From announce at ucy.ac.cy Sat Nov 1 11:01:21 2025 From: announce at ucy.ac.cy (Announce) Date: Sat, 1 Nov 2025 15:01:21 +0000 Subject: Connectionists: The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026): Fourth Call for Contributions to the Special Tracks Message-ID: <2HKL1JWH-ENP7-6QP-7AEF-SFQZUSK7FOVA@ucy.ac.cy> *** Fourth Call for Contributions to the Special Tracks *** The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) May 25-29, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://cyprusconferences.org/aamas2026/ 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). Although the deadline for submissions to the Main Track is now over, we welcome submissions to the Special Tracks of AAMAS 2026. AAMAS 2026 will feature five special tracks: AAAI Track, JAAMAS Track, Blue Sky Ideas Track, Demo Track, and Competitions Track, as well as the Doctoral Consortium. AAMAS 2026 also welcomes proposals for workshops and tutorials. The AAAI Track welcomes AAAI-25 submissions rejected from the main AAAI track that are relevant to the AAMAS research community and received no reject review recommendations (all review scores are weak reject or above). The JAAMAS Track offers authors of papers recently published in the Journal of Autonomous Agents and Multiagent Systems (JAAMAS) that have not previously appeared as full papers in an archival conference the opportunity to present their work at AAMAS 2026. The focus of the Blue Sky Ideas Track is on visionary ideas, long-term challenges, new research opportunities, and controversial debate. The Demo Track allows participants from both academia and industry to showcase their latest developments in agent-based and robotic systems. The Competitions Track is an effective mechanism for motivating researchers to enhance discussions, share knowledge, and boost the development and evaluation of theory and practice of autonomous agents and multiagent systems. Finally, AAMAS invites PhD students working in the research areas covered by AAMAS to take part in the Doctoral Consortium (DC). The DC is an opportunity to interact closely with established researchers in your field as well as other PhD students to receive feedback on your work and to get advice on managing your career. The calls for each track above and for the Doctoral Consortium, along with the respective important dates, are available on the AAMAS 2026 web site. Workshops and Tutorials Furthermore, AAMAS 2026 invites proposals for workshops and tutorials. These will be held on May 25-26, 2026, immediately before the main program of the AAMAS conference. The objectives of the AAMAS 2026 workshop program are to stimulate and facilitate discussion, interaction, and comparison of approaches, methods, and ideas related to specific topics, both theoretical and applied, in the general area of Autonomous Agents and Multiagent Systems. The AAMAS 2026 workshops will provide an informal setting where participants will have the opportunity to discuss specific technical topics, fostering the active exchange of ideas and supporting community development. Tutorials will be half-day long and will be in person ? online/remote versions will not be accepted. A few full-day tutorials may be considered, but the proponents need to motivate their request when submitting their proposal. The calls for workshop and tutorial proposals, along with the respective important dates, are available on the AAMAS 2026 web site. Organizing Committee AAMAS 2026 General Chairs ? Viviana Mascardi, University of Genova, Italy ? John Thangarajah, RMIT University, Australia AAMAS 2026 Program Chairs ? Chris Amato, Northeastern University, United States of America ? Louise Dennis, University of Manchester, United Kingdom AAMAS 2026 Local Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus (Chair) ? Panayiotis Kolios, University of Cyprus, Cyprus (Vice Chair) If you have additional questions, please contact the Program Chairs using aamas2026pcs at gmail.com . -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Sun Nov 2 05:02:18 2025 From: announce at ucy.ac.cy (Announce) Date: Sun, 2 Nov 2025 10:02:18 +0000 Subject: Connectionists: The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): First Call for Doctoral Consortium Message-ID: *** First 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 ? Martijn Willemsen, Eindhoven University of Technology & JADS, The Netherlands -------------- next part -------------- An HTML attachment was scrubbed... URL: From serafeim.perdikis at essex.ac.uk Sat Nov 1 07:35:14 2025 From: serafeim.perdikis at essex.ac.uk (Perdikis, Serafeim) Date: Sat, 1 Nov 2025 11:35:14 +0000 Subject: Connectionists: Essex BCI-NE webinar: AI-enabled Brain-Computer Interfaces for Awareness Assessment by Prof. Damien Coyle Message-ID: Dear all, Please, take note of the next BCI-NE seminar featuring Professor Damien Coyle. [cid:4282fef0-1a15-407f-bf55-bf59a5ea1dc4] https://www.linkedin.com/company/essex-bcine-lab/ The Essex BCI-NE Lab invites you to join our next monthly webinar: AI-enabled Brain-Computer Interfaces for Awareness Assessment after Brain Injury and Assistive Technology, Rehabilitation and Entertainment Applications of Neurotechnology Delivered by Professor Damien Coyle Professor of Neurotechnology and Director, The Bath Institute for the Augmented Human, University of Bath Professor of Neurotechnology, Intelligent Systems Research Centre, Ulster University Founder and CEO, NeuroCONCISE Ltd The webinar will take place in Colchester campus and over Zoom on Thursday, 13th November 2025, at 4PM UK time RSVP: https://www.linkedin.com/feed/update/urn:li:activity:7390345923912073216 Abstract: Prolonged disorders of consciousness (PDoC) present a major challenge for assessment and communication. Motor imagery brain?computer interfaces (MI-BCIs) provide a promising means of detecting residual awareness by enabling modulation of sensorimotor oscillations through imagined movement. This presentation will share findings from a structured multi-phase MI-BCI study involving patients with unresponsive wakefulness syndrome (UWS), minimally conscious state (MCS), and locked-in syndrome (LIS). Across repeated training sessions, patients demonstrated the capacity to modulate sensorimotor rhythms and to respond to closed questions, with extended feedback and practice revealing clearer differentiation of cognitive abilities. These results highlight MI-BCI?s potential as a movement-independent, EEG-based approach to augment diagnostic assessment and deepen understanding of covert cognition. The talk will also present advances in continuous motion trajectory decoding (MTD) BCIs. The presentation will conclude by introducing AI-enabled wearable neurotechnology platforms developed by NeuroCONCISE Ltd that support large-scale data collection and user training, offering a scalable route from laboratory research to real-world impact. Speaker Biography: Damien Coyle is a Professor of Neurotechnology, a UKRI Turing AI Acceleration Fellow and Director of the Bath Institute for the Augmented Human, University of Bath. His research focuses on developing AI to address challenges associated with translating electrophysiological signals into control signals for brain-computer interface based neurotechnology and trialling neurotechnology on a large scale with patients and end-users including spinal injury, stroke, disorders of consciousness, and post-traumatic stress disorder. He is Founder and CEO of NeuroCONCISE Ltd (www.neuroconcise.co.uk), an award-winning, AI-enabled, wearable neurotechnology company. The Essex BCI-NE Lab webinars series takes place once per month over Zoom and the webinars 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 Simis (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 Sun Nov 2 02:53:41 2025 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 2 Nov 2025 08:53:41 +0100 Subject: Connectionists: =?utf-8?q?World_wide_VVTNS_series_=286th_season?= =?utf-8?q?=29=3A_Wednesday=2C_November_5=2C_2025=2C_at_11=3A00_am_?= =?utf-8?q?ET_-_Georges_Debr=C3=A9geas_CNRS=2C_Paris?= 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 Georges Debr?geas CNRS, Paris on the topic of Latent-aligned generative models uncover shared structure in spontaneous whole-brain dynamics? The lecture will be held on zoom on Wednesday, November 5, 2025, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Assessing how brain activity generalizes across individuals is a central challenge in experimental neuroscience. Traditional task- or stimulus-driven approaches align data through trial averaging and anatomical registration, but these methods fail for spontaneous activity, where no shared temporal reference exists. In this talk, I will introduce a statistical framework, called latent-aligned Restricted Boltzmann Machines, to build a common representational space from whole-brain recordings of spontaneous activity in multiple zebrafish larvae. This shared latent space, composed of spatially localized co-activation motifs or cell assemblies, allows bidirectional mapping of brain states: activity patterns from one fish can be encoded and decoded into another. The translated activity patterns retain their original spatial structure and show high plausibility within the recipient brain. We further use this shared space to segment spontaneous activity into discrete brain states and we quantify their Markovian transition statistics. Remarkably, these state-to-state dynamics are stereotyped across individuals, suggesting that spontaneous activity reflects intrinsic computational priors of neural processing. Together, these results demonstrate how probabilistic generative modeling can bridge individual variability and reveal conserved organizational principles of vertebrate brains. *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 sunzq at nju.edu.cn Mon Nov 3 00:44:57 2025 From: sunzq at nju.edu.cn (=?utf-8?B?5a2Z5rO9576k?=) Date: Mon, 3 Nov 2025 13:44:57 +0800 Subject: Connectionists: [CfP]: All is Ready for ISWC 2025! Message-ID: 24th International Semantic Web Conference (ISWC 2025) Nara, Japan November 2-6,  2025   Follow us: Twitter/X: @iswc_conf #iswc_conf ( https://twitter.com/iswc_conf ) LinkedIn: https://www.linkedin.com/company/iswc/   Mastodon Social: https://mastodon.social/@iswc_conf Bsky: https://bsky.app/profile/iswc-conf.bsky.social    =============================================== All is Ready for ISWC 2025! ISWC2025 is just around the corner - it all kicks off on November 2nd! In this email, you?ll find details about the conference proceedings - useful for everyone in our community - as well as a sneak peek at the social events planned for those joining us in person.  We can?t wait to see you soon and make this year?s ISWC an unforgettable experience! Proceedings  The proceedings are now available online, both the main volume, published by Springer Nature, and the Companion Volume, published by CEUR. You find links to the proceedings on our ?Accepted Papers page? https://iswc2025.semanticweb.org/#/program/acceptedpapers Are you looking for the metadata? They are available on http://www.scholarlydata.org/ You can download the dumps or use the SPARQL Endpoint Here?s a starter query for you, it will give you the number of accepted contributions by track: PREFIX conf: From shakeelzmail608 at gmail.com Mon Nov 3 04:46:47 2025 From: shakeelzmail608 at gmail.com (Shakeel Ahmad) Date: Mon, 3 Nov 2025 10:46:47 +0100 Subject: Connectionists: PhD Position F/M Multimodal automatic detection of stuttering-related disfluencies Message-ID: *Contract type : * Fixed-term contract *Level of qualifications required : * Graduate degree or equivalent *Fonction : * PhD Position Context * Introduction* Stuttering, a fluency disorder affecting millions of individuals, is characterized by stuttering-like disfluencies (blocks, prolongations, repetitions) linked to dysfunctions in speech motor control. While its automatic detection has already been explored using audio-based models, current systems remain limited by low robustness, difficulty in identifying certain disfluencies such as silent blocks, and reliance on scarce data. This PhD project proposes a multimodal approach (audio, video, text) to enhance the accuracy and robustness of disfluency detection, leveraging an audiovisual corpus of French-speaking individuals who stutter. The analysis will rely on modality-specific encoding techniques, followed by a strategic fusion of their representations for final classification. *Aims* The aim of this PhD is to design, develop, and evaluate a multimodal deep learning approach for the automatic detection of stuttering-like disfluencies in French, by combining audio, video, and textual modalities. The work will be based on an annotated audiovisual corpus of French-speaking people who stutter, with particular focus on disfluencies that are difficult to detect through audio alone, such as silent blocks, and on robustness to individual variability. Assignment *Missions* The doctoral candidate?s work will include the following tasks: - *Audio encoding*: Implement and adapt Stutternet (Sheikh, S. A., Sahidullah, M., Hirsch, F., & Ouni, S. ? 2021 ? *Stutternet: Stuttering detection using time delay neural network*, in EUSIPCO) to extract acoustic features relevant to disfluency detection by capturing temporal dependencies. - *Video encoding*: Develop and train vision models (e.g., C3D or Transformers) to analyze video sequences for visual cues of stuttering (facial tension, blinking, atypical movements). The extraction of facial landmarks (with OpenFace or MediaPipe) will also be explored as a complementary or alternative source of features. - *Text encoding*: Generate automatic transcriptions (via Whisper) and encode them using pre-trained language models (BERT, RoBERTa) to extract linguistic context and identify textual patterns characteristic of disfluencies. - *Multimodal fusion*: Implement and compare several strategies to fuse the representations from the three modalities, such as concatenation, adaptive attention mechanisms, or other approaches leveraging data complementarity. - *Classification and evaluation*: Develop a classifier operating on the fused representation to predict the presence or absence of stuttering within a given time window. Evaluation will rely on standard metrics (precision, recall, F1-score, AUC), and results will be compared to expert manual annotations. Qualitative analyses will also be conducted to interpret model errors and refine the approach. Beyond detection, this PhD aims to contribute methodologically to the field of multimodal fusion applied to pathological speech, with potential impact in clinical contexts. Main activities *Required Skills* The candidate should hold a Master?s degree in computer science, have strong skills in machine learning and deep learning, and be proficient in Python and frameworks such as PyTorch or TensorFlow. An interest in signal processing (audio/video) and ideally in NLP is expected. Autonomy, rigor, critical thinking, and analytical abilities are essential, along with strong communication skills to work in a multidisciplinary environment. An interest in phonetics, linguistics, and speech disorders?particularly stuttering?would be a plus. Skills *Expected Skills* The candidate should hold a master?s degree in computer science, with strong skills in machine learning and deep learning, solid proficiency in Python and frameworks such as PyTorch or TensorFlow, as well as an interest in signal processing (audio/video) and, ideally, in NLP. Autonomy, rigor, critical thinking, and analytical abilities are essential, as well as good communication skills to thrive in a multidisciplinary environment. An interest in phonetics, linguistics, and speech disorders?particularly stuttering?will be a plus. The candidate should also have the ability to work effectively in a multidisciplinary team. Benefits package - Restauration subventionn?e - Transports publics rembours?s partiellement - Cong?s: 7 semaines de cong?s annuels + 10 jours de RTT (base temps plein) + possibilit? d'autorisations d'absence exceptionnelle (ex : enfants malades, d?m?nagement) - Possibilit? de t?l?travail (apr?s 6 mois d'anciennet?) et am?nagement du temps de travail - ?quipements professionnels ? disposition (visioconf?rence, pr?ts de mat?riels informatiques, etc.) - Prestations sociales, culturelles et sportives (Association de gestion des ?uvres sociales d'Inria) - Acc?s ? la formation professionnelle - S?curit? sociale Remuneration ?2300 gross/month Job Details: https://jobs.inria.fr/public/classic/en/offres/2025-09498/topdf -- Kind Regards, Dr. Shakeel A. Sheikh, Prof Slim Ouni -------------- next part -------------- An HTML attachment was scrubbed... URL: From roderich.gross at tu-darmstadt.de Mon Nov 3 08:44:07 2025 From: roderich.gross at tu-darmstadt.de (=?utf-8?B?R3Jvw58sIFJvZGVyaWNo?=) Date: Mon, 3 Nov 2025 13:44:07 +0000 Subject: Connectionists: Final CFP: ANTS 2026 (15th International Conference on Swarm Intelligence) Message-ID: Final Call for Papers ANTS 2026 ? 15th International Conference on Swarm Intelligence June 8?10, 2026 darmstadtium ? Science and Congress Center, Darmstadt, Germany https://ants2026.org ? The submission deadline is approaching! Important Dates ? Submission deadline: 10 November 2025 ? Notification of acceptance: 30 January 2026 ? Camera-ready deadline: 13 February 2026 ? Conference: 8?10 June 2026 Conference Scope Since its inception in 1998, ANTS has been a highly selective, single-track meeting that provided a forum for discussing advances in the field of swarm intelligence. It solicits submissions presenting significant, original research from researchers and practitioners of any area related to swarm intelligence. Swarm intelligence is an interdisciplinary and rapidly evolving field, rooted in the study of self-organizing processes in both natural and artificial systems. Researchers from disciplines ranging from ethology to statistical physics have developed models that explain collective phenomena, such as decision-making in social insect colonies and collective movements in human crowds. Swarm-inspired algorithms and methods have proven effective in solving complex optimization problems and creating multi-robot and networked systems of unparalleled resilience, adaptability and scalability. Applications of swarm intelligence continue to grow and become increasingly critical for addressing societal challenges such as environmental sustainability, food security, health, and global conflicts. The 2026 theme is: "Reaching beyond ? swarm intelligence across systems, disciplines, and communities." The conference seeks to encourage new perspectives, help bridge traditional boundaries and enable open debate on what could be ambitious, exploratory, and groundbreaking endeavors to embark on. Video Submissions Authors may optionally submit an accompanying video with their paper. Accepted videos will be published as electronic supplementary material on Springer Nature Link and peer-reviewed alongside the paper. ? Up to four Best Video Awards (EUR 250 each) sponsored by Springer Nature will recognize outstanding submissions. Topics of Interest Papers are solicited in all areas of swarm intelligence, including, but not limited to: * Theoretical foundations of swarm intelligence and collective phenomena * Modeling and analysis of self-organizing systems in nature, including many-particle systems, cellular systems, insect colonies, bird flocks, and human crowds * Decision making in large groups e.g. consensus dynamics, mean-field games, social choice theory * Swarm robotics, including colloidal systems, micro-robots, drones, and other autonomous vehicles * Swarm optimization algorithms, including ACO, PSO, ABC * LLMs and GenAI-in-the-loop systems in combination with swarm intelligence * Large-scale distributed networks, such as smart dust, smart cities, or social networks * Robotic materials and modular robots capable of self-repair, self-assembly or shape-shifting * Distributed learning, coordination, and control in many-agent systems * Human-centered swarm intelligence and human-swarm interaction * Sustainable technologies for artificial and bio-hybrid swarms * Creative and expressive uses of swarm principles in art, design and education * Benchmarking and reproducibility in swarm intelligence research * Ethical and societal implications of applications of swarm intelligence research * Applications of swarm intelligence to real-world challenges Invited plenary talks * Guido de Croon, Delft University of Technology, The Netherlands * Sharon Glotzer, University of Michigan, USA Invited perspective talks * Amanda Prorok, University of Cambridge, UK * Thomas Watteyne, Analog Devices, USA * Liam Young, SCI Arc, USA Submissions Papers should be 7?11 pages (excluding references) using the Springer LNCS LaTeX template. The proceedings will be published in the LNCS series. Selected works will be invited for an extended version in a special issue of Swarm Intelligence. ? Submit your paper now via the portal at https://ants2026.org Continuing with a tradition started at ANTS 2002 , the "Best Paper Award" at ANTS 2026 consists of a custom made sculpture of an ant specially made for the ANTS conference series by the Italian sculptor Matteo Pugliese. Venue ANTS 2026 will be held for the first time in Darmstadt, Germany, at the darmstadtium ? Science and Congress Center, hosted by Technical University of Darmstadt. The venue is within walking distance of the UNESCO World Heritage Mathildenh?he, offering a unique blend of cutting-edge research and cultural heritage. ? More information: https://ants2026.org Follow us on Bluesky and LinkedIn -------------- next part -------------- An HTML attachment was scrubbed... URL: From Marwa.Mahmoud at glasgow.ac.uk Mon Nov 3 11:43:31 2025 From: Marwa.Mahmoud at glasgow.ac.uk (Marwa Mahmoud) Date: Mon, 3 Nov 2025 16:43:31 +0000 Subject: Connectionists: FG2026 - Call for Competitions Message-ID: Dear Colleagues (apologies for cross-posting), Call for Competitions at: The 20th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2026) May 25th ? 29th, 2026, Kyoto, Japan. https://fg2026.ieee-biometrics.org/ We invite proposals for competitions to be held in conjunction with the 2026 IEEE International Conference on Automatic Face and Gesture Recognition (FG 2026), which will be held in Kyoto, Japan. The competitions provide a forum for challenging, stimulating, and benchmarking cutting?edge research in face, gesture, and related visual?computing tasks. We solicit competition proposals on any topic of relevance to the FG community, especially from emerging directions or novel application domains related to face and gesture analysis. Interdisciplinary topics relevant to a significant cross-section of the community (e.g., those linking FG to health, accessibility, robotics, human?machine interaction, or social good) are particularly welcome. Types of Competitions We envisage at least three possible types of competitions (but are open to creative alternatives): 1. Standard (offline) data?science competitions ? Participants compete to achieve the best performance on a machine learning task of importance to the FG community based on data and clearly defined metrics provided by the organizers of the competition. 2. Live / demo competitions ? held in a ?science-fair? style at FG 2026, where participants bring interactive demonstrations applying their approaches to real-world problems or specific domains defined by the organizers. 3. Lab to Market / Entrepreneurial competitions ? designed to highlight the translation of research outcomes into deployable, real-world solutions. Organizers may design competitions that encourage participants to demonstrate the market readiness, societal relevance, or commercial potential of technologies related to face and gesture understanding. The goal is to bridge research innovation with market validation and showcase pathways from lab to product. What We Look for in Proposals Competition proposals will be evaluated by the Competition Chairs. Each proposal will be reviewed for: - Task selection: Originality, relevance, and interest to the community. - Evaluation protocol and metrics: Clarity, fairness, reproducibility, and robustness. - Data and resources: Quality, diversity, annotation, and representativeness. - Feasibility and logistics: Realistic timeline, infrastructure, and communication plans. - Engagement and outreach: Strategies to attract participants and foster inclusivity. - For lab to market competitions, clarity of problem?solution alignment, evidence of real-world relevance, and potential for societal or market impact. - Organizer expertise and diversity: Experience and diversity of the organizing team. - Presentation plan: Tentative schedule and resource requirements for FG 2026. Proposal Preparation and Submission: Competition proposals (for all types) should be submitted via the official conference submission system by selecting the Competition track: https://cmt3.research.microsoft.com/FG2026 Please follow the structure of, and adapt, the provided template here: https://www.overleaf.com/read/ynkmqnpswykr#ab0b9a Important Dates ( and tentative timeline): - Competition proposal submission deadline: November 21, 2025 - Acceptance notification to organizers: November 28, 2025 For Standard Competitions: - Competition launch (data release): Start January 2026 - Submission deadline (Test Results): Mid February 2026 - Result evaluation and feedback: Start March 2026 - Paper Submission: Mid March 2026 For Live Demo and Entrepreneurial Competitions: - Competition Launch: Mid January 2026 - Demo and pitch submissions: Mid February 2026 - Notification of results: Start March 2026 - Paper submissions: Mid March 2026 Additional Notes - Competition organizers may request assistance regarding competition platforms or infrastructure. - FG 2026 will provide support for poster/demo space/pitch and logistics during the conference. - Organizers are encouraged to make evaluation code, baselines, and data public at the competition launch. - Competitions involving sensitive data must address privacy, consent, bias, and legal compliance. - Competition chairs will coordinate review, selection, and integration into the program. Competition Chairs Chirag Raman, TU Delft, The Netherlands (c.a.raman at tudelft.nl) Jyoti Joshi Dhall, Monash University, Kroop AI, Australia (jyoti.joshi at monash.edu) Contact and Inquiries For questions or advice (e.g., about platforms or logistics), please contact the FG 2026 Competition Chairs via the email addresses above. We look forward to your innovative competition proposals and to showcasing the next frontier of face and gesture analysis! -------------- next part -------------- An HTML attachment was scrubbed... URL: From claudio.piciarelli at uniud.it Mon Nov 3 09:38:01 2025 From: claudio.piciarelli at uniud.it (Claudio Piciarelli) Date: Mon, 3 Nov 2025 14:38:01 +0000 Subject: Connectionists: VisionDocs @ WACV 2026 - Computer Vision Systems for Document Analysis and Recognition Message-ID: [Apologies if you receive multiple copies] =================================== CALL FOR PAPER: VisionDocs @ WACV2026 Website: https://sites.google.com/view/avml-lab-visiondocs-wacv2026/home =================================== We are glad to announce VisionDocs: 3rd Workshop on Computer Vision Systems for Document 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 or 7, 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: Dec 1, 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 or March 7, 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 d.bush at ucl.ac.uk Tue Nov 4 03:27:08 2025 From: d.bush at ucl.ac.uk (Bush, Daniel) Date: Tue, 4 Nov 2025 08:27:08 +0000 Subject: Connectionists: =?iso-8859-1?q?Fully_funded_PhD_position_for_Chin?= =?iso-8859-1?q?ese_nationals=A0in_rodent_electrophysiology_analysis_at_QM?= =?iso-8859-1?q?U_=28London=29=A0?= Message-ID: Dear colleagues Please see here for details of a fully funded PhD position for Chinese nationals at Queen Mary University (London, UK). The project will primarily focus on the analysis of rodent electrophysiology data from the hippocampal formation, under the joint supervision of Guifen Chen (QMU) and Daniel Bush (UCL). Data collection and computational modelling could also be incorporated, according to the successful applicant's interests and skills. This project offers a unique opportunity to bridge neuroscience, data science, and AI, helping to uncover how the brain turns transient experience into lasting memory. Please note that applicants must be a Chinese citizen and hold a Chinese passport so that they are eligible for CSC funding. Experience of programming in Matlab or Python, a good understanding of maths and/or experience of rodent experiments are also highly desirable. For more details, please feel free to contact Guifen Chen (guifen.chen AT qmul.ac.uk) or Daniel Bush (d.bush AT ucl.ac.uk). Many thanks Dan ---------------------------------------------------- Dr. Daniel Bush GM01, Medical Sciences Building, Gower Street, London, WC1E 6BT Principal Investigator, UCL Human Electrophysiology Lab Associate Professor, UCL Department of Neuroscience, Physiology and Pharmacology Associate Editor, PLoS Computational Biology -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Tue Nov 4 08:12:43 2025 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Tue, 4 Nov 2025 08:12:43 -0500 Subject: Connectionists: Tadahiro Taniguchi speaking on Thursday, November 13 in Developing Minds global online lecture series Message-ID: <60E76129-3314-42ED-894A-52C4DAE8A58B@fias.uni-frankfurt.de> Dear colleagues, On November 13, the Developing Minds global online lecture series is proud to host Tadahiro Taniguchi from Kyoto University, Japan, speaking on: "Developing Collective Minds: Symbol Emergence and Co-creative Learning via Collective Predictive Coding?. Thursday, November 13, 2025 3 am EST (Eastern Standard Time, US) 8 am UTC (Universal Coordinated Time) 9 am CET (Central European Time) 5 pm JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/62848974907?pwd=wKdKlyBSVirfJqzrFfULhhOiuqANtR.1 Meeting-ID: 628 4897 4907 Kenncode: 735273 Abstract: This talk introduces the Collective Predictive Coding (CPC) hypothesis, a computational theory for how collective minds develop. CPC extends the Free Energy Principle (FEP) to the societal level, positing that interacting agents (both human and artificial) collaboratively minimize their collective prediction error through interaction. We argue that this process, functioning as a form of decentralized Bayesian inference embodied in interaction games, is the engine for symbol emergence. It provides a mechanism for agents to integrate their partial and heterogeneous perceptual information, leading to a shared, co-created understanding that exceeds the capabilities of any single agent. The CPC framework provides a scientific foundation for "co-creative learning," a new paradigm for human-AI interaction where systems learn with humans, rather than merely from them. This contrasts with traditional AI alignment, which often assumes a unilateral transfer of knowledge. CPC enables a bilateral, organic alignment that emerges from continuous, mutual interaction. This bottom-up, co-creative process offers a compelling alternative to top-down alignment methods, paving the way for a future of human-AI symbiosis. It allows humans and AI to co-evolve, generate new knowledge together, and realize the development of true collective minds. Short Bio: Tadahiro Taniguchi is a Professor at the Graduate School of Informatics, Kyoto University. He received his M.E. in 2003 and Ph.D. in Engineering in 2006, both from Kyoto University. He began his academic career at Ritsumeikan University, serving as an Assistant Professor, Associate Professor, and Professor in the College of Information Science and Engineering before assuming his current position at Kyoto University in 2024. During his tenure at Ritsumeikan, he was also a Visiting Associate Professor at Imperial College London from September 2015 to September 2016. Concurrently, he serves as a Senior Technical Advisor at Panasonic Holdings Corporation, an Affiliate Professor at Ritsumeikan University, a Director of the Tomorrow Never Knows association, Representative Director of the Bibliobattle Association, Director of the AI Robot Association (AIRoA), a Technical Advisor for ABEJA, Inc., and the Chair of the IEEE Cognitive and Developmental Systems Technical Committee. His research interests include artificial intelligence, emergent systems, and cognitive and developmental robotics. He is a pioneer in the field of "Symbol Emergence in Robotics," a constructive approach to understanding the mechanisms of language acquisition and semantic understanding from the perspective of the symbol grounding problem. Dr. Taniguchi has received numerous awards, including the Academic Encouragement Award from the Society of Instrument and Control Engineers (SICE), the Paper Award from the Institute of Systems, Control and Information Engineers (ISCIE), and the Advanced Robotics Best Survey Paper Award. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From dhansel0 at gmail.com Tue Nov 4 10:52:10 2025 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 4 Nov 2025 07:52:10 -0800 Subject: Connectionists: =?utf-8?q?REMINDER=3A_World_wide_VVTNS_series_=28?= =?utf-8?q?6th_season=29=3A_Wednesday=2C_November_5=2C_2025=2C_at_1?= =?utf-8?q?1=3A00_am_ET_-_Georges_Debr=C3=A9geas_CNRS=2C_Paris?= 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 Georges Debr?geas CNRS, Paris on the topic of Latent-aligned generative models uncover shared structure in spontaneous whole-brain dynamics? The lecture will be held on zoom on Wednesday, November 5, 2025, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Assessing how brain activity generalizes across individuals is a central challenge in experimental neuroscience. Traditional task- or stimulus-driven approaches align data through trial averaging and anatomical registration, but these methods fail for spontaneous activity, where no shared temporal reference exists. In this talk, I will introduce a statistical framework, called latent-aligned Restricted Boltzmann Machines, to build a common representational space from whole-brain recordings of spontaneous activity in multiple zebrafish larvae. This shared latent space, composed of spatially localized co-activation motifs or cell assemblies, allows bidirectional mapping of brain states: activity patterns from one fish can be encoded and decoded into another. The translated activity patterns retain their original spatial structure and show high plausibility within the recipient brain. We further use this shared space to segment spontaneous activity into discrete brain states and we quantify their Markovian transition statistics. Remarkably, these state-to-state dynamics are stereotyped across individuals, suggesting that spontaneous activity reflects intrinsic computational priors of neural processing. Together, these results demonstrate how probabilistic generative modeling can bridge individual variability and reveal conserved organizational principles of vertebrate brains. *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 Wed Nov 5 05:33:52 2025 From: announce at ucy.ac.cy (Announce) Date: Wed, 5 Nov 2025 10:33:52 +0000 Subject: Connectionists: The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026): Last Call for Workshop and Competition Proposals Message-ID: *** Last Call for Workshop and Competition Proposals *** 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. Workshops AAMAS 2026 invites proposals for the workshop program, which will be held on May 25-26, 2026, immediately before the main program of the AAMAS conference. The objectives of the AAMAS 2026 workshop program are to stimulate and facilitate discussion, interaction, and comparison of approaches, methods, and ideas related to specific topics, both theoretical and applied, in the general area of Autonomous Agents and Multiagent Systems. The AAMAS 2026 workshops will provide an informal setting where participants will have the opportunity to discuss specific technical topics, fostering the active exchange of ideas and supporting community development. We invite the submission of workshop proposals for review. We encourage workshops proposals that focus on emerging topics, open research questions and challenges, as well as broader subjects of interest to a wider community. Additionally, we welcome workshops with previous editions at AAMAS that can attract established communities working in the same research area. Workshops may vary in length from half a day to two days, though most are expected to last one full day. Attendance will be limited to registered participants, and both organizers and attendees must register for their workshop, which will have a separate fee from the main conference. Workshop attendees are not required to register for the main AAMAS conference if they do not plan to attend it, though this is highly encouraged. AAMAS 2026 will be an in-person event in Paphos, Cyprus. AAMAS 2026 reserves the right to cancel workshops if the registration numbers do not cover their operating costs. Competitions We are glad to announce the third edition of the AAMAS Competition track at AAMAS 2026. Competitions are an effective mechanism for motivating researchers to enhance discussions, share knowledge, and boost the development and evaluation of theory and practice of autonomous agents and multiagent systems. By proposing challenging competitions to the AAMAS community, competition proposers contribute to pushing the state-of-the-art in specific areas or to solving problems of practical importance. We invite competition proposals on topics of interest to the AAMAS community. We encourage submissions from emerging areas or novel application scenarios relevant to the AAMAS community. Submissions from established areas for which the competition may serve as a stimulus to advance theory and practice or renew the interest of young researchers in the area are also welcome. We highly value interdisciplinary topics that have the potential to attract a significant cross-section of the community. If the accepted competition involves the development of tools and platforms for supporting agent development, the proposer(s) will be encouraged to submit a Demonstration paper at AAMAS 2027 summarizing the design, development, and outcomes of their competition at the 2026 conference. At least one proposer of each accepted competition is required to register and attend the conference to run the finals of the competition and/or to announce the winners. Important Dates (AoE) Workshop Proposals ? Submission Deadline: November 10, 2025 ? Notification: December 3, 2025 ? Workshops Announcement: December 10, 2025 ? Deadline to Post CFP & Website: December 17, 2025 ? Recommended Paper Deadline: February 4, 2026 ? Recommended Acceptance Notification: March 20, 2026 ? Workshops: May 25-26, 2026 Competition Proposals ? Submission Deadline: November 10, 2025 ? Notification: December 3, 2025 ? Competitions: May 25-26, 2026 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 robert.legenstein at tugraz.at Wed Nov 5 06:31:56 2025 From: robert.legenstein at tugraz.at (Robert Legenstein) Date: Wed, 5 Nov 2025 12:31:56 +0100 Subject: Connectionists: Open PhD position - Brain-inspired Machine Learning and Spiking Neural Networks Message-ID: <791e5848-e3d2-43d6-afc3-596b9dbd906e@tugraz.at> The Lab of Robert Legenstein at Graz University of Technology (Austria) https://www.tugraz.at/institute/iml/people/prof-legenstein/ is offering a funded PhD position (Univ. Assistant) in the areas Brain-inspired Machine Learning/Spiking Neural Networks. In paticular, we will investigate brain-inspired models that bridge between sub-symbolic and symbolic artificial intelligence approaches in the context of the Cluster of Excellence Bilateral AI: https://www.bilateral-ai.net A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. For details and application portal, see https://jobs.tugraz.at/en/jobs/2a6e0939-accb-36e0-f2b6-68da792d9797?preview=true -- Dr. Robert Legenstein Univ.-Professor Institute of Machine Learning and Neural Computation Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.iml.tugraz.at/legi/ WebEx: https://tugraz.webex.com/meet/robert.legenstein ++43/316/873-5824 ---------------------------------- From evomusart at gmail.com Wed Nov 5 10:38:00 2025 From: evomusart at gmail.com (EvoMUSART) Date: Wed, 5 Nov 2025 15:38:00 +0000 Subject: Connectionists: Extended Paper Submission Deadline: EvoMUSART 2026 (15th International Conference on AI in Music, Sound, Art & Design) Message-ID: Extended Paper Submission Deadline: 15th International Conference on Artificial Intelligence in Music, Sound, Art & Design (EvoMUSART) ? Please distribute ? Apologies for cross-posting ------------------------------------------------ The 15th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will take place on 8?10 April 2026, in Toulouse, France, as part of the evo* event. *EvoMUSART webpage:* www.evostar.org/2026/evomusart *Extended Submission Deadline:* 15 November 2025 AoE *Conference: *8-10 April 2026 *Location:* Toulouse, France EvoMUSART is a multidisciplinary conference that brings together researchers who are working on the application of Artificial Neural Networks, Evolutionary Computation, Swarm Intelligence, Cellular Automata, Alife, and other Artificial Intelligence techniques in creative and artistic fields such as Visual Art, Music, Architecture, Video, Digital Games, Poetry, or Design. This conference offers researchers and practitioners in the field an opportunity to present, promote, and discuss ongoing work in these areas. Submissions must be at most *14 pages in Springer LNCS format (excluding references)*. Each submission must be anonymised for a double-blind review process. Accepted papers will be presented orally or as posters at the event and included in the EvoMUSART proceedings published by Springer Nature in a dedicated volume of the Lecture Notes in Computer Science series. Indicative topics include, but are not limited to: - Systems that create drawings, images, animations, sculptures, poetry, text, designs, webpages, buildings, *etc.;* - Systems that create musical pieces, sounds, instruments, voices, sound effects, sound analysis, *etc.;* - Systems that create artefacts such as game content, architecture, furniture, based on aesthetic and functional criteria; - Robotic-based Evolutionary Art and Music; - Other related artificial or generative techniques in the fields of Computer Music, Computer Art, *etc.* - Techniques for automatic fitness assignment; - Systems in which an analysis or interpretation of the artworks is used in conjunction with artificial intelligence techniques to produce novel objects; - Systems that resort to artificial intelligence approaches to perform the analysis of image, music, sound, sculpture, or some other types of artistic object or resource. - Systems in which artificial intelligence is used to promote the creativity of a human user; - New ways of integrating the user in the evolutionary cycle; - Analysis and evaluation of: the artistic potential of biologically inspired art and music; the artistic processes inherent to these approaches; the resulting artefacts; - Collaborative distributed artificial art environments; - Contextualisation of creative AI in cultural, economic, social, political or ecological discourse; - Computational Aesthetics, Experimental Aesthetics; Emotional Response, Surprise, Novelty; - Representation techniques; - Surveys of the current state-of-the-art in the area; identification of weaknesses and strengths; comparative analysis and classification; - Validation methodologies; - Studies on the applicability of these techniques to related areas; - New models designed to promote the creative potential of biologically inspired computation. More information on the submission process and topics: www.evostar.org/2026/evomusart Papers published in previous editions of evoMusArt: https://evomusart-index.dei.uc.pt We look forward to seeing you at EvoMUSART 2026 in Toulouse! The EvoMUSART 2026 organisers Penousal Machado Juan J. Romero S?rgio M. Rebelo (publication chair) -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Wed Nov 5 16:18:54 2025 From: dhansel0 at gmail.com (David Hansel) Date: Wed, 5 Nov 2025 13:18:54 -0800 Subject: Connectionists: [seminar.wwtns] New recordings are available on the VVTNS website In-Reply-To: References: Message-ID: [image: VVTNS.png] > > > https://www.wwtns.online > > - on twitter: wwtns at TheoreticalWide - on Youtube > New recordings available on the VVTNS website https://www.wwtns.online/past-seminars-2024-2025 ---------------------------- The First Memorial Carl van Vreeswijk Lecture Do contemporary, machine-executable models of primate sensory systems unlock the ability to non-invasively, beneficially modulate high level brain states? delivered on April 9, 2025 by James DiCarlo MIT ---------------------------- Learning generative dynamical systems models from multi-modal and multi-animal neuro-data delivered on April 23, 2025 by Daniel Durstewitz Central Institute of Mental Health, Mannheim ------------------------------------------------- Energy efficient learning in neural networks delivered on May 7, 2025 by Mark van Rossum University of Nottingham ------------------------------------------------- Neural mechanisms of memory linking and replay: inhibition matters delivered on May 14, 2025, by Tomoki Fukai Okinawa Institute of Science and Technology ------------------------------------------------- >From neurons to Newtons: Brain evolution as a machine learning problem delivered on May 21, 2025 by Alexei Koulakov Cold Spring Harbor Laboratory *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* April, 13, 2022 ? ? ? ? ? ? ? -------------- 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 Thu Nov 6 02:49:19 2025 From: announce at ucy.ac.cy (Announce) Date: Thu, 6 Nov 2025 07:49:19 +0000 Subject: Connectionists: International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026): Last Call for Research Papers (1st Round) Message-ID: *** Last Call for Research Papers (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 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 16 pages excluding references): Research papers must present original, unpublished work with validated results through empirical evaluation, formal analysis, or implementation-based experiments. Submissions must clearly articulate the problem, its relevance, the proposed contribution, and validation results. ? Short Papers (6 - 8 pages excluding references): Short papers present early-stage research, novel ideas, or conceptual proposals that are not yet fully developed or validated but offer promising directions. These papers should articulate the vision, motivation, and potential impact. Formatting Papers must use the Springer LNCS template according to: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines Springer provides author guidelines that should be consulted for further details: https://resource-preview-cms.springernature.com/springer-cms/rest/v1/content/19242230/data/v17 Submission Link Submissions should be made via Easy Chair, selecting the research track: https://easychair.org/conferences?conf=variability2026 Paper Originality, Double-Blind Policy, Reviewing All papers must be original and not under review elsewhere. Submissions will be double- blind and reviewed by at least three experts. Submissions will be evaluated based on their novelty, relevance, rigor, transparency, and presentation. Authors of submissions to the first deadline might be invited to submit a revision of their papers to the second deadline, which will be reviewed as a revision. Accepted papers will be published in the VARIABILITY 2026 proceedings by Springer in the LNCS series. Revisions Research-track papers can be submitted to the first or second cycle. In the first cycle, papers can receive the following decisions: accept, revision, or reject. Revision means that the reviewers believe that the paper has potential, but that its quality or contribution is not yet ready for publication. Such papers are offered lightweight shepherding by a community member, who is not necessarily a PC member or reviewer. Revised papers should be submitted to the second cycle together with a response letter, explaining how the reviewer comments were addressed. They are then reviewed by the same PC members. Papers rejected in the first cycle can be resubmitted in the second cycle, but need to contain an appendix ?Changes to First-Cycle Submission? at the end of the PDF (after references, regardless of the page limit) that lists the major changes in bullet-point format. 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 ? 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 mtkostecki at gmail.com Thu Nov 6 10:33:06 2025 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Thu, 6 Nov 2025 16:33:06 +0100 Subject: Connectionists: Deadline approaching: Why are there neuroscientists? Workshop of Ideas in Neuroscience, Dec 5th Message-ID: Hello, We would like to remind you that there is just one week left for registration for our workshop, *Why are there neuroscientists?*, that will be held in Heidelberg on Dec 5t! We are going to discuss an intricate web of reasons that make us study the visual cortices of mice, the spatial cognition of bats, or the molecular basis of Alzheimer?s disease in humans, from long-time fascinations, through previous, often random choices, inspirations by other people, or economic/social circumstances. The aim of this short workshop will be to discuss in depth our reasons for doing neuroscience. In a series of short talks, discussions, and group tasks ? in the spirit of our Schools and Workshops of Ideas ? we will try to ask (and maybe answer) questions: - What motivates our research? - How do our stated purposes for our research ? the ones that we speak about in public, in grant writing or science communication ? relate to our real motivations? - How do our reasons to do brain research influence our methodological choices? - How do the reasons we have differ depending on our background? Why does it matter? Please find more info and the application form here - https://openlabhd.org/why/. With best wishes, Mateusz Kostecki -------------- next part -------------- An HTML attachment was scrubbed... URL: From vladana.perlic at telecom-paris.fr Fri Nov 7 03:16:49 2025 From: vladana.perlic at telecom-paris.fr (Vladana =?utf-8?Q?Perli=C4=87?=) Date: Fri, 7 Nov 2025 09:16:49 +0100 (CET) Subject: Connectionists: =?utf-8?q?PRIMA_2025_=E2=80=93_PhD_Day=3A_Call_fo?= =?utf-8?q?r_Submissions_=E2=80=93_FINAL_CALL?= In-Reply-To: <692873249.24789295.1761032316815.JavaMail.zimbra@telecom-paris.fr> References: <981152395.14333017.1752652643740.JavaMail.zimbra@telecom-paris.fr> <692873249.24789295.1761032316815.JavaMail.zimbra@telecom-paris.fr> Message-ID: <523845076.32247639.1762503409427.JavaMail.zimbra@telecom-paris.fr> PRIMA 2025 ? PhD Day: Call for Submissions ? Extended Abstracts The PRIMA 2025 PhD Day is a forum for doctoral students working on multi-agent systems and closely related areas to present their ongoing research, receive constructive feedback, and grow their professional network. We welcome submissions from PhD candidates at any stage of their doctorate. Website: [ https://conferences-website.github.io/prima2025/ | https://conferences-website.github.io/prima2025/ ] Topics of Interest All PRIMA topics are in scope, including (but not limited to): multi-agent systems, game theory, logic in AI, verification/model checking, learning in MAS, human?agent interaction, agent-based simulation, autonomy, coordination, trust, security & privacy, and applications in science, industry, and society. Who Should Submit * PhD students (early, mid, or late stage). * Recent graduates (defended in 2025) may submit work completed during their PhD. Submission Format * Extended abstract (non-archival), up to 4 pages including references. * PDF, PRIMA/LNCS style (same as the main conference). * Clearly state: problem, motivation, approach, preliminary/expected results, and open challenges. * Optionally include one figure (architecture, workflow, or key result). * Submissions are single-author (the PhD student). You may acknowledge advisors/collaborators. * Submit via email to [ mailto:james.ortiz-vega at u-pec.fr | james.ortiz-vega at u-pec.fr ] and [ https://z.imt.fr/zimbra/Marija.Slavkovik at uib.no | Marija.Slavkovik at uib.no ] (please copy both). Presentation Accepted authors will give a short presentation during the PhD Day. Extended abstracts will be made available on the conference website as non-archival material. Travel Support (AIXIA) Thanks to AIXIA , we have a total of 500? to support PhD student participation. The number and amount of scholarships will be determined by the organizers depending on the number of requests. To be considered, please add a short Funding Request paragraph to your abstract (need, estimated budget, other support). Important Dates (AoE) * PhD Day CFP online: 20 October 2025 * Submission deadline: 15 November 2025 * Notification: 24 November 2025 * Program online: 27 November 2025 * PhD Day @ PRIMA 2025: 19 December 2025 Contact For questions, please contact the PhD Day chairs: [ mailto:prima2025.phdday.chairs at gmail.com | prima2025.phdday.chairs at gmail.com ] -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at manchester.ac.uk Fri Nov 7 05:23:22 2025 From: samuel.kaski at manchester.ac.uk (Samuel Kaski) Date: Fri, 7 Nov 2025 10:23:22 +0000 Subject: Connectionists: I am hiring: postdocs/research fellows in probabilistic machine learning, DL December 1, 2025 Message-ID: I am hiring to my group in ELLIS Institute Finland and Manchester Centre for AI Fundamentals Topics: Multimodal foundation models, out-of-distribution deployable machine learning, collaborative machine learning We do probabilistic machine learning, develop new principles and methods and apply them with collaborators in other domains, as AI4Research and AI4Science. The positions are funded by ERC, UKRI Turing AI World-Leading Researcher Fellowship, and https://www.elliot-ai.eu More about me and the group at https://kaski-lab.com Direct link to Manchester call: https://www.jobs.manchester.ac.uk/Job/JobDetail?isPreview=Yes&jobid=33690&advert=external Direct link to Helsinki call: https://www.aalto.fi/en/open-positions/postdoctoral-researcher-positions-in-probabilistic-machine-learning-research-group-aalto-university-1?check_logged_in=1 DL December 1, 2025 -- Samuel Kaski, Professor, Aalto University and University of Manchester Director, ELLIS Institute Finland and Manchester Centre for AI Fundamentals Turing AI Fellow, ELLIS Fellow https://kaski-lab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.C.Bowes at sussex.ac.uk Fri Nov 7 12:03:26 2025 From: S.C.Bowes at sussex.ac.uk (Simon Bowes) Date: Fri, 7 Nov 2025 17:03:26 +0000 Subject: Connectionists: CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex Message-ID: CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex (DEADLINE: November 30, 2025) Contact: Simon Bowes (S.C.Bowes at sussex.ac.uk) AISB 2026 will be held at the University of Sussex on the 1st-2nd July. For more information on the convention please see the website at https://aisb.org.uk/. Keynote Speaker: Anil Seth The AISB 2026 convention will follow the same overall structure as previous conventions, namely a set of co-located symposia, and we are seeking proposals for these symposia. Typical symposia last for one or two days, and can include any type of event of academic benefit: talks, posters, panels, discussions, demonstrations, outreach sessions, etc. Proposals for Symposia are welcomed in all areas of AI and cognitive science. Some suggested areas are shown below, although any proposal in the field of AI or cognitive science will be welcomed: * AI in Education * Agency & AI * Art & AI * Artificial Life * Cognitive & Computational Neuroscience * Computational theory of mind * Computational Intelligence * Consciousness * Embodiment and AI * Ethics of AI * Human and Machine Creativity * Hybrid Human-AI * Knowledge Representation * Machine Learning * Robotics * Bio-inspired approaches. * Simulation of Human and Animal Behaviour * The Turing Test and Philosophical Foundations of AI -------------------------------------------------------------------------------- Proposing a Symposium Each symposium is organized by its own programme committee. The committee proposes the symposium, defines the area(s) and structure for it, issues calls for abstracts/papers etc., manages the process of selecting submitted papers for inclusion, and compiles an electronic file for inclusion in the convention proceedings. Proposers are welcome to submit or be involved with more than one proposal. Proposers need not already be members the AISB and will not be required to become members. They will of course be encouraged to join! Deadline for symposium proposals: 30th November 2025 Notification of acceptance: 15th December 2025 -------------------------------------------------------------------------------- Submissions should consist of the following - A title. - A 300?1000-word description of the scope of the symposium, and its relevance to the convention along with the nature of the academic events (talks, posters, panels, demonstrations, etc.). - Whether the symposium is intended as a sequel to a symposium at a previous AISB conference. - An indication of whether submissions will be by abstract, extended abstract, or full paper. - Your preferences about the intended length of the symposium as a number of days (half a day, one day or two days), together with a brief justification. - A description (up to 500 words) of any experience you have in organization of academic research meetings (please note that it is not a requirement that you have such experience). - Names and affiliations of any invited speakers that you may have in mind for the symposium. - Your names and full contact details, together with, if possible, names and workplaces of the members of a preliminary, partial programme committee. - Please e-mail your completed proposal to Simon Bowes: S.C.Bowes at sussex.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From gros at itp.uni-frankfurt.de Fri Nov 7 14:57:03 2025 From: gros at itp.uni-frankfurt.de (Claudius Gros) Date: Fri, 07 Nov 2025 20:57:03 +0100 Subject: Connectionists: -physics of AI- focus session at the spring meeting of the german physical society In-Reply-To: References: Message-ID: <7f2a7-690e4f00-127-3fdbf040@179942908> Dear all, We would like to draw your attention to the focus session ?Physics of Artificial Intelligence? at the DPG 2026 meeting (8.3.-13.3.2026), Dresden, Germany. Deadline for submitting contributed talks: December 1, 2025 Application details are given at the end. The spring meeting of the German Physical Society (DPG) https://dresden26.dpg-tagungen.de/ is one of the largest meetings on physics in Europe, with ~10,000 participants. The focus session ?Physics of AI? aims to bring together experts in the field of physics-inspired theory for ML (Phys4ML). We seek submissions that use methods from physics to help our understanding of artificial intelligence systems and neural networks: to enable insights into mechanisms of learning and inference, into interpretability, or to predict expressivity and generalization. We are very much looking forward to seeing many of you in Dresden! Best wishes, Claudius Gros, Peter Sollich, Moritz Helias === Application process: Deadline 1.12.2025 === 1.) Go to https://www.dpg-tagung.de/dd26/submission.html 2.) In the field below the sentence ?The following parts are currently open to public contribution submission. Choose one of the parts.? choose the option ?SOE: Physics of Socio-economic Systems division? and click blow: ?Next step: submission form?. 3.) Fill out the form and under ?Topic:? choose ?Focus Session: Physics of Artificial Intelligence? ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems ### A Comprehensive Introduction ### Springer 2008/10/13/15/24 ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ### From david at irdta.eu Sun Nov 9 12:40:48 2025 From: david at irdta.eu (David Silva - IRDTA) Date: Sun, 9 Nov 2025 18:40:48 +0100 (CET) Subject: Connectionists: AIces 2026: early registration November 25 Message-ID: <76680109.13484.1762710048981@webmail.strato.com> ****************************************************** 1st INTERNATIONAL SCHOOL ON THE COGNITIVE, ETHICAL AND SOCIETAL DIMENSIONS OF ARTIFICIAL INTELLIGENCE AIces 2026 Porto ? Maia, Portugal March 30 ? April 3, 2026 https://aices.irdta.eu/2026/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice ? IRDTA Luxembourg/London ****************************************************** Early registration: November 25, 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, 1 round table, 1 symposium collecting short contributions from participants, and 3 open thematic debate sessions. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, AIces 2026 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: AIces 2026 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Cast?lo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. KEYNOTE SPEAKERS: David Danks (University of Virginia), Trustworthy AI in an Untrustworthy World Ming Lin (University of Maryland), Socially Responsible and Trustworthy AI PROFESSORS AND COURSES: 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 SYMPOSIUM: A half-day symposium will collect 10-minute voluntary presentations by participants on any of the 3 thematic areas of the event. A 1-page abstract containing the title, authors, and summary of the presentation must be sent to david at irdta.eu by February 28, 2026. OPEN DEBATES: A 3-hour open debate session will be organized for each of the 3 thematic areas of the school: cognition, ethics and society. Expressions of interest to lead the respective sessions will be accepted until December 30, 2025 at david at irdta.eu . A 2-page description must be sent including the topics to be debated as well as the structure, call for contributions and dynamics of the session. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://aices.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Samuel Anjos (Maia, social networks) Osheen Jain (London, communications) Jos? Paulo Marques dos Santos (Maia, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg) Jos? Lu?s Reis (Maia) Lu?s Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://aices.irdta.eu/2026/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://aices.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of academic activities. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Luxembourg/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From ahmed.imprs at gmail.com Fri Nov 7 10:38:46 2025 From: ahmed.imprs at gmail.com (Ahmed El Hady) Date: Fri, 7 Nov 2025 10:38:46 -0500 Subject: Connectionists: Software Engineer - Behavioral Analysis Platform Development - Max Planck Institute of Animal Behavior Message-ID: As part of a?startup spinoff project funded by Max Planck Innovation's MAX!mize program. We're developing next-generation software for automated analysis of animal social behavior . Our platform makes behavioral analysis tools accessible for research and industry applications. We have the following opening: * * *? ? ? ? ? ? ? ? Software Engineer (m/f/d) (80 - 100 %) - Behavioral Analysis Platform Development* /Our Offer/ We offer an interesting job in an open-minded team, flat hierarchies and an open-door culture where we encourage building on strengths, a wide range of further training and education opportunities, 30 days of vacation for a five-day week, flexible working hours, a responsible and varied workplace in a growing interdisciplinary and international research institute. The payment is made in accordance with your experience and qualification and the collective agreement for the public service (TV?D-Bund). /Your tasks/ * Design and develop interface for video analysis and data visualization * Build APIs connecting Python backend with frontend applications * Integrate existing behavioral analysis research tools * Create annotation tools and real-time visualization dashboards * Transform Python-based behavioral analysis algorithms into accessible web applications * Ensure complex scientific tools are intuitive for non-programmer users /Your Profile/ * Bachelor's/Master's in Computer Science, Engineering or equivalent experience * Strong web development and applications skills (HTML/CSS/JavaScript + any modern framework * Proficient in Python programming * Experience making complex tools user-friendly * Self-directed problem solver with ability to work independently * Very good written and spoken English skills * Team-oriented with strong communication and collaboration abilities Other valuable experience: Scientific/data-heavy applications, real-time visualization, video processing/computer vision, Docker/containerization, research/startup experience The Max Planck Society endeavors to employ more severely disabled people. Applications of severely disabled persons are expressly welcome. The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds. /Are you interested? /Then we are looking forward to receiving your application until November 30, 2025, with your CV, a brief cover letter including link to GitHub or project portfolio under the following link : https://bewerbermanagement.net/en/jobposting/82ea614de840b641fc5b2e466fad8acb58f503450/apply Questions about this position will be answered by Jacob Davidson (jdavidson at ab.mpg.de) or Ahmed El Hady (ahady at ab.mpg.de). Please make sure to spread it to anyone you think might be interested to apply or is well suited for the position. All the best regards, Ahmed El Hady Dr. Ahmed El Hady Research group leader 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Sun Nov 9 05:03:44 2025 From: announce at ucy.ac.cy (Announce) Date: Sun, 9 Nov 2025 10:03:44 +0000 Subject: Connectionists: The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026): Last Call for the AAAI Track Message-ID: <68PMJ6D6-54UQ-J45X-A1UQ-M2XNMC1QF546@ucy.ac.cy> *** Last Call for the AAAI Track *** 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. AAMAS 2026 invites submissions to its AAAI track. We are looking for AAAI-26 submissions rejected from the main AAAI track that are relevant to the AAMAS research community and received no reject review recommendations (all review scores are weak reject or above). Authors are expected to update their manuscripts to address the comments of the AAAI reviewers and reformat them using the AAMAS style. All submitted material will be checked for correctness with AAAI and reviewed by members of the AAMAS program committee. We expect to accept only a fraction of the submitted manuscripts and will provide only short meta-reviews to explain the accept/reject decisions. The AAMAS submission must be based on a rejected AAAI-26 submission ? that was submitted to the main AAAI track; and ? that did not receive any reject review (all review scores are 5 or above); and ? that is relevant to the AAMAS research community. The submission guidelines for the AAMAS 2026 Main Technical Track, available here: https://cyprusconferences.org/aamas2026/submission-instructions/ , apply to the AAAI track with the exceptions given below: Authors must submit in one PDF document: ? their original AAAI submission; ? all AAAI review scores and reviews (including the meta-review); ? the AAMAS submission (that is, the updated AAAI submission), in the format required for the AAMAS 2026 Main Technical Track and with the same restrictions; ? in addition, all changes made should be highlighted in color (for example, red text or text highlighted in yellow); ? at most a two-page long document that describes how the AAMAS submission addresses the comments of the AAAI reviewers; and ? a short statement of why the submission is relevant for the AAMAS research community, together with one of the areas of interest listed on the Call for Papers (Main Technical Track, see the conference website) that describes the AAMAS submission. The publication of the 2-page extended abstracts is not an option for this track. For questions, please contact the AAAI Track Chair Bo An, Nanyang Technological University, at boan AT ntu.edu.sg. Submission Link: https://easychair.org/my2/conference?conf=aamas2026aaaitrack Important Dates (AoE) ? Submission Deadline: November 17, 2025 ? Decision Notification: February 15, 2026 ? Camera-ready Submission: February 21, 2026 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 announce at ucy.ac.cy Fri Nov 7 10:53:10 2025 From: announce at ucy.ac.cy (Announce) Date: Fri, 7 Nov 2025 15:53:10 +0000 Subject: Connectionists: The 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026): Third Combo Call for Workshop Papers Message-ID: *** Third 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 Nov 9 20:49:07 2025 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 9 Nov 2025 17:49:07 -0800 Subject: Connectionists: World wide VVTNS series (6th season): Wednesday, 12, 2025, at 11:00 am ET - Katharina Anna Wilmes, Institute of Neuroinformatics Zurich 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 Katharina Anna Wilmes Institute of Neuroinformatics Zurich on the topic of Uncertainty-aware predictive processing The lecture will be held on zoom on November 12, 2025, at *11:00 am ET * To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Minimising cortical prediction errors is thought to be a key computation underlying perception, action, and learning. Yet, how the cortex represents and uses uncertainty in this process remains unclear. In the first part of this talk, I will present a normative framework showing how uncertainty can modulate prediction error activity to yield uncertainty-modulated prediction errors (UPEs), hypothesised to be represented by layer 2/3 pyramidal neurons. We propose that these UPEs are computed through inhibitory mechanisms involving SST and PV interneurons. A circuit model demonstrates how cortical cell types can locally compute means, variances, and UPEs, leading to adaptive learning rates. In the second part, I will discuss how uncertainty modulation could be controlled by higher-level representations. We formally derived neural dynamics that minimise prediction errors under the assumption that cortical areas must not only predict the activity in other areas and sensory streams but also jointly project their inverse expected uncertainty about their predictions, which we call ?confidence?. This yields a confidence-weighted integration of bottom-up and top-down signals, consistent with Bayesian principles, and predicts the existence of second-order errors that compare confidence with performance. We predict that these second-order errors propagate alongside classical prediction errors through the cortical hierarchy, and simulations demonstrate that this mechanism enables nonlinear classification within a single cortical area. *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 daniela.fogli at unibs.it Mon Nov 10 08:52:36 2025 From: daniela.fogli at unibs.it (Daniela FOGLI) Date: Mon, 10 Nov 2025 14:52:36 +0100 Subject: Connectionists: [CFP] Advanced Visual Interfaces / AVI 2026 / 2nd Call for Workshop Proposals Message-ID: 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 between June 8 and 12, 2026, at the AVI2026 venue. Workshop proposals must be submitted using the following form: https://forms.gle/v7gEKFchxAGzMJtj8 Workshop Chairs - Daniela Fogli, Universit? di Brescia, Italy (daniela.fogli at unibs.it) - Kyle Montague, Northumbria University, UK (kyle.montague at northumbria.ac.uk) --------------------------------------------------------------------------- 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 -- Informativa sulla Privacy:?https://www.unibs.it/it/node/1452 -------------- next part -------------- An HTML attachment was scrubbed... URL: From giovanni.stanco at unina.it Mon Nov 10 13:03:35 2025 From: giovanni.stanco at unina.it (GIOVANNI STANCO) Date: Mon, 10 Nov 2025 18:03:35 +0000 Subject: Connectionists: =?windows-1252?q?CfP_=96_Elsevier_COMCOM_=96_Spec?= =?windows-1252?q?ial_Issue_on_Intelligence_and_Service_Orchestration_in_N?= =?windows-1252?q?ext-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 axel.hutt at inria.fr Tue Nov 11 03:41:19 2025 From: axel.hutt at inria.fr (Axel Hutt) Date: Tue, 11 Nov 2025 09:41:19 +0100 (CET) Subject: Connectionists: Permanent position in computational neuromodulation Message-ID: <253167770.496650847.1762850479262.JavaMail.zimbra@inria.fr> ------------------------------------------------------------------------------------ Permanent position in computational neuromodulation of brain networks and application to mental disorders ------------------------------------------------------------------------------------ The new research team NECTARINE at Inria in Strasbourg / France aims to create a synergy between clinicians and computational researchers to develop new healthcare technologies. The team works on stochastic microscopic network models to describe macroscopic experimental data and computational techniques of neural feedback control based on subject behavior and/or encephalographic data. We collaborate closely with clinicians and choose our research focus along the clinical applications. Major scientific objectives are stochastic multi-scale simulations of neurostimulation and corresponding mean-field descriptions of neural activity on the macroscopic scale. Moreover, we develop novel closed-loop techniques with real-time control merging experimental data and numerical models by machine learning techniques. The team's clinical research focuses on neuromodulation of patients suffering from deficits in attention and temporal prediction. The team offers the possibility to apply for a permanent position as Charg? de Recherche (CR) or Directeur de Recherche (DR) in the research field of computational neuroscience with a strong focus on stochastic dynamics linking brain network modelling with experimental data. The new colleague should have a strong expertise in mathematical/computational modelling with a focus on nonlinear dynamics and/or network dynamics, as well as strong interest in clinical applications. Strong programming skills are mandatory. Inria is a French National Institute for Research in Digital Science and Technology ( [ https://www.inria.fr/en | https://www.inria.fr/en ] ) with 9 research centres in France. The team is located in the centre of Strasbourg on the hospital campus as part of the Research Centre at University of Lorraine in Nancy. Applications are welcome from now on until end of January 2026 , but it is strongly recommended to contact us well in advance. For more details or sending your application documents (motivation letter, CV including publication list), please contact Dr. Axel Hutt (email: axel.hutt at inria.fr ) . -- Axel Hutt Directeur de Recherche Equipe NECTARINE INRIA Center at University of Lorraine B?timent Explora 2, rue Marie Hemm 67000 Strasbourg, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From Marwa.Mahmoud at glasgow.ac.uk Mon Nov 10 11:06:05 2025 From: Marwa.Mahmoud at glasgow.ac.uk (Marwa Mahmoud) Date: Mon, 10 Nov 2025 16:06:05 +0000 Subject: Connectionists: FG2026 - Call for Workshop/Special Session/Panel Proposals Message-ID: Call for Workshop/Special Session/Panel Proposals at: The 20th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2026) May 25th ? 29th, 2026, Kyoto, Japan. https://fg2026.ieee-biometrics.org/ -------------------------------------------------------------------------------------------------------- Call for Workshop Proposals -------------------------------------------------------------------------------------------------------- We invite workshop proposals for the 2026 IEEE Conference on Automatic Face and Gesture Recognition (FG 2026) in Kyoto, Japan. Accepted workshops will be held on either May 25 or May 29, 2026, in the same venue as the FG 2026 main conference. Complementary to the main venue, we especially encourage workshop proposals relating to emerging new fields or new application domains of face and gesture analysis and synthesis. [Submission Procedure] Workshop proposals should include the following information: - Workshop title - Workshop motivation, expected outcomes, and impact - List of organizers including affiliation, email address, and a short bio - Tentative length of the workshop (half-day or full-day) - Style of the workshop and related activities, e.g., poster/oral paper presentations, invited talks, round tables, competition, hackathon, etc - Tentative paper submission and review schedule (Ideally, the camera-ready deadline will coincide with the main conference deadline on April 2) - Planned advertisement, website hosting, potential sponsorships - Paper submission procedure (submission website) if applicable - Paper review procedure (single/double-blind, internal/external, solicited/invited-only, the pool of reviewers, etc.) - Tentative program committee, and invited speakers, if any - Estimated number of submissions and acceptance rate Proposals should be submitted through CMT: https://cmt3.research.microsoft.com/FG2026 [Important Dates] Workshop proposals due: November 13, 2025 Notification of acceptance: November 27, 2025 [Contact] For additional information and queries regarding the workshop proposal procedure, please contact the Workshop Co-chairs: Shiro Kumano (shiro.kumano at ntt.com) Koichiro Niinuma (kniinuma at fujitsu.com). -------------------------------------------------------------------------------------------------------- Call for Special Session and Panel Proposals -------------------------------------------------------------------------------------------------------- [What is a special session in FG 2026] A special session focuses on a specific topic within the broader domain of face and gesture recognition. Unlike a workshop, a special session is fully integrated into the main conference program. Papers submitted to a special session will be included in the conference proceedings and undergo the same rigorous peer-review process as regular submissions. All papers must present original research and adhere to the general FG submission guidelines. Upon acceptance of a special session proposal, a dedicated Subject Area will be created in the paper submission system (CMT). The special session organizers will serve as Area Chairs and oversee the review process for submissions within their topic. If enough papers from the special session are accepted, an oral session will be scheduled during FG 2026, and the organizers will be invited to chair that session. Proposals may address any topic within the broader area of face and gesture recognition, modeling, and analysis. We particularly encourage submissions that explore emerging research directions, novel application domains, and new challenges related to face and gesture. Interdisciplinary topics that bring new perspectives to the FG community are also highly welcome. Proposers should demonstrate a strong track record in the proposed field. [What is a panel in FG 2026] A panel is a focused discussion session that brings together experts to debate and explore timely, controversial, or emerging topics in the field of face and gesture recognition. Unlike a special session, a panel does not involve paper submissions or formal proceedings. Instead, it provides a dynamic forum for interactive dialogue, diverse viewpoints, and thought-provoking exchanges between panelists and the audience. Panel sessions aim to stimulate new ideas, address key challenges, and foster active community engagement. [Proposal Submission Guidelines] Proposals should be submitted to the Special Session and Panel Chairs with the subject field ?FG 2026 Proposal: [title of session]?. A proposal must include the following information: - The title of the proposed Special Session or Panel. - A brief description of the topic, including how it stands apart from the regular FG topics/sessions. - Contact information and short bio of the organizers. - For a Special Session: a list of proposed contributions to the special session (including authors, title, and short abstract). - For a Panel: a list of proposed panelists and their expected perspectives/contributions. [Important Dates] Special Sessions: - Proposals due: November 15, 2025 - Proposal notification: November 30, 2025 Panels: - Proposals due: March 10, 2026 - Proposal notification: March 20, 2026 All proposals should be sent to the FG 2026 Special Session & Panel Chairs: Shiqi Yu > and Matteo Ferrara > -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Tue Nov 11 08:54:51 2025 From: efipatm at gmail.com (Efi P) Date: Tue, 11 Nov 2025 15:54:51 +0200 Subject: Connectionists: =?utf-8?q?Join_the_AIDA_online_short_course_=22Nv?= =?utf-8?q?idia_DLI_=E2=80=93_Applications_of_AI_for_Predictive_Mai?= =?utf-8?q?ntenance=22_by_Dr=2E_Laszlo_Kovacs_=28University_of_Debr?= =?utf-8?q?ecen=29=2C_15/11/2025=2E?= Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the International AI Doctoral Academy (AIDA ), is excited to invite you to register and attend the upcoming online AIDA short course "Nvidia DLI ? Applications of AI for Predictive Maintenance ". *Lecturer:* Dr. Laszlo Kovacs, University of Debrecen *Date:* 15 November 2025, 09:00 ? 17:00 CET (online) *About the Course* Unplanned equipment downtime is costly and disruptive ? but AI-powered predictive maintenance is transforming how industries manage reliability and performance. In this hands-on workshop, you will learn how to use machine learning and deep learning techniques to analyze sensor data, detect early signs of failure, and predict the remaining useful life (RUL) of industrial assets. You?ll explore methods such as LSTM networks, autoencoders, and XGBoost, and discover how AI can move your operations from reactive to proactive maintenance. Through real-world case studies and guided exercises, participants will build models capable of anomaly detection, predictive forecasting, and data-driven maintenance optimization. *Short CV of lecturer*: Dr Laszlo Kovacs received his Ph.D. degree in computer science. He is specialized in science and engineering in machine and deep learning, distributed computing, HPC environments, Nvidia GPU acceleration, and server virtualization. I am a Platinum Tier Level (top-rated) certified instructor and university ambassador at Nvidia Deep Learning Institute. He has experience in the research and development of autonomous vehicles in real and model-sized, including machine learning engineering, simulations, and digital twins. He is a Specialist Data Scientist and Q-IT. He is working on AI/ML-based product development, and real-time product-related data analysis solutions to support production and quality steering, including innovation in digitalizing quality IT. He has worked in the USA and currently working mostly in Germany and Austria. *Details* - Free of charge for university students and staff. An understanding of fundamental programming concepts in Python such as functions, loops, dictionaries, and arrays is a prerequisite. - Upon successful completion of the assessment, the participants will receive an *Nvidia Certificate of Competency*. - Registration: https://forms.office.com/e/sR2UdYsYKN - More information about the course: https://www.i-aida.org/course/nvidia-dli-applications-of-ai-for-predictive-maintenance-2/ *For AIDA students*: For AIDA students *only* (AIDA students are PhD students/candidates or postdoc researchers belonging to any AIDA member): On the top of the above registration, we strongly encourage you to also enroll in this course through the AIDA website , so that a successful attendance of this course appears in the AIDA Certificate of Course Attendance. We look forward to your participation! Best regards AIDA Secretariat -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Nov 11 18:10:59 2025 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 11 Nov 2025 15:10:59 -0800 Subject: Connectionists: REMINDER: World wide VVTNS series (6th season): Wednesday, 12, 2025, at 11:00 am ET - Katharina Anna Wilmes, Institute of Neuroinformatics Zurich 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 Katharina Anna Wilmes Institute of Neuroinformatics Zurich on the topic of Uncertainty-aware predictive processing The lecture will be held on zoom on November 12, 2025, at *11:00 am ET * To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Minimising cortical prediction errors is thought to be a key computation underlying perception, action, and learning. Yet, how the cortex represents and uses uncertainty in this process remains unclear. In the first part of this talk, I will present a normative framework showing how uncertainty can modulate prediction error activity to yield uncertainty-modulated prediction errors (UPEs), hypothesised to be represented by layer 2/3 pyramidal neurons. We propose that these UPEs are computed through inhibitory mechanisms involving SST and PV interneurons. A circuit model demonstrates how cortical cell types can locally compute means, variances, and UPEs, leading to adaptive learning rates. In the second part, I will discuss how uncertainty modulation could be controlled by higher-level representations. We formally derived neural dynamics that minimise prediction errors under the assumption that cortical areas must not only predict the activity in other areas and sensory streams but also jointly project their inverse expected uncertainty about their predictions, which we call ?confidence?. This yields a confidence-weighted integration of bottom-up and top-down signals, consistent with Bayesian principles, and predicts the existence of second-order errors that compare confidence with performance. We predict that these second-order errors propagate alongside classical prediction errors through the cortical hierarchy, and simulations demonstrate that this mechanism enables nonlinear classification within a single cortical area. *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 roderich.gross at tu-darmstadt.de Tue Nov 11 11:38:58 2025 From: roderich.gross at tu-darmstadt.de (=?utf-8?B?R3Jvw58sIFJvZGVyaWNo?=) Date: Tue, 11 Nov 2025 16:38:58 +0000 Subject: Connectionists: Extended deadline: ANTS 2026 - 15th International Conference on Swarm Intelligence Message-ID: <3D3C78F7-6F25-4D6B-BA88-CA1DAC9192F6@tu-darmstadt.de> Call for Papers ANTS 2026 ? 15th International Conference on Swarm Intelligence June 8?10, 2026 darmstadtium ? Science and Congress Center, Darmstadt, Germany https://ants2026.org ? Submission deadline extended to 20 November 2025! No further extensions will be granted. Important Dates ? Submission extended deadline: 20 November 2025 ? Notification of acceptance: 30 January 2026 ? Camera-ready deadline: 13 February 2026 ? Conference: 8?10 June 2026 Conference Scope Since its inception in 1998, ANTS has been a highly selective, single-track meeting that provided a forum for discussing advances in the field of swarm intelligence. It solicits submissions presenting significant, original research from researchers and practitioners of any area related to swarm intelligence. Swarm intelligence is an interdisciplinary and rapidly evolving field, rooted in the study of self-organizing processes in both natural and artificial systems. Researchers from disciplines ranging from ethology to statistical physics have developed models that explain collective phenomena, such as decision-making in social insect colonies and collective movements in human crowds. Swarm-inspired algorithms and methods have proven effective in solving complex optimization problems and creating multi-robot and networked systems of unparalleled resilience, adaptability and scalability. Applications of swarm intelligence continue to grow and become increasingly critical for addressing societal challenges such as environmental sustainability, food security, health, and global conflicts. The 2026 theme is: "Reaching beyond ? swarm intelligence across systems, disciplines, and communities." The conference seeks to encourage new perspectives, help bridge traditional boundaries and enable open debate on what could be ambitious, exploratory, and groundbreaking endeavors to embark on. Video Submissions Authors may optionally submit an accompanying video with their paper. ? Up to four Best Video Awards (EUR 250 each) sponsored by Springer Nature will recognize outstanding submissions. Topics of Interest Papers are solicited in all areas of swarm intelligence, including, but not limited to: * Theoretical foundations of swarm intelligence and collective phenomena * Modeling and analysis of self-organizing systems in nature, including many-particle systems, cellular systems, insect colonies, bird flocks, and human crowds * Decision making in large groups e.g. consensus dynamics, mean-field games, social choice theory * Swarm robotics, including colloidal systems, micro-robots, drones, and other autonomous vehicles * Swarm optimization algorithms, including ACO, PSO, ABC * LLMs and GenAI-in-the-loop systems in combination with swarm intelligence * Large-scale distributed networks, such as smart dust, smart cities, or social networks * Robotic materials and modular robots capable of self-repair, self-assembly or shape-shifting * Distributed learning, coordination, and control in many-agent systems * Human-centered swarm intelligence and human-swarm interaction * Sustainable technologies for artificial and bio-hybrid swarms * Creative and expressive uses of swarm principles in art, design and education * Benchmarking and reproducibility in swarm intelligence research * Ethical and societal implications of applications of swarm intelligence research * Applications of swarm intelligence to real-world challenges Invited plenary talks * Guido de Croon, Delft University of Technology, The Netherlands * Sharon Glotzer, University of Michigan, USA Invited perspective talks * Amanda Prorok, University of Cambridge, UK * Thomas Watteyne, Analog Devices, USA * Liam Young, SCI Arc, USA Submissions Papers should be 7?11 pages (excluding references) using the Springer LNCS LaTeX template. The proceedings will be published in the LNCS series. Selected works will be invited for an extended version in a special issue of Swarm Intelligence. ? Submit your paper now via the portal at https://ants2026.org Continuing with a tradition started at ANTS 2002 , the "Best Paper Award" at ANTS 2026 consists of a custom made sculpture of an ant specially made for the ANTS conference series by the Italian sculptor Matteo Pugliese. Venue ANTS 2026 will be held for the first time in Darmstadt, Germany, at the darmstadtium ? Science and Congress Center, hosted by Technical University of Darmstadt. The venue is within walking distance of the UNESCO World Heritage Mathildenh?he, offering a unique blend of cutting-edge research and cultural heritage. ? More information: https://ants2026.org Follow us on Bluesky and LinkedIn -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.toutounji at sheffield.ac.uk Wed Nov 12 08:59:06 2025 From: h.toutounji at sheffield.ac.uk (Hazem Toutounji) Date: Wed, 12 Nov 2025 13:59:06 +0000 Subject: Connectionists: Fully-funded PhD in computational neuroscience, Sheffield, UK Message-ID: Dear all, A fully-funded PhD position in computational neuroscience is available with Dr Hazem Toutounji (University of Sheffield, UK). *Project title: *Flexible or Flawed? A Computational Neuroscience Approach to Learning Strategies and Psychiatric Traits In our complex and ever-changing world, humans are constantly faced with a flood of sensory information. To make effective and timely decisions, the brain cannot possibly process every single detail. Instead, it is thought to rely on intelligent "cognitive shortcuts" or simple strategies (heuristics) to simplify complex problems. This allows for rapid and flexible learning, but the mechanisms behind this process are not well understood. When are these shortcuts deployed? How does the brain select the right strategy for the task at hand? How does it know when a shortcut is no longer working and a new strategy is needed? And how are the selection and efficiency of those shortcuts influenced by common psychiatric traits such as anxiety and impulsivity? This 3.5-year fully-funded PhD studentship provides an exciting opportunity to work at the intersection of computational modelling, cognitive neuroscience, and computational psychiatry. The successful candidate will receive comprehensive training in all required methods. *Position available for UK students only* *Application deadline: *February 4th 2026 *PhD start date: *October 1st 2026 Further information on the project, requirements, and how to apply can be found here: http://www.findaphd.com/?pj=190228 *Please note: *Interested candidates are strongly encouraged to contact me ( h.toutounji at sheffield.ac.uk) to discuss your interest in and suitability for the project prior to submitting your application. Best wishes, Hazem -- *Dr. rer. nat. Hazem Toutounji (they / them) *[pronounced ?AH-zem TUTUN-ji ] *PI of the Neural Dynamics and Computation Lab* Lecturer in Computational Neuroscience MSc Exams Officer, ECR Champion, Sustainability Lead School of Psychology The Neuroscience Institute Insigneo Institute for in silico Medicine University of Sheffield ICOSS Building, 4th floor, desk 5 219 Portobello, Broomhall Sheffield S1 4DP, UK *Please don't feel obliged to respond to my emails outside your own working hours* If you are a student looking for support, please see this page . *Office hours during semester weeks:* Monday 14:00-15:00 -- Please book an appointment with a brief description of the topic using this link . Face to face meetings are at *ICOSS E04a*. To meet outside of office hours, please email me 24 working hours in advance. -------------- next part -------------- An HTML attachment was scrubbed... URL: From matteo.zavatteri at unipd.it Wed Nov 12 10:54:41 2025 From: matteo.zavatteri at unipd.it (Matteo Zavatteri) Date: Wed, 12 Nov 2025 16:54:41 +0100 Subject: Connectionists: [ICANN 2026] 1st CALL FOR PAPERS, SPECIAL SESSIONS, WORKHOPS AND TUTORIALS Message-ID: ====================================================================== ICANN 2026 - 1st CALL FOR PAPERS, SPECIAL SESSIONS, WORKHOPS AND TUTORIALS ====================================================================== On behalf of the ICANN 2026 Organizing Committee, it is our great pleasure to invite you to the 35th International Conference on Artificial Neural Networks ICANN 2026, one of the premier conferences in the field of artificial intelligence, neural networks, neuroscience and brain-inspired computing in Europe, organized in collaboration with the European Neural Network Society (ENNS). ICANN 2026 will be held in Padua, Italy, one of the most charming and dynamic towns in Italy. It is located in the Veneto region, in Northern Italy. The historical center boasts a wealth of medieval, renaissance and modern architecture. Here a fascinating mix of historic and new, of centuries-old traditions and metropolitan rhythms creates a unique atmosphere. The medieval palaces, churches and cobbled streets emanate a sense of history. Padua features rich historical and cultural attractions, such as ?Prato della Valle?, the largest square in Europe; the famous Scrovegni Chapel painted by Giotto; the Botanical Garden that is a UNESCO World Heritage; the University of Padua, that is the second oldest university in Italy (1222) with more than 800 years of history. Conference Dates: September 14 to September 17, 2026 Conference Venue: Conference center of the School of Psychology, University of Padua, Italy Conference Webpage: https://e-nns.org/icann2026/ General Chairs: Alessio Micheli (University of Pisa, Italy) Nicol? Navarin (University of Padua, Italy) Alessandro Villa (University of Lausanne, Switzerland) ICANN 2026 aims to be a transformative event with the dual track of Artificial Intelligence & Deep Learning and Neuroscience, encouraging cross-disciplinary collaboration among researchers, practitioners, and industry experts. The event will feature cutting-edge research presentations and keynote talks by leading experts, continuing its tradition as a global dynamic and interactive forum bridging academia and industry. ====================================================================== Prospective authors are invited to submit original contributions of up to 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. The technical program, including special sessions, workshops and keynote talks covers almost all facets of Artificial Intelligence, Deep Learning and Neuroscience. Topics of interest include, but are not limited to: AI and Machine Learning: Theory and Foundations of Neural Networks, Novel Neural Network Architectures, Topics in Neural Networks, Large Language Models, Explainable AI, Machine Learning for Graphs, Graph Neural Networks, Clustering, Reinforcement Learning, New Topics in Artificial Intelligence and Machine Learning, Neurorobotics Neuroscience: Theoretical/Computational Neuroscience Cognitive Neuroscience Brain-Inspired Computing Spike trains neural decoding Functional neuroimaging Neuromorphic Systems Digital Twins and Virtual Brain models Applications: AI in Drug Discovery Human-Computer Interaction Biosignal Processing Medicine and Physiology Speech and Language Processing Computer Vision Robotics Climate and Environment General Applications of Machine Learning CONFERENCE COMMITTEE General Chairs: Alessio Micheli (University of Pisa, Italy) Nicol? Navarin (University of Padua, Italy) Alessandro Villa (University of Lausanne, Switzerland) Program Chairs: Luca Pasa (University of Padua, Italy) Alessandra Lintas (University of Lausanne, Switzerland) Igor Tetko (Helmholtz Munich, Germany) Submission Chair Linas Petkevi?ius (Vilnius University, Lithuania) Publication Chair Domenico Tortorella (University of Pisa, Italy) Workshop and Special Session Chairs Luca Oneto (University of Genoa, Italy) Valerie Vaquet (Bielefeld University, Germany) Social Media Chairs Giovanna Maria Dimitri (University of Milan, Italy) Alessandro Dipalma (University of Pisa, Italy) Diversity and Inclusion Chair Roseli S. Wedemann (Universidade do Estado do Rio de Janeiro (UERJ), Brazil) Communication Chairs Davide Rigoni (University of Padua, Italy) Matteo Zavatteri (University of Padua, Italy) Local Arrangements Chairs Merylin Monaro (University of Padua, Italy) Andrea Zangrossi (University of Padua, Italy) Volunteers Coordinator Giovanni Donghi (University of Padua, Italy) IMPORTANT DATES - Deadline for full paper and abstract submission: 16 March 2026 - Final notification of Acceptance or Rejection: 29 may, 2026 - Camera-ready paper upload and author registration: 29 June 2026 For questions, please contact: icann2026 at e-nns.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From serafeim.perdikis at essex.ac.uk Wed Nov 12 10:58:13 2025 From: serafeim.perdikis at essex.ac.uk (Perdikis, Serafeim) Date: Wed, 12 Nov 2025 15:58:13 +0000 Subject: Connectionists: Essex BCI-NE webinar: AI-enabled Brain-Computer Interfaces for Awareness Assessment by Prof. Damien Coyle In-Reply-To: References: Message-ID: Dear all, A gentle reminder about tomorrow's BCI-NE seminar featuring Prof. Damien Coyle, University of Bath, UK. 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: Saturday, November 1, 2025 13:35 Subject: Essex BCI-NE webinar: AI-enabled Brain-Computer Interfaces for Awareness Assessment by Prof. Damien Coyle Dear all, Please, take note of the next BCI-NE seminar featuring Professor Damien Coyle. [cid:4282fef0-1a15-407f-bf55-bf59a5ea1dc4] https://www.linkedin.com/company/essex-bcine-lab/ The Essex BCI-NE Lab invites you to join our next monthly webinar: AI-enabled Brain-Computer Interfaces for Awareness Assessment after Brain Injury and Assistive Technology, Rehabilitation and Entertainment Applications of Neurotechnology Delivered by Professor Damien Coyle Professor of Neurotechnology and Director, The Bath Institute for the Augmented Human, University of Bath Professor of Neurotechnology, Intelligent Systems Research Centre, Ulster University Founder and CEO, NeuroCONCISE Ltd The webinar will take place in Colchester campus and over Zoom on Thursday, 13th November 2025, at 4PM UK time RSVP: https://www.linkedin.com/feed/update/urn:li:activity:7390345923912073216 Abstract: Prolonged disorders of consciousness (PDoC) present a major challenge for assessment and communication. Motor imagery brain?computer interfaces (MI-BCIs) provide a promising means of detecting residual awareness by enabling modulation of sensorimotor oscillations through imagined movement. This presentation will share findings from a structured multi-phase MI-BCI study involving patients with unresponsive wakefulness syndrome (UWS), minimally conscious state (MCS), and locked-in syndrome (LIS). Across repeated training sessions, patients demonstrated the capacity to modulate sensorimotor rhythms and to respond to closed questions, with extended feedback and practice revealing clearer differentiation of cognitive abilities. These results highlight MI-BCI?s potential as a movement-independent, EEG-based approach to augment diagnostic assessment and deepen understanding of covert cognition. The talk will also present advances in continuous motion trajectory decoding (MTD) BCIs. The presentation will conclude by introducing AI-enabled wearable neurotechnology platforms developed by NeuroCONCISE Ltd that support large-scale data collection and user training, offering a scalable route from laboratory research to real-world impact. Speaker Biography: Damien Coyle is a Professor of Neurotechnology, a UKRI Turing AI Acceleration Fellow and Director of the Bath Institute for the Augmented Human, University of Bath. His research focuses on developing AI to address challenges associated with translating electrophysiological signals into control signals for brain-computer interface based neurotechnology and trialling neurotechnology on a large scale with patients and end-users including spinal injury, stroke, disorders of consciousness, and post-traumatic stress disorder. He is Founder and CEO of NeuroCONCISE Ltd (www.neuroconcise.co.uk), an award-winning, AI-enabled, wearable neurotechnology company. The Essex BCI-NE Lab webinars series takes place once per month over Zoom and the webinars 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 Simis (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 canfirtina at gmail.com Wed Nov 12 18:40:09 2025 From: canfirtina at gmail.com (Can Firtina) Date: Wed, 12 Nov 2025 18:40:09 -0500 Subject: Connectionists: Two Fully Funded PhD Positions in Computer Science at UMD Message-ID: Dear All, Please feel free to share the information below with candidates who may be interested: I will be recruiting 2 PhD students to join my new research group in the Department of Computer Science at the University of Maryland, College Park (UMD). We explore many exciting directions related to designing algorithms, AI, and hardware for bioinformatics, such as: + Multimodal systems for biological data (e.g., electrical signals, basecalled sequences, spatial/image data) + Hardware?algorithm?software co-design for portable, real-time omics analysis + Algorithms and AI to enable fundamentally new directions in bioinformatics If you are deeply interested in building algorithms and computing systems that make biological data analysis fast, accurate, and energy-efficient with high impact in medicine and health, please consider applying. To learn more about our research, please visit my website at https://www.cs.umd.edu/~firtina/. You can use the Google Forms link on my website to upload your application documents. UMD CS PhD application deadline: December 5, 2025. If you are interested in working with me, please mention my name in your application materials. Thanks, Can ========= Can Firtina cfirtina.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From shouyiw at uta.edu Wed Nov 12 21:39:06 2025 From: shouyiw at uta.edu (Wang, Shouyi) Date: Thu, 13 Nov 2025 02:39:06 +0000 Subject: Connectionists: PhD Openings in ML/AI at UT Arlington - Spring/Fall 2026 In-Reply-To: References: Message-ID: Ph.D. positions for Spring & Fall 2026 are available in the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS) at University of Texas at Arlington. We welcome applicants with strong quantitative background, solid programming skills, and experience in machine learning and deep learning. If you are currently in the US, you are also welcome to apply for Spring 2026. The PhD research directions will be focused on Deep Learning, Data Analytics, AI and Inteligent Systems. If interested, please send your CV and transcripts (and any materials that highlight your experiences, e.g., papers, certificates, thesis, awards, etc.) to Dr. Shouyi Wang at shouyiw at uta.edu. We will review promptly and provide quick feedback. Accepted PhD students will receive full financial support for the duration of the PhD (tuition, stipend, and benefits). Visiting Students/Scholars Positions are also available in Machine Learning, Deep Learning, AI and Intelligent Systems. Lab Information: The COSMOS Center is conducting world-leading research in Data Science, Machine Learning, Deep Learning, Complex System Modeling & Optimization in diverse fields include Health Informatics, Smart Energy, Smart Agriculture, and Autonomous and Collaborative AI-Driven Intelligent Systems (UAV, UGV, Robotics). Our PhD graduates are highly competitive in the US job market. Recent Ph.D. graduates got job placements at American Airlines, United Airlines, UPS, CSX, AT&T, IBM, Samsung AI, Bank of America, Comerica Bank, BNSF, General Motors, etc. Our Ph.D. graduates also have immense opportunities to pursue academic careers. Recent Ph.D. students obtained faculty positions at top schools, including University of Illinois Chicago, Washington State University, Stevens Institute of Technology, The State University of New York at Buffalo, etc. Research Directions & Topics: * Deep Learning and Decision Analytics for Healthcare and Biomedical Research: cancer imaging analytics (PET/CT/MRI), brain imaging analytics, precision medicine, personalized healthcare, etc. * Generative AI for Computational Life-Science & Drug Discovery: Protein/DNA/RNA/Molecular data analytics, Generative AI for precision gene editing, molecular design, drug discovery. * Multivariate Time Series and Sequential Data Modeling: deep learning for multivariate sequential data modeling and forecasting with applications in energy, healthcare, agriculture, and financial analytics. * Interpretable & Probabilistic Deep Learning: uncertainty quantification, probabilistic deep learning, interpretability, reliability, and robustness of deep learning systems. * AI-Driven Smart Systems for Agriculture: intelligent systems for invasive pest early detection, vaccine design for poultry health, food allergy analytics and management. * AI Engineering and Intelligent Agent Systems: Development of Large Language Models (LLMs), autonomous AI-agent systems for decision analytics and adaptive problem-solving. School Information: With more than 40,000 enrolled students, UTA is one of the largest public universities in the nation. According to 2025 U.S. News and World Report, UTA Engineering School is ranked #81 in the US. The Industrial, Manufacturing, & Systems Engineering (IMSE) Department is ranked #55 for Graduate Programs. With great resources and Texas State support, the IMSE department is one of the fastest growing programs in the US with more than 200 graduate students. UTA is one of the 146 Carnegie R-1 Doctoral Universities in the US with highest research activities. DFW/Arlington Area: Arlington sits in the heart of the Dallas/Fort Worth metro, the 4th-largest in the U.S. with extensive industry partnerships and opportunities. Texas hosts 55 Fortune 500 headquarters, the most of any state. The COSMOS center at UTA drives impactful, industry-connected research with strong external collaboration. -------------- next part -------------- An HTML attachment was scrubbed... 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Funded Ph.D. Positions at the International Max Planck Research School for Intelligent Systems Message-ID: <08b61c1a-0b9b-4a51-a801-f922715ebc5a@tuebingen.mpg.de> *Funded Ph.D. Positions* at the International Max Planck Research School for Intelligent Systems, in T?bingen and Stuttgart, Germany *Website: http://imprs.is.mpg.de* *Deadline: November 16, 2025* The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and T?bingen collaborate to offer an interdisciplinary doctoral program, the International Max Planck Research School for Intelligent Systems (IMPRS-IS). For further information, please visit https://imprs.is.mpg.de -------------- next part -------------- A non-text attachment was scrubbed... Name: OpenPGP_signature.asc Type: application/pgp-signature Size: 203 bytes Desc: OpenPGP digital signature URL: From michel.verleysen at uclouvain.be Thu Nov 13 05:58:52 2025 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Thu, 13 Nov 2025 10:58:52 +0000 Subject: Connectionists: ESANN 2026 - deadline extension Message-ID: ESANN 2026 - 34th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges (Belgium) and online, 22-23-24 April 2026 https://www.esann.org Extended submission deadline Due to numerous requests the submission deadline for the ESANN 2026 conference has been extended to 26 November 2025. Please note that no further extensions will be granted. We look forward to seeing you at ESANN 2026. The Organising Committee. ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen UCLouvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From bisante at di.uniroma1.it Thu Nov 13 09:46:50 2025 From: bisante at di.uniroma1.it (Alba Bisante) Date: Thu, 13 Nov 2025 15:46:50 +0100 Subject: Connectionists: AVI 2026: Advanced Visual Interfaces - 1st Call for Interactive Experiences, Demo and Poster Submissions Message-ID: 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 Interactive Experiences, Demo and Poster Paper Submission Deadline: March 9, 2026 --------------------------------------------------------------------------- POSTER PAPERS The AVI 2026 Poster Track is dedicated to showcasing work-in-progress that pushes the boundaries of Advanced Visual Interfaces and Human-Computer Interaction. We especially welcome posters that explore creativity through a critical lens, addressing its complex dimensions of agency, interfaces, and ethics. This track offers a valuable opportunity to obtain precious feedback from peers and experts in an engaging, informal setting. Submissions must describe original (though not yet fully completed) research. INTERACTIVE EXPERIENCES AND DEMO PAPERS The interactive experiences and demo track is intended to provide a forum to showcase interactive installations, innovative implementations, systems, and technologies demonstrating new ideas about creativity, in relation to AVI themes and topics, and reaching out to novel communities. Interactive Experiences are expected primarily from musicians, designers, and artists. Demo submissions should be more technical, typically originating from Computer Engineering or Computer Science fields. Please notice that: The committee reserves the right to reject proposals whose hardware and/or space requirements cannot be met by organizers (if you have any doubt please contact the Interactive Experiences and Demo Chairs before submitting). The organizers cannot provide any specific equipment (e.g., sound or lighting systems). There is no possibility for any remuneration by the conference organizers. --------------------------------------------------------------------------- SUBMISSION FORMAT All the papers mentioned above require online submission. Specific information concerning the submission (e.g., submission format) is available on the AVI website. --------------------------------------------------------------------------- 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 Albrecht Schmidt, Ludwig-Maximilians University Munich, Germany Program Chairs Rosella Gennari, Free University of Bozen-Bolzano, Italy Fabio Pittarello, Ca? Foscari University of Venice, Italy Long Papers Chairs Paloma Diaz, Carlos III University, Madrid, Spain Alessandra Melonio, Ca? Foscari University of Venice, Italy Short Papers Chairs Luigi De Russis, Politecnico di Torino, Italy Mar?a Men?ndez Blanco, Free University of Bozen-Bolzano, Italy Proceedings Chairs Niccol? Pretto, Free University of Bozen-Bolzano, Italy Nadine Wagener, OFFIS - Institute for Information Technology, Germany Workshops Chairs Daniela Fogli, Universit? di Brescia, Italy Kyle Montague, Northumbria University, UK Interactive Experiences and Demos Chairs Stefania De Vincentis, Ca? Foscari University of Venice, Italy Florian Michahelles, TU Wien, Austria Sebastiano Vascon, Ca? Foscari University of Venice, Italy Posters Chairs Alba Bisante, Sapienza University of Rome, Italy Tanja D?ring, TU Berlin, Germany Doctoral Consortium Chairs Rosa Lanzilotti, University of Bari, Italy Monica Divitini, Norwegian University of Science and Technology, Norway Industry Chairs Fabio Morreale, Sony, Spain Emanuele Pucci, Politecnico di Milano Accessibility and Inclusion Chairs Marco Mores, Free University of Bozen-Bolzano, Italy Teresa Scantamburlo, University of Trieste, Italy Web Chair Tommaso Pellegrini, Ca? Foscari, University of Venice, Italy Publicity & Social Networks Chairs Andrea Rezzani, Free University of Bozen-Bolzano, Italy Mehdi Rizvi, Heriot Watt University, UK Student Volunteers Chairs Daniel Bermudez, Free University of Bozen-Bolzano, Italy Bilal Khan, Free University of Bozen-Bolzano, Italy --------------------------------------------------------------------------- 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From patriciaruizvillalobos at hotmail.com Thu Nov 13 09:43:33 2025 From: patriciaruizvillalobos at hotmail.com (Patricia ruiz) Date: Thu, 13 Nov 2025 14:43:33 +0000 Subject: Connectionists: [CFP] Special Session: AI for a Sustainable Future: Transforming Engineering, Mobility, and Smart Cities. 28th-30th April 2026. Crete (Greece) In-Reply-To: <014BB17A-05AF-4668-A00A-F852B5ABB645@hotmail.com> References: <014BB17A-05AF-4668-A00A-F852B5ABB645@hotmail.com> Message-ID: <12EBF650-9927-4098-B9A8-63C9FB2A1B8C@hotmail.com> [Apologies if you receive multiple copies of this message] [cid:clip_image001.jpg] AI for a Sustainable Future: Transforming Engineering, Mobility, and Smart Cities 28th to 30th April, 2026 Chania, Crete, Greece https://ola2026.sciencesconf.org/resource/page/id/3 Dear colleagues, We would like to invite you to the Special Session entitled: AI for a Sustainable Future: Transforming Engineering, Mobility, and Smart Cities that will be held in conjunction with the International Conference on Optimization and Learning (OLA 2026) in Chania (Greece), from 28th to 30th April, 2026. The venue aims at bringing together interdisciplinary research from artificial intelligence and sustainability. Topics of interest include, but are not limited to: ? AI in sustainable transportation ? Intelligent traffic management and emissions reduction ? AI in sustainable urban planning and smart cities ? Sustainable AI: reducing AI?s carbon footprint ? Sustainable AI strategies: reducing carbon footprint ? Green AI: Energy efficient algorithms and architectures ? AI-driven sustainable engineering applications IMPORTANT DATES Submission deadline: 19th December 2025 Notification of acceptance: 23rd January 2026 Full paper submission deadline: 6th March 2026 Accepted full papers will appear in the conference proceeding published by Springer series Communications in Computer and Information Science (tentative). For more information, please visit https://ola2026.sciencesconf.org/ Looking forward to seeing you in Chania! Patricia Ruiz University of Cadiz (Spain) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: cidclip_image001.jpg Type: image/jpeg Size: 104837 bytes Desc: cidclip_image001.jpg URL: From davide.rigoni.1 at unipd.it Thu Nov 13 12:10:07 2025 From: davide.rigoni.1 at unipd.it (Davide Rigoni) Date: Thu, 13 Nov 2025 18:10:07 +0100 Subject: Connectionists: [CFP] Neuro Symbolic AI and Complex Data @ESANN2026 - Deadline Extension Message-ID: *************************************************************** CALL FOR PAPERS (ESANN 2026) European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: https://www.esann.org/ More details on the Special Session "Neuro Symbolic AI and Complex Data": https://www.esann.org/special-sessions#session1 Bruges, Belgium, 22-24 April 2026 *************************************************************** ****** Call For Papers ****** In the contemporary era of Artificial Intelligence (AI) based decision-making, the application of AI on complex data (e.g., nonlinear systems, images, text, sequences, trees, and graphs) has become increasingly pivotal - spanning domains such as drug discovery, industrial automation, and decision support systems. Yet, purely data-driven methods often fall short in domains where structured reasoning, interpretability, and the integration of human knowledge are essential. Neuro-symbolic AI emerges as a promising paradigm that combines the strengths of symbolic reasoning with sub-symbolic learning, bridging the gap between data-driven models and domain-specific knowledge, requirements, and constraints. This fusion allows for more generalizable, explainable, and trustworthy systems, capable of incorporating logical rules, expert knowledge, and domain constraints into complex data-driven tasks. In this context, Neuro-Symbolic AI holds the potential to enhance model sustainability, robustness, transparency, and alignment with human-centric goals. This additional knowledge can take many forms, for example: -> Constraint-Aware AI, which embeds hard or soft logical constraints or verification rules in learning algorithms; -> AI for science, where (possibly interpretable) models must comply with physical laws or symbolic expressions; -> Socially responsible AI, where ethical frameworks and cultural principles shape decisions; -> Applications (e.g., bioinformatics, software engineering, natural sciences, or legal informatics) where knowledge graphs and ontologies guide data-driven inference. This special session aims to gather valuable contributions and early findings in the field of Neuro-Symbolic AI for Complex Data. Our main objective is to showcase the potential and limitations of new ideas, improvements, and cross-disciplinary integrations of symbolic reasoning and machine learning for solving real-world problems. We welcome contributions across disciplines and encourage submissions that integrate symbolic reasoning, statistical learning, complex data, and domain-specific knowledge to advance the frontiers of AI research. ****** Important Dates ****** Paper Submissions: 26 November 2025 Paper Acceptance Notifications: 23 January 2026 Conference: 22-24 April 2026 ****** Session Organisers ****** -> Luca Oneto (University of Genoa, Italy) -> Nicol? Navarin (University of Padua, Italy) -> Luca Pasa (University of Padua, Italy) -> Davide Rigoni (University of Padua, Italy) *-> *Davide Anguita (DIBRIS - University of Genova, Italy) -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.tsetsos62 at googlemail.com Thu Nov 13 12:43:39 2025 From: k.tsetsos62 at googlemail.com (Konstantinos Tsetsos) Date: Thu, 13 Nov 2025 17:43:39 +0000 Subject: Connectionists: Postdoctoral Positions in Decision Neuroscience at Trinity College Dublin Message-ID: <56AD6B0C-FF7C-4451-B269-C4C9E99407D5@googlemail.com> The Institute of Neuroscience and the School of Psychology at Trinity College Dublin invite applications for multiple postdoctoral positions based in the Irrationality Lab, led by Prof. Konstantinos Tsetsos. These positions are part of the European Research Council (ERC) Consolidator Grant ?The Dynamics of Attribute Weighting in Multiattribute Choice? (DYNATT) awarded to Prof. Tsetsos. The project aims to uncover the neural and computational mechanisms underlying preference variability by asking how the human brain shapes, maintains, and revises preferences for different attributes during decision-making. To achieve the aims of the project, we will combine magnetoencephalography (OPM-MEG), computational modelling, and behavioural paradigms to decode and model multiattribute preferences at high temporal resolution. This approach will provide mechanistic insights on the drivers of preference variability, with potential applications in both clinical and applied behavioural science domains. The successful candidates will design and conduct experiments using MEG, analyse neural and behavioural data, and develop computational models of decision-making. Strong quantitative and programming skills and experience with E/MEG analysis are required. Appointments are available for at least three years, with flexible start dates up to November 2026. Positions will be remunerated according to the IUA salary scales for postdoctoral researchers, commensurate with experience and qualifications. Applications will be reviewed on a rolling basis until all positions are filled. Informal inquiries are welcome. Information about the lab: https://www.ktsetsoslab.net Further details and how to apply: https://www.ktsetsoslab.net/_files/ugd/01e170_d91c53b13734471d944d528316ea3c24.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From risto at cs.utexas.edu Thu Nov 13 18:45:07 2025 From: risto at cs.utexas.edu (Risto Miikkulainen) Date: Thu, 13 Nov 2025 15:45:07 -0800 Subject: Connectionists: A million agents is all you need Message-ID: The recent "Illusion of Thinking" paper (https://machinelearning.apple.com/research/illusion-of-thinking) by Shojaee et al. at Apple showed that LLM reasoning is limited on complex problems, especially those requiring long chains of reasoning. However, it turns out that such problems can be solved through large multiagent systems: for instance, a system composed of a million LLM microagents can solve the 20-disk Towers of Hanoi problem that requires a million reasoning steps. The details are described in https://arxiv.org/abs/2511.09030 and there?s also a blog (with very cool animations) at https://www.cognizant.com/us/en/ai-lab/blog/maker -------------- next part -------------- An HTML attachment was scrubbed... URL: From mathislamarre at gmail.com Fri Nov 14 04:57:46 2025 From: mathislamarre at gmail.com (Mathis Lamarre) Date: Fri, 14 Nov 2025 10:57:46 +0100 Subject: Connectionists: Job Opening: MRI Physicist @ TU Berlin Message-ID: We are looking for a highly motivated MRI Physicist for the operation, quality assurance, and optimization of a modern Siemens 3-Tesla MRI system in a scientific environment. Please find further details about the positions and how to apply here: https://www.jobs.tu-berlin.de/en/job-postings/198286. The ad is in German, but knowledge of German OR English is required. Employer: TU Berlin Salary grade: TV-L 13 Berliner Hochschulen Starting date: as soon as possible. The application deadline is November 28th. For informal inquiries please contact Prof. Dr. Fatma Deniz (deniz at tu-berlin.de) directly. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fdlafert at hotmail.com Fri Nov 14 05:26:58 2025 From: fdlafert at hotmail.com (Fabrizio Damicelli) Date: Fri, 14 Nov 2025 10:26:58 +0000 Subject: Connectionists: Free Python Course for Neuroscientits Message-ID: Dear Community, I'd like to share this short, hands-on Python Course oriented to early stage PhD students in Neurosciences: ? Core concepts explained in simple words ? Software engineering best-practices (uv, error handling, testing, etc.) ? References to deepen your knowledge (talks, books, cheatsheets, etc.) ? Exercises for each chapter to ramp up your skills with deliberate practice ? Integrative ?Labs? with real-world brain datasets (OpenNeuro) Check it out, it's free! https://fabridamicelli.com/python-course/ Best Regards, Fabrizio Damicelli -------------- next part -------------- An HTML attachment was scrubbed... URL: From habesm at gmail.com Fri Nov 14 13:38:35 2025 From: habesm at gmail.com (Mohamad Habes) Date: Fri, 14 Nov 2025 12:38:35 -0600 Subject: Connectionists: Exciting Postdoc/Research Assistant Opportunity in Deep Learning & Neuroimaging at the NAL Lab, University of Texas Health San Antonio Message-ID: Dear Community Members, I'm delighted to share exceptional Postdoctoral and Research Assistant research opportunities in the field of neuroimaging and deep learning at the NAL Lab, University of Texas Health San Antonio. *About the Position:* We're in search of dedicated and innovative researchers eager to shape the future of neuroimaging. Selected candidates will: 1) Engage in the development of cutting-edge deep learning methodology. 2) Collaborate with a multidisciplinary team of experts. 3) Contribute to the evolution of AI-driven diagnostic tools for both in-vivo and ex-vivo neuroimaging data. 4) Access expansive datasets, state-of-the-art computational tools, and premier imaging facilities. *Ideal Candidate Profile:* 1) Robust expertise in neuroimaging. 2) Proven experience in computational modeling and deep learning. 3) A passion for research and innovation. For a comprehensive understanding of the position and its requirements, please find the detailed job description attached. *How to Apply*: Interested candidates are encouraged to send their CV and cover letter directly to habes at uthscsa.edu Job descriptions are attached. This is a unique opportunity to delve deeply into the rapidly evolving domains of neuroimaging and deep learning. If you know of a colleague or peer who would thrive in this role, kindly share this opportunity. Thank you for helping us discover the next brilliant mind to join our dynamic team. If you have any questions or need more information, please don't hesitate to reach out. Warm regards, Mohamad Mohamad Habes, Ph.D. Associate Professor, Departments of Radiology, Ophthalmology, and Epidemiology PI Imaging Core, South Texas Alzheimer?s Disease Research Center (ADRC) Director, Neuroimage Analytics Laboratory (NAL) https://www.nallab.org Director, Biggs Institute Neuroimaging Core (BINC) Glenn Biggs Institute for Alzheimer?s & Neurodegenerative Diseases https://biggsinstitute.org Director, Biomedical Image Analytics Division (BIAD) Research Imaging Institute University of Texas Health Science Center San Antonio (UTHSCSA) 7703 Floyd Curl Drive, San Antonio, Texas 78229 (Phone) +1 210-450-8416 (Email) habes at uthscsa.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Postdoc_2025_BINC_NAL7.pdf Type: application/pdf Size: 73811 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Research_Assistant_2025_BINC_NAL3.pdf Type: application/pdf Size: 69761 bytes Desc: not available URL: From roland.w.fleming at psychol.uni-giessen.de Fri Nov 14 11:05:35 2025 From: roland.w.fleming at psychol.uni-giessen.de (Roland Fleming) Date: Fri, 14 Nov 2025 17:05:35 +0100 Subject: Connectionists: [JOBS] Two Coordinator Positions available at JLU Giessen Message-ID: <27443236-EA54-4C85-8057-A64627E49E0D@psychol.uni-giessen.de> Two Coordinator Positions available at JLU Giessen For our new Excellence Cluster The Adaptive Mind, we have two exciting coordinator positions open right now at JLU Giessen. One is the Scientific Coordinator for the whole cluster (time-limited to at most the duration of the project), the other is a permanent position (!) as head of our new TrainingHub. These aren't low-level admin positions, they require a deep understanding of our fields (experimental, clincial and developmental psychology, cognitive science, neuroscience, AI/ML/robotics), people skills, insight and autonomy ? The deadline is quite soon, so apply now via the following links: Scientific Coordinator https://www.uni-giessen.de/de/ueber-uns/karriere/stellenangebote/administratives-personal/527-06-1 TrainingHub Coordinator (note, ad is in German as the language is required) https://www.uni-giessen.de/de/ueber-uns/karriere/stellenangebote/administratives-personal/532-06 -------------- next part -------------- An HTML attachment was scrubbed... URL: From bisant at umbc.edu Fri Nov 14 16:47:21 2025 From: bisant at umbc.edu (David B) Date: Fri, 14 Nov 2025 16:47:21 -0500 Subject: Connectionists: Free printed copies of Neural Networks Message-ID: For those who want to complete a departmental collection or for those who prefer hardcopy browsing (like me). A retiring colleague gave them to me. Will deliver free within US Volumes 5/5-7/2, 9/5, 10/7-10/9, 12/2-13/6 (25 volumes in the range of 1992-2000) contact bisant at umbc.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Sat Nov 15 04:48:07 2025 From: announce at ucy.ac.cy (Announce) Date: Sat, 15 Nov 2025 09:48:07 +0000 Subject: Connectionists: The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): Second Combo Call for Workshop Papers Message-ID: *** Second 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 david at irdta.eu Sat Nov 15 06:29:05 2025 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 15 Nov 2025 12:29:05 +0100 (CET) Subject: Connectionists: DeepLearn 2026: early registration December 8 Message-ID: <886777729.29.1763206146307@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: December 8, 2025 ****************************************************** SCOPE: DeepLearn 2026 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Lule?, Bournemouth, Bari, and Porto. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedicine and healthcare, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, business and finance, biotechnology, physics and astrophysics, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, earth and sustainability, mathematical proofs, etc. etc. The field is also raising a number of relevant questions about efficiency and robustness of the algorithms, explainability, transparency, interpretability, risks and safety, as well as important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed and main challenges identified through 18 four-hour and a half courses, 2 keynote lectures, 1 round table, and a hackathon competition among participants. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduates, postgraduates and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, hence people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2026 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2026 will take place in Orl?ans, located in the heart of the Loire Valley, which was declared by UNESCO a World Heritage Site in 2000. The venue will be: University of Orl?ans Faculty of Law, Economics and Management 11 rue de Blois 45100 Orl?ans, France https://www.univ-orleans.fr/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their industrial developments for 10 minutes. The school will include a hackathon, where participants will be able to work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yingbin Liang (Ohio State University), Theoretical Characterization of Training Transformers for Chain-of-Thought Reasoning Le Song (Mohamed bin Zayed University of Artificial Intelligence), Multiscale Foundation Models for Biology PROFESSORS AND COURSES: (to be completed) Yuejie Chi (Yale University), [introductory/intermediate] Statistical and Algorithmic Foundations of Reinforcement Learning Bo Han (Hong Kong Baptist University), [introductory/intermediate] Trustworthy Machine Learning from Data to Models Jiawei Han (University of Illinois Urbana-Champaign), [intermediate] Structure-Guided, Theme-Based Knowledge Discovery with Large Language Models Mingyi Hong (University of Minnesota), [intermediate] Bilevel Optimization: Theory, Algorithms and Application in AI Cho-Jui Hsieh (University of California Los Angeles), [intermediate/advanced] Optimizers for Large Language Model Training Furong Huang (University of Maryland), [advanced] Generative AI Agents Tara Javidi (University of California San Diego), [intermediate] Active Physical Intelligence for Industrial Scale Monitoring Zhijin Qin (Tsinghua University), [intermediate/advanced] Semantic Communications Aarti Singh (Carnegie Mellon University), [intermediate] Human Centered AI: Challenges and Opportunities Masashi Sugiyama (University of Tokyo), [intermediate] Learning from Imperfect Supervision Zhangyang (Atlas) Wang (University of Texas Austin), [intermediate/advanced] Beyond Sparsity or Low Rank: In-Between Neural and Symbolic Learning Ming-Hsuan Yang (University of California Merced), [advanced] Recent Advances in Multimodal Understanding and Generation Tong Zhang (University of Illinois Urbana-Champaign), [introductory/intermediate] Reinforcement Learning for Foundation Models Jun Zhu (Tsinghua University), [introductory/advanced] Generative Models: from Virtual to Physical World OPEN SESSION: An open session will collect 5-minute voluntary oral presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 12, 2026. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Abstracts have to be submitted to david at irdta.eu by July 12, 2026. HACKATHON: A hackathon will take place, where participants can voluntarily work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer (University of Alabama). The challenges will be released 2 weeks before the beginning of the school. A jury will judge the submissions and the winners of each challenge will be announced by the end of August 2026. The winning teams will receive a modest monetary prize and the runners-up will get a certificate. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Karim Abed-Meraim (Orl?ans, local co-chair) Sergei V. Gleyzer (Tuscaloosa, hackathon chair) Meryem Jabloun (Orl?ans, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) Philippe Ravier (Orl?ans, local chair) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2026/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://deeplearn.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation will be delivered indicating the number of hours of academic activities (40). This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universit? d?Orl?ans Coll?ge Doctoral Centre-Val de Loire Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Luxembourg/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicolas.brunel at unibocconi.it Sat Nov 15 13:08:37 2025 From: nicolas.brunel at unibocconi.it (Nicolas Brunel) Date: Sat, 15 Nov 2025 19:08:37 +0100 Subject: Connectionists: Assistant Professor Position at Bocconi University Message-ID: The Department of Computing Sciences at Bocconi University invites applications for a Tenure Track Assistant Professor position. The new department of Computing Sciences, created four years ago and in a phase of rapid expansion, is an interdisciplinary department with leading international researchers in various fields including Theoretical Computer Science, Machine Learning Theory, Statistical Physics Modeling, Natural Language Processing, Computational Neuroscience, Computer Vision, as well as biomedical applications. In terms of teaching, the department has recently opened a bachelor in AI, a master in AI, and is strongly involved in the PhD program in Statistics and Computer Science. It has a strong core in theory and applied CS, and aims at broadening its portfolio, in particular towards applications of machine learning not yet currently represented. We are looking for outstanding candidates, curious and open to collaborations with colleagues from other fields. In principle the position is to be filled by 1st September 2026, but if necessary, the starting date could be delayed to 1st February 2027. Bocconi University is an amazingly vibrant academic community with leading academics in various fields. It is located in central Milan, Italy, offering undergraduate, graduate, PhD, MBA and Executive programs. *Qualifications* Applicants should have a Ph.D. in Computer Science or closely related areas, and should demonstrate the capacity for exceptional research achievement and the ability to teach effectively in undergraduate, masters, MBA and PhD programs. Experienced candidates should have an established track record of successful research and teaching. * Job information* The successful candidates will be expected to develop a strong publication record, broadly contribute to the academic life of the department and be effective teachers both at the undergraduate and graduate level. Compensation and teaching load will be competitive with other top European Schools. The contract will last for 6 years, with the possibility of becoming permanent after a successful tenure process. For additional information concerning the Department of Computing Sciences visit https://cs.unibocconi.eu/. Further details on the position may be requested from faculty at unibocconi.it. *How to apply* Applications including a CV, Research Statement and copies of recent publications (up to 5), plus 3 references must be submitted online at https://jobmarket.unibocconi.eu/?id=870. *Closing date* Applications must be received by 16th December 2025 and candidates will be interviewed online. Bocconi University is committed to increasing the diversity of its faculty. Applications are particularly welcome from women and members of groups who are under-represented in academic posts. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcella.cornia at unimore.it Mon Nov 17 03:00:00 2025 From: marcella.cornia at unimore.it (Marcella Cornia) Date: Mon, 17 Nov 2025 09:00:00 +0100 Subject: Connectionists: [CFP] IRCDL 2026 - Deadline Approaching (28 November 2025) Message-ID: ******************************** Call for Papers IRCDL 2026 22nd Conference on Information and Research Science Connecting to Digital and Library Science Modena, Italy February 19-20, 2026 https://ircdl2026.unimore.it/ ******************************** Apologies for multiple posting Please distribute this call to interested parties AIMS AND SCOPE =============== Since 2005, the Conference on Information and Research Science Connecting to Digital and Library Science (IRCDL) has been an annual event for researchers on Digital Libraries and related topics. IRCDL has become a key forum on digital libraries and associated issues. It covers various aspects, including new forms of information institutions, digital content management, and theoretical models of information media. The conference welcomes participants from academia, government, industry, and other sectors. It draws from diverse research areas such as computer science, digital humanities, information science, librarianship, archival science, museum studies, technology, social sciences, cultural heritage, and humanities. IRCDL 2026 features two distinct tracks, each with an associated special issue: - Track 1: Computer Science Foundations for Digital Libraries: Algorithms, Systems, and Applications This track examines core computer science concepts essential for digital libraries. It covers algorithms for information retrieval and data management, system architectures for large-scale digital collections, and practical applications in areas such as academic research and cultural heritage preservation. Special Issue: published in International Journal on Digital Libraries - Track 2: Digital Humanities: The Science and Foundation of Modern Humanities Libraries This track explores the intersection of digital technologies and humanities research. It examines computational methods for analyzing and preserving cultural artifacts, text mining techniques for large-scale literary analysis, and digital platforms for collaborative scholarship. Special Issue: published in Umanistica Digitale TOPICS ======= Submissions are welcome on theory, architectures, data models, tools, services, and infrastructures. Possible topics include, but are not limited to: - Open data - Open science: models, practices, mandates, and policies - Information retrieval and access - Information extraction from tables and figures in scientific literature - Machine learning and data mining for digital libraries - Generative AI and foundation models for digital libraries - Responsible and ethical AI in digital libraries - Ontologies - Knowledge discovery, representation, and reasoning in digital libraries - Knowledge acquisition from scientific papers - Document analysis (layout, text, images) - Services for digital arts and humanities - Cultural heritage access and analysis - Metadata (definition, management, curation, integration) - Digital manuscript analysis - Data repositories and archives - Data citation, provenance and pricing - Data and information lifecycle (creation, store, share and reuse) - Semantic web technologies and linked data for digital libraries - Digital epigraphy - Digital preservation and curation - Quality and evaluation of digital libraries - Digital scholarship - Citation analysis and scientometrics - Research infrastructures - User participation - Human-computer interaction and user experience - Multimodal and multimedia information management - Applications of digital libraries IMPORTANT DATES ================= - Submission deadline: November 28, 2025 - Notifications of acceptance: January 23, 2026 - Camera-ready deadline: February 6, 2026 - Conference: February 19-20, 2026 SUBMISSION GUIDELINES ====================== All submissions will be handled electronically via the conference CMT website: https://cmt3.research.microsoft.com/IRCDL2026 Research papers, describing original ideas on the listed topics and on other fundamental aspects of digital libraries and technology, are solicited. Moreover, short papers on early research results, new results on previously published works, and extended abstract on previously published works are also welcome: - Research papers: should be in the 10-12 pages range. - Short papers: should be in the 6-7 pages range. - Extended abstracts: should be 5 pages long. For all the submission types, references are not counted in the page limit. The accepted papers will be part of the IRCDL 2026 Proceedings, published by CEUR-WS. ORGANIZERS ======================= General Chairs: - Lorenzo Baraldi (University of Modena and Reggio Emilia) - Marcella Cornia (University of Modena and Reggio Emilia) Program Chairs: - Fabio Carrara (ISTI-CNR) - Vittorio Cuculo (University of Modena and Reggio Emilia) - Marilena Daquino (University of Bologna) - Stefano Marchesin (University of Padua) - Marina Paolanti (University of Macerata) Publication Chair: - Sara Sarto (University of Modena and Reggio Emilia) Publicity Chairs: - Emanuele Balloni (Universit? Politecnica delle Marche) - Davide Caffagni (University of Modena and Reggio Emilia) - Beatrice Portelli (University of Udine) Local Organization Chairs: - Davide Bucciarelli (University of Modena and Reggio Emilia & University of Pisa) - Evelyn Turri (University of Modena and Reggio Emilia) - Leonardo Zini (University of Modena and Reggio Emilia) Special Issue Chairs: - Gianmaria Silvello (University of Padua) - Giorgio Maria Di Nunzio (University of Padua) -- *Prof. Marcella Cornia* Associate Professor University of Modena and Reggio Emilia Department of Education and Humanities e-mail: marcella.cornia at unimore.it *UNI**MORE* -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: IRCDL2026.pdf Type: application/pdf Size: 360902 bytes Desc: not available URL: From hocine.cherifi at gmail.com Mon Nov 17 04:50:14 2025 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 17 Nov 2025 10:50:14 +0100 Subject: Connectionists: =?utf-8?b?8J+agCBEb27igJl0IE1pc3MgQ09NUExFWCBO?= =?utf-8?q?ETWORKS_2025_+_Tutorials_=28Dec_8=29!?= Message-ID: Dear Colleague, Registration is open for *COMPLEX NETWORKS 2025*, taking place *December 8?11* at *Binghamton University, New York*. ? *Tutorials ? December 8* Start the event with two expert-led sessions. ? *Conference ? December 9?11* 5 keynotes, 200+ presentations, posters, and Lightning. ? Program ? [https://complexnetworks.org/program/] ? Tutorials ? [https://complexnetworks.org/tutorials/] ? Registration ? [https://complexnetworks.org/registration/] We look forward to welcoming you in Binghamton! *COMPLEX NETWORKS 2025 Organizing Committee* Join us at COMPLEX NETWORKS 2025 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science Plos Complex Systems Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Evolutionary Intelligence -------------- next part -------------- An HTML attachment was scrubbed... URL: From giovanni.stanco at unina.it Mon Nov 17 11:52:03 2025 From: giovanni.stanco at unina.it (GIOVANNI STANCO) Date: Mon, 17 Nov 2025 16:52:03 +0000 Subject: Connectionists: [CoNEXT 2026] Call for papers In-Reply-To: References: Message-ID: Dear colleagues, You are invited to submit your high-quality work to the upcoming ACM CoNEXT 2026. =========================================== December 7-11, 2026 - Utrecht, The Netherlands Conference website: https://conferences.sigcomm.org/co-next/2026/#!/home Full CFP: https://conferences.sigcomm.org/co-next/2026/#!/cfp Submission Guidelines: https://conferences.sigcomm.org/co-next/2026/#!/submission =========================================== ---------------------- Important Dates for December Submissions ---------------------- * Paper Registration: December 5th, 2025 * Paper Submission: December 12th, 2025 * Early reject notification: February, 2026 * Notification of Acceptance: March 31st, 2026 * Camera Ready for accepted papers: April 30th, 2026 * Publication of accepted papers: June 2026 issue of PACMNET For papers given the one-shot major revision option: * Major revision due: May 29th, 2026 * Paper Submission: June 5th, 2026 * Camera Ready for accepted papers: July 31st, 2026 * Publication of accepted papers: September 2026 issue of PACMNET All deadline times are at 24:00 Anywhere on Earth (AoE). --------------------- Aims and Scope --------------------- We especially encourage submissions that present novel experimentation, creative use of networking technologies, and new insights made possible using analysis. We invite submissions on a wide range of networking topics. The list of topics includes (in alphabetical order): * Content distribution and caching, e.g., CDN, peer-to-peer, overlays * Design, analysis, and evaluation of network architectures * Experience and lessons learned by deploying large-scale networked systems * Experience with applying machine learning, large language models (LLMs) and generative AI to networking problems * In-network computing, NFV, and network programmability * Innovative uses of network data beyond communication * Network measurements and modeling * Internet economics and policy * Mobile and wireless network protocols and applications * Machine learning as applied to all layers of networking * Networked applications, including XR, web, video, and online social networks * Network and systems for AI * Network aspects of datacenters, cloud computing, operating systems, virtualization * Network aspects of IoT * Network control and management, including SDN * Network, transport, and application-layer protocols * Next-generation mobile networks * Reliability and availability of networks, protocols, and applications * Reproducibility of networking research * Routing and traffic engineering * Security and privacy aspects of network applications, protocols, and systems * Sustainable (e.g., energy-efficient, carbon-efficient) computing and networking We are open to other contributions that stretch networking research outside of these topics, present new emerging computing trends, or potentially involve unfamiliar techniques. We welcome experience submissions that clearly articulate lessons learned, as well as submissions that refute prior published results. We emphasize that the focus of CoNEXT is networking and its impact on networked applications. For example, papers focusing on the wireless physical layer without considering the impact on the network (e.g., quantitative performance benefits, deployment challenges) are out of scope. Similarly, contributions that focus on improvements and applications of AI models are welcome if they present a critical and in-depth analysis of the advantages and disadvantages of the proposed solutions, with a clear take-home message from a networking perspective. Potential authors who are unsure of the scope are encouraged to contact the PC chairs before submission. -------------------------- Thank you for your consideration. ACM CoNEXT'26 Organization Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From hash at jaist.ac.jp Tue Nov 18 00:12:41 2025 From: hash at jaist.ac.jp (Takashi Hashimoto) Date: Tue, 18 Nov 2025 14:12:41 +0900 Subject: Connectionists: JOB: Assistant Professors/Senior Lecturers in AI Social Human Sciences and Data-Driven Science and AI Co-creation in Japan Message-ID: <1d128be6-2fe0-c962-1427-68eb753e441e@jaist.ac.jp> Dear colleagues, Hope this email finds you well. Japan Advanced Institute of Science and Technology has opened two new positions of Assistant Professor or Senior Lecturer in 1. AI Social Human Sciences https://www.jaist.ac.jp/top/data/sdm20251023-1e.pdf - Conduct active research in the field of Empirical research on society, organizations, and humans through integration with AI such as generative AIs (LLMs, VLMs, etc.) - Researchers motivated to explore new possibilities in research on society, organizations, and humans through diverse applications of AI such as generative AI beyond research support tools 2. Data-Driven Science and AI Co-creation https://www.jaist.ac.jp/top/data/sdm20251023-2e.pdf - Conduct active research in the field of Accelerating Scientific Discovery and Applications through Data Science, Machine Learning, and Generative AI - Researchers motivated to engage in interdisciplinary research across diverse scientific fields including materials science, based on expertise in data science, machine learning, and generative AI, to drive data-driven scientific discovery and address societal challenges Starting Date: October 1, 2026 Application Deadline: December 17, 2025 (by 17:00 in Japan standard time) Best wishes, -- Takashi Hashimoto https://sites.google.com/view/jaist-hashimoto-lab-eng/ Professor, School of Knowledge Science Japan Advanced Institute of Science and Technology (JAIST) From sebastien.destercke at hds.utc.fr Tue Nov 18 10:51:30 2025 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Tue, 18 Nov 2025 16:51:30 +0100 Subject: Connectionists: Next SIPTA virtual seminar: 26th of November, K. Blackwell "Representing awareness change with sets of desirable gambles" Message-ID: <6525C0E3-9FA8-4420-8C30-40C619CECEF2@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 26th of November (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/83908951605 For this new seminar, we are very happy to have Kevin Blackwell as our speaker. Kevin Blackwell is currently a lecturer at Bristol Philosophy department, and has many contribution in the foundation of imprecise probabilities, with a recent focus on its most general forms using the notions of desirable gambles and of coherent choice functions. On the the 26th of November, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Representing awareness change with sets of desirable gambles?. 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 26th of November, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=Fk1YvCstMRw See you at the seminar! S?bastien, Enrique and Jasper From efipatm at gmail.com Wed Nov 19 05:09:31 2025 From: efipatm at gmail.com (Efi P) Date: Wed, 19 Nov 2025 12:09:31 +0200 Subject: Connectionists: Join the AIDA online short course "Nvidia DLI - Applications of AI For Anomaly Detection" by Dr. Laszlo Kovacs (University of Debrecen), 22/11/2025. Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the International AI Doctoral Academy (AIDA ), is excited to invite you to register and attend the upcoming online AIDA short course "Nvidia DLI ? Applications of AI For Anomaly Detection ". *Lecturer:* Dr. Laszlo Kovacs, University of Debrecen *Date:* 22 November 2025, 09:00 ? 17:00 CET (online) *About the Course* This short course offers a practical deep dive into detecting irregular patterns using cutting-edge AI techniques. Participants learn how to apply GPU-accelerated XGBoost, autoencoders, and GAN-based models to identify anomalies in real-world datasets across sectors like manufacturing, finance, and cybersecurity. Designed for learners with intermediate Python skills, this full-day training provides hands-on experience and an industry-recognized NVIDIA certificate upon completion. *Short CV of lecturer*: Dr Laszlo Kovacs received his Ph.D. degree in computer science. He is specialized in science and engineering in machine and deep learning, distributed computing, HPC environments, Nvidia GPU acceleration, and server virtualization. I am a Platinum Tier Level (top-rated) certified instructor and university ambassador at Nvidia Deep Learning Institute. He has experience in the research and development of autonomous vehicles in real and model-sized, including machine learning engineering, simulations, and digital twins. He is a Specialist Data Scientist and Q-IT. He is working on AI/ML-based product development, and real-time product-related data analysis solutions to support production and quality steering, including innovation in digitalizing quality IT. He has worked in the USA and currently working mostly in Germany and Austria. *Details* - Free of charge for university students and staff. An understanding of fundamental programming concepts in Python such as functions, loops, dictionaries, and arrays is a prerequisite. - Upon successful completion of the assessment, the participants will receive an *Nvidia Certificate of Competency*. - Registration: https://forms.office.com/e/sR2UdYsYKN - More information about the course: https://www.i-aida.org/course/nvidia-dli-applications-of-ai-for-anomaly-detection-2/ *For AIDA students*: For AIDA students *only* (AIDA students are PhD students/candidates or postdoc researchers belonging to any AIDA member): On the top of the above registration, we strongly encourage you to also enroll in this course through the AIDA website , so that a successful attendance of this course appears in the AIDA Certificate of Course Attendance. We look forward to your participation! Best regards, E. Patmanidou -------------- next part -------------- An HTML attachment was scrubbed... URL: From diego.perez at qmul.ac.uk Wed Nov 19 08:00:24 2025 From: diego.perez at qmul.ac.uk (Diego Perez Liebana) Date: Wed, 19 Nov 2025 13:00:24 +0000 Subject: Connectionists: IEEE CoG 2026 - Call for Full Technical Papers Message-ID: IEEE CoG 2026 - Call for Full Technical Papers 2026 IEEE Conference on Games (CoG), 1st ? 4th September Universidad Complutense de Madrid, Spain https://cog2026.fdi.ucm.es/ The annual IEEE Conference on Games (IEEE CoG) aims to be a leading venue for researchers and practitioners to exchange ideas and novel approaches to bring innovation in and through games. Games are a great domain to study and develop novel ideas in design, artificial intelligence, human-computer interaction, psychology, education, sociology, and creativity, as well as their applications in real-world problems. IEEE CoG 2026 will take place at Universidad Complutense de Madrid, located in Madrid, Spain. We invite contributions related to all game aspects, including, but not limited to: * Accessibility and inclusivity in games * AI for game development (automated playtesting, adaptation/personalization in games, etc.) * Esports and live-streaming * Extended reality (virtual reality, mixed reality, and augmented reality) * Game analytics, game data science, and data visualization * Game design (frameworks, game mechanics, etc.) * Game editors and authoring tools * Game-playing AI * Game technology (game engines, graphics, audio, animation, physics, networking, controls, etc.) * Game user research (player/opponent modeling, player experience studies, psychology of play and player types, etc.) * Games as test-beds for algorithms * Games for education, learning and development * Generative AI for games * Player-computer Interfaces * Procedural Content Generation * Serious/applied games (for health, sustainability, etc.) Please note: CoG is not a conference about game theory and does not accept papers about game theory unless they are applied to games people would play, such as video games or board games. This is a call for full technical papers. We invite the submission of full *technical* papers with an 8 page limit. Full *technical* papers should provide a technical or empirical contribution to scientific or engineering aspects of games. Relevant dates for this call are as follows: * Submission of full technical papers: 17th March 2026 * Notification of acceptance of full technical papers: 1st May 2026 * Submission of the camera-ready version of full technical papers: 28th May 2026 All page limits include references and appendices. NONE OF THE SUBMISSION DEADLINES WILL BE EXTENDED. All deadlines are Anytime on Earth (AoE). Other important dates: * Submission of auxiliary papers: 14th May 2026 * Notification of acceptance of auxiliary papers: 10th June 2026 * Submission of the camera-ready version of auxiliary papers: 24th June 2026 * Games industry talk proposals: 10th April 2026 * Notification of acceptance of games industry talk proposals: 24th April 2026 * Early bird (and author) registration: 24th June 2026 * Conference dates: 1st ? 4th September 2026 Submission Instructions Papers must be submitted through the conference submission system available at the following link: https://easychair.org/conferences?conf=ieeecog2026 All paper submissions should follow the recommended IEEE conference author guidelines. MS Word and LaTeX templates can be found at https://www.ieee.org/conferences/publishing/templates All submitted papers will be fully peer-reviewed, and accepted papers will be published in the conference proceedings and on IEEE Xplore. CoG will use a *double-anonymous review process*. Authors must omit their names and affiliations from their submissions, avoiding obvious identifying statements. Submissions not abiding by anonymity requirements will be desk rejected. Papers might be allocated to either poster presentations or oral presentations. We look forward to having you join us at CoG 2026 in Madrid. Best regards, The Organizing Committee of IEEE CoG 2026 --- Diego P?rez Li?bana Senior Lecturer in Computer Games and Artificial Intelligence Co-founder of Tabletop R&D Programme Director of the MSc Artificial Intelligence School of Electronic Engineering and Computer Science Queen Mary University of London 67-75 New Road, E1 1HH, London, UK Office: Whitechapel Campus, Empire House (DERI), second floor. Office hours: Wednesdays 9AM-11AM. Email me to arrange a meeting. email: diego.perez at qmul.ac.uk web: http://www.diego-perez.net Email notices: 1) You may have seen that I sometimes write emails outside (your) working hours. Please don't take this as an indication that I require an immediate response - we simply may be working at different times. 2) Because of the daily high load of emails, I may take some time to reply to you. If it's important, I may take even more time, because I want to provide an adequate response. If it's urgent, I'll try to reply quickly and maybe just with a very short email. No disrespect, just trying to be efficient - I'd understand if you did the same. [cid:d407ff4d-4c73-425f-814a-158c797c31c7] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-tlofflvk.png Type: image/png Size: 12762 bytes Desc: Outlook-tlofflvk.png URL: From aong at flatironinstitute.org Wed Nov 19 10:40:14 2025 From: aong at flatironinstitute.org (Allison Ong) Date: Wed, 19 Nov 2025 10:40:14 -0500 Subject: Connectionists: Workshop on Canonical Cortical Computations Message-ID: Simons Foundation Now Accepting Applications for Workshop on Canonical Cortical Computations The Center for Computational Neuroscience (CCN) at the Flatiron Institute and the Simons Foundation Neuroscience Collaborations invite applications to participate in a workshop aimed at developing a potential collaborative project focused on a mechanistic understanding of canonical cortical computations at the circuit level. The workshop will be held April 27?28, 2026, at the Simons Foundation?s offices in New York City. This workshop represents a new model for fostering large-scale scientific collaborations between CCN researchers and external scientists. We particularly encourage applications from experimentalists working in rodent and/or nonhuman primate models. While the envisioned collaborative project will primarily support external experimental work, theoretical and computational neuroscientists are also welcome to apply. For decades, efforts to fully understand canonical cortical computations were slowed by limited descriptions of cell types and connections, technical barriers to measuring and perturbing circuits in vivo and the abstract nature of theoretical models. Thanks to advances in anatomy, biophysics, connectomics, developmental biology and circuit-level tools, as well as powerful new computational and theoretical approaches, researchers are now poised to build and test models that more faithfully capture the function of canonical cortical circuits. We believe this will be possible only through a highly collaborative, vertically integrated partnership between theorists and experimentalists working together to build a framework for thinking about canonical circuit computations in the cortex. Approximately 30 workshop attendees will be selected from these applications. Participation in this workshop is not a guarantee of inclusion in a potential collaborative project or future funding. To apply, please submit your biosketch and a one-page statement describing your scientific expertise, how it connects to the scientific vision outlined above and what unique perspectives or contributions you will bring to the discussions. Apply here by January 5, 2026, at 5 p.m. ET. https://form.jotform.com/apschaffer/application-cortical-computations You will be notified by February 27, 2026, if you are selected to attend. For questions or issues with this application, please contact corticalcomputations at simonsfoundation.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pmandal5 at asu.edu Wed Nov 19 16:01:27 2025 From: pmandal5 at asu.edu (Pratanu Mandal) Date: Wed, 19 Nov 2025 14:01:27 -0700 Subject: Connectionists: =?utf-8?q?=5BCFP=5D_=5BExtended_Deadline=5D_WSDM_?= =?utf-8?q?2026_Workshop_on_Benchmarking_Causal_Models_=28CausalBen?= =?utf-8?b?Y2jigJkyNik=?= Message-ID: =============== CALL FOR PAPERS =============== ------------------------------------------------------------------- ? Paper submission deadline has been extended to November 30, 2025 ------------------------------------------------------------------- WSDM 2026 Workshop on Benchmarking Causal Models (CausalBench?26) [Location] BOISE, Idaho, USA (in conjunction with the ACM International Conference on Web Search and Data Mining ? WSDM 2026) [Date] February 26, 2026 [Website] https://wsdm26.causalbench.org/ OVERVIEW ======== The WSDM Workshop on Benchmarking Causal Models (CausalBench) aims to promote scientific collaboration, reproducibility, and fairness in causal learning research by providing a dedicated venue for work on benchmarking data, algorithms, models, and metrics for causal learning. CausalBench addresses the growing need for unified, publicly available, and configurable benchmarks that support causal discovery, causal effect estimation, and more general causal inference and learning research problems (e.g., A/B testing, experimental design, mechanistic interpretability, causal reasoning and causal RL etc.) across diverse applications, such as web search, data mining, public health, and sustainability. Standardized evaluation has historically driven progress in machine learning, as seen with UCI ML and KDD repositories, by encouraging collaborative research and reproducible science. The causal learning community now faces similar challenges: lack of unified benchmark datasets, algorithms, and metrics for reproducible evaluation. CausalBench workshop aims to - help identify existing datasets and metrics for causal learning and integrate them into standardized evaluation protocols, - encourage coverage, calibration, and uncertainty reporting for causal estimates, - develop ontologies for benchmarking, improving transparency and collaboration, - address challenges of incomplete causal knowledge and integration of heterogeneous datasets, and - help define evaluation standards to scientifically quantify progress in causal learning. The workshop will bring together researchers and practitioners to discuss new algorithms, datasets, and evaluation methodologies that help establish trust in causal learning innovation. Our goal is to foster discussion and community practices that make evaluation more transparent and comparable across different causal tasks?e.g., clarifying task taxonomies, surfacing assumption-linked metrics, and sharing accessible benchmark resources and artifacts. By encouraging open exchange on datasets and metrics, the workshop aims to catalyze incremental, evidence-based improvements to causal evaluation. TOPICS OF INTEREST ================== CausalBench welcomes submissions in the following research and application areas: [Benchmarking and Evaluation] Software frameworks, datasets, standard workflows/pipelines, and metrics for evaluating causal learning algorithms. [Algorithmic Advances] Novel causal discovery and causal inference models/algorithms with reproducible benchmarking results. [Data and Systems] Open-source platforms for data exchange, (automatic) model evaluation, and reproducing results for any causality related research problems: e.g., causal inference, causal discovery, causal representation learning, and causal recommendation. [Trustworthy AI] Causality-inspired methods, datasets, or metrics for benchmarking any aspect of trustworthiness of various AI systems and methods, including interpretability, safety, robustness, bias, and fairness. [Applications] Real-world demonstrations of causal benchmarking in domains, such as healthcare, finance, sustainability, and social systems?with a particular emphasis on applications in web search and data mining. Additional thematic sessions (e.g., invited talks, panels) will be held on emerging challenges in causal benchmarking. SUBMISSION GUIDELINES ===================== [Submission Site] https://easychair.org/my/conference?conf=causalbench26 [Format] Submissions must be formatted according to the ACM SIG Proceedings Template double-column format, with a font size no smaller than 9pt. [Length] We invite submissions of extended abstracts (2-3 pages, excluding references) and research articles (4-6 pages, excluding references) that align with the workshop's themes. [File Type] PDF, maximum file size 10 MB. [Review Process] Single-blind review. [Accepted Papers] All accepted papers will be presented at the workshop and included in the official WