in AI applied to neuroscience. Preferred background: - Computer Science, Biomedical Engineering, Neuroscience, or related fields - Programming and machine learning experience If interested, please send a brief message and your CV to *alberto.nogales at uah.es *. Feel free to share with potentially interested students. Best regards, *Dr. Alberto Nogales* IRYCIS, UAH Madrid, Spain -------------- next part -------------- An HTML attachment was scrubbed... URL: From Steven.M.Frankland at dartmouth.edu Thu Dec 4 10:13:39 2025 From: Steven.M.Frankland at dartmouth.edu (Steven M. Frankland) Date: Thu, 4 Dec 2025 15:13:39 +0000 Subject: Connectionists: Dartmouth Society of Fellows - Post-Doc Opportunity Message-ID: The Society of Fellows at Dartmouth College invites applications for two-year postdoctoral fellowships. These fellowships foster the academic careers of scholars who have recently received their Ph.D. degrees. Fellows pursue their research while gaining mentored experience as teachers and members of the departments or programs in which they are housed. For the 2026-2028 cohort, we seek candidates for a fellowship in the Program in Cognitive Science, with specialization in computational and empirical approaches to artificial and natural intelligence, including perception, representation, and planning in complex environments. Applicants must hold a PhD, or be ABD, in a relevant discipline, with degree conferred between January 1, 2024 and June 30, 2026. For a complete position description visit: https://apply.interfolio.com/176946. Deadline for Application is January 4th, 2026. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtista at gmail.com Fri Dec 5 04:19:52 2025 From: mtista at gmail.com (Massimo Tistarelli) Date: Fri, 5 Dec 2025 10:19:52 +0100 Subject: Connectionists: 23rd Int.l Summer School on Biometrics, Behavior and Vision - Alghero, Italy June 8-12 2026 Message-ID: *We apologize if you are receiving this information multiple times* *23rd EURASIP*/IAPR*/IEEE* Int.l Summer School for Advanced Studies on Biometrics, Behavior and Vision* HUMAN INTERACTIONS AND LARGE FOUNDATION MODELS Alghero, Italy ? June 8-12 2026 Contact: tista at uniss.it https://biometrics.uniss.it For the past 22 years this international Summer School provided an active and dynamic forum to closely follow the most recent developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art. This year's main topic will be the impact of generative AI and large foundation models on the development and deployment of biometrics and human recognition in different application domains to facilitate human interaction with artificial agents. Machine learning, Image understanding, Signal analysis, Neuroscience, Robotics, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today "Biometrics". Over the last decade the advent of Deep Learning and, more recently, Generative AI, strongly impacted both research and application of automatic biometric data analysis and recognition. However, other issues and concerns, not directly related to the computational performance, arise including the fairness, reliability and trustfulness of current biometric systems. This edition of the school will address these issues trying to answer some compelling questions, such as: - How to mitigate bias in recognition systems? - How to design privacy-preserving and "ethical" AI models? - What can we learn from human perception? - How to better deploy current large foundation models? - How to cope for adversarial attacks in biometric recognition? - How human interactions can facilitate continual learning and adaptation? - What is the potential impact of biometrics in forensic investigation and crime prevention? The course follows the successful track of the International Summer Schools on Biometrics held since 2003 and it will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by 18 outstanding experts in the field, from both academia and industry. Open sessions will be organised with questions and answers moderated by leading experts in the field. APPLICATION DEADLINE: February 15th 2026 download application form: https://biometrics.uniss.it * Sponsorship approval pending Participant application The school will be open to about 60 highly qualified, motivated and pre-selected applicants. Phd students, post-docs, researchers, forensic examiners, police officers and professionals are encouraged to apply. To attend the school classes, physical presence of the participants will be required. In exceptional cases of travel limitations, remote participation with videoconference facilities will be also allowed. The expected school fees will be in the order of 1,900 ? (400 ? in videoconference) for students and 2,500 ? (900 ? in videoconference) for others. The fees will include full board accommodation at the school premises, all courses and handling material. A limited number of scholarships, offered by the school sponsors, partially covering the fees, will be awarded to students, selected on the basis of their scientific background and on-going research work. The scholarship request form can be downloaded from the school web site https://biometrics.uniss.it . Phd students, researchers and post-docs are also encouraged to submit a short paper (6 pages maximum) for an oral presentation on their recent research activity. Poster boards will be also available for all participants to display their current research or professional activities in the field. Send a filled application form (download from http://biometrics.uniss.it ) together with a short curriculum vitae to: Prof. Massimo Tistarelli ? e-mail: biometricsummerschool at gmail.com Advance application is strictly required by February 15th 2026 School location The school will be hosted by Hotel Dei Pini (https://www.hoteldeipini.com/ ) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean Sea. The structure is beautifully immersed into the Capo Caccia bay. The hotel Dei Pini has a recently renovated conference centre, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities. School Committee Massimo Tistarelli Computer Vision Laboratory University of Sassari, Italy Josef Bigun Department of Computer Science Halmstad University, Sweden Enrico Grosso Computer Vision Laboratory University of Sassari, Italy Anil K. Jain Biometrics laboratory Michigan State University, US Distinguished lecturers from past school editions Josef Bigun - Halmstad University ? Sweden Thirimachos Bourlai - University of Georgia ? USA Kevin Bowyer - University of Notre Dame ? USA Vincent Bouatou - Idemia ? France Rama Chellappa - University of Maryland ? USA Roberto Cipolla - Cambridge University ? UK John Daugman - Cambridge University ? UK Farzin Deravi - University of Kent ? UK Andrzej Drygajlo - EPFL ? Switzerland Jean-Luc Dugelay - Eurecom ? France Ida Gobbini - Universit? di Bologna ? Italy James Haxby - Dartmouth University ? USA Anil K. Jain- Michigan State University ? USA Ioannis Kakadiaris - University of Houston ? USA Michael King - Florida Institute of Tech. ? USA Joseph Kittler - University of Surrey ? UK Chang-Tsun Li - Warwick University ? UK Davide Maltoni - Universit? di Bologna ? Italy Sebastien Marcel - IDIAP ? Switzerland John Mason - Swansea University ? UK Aldo Mattei - Arma dei Carabinieri ? Italy Didier Meuwly - Netherlands Forensic Institute ? NL Emilio Mordini MD - Responsible Technology ? Italy Mark Nixon - University of Southampton ? UK Alice O?Toole - University of Texas ? USA Maja Pantic - Imperial College ? UK Vishal Patel - Johns Hopkins University ? USA Jonhaton Phillips - NIST ? USA Tomaso Poggio - MIT ? USA Nalini Ratha - University at Buffalo ? USA Arun Ross - Michigan State University ? USA Tieniu Tan - CASIA-NLPR ? China Massimo Tistarelli - Universit? di Sassari ? Italy Alessandro Verri - Universit? di Genova ? Italy James Wayman - University of San Jos? ? USA Harry Wechsler - George Mason University ? USA Lior Wolf - Mentee Robotics & Tel Aviv University ? Israel -------------- next part -------------- An HTML attachment was scrubbed... URL: From stdm at zhaw.ch Fri Dec 5 04:40:29 2025 From: stdm at zhaw.ch (Stadelmann Thilo (stdm)) Date: Fri, 5 Dec 2025 09:40:29 +0000 Subject: Connectionists: [CfP] Call for Papers: SDS2026 - The 13th IEEE Swiss Conference on Data Science and AI Message-ID: Dear colleague, We are pleased to invite you to submit your work to the 13th IEEE Swiss Conference on Data Science and AI (SDS2026), which will take place on May 6-7, 2026, in Z?rich, Switzerland. Abstract Registration Deadline: January 23, 2026 Paper Submission Deadline: February 01, 2026 Reviewer Feedback: until February 20, 2026 Option for a brief comment on reviewer Feedback: until February 23, 2026 Decision Notification: March 10, 2026 Conference: May 08, 2026 We invite original research submissions from the broad field of data science and artificial intelligence (AI) focusing on novelty, best practice and use case orientation. Submissions are required to demonstrate both scientific-technical depth and practical applicability, and may encompass methods along the full pipeline of data science and AI systems - from data acquisition and data management, through data analysis using machine learning and AI, to visualization, data product design, value creation, and the management of societal effects. Topics of Interest Topics include but are not limited to, the following key focus areas for 2026: * Large Language Models and Learning Methodology: Neural Architectures, World Models, Multimodal Models (Text, Image, Video), Pre-trained Foundation Models, Generative AI, Natural Language Processing (NLP), Question Answering, Retrieval-Augmented Generation (RAG), Agentic AI, Model Fine-tuning, Zero-shot Learning, Conversational AI, Data-Driven AI, Model Interpretability, and Trustworthy AI * Human-AI Interaction: Human-in-the-loop, Human-AI Teaming, Personalization and Contextualization, Explainable AI, Adversarial Attacks and Robustness, Data Privacy and Security, Data and Information Quality, Data Governance, Adaptive User Interfaces, Proactive AI Systems, and AI-Assisted Decision Making, Physical AI * Data-Driven Value Creation: Intelligence, Service Design and Operations, Smart Services, and Domain Specific Applications for Societal Challenges (e.g., Climate Change, Aging Population, Urban Planning and Smart Cities, Food Security and Agriculture, etc.), * AI and Society: Ethics, Fairness, Pro-Human AI, Accountability and Transparency, Sustainability, AI Regulation, AI Certification, Cybersecurity in Relation to Data Science, Business Models Data Science is a dynamic field. Therefore, we also welcome submissions that do not fit into any of the key focus areas, such as: Scientific Machine Learning, Data Exploration, Data Modeling and Visualization, Data Mining, Feature Selection, Pattern Recognition, Evolutionary Computing and Optimization, Fuzzy Computing, Digital Twins, Automated Hypothesis Generation, Predictive Analytics, Interdisciplinary Data Integration, Data Warehousing, Data Structures and Data Management, Information Retrieval, Information Integration, Big Data Applications, Data Quality for Trusted AI, etc. Submission Guidelines Submit at: https://easychair.org/conferences?conf=sds2026 * Full Paper: max. 8 pages incl. references, IEEE 8.5" x 11" two-column format. Present high-quality research contributions, including experiments, analysis, or system papers, as well as descriptions of application results. * Short Paper: max. 4 pages incl. references, IEEE 8.5" x 11" two-column format. Present late-breaking results, work in progress, follow-up extensions, application case studies, or evaluations of existing methods. All submissions must be original works that have not been published previously in any conference proceedings, magazine, journal, or edited book. Concurrent submissions are strictly forbidden. SDS 2026 maintains the confidentiality of submitted material. Upon acceptance, the titles, authorship, and abstracts of accepted papers will be released. Review Process * Double-Blind Review: Each submission will undergo a thorough review by the international Scientific Program Committee, with multiple experts evaluating the papers based on established scholarly criteria. To ensure impartiality, authors must anonymize their submissions appropriately. Submissions that fail to meet this requirement will be desk rejected. * Decision by an Expert Panel: The international board of Program Co-Chairs will take the final decisions based on the external reviews. In special or borderline cases, the Program Co-Chairs will solicit additional meta-reviews and take brief author comments on the reviews into account to ensure fairness and consistency of the evaluation. Excellent content and presentation are mandatory for acceptance (acceptance rate 2025: 35%). * Commitment to Present: Submission of a paper implies the commitment of at least one author to register and present the paper at the conference (in English, as poster or talk). Publication Accepted papers will be published by the IEEE and included in the IEEE Xplore digital library. Policy on AI for Writing Assistance The use of AI assistants (e.g., ChatGPT, Copilot) in research, coding, or writing of the paper must be disclosed if it extended beyond pure language editing, brief input assistance, literature searches, or generating routine, low-novelty text. Best regards, The SDS2026 Scientific Co-Chairs Dr. Hella Bolck, Zurich University of Applied Sciences Dr. Kacper Sokol, University of Bristol Prof. Bernd Freisleben, University of Marburg Prof. Siegfrid Handschuh, University of St. Gallen Prof. Christoph Heitz, Zurich University of Applied Sciences Prof. Ata Kaban, University of Birmingham Prof. Daniel Keim, University of Konstanz Prof. Thilo Stadelmann, Zurich University of Applied Sciences Prof. Andrei Kucharavy, HES-SO Valais-Wallis -------------- next part -------------- An HTML attachment was scrubbed... URL: From david.ramsay at depaul.edu Fri Dec 5 15:57:33 2025 From: david.ramsay at depaul.edu (Ramsay, David) Date: Fri, 5 Dec 2025 20:57:33 +0000 Subject: Connectionists: Funded PhD Position: Computational Modeling of Media Consumption (Chicago) Message-ID: Colleagues, I am recruiting a second funded PhD for next fall here in downtown Chicago. Please see below and reach out with questions, thanks! PRINCIPLED INTERFACES @ DEPAUL PhD Position in College of Computing and Digital Media SEEKING: Computational/AI researcher interested in psychology + media theory PROJECT: Develop computational models of how media consumption patterns shape individual cognition and behavior based on longitudinal real-world data WE OFFER: * Fully-funded position * Media Lab-style environment in downtown Chicago * Hands-on fabrication facilities with 'How To Make Almost Anything' introductory coursework * Focus on real-world impact and entrepreneurial mentality IDEAL CANDIDATE: * Strong coding/systems background, AI experience a plus * Interest in idiographic modeling and psychology * Builder mentality * Comfort with data from naturalistic, instrumented environments a plus Contact: david.ramsay at depaul.edu Learn more: https://principledinterfaces.com Applications are due January 15th to the College of Computing and Digital Media. Best, David (MIT Media Lab PhD ?23, Asst. Professor of Computing and Digital Media @ DePaul University) ? David B. Ramsay, PhD tel: 703.347.1376 email: david.ramsay at depaul.edu Assistant Professor, DePaul University Director, Principled Interfaces www.davidbramsay.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From daniela.fogli at unibs.it Fri Dec 5 08:34:47 2025 From: daniela.fogli at unibs.it (Daniela FOGLI) Date: Fri, 5 Dec 2025 14:34:47 +0100 Subject: Connectionists: AVI 2026: Advanced Visual Interfaces - Last Call for Workshop Proposals Message-ID: <38449554-B595-4439-A960-583DB6F80586@unibs.it> 18th International Conference on Advanced Visual Interfaces (AVI) 2026 Interactive Creativity: Agencies, Interfaces, and Ethics ======================================== 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 - 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 either on June 8 or 9, 2026, at the AVI2026 venue in Venice. Workshop proposals must be submitted using the following form, which also contains relevant information for the workshop organisers: 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) --------------------------------------------------------------------------- DESCRIPTION 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. 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 --------------------------------------------------------------------------- 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 - Institute for Information Technology, 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 -- Informativa sulla Privacy:?https://www.unibs.it/it/node/1452 From Takuya.Ito at ibm.com Fri Dec 5 17:32:41 2025 From: Takuya.Ito at ibm.com (Takuya Ito) Date: Fri, 5 Dec 2025 22:32:41 +0000 Subject: Connectionists: IBM 2026-27 Herman Goldstine Memorial Postdoctoral Fellowship Message-ID: IBM 2026-27 Herman Goldstine Memorial Postdoctoral Fellowship The IBM Research Mathematics of Computation Department invites applications for its 2026?2027 Herman Goldstine Memorial Postdoctoral Fellowship for research in the theory of algorithms and algorithm design. The fellowship provides scientists of outstanding ability an opportunity to advance their scholarship as resident department members at one of the IBM Research laboratories. Areas of interest include Deep Learning and the Mathematics of AI. For full consideration, please apply by December 31, 2025. More information available at https://research.ibm.com/labs/yorktown-heights/goldstine/ --------- Takuya Ito https://ito-takuya.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From auke.ijspeert at epfl.ch Sun Dec 7 10:52:44 2025 From: auke.ijspeert at epfl.ch (Auke Ijspeert) Date: Sun, 7 Dec 2025 16:52:44 +0100 Subject: Connectionists: [Meetings] LAST call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026. Message-ID: <001481ce-c3d4-4cdf-b749-9a2187b3022f@epfl.ch> LAST call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026. *December 14, final deadline.* 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 call for participation and for posters is still open, see https://www.grc.org/robotics-conference/2026/ *Please apply soon,? December 14 is the final deadline.* 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 dhansel0 at gmail.com Sun Dec 7 04:22:13 2025 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 7 Dec 2025 11:22:13 +0200 Subject: Connectionists: =?utf-8?q?World_wide_VVTNS_series_=286th_season?= =?utf-8?q?=29=3A_Wednesday=2C_December_10=2C_2025=2C_at_11=3A00_am?= =?utf-8?q?_ET_-_Markus_Diesman_=7C_J=C3=BClich_Research_Center?= In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture Markus Diesman J?lich Research Center on the topic of *Building on cortical models* The lecture will be held on zoom on December 10, 2025, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Over the past decade our community has made substantial progress in the construction of anatomically detailed network models of the cortical tissue. Thanks to advances in computer hardware and simulation technology, researchers can now routinely work with these models at the natural density of neurons and synapses. Moreover, the availability of cloud services means that such investigations can be carried out without having to install either the model or the simulation software. A recent workshop analyzed the impact of a specific model of the cortical microcircuit, published ten years ago . The model has been reused in multiple contexts: for reproduction studies, validation of mean-field approaches, exploration of methods of model sharing, and as a building block for larger models. Although the model was less successful in inspiring further neuroscientific studies than the authors of the original work had hoped, it became a de facto benchmark for neuromorphic computing systems. It sparked a constructive race for ever shorter simulation times and lower energy consumption. The quantitative comparison of different platforms reveals qualitative differences between conventional and neuromorphic hardware and limits of speed-up. The structure of the model is based on light microscopy because these were the data available at the time. Guided by simulation results and physiological evidence, the original publication hypothesized a preference of excitatory neurons for inhibitory targets. Modern electron microscopy data of cortical volumes combined with AI based reconstruction techniques is capable of resolving individual synaptic connections. This advances the concept of digital twins of the cortical network to a new level of precision, and has already enabled us to confirm the assumption of target type specificity underlying earlier models. Maybe with the progress sketched here, our community is at a transition point where it becomes easier to cooperatively and incrementally work on models with a larger explanatory scope. *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 announce at ucy.ac.cy Sun Dec 7 05:17:41 2025 From: announce at ucy.ac.cy (Announce) Date: Sun, 7 Dec 2025 10:17:41 +0000 Subject: Connectionists: The 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026): Last Combo Call for Workshop Papers Message-ID: <13JBSX0-LK7-I6DB-LQA-74OLNPRY1WKS@ucy.ac.cy> *** Last 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 attracted 213 full paper submissions, the third highest in the 33 years of running. The conference will feature the following workshops with open calls for submission. 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 dhansel0 at gmail.com Sun Dec 7 06:23:06 2025 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 7 Dec 2025 13:23:06 +0200 Subject: Connectionists: Fwd: [seminar.wwtns] New recording on the VVTNS YouTube channel: Learning representations of specifics and generalities over time by Anna Schapiro , University of Pennsylvania In-Reply-To: References: Message-ID: [image: VVTNS.png] > > > https://www.wwtns.online > > - on twitter: wwtns at TheoreticalWide - on Youtube > New on the VVTNS YouTube Channel https://www.wwtns.online/past-seminars-2025-2026 *Learning representations of specifics and generalities over time* Lecture delivered on December 3, 2025 by Anna Schapiro University of Pennsylvania *Abstract:* There is a fundamental tension between storing discrete traces of individual experiences, which allows recall of particular moments in our past without interference, and extracting regularities across these experiences, which supports generalization and prediction in similar situations in the future. One influential proposal for how the brain resolves this tension is that it separates the processes anatomically into Complementary Learning Systems, with the hippocampus rapidly encoding individual episodes and the neocortex slowly extracting regularities over days, months, and years. But this does not explain our ability to learn and generalize from new regularities in our environment quickly, often within minutes. We have put forward a neural network model of the hippocampus that suggests that the hippocampus itself may contain complementary learning systems, with one pathway specializing in the rapid learning of regularities and a separate pathway handling the region?s classic episodic memory functions. This proposal has broad implications for how we rapidly learn novel information of specific and generalized types, which we test across statistical learning, inference, and category learning paradigms. We also explore how this system interacts with slower-learning neocortical memory systems, with empirical and modeling investigations into how hippocampal replay shapes neocortical representations during sleep. Together, the work helps us understand how structured information in our environment is initially encoded and how it then transforms over time. *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 announce at ucy.ac.cy Mon Dec 8 04:17:40 2025 From: announce at ucy.ac.cy (Announce) Date: Mon, 8 Dec 2025 09:17:40 +0000 Subject: Connectionists: The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): Last Combo Call for Workshop Papers Message-ID: *** Last 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: December 19, 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, University of Zurich, Switzerland ? Antonela Tommasel, ISISTAN, CONICET-UNCPBA, JKU, Argentina, Austria -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Mon Dec 8 04:24:41 2025 From: efipatm at gmail.com (Efi P) Date: Mon, 8 Dec 2025 11:24:41 +0200 Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Dr. Long Pham (University College Cork): "Leveraging the AI-on-Demand Platform for AI Research: Opportunities for Postgraduates", December 9, 2025 - 17:00 CET. Message-ID: Dear AI scientist/engineer/student/enthusiast, Dr. Long Pham (University College Cork) will deliver the e ? lecture: "*Leveraging the AI-on-Demand Platform for AI Research: Opportunities for Postgraduates* ": *Abstract*: This lecture presents a comprehensive examination of the AI-on-Demand Platform (AIoD) and its capabilities for supporting postgraduate research in artificial intelligence. Drawing upon insights from AIoD's recent presence at the 27th European Conference on Artificial Intelligence (ECAI2025, October 25-30, 2025), this session will explain how postgraduate students can strategically leverage the platform's resources to advance their research objectives. The AIoD platform provides registered users with open access to an extensive repository of AI assets, including curated datasets, state-of-the-art models, development tools, and collaborative services. The lecture will explore how these resources can be integrated throughout the research lifecycle, from data acquisition and exploratory analysis to model development and validation, thereby accelerating research timelines and enhancing methodological rigour. Particular attention will be devoted to AIoD's role as a node for knowledge exchange and professional networking within the European AI research community. The session will demonstrate how postgraduate researchers can utilise AIoD as a collaborative ecosystem that facilitates interdisciplinary connections and supports research dissemination, with case studies from ECAI2025 illustrating successful implementations. The lecture will provide practical guidance on platform registration, resource navigation, and optimisation strategies for maximising AIoD's utility within specific research contexts. Postgraduate students will emerge equipped with actionable knowledge for enhancing their research capabilities through strategic engagement with the platform, thereby contributing to the advancement of data-driven AI research and innovation across European academic contexts. *Details* *?** Date: 9 December 2025* *?** Time*: *17:00-18:00 CET* *?* *Zoom link * *Meeting ID: 938 1998 1362* *Passcode: 114050* *?** For more information, click here * *Lecturer Short CV: *Long Pham joined UCC as the AI4EU Community Manager. Prior to Insight, Long was a business development manager for University College Cork, Ireland, in ASEAN markets, where she worked with governments, universities, industries and education services for UCC internationalization strategies. Long moved to the business role from being a researcher of the International Energy Research Centre at the Tyndall National Institute in Cork, for four years since 2014. Long was an executive at IBM's Governmental Programs for over five years and worked closely with Vietnamese and American governments on technology and free trade policies at all stages. She is also well connected to city and provincial leaders when she oversaw IBM's Smarter Planet agenda and Smarter Cities cooperation programs in Vietnam, California in the US with a focus on major cities including Ho Chi Minh, Da Nang, Ha Noi, and Fresno (CA, USA). Prior to joining IBM, Long was a career journalist and Managing Editor for the Viet Nam News, a daily English newspaper of the Vietnam News Agency where she oversaw the various publication channels. In addition to policy advisory work and research, Long is a recent PhD graduate whose dissertation focused on resident engagement for smart city programs, local policy development, and regulation for technology adoption to promote smart and sustainable city development. 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 Prof. Enrique Alba University of M?laga (SPAIN) AIDA AI Excellence Lecture Series Committee Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From georg.martius at tuebingen.mpg.de Mon Dec 8 11:59:20 2025 From: georg.martius at tuebingen.mpg.de (Georg Martius) Date: Mon, 8 Dec 2025 17:59:20 +0100 Subject: Connectionists: =?utf-8?q?Postdoc_on_Neuro-AI_at_University_of_T?= =?utf-8?q?=C3=BCbingen?= Message-ID: Dear colleagues, We seek highly qualified researchers to advance **neuro-inspired machine learning** for **recurrent neural networks and reinforcement learning** to start at the earliest possible date. The overarching goal of the project is to design more capable and efficient AI systems using **neuroscience-inspired computational building blocks**. The project is jointly supervised by Anna Levina, a computational neuroscientist, and Georg Martius, a machine learning and robotics researcher. The position is fully funded for 2.5 years. Details: https://uni-tuebingen.de/de/290463 Apply **until 12 Jan 2026**! Please share within your networks. Best, Georg and Anna From denis.kleyko at gmail.com Mon Dec 8 08:42:48 2025 From: denis.kleyko at gmail.com (Denis Kleyko) Date: Mon, 8 Dec 2025 14:42:48 +0100 Subject: Connectionists: PhD Position in Machine Learning at Orebro University (Sweden) Message-ID: The Machine Perception and Interaction Lab invites applications for a PhD position at the intersection of machine learning and neuroscience at the Department of Computer Science, Orebro University (Sweden). The project will focus on machine learning, specifically on developing novel neuro-inspired and computationally efficient methods. The successful candidate should demonstrate strong independent problem-solving skills and the ability to think critically. Good communication and collaboration skills are also required. Courses, a thesis, or publications in any of the following areas will be considered a merit: digital signal processing, electrical engineering, computer vision, machine learning, artificial intelligence, cognitive science, or robotics. The position offers competitive working conditions, and a generous travel budget is available. University of Registration: Orebro University (Sweden) Application deadline: January 16, 2026. To apply, follow the link: https://www.oru.se/english/career/available-positions/job/?jid=20250375 Project Outline: Modern machine learning methods often depend on enormous datasets and extensive computing resources. This trend limits their scalability, increases their environmental footprint, and makes advanced machine learning accessible only to those with significant computational power. Meanwhile, biological neural systems, such as insect or human brains, operate under extreme energy constraints yet still handle complex tasks remarkably well. They achieve this by leveraging such computational principles as structural organization, recurrence (memory over time), and even randomness. Integrating these biological principles into machine learning opens a path toward methods that require far less computation while still delivering strong processing capabilities. To make this possible, both theoretical and practical advances are needed: a deeper understanding of how learning systems can build compact and selective memories, how they can leverage prior knowledge to interpret new data efficiently, and how state-of-the-art architectures like transformers could incorporate these principles to better handle challenges such as long-range temporal dependencies, limited training data, and restricted computing budgets. The goal of the project is to explore how structured prior knowledge, memories of past inputs, and randomized representations can be combined to create high-performing machine learning models that run even on resource-constrained devices. This work aims to produce a new framework for lightweight machine learning: methods that remain competitive with state-of-the-art models while dramatically reducing computations. The project will demonstrate its impact in demanding challenging domains such as long-term forecasting of dynamical systems and the processing of biomedical signals from wearable devices. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Tue Dec 9 05:27:56 2025 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries (staff)) Date: Tue, 9 Dec 2025 10:27:56 +0000 Subject: Connectionists: Funded PhD Studentship on motor cortex control of arm movements Message-ID: We seek applicants for a fully-funded MRC PhD studentship project "Leveraging population activity trajectories to optimise Brain-computer interfaces for arm movement" with Mark Humphries (Nottingham) and Katja Kornysheva (Birmingham) for October 2026 start This project will develop a new approach to brain-computer interfaces, by leveraging our new understanding of how the neural activity in the motor cortex encodes an intended arm movement. We will test this theory in multiple datasets of cortical recordings during arm movements, and we will develop new brain-computer interfaces that directly translate the encodings of motor cortex into intended movements. Application deadline: Jan 9th 2026, midday (GMT) How to apply for this project: https://more.bham.ac.uk/mrc-aim/phd-opportunities/ Submit your application to: mrc-aim-dtp at nottingham.ac.uk Professor Mark Humphries | Professor of Computational Neuroscience Office hours: Calendar Lab: humphries-lab.org Connect: Bluesky / LinkedIn / X Essays on the brain and science: drmdhumphries.medium.com Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) in hardback, paperback, ebook & audiobook read by Anand Jagatia 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 m2bartle at uwaterloo.ca Tue Dec 9 09:08:45 2025 From: m2bartle at uwaterloo.ca (Madeleine Bartlett) Date: Tue, 9 Dec 2025 14:08:45 +0000 Subject: Connectionists: [Meetings] Deadline reminder: 2026 Nengo Summer School Call For Applications Message-ID: Dear colleagues, Please note that the deadline for application submission to the Nengo Summer School, December 22nd, 2025, is approaching. For those of you still writing your proposals, we will be hosting a drop-in information session (virtual) Friday, December 12, 2025 at 2PM EST. Please register here. All details about this school can be found online at https://www.nengo.ai/summer-school 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: Maddy 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 giacomo.cabri at unimore.it Tue Dec 9 08:57:12 2025 From: giacomo.cabri at unimore.it (Giacomo Cabri) Date: Tue, 9 Dec 2025 14:57:12 +0100 Subject: Connectionists: CfP: 39th Annual IEEE Canadian Conference on Electrical and, Computer Engineering (CCECE 2026) Message-ID: <88ffa3bb-32f1-4bb3-aa8f-dbb5230379ff@unimore.it> ? ? ? ? ? Call for papers ? ? ? ? ? 39th Annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2026) ? ? ? ? ? ? ? ? ? May 18?20, 2026, ? ? ? ? ? ? ? ? ? Le Westin, Montreal, Quebec, Canada ? ? ? ? ? ? ? ? ? https://ccece2026.ieee.ca The 39th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2026) will be held in Montreal, Quebec, Canada from May 18 to 20, 2026. CCECE provides a forum for the presentation of electrical and computer engineering research and development from Canada and around the world. ***IMPORTANT DATES*** Tutorial & Workshop Proposals ? Submission ? 25 Jan 2026 ? Decision Notification ? 1 Feb 2026 Full Papers (up to 8 pages in IEEE 2-column format, two of which are subject to overlength page charges) ? Initial Submission ? 25 Jan 2026 ? Decision Notification ? 25 Mar 2026 ? Final Paper Submission ? 15 Apr 2026 Poster Abstracts (1 page/IEEE 2-column format) ? Initial Submission ? 1 Apr 2026 ? Decision Notification ? 8 Apr 2026 ? Final Submission ? 15 Apr 2026 Registration ? Early Bird ? 15 Apr 2026 ***MAIN TRACKS*** - Circuits, Devices, Photonics and Systems - Control Systems and Robotics - Communications and Networking - Computer and Software Engineering - Power Electronics and Energy Systems - Signal and Multimedia Processing - Biomedical and Health Informatics - Machine Learning, Data Analytics and Artificial Intelligence - Clean and Intelligent Transportation - Marine Systems and Technology - Space Systems - History of Technology -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From dhansel0 at gmail.com Tue Dec 9 08:36:42 2025 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 9 Dec 2025 15:36:42 +0200 Subject: Connectionists: =?utf-8?q?REMINDER=3A_World_wide_VVTNS_series_=28?= =?utf-8?q?6th_season=29=3A_Wednesday=2C_December_10=2C_2025=2C_at_?= =?utf-8?q?11=3A00_am_ET_-_Markus_Diesman_=7C_J=C3=BClich_Research_?= =?utf-8?q?Center?= In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture Markus Diesman J?lich Research Center on the topic of *Building on cortical models* The lecture will be held on zoom on December 10, 2025, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Over the past decade our community has made substantial progress in the construction of anatomically detailed network models of the cortical tissue. Thanks to advances in computer hardware and simulation technology, researchers can now routinely work with these models at the natural density of neurons and synapses. Moreover, the availability of cloud services means that such investigations can be carried out without having to install either the model or the simulation software. A recent workshop analyzed the impact of a specific model of the cortical microcircuit, published ten years ago . The model has been reused in multiple contexts: for reproduction studies, validation of mean-field approaches, exploration of methods of model sharing, and as a building block for larger models. Although the model was less successful in inspiring further neuroscientific studies than the authors of the original work had hoped, it became a de facto benchmark for neuromorphic computing systems. It sparked a constructive race for ever shorter simulation times and lower energy consumption. The quantitative comparison of different platforms reveals qualitative differences between conventional and neuromorphic hardware and limits of speed-up. The structure of the model is based on light microscopy because these were the data available at the time. Guided by simulation results and physiological evidence, the original publication hypothesized a preference of excitatory neurons for inhibitory targets. Modern electron microscopy data of cortical volumes combined with AI based reconstruction techniques is capable of resolving individual synaptic connections. This advances the concept of digital twins of the cortical network to a new level of precision, and has already enabled us to confirm the assumption of target type specificity underlying earlier models. Maybe with the progress sketched here, our community is at a transition point where it becomes easier to cooperatively and incrementally work on models with a larger explanatory scope. *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 elisa.massi at ensea.fr Wed Dec 10 09:16:18 2025 From: elisa.massi at ensea.fr (Elisa MASSI) Date: Wed, 10 Dec 2025 15:16:18 +0100 (CET) Subject: Connectionists: PhD opportunity in affective neuroscience and reinforcement learning at ETIS lab, CY Cergy Paris University Message-ID: <69031935.31844261.1765376178053.JavaMail.zimbra@ensea.fr> Dear connectionists community, as part of the Paris Region (?le-de-France) DIM C-BRAINS 2025-2026 International PhD studentship program, we are looking for excellent international candidates who would wish to work on the following topic: Stress-Based Modulation of Hippocampal Replay-Inspired Techniques in Reinforcement Learning (SMaRT-RL) Supervisors: Elisa Massi (elisa.massi [@] cyu.fr, https://www.etis-lab.fr/2024/01/11/massi-elisa/ ) and Lola Ca?amero (lola.canamero [@] cyu.fr, www.etis-lab.fr/canamero-lola/ ), ETIS Lab UMR8051, CY Cergy Paris University, France Summary of the PhD project : ====================== Animals and humans process vast amounts of information but retain only the most relevant experiences, with emotions playing a key role in memory consolidation. Emotions, particularly stress, enhancing attention and arousal, influence brain regions like the hippocampus. In neuroscience, it is known that hippocampal reactivations help recall and consolidate experiences. In artificial intelligence (AI), strategies inspired by these reactivations, especially in reinforcement learning, have been shown to accelerate learning. When it comes to emotionally charged circumstances, the relationship between stress, its most prominent hormone, cortisol, and memory functions in the hippocampus, is complex. This project aims to explore the link between stress and hippocampal reactivations via a computational model, and test it in artificial agents. This bio-inspired approach could (a) reveal new insights into the generation of hippocampal replay mechanisms and (b) improve AI's learning efficiency. Keywords : stress modelling, reinforcement learning, hippocampal replay, computational modeling, cognitive and affective neuroscience For a detailed description of the project, please visit: https://dim-cbrains.fr/en/phd-program/dim-cbrains?search=lola+canamero Further information: =============== - Eligibility criteria: https://dim-cbrains.fr/api/1.0/editorjs/7c5b1e85-a681-4eff-9382-dcb70bed6819.pdf - About the DIM C-BRAIN International PhD studentship program: https://dim-cbrains.fr/api/1.0/editorjs/c035c5d8-3f2b-4745-86c2-dadf90771416.pdf - TO APPLY: https://dim-cbrains.fr/en/platform/login Applications close on the 30th of January 2026. Best regards, -- Elisa MASSI Assistant professor ETIS Lab -- CY Cergy Paris Universit?, France From sebastien.destercke at hds.utc.fr Thu Dec 11 15:55:09 2025 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Thu, 11 Dec 2025 21:55:09 +0100 Subject: Connectionists: SIPTA next seminar: Jasper de Bock on the 18th December (3pm Paris time), on robust classification Message-ID: <00353169-9BD3-4E67-81B5-5338FB056B7E@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 18th of December (Thursday). The zoom link for this seminar is https://utc-fr.zoom.us/j/83428448483 For this new seminar, we are very happy to have Jasper de Bock as our speaker. Jasper de Bock is Associate Professor at the Foundations Lab for imprecise probabilities (FLip) of Ghent University. Jasper de Bock is an internationally recognised expert of imprecise probabilistic approaches, with many foundational works touching topics as varied as stochastic process, the nature of imprecision, inference within graphical models with various independence notions, axiomatic of choice functions and sets of sets of desirable things. He has also led the SIPTA community for many years as a president of the society for 6 consecutive years. So be sure to be there to listen to his latest interest! On the 18th of December, at 15:00 CET:paris time (up to 17:00 CET, with a talk duration of 45min/1h), he will talk about "Robustness Quantification: using imprecise probabilities to assess the reliability of probabilistic classifiers?. 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 18th of December 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=kkeqcNwB94k See you at the seminar! S?bastien and Enrique From lrubchin at iu.edu Thu Dec 11 14:29:04 2025 From: lrubchin at iu.edu (Rubchinsky, Leonid L) Date: Thu, 11 Dec 2025 19:29:04 +0000 Subject: Connectionists: Call for tutorials and workshops at the 35th Annual Computational Neuroscience Meeting CNS*2026 In-Reply-To: References: Message-ID: Dear Colleagues, We are requesting proposals for workshops and tutorials at the 35th Annual Computational Neuroscience Meeting, CNS*2026 (Halifax, Canada, 11-15 July 2026). Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. Tutorials are to be held on the first day and workshops on the last two days of CNS*2026. This is an excellent opportunity to reach international audience of computational neuroscientists participating in this meeting. CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2026-call-for-workshops Priority Deadline for proposals: February 2, 2026. Contact: workshops at cnsorg.org CALL FOR TUTORIALS: https://www.cnsorg.org/cns-2026-call-for-tutorials Deadline for proposals: February 2, 2026. Contact: tutorials at cnsorg.org INFORMATION ABOUT CNS*2026: https://www.cnsorg.org/cns-2026 With kind regards, Leonid Rubchinsky OCNS Vice President, on behalf of the OCNS Board of Directors *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin at iu.edu math.indianapolis.iu.edu/~lrubchin/ *********************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.ngonga at upb.de Fri Dec 12 07:05:12 2025 From: axel.ngonga at upb.de (Axel Ngonga) Date: Fri, 12 Dec 2025 13:05:12 +0100 Subject: Connectionists: Spring School on Sustainable AI Message-ID: <2194da8e-52c8-4455-8a06-03825d8023a4@upb.de> Dear all, The SAIL Research Network (Sustainable Life-cycle of Intelligent Socio-Technical Systems) invites registrations for its Spring School, which will take place on March 17th?19th, 2026 at Paderborn University, Germany. Core topics of the school will be interdisciplinary approaches to resilience and artificial intelligence from theoretical, application, and socio-technical viewpoints. Participants will gain insights into current research on knowledge-driven AI methods, explainability, and the role of AI in engineering robust and sustainable systems. A poster session and several social activities will provide further opportunities for exchange and networking. Participation is free of charge, but due to limited capacity, registration is required. Registration deadline: 5 January 2026. All details and the registration form can be found here: https://indico.uni-paderborn.de/e/SAILspringschool Further information about the SAIL Research Network can be found at: https://www.sail.nrw/ Best regards, Axel Ngonga on behalf of the SAIL network -- Axel Ngonga, Prof. Dr. rer. nat. habil. Head of the Data Science Group Paderborn University Room F1.225 F?rstenallee 11, 33102 Paderborn Phone: +49 (0) 5251 60-1761 Calendar: https://goo.gl/4tGEfp Follow us on Twitter: @DiceResearch From efipatm at gmail.com Thu Dec 11 08:08:06 2025 From: efipatm at gmail.com (Efi P) Date: Thu, 11 Dec 2025 15:08:06 +0200 Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Prof. Francisco Chicano (University of Malaga): "Quantum Computing and Artificial Intelligence", December 16, 2025 - 17:00 CET Message-ID: Dear AI scientist/engineer/student/enthusiast, Prof. Francisco Chicano (University of Malaga) will deliver the e ? lecture: "*Quantum Computing and Artificial Intelligence*": *Abstract*: Quantum computing and artificial intelligence are two disciplines with great scientific prominence today. The promises of the former and the major advances of the latter are each causing a scientific and technological revolution. But what can these two disciplines do together? In this talk, we will explore how artificial intelligence problems can be solved using quantum computers and how classical artificial intelligence can support quantum computing. We will review recent advances at the intersection of quantum computing and artificial intelligence and discuss some current challenges and limitations. *Details* *?** Date: 16 December 2025* *?** Time*: *17:00-18:00 CET* *?* *Zoom link * *Meeting ID: **945 0688 9150* *Passcode: 114050* *?** For more information, click **here * *Lecturer Short CV: *Francisco Chicano is Full Professor at the University of Malaga (Spain). He has more than 150 publications and has been awarded with 6 best paper awards in international conferences. Dr. Chicano is (or has been) involved in 10 national projects, 3 European projects, 2 regional project (Junta de Andaluc?a), 5 local projects (Universidad de M?laga), and 17 transference contracts with companies and institutions. He has supervised 4 PhD thesis and is currently supervising 4 PhD thesis. He is in the editorial board of four journals related to Artificial Intelligence and Software Engineering and had important editorial roles in international conferences like GECCO, EvoCOP, and FOGA. He is currently Secretary of ACM Special Interest Group on Evolutionary Computation (SIGEVO), which organizes GECCO (main conference in EC in the world) and FOGA conferences, and Treasurer of the SPECIES Society, organizer of the Evostar conferences. Dr. Chicano has made contributions to the fields of combinatorial optimization, AI applied to Software Engineering and, more recently, quantum computing. In Quantum Optimization, Dr. Chicano is co-founder and co-organizer of the Workshop on Quantum Optimization at the Genetic and Evolutionary Computation (since 2022), and co-organizer of the two editions of the ?International Workshop on Quantum Computing and Artificial Intelligence? at AAAI (the main conference on Artificial Intelligence in the World). He also co-organized the Special Session on Quantum Artificial Intelligence at CEC/WCCI (three editions) and has given three tutorials on ?Introduction to Quantum Optimization? at GECCO. He is the director of an online course on Quantum artificial intelligence at the General Foundation of the University of Malaga and participates as lecturer in a course on quantum computing at the University of Malaga. 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 Prof. Enrique Alba University of M?laga (SPAIN) AIDA AI Excellence Lecture Series Committee Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From gwchapm at sandia.gov Fri Dec 12 14:34:04 2025 From: gwchapm at sandia.gov (Chapman, William) Date: Fri, 12 Dec 2025 19:34:04 +0000 Subject: Connectionists: Multiple Postdoctoral Openings in Neuromorphic Computing and Computational Neuroscience Message-ID: The Department of Cognitive and Emerging Computing at Sandia National Laboratories (http://neuroscience.sandia.gov) is excited to announce we are searching for multiple postdoctoral researchers, broadly in the area of neuromorphic engineering and computational neuroscience. The team has a newly awarded 3-year project to investigate the interplay of biologically inspired and generative artificial intelligence algorithms with neuromorphic platforms. Our group has several of the largest neuromorphic platforms in the world, including recently announced 1-Billion neuron Loihi 2, and Spinnaker2 systems. We aim to utilize these resources and cross-disciplinary expertise to design next generation neurally inspired AI approaches. We welcome both recent graduates, and those who are nearing their thesis defense. To apply, or for more information on Sandia and the specific positions, please navigate to https://www.sandia.gov/careers/ and search for one of the following three openings, according to your research interests and expertise: 696457 - Neuromorphic Codesign: Focusing on computer architecture for emerging neuromorphic platforms. 696476 - Computer Science and AI Theory: Focusing on generative AI models, theory, and translation to neuromorphic-compatible forms. 696477 - Computational Neuroscience: Focusing on translating computational neuroscience findings and approaches into NeuroAI for novel algorithms. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Dec 14 15:34:16 2025 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 14 Dec 2025 22:34:16 +0200 Subject: Connectionists: World wide VVTNS series (6th season): Wednesday, December 17, 2025, at 11:00 am ET - Jakob Macke Tubingen University In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture Jakob Macke Tubingen University on the topic of *Learning mechanistic models that link cells, circuits, and computations* The lecture will be held on zoom on December 17, 2025, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Modern experimental techniques now reveal the structure and function of neural circuits at unprecedented scale and resolution. How can we use this wealth of data to understand how cells and circuits implement computations underlying behaviour? Achieving this goal requires models that are consistent with biophysical mechanisms and circuit dynamics, yet flexible enough to capture behaviourally relevant computations. We develop simulation-based machine learning methods that address this challenge. I will show how these approaches?in combination with connectomic measurements?make it possible to build large-scale mechanistic models of the fruit fly visual system. Our methods generalize across systems and scales, defining a new way to study biological systems by algorithmically learning interpretable models that reveal how structure and dynamics gives rise to behaviour. *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 gualtiero.volpe at unige.it Fri Dec 12 17:16:11 2025 From: gualtiero.volpe at unige.it (Gualtiero Volpe) Date: Fri, 12 Dec 2025 23:16:11 +0100 (CET) Subject: Connectionists: ACM ICMI 2026: Call for Workshops Message-ID: <1460760324.14.1765577771187@localhost> ICMI 2026 CALL FOR WORKSHOPS ============================================ 5-9 October 2026, Napoli - Italy https://icmi.acm.org/2026/ ============================================ The 28th ACM International Conference on Multimodal Interaction (ICMI 2026) will be held in Napoli, Italy, between 5-9 Oct 2026. ICMI is the premier international conference for multidisciplinary research on multimodal human-human and human-computer interaction analysis, interface design, and system development. ICMI has developed a tradition of hosting workshops in conjunction with the main conference to foster discourse on new research, technologies, social science models, and applications. Examples of recent workshop topics include: * Generation and Evaluation of Non-verbal Behaviour for Embodied Agents * Exploring Innovative Technology for Commensality and Human-Food Interaction * Eye Tracking for Multimodal Human-Centric Computing * Multimodal Co-Construction of Explanations with XAI * Bridging Social Sciences and AI for Understanding Child Behavior * Automated Assessment of Pain * Multimodal e-Coaches * Modeling Cognitive Processes from Multimodal Data * Insights on Group & Team Dynamics * Cross-Cultural Multimodal Interaction (CCMI) We are seeking workshop proposals on emerging research areas related to the main conference topics and those that focus on multi-disciplinary research. We would also strongly encourage workshops that will include a diverse set of keynote speakers (factors to consider include: gender, ethnic background, institutions, years of experience, geography, etc.). The content of accepted workshops is under the control of the workshop organizers. Workshops may be of half-day or one-day duration. Workshop organizers will be expected to manage the workshop content, solicit submissions, be present to moderate the discussion and panels, invite experts in the domain, conduct the reviewing process, and maintain a website for the workshop. Workshop papers will be indexed by ACM Digital Library in an adjunct proceedings, and a short workshop summary by the organizers will be published in the main conference proceedings. If you are a representative of an institution or company that may be interested in sponsoring a workshop on a particular topic, or sending a speaker to a relevant workshop, please contact the workshop chairs, who can act as a liaison. -> Submission Prospective workshop organizers are invited to submit proposals in PDF format (Max. 3 pages). The proposal should include the following: * Workshop title * List of organizers including affiliation, email address, and short biographies * Workshop motivation (and history), expected outcomes and impact * Tentative list of keynote speakers * Workshop format (by invitation only, call for papers, etc.) and anticipated number of talks/posters * Workshop duration (half-day or full-day), including tentative program * Planned advertisement means, website hosting, and estimated participation * Paper review procedure (single/double-blind, internal/external, solicited/invited-only, pool of reviewers, etc.) * Paper submission and acceptance deadlines * Special space and equipment requests, if any -> Important Dates and Contact Details * Submission Deadline: January 16th, 2026 * Notification of Acceptance: February 13th, 2026 * Workshop Dates: October 5th and 9th, 2026 Proposals should be submitted via PCS at this link https://new.precisionconference.com/icmi26/. ICMI organization will provide the rooms, coffee and lunch for participants, and one free registration for a speaker or organizer to each workshop. Feel free to contact the workshop chairs for any further questions. ============================================ TUTORIALS ============================================ ACM ICMI 2026 will host half-day tutorials on context and cultural awareness for multimodal interaction as well as on emerging topics within the scopes of multimodal AI and social interaction. A formal call for tutorial proposals will be issued in March, but for the first time, we invite the community to indicate which tutorial topics they would most like to see. This will help prospective proposers understand what the community considers most relevant. Please complete this short form. https://docs.google.com/forms/d/e/1FAIpQLScQfyR6rHijr25CCBUP5tA4LhgEC4IoBfNdOBqgMZwn-nLrEQ/viewform Prospective organizers are also encouraged to contact the co-chairs, Prof. Marco Cristani and Prof. Tsvi Kuflik (icmi2026-tutorials-chairs at acm.org), if they have any questions. From david at irdta.eu Sat Dec 13 05:03:20 2025 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 13 Dec 2025 11:03:20 +0100 (CET) Subject: Connectionists: DeepLearn 2026: early registration January 5 Message-ID: <1285153813.105326.1765620200852@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: January 5, 2026 ****************************************************** 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 Yan Liu (University of Southern California), [intermediate] Time Series Foundation Models: From Forecasting to Reasoning Zhijin Qin (Tsinghua University), [intermediate/advanced] Semantic Communications Aarti Singh (Carnegie Mellon University), [intermediate] Human Centered AI: Challenges and Opportunities Ivor Tsang (A*STAR Centre for Frontier AI Research), [introductory/intermediate] Long-Horizon Agentic Intelligence 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 emergingtechnetwork.publicity at gmail.com Sun Dec 14 20:29:42 2025 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Mon, 15 Dec 2025 04:29:42 +0300 Subject: Connectionists: The IEEE co-sponsored 2nd International Conference on Artificial Intelligence Systems (AIS 2026) , 12 - 15 May, 2026 | San Antonio, USA. Message-ID: [Apologies if you got multiple copies of this invitation] *The 2nd International Conference on Artificial Intelligence Systems (AIS 2026*) *Hybrid Event* *https://ais-conference.org/2026/ * *12 - 15 May, 2026 | San Antonio, USA.* *Technically Co-Sponsored by IEEE Lone Star Section* *AIS 2026 CFP:* Artificial Intelligence (AI) systems are computational frameworks designed to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. These systems integrate algorithms, data, and computing power to enable machines to adapt and improve their performance over time. AI systems encompass a wide range of technologies, including machine learning, natural language processing, computer vision, and autonomous robotics, and they are increasingly applied in domains such as healthcare, finance, cybersecurity, transportation, and smart cities. As they continue to evolve, AI systems are not only transforming industries and enhancing human capabilities but also raising important considerations around ethics, transparency, and trustworthiness. The International Conference on Artificial Intelligence Systems (AIS 2026) aims to bring together leading researchers, academics, and practitioners from around the world to share their latest findings, innovations, and applications in Artificial Intelligence and intelligent systems. AIS 2026 provides a premier interdisciplinary platform for presenting advances and exchanging insights on the theoretical foundations, cutting-edge technologies, and real-world implementations of AI. AIS 2026 will feature keynote talks, technical paper sessions, workshops, and tutorials covering a wide range of AI topics. We invite submissions of high-quality research papers describing original and unpublished results in all areas of Artificial Intelligence Systems. addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems with special interest in but not limited to: ? Machine Learning and Data-Driven Systems ? Natural Language and Multimodal AI Systems ? Generative AI, Foundation Models, and Large Language Models ? Computer Vision, Image and Video Processing ? Artificial Intelligence Systems Applications ? Artificial Intelligence Systems Security ? Computational Language and Human-Centered Systems ? Prompt Engineering and Fine-tuning ? Multimodal LLMs Systems ? Agentic AI Systems *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the AIS Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers must follow the IEEE paper format. And include up to 7 keywords. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be up to 6 pages. *Important Dates:* - *Paper submission deadline: 31 January 2026* - Notification of acceptance: 25 March 2026 - Camera-ready Submission: 10 April 2026 *Contact:* Please send any inquiry on AIS to: info at gaclm.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From mario.pavone at unict.it Sat Dec 13 02:40:52 2025 From: mario.pavone at unict.it (Mario Francesco Pavone) Date: Sat, 13 Dec 2025 07:40:52 +0000 Subject: Connectionists: Learning and Optimization under Uncertainty for Dynamic Autonomous Navigation @ LION20 Message-ID: Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. ********************************************************* Learning and Optimization under Uncertainty for Dynamic Autonomous Navigation Special Session @ LION20 June 15-19, 2026, Milan, Italy https://www.lion20.org/ ********************************************************* ** Full papers (long & short) deadline: February 1, 2026 ** Dynamic autonomous navigation is a challenging problem at the intersection of optimization, machine learning, and artificial intelligence. Real-world applications, such as robotics, autonomous vehicles, and, in general, exploration of unknown or evolving environments require intelligent agents to adapt in real time to incomplete information, uncertain dynamics, and limited resources. This special session focuses on novel models, algorithms, and learning-based approaches to address uncertainty and complexity in autonomous navigation, and covering both theoretical developments and practical implementations, it aims to advance the understanding of how optimization and learning can effectively address the challenges of dynamic, uncertain, and multi-agent navigation scenarios. #Topics of Interest (but not limited to): * Learning-based optimization for uncertain/dynamic environments * Real-time and adaptive decision-making * Hybrid optimization & machine learning frameworks * Reinforcement learning and probabilistic models for navigation * Multi-agent coordination & collective intelligence * Robust and scalable techniques for hard optimization problems * Performance evaluation, benchmarking, algorithm selection * Applications in robotics, transportation, disaster response, smart infrastructures #Submission Please follow the official LION20 submission guidelines: https://www.lion20.org/submissions All papers will undergo standard peer review. Accepted papers will appear in the LION20 proceedings. #Organizers * Carolina Crespi (University of Catania) - carolina.crespi at unict.it * Alessio Mezzina (University of Catania) - alessio.mezzina at phd.unict.it * Mario Pavone (University of Catania) - mpavone at dmi.unict.it --? Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer?Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 mobile: +39 3384342147 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ https://www.facebook.com/groups/MetaheuristicsSchool/ ========================================= Complex Intelligent Systems Research Group http://cis-lab.dmi.unict.it https://www.facebook.com/CIS.ResearchGroup complexintelligentsystems at gmail.com ========================================= From efipatm at gmail.com Mon Dec 15 03:34:31 2025 From: efipatm at gmail.com (Efi P) Date: Mon, 15 Dec 2025 10:34:31 +0200 Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Prof. Francisco Chicano (University of Malaga): "Quantum Computing and Artificial Intelligence", December 16, 2025 - 17:00 CET Message-ID: Dear AI scientist/engineer/student/enthusiast, Prof. Francisco Chicano (University of Malaga) will deliver the e ? lecture: "*Quantum Computing and Artificial Intelligence*": *Abstract*: Quantum computing and artificial intelligence are two disciplines with great scientific prominence today. The promises of the former and the major advances of the latter are each causing a scientific and technological revolution. But what can these two disciplines do together? In this talk, we will explore how artificial intelligence problems can be solved using quantum computers and how classical artificial intelligence can support quantum computing. We will review recent advances at the intersection of quantum computing and artificial intelligence and discuss some current challenges and limitations. *Details* *?** Date: 16 December 2025* *?** Time*: *17:00-18:00 CET* *?* *Zoom link * *Meeting ID: **945 0688 9150* *Passcode: 114050* *?** For more information, click **here * *Lecturer Short CV: *Francisco Chicano is Full Professor at the University of Malaga (Spain). He has more than 150 publications and has been awarded with 6 best paper awards in international conferences. Dr. Chicano is (or has been) involved in 10 national projects, 3 European projects, 2 regional project (Junta de Andaluc?a), 5 local projects (Universidad de M?laga), and 17 transference contracts with companies and institutions. He has supervised 4 PhD thesis and is currently supervising 4 PhD thesis. He is in the editorial board of four journals related to Artificial Intelligence and Software Engineering and had important editorial roles in international conferences like GECCO, EvoCOP, and FOGA. He is currently Secretary of ACM Special Interest Group on Evolutionary Computation (SIGEVO), which organizes GECCO (main conference in EC in the world) and FOGA conferences, and Treasurer of the SPECIES Society, organizer of the Evostar conferences. Dr. Chicano has made contributions to the fields of combinatorial optimization, AI applied to Software Engineering and, more recently, quantum computing. In Quantum Optimization, Dr. Chicano is co-founder and co-organizer of the Workshop on Quantum Optimization at the Genetic and Evolutionary Computation (since 2022), and co-organizer of the two editions of the ?International Workshop on Quantum Computing and Artificial Intelligence? at AAAI (the main conference on Artificial Intelligence in the World). He also co-organized the Special Session on Quantum Artificial Intelligence at CEC/WCCI (three editions) and has given three tutorials on ?Introduction to Quantum Optimization? at GECCO. He is the director of an online course on Quantum artificial intelligence at the General Foundation of the University of Malaga and participates as lecturer in a course on quantum computing at the University of Malaga. 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 Prof. Enrique Alba University of M?laga (SPAIN) AIDA AI Excellence Lecture Series Committee Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From bpaassen at techfak.uni-bielefeld.de Mon Dec 15 03:56:47 2025 From: bpaassen at techfak.uni-bielefeld.de (Benjamin Paassen) Date: Mon, 15 Dec 2025 09:56:47 +0100 Subject: Connectionists: Call for Papers: IJCNN Special session on Reservoir Computing for Scalable and Energy-Efficient AI: Theory, Dynamics, and Implementations Message-ID: Dear colleagues, we cordially invite you to submit to our IJCNN special session on Reservoir Computing for Scalable and Energy-Efficient AI: Theory, Dynamics, and Implementations. Key Dates: - Paper submission deadline: January, 31th 2026 (AoE) - Decision notification: March, 15th 2026 Description and Topics Reservoir Computing (RC) has established itself as an efficient and versatile approach for training and designing recurrent neural networks (RNNs), offering powerful capabilities in processing temporal and spatio-temporal data without the heavy computational demands of conventional deep learning models. As modern artificial intelligence increasingly moves toward large-scale, low-latency, and energy-efficient computation, the relevance of RC extends to a broad range of applications, including signal processing, robotics, neuroscience, and edge computing. The growing interest in hardware-aware and resource-constrained AI also reinforces the importance of RC as a framework for neuromorphic and embedded intelligence. However, to fully meet the challenges posed by scalability, robustness, and efficiency, RC requires new advances in theory, model design, and implementation strategies. The goal of this special session is to promote progress in Reservoir Computing by addressing its theoretical, algorithmic, and hardware dimensions. The first objective is to deepen the theoretical understanding of the dynamical principles that govern stability, adaptability, and generalization in reservoir systems, particularly in the context of large-scale and heterogeneous data. The second objective is to foster the development of hybrid architectures that combine RC with modern deep learning approaches (such as convolutional, graph-based, or hierarchical models) to extend its reach to complex spatio-temporal domains. The third goal is to explore efficient and energy-aware hardware realizations of RC, leveraging advances in neuromorphic, photonic, and spintronic technologies for real-time, low-power computation. We invite researchers to submit papers on all aspects of RC research, targeting contributions on theory, models, and applications. A list of topics relevant to this session includes, but is not limited to, the following: -Theoretical foundations of Reservoir Computing, including stability analysis, expressivity, generalization, and memory?capacity characterizations -Dynamical systems theory for reservoir design, adaptation, and analysis -Novel reservoir architectures: structured, modular, deep, hierarchical, multiscale, or hybrid with modern deep learning paradigms -Learning algorithms for reservoir systems, including gradient-based, constrained, biologically inspired, or unsupervised/self-supervised approaches -Training and adaptation of recurrent dynamics: online learning, continual learning, meta-learning, and federated settings in RC -Reservoir Computing for high-dimensional spatio-temporal data, including images, video, physical processes, and graph-structured domains -Hardware-oriented RC: neuromorphic, photonic, spintronic, analog, and mixed-signal implementations; co-design of models and substrates -Energy-efficient and resource-aware RC for embedded, edge, or on-device intelligence -Physical reservoirs and in-materio computing for machine learning -Reservoir Computing in computational neuroscience and brain-inspired modeling -Robustness, scalability, and reliability of reservoir systems in real-world environments -Applications of Reservoir Computing across scientific, industrial, and societal domains, including robotics, system identification, forecasting, signal processing, geoscience, and biomedical data analysis Submission As in recent editions, the review process for IJCNN 2026 will be double-blind. Page limit for full papers: up to 6 pages; notice that a maximum of two extra content pages per full paper is allowed (i.e, up to 8 pages), at an additional charge per extra page as specified in the registration page of the conference. Please note that ORCID will be required for each author of the paper. Full authors' instructions can be found at the following link: https://attend.ieee.org/wcci-2026/information-for-authors/ Further information on the submission process can be found at the following link: https://attend.ieee.org/wcci-2026/submissions/ Link to submission system: https://ssl.linklings.net/conferences/WCCI/ Note that to submit to this special session, you need to create a new submission (Make a New Submission tab) and select the track IJCNN SS27 Reservoir Computing for Scalable and Energy-Efficient AI: Theory, Dynamics, and Implementations. Best regards, Benjamin Paassen (Bielefeld University, Germany) Gouhei Tanaka (Nagoya Institute of Technology, Japan) Andrea Ceni (University of Pisa, Italy) Claudio Gallicchio (University of Pisa, Italy) Special Session Organizers -- Jun. Prof. Benjamin Paa?en Knowledge Representation and Machine Learning Faculty of Technology Bielefeld University preferred pronouns: they/them Office: CITEC 1.220 Inspiration 1 33619 Bielefeld Germany Tel: +49 521 106 87838 e-mail: bpaassen at techfak.uni-bielefeld.de website: bpaassen.gitlab.io From announce at ucy.ac.cy Mon Dec 15 07:29:37 2025 From: announce at ucy.ac.cy (Announce) Date: Mon, 15 Dec 2025 12:29:37 +0000 Subject: Connectionists: The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): Last Mile for Posters and Demos Submissions Message-ID: *** Last Mile for Posters and Demos Submissions *** 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 luigi.darco at unina.it Mon Dec 15 15:33:55 2025 From: luigi.darco at unina.it (Luigi D'Arco) Date: Mon, 15 Dec 2025 21:33:55 +0100 Subject: Connectionists: Invitation to the Spring School on Machine Learning and Perception for Social Awareness References: Message-ID: Dear all, We are delighted to invite you to the?Spring School on Machine Learning and Perception for Social Awareness,?taking place on?13?16 April 2026?in?Catania, Italy. Organized by the?SWEET?project consortium in conjunction with the?TRAIL Conference, this Spring School offers a unique opportunity to deepen your knowledge in?social perception for service robotics,?with a special emphasis on cutting-edge machine learning, sensing technologies, and algorithmic approaches that enable robots to understand and interact with humans in socially aware ways. The programme features a mix of?lectures and hands-on practical sessions?delivered by?leading figures from academia and industry, such as: ? Prof. Alessandro Vinciarelli?- University of Glasgow ? Prof. Ing. Igor Farka??- Comenius University Bratislava ? Prof. Lorenzo Baraldi?- University of Modena and Reggio Emilia ? Prof. Gabriel Skantze?- KTH Royal Institute of Technology ? Prof. Oya Celiktutan?- King?s College London ? Prof. Antonio Chella?- University of Palermo ? Dr. Anna Belardinelli?- Honda Research Institute ? Prof. Angelo Cangelosi?- University of Manchester ? Dr. Alessandra Sciutti?- Italian Institute of Technology ? Dr. Thomas Weisswange?- Honda Research Institute Participation in the school is free of charge. Participants should cover only all logistical costs, including travel and accommodation expenses. How to Apply: To participate, please send the following documents via email to?infosweet at unina.it?by?February 28, 2026: ? A short Statement of Interest (max 1 page) ? Your current CV ? A Letter of Support from your Tutor/Supervisor Acceptance notifications will be sent out by?15 March 2026. Don?t miss this excellent opportunity to engage with cutting-edge research and expand your expertise in machine learning, perception, and social awareness for robotics! Silvia Rossi and Luigi D?Arco on behalf of the?SWEET consortium -------------- next part -------------- An HTML attachment was scrubbed... URL: From denis.kleyko at gmail.com Mon Dec 15 13:39:31 2025 From: denis.kleyko at gmail.com (Denis Kleyko) Date: Mon, 15 Dec 2025 19:39:31 +0100 Subject: Connectionists: PhD Positions in Neuro-inspired Computing at Orebro University (Sweden) Message-ID: <7FEFBAFD-3FBC-42E6-8E9A-E7C246B3CBC3@gmail.com> The Machine Perception and Interaction Lab invites applications for up to two PhD positions in Neuro-inspired Computing at the Department of Computer Science, Orebro University (Sweden). The project will focus on developing novel neuro-inspired algorithms and their hardware realizations that can make future intelligent systems more efficient and powerful. The successful candidate should demonstrate strong independent problem-solving skills and the ability to think critically. Good communication and collaboration skills are also required. Courses, a thesis, or publications in any of the following areas will be considered a merit: digital signal processing, electrical engineering, computer vision, machine learning, artificial intelligence, cognitive science, neuromorphic computing, or robotics. The position offers competitive working conditions, and a generous travel budget is available. University of Registration: Orebro University (Sweden) Application deadline: January 16, 2026. To apply, follow the link: https://www.oru.se/english/career/available-positions/job/?jid=20250376 Project Outline: Today?s intelligent systems rely on massive datasets and large-scale computing infrastructure, which limits who can use them and where they can be deployed. In contrast, biological brains achieve remarkable intelligence while running on only a few watts of power. This project draws inspiration from these biological principles to rethink how intelligent systems represent information, perform computations, and physically implement their algorithms. A key research direction will be the exploration of high-dimensional neural representations that can support continual learning and reasoning. These representations are compatible with emerging computing hardware such as neuromorphic chips and in-memory computing devices. By integrating these ideas, the project aims to expand the algorithmic capabilities of intelligent systems, reduce computational costs, and tightly bridge the gap between software and hardware design. As a doctoral student, you will work on developing a framework that connects new learning algorithms with their physical implementation, targeting emerging computing hardware. You will also evaluate these ideas in real-world domains such as signal processing and combinatorial optimization, where efficient solutions can have major societal and industrial impact. This project offers an opportunity to work at the frontier of artificial intelligence, computational neuroscience, neuro-inspired computing, and emerging hardware technologies. If you are excited by fundamental research with the potential to rethink how intelligent systems are built, this project is for you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From memming.park at research.fchampalimaud.org Mon Dec 15 13:21:21 2025 From: memming.park at research.fchampalimaud.org (I. Memming Park) Date: Mon, 15 Dec 2025 18:21:21 +0000 Subject: Connectionists: Fully funded Neuroscience PhD program at Champalimaud Foundation Message-ID: Applications are now open for the *International Neuroscience Doctoral Programme (INDP)* at Champalimaud Foundation, Lisbon, Portugal. *Deadline for application: Jan 31, 2026* https://fchampalimaud.org/champalimaud-research/education/indp The programme includes an initial year of classes + three lab rotations. We seek motivated applicants from all areas of neuroscience, as well as physics, math, stats, computer science, electrical/biomedical engineering, and related quantitative backgrounds. *English is the working language.* The research at CF ranges from systems neuroscience, computational/theoretical neuroscience, and motor/clinical neuroscience, to neocybernetics, neuroethology, and natural intelligence. To learn more about the culture and value of Champalimaud Research, check out: https://www.fchampalimaud.org/about-cr Sincerely, Memming Park --- Group Leader, Champalimaud Centre for the Unknown, Lisbon, Portugal Neural Dynamics = CATNIP Lab http://catniplab.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Mon Dec 15 13:24:37 2025 From: cgf at isep.ipp.pt (Carlos) Date: Mon, 15 Dec 2025 18:24:37 +0000 Subject: Connectionists: CFP: 4th World Conference on eXplainable Artificial Intelligence Message-ID: <0f213814-c46a-4a76-88dc-0531474596cb@isep.ipp.pt> XAI World Conference 2026 Call for Papers The World Conference on Explainable Artificial Intelligence is an annual event that aims to bring together researchers, academics, and professionals, promoting the sharing and discussion of knowledge, new perspectives, experiences, and innovations in the field of Explainable Artificial Intelligence (xAI). This event is multidisciplinary and interdisciplinary, bringing together academics and scholars of different disciplines, including Computer Science, Psychology, Philosophy, Law and Social Science, to mention a few, and industry practitioners interested in the practical, social and ethical aspects of the explanation of the models emerging from the discipline of Artificial Intelligence (AI). The conference organisation encourages submissions related to explainable AI and contributions from academia, industry, and other organisations discussing open challenges or novel research approaches related to the explainability and interpretability of AI systems. Topics include, and are not limited to: - Technical methods for XAI - Ethical Considerations for XAI - Psychological Notions & concepts for XAI - Social examinations of XAI - Legal & administrative considerations of/for XAI - Safety & security approaches for XAI - Applications of XAI-based systems Webpage for the CFP: https://xaiworldconference.com/2026/call-for-papers/ 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 claudio.piciarelli at uniud.it Tue Dec 16 05:27:01 2025 From: claudio.piciarelli at uniud.it (Claudio Piciarelli) Date: Tue, 16 Dec 2025 10:27:01 +0000 Subject: Connectionists: VisionDocs @ WACV 2026 - Extended deadline In-Reply-To: References: Message-ID: [Apologies if you receive multiple copies] =================================== CALL FOR PAPER: VisionDocs @ WACV2026 (Extended Deadline) Website: https://sites.google.com/view/avml-lab-visiondocs-wacv2026/home =================================== We are glad to announce VisionDocs: 3rd Workshop on Computer Vision Systems for Documents Analysis and Recognition, in conjunction with the "IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026", to be held in Tucson, Arizona, on March 6, 2026. Workshop Overview: This workshop aims to encourage the development of new strategies to address the limitations of current document analysis systems, such as handling low-data environments, adapting to document classes with highly heterogeneous visual characteristics, and integrating multi-modal inputs for improved performance. Call for papers: Research papers are solicited in, but not limited to, the following topic areas: * Document image processing * Physical and logical layout analysis * Text and symbol recognition * Handwriting recognition * Document analysis systems * Document layout analysis * Document classification * Multimedia document analysis * Recognition of tables and formulas * Document forensics and provenance * Medical document analysis * Data-efficient document analysis * Indexing and retrieval of documents * Document synthesis * Document visual question answering * Extracting document semantics * Graphics recognition * Structured document generation * Historical document analysis * Document summarization and translation * Document analysis for social good * Multi-modal document analysis * Multi-modal document generation * Datasets and benchmarks for document analysis Important Dates * Paper submissions (no more extensions!): Dec 23, 2025 11:59 PM PST * Author Notification: Jan 02, 2026 11:59 PM PST * Camera-ready: Jan 09, 2026 11:59 PM PST * Workshop date: March 6, 2026 For any additional information, please visit the website: https://sites.google.com/view/avml-lab-visiondocs-wacv2026/home Contact mail: visiondocs.organizers at gmail.com The VisionDocs Organizers: Axel De Nardin, Silvia Zottin, Silvia Cascianelli, Claudio Piciarelli, Gian Luca Foresti -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomg at princeton.edu Tue Dec 16 09:58:29 2025 From: tomg at princeton.edu (Tom Griffiths) Date: Tue, 16 Dec 2025 14:58:29 +0000 Subject: Connectionists: Postdoctoral and Research Software Engineer positions at Princeton Message-ID: <4EF89DD8-B803-4C38-903D-AB50E8E0BFB5@princeton.edu> Dear colleagues, Princeton's AI Lab is advertising positions for AI Postdoctoral Fellows in two areas: studying natural and artificial minds, and designing, understanding or engineering large AI models. We are also searching for a Lead Research Software Engineer. Links: Natural and Artificial Minds postdoc: https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=41061 Princeton Language and Intelligence postdoc: https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=40281 AI Lab Lead Research Software Engineer: https://main-princeton.icims.com/jobs/19506/lead-research-software-engineer/job 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 jessica.gliozzo at unimi.it Tue Dec 16 12:01:22 2025 From: jessica.gliozzo at unimi.it (Jessica Gliozzo) Date: Tue, 16 Dec 2025 17:01:22 +0000 Subject: Connectionists: =?windows-1252?q?Call_for_papers=3A_Collection_?= =?windows-1252?q?=93Graph_Representation_Learning_for_Biomedical_Applicat?= =?windows-1252?q?ions=94_-_Discover_Computing_=28Springer_Nature=2C_Index?= =?windows-1252?q?ed_in_SCIE=29?= Message-ID: We are inviting submissions of original research to the "Graph Representation Learning for Biomedical Applications" Collection in Discover Computing. As Guest Editor, we encourage you to consider this as an opportunity to showcase your work. Discover Computing (previously Information Retrieval Journal, 2023 IF: 1.7; expected first IF under new name in 2026; Indexed in DOAJ, Web of Science?s Science Citation Index Expanded (SCIE) and Scopus with a CiteScore 2024 of 3.2) is an open-access journal and part of the Discover journal series, focused on fast submission and review processes. Submission Deadline: March 31, 2026. If you need more time, feel free to contact us as we may be flexible. How to Submit (here guidelines): * Visit the journal?s online submission system. * Under "Select article type:" choose your article type. * When filling out manuscript details, select this Collection from the collection list under the "Details" tab. * During submission, you can select this Collection from the drop-down menu in step 3. * Mention your interest in the Collection in the cover letter. All submissions are subject to Discover Computing editorial criteria and peer review process and they are subject to all standard journal policies. If accepted for publication, an article processing charge applies (with a standard waiver policy). For more details or questions, feel free to reach out. Also, kindly share this invitation with colleagues who might be interested. We look forward to your contributions! Guest Editors: Giorgio Valentini, Mauricio Abel Soto Gomez (mauricio.soto at unimi.it), Jessica Gliozzo (jessica.gliozzo at gmail.com) -------------- next part -------------- An HTML attachment was scrubbed... URL: From serafeim.perdikis at essex.ac.uk Tue Dec 16 08:07:52 2025 From: serafeim.perdikis at essex.ac.uk (Perdikis, Serafeim) Date: Tue, 16 Dec 2025 13:07:52 +0000 Subject: Connectionists: Essex BCI-NE webinar: Investigating brain interactions: a dual path to understanding and improving BCIs by Dr Marie-Constance Corsi In-Reply-To: References: Message-ID: Dear all, This is a gentle reminder for tomorrow's BCI-NE webinar featureing Dr Marie-Constance Corsi. Best regards, 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 ________________________________ From: Perdikis, Serafeim Sent: Tuesday, December 2, 2025 22:41 To: connectionists at mailman.srv.cs.cmu.edu Subject: Essex BCI-NE webinar: Investigating brain interactions: a dual path to understanding and improving BCIs by Dr Marie-Constance Corsi [cid:ba67120e-9334-4781-9504-a3bede5d81f0] https://www.linkedin.com/company/essex-bcine-lab/ The Essex BCI-NE Lab invites you to join our next monthly webinar: Investigating brain interactions: a dual path to understanding and improving BCIs Delivered by Dr Marie-Constance Corsi (NERV Lab, INRIA Paris, Paris Brain Institute) The webinar will take place over Zoom on Wednesday, 17th December 2025, at 2pm UK time RSVP: https://www.linkedin.com/events/7401719943039422464/ Abstract: Despite promising technological advancements, Brain-Computer Interfaces (BCIs) still face challenges due to inter- and intra-subject variabilities in the ability to control such systems. Moreover, the neural mechanisms underlying BCI performance and training remain poorly understood. In this talk, I will present our recent findings on the use of brain interactions in BCIs, and in particular, how this enriched information can be used to both understand and improve BCIs. Speaker Biography: Dr Marie-Constance Corsi is an INRIA research scientist at Paris Brain Institute in the NERV Lab. Her research currently focuses on the development of tools to address the ?Brain-Computer Interface (BCI) inefficiency? issue, reflected by a non-negligible portion of users who cannot control the device even after extensive training. She essentially considers two main approaches: the search for neurophysiological markers of BCI training and the integration of multimodal data to enrich the information provided to the classifier. In 2025, she received the Early Career Award from the International BCI Society. She has previously served as secretary general of the French academic association promoting the advances in BCI, called CORTICO, and as co-chair of the Postdocs and Students Committee of the BCI Society. 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: image.png Type: image/png Size: 237153 bytes Desc: image.png URL: From dhansel0 at gmail.com Tue Dec 16 16:22:34 2025 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 16 Dec 2025 23:22:34 +0200 Subject: Connectionists: REMINDER: World wide VVTNS series (6th season): Wednesday, December 17, 2025, at 11:00 am ET - Jakob Macke Tubingen University In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture Jakob Macke Tubingen University on the topic of *Learning mechanistic models that link cells, circuits, and computations* The lecture will be held on zoom on December 17, 2025, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Modern experimental techniques now reveal the structure and function of neural circuits at unprecedented scale and resolution. How can we use this wealth of data to understand how cells and circuits implement computations underlying behaviour? Achieving this goal requires models that are consistent with biophysical mechanisms and circuit dynamics, yet flexible enough to capture behaviourally relevant computations. We develop simulation-based machine learning methods that address this challenge. I will show how these approaches?in combination with connectomic measurements?make it possible to build large-scale mechanistic models of the fruit fly visual system. Our methods generalize across systems and scales, defining a new way to study biological systems by algorithmically learning interpretable models that reveal how structure and dynamics gives rise to behaviour. *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 uai.socials at gmail.com Tue Dec 16 12:15:08 2025 From: uai.socials at gmail.com (UAI Social Media) Date: Tue, 16 Dec 2025 17:15:08 +0000 Subject: Connectionists: [CFP] UAI2026 - 42nd Conference on Uncertainty in AI - deadline Feb 25 Message-ID: Dear all, We are pleased to announce that the 42nd edition of the Conference on Uncertainty in Artificial Intelligence (UAI 2026) will be held in Amsterdam, the Netherlands, on these dates: - Tutorials: Monday, August, 17th, 2026 - Main conference: Tuesday, August 18th to Thursday, August 20th, 2026 - Workshops: Friday, August, 21st, 2026 We invite papers that describe novel theory, methodology and applications related to artificial intelligence, machine learning and statistics. Papers will be assessed in a rigorous double-blind peer-review process, based on the criteria of technical correctness, novelty, whether claims are backed up convincingly, and clarity of writing. Authors are strongly encouraged to make code and data available. All accepted papers will be presented in poster sessions and spotlight presentations (physically or remotely). Selected papers will have longer presentations. All accepted papers will be published in a volume of Proceedings of Machine Learning Research (PMLR) . Important dates for authors: - January 25th, 2026 (23:59 AoE): Paper submission starts - February 25th, 2026 (23:59 AoE): Paper submission deadline - April 23rd to May 2nd, 2026: Author response and discussion period - June 1st, 2026 (23:59 AoE): Author notification Papers can be submitted on the UAI 2026 OpenReview submission site. Please see the Submission Instructions for more details on how your manuscript should be formatted. We are looking forward to seeing you in Amsterdam! On behalf of Emilija Perkovi? and Daniel Malinsky UAI 2026 Program Chairs uai2026chairs+program at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From ckalalas at cttc.es Tue Dec 16 06:15:29 2025 From: ckalalas at cttc.es (Charalampos Kalalas) Date: Tue, 16 Dec 2025 12:15:29 +0100 Subject: Connectionists: Postdoctoral position on anomaly/novelty detection available at CTTC (Spain) Message-ID: The Sustainable Artificial Intelligence (SAI) research group at the Centre Tecnol?gic de Telecomunicacions de Catalunya (CTTC) invites applications for a *2-year postdoc position*, with a tentative start date in the first quarter of 2026. The successful candidate will work on developing physics-guided learning and operator-theoretic system identification methods for the detection and identification of inherently challenging anomalies in complex dynamical systems. The goal is threefold: 1. _Detect and identify sophisticated events occurring during transient system conditions_: Enhance the reliability of anomaly detection, e.g., by properly distinguishing between naturally caused disturbances and adversarial actions. 2. _Improve domain generalization_: Efficient detection of previously unseen and unknown anomalies will be a first step towards higher-order cognition and reasoning, addressing the black-box nature and the brittleness of conventional detection schemes. 3. _Reduce the training data volume and computational overhead_: In stark contrast to conventional detection schemes, resource-efficient detection would alleviate the need for a considerable amount of training data to obtain effective outcomes. The developed learning methods may have direct applicability to anomaly/novelty detection problems across several verticals, including vehicular networks, industrial automation systems, environmental modeling, and robotics. *More information and application instructions*: https://www.cttc.cat/job/call-29-2025-1-post-doc-research-position/ Application deadline: *January 15^th , 2026.* -- *Charalampos Kalalas, PhD* Senior Researcher Sustainable Artificial Intelligence (SAI) Research Unit Centre Tecnol?gic de Telecomunicacions de Catalunya (CTTC) Av. Carl Friedrich Gauss, 7 - Building B4 - Office 1.02 08860 - Castelldefels Tel.: +34 93 645 29 00 Ext.: 2190 _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. 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 papaleon at sch.gr Tue Dec 16 08:44:28 2025 From: papaleon at sch.gr (Papaleonidas Antonios) Date: Tue, 16 Dec 2025 15:44:28 +0200 Subject: Connectionists: Springer CFP, AIAI 2026 / EANN - EAAAI 2026 @ Crete, Greece Joint conferences References: <1ca0301dc5ebd$489a8bb0$d9cfa310$@civil.duth.gr> Message-ID: <001201dc6e92$19c2a720$4d47f560$@sch.gr> Dear colleagues We would like to invite you to submit your work at the 22nd International Conference on Artificial Intelligence Applications and Innovations (AIAI 2026) and/or at the 27th International Conference on Engineering Applications of Neural Networks / Advances of Artificial Intelligence (EANN / EAAAI 2026). 22nd AIAI & 27th EANN / EAAAI joint hybrid events 16 - 19 July 2026 Full Hybrid @ Web & MAICh, Chania - Crete, Greece https://ifipaiai.org/2026/ & https://eannconf.org/2026/ Paper submission is open! 22nd International Conference on Artificial Intelligence Applications and Innovations, AIAI 2026, is technically sponsored by IFIP Artificial Intelligence Applications WG12.5, while 27th International Conference on Engineering Applications and Advances of Artificial Intelligence EAAAI 2026, (ex EANN series), is technically sponsored by the INNS (International Neural Network Society). HYBRID EVENTS Both events will be held as fully hybrid conferences. All participants will be able to present their work and fully attend the conference no matter if they are in the conference venue or at their office or home. Proceedings will be published SPRINGER IFIP AICT Series for AIAI conference and by SPRINGER CCIS book series for EANN/ EAAAI conference. Submission details and instructions can be found at AIAI web site and EANN/ EAAAI web site. BIBLIOMETRIC DETAILS We proudly announce that according to Springer's statistics, the last 18 AIAI conferences have been downloaded 3,522,000 times, while last 15 EANN / EAAAI conferences have been downloaded more than 1,090,000 times! IFIP AIAI series has reached h-index of 44 while EANN / EAAAI series reached h-index of 32. Published papers have been Cited more than 21.000 times! For more Bibliometric Details please click AIAI BIBLIOMETRIC DETAILS or EANN / EAAAI BIBLIOMETRIC DETAILS IMPORTANT DATES * Deadline for Workshops/Special Sessions Proposals: 31st of December 2025 * Paper Submission Deadline: 28th of February 2026 * Notification of Acceptance: 19th of April 2026 * Camera ready Submission: 8th of May 2026 * Early / Authors Registration Deadline: 8th of May 2026 * Conference: 16 - 19 of July 2026 SUBMISSION INSTRUCTIONS * https://ifipaiai.org/2026/paper-submission/ * https://eannconf.org/2026/paper-submission/ Conference topics, CFPs, Submissions & Registration details can be found at: * https://ifipaiai.org/2026/call-for-papers/ * https://ifipaiai.org/2026/paper-submission/ * https://ifipaiai.org/2026/registration/ and * https://eannconf.org/2026/call-for-papers/ * https://eannconf.org/2026/paper-submission/ * https://eannconf.org/2026/registration/ We are expecting Submissions on all topics related to Artificial and Computational Intelligence and their Applications. Detailed Guidelines on the Topics and the submission details can be found at the links above. On behalf of AIAI / EANN / EAAAI 2026 committees Papaleonidas Antonios Program and Organizing co-Chair of AIAI / EANN / EAAAI 2026 -------------- next part -------------- An HTML attachment was scrubbed... URL: From drrajendrakumarlko at gmail.com Tue Dec 16 05:04:30 2025 From: drrajendrakumarlko at gmail.com (Dr. Rajendra Kumar) Date: Tue, 16 Dec 2025 15:34:30 +0530 Subject: Connectionists: Fwd: Request to Post FOR BOOK- CALL FOR BOOK CHAPTER | CRC Press (Taylor & Francis Group) - AI-enabled Smart Antenna Design for 6G Wireless Systems In-Reply-To: References: Message-ID: ---------- Forwarded message --------- From: Dr. Rajendra Kumar Date: Sat, 13 Dec 2025 at 14:53 Subject: Fwd: Request to Post FOR BOOK- CALL FOR BOOK CHAPTER | CRC Press (Taylor & Francis Group) - AI-enabled Smart Antenna Design for 6G Wireless Systems To: ---------- Forwarded message --------- From: Dr. Rajendra Kumar Date: Fri, 12 Dec 2025 at 11:15 Subject: Request to Post FOR BOOK- CALL FOR BOOK CHAPTER | CRC Press (Taylor & Francis Group) - AI-enabled Smart Antenna Design for 6G Wireless Systems To: Dear Team, I am writing to request the publication of a post on your reputed portal of a "Call for Book Chapters" for an upcoming edited volume titled "AI-enabled Smart Antenna Design for 6G Wireless Systems" to be published by CRC Press (Taylor & Francis Group) Scopus Indexed. Please find the details for the post below, adhering to your submission guidelines. The official brochure is attached to this email. *[START OF POST CONTENT]* *Call for Chapters: CRC Press (Taylor & Francis) Book on "AI-enabled Smart Antenna Design for 6G Wireless Systems" [No Publication Fees]* *About the Book* We are inviting book chapter submissions for the upcoming edited volume titled "AI-enabled Smart Antenna Design for 6G Wireless Systems" published by CRC Press (Taylor & Francis Group). The book targets Scopus indexing (Indexing is decided after publication). *Concept Note* This edited volume discusses the revolutionary convergence of sixth-generation (6G) wireless technologies and AI-based intelligent antenna systems. Since 6G is expected to provide ultra-low latency, ultra-high data rate, massive connectivity, and sensing-communication integrated paradigms, this book explores how smart antenna systems like reconfigurable intelligent surfaces (RIS), massive MIMO, and beamforming arrays can be optimized and self-managed through AI-based methods like machine learning, deep learning, and reinforcement learning. The book covers core principles, latest research directions, facilitating technologies, and applied examples in 6G and AI-aided antenna design. The subjects are real-time beam adaptation, spectrum sensing, energy-efficient transmission, AI-based antenna array configuration, and coordination with IoT, satellite, and quantum communication systems. *About the Editors* - Dr. Jay Kumar Pandey: Shri Ramswaroop Memorial University, Barabanki, U.P., India. - Dr. Weiwei Jiang: Beijing University of Posts and Telecommunications, China. *Proposed Chapters* Contributors are welcome to submit chapters on the following topics: - Chapter 1: Introduction to 6G Wireless Evolution - Chapter 2: Fundamentals of Smart Antenna Technologies - Chapter 3: Antenna System Challenges in 6G Environments - Chapter 4: Artificial Intelligence in Wireless Communications - Chapter 5: Machine Learning for Beamforming and Direction Finding - Chapter 6: Deep Learning-Based Smart Antenna Adaptation - Chapter 7: Reinforcement Learning for Antenna Configuration - Chapter 8: Reconfigurable Intelligent Surfaces (RIS) and AI Control - Chapter 9: Terahertz Antennas and AI-Driven Optimization - Chapter 10: AI-Enabled Massive MIMO and Cell-Free Systems - Chapter 11: Antenna Array Design Using Evolutionary AI Algorithms - Chapter 12: Movable and Fluid Antenna Systems for 6G Wireless Networks - Chapter 13: AI-Integrated Smart Antennas in IoT and Smart Cities - Chapter 14: AI-Driven Antenna Systems: Applications and Emerging Innovations - Chapter 15: Experimental Platforms, Simulations, and Open Datasets - Chapter 16: Future Trends and Research Challenges in antenna systems *Submission Guidelines* - Word Limit: 7,000?8,000 words (approx. 18-20 pages) including references. - Formatting: Follow standard CRC Press Book Chapter academic formatting guidelines. - Abstract: Include an abstract, keywords, and complete references. - Originality: Chapters must be original and not submitted elsewhere. Plagiarism must be less than 10% (individual sources <5%). - AI Policy: AI-generated content is not acceptable. - Chapter Selection: Chapters should be chosen from the given proposed chapter list only. *Important Dates* - Abstract Submission Deadline: December 25, 2025 - Abstract Acceptance Notification: December 30, 2025 - Full Chapter Submission: January 30, 2026 - Revised Full Chapter Submission: February 10, 2026 - Final Decision: March 1, 2026 *Publication Details & Fees* - Publisher: CRC Press (Taylor & Francis Group). - Fees: There are no publication charges. - Indexing: The book targets Scopus indexing (Indexing is decided after publication). *How to Submit* Interested authors can submit their abstracts via the following link: Submission Link: *https://forms.gle/2as6VLmacTEMrRrBA * *Contact Information* For any queries, please contact the editors via *email at: editedbookjay2 at gmail.com * *Official Brochure* Please refer to the attached official brochure for complete details. *[END OF POST CONTENT]* Thank you for considering this publication opportunity for the community. This call for chapters presents an excellent opportunity for researchers, scholars, and practitioners in wireless communications, antenna design, and artificial intelligence to contribute to cutting-edge research on 6G wireless systems and AI-enabled smart antenna technologies. -- Best regards, *Dr. Jay Kumar Pandey* Assistant Professor Shri Ramswaroop Memorial University Barabanki, U.P., India *Dr. Weiwei Jiang* Beijing University of Posts and Telecommunications China -- Warm regards, *Dr. Rajendra Kumar* Researcher Artificial Intelligence & Law Assistant Professor (Law) *Qualifications:* Ph.D., LL.M., LL.B. (Hons.), UGC-NET *Contact Information:* ? Email: drrajendrakumarlko at gmail.com ? Mobile: +91-9453104883 *Academic Profiles:* ? ORCID: 0000-0002-1194-3157 ? Google Scholar: View Profile ? SSRN (Elsevier): Author Profile ? LinkedIn: Connect with me -- Warm regards, *Dr. Rajendra Kumar* Researcher Artificial Intelligence & Law Assistant Professor (Law) *Qualifications:* Ph.D., LL.M., LL.B. (Hons.), UGC-NET *Contact Information:* ? Email: drrajendrakumarlko at gmail.com ? Mobile: +91-9453104883 *Academic Profiles:* ? ORCID: 0000-0002-1194-3157 ? Google Scholar: View Profile ? SSRN (Elsevier): Author Profile ? LinkedIn: Connect with me -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: jpg_CALL FOR BOOK CHAPTER CRC Press (Taylor & Francis Group) - AI-enabled Smart Antenna Design for 6G Wireless Systems.jpg Type: image/jpeg Size: 537025 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: pdf_CALL FOR BOOK CHAPTER CRC Press (Taylor & Francis Group) - AI-enabled Smart Antenna Design for 6G Wireless Systems.pdf Type: application/pdf Size: 2897082 bytes Desc: not available URL: From matteo.di-volo at univ-lyon1.fr Wed Dec 17 04:31:05 2025 From: matteo.di-volo at univ-lyon1.fr (DI VOLO MATTEO) Date: Wed, 17 Dec 2025 09:31:05 +0000 Subject: Connectionists: Master 2 computational neurosciences, Lyon (France) Message-ID: ***apologies for cross-posting*** Dear colleagues, Applications for non-EU students are now open for the Master 2 in Computational Neuroscineces (CNS) at the University of Lyon (France). See our website for more details: https://masterneuro.univ-lyon1.fr/m2-cns/ The Lyon neurograduate school also offers fully funded scholarships to enrol in the CNS program or in other neurosciences training paths. Deadline : 23/01/2026, more information here : https://neurograduate.univ-lyon1.fr/fellowships/ The CNS program in Lyon trains students in modern computational and analytical methods to study the brain: from the electrical activity of single neurons to neural networks, interacting brain regions, and animal behavior. Students learn the principles of brain function by applying statistics, signal processing, and computational modeling to real neuroscientific datasets, gaining extensive hands-on experience through practical Python-based work. The main objective of CNS is to equip students with the skills and critical perspective needed to design, conduct, and interpret analyses of electrophysiological and behavioral data from a mechanistic point of view. Contact info: Matteo Di Volo (matteo.di-volo at univ-lyon1.fr) and Jeremie Mattout (jeremie.mattout at inserm.fr) -------------- next part -------------- An HTML attachment was scrubbed... URL: From kerkoucheraouf at gmail.com Wed Dec 17 07:48:04 2025 From: kerkoucheraouf at gmail.com (Raouf Kerkouche) Date: Wed, 17 Dec 2025 13:48:04 +0100 Subject: Connectionists: =?utf-8?q?PhD_Position_=E2=80=93_Privacy-Preservi?= =?utf-8?q?ng_Collaborative_Learning_of_Large_Language_Models_Acros?= =?utf-8?q?s_Heterogeneous_Learning_Paradigms?= Message-ID: Dear colleagues, I would like to advertise a PhD position on *Privacy-Preserving Collaborative Learning of Large Language Models Across Heterogeneous Learning Paradigms*, hosted at Inria, the French National Institute for Research in Digital Science and Technology. Inria offers an outstanding international research environment, strong collaborations, and excellent conditions for PhD research. The position is based in Lille, France, a dynamic academic city with a strong research environment, affordable living costs, and excellent connections to Paris, Brussels, and London, making it an attractive place for PhD studies. Full details about the position and the application procedure are available here: https://recrutement.inria.fr/public/classic/fr/offres/2025-09662 Please feel free to share this announcement with interested candidates in your networks. ? Application deadline: 15 January 2026 Best regards, Dr. Raouf KERKOUCHE -------------- next part -------------- An HTML attachment was scrubbed... URL: From gualtiero.volpe at unige.it Wed Dec 17 17:19:11 2025 From: gualtiero.volpe at unige.it (Gualtiero Volpe) Date: Wed, 17 Dec 2025 23:19:11 +0100 (CET) Subject: Connectionists: DEADLINE EXTENSION -- ACM ICMI 2026: Call for Multimodal Grand Challenges Message-ID: <1581940614.22.1766009951562@localhost> ICMI 2026 CALL FOR MULTIMODAL GRAND CHALLENGES !!! DEADLINE EXTENSION !!! ============================================ 5-9 October 2026, Napoli - Italy https://icmi.acm.org/2026/ ============================================ -> THE DEADLINE FOR SUBMISSION IS EXTENDED TO JANUARY 16, 2026 We are calling for teams to propose one or more ICMI Multimodal Grand Challenges. The International Conference on Multimodal Interaction (ICMI) is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The conference's goals are to implement believable, autonomous, adaptive, context-aware Human Computer Interaction (HCI) systems able to infer how organizational, cultural and physical contexts shape individual perception, choices and actions. Such systems, e.g. synthetic agents, robots, avatars or analysis systems act in real-time, sustain dyadic/group interactions and actively cooperate in discussion, decision-making, problem solving, learning/knowledge building. These systems gather information and meanings in the course of everyday activity and build knowledge and practical ability to render the world interpretable while interacting with users attuned to behavioural sequences that underpin collaboration. ICMI Multimodal Grand Challenges aim to inspire new ideas in the ICMI community and create momentum for future collaborative work. Analysis, synthesis, and interactive tasks are all possible. Challenge papers will be indexed in the main proceedings of ICMI. We invite the ICMI community from various fields related to multimodal interaction to collectively define and tackle these scientific Grand Challenges in this domain including but not limited to the following categories: 1. DATA CHALLENGES: gathering new experimental data and theories across a spectrum of disciplines; 2. ALGORITHM CHALLENGES: developing algorithms, models and computational paradigms that may equip machines with human level automaton intelligence; 3. APPLICATION CHALLENGES: implementing HCI systems that enhance quality of life in society and simplify the user access to future telecommunication services; 4. MULTIDISCIPLINARY CHALLENGES: promoting multidisciplinary exchanges, educational initiatives, and new socio-psychological and computational approaches towards socially-emotionally-context-aware Information Communication Technologies (ICT). Prospective organizers should submit a five-page maximum proposal containing the following information: 1. Title 2. Abstract appropriate for possible Web promotion of the Challenge 3. Distinctive topics to be addressed and specific goals 4. Detailed description of the Challenge and its relevance to multimodal interaction 5. Length (full day or half day) 6. Plan for soliciting participation 7. Description of how submissions (challenge's submissions and papers) will be evaluated, and a list of proposed reviewers 8. Proposed schedule for releasing datasets (if applicable) and/or systems (if applicable) and receiving submissions 9. Short biography of the organizers (preferably from multiple institutions) 10. Funding source (if any) that supports or could support the challenge organization 11. Draft call for papers; affiliations and email address of the organisers; summary of the Grand Challenge; list of potential Technical Program Committee members and their affiliations; important dates Proposals will be evaluated based on originality, ambition, feasibility, and implementation plan. A Challenge with dataset(s) or system(s) that has had pilot results to ensure its representativity and suitability to the proposed task will be given preference for acceptance; an additional 1 page description must be attached in such case. Continuation of or variants on the 2025 challenges are welcome, even if we require submissions of this form to highlight the number of participants that attended during the previous year and describe what changes (if any) will be made from the previous year. The ICMI organizers will offer support with basic logistics, which includes rooms and equipment to run the Workshop, coffee breaks can be offered if synchronised with the main conference. =============================================== Important Dates and Contact Details =============================================== -> Proposals due: January 16, 2026 EXTENDED Proposal notification: February 7, 2026 POSTPONED Grand challenge date: October 5, 2026 =============================================== Proposals should be emailed to the ICMI 2025 Multimodal Grand Challenge Chairs, Sebastian Zepf (sebastian.zepf at mercedes-benz.com) and Alessandro Vinciarelli (Alessandro.Vinciarelli at glasgow.ac.uk). ============================================ CALL FOR WORKSHOPS ============================================ Please note that the call for workshops remains open until January 16, 2026. We are seeking workshop proposals on emerging research areas related to the main conference topics and those that focus on multi-disciplinary research. We would also strongly encourage workshops that will include a diverse set of keynote speakers (factors to consider include: gender, ethnic background, institutions, years of experience, geography, etc.). The content of accepted workshops is under the control of the workshop organizers. Workshops may be of half-day or one-day duration. Workshop organizers will be expected to manage the workshop content, solicit submissions, be present to moderate the discussion and panels, invite experts in the domain, conduct the reviewing process, and maintain a website for the workshop. Workshop papers will be indexed by ACM Digital Library in an adjunct proceedings, and a short workshop summary by the organizers will be published in the main conference proceedings. From gilles.serasset at imag.fr Wed Dec 17 09:41:04 2025 From: gilles.serasset at imag.fr (=?utf-8?Q?Gilles_S=C3=A9rasset?=) Date: Wed, 17 Dec 2025 15:41:04 +0100 Subject: Connectionists: =?utf-8?q?=5BCfP=5D_Knowledge_Graphs_and_Large_La?= =?utf-8?q?nguage_Models_=28KG=E2=80=93LLM_2026=29_=40_LREC_2026?= Message-ID: <611A590C-41C3-4041-87F8-F27701EB79E0@imag.fr> Knowledge Graphs and Large Language Models (KG?LLM 2026) @ LREC 2026 We are pleased to announce the Workshop on Knowledge Graphs and Large Language Models (KG?LLM 2026), to be held in conjunction with LREC 2026 in Palma de Mallorca, Spain, May 16th 2026. We invite submissions of original research that leverages both Knowledge Graphs (KGs) and Large Language Models (LLMs) in any domain of Natural Language Processing or language resource development. More information at https://kg-llm.github.io/ Workshop Overview Large Language Models have become foundational in NLP, yet they continue to face challenges related to bias, hallucination, explainability, environmental impact, and the cost of training. Knowledge Graphs, in contrast, provide high-quality, interpretable, and reusable ontological and linguistic structures that support reasoning, fact checking, and knowledge preservation. The goal of this workshop is to bring together researchers working at the intersection of these two paradigms, exploring how explicit knowledge and implicit statistical learning can enhance each other. We welcome contributions that investigate, demonstrate, or evaluate systems, methods, or resources integrating both KGs and LLMs. Topics of Interest We encourage submissions on (but not limited to): 1. LLMs for Knowledge Graph Engineering KG modelling, resource creation, and interlinking Relation extraction Corpus annotation Ontology localization Creation or expansion of linguistic or knowledge graphs KG querying and question answering 2. Knowledge Graphs for Large Language Models Using linguistic or knowledge graphs as training data Fine-tuning LLMs using linked linguistic (meta)data Knowledge/linguistic graph embeddings KGs for model explainability, provenance, and source attribution Neural models for under-resourced languages KG-augmented RAG (KG-RAG) 3. Joint Use of KGs and LLMs in Applications Combined KG?LLM use cases with structured linguistic data Digital humanities applications Question answering over graph data Fake news and misinformation detection Educational applications and assisted learning Visualizing academic writing with KGs and LLMs KG-enhanced chatbots for health and medical contexts Application Domains All application domains are welcome (Digital Humanities, FinTech, Linguistics, Education, Cybersecurity, etc.) as long as the work uses both Knowledge Graphs and Large Language Models. Submission Guidelines Submission Format: Papers up to 8 pages excluding references. Style: All submissions must follow the LREC 2026 format and use the official LREC author kit. (available at https://lrec2026.info/authors-kit/ ) Review Process: Double-blind peer review. Submissions must be fully anonymized. Submission System: Papers must be submitted via the START conference system at https://softconf.com/lrec2026/KGLLM/ Language Resources: In line with LREC policies, authors are encouraged to describe, document, and share language resources, datasets, models, evaluation tools, or annotation guidelines used or created in their work. Accepted Papers: All accepted papers will be included in the LREC 2026 workshop proceedings. Presentation: Accepted papers will be presented as oral or poster sessions during the workshop. Important Dates *All deadlines are 11:59PM UTC-12:00 (?anywhere on Earth?)* Paper submission deadline: 26 February 2026 Notification to authors: 24 March 2026 Camera-ready due: 30 March 2026 Workshop date: 16 May 2026 Contact For questions, please contact the workshop organizers at: kg-llm-26 at googlegroups.com Organizing Committee Gilles S?rasset, Universit? Grenoble Alpes, France Katerina Gkirtzou, Athena Research Center, Greece Michael Cochez, Ellis Institute Finland & ?bo Akademi, Finland Jan-Christoph Kalo, University of Amsterdam, Netherlands -------------- next part -------------- An HTML attachment was scrubbed... URL: From nikolaskaralis at gmail.com Wed Dec 17 08:57:04 2025 From: nikolaskaralis at gmail.com (Nikolas Karalis) Date: Wed, 17 Dec 2025 14:57:04 +0100 Subject: Connectionists: Postdoctoral positions in systems and circuits neurophysiology - Paris Brain Institute Message-ID: We invite applications for postdoctoral researchers with strong expertise in *in vivo electrophysiology* and *circuit neuroscience *to join our team Neuronal Circuits & Brain Dynamics at the Paris Brain Institute (ICM). Our project focuses on how neuromodulators (NE, DA, 5-HT, ACh) reshape large-scale circuit dynamics, inter-area communication, and state-dependent reconfiguration across hippocampal, prefrontal, and thalamic networks. Our experiments are designed to generate datasets that constrain mechanistic interpretations. The researcher will lead experimental work combining: - high-density extracellular electrophysiology (such as Neuropixels probes) - neuromodulator readouts (GRAB sensors, fiber photometry) - targeted perturbations (optogenetics, chemogenetics, *in vivo* genome editing) - behavioral paradigms (used to structure internal state transitions) *Required background and mindset* We are looking for an experimentalist with quantitative spirit, deep interest on underlying mechanisms, and hands-on, problem-solving mentality. - Extensive hands-on experience with *in vivo* electrophysiology in rodents (surgeries, recordings, manipulations) - Demonstrated ability to independently run complex experiments - Willingness to modify hardware, software, or analysis pipelines when needed - Comfortable preprocessing own data - Understanding spike sorting, quality control, cell-types, circuit motifs, extracellular signals, data organization, and reproducible pipelines - Data analysis is a core goal, not an afterthought - Interested in multi-region dynamics, state-dependent computation, and neuromodulation - Comfort connecting physiological observations to circuit architecture. - Ability to drive an ambitious experimental project and collaborate with theorists - Optional but valuable: experience with photometry, 1P/2P imaging, or slice electrophysiology We strongly encourage applications from individuals that have been traditionally underrepresented in the sciences. *Responsibilities:* - Design and perform multi-region electrophysiology chronic and acute experiments - Integrate Neuropixels data with simultaneous neuromodulator recordings - Design, implement, and interpret circuit perturbation experiments - Generate multi-modal datasets combining behavior, physiology, and neuromodulation - Collaborate and engage critically with theorists developing multi-level models *Research culture* Research in our lab is driven by the belief that understanding brain function requires *quantitative, mechanistic reasoning** grounded in high-quality physiological data*. We prioritize careful experimental design, deep engagement with raw signals, and an explicit connection between circuit structure, population dynamics, and computation. Lab members are expected to take ownership of their experiments and analyses end-to-end, to question assumptions, and to engage critically across disciplines. Intellectual rigor, technical independence, and clarity of thought are central to the lab?s culture. *Opportunities* As a postdoctoral researcher in our group: - You will be an integral part of shaping our research direction and team culture. You will engage in exciting and meaningful research and will have access to all the tools necessary to push the boundaries of scientific exploration, with our cutting-edge techniques and state-of-the-art facilities. - You will have ample opportunities to develop vital skills for your future academic career, such as mentoring, grant writing, presenting your work, publishing papers, and leading projects to completion. In parallel, you will gain invaluable first-hand experience in setting up and managing a young research team. - We encourage participation in conferences and workshops, where you can present your research findings to the wider scientific community. *Why join our team* - We are a young and vibrant group of scientists, fueled by curiosity and passion for understanding the brain. We work as a team and use or invent cutting-edge neurotechnologies to answer fundamental questions in neuroscience. - Our team is committed to the training, mentorship, and career development of the next generation of neuroscientists. To achieve that, we foster an inclusive and supportive environment, where we can learn and advance science while having fun in the process. - Our work is multi-disciplinary, and so is our team. Irrespective of your background and project, our research environment will expose you to a diverse range of experimental and computational aspects of systems and circuits neuroscience. - Working in our team will provide you with invaluable experience across all stages of research, and you will have the opportunity to engage in experiment design and execution, method development, software design, and data analysis, as well as publishing and communicating research results. - Our team is affiliated with Inserm and is located in the Paris Brain Institute (ICM) , where we have access to state-of-the-art facilities and resources. - Our vibrant community at the ICM and throughout Paris promotes broad collaboration and learning opportunities. If you would like to know more, visit our website: neuronaldynamics.eu and read about our team's mission and values . *How to apply* If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. Please send a statement of your past work and future research interests, your CV, and contact information for 1-3 references to the address: apply at neuronaldynamics.eu -- Nikolas Karalis Neuronal Circuits & Brain Dynamics Lab - Paris Brain Institute -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: KaralisLab_Postdoc_Position.pdf Type: application/pdf Size: 223868 bytes Desc: not available URL: From hocine.cherifi at gmail.com Thu Dec 18 08:37:46 2025 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 18 Dec 2025 14:37:46 +0100 Subject: Connectionists: =?utf-8?q?=5BISCS_2026=5D_CFP=3A_Cognition_=26_Co?= =?utf-8?q?mplex_Systems_=E2=80=93_La_Rochelle_=28France=29=2C_Jun_?= =?utf-8?q?3=E2=80=935=2C_2026_=28Deadline=3A_2_Mar_2026=29?= Message-ID: The *Sixth International Symposium on Complex (*ISCS 2026) invites contributions on the theory, methods, and applications of complex systems, bringing together researchers from network science, data science, physics, biology, social sciences, economics, and engineering. We welcome *long papers (12 pages)*, *short papers (8 pages)*, and *extended abstracts (3?4 pages)*, including both completed and ongoing work. ? *Submission deadline:* March 02, 2026 ? *Proceedings:* Springer ? *Extended abstracts:* ISBN book of abstracts ? Selected papers may be invited to submit extended versions to *Applied Network Science*. ? *Website:* https://iutdijon.u-bourgogne.fr/iscs/ ? *Submission portal:* https://cmt3.research.microsoft.com/ISCS2026/ *Topics include:* foundations of complex systems; complex networks & graph learning; computational social science; data science, AI & simulation; biological and biomedical systems; neuroscience & cognition; economic and financial systems; urban, socio-ecological, and environmental complexity. Join us in La Rochelle for three days of interdisciplinary exchange in complexity science. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hans.ekkehard.plesser at nmbu.no Thu Dec 18 09:58:09 2025 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Thu, 18 Dec 2025 14:58:09 +0000 Subject: Connectionists: =?windows-1252?q?NEST_Conference_2026_=96_Save_th?= =?windows-1252?q?e_date=3A_16-17_June_2026?= Message-ID: Dear Colleagues, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2026. Save the date for the virtual conference, taking place on June 16-17, 2026! The annual NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories,swap advice, learn about current developments in and around NEST spiking network simulation and its application. Weparticularly encourage young scientists to participate in the conference! Registration and abstract submission will open soon. For more information on the event please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you in June! Hans Ekkehard Plesser - on behalf of the conference organizing committee - -- Prof. Dr. Hans Ekkehard Plesser Research Committee Chair, Faculty of Science and Technology Head, Department of Data Science Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.panzeri at gmail.com Fri Dec 19 03:20:56 2025 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Fri, 19 Dec 2025 09:20:56 +0100 Subject: Connectionists: Postdoc and PhD positions in Panzeri Lab - Hamburg Message-ID: I am seeking candidates for fully funded postdoctoral and PhD positions in computational neuroscience at the University Medical Center Hamburg-Eppendorf (UKE). The successful candidates will conduct computational research in my computational laboratory (Institute for Neural Information Processing) at UKE: https://www.uke.de/english/departments-institutes/institutes/department-of-excellence-for-neural-information-processing/index.html We will investigate, by developing and using advanced machine learning methods and neural network models, how populations of neurons (and of glia) in the brain encode information and use it to produce behaviors. We offer a wide range of interdisciplinary expertise in computational neuroscience. We also offers a high-quality and well-funded research environment including a network of international experimental collaborators such as Prof. Christopher Harvey at Harvard Medical School, Prof. Tommaso Fellin at IIT Italy, and Prof. Mriganka Sur at MIT. We seek candidates with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. The job is available starting immediately and applications will be considered as soon as they are received and until the positions are filled. Funding is available for several years (with a minimum commitment of two years expected) for postdoc candidates and for the full duration of the PhD for PhD candidates. Interested applicants are strongly encouraged to email me (s.panzeri at uke.de or stefano.panzeri at gmail.com) as soon as possible, to inform me of the interest for the position and initiate a discussion about research projects. I suggest interested candidates to attach a CV when inquiring by email. For recent example publications from my lab, see: Dupret D et al (2025) Neural population activity for memory: properties, computations, and codes. Neuron: in press Safaai H et al (2025) Specialized structure of neural population codes in parietal cortex outputs. Nature Neuroscience 28, 2550?2560 Lorenz GM et al (2025) MINT: a toolbox for the analysis of multivariate neural information coding and transmission. PLOS Computational Biology 21 (4), e1012934 Kuan AT et al (2024). Synaptic wiring motifs in posterior parietal cortex support decision-making. Nature 627, 367?373 Celotto M, et al (2023) An information-theoretic quantification of the content of communication between brain regions. NeurIPS Panzeri S, et al (2022) The structures and functions of correlations in neural population codes. Nature Reviews Neuroscience 23: 551-567 Koren V., Panzeri S (2022) Biologically plausible solutions for spiking networks with efficient coding. NeurIPS Curreli S, et al (2022) Complementary encoding of spatial information in hippocampal astrocytes. PLoS Biology 20(3): e3001530. Valente, M. et al (2021), Correlations enhance the behavioral readout of neural population activity in association cortex. Nature Neuroscience, 24, 975?986 Stefano Panzeri -------------- next part -------------- An HTML attachment was scrubbed... URL: From rbianchi at fei.edu.br Fri Dec 19 12:33:28 2025 From: rbianchi at fei.edu.br (Reinaldo A. C. Bianchi) Date: Fri, 19 Dec 2025 17:33:28 +0000 Subject: Connectionists: RoboCup 2026 Humanoid Soccer League Competition - 1st Call for Participation Message-ID: <1095269F-1C12-4F85-9526-930082BB9066@fei.edu.br> 1st Call for Participation RoboCup 2026 Humanoid Soccer League Competition June 30th - July 6th, 2026, Incheon, South Korea ======================================= The RoboCup Humanoid Soccer League invites teams to apply for participation at the RoboCup 2026 Humanoid Soccer Competition in Incheon, South Korea. RoboCup is an international initiative that fosters research and education in Robotics and Artificial Intelligence through a variety of competitions (RoboCupSoccer, RoboCupRescue, RoboCup at Home, RoboCupIndustrial, RoboCupJunior) involving mostly multi-robot systems. RoboCupSoccer currently includes a number of different robot soccer leagues that focus on different research challenges. More information can be found on the official website: https://www.robocup.org/ The Humanoid Soccer League (HSL) was formed through the unification of the Humanoid League (HL) and Standard Platform League (SPL) and will take place for the first time at the RoboCup 2026. HSL hosts games and challenges where teams of humanoid robots play soccer autonomously. The game of soccer serves as an environment for research, development, and education in all areas of autonomous humanoid robots, including hardware development, vision, bipedal locomotion, learning, behavior control, and team coordination. The focus is thereby on human-like abilities of the robots. The Humanoid Soccer League will host competitions in the following divisions, depending on the height and weight of the robot players: * Small Robot Division: height < 110 cm, weight < 15 kg * Middle Robot Division: height < 125 cm; weight < 25 kg * Large Robot Division: height < 190 cm; weight < 80 kg Teams in each division will have the choice to play in two team configurations: 1. Foundation - with a smaller number of players; 2. Advanced - with a larger number of players. In a game, if one team chooses to play in a Foundation configuration, then both teams must play in this configuration. The maximum number of players in a game for each configuration is shown in the table below: * Small ? Foundation: max 4 | Advanced: max 7 * Middle ? Foundation: max 3 | Advanced: max 5 * Large ? Foundation: max 3 | Advanced: max 5 Teams are welcome to apply even if they are unable to provide a full team of robots (the maximum number of robot players). Teams are encouraged to form and apply as joint teams. Joint proposals will be judged on their combined merit. For more details on divisions, please refer to the Humanoid Soccer League rules at: https://github.com/RoboCup-HumanoidSoccerLeague/HSL-Rules. 1. Robots ======================================= Teams may apply for participation with both commercially available and with humanoid robot platforms constructed by the teams. A selection of robots is available for purchase through the RoboCup Humanoid Robot Program at a special RoboCup offer: https://robotprogram.robocup.org/ As part of the RoboCup Humanoid Robot Program, there will be a pool of humanoid robot models K1 and T1 provided by the company Booster for RoboCup 2026. Teams will be able to borrow the robots from the pool and use them in their games. 2. Application Process and Timeline ======================================= 2.1. Important Dates --------------------------------------- * Submission system open: January 1st, 2026 * Pre-application deadline: January 10th, 2026 * Submission deadline: January 31st, 2026 * Team review period: February 3rd - 20th, 2026 * Announcement of qualified teams: March 2nd, 2026 2.2. Online Submission --------------------------------------- All application materials must be submitted online at: https://submission.robocuphumanoid.com/login Teams may apply for participation in one or several divisions. Teams applying for participation in several divisions must submit individual application materials for each division. Please be informed that the submission system is being updated. To submit an application, it is necessary to create new accounts on the system. Accounts of the teams that used the system last year should be available and can be used this year. 2.3. Review Process --------------------------------------- Each application to the Humanoid Soccer Competition will be reviewed by two members of the Technical Committee and two other randomly assigned teams applying to the Humanoid Soccer Competition. The combined reviewing score will be used to decide whether a team qualifies for participation. Reviewing other teams' material is mandatory for teams that want to participate in the Humanoid Soccer Competition. Failing to provide an adequate review by the provided deadline will have consequences for the team's own qualification status. 3. Application Material (Robot/Team information to submit) ======================================= For the qualification process, teams must provide the following material: 3.1. Pre-application / Team-Information --------------------------------------- Team name URL of the team's home page Name of team leader or team contact person E-mail address of the team leader or contact person Competition Division: Small, Middle, Large ? with robot numbers 3.2. Video --------------------------------------- Teams need to provide a video of their current or previous physical robot demonstrating the robot's autonomous soccer-playing skills. The recommended skills needed for the qualification are: * Localization of unknown ball position * Walking ability towards the ball * Robot positioning at the ball for kicking * Kicking the ball towards the goal * Passing the ball from one player to another * Avoiding other robots autonomously * Ability to get up autonomously after a fall We encourage teams to include in the video more complex and intelligent behavior, such as demonstrating localization, and robots playing in a game. Recordings from actual soccer matches are welcome. If possible, please provide footage that demonstrates the robot's behavior without wires attached. We understand that teams transitioning to new robot platforms from the former SPL and HL leagues may not yet have their physical robots, nor soccer-ready software/hardware to demonstrate by the qualification deadlines. Teams may alternatively demonstrate in their video their software/hardware capabilities from previous years on other robot platforms, and/or capabilities in simulation. We encourage teams, if possible, to include a demonstration of their current capabilities on their intended platform. * The maximum duration of the video must not exceed ** 5 minutes **. * The qualification video must be supplied as a link (e.g., uploaded on the team?s website or on some video server like YouTube). The qualifying team is responsible for ensuring that the video is accessible and viewable with modern browsers. Note, if YouTube is used, make sure the video adheres to YouTube's TOS (especially concerning music copyright) to prevent the video from being blocked for the reviewers. Teams that do not provide a qualification video or a viewable video will not be qualified. 3.3. Team Description Paper --------------------------------------- A team description paper must be submitted. For teams that have previously participated in the Humanoid League or Standard Platform League, the team description paper must include: * Lessons learned from participation in previous RoboCup competitions. * Highlight major challenges that the team is trying to solve for the upcoming competition. * Outline the plans for the major changes that the teams anticipate to have implemented by the RoboCup 2026 competition. * Describe the implementation status of the planned changes at the time of submitting the application. * Explain the impact of the team?s participation and research in RoboCup on (1) the Humanoid Soccer League, (2) the team?s university/community. * Demonstrate own contribution to the RoboCup Humanoid Soccer League or humanoid robotics research in general: Describe in detail the ?research publishable? significant advancements the applying team has made and is going to use at RoboCup 2026. This can, for instance, include software or hardware releases, paper publications, provision of league infrastructure, or data sets. * Any other information that supports your application. For teams that have never participated in the RoboCup Humanoid League or Standard Platform League, the Team Description Paper must outline the scientific aspects of their humanoid robotic system and highlight their research focus. The submission should show clear contributions and advancements intended to be used during the competition. The team description papers are intended to highlight the changes and scientific developments since the last RoboCup. Thus, we expect the usage of material from previous TDPs or Extended Abstracts to be minimal. If material from previous TDPs is used, it must be cited appropriately. Submissions of last year's Extended Abstract will be desk-rejected. The team description paper is limited to ** 4 pages **, excluding references, and must be submitted in PDF format. The team description paper must follow the LNCS format, which can be downloaded from: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Teams that do not follow the LNCS formatting and style guidelines will not be qualified. No exceptions to this rule will be made. 3.4. Software Description --------------------------------------- During the application process, a form will be provided to submit brief details about the algorithms used or anticipated to be used for participation in the 2026 competition. The form will include brief questions in the following areas: * Walking * Vision * Localization * Behavior * Team Communication Responses to the questions are expected to reflect the current and anticipated status of the software during the RoboCup 2026 competition. If software from other teams, third-party software libraries, or "off-the-shelf soccer-ready" libraries/algorithms are used, teams must reference this use. References should include the team, competition, and year when code is used from another team, or reference publicly available documentation for software libraries. Teams should describe how they have adapted the use of this software within their own codebase. 3.5. Hardware Specification --------------------------------------- A one-page specification (PDF) must be provided for each different type of humanoid robot used by the team that includes the following: * Robot picture (can be on a separate page) (3D model if the physical one is not available yet) * Robot name * Height of the robot * Weight of the robot * Number of degrees of freedom and type of motors on each kinematic chain of the robot * Actuator model name and Wattage * Type of sensors used (incl. type of camera(s) and specific manufacturer part number (e.g., "6-DoF IMU" is NOT an acceptable description)) * Computing unit(s) * Materials (e.g., Torso aluminium, legs and arms CFRP) * Electronics (e.g., CM730 for communicating with servos) * Battery (e.g. 3S1P 2200mAh LiPo) * Open Source link if applicable * Other specs (Jerseys if already available) Teams that are using pre-approved, unmodified HSL standard platforms only need to provide information directly available from the manufacturer's documentation to confirm they are using an unmodified standard platform. Teams do not need to provide details where information is not available via manufacturer-provided documentation, ?such as due to commercial confidence. 3.6. Letter of Commitment --------------------------------------- A one-page letter addressed to the RoboCup Humanoid Soccer League Technical Committee, including the following: * a statement committing to participate in the RoboCup 2026 Humanoid Soccer League competition; * a statement committing to make a person with sufficient knowledge of the rules available as a referee during the competition. The letter must be signed (by hand or using a digital signature software as Adobe or DocuSign) by the team leader and submitted either as a JPG, PNG, or PDF file. A template for this letter can be found at: https://docs.google.com/document/d/1qNILlggOj5j_cHhof1b6NICPyfgVrp-M/edit?usp=sharing&ouid=112208542287042828622&rtpof=true&sd=true If you have doubts regarding the ability of your team to participate (due to funding, visas, etc.), please apply by the deadline, but note this in your application email. Declining to participate in any competition after the official early registration period has opened may negatively affect future applications (the later you decline, the worse it will affect future applications). The TC may include the fulfillment of the statement of commitment of participation, as well as the performance of the team's referee in previous RoboCup competitions, into consideration for qualification. Teams must guarantee to have at least one member per division they participate in, acting as a referee, available independently. Note that teams may be scheduled to play a game and referee a different game at the same time. 4. Organizational Information ======================================= 4.1. Rules --------------------------------------- The current version of the rules may be found here in the git: https://github.com/RoboCup-HumanoidSoccerLeague/HSL-Rules. The current version is under development and subject to change. We expect the final version of the 2026 rules to be published in spring 2026. For more information about the Humanoid Soccer League and connections with other teams, please refer to the RoboCup Official Discord: https://discord.gg/fjrepNWk. 4.2. Plagiarism --------------------------------------- Plagiarism, loosely the unattributed use of other people's words, code, and ideas, is not tolerated in the RoboCup community. For a more detailed description, see the point "Publishing Ethics" at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines The teams and team members who plagiarize other people's work and present it as their own will be disqualified. For a first offense, the team and team members will be banned from RoboCup competition for two years (usually the current and next year). Harsher penalties will be applied to repeat offenders or extremely serious cases of plagiarism. A team may be disqualified at any time for plagiarism, even after the competition has started. RoboCup will not reimburse teams for any expenses related to their disqualification. 4.3. Publication --------------------------------------- Please note that after the announcement of the qualified teams, the submitted materials of the qualified teams will be made publicly available on the Humanoid Soccer League website. Teams applying for participation, therefore, implicitly grant the right of publication of their qualification material to the Humanoid Soccer League. Therefore, teams should ensure their qualification materials contain no commercial-in-confidence information or other content that would restrict publication. 4.4. Visa Process --------------------------------------- South Korea offers visa-free entry for many countries for short tourism/business stays (under 90 days), but most need the K-ETA (Electronic Travel Authorization) before arrival. Please verify your visa requirements at the South Korea Visa Portal: https://www.visa.go.kr/main/openMain.do The letters of invitation are issued by the RoboCup federation, not the TC, and they are part of the official registration process. We look forward to seeing you all at the RoboCup 2026! With best regards, Technical Committee of the RoboCup Humanoid Soccer League 2026 Esta mensagem, juntamente com qualquer outra informa??o anexada, ? confidencial e protegida por lei. Somente os seus destinat?rios est?o autorizados a us?-la. Se voc? n?o for o destinat?rio, por favor, informe o remetente e, em seguida, apague a mensagem, observando que n?o h? autoriza??o para usar, copiar, armazenar, encaminhar, imprimir ou tomar qualquer a??o baseada no seu conte?do. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Marwa.Mahmoud at glasgow.ac.uk Fri Dec 19 12:31:47 2025 From: Marwa.Mahmoud at glasgow.ac.uk (Marwa Mahmoud) Date: Fri, 19 Dec 2025 17:31:47 +0000 Subject: Connectionists: FG2026 - Call for Papers Message-ID: Dear Colleagues (apologies for cross-posting), The 20th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2026) May 25th ? 29th, 2026, Kyoto, Japan. https://fg2026.ieee-biometrics.org/ The IEEE conference series on Automatic Face and Gesture Recognition is the premier international forum for research in image and video-based face, gesture, and body movement recognition. Its broad scope includes advances in fundamental computer vision, pattern recognition, computer graphics, and machine learning techniques relevant to face, gesture, and body action, as well as innovative algorithms and analyses of specific applications. The 20th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2026) marks a milestone as the 20th conference in the series, returning to Japan after nearly three decades. FG 2026 will be held from May 25th to 29th, 2026, in Kyoto, Japan, as an in-person event. The conference invites submissions addressing both foundational and emerging research topics in face and gesture recognition. Topics of interest include, but are not limited to: - Face, gesture, and body detection and tracking - Robust recognition under varying conditions (pose, occlusion, illumination) - Generative modeling and neural rendering (e.g., deepfakes, AR/VR) - Advanced learning paradigms (self-supervised, few-shot, foundation models) - Soft biometrics and behavioral analysis (emotion, personality, demographics) - Multimodal fusion and cross-modal analysis - Benchmark development and dataset creation - Cognitive and bio-inspired vision systems - Bias mitigation, interpretability, and ethical considerations - Real-world applications and deployment studies - Paper format and submission Format Submitted papers may not be accepted or under review elsewhere. FG 2026 will consider two different paper types, i.e., Short and Long Papers. Authors should carefully consider the category before submitting a paper. - Short papers: 4 pages + 1 page for references - Long papers: 8 pages + references The main difference between the two is in the size of the contributions, rather than in their importance or technical quality. Please visit the submission page for additional details on paper formatting and paper types. Accepted papers will be published and indexed in IEEEXplore. Submission FG 2026 will use a two-round reviewing procedure. New papers can be submitted in either the first or the second round. The primary benefit of submitting in Round 1 is that submissions can be invited for resubmission to Round 2, enabling authors to address reviewer concerns and significantly improve their work. Paper submissions are accepted through CMT: https://cmt3.research.microsoft.com/FG2026/ Important Dates (all Pacific time) - Abstract submission: Friday, January 9th, 2026 - Paper submission: Thursday, January 15th, 2026 - Notifications to authors: Thursday, April 2nd, 2026 - Camera Ready (for all): Tuesday, April 21st, 2026 For more information, visit: https://fg2026.ieee-biometrics.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From ahmed.imprs at gmail.com Sat Dec 20 07:51:20 2025 From: ahmed.imprs at gmail.com (Ahmed El Hady) Date: Sat, 20 Dec 2025 07:51:20 -0500 Subject: Connectionists: Konstanz School of Collective Behaviour 2026 ( Deadline : March 15th, 2026) Message-ID: <15181576-2a64-4309-b197-08be0de6eeef@gmail.com> *Konstanz School of Collective Behaviour 2026* *Konstanz, Germany * *20th?July 2026 ? 7th August 2026 *** *Deadline to apply: March 15th, 2026* The Konstanz School of Collective Behaviour (KSCB) will take place between 20th?July ? 7th August 2026 ?at the Cluster of Excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz . Konstanz ?is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over three weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviours across a variety of species from cells, worms, drosophila, fish to non ? human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behaviour will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty and tutors. The Konstanz School of Collective Behaviour is intended for graduate students, doctoral researchers, and early postdoctoral researchers. We consider applicants with strong quantitative background including but not limited to physics, computer science, mathematics and engineering. Applicants with biological and experimental background will be considered if they demonstrate in their application extensive quantitative and mathematical background as the focus of the school is quantitative study of collective behaviours. Accommodation will be provided and paid by the organizers. A limited number of travel support will be provided and a registration fee will be due (500 Euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. The submission of applications for the fourth Konstanz School of Collective Behaviour is currently open until March 15, 2026. We will inform the applicants during the month of April whether their application was successful For further information about the school and the application procedure , visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ _ *KSCB 2026 faculty : * ?Anastasia Bizyaeva ( Cornell University, USA) ?Iain Couzin ( University of Konstanz / Max Planck Institute of Animal Behavior) ?Einat Couzin-fuchs ( University of Konstanz ) ?David Garcia ( University of Konstanz ) ?Dan Gorbonos ( Holon Institute of Technology, Israel and Max Planck Institute of Animal Behavior) ?Stefan Krapitscka ( University of Konstanz ) ?Zachary Kilpatrick ( University of Colorado Boulder, USA) ?Liang Li ( Max Planck Institute of Animal Behavior) ?Yonatan Loewenstein ( Hebrew University of Jerusalem, Israel) ?Ran Nathan ( Hebrew University of Jerusalem, Israel ) ?Mor Nitzan ( Hebrew University of Jerusalem, Israel) ?Britta Renner ( University of Konstanz ) ?Allyson Sgro ( Janelia Farm Research Campus, Virginia, USA) ?Joshua Shaevitz ( Princeton University, USA) ?Ariana Strandburg-Peshkin ( Max Planck Institute of Animal Behavior) ?Katrin Vogt ( University of Konstanz ) *In case you have any questions, please contact: **ahmed.el-hady at uni-konstanz.de ** * All the best regards, Ahmed El Hady On behalf of the KSCB organizational committee Dr. Ahmed El Hady Principal Investigator Cluster for Advanced Study of Collective Behavior, University of Konstanz Max Planck Institute of Animal Behavior Universit?tsstra?e 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sara.magliacane at gmail.com Sun Dec 21 03:33:01 2025 From: sara.magliacane at gmail.com (Sara Magliacane) Date: Sun, 21 Dec 2025 09:33:01 +0100 Subject: Connectionists: [CFP] Unifying Concept Representation Learning workshop @ ICLR 2026 - deadline Jan 30 Message-ID: Call for Papers for UCRL workshop at ICLR 2026 ICLR 2026 workshop on Unifying Concept Representation Learning https://ucrl-iclr26.github.io/ Motivation Several areas at the forefront of AI research are currently witnessing a convergence of interests around the problem of learning high-quality concepts from data. Concepts have become a central topic of study in neuro-symbolic integration (NeSy). NeSy approaches integrate perception ? usually implemented by a neural backbone ? and symbolic reasoning by employing concepts to glue together these two steps: the latter relies on the concepts detected by the former to produce suitable outputs. Concepts are also used in Explainable AI (XAI) by recent post-hoc explainers and self-explainable architectures as a building block for constructing high-level justifications of model behavior. Compared to, e.g., saliency maps, these can portray a more abstract and understandable picture of the machine?s reasoning process, potentially improving interpretability, interactivity, and trustworthiness, to the point that concepts have been called the lingua franca of human-AI interaction. NeSy and XAI methods hinge on learned concepts being ?high-quality?. Concepts with misaligned semantics may compromise the meaning of model explanations, out-of-distribution behavior of NeSy architectures and human understanding of the underlying systems. Recent works propose to leverage disentangled representations to mitigate concept leakage, i.e., the presence of irrelevant information in the learned concepts. Causal Representation Learning (CRL) is a generalization of disentangled representation learning, when the latent variables are dependent on each other, e.g., due to causal relations. The potential of leveraging CRL to learn more robust and leak-proof concepts is an emerging area of research with a growing number of approaches, but many open questions remain. In particular, what properties high-quality concepts should satisfy is unclear. Moreover, despite studying the same underlying object, research in NeSy, XAI and CRL is proceeding on mostly independent tracks, with minimal knowledge transfer. Separate branches differ in their working definitions of what concepts are and what desiderata they ought to satisfy, on what data and algorithms they should be learned with, and on how to properly assess their quality. This also means that approaches in one area often ignore insights from the others. As a result, the central issue of how to properly learn and evaluate concepts is largely unanswered. The aim of this ICLR 2026 workshop is to bring together researchers from NeSy, XAI and CRL and from both industry and academia, who are interested in learning robust, semantically meaningful concepts. We welcome submissions on the following topics: - Foundations of concept representations and learning in XAI, CRL and NeSy. - Supervised and unsupervised techniques for learning concepts from observational and interventional data, raw inputs, and pre-trained embeddings. - Techniques for learning concepts in non-standard settings, e.g., causal abstraction. - Design and evaluation of concept-based XAI techniques and self-explainable concept-based models. - Interactive human-machine concept acquisition and alignment. - Applications of concept-based AI systems, including but not limited to, reasoning, causality, formal verification, interactive learning, and explainability. - Metrics and evaluation techniques for assessing the quality of learned concepts, with a focus on down-stream applications. Important Dates & Details Paper submission deadline: January 30th, 2026 23:59 AoE Notification to authors: March 1st, 2026 23:59 AoE Workshop date: April 26 or 27, 2026 Workshop location: Rio de Janeiro, Brazil Submission instructions We invite submissions on on-going research that have not yet been published in a venue with proceedings. While we welcome unfinished work, submissions in this track should contain original ideas, new connections between research fields, or novel results. Submissions should be formatted using the ICML latex template and formatting instructions. Papers should be up to 6 pages in length, including all main results, figures, and tables. Appendices containing additional details are allowed, but reviewers are not expected to take this into account. Submission Link: https://openreview.net/group?id=ICLR.cc/2026/Workshop/UCRL#tab-your-consoles Organization committee - Amit Dhurandhar (IBM Research) - Amir-Hossein Karimi (U Waterloo) - Sara Magliacane (U Amsterdam) - Stefano Teso (U Trento) - Efthymia Tsamoura (Huawei Research) - Zhe Zeng (U Virginia) -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Dec 20 04:21:25 2025 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 20 Dec 2025 10:21:25 +0100 (CET) Subject: Connectionists: AIces 2026: early registration December 30 Message-ID: <222285376.199951.1766222485904@webmail.strato.com> ****************************************************** 1st INTERNATIONAL SCHOOL ON THE COGNITIVE, ETHICAL AND SOCIETAL DIMENSIONS OF ARTIFICIAL INTELLIGENCE AIces 2026 Porto ? Maia, Portugal March 30 ? April 2, 2026 https://aices.irdta.eu/2026/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice ? IRDTA Luxembourg/London ****************************************************** Early registration: December 30, 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 10 courses, 2 keynote lectures, 3 symposia 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: Ricardo Baeza-Yates (Barcelona Supercomputing Center), [introductory] Introduction to Responsible AI Susan Brennan (Stony Brook University), [introductory/advanced] Where Are the Humans in Human-Centered 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 SYMPOSIA: A symposium will collect 10-minute voluntary presentations on any of the 3 thematic areas of the event: cognition, ethics, and society. 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. Only registered participants can contribute to symposia. OPEN DEBATES: Open debate sessions will be organized for each of the 3 thematic areas of the school: cognition, ethics, and society. A 2-page expression of interest to lead the respective session including the topics to be debated, the structure, call for contributions, and dynamics of the session must be sent to david at irdta.eu by December 30, 2025. Only registered participants are eligible for leading a debate 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) 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 kerkoucheraouf at gmail.com Sun Dec 21 08:56:02 2025 From: kerkoucheraouf at gmail.com (Raouf Kerkouche) Date: Sun, 21 Dec 2025 14:56:02 +0100 Subject: Connectionists: =?utf-8?q?PhD_Position_=E2=80=93_Privacy-Preservi?= =?utf-8?q?ng_Collaborative_Learning_of_Large_Language_Models_Acros?= =?utf-8?q?s_Heterogeneous_Learning_Paradigms?= Message-ID: Dear colleagues, I would like to advertise a PhD position on *Privacy-Preserving Collaborative Learning of Large Language Models Across Heterogeneous Learning Paradigms*, hosted at Inria, the French National Institute for Research in Digital Science and Technology. Inria offers an outstanding international research environment, strong collaborations, and excellent conditions for PhD research. The position is based in Lille, France, a dynamic academic city with a strong research environment, affordable living costs, and excellent connections to Paris, Brussels, and London, making it an attractive place for PhD studies. Full details about the position and the application procedure are available here: https://recrutement.inria.fr/public/classic/fr/offres/2025-09662 Please feel free to share this announcement with interested candidates in your networks. ? Application deadline: 15 January 2026 Best regards, Dr. Raouf KERKOUCHE -------------- next part -------------- An HTML attachment was scrubbed... URL: From fpbattaglia at gmail.com Sun Dec 21 13:38:10 2025 From: fpbattaglia at gmail.com (Francesco Battaglia) Date: Sun, 21 Dec 2025 19:38:10 +0100 Subject: Connectionists: Lorentz Center symposium "Brain and Organisms, Neuroscience beyond Computation" Message-ID: Dear all, we are still taking registrations for our Lorentz Center Symposium "Brain and Organisms, Neuroscience beyond Computation" to be held in Leiden 16 to 20 March 2026. Since the 1990s, that were designated as the ?Decade of the brain? new technologies have generate a wealth of empirical data unimaginable before. Yet that era?s hopes for a new understanding of the brain that would translate into effective treatment for a number of brain disorders seem to be put on hold. The currently slow progress of brain theory, and, relatedly, of clinical innovation has, in our opinion, a key cause in reductionist, and reductive dominant paradigm which looks at ?brain machinery? in isolation, without paying much attention to the link between the brain and the physiology of the whole organism, and to the social-ecological environment in which natural brains operate. The symposium will bring together mathematicians, philosophers, computer scientists, and experimental neuroscientists to identify how a broader perspective on brain-organism-environment may help formulating new conceptual tools, and novel experimental paradigms. The sessions will progress from debating to value of current computational and modeling trends, to highly conceptual and theoretical perspective of the biological brain and ending with the discussing how the brain integrates into the organism as a whole, and into a social network in individuals. We hope to formulate new ideas, which will be summarized for example in a special issue of a prominent academic journal. You can see more info, and register at https://www.lorentzcenter.nl/brain-and-organisms-neuroscience-beyond-computation.html Please do not hesitate contacting me if you have any questions! All best, Francesco Prof. Dr. Francesco P. Battaglia Principal Investigator Neuronal Networks of Memory Lab Donders Centre for Neuroscience Heyendaalseweg 135 6525AJ Nijmegen - The Netherlands francesco.battaglia at donders.ru.nl fpbattaglia at gmail.com Post address: P.O. box 9010 internal Mailbox 66 6500GL Nijmegen The Netherlands September 2025- January 2026: Distinguished NIAS-Lorentz Center Fellow (on sabbatical at NIAS in Amsterdam) -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Mon Dec 22 02:44:32 2025 From: announce at ucy.ac.cy (Announce) Date: Mon, 22 Dec 2025 07:44:32 +0000 Subject: Connectionists: The 38th International Conference on Software Engineering Education and Training: Call for Papers Message-ID: (Apologies for crossposting) Dear Colleague We are pleased to announce that CSEE&T 2026 (The 38th International Conference on Software Engineering Education and Training) will be held at The University of Florence, Italy, from July 20 - 22. The CFP is posted at https://cseet26.techconf.org/download/CFP-CSEE&T-2026.pdf Please refer to the conference website for the most recent updates. If you have any questions related to paper submission to the main conference, please send emails to the Program Chairs: Professor Matthew Barr Professor Lin Liu, or Professor Rafal Wlodarski. For the Academy for Software Engineering Education & Training (ASEE&T) Workshop, please visit its website or contact Professor Nancy Mead and Professor Hossein Saiedian. For other inquiries, please get in touch with the CSEET 2026 Secretariat. We look forward to working with you for a successful conference. CSEE&T Secretariat -------------- next part -------------- An HTML attachment was scrubbed... URL: From maria.pavlovic at tuebingen.mpg.de Mon Dec 22 03:42:18 2025 From: maria.pavlovic at tuebingen.mpg.de (Pavlovic, Maria) Date: Mon, 22 Dec 2025 08:42:18 +0000 Subject: Connectionists: =?utf-8?q?Save_the_Date_=E2=80=93_Braitenberg_100?= =?utf-8?q?=3A_Computational_Neuroscience_-_Past=2C_Present=2C_and_Future?= =?utf-8?q?=2C_June_29-July_1=2C_2025_in_Tuebingen=2C_Germany?= In-Reply-To: References: <91cd184ff981436ebe9d0e126020eb2d@tuebingen.mpg.de> Message-ID: Dear colleagues, We are delighted to announce a landmark symposium on the occasion of Valentino Braitenberg's 100th birthday in our campus's Max Planck House, T?bingen, Germany, June 29-July 1st, 2026: Braitenberg 100: Computational Neuroscience - Past, Present, and Future The symposium will gather many of the world?s leading experts to celebrate past achievements, showcase current breakthroughs, and brainstorm the future of computational neuroscience. There will be keynote speeches, poster sessions, and various program events to facilitate intellectual exchanges and interactions. -------------------------------- Keynote Speakers Include: Neil Burgess ? Patrick Cavanagh ? Kathleen Cullen ? Peter Dayan ? Kenji Doya ? Ivan De Araujo ? Wulfram Gerstner ? Michael Hasselmo ? Sabine Kastner ? Read Montague ? Reza Shadmehr ? Naoshige Uchida ? Li Zhaoping -------------------------------- To facilitate interactions and discussions, we have a limited capacity of 130 seats. Registration opens in mid-January 2026. Information about the program, poster submission, and registration procedures will follow soon. We look forward to welcoming you to T?bingen for Braitenberg 100?an inspiring celebration of computational neuroscience?s past, present, and future. Warm regards, The Organizing Committee, Max Planck Institute for Biological Cybernetics -------------------------------- Please direct inquiries to braitenberg100 at tue.mpg.de http://www.braitenberg100-theoretical-neuroscience.de/ -------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 561144 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 6707 bytes Desc: not available URL: From pubconference at gmail.com Sun Dec 21 22:37:15 2025 From: pubconference at gmail.com (Pub Conference) Date: Sun, 21 Dec 2025 22:37:15 -0500 Subject: Connectionists: Special Session "MLDL-HIC" at WCCI 2026 - Maastricht, Netherlands Message-ID: Dear Colleague, We are organizing a Special Session for the International Joint Conference on Neural Networks (IJCNN 2026) entitled *?Advances in Machine Learning and Deep Learning for Hyperspectral Image Classification,?* which is part of the IEEE World Congress on Computational Intelligence (WCCI) 2026, to be held in Maastricht, the Netherlands, June 21?26, 2026. The objective of this special session is to bring together researchers and practitioners in machine learning, deep learning, and remote sensing to share novel computational approaches for hyperspectral image classification. Topics of interest include, but are not limited to, the following: ? Remote Sensing Applications of Hyperspectral Imaging ? Hyperspectral Imaging for Advanced Remote Sensing Techniques ? Deep Learning Architectures for Hyperspectral Image Classification ? Transfer Learning for Hyperspectral Image Classification ? Unsupervised and Semi-Supervised Learning Methods ? Data Augmentation and Synthetic Data Generation for Hyperspectral Data ? Multisource and Multimodal Data Fusion ? Explainability and Interpretability in Hyperspectral Image Classification ? Advanced Feature Extraction Techniques ? Adversarial Attacks and Robustness in Hyperspectral Image Classification ? Real-Time Hyperspectral Image Classification ? Applications of Hyperspectral Image Classification ? Benchmarking and Evaluation of Deep Learning Models ? Hybrid and Ensemble Models for Hyperspectral Classification ? Hyperparameter Tuning and Optimization Techniques ? Challenges and Future Directions in Hyperspectral Image Classification Details about the session can be found here: https://sites.google.com/view/wcci2026/home Information on papers submission can be found here: https://attend.ieee.org/wcci-2026/information-for-authors/ All accepted papers will be included in the WCCI 2026 proceedings, published on the IEEE Xplore Digital Library. The deadline for the submission of papers is approaching: January 31, 2026, 23:59 AoE time (no extension will be given, see Important Dates ) For any additional inquiries, please feel free to contact us. Best regards, Nian Ashlee Zhang, University of the District of Columbia, USA Man-Fai Leung, Anglia Ruskin University, U.K. Feng Xia, RMIT University, Australia Donald C. Wunsch II, Missouri University of Science and Technology, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From kathryn.simone at uwaterloo.ca Mon Dec 22 08:09:24 2025 From: kathryn.simone at uwaterloo.ca (Kathryn Simone) Date: Mon, 22 Dec 2025 13:09:24 +0000 Subject: Connectionists: Application Deadline EXTENDED: Nengo Summer School 2026 Message-ID: Dear colleagues, The deadline for application to the 2026 Nengo Summer School has been extended to 15 January, 2026 Anywhere On Earth. 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 EXTENDED: January 15th, 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! Kathryn Simone, PhD Postdoctoral Fellow, Computational Neuroscience Research Group Department of Systems Design Engineering University of Waterloo -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Mon Dec 22 22:14:32 2025 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 23 Dec 2025 08:44:32 +0530 Subject: Connectionists: Announcement of ISCMI 2026(Vienna) Message-ID: Dear friends and esteemed colleagues, Holiday Greetings to all! Am pleased to present the website of 2026 13th ISCMI, to be held in Vienna, with TCS of IEEE Austria Section. I solicit your continued support and patronage for this edition of our flagship event and help making it a success. For more info, pls visit https://www.iscmi.us/index.html Thank you, Suash Deb General Chair, ISCMI 2026 -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at manchester.ac.uk Tue Dec 23 08:48:03 2025 From: samuel.kaski at manchester.ac.uk (Samuel Kaski) Date: Tue, 23 Dec 2025 13:48:03 +0000 Subject: Connectionists: PI and postdoc positions in ELLIS Institute Finland, DLs early 2026 Message-ID: Thinking of the next big move at the turn of the year? Here are some in Machine Learning and AI research, for PIs and postdocs: ELLIS Institute Finland is looking for: - PIs who will also get a tenure track professorship, DL Jan 12: https://www.ellisinstitute.fi/PI-recruit-2026 - Postdocs: Call will open in January, DL early Feb: https://www.ellisinstitute.fi/postdoc-recruit-2026 - Postdoc in my group, DL Jan 4: https://www.aalto.fi/en/open-positions/postdoctoral-researcher-positions-in-probabilistic-machine-learning-research-group-aalto-university-1?check_logged_in=1 -- Samuel Kaski, Professor, Aalto University and University of Manchester Director, ELLIS Institute Finland and Finnish Center for Artificial Intelligence FCAI Turing AI Fellow, ELLIS Fellow https://kaski-lab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From mathias.verbeke at kuleuven.be Tue Dec 23 15:13:00 2025 From: mathias.verbeke at kuleuven.be (Mathias Verbeke) Date: Tue, 23 Dec 2025 20:13:00 +0000 Subject: Connectionists: PhD position at KU Leuven - Uncertainty-Aware Machine Learning for Risk Mitigation in Safety-Critical Systems Message-ID: PHD POSITION AT KU LEUVEN: UNCERTAINTY-AWARE MACHINE LEARNING FOR RISK MITIGATION IN SAFETY-CRITICAL SYSTEMS The DTAI research group (http://dtai.cs.kuleuven.be) embedded within the M-Group (https://iiw.kuleuven.be/onderzoek/m-group) at KU Leuven Bruges Campus has an open PhD position on AI Safety. This PhD research will focus on uncertainty-aware machine learning models, developing and evaluating techniques (e.g., Bayesian and interval neural networks) to quantify model uncertainty and monitor it during operation. This means creating and testing methods to assess how confident a model is in its predictions and using this information to detect and mitigate risks in real time. The work will concentrate on deep learning for vision and time-series tasks. The findings will be validated and demonstrated on realistic industry-grade demonstrator setups for both time series and vision. The full job description, including an elaborate description of the topic, the profile and the offer can be found via https://www.kuleuven.be/personeel/jobsite/jobs/60599754 Only complete applications made through KU Leuven?s online application tool will be considered. Contact for further information: Prof. dr. Mathias Verbeke (mathias.verbeke at kuleuven.be) and dr. Laurens Devos. Best regards, Mathias Verbeke -------------- next part -------------- An HTML attachment was scrubbed... URL: From tat at tchumatchenko.de Mon Dec 29 05:48:47 2025 From: tat at tchumatchenko.de (Tatjana Tchumatchenko) Date: Mon, 29 Dec 2025 11:48:47 +0100 Subject: Connectionists: Positions for international postdocs in the Tchumatchenko lab in Bonn/Germany Message-ID: Dear friends and colleagues, I am looking to recruit international postdoctoral fellows to my lab.? It would be great to attract scientists who didn't have yet exposure to the German neuroscience community and who would bring complementary expertise and perspectives. *Two postdoc positions (m/f/d) are available in the Tchumatchenko group.* The Tchumatchenko Group is seeking to attract two highly motivated postdoc candidates (0-5 years post PhD) to conduct research in the field of computational neuroscience. Prof. Tatjana Tchumatchenko was recently appointed a Henriette Herz scout at the Alexander von Humboldt foundation and is looking to attract two international postdocs though this funding scheme [1]. The ideal candidate will be an international, highly motivated, scientifically curious postdoctoral fellow with a strong work ethic and a PhD degree in life sciences, Neuroscience, Physics, Mathematics, Engineering or similar disciplines who looking to answer open question in computational neuroscience. Great social skills, excellent command of the English language and enthusiasm for working in a competitive interdisciplinary research team are essential. Potential scientific projects should lie either at the boundary between behavioral analysis and circuit neuroscience or at the boundary between molecular dynamics and circuit neuroscience:? how is the molecular dynamics organized across the brain and what are statistical differences across cell types? How can we design computational models and conduct data analysis at the level transcriptomes and proteomes to understand the implementation of physiological and behavioral conditions across the brain? How can we relate learning at the level of synapses and circuits to behavioral changes observed in animals? Can we identify behavioral states and link them to particular circuit activity states? Please send your application together with a cover letter, a CV with contact details from one academic reference and copies of all relevant degree certificates to tatjana.tchumatchenko at uni-bonn.de. Please include in your subject line ?AvH Application your name?. We are looking forward to your application! Duration and salary will be according to the fellowship scale of the Alexander von Humboldt foundation. Start date negotiable, preference for April to October 2026 or 2027. Tatjana Tchumatchenko Professor (W3) for Computational Neuroscience of Behavior Institute for Experimental Epileptology and Cognition Research Medical Faculty, University of Bonn Poppelsdorfer Allee 24 53115 Bonn www.tchumatchenko.de [1] https://www.humboldt-foundation.de/bewerben/foerderprogramme/henriette-herz-scouting-programm -------------- next part -------------- An HTML attachment was scrubbed... URL: From htlin at csie.ntu.edu.tw Sun Dec 28 19:27:59 2025 From: htlin at csie.ntu.edu.tw (Hsuan-Tien Lin) Date: Mon, 29 Dec 2025 08:27:59 +0800 Subject: Connectionists: Faculty Openings at NTU AI Center of Research Excellence Message-ID: The newly established research center, AI-CoRE at National Taiwan University, is inviting outstanding researchers with a Ph.D. in AI-related fields to apply for up to five full-time tenure-track faculty positions (Assistant Professor, Associate Professor, or Professor) beginning August 1, 2026. We offer a dynamic environment with competitive support, including merit-based supplements, access to major research projects, and rich computational resources, alongside opportunities for collaboration and joint appointments with NTU?s top engineering departments. Early-career scholars with a strong passion for research, teaching, and service are especially encouraged to apply by February 28, 2026. https://tinyurl.com/ntuaicore2026 -- -------------------------------------------------------------------------------- Hsuan-Tien Lin htlin at csie.ntu.edu.tw http://www.csie.ntu.edu.tw/~htlin ========== Professor Dept. of Computer Science and Information Engineering & Graduate Institute of Networking and Multimedia National Taiwan University -------------------------------------------------------------------------------- From christianbrodbeck at icloud.com Mon Dec 29 15:57:06 2025 From: christianbrodbeck at icloud.com (Christian Brodbeck) Date: Mon, 29 Dec 2025 15:57:06 -0500 Subject: Connectionists: Post-doc opportunity in natural language understanding Message-ID: <08A3AD23-4C07-4006-8ED5-B3024C053172@icloud.com> Hi all, We have a post-doc opportunity in the context of an industry collaboration (https://www.adderbeeresearch.com ), for someone interested in cognitive architectures and natural language understanding. Note that the focus is on a symbolic approach not involving neural networks. More details here: https://careers.mcmaster.ca/psp/prcsprd/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&Action=U&FOCUS=Applicant&SiteId=1001&JobOpeningId=73249&PostingSeq=1 Best, Christian Brodbeck Assistant Professor Department of Computing and Software McMaster University https://christianbrodbeck.net -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Mon Dec 29 20:53:50 2025 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Tue, 30 Dec 2025 01:53:50 +0000 Subject: Connectionists: NEURAL NETWORKS, Jan. 2026 Message-ID: Neural Networks - Volume 193, January 2026 https://www.journals.elsevier.com/neural-networks Announcement of the Neural Networks Best Paper Award DeLiang Wang Editorial: An EiC Transition and Continual Excellence DeLiang Wang, Taro Toyoizumi, Mauro Forti, Tongliang Liu Recurrent stochastic configuration networks with block increments Dianhui Wang, Gang Dang MSFI: Multi-timescale spatio-temporal features integration in spiking neural networks Dengfeng Xue, Wenjuan Li, Chunfeng Yuan, Haowei Liu, ... Zhetao Li State-space modeling in long sequence processing: a survey on recurrence in the transformer era Matteo Tiezzi, Michele Casoni, Alessandro Betti, Marco Gori, Stefano Melacci Learning global-view correlation for salient object detection in 3D point clouds Kan Huang, Nannan Li, Zhijing Xu A spiking network model of the cerebellum for predicting movements with diverse complex spikes Tomohiro Mitsuhashi, Yusuke Kuniyoshi, Koji Ikezoe, Kazuo Kitamura, Tadashi Yamazaki On the application of neural networks for structured domains to fMRI data Giovanni Donghi, Luca Pasa, Michele De Filippo De Grazia, Alberto Testolin, ... Nicol? Navarin EpilepsyFM: A domain-specific foundation model for epileptic representation learning using EEG signals Zhuoyi Li, Ning Zhu, Yifan Chen, Beibei Chen, ... Tuo Zhang GoFormer: A GoLPP inspired transformer for functional brain graph learning and classification Mengxue Pang, Lina Zhou, Xueying Yao, Jun Yang, ... Lishan Qiao Enhancing robustness of spiking neural networks through retina-like coding and memory-based neurons Jiahong Zhang, Kexin Wang, Man Yao, Han Xu, ... Guoqi Li Dynamic graph transformation with multi-task learning for enhanced spatio-temporal traffic prediction Nana Bu, Zongtao Duan, Wen Dang, Jianxun Zhao CausalCOMRL: Context-based offline meta-reinforcement learning with causal representation Zhengzhe Zhang, Wenjia Meng, Haoliang Sun, Gang Pan Hypergraph node representation learning with one-stage message passing Shilin Qu, Weiqing Wang, Yuan-Fang Li, Xin Zhou, Fajie Yuan Enhancing signed graph neural networks through curriculum-based training Zeyu Zhang, Lu Li, Xingyu Ji, Kaiqi Zhao, ... Maojun Wang Symmetrical bidirectional knowledge alignment for zero-shot sketch-based image retrieval Decheng Liu, Xu Luo, Chunlei Peng, Nannan Wang, ... Xinbo Gao Learning instrumental variable representation for debiasing in recommender systems Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, ... Guixian Zhang Domain-aware self-prompting for cross-domain sequential recommendations with natural language explanations Tesfaye Fenta Boka, Zhendong Niu, Tekie Tsegay Tewolde, Ramadhani Duma Focusing on pedestrians like human for clothes changing person re-identification Wenjie Pan, Jianqing Zhu, Xiaolin Cui, Huanqiang Zeng, Yibing Zhan Knowledge-distillation based personalized federated learning with distribution constraints Ziyang Zhang, Chang Mu, Kailing Guo, Xiang Tian, Xiangmin Xu Major depressive disorder detection via temporal-frequency-spatial transformer with sub-domain knowledge alignment using EEG Chen-Yang Xu, Fei-Yi Fan, Li-Xuan Zhao, Li-Cheng Jin, ... Qing-Hao Meng Counting with ease: Class-agnostic counting via one-shot detection across diverse domains Zhongxing Peng, Bohui Guo, Shugong Xu Enhancing feature discrimination with pseudo-labels for foundation model in segmentation of 3D medical images Ge Jin, Qian Zhang, Yong Cheng, Ming Xu, ... Jun Shi Tensorized anchor alignment for incomplete multi-view clustering Yiran Cai, Hangjun Che, Wei Guo, Baicheng Pan, Man-Fai Leung Dual-channel hierarchical interactive learning for the prediction of Protein-Ligand binding affinity Zheyu Wu, Huifang Ma, Bin Deng, Zhixin Li, Liang Chang A prompt-aware knowledge-tuning framework for histopathology subtype classification with scarce annotation Bo Yu, Jiuman Song, Lele Cong, Xianling Cong, ... Hechang Chen G-NeuroDAVIS: A generative model for data visualization through a generalized embedding Chayan Maitra, Rajat K. De Multi-site brain disease identification based on tensor decomposition and personalized federated learning Chaojun Zhang, Jing Yang, Yuan Gao, Xiangli Yang, ... Jieming Yang C^3aptioner: Improving change captioning by leveraging momentum cross-view and cross-modality contrastive learning Lin Deng, Borui Kang, Yuzhong Zhong, Maoning Wang, Jianwei Zhang C3GAN: A brain-inspired memory consolidation for class-incremental learning Lin Xiong, Tao Wang, Fuqing Zhang, Kangwen Zhu, Hailing Xiong Structure-preserving contrastive graph clustering with dual-channel label alignment Guang-Yu Zhang, Yan-Di Huang, Dong Huang, Chang-Dong Wang, ... Enbo Huang RefSAM: Efficiently adapting segmenting anything model for referring video object segmentation Yonglin Li, Jing Zhang, Xiao Teng, Haoyu Zhang, ... Long Lan Unified auxiliary restoration network for robust multimodal 3D object detection in adverse conditions Jae Hyun Yoon, Jong Won Jung, Seok Bong Yoo UTN: Unsupervised optical flow estimation network based on transformer Xiaochen Liu, Tao Zhang, Mingming Liu Joint noise detection and L_{2,p}-norm metric in least squares twin SVM for robust multiclass classification Chao Yuan, Xiaoyuan Xu, Farshad Arvin, Huiyu Mu, ... Jigen Peng MIIGAN: Mambas make strong GAN for infrared image generation Fuchao Wang, Huaici Zhao, Yuhuai Peng, Jian Fang, ... Ronghua Zhang IDMM-IDS: An efficient and robust intrusion detection system for the IoT based on the inverted Dirichlet mixture model Wenda He, Xiangrui Cai, Yiying Yu, Yuping Lai, Xiaojie Yuan Enabling generalized zero-shot learning towards unseen domains by intrinsic learning from redundant LLM semantics Jiaqi Yue, Chunhui Zhao, Jiancheng Zhao, Biao Huang Pseudo-distribution elite critics: Enhancing accuracy in reinforcement learning value estimation Yujia Zhang, Lin Li, Wei Wei, Jianguo Wu, Jiye Liang Visual reinforcement learning via sequential consistency preserved policy contrast from optimal transport view Zehua Zang, Jiangmeng Li, Chuxiong Sun, Rui Wang, ... Fuchun Sun Raw event-based adversarial attacks for Spiking Neural Networks with configurable latencies Xiao Du, Wanli Shi, Xiaohan Zhao, Yang Cao, ... Tieru Wu Dynamic reinforcement learning for actors Katsunari Shibata Learning in PINNs: Phase transition, diffusion equilibrium, and generalization Sokratis J. Anagnostopoulos, Juan Diego Toscano, Nikolaos Stergiopulos, George Em Karniadakis Backdoor samples detection based on perturbation discrepancy consistency in pre-trained language models Zuquan Peng, Jianming Fu, Lixin Zou, Li Zheng, ... Guojun Peng Scalable and effective negative sample generation for hyperedge prediction Shilin Qu, Weiqing Wang, Yuan-Fang Li, Quoc Viet Hung Nguyen, Hongzhi Yin GMSR: Gradient-integrated mamba for spectral reconstruction from RGB images Xinying Wang, Zhixiong Huang, Sifan Zhang, Jiawen Zhu, ... Lin Feng One-step bipartite graph cut: A normalized formulation and its application to scalable subspace clustering Si-Guo Fang, Dong Huang, Chang-Dong Wang, Jian-Huang Lai Rethinking softmax in incremental learning Zheng Zhai, Jiali Zhang, Haiyu Wang, Mingxin Wu, ... Qiang Sun Granular ball twin support vector machine with Universum data M.A. Ganaie, Vrushank Ahire Beyond single perspective bias: Fusing personalized and common preferences for comprehensive personal preference learning JiaXin Wu, Guangxiong Chen, Chenglong Pang, Jie Zhao, Eric W.K. See-To Pay more attention to the robustness of LLMs on adversarial prompt for instruction data mining Qiang Wang, Dawei Feng, Xu Zhang, Ao Shen, ... Huaimin Wang Heterogeneity-aware high-efficiency federated learning with hybrid synchronous-asynchronous splitting strategy Zijian Li, Boyuan Li, Kunyu Zhang, Bingcai Wei, ... Tony Q.S. Quek Adapformer: Adaptive channel management for multivariate time series forecasting Yuchen Luo, Xinyu Li, Liuhua Peng, Mingming Gong Dual-perspective decoupling network for kidney tumor segmentation on CT images Xinya Gan, Sheng Zhu, Yuan Zhang, Zhiqiang Wang, ... Xieping Gao GIMS: Image matching system based on adaptive graph construction and graph neural network Xianfeng Song, Yi Zou, Zheng Shi, Zheng Liu MSG: Stealing data from pruned neural networks via malicious sparsity guidance Jing Shang, Jian Wang, Kailun Wang, Nan Jiang, Jiqiang Liu Adaptive metric for knowledge distillation by deep Bregman divergence Tongtong Yuan, Zixuan Xu, Bo Liu, Yinan Tang DyFiLM: A framework to handle the distribution shifts on dynamic graphs with hypernetworks Fuyuan Ma, Yuhan Wang, Shixuan Ma, Yongzhen Li, ... Ying Wang FA-GCL: Feature-augmented graph contrastive learning method Long Xu, Honghui Chen Broad learning system via adaptive maximum weighted correntropy Yijing Wang, Lijie Wang, Tao Chen Complexity of brain-like signals in self-organised nanoscale networks Jamie K. Steel, Ford Wagner, Edoardo Galli, Susant K. Acharya, ... Simon A. Brown Region-guided attack on the segment anything model Xiaoliang Liu, Furao Shen, Jian Zhao A spatial-frequency hybrid restoration network for JPEG compressed image deblurring Shu Tang, Hanwen Zhang, Xinbo Gao, Shuli Yang, ... Hao Tian Dual aggregation based joint-modal similarity hashing for cross-modal retrieval Le Xu, Jun Yin Data-free knowledge distillation via text-noise fusion and dynamic adversarial temperature Deheng Zeng, Zhengyang Wu, Yunwen Chen, Zhenhua Huang Auction-guided model diffusion for communication-efficient federated learning on non-IID data Seyoung Ahn, Soohyeong Kim, Yongseok Kwon, Jiseung Youn, ... Sunghyun Cho Large-margin Softmax loss using synthetic virtual class Jiuzhou Chen, Xiangyang Huang, Shudong Zhang Learning from history for personalized federated learning Yingxun Fu, Shulan Yin, Li Ma, Jie Liu DSPy-based neural-symbolic pipeline to enhance spatial reasoning in LLMs Rong Wang, Kun Sun Mitigating low-frequency bias: Feature recalibration and frequency attention regularization for adversarial robustness Kejia Zhang, Juanjuan Weng, Yuanzheng Cai, Shaozi Li, Zhiming Luo Lightweight local and global granularity selection optimization network for single image super-resolution Zhihao Peng, Mang Hu, Xinyuan Qi, Sheng Wu, ... Linquan Yang Hardware friendly deep reservoir computing Claudio Gallicchio, Miguel C. Soriano Multi-graph clustering via multi-modal topological manifold learning Shaojun Shi, Canyu Zhang, Jiahao Zhao, Feiping Nie From external to internal: Step-wise feature enhancement network for image-text retrieval Jingyao Wang, Zheng Liu, Shanshan Gao, Junhao Xu, Changhao Li Dynamic scale position embedding for cross-modal representation learning Jungkyoo Shin, Sungmin Kang, Yoonsik Cho, Eunwoo Kim Quantity versus diversity: Influence of data on detecting EEG pathology with advanced ML models Martyna Poziomska, Marian Dovgialo, Przemys?aw Olbratowski, Pawe? Niedbalski, ... Jaros?aw ?ygierewicz Multi-view parallel convolutional network for organ segmentation in mediastinal region on CT images Yining Xie, Wei Zhou, Jiayi Ma, Fengjiao Wang, Jing Zhao A new local time-decoupled squared Wasserstein-2 method for training stochastic neural networks to reconstruct uncertain parameters in dynamical systems Mingtao Xia, Qijing Shen, Philip K. Maini, Eamonn A. Gaffney, Alex Mogilner A novel twin parametric-margin support vector machine with capped asymmetric elastic net loss Jianping Fu, Hu Yang Synchronization of neural networks with and without disturbance input via control Lyapunov function Yuting Cao, Linhao Zhao, Shiping Wen, Tingwen Huang GraphGuard: An adaptive approach for restoring accuracy in backdoor-compromised GNNs Adil Ahmad, Anwar Shah, Waleed Alnumay, Bahar Ali Hypothesis spaces for deep learning Rui Wang, Yuesheng Xu, Mingsong Yan Tempered fractional gradient descent: Theory, algorithms, and robust learning applications Omar Naifar Finite-time and fixed-time self-triggered synchronization of stochastic memristive neural networks and applications in secure communication Mingxin Wang, Song Zhu, Weiwei Luo, Zhen Zhang Stabilization of delayed stochastic reaction-diffusion Cohen-Grossberg neural networks via variable gain intermittent boundary control Yili Wang, Wu-Hua Chen, Shuning Niu, Xiaoyun Lu A semi-looped functional for sampled-data synchronization of delayed neural networks considering communication delay Yun-Hao An, Xing-Chen Shangguan, Hong-Zhang Wang, Yu-Fei Peng, ... Chuan-Ke Zhang Concept-enhanced heterogeneous graph network for fact verification Zhendong Chen, Lejian Liao, Siu Cheung Hui, Heyan Huang SPD-Updater: Symmetric positive definite manifold geometry based temporal updating for visual object tracking Jinglin Zhou, Tianyang Xu, Xuefeng Zhu, Xiao-Jun Wu, Josef Kittler Adaptive spatial feature extraction and graphical feature awareness for robust point cloud registration Yilin Chen, Yang Mei, Tao Lu, Lu Zou, ... Fazhi He Gabor-enhanced physics-informed neural networks for fast simulations of acoustic wavefields Mohammad Mahdi Abedi, David Pardo, Tariq Alkhalifah Large language modeling of hallucinatory problem mitigation based on the wheel of emotions Zhenyu Wang, Jianmin Wang, Zenan Lu, Fang You DRG: A dual relational graph framework for course recommendation Yong Ouyang, Zhen Ye, Lingyu Chen, Huanwen Wang, Yawen Zeng ITSEF: Inception-based two-stage ensemble framework for P300 detection Wenjun Hu, Dingguo Zhang, Wanzhong Chen Manod: A multi-modal anomaly detection framework for distributed system Wen Liu, Degang Sun, Haitian Yang, Yan Wang, Weiqing Huang A novel span and syntax enhanced large language model based framework for fine-grained sentiment analysis Haochen Zou, Yongli Wang, Anqi Huang AutoProfile: Automated profiling in deep learning-based side-channel analysis Yimeng Chen, Bo Wang, Changshan Su, Ao Li, ... An Wang Prediction of cancer drug response based on heterogeneous graph neural networks and multi-omics data Junming Zhang, Shuwen Xiong, Yugui Xu, Yongqing Zhang Spatial-frequency domain aggregation upsampling for pan-sharpening Yilong Liu, Kai Sun, Yuan Liu, Junying Hu, ... Jiangshe Zhang Multivariate distribution fitting for GANs via introducing variable correlations Yanxiang Gong, Feiyang Sun, Xin Ma Semi-LLIE: Semi-supervised contrastive learning with Mamba-based low-light enhancement Guanlin Li, Ke Zhang, Ting Wang, Ming Li, ... Xuelong Li Mitigating spectral bias in neural operators via high-frequency scaling for physical systems Siavash Khodakarami, Vivek Oommen, Aniruddha Bora, George Em Karniadakis Reduced storage direct tensor ring decomposition for convolutional neural networks compression Mateusz Gabor, Rafa? Zdunek PathTGSeg: The pathologic image segmentation of breast cancer via template matching and graphic calculation Junjie Li, Kaixiang Yan, Chuandong Guo Exploring the mechanical behavior of friction material composites using artificial intelligence D. Matt?, C.A. Perottoni Multimodal self-supervised retinal vessel segmentation Pengshuai Yin, Jingqi Zhang, Huichou Huang, Ruirui Liu, ... F. Richard Yu Inter-modality feature prediction through multimodal fusion for 3D shape defect detection Mujtaba Asad, Waqar Azeem, Hafiz Tayyab Mustafa, Yuming Fang, ... Wei Liu Tangency portfolios using graph neural networks Bin Liu, Haolong Li, Linshuang Kang TATrack: Target-oriented adaptive vision transformer for UAV tracking Wenkang Zhang, Tianyang Xu, Fei Xie, Jinhui Wu, Wankou Yang Dynamic network compression via probabilistic channel pruning Kwanhee Lee, Hyang-Won Lee Exploring the white matter disruptions for Schizophrenia based on convolutional ensemble kernel randomized network S.A. Varaprasad, Tripti Goel, M. Tanveer Dormant key: Unlocking universal adversarial control in text-to-image models Jingqi Hu, Li Li, Hanzhou Wu, Huixin Luo, Xinpeng Zhang Revisiting DIRE: towards universal AI-generated image detection Huanqi Lin, Jinghui Qin, Xiaoqi Wu, Tianshui Chen, Zhijing Yang -------------- next part -------------- An HTML attachment was scrubbed... URL: From gracewlindsay at gmail.com Tue Dec 30 13:26:12 2025 From: gracewlindsay at gmail.com (Grace Lindsay) Date: Tue, 30 Dec 2025 13:26:12 -0500 Subject: Connectionists: Postdoc on attention in VLMs at NYU Message-ID: I'm looking to hire a postdoc to study the attention abilities (i.e. ability to selectively process relevant sensory information) of large Vision-Language Models. The position will be based at the Center for Data Science at New York University. Interested candidates can find more information and instructions on how to apply here: https://lindsay-lab.github.io/2025/12/08/postdoc-ad.html -- Grace Lindsay Assistant Professor, Psychology & Data Science New York University gracewlindsay.com lindsay-lab.github.io *Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain* -------------- next part -------------- An HTML attachment was scrubbed... URL: From serafeim.perdikis at essex.ac.uk Tue Dec 30 17:45:08 2025 From: serafeim.perdikis at essex.ac.uk (Perdikis, Serafeim) Date: Tue, 30 Dec 2025 22:45:08 +0000 Subject: Connectionists: =?windows-1252?q?Essex_BCI-NE_webinar=3A_Advancin?= =?windows-1252?q?g_BCI_Spellers_for_real-world_use=3A_Recent_progress_in_?= =?windows-1252?q?c-VEP_paradigms_by_Eduardo_Santamar=EDa-V=E1zquez?= Message-ID: [cid:8d72b3d7-a009-48cf-a5c2-01ca2dbbca97] https://www.linkedin.com/company/essex-bcine-lab/ The Essex BCI-NE Lab invites you to join our next monthly webinar: Advancing BCI Spellers for real-world use: Recent progress in c-VEP paradigms Delivered by Dr Eduardo Santamar?a-V?zquez (Biomedical Engineering Group, University of Valladolid) The webinar will take place over Zoom on Wednesday, 21st January 2026, at 2pm UK time RSVP: https://www.linkedin.com/events/7411896219532300289/ Abstract: In this talk, Dr. Eduardo Santamar?a-V?zquez will review the latest advances in BCI spellers for communication and control using novel paradigms based on code-modulated visual evoked potentials (c-VEPs). The presented work introduces methodological advances that target key barriers to real-world adoption of this technology, including calibration time, visual fatigue, and robustness across users and sessions. It will also highlight how these contributions are enabling progress towards practical applications beyond the laboratory in both clinical and non-clinical contexts. In a brief second part, Dr. Santamar?a-V?zquez will present recent studies in complementary research lines, including neurofeedback-based interventions for stroke neurorehabilitation and cognitive training. Speaker Biography: Dr. Eduardo Santamar?a-V?zquez is a Research Scientist in the field of brain-computer interfaces (BCIs) at the Dpt. of Signal Theory and Communications of the University of Valladolid (UVa), member of the Biomedical Engineering Group at UVa (GIB-UVa, 2017), and member of the Center of Biomedical Research in Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN). His work focuses on advancing EEG-based BCI methods and applications, with contributions aimed at improving the accuracy, robustness, usability, and real-world application of BCI systems for communication and control. He also develops BCI systems for cognitive training and stroke neurorehabilitation, and contributes to EEG biomarker research in areas such as cognitive impairment, migraine, neuropsychiatric conditions, sleep, and anesthesia depth monitoring. In addition, Dr. Santamar?a-V?zquez leads the development of MEDUSA? (www.medusabci.com), an innovative platform to accelerate experimentation in BCI and cognitive neuroscience currently used by research groups and companies worldwide. The Essex BCI-NE Lab webinars series takes place monthly (usually, on the second or third Wednesday of the month) over Zoom and is 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: image.png Type: image/png Size: 237153 bytes Desc: image.png URL: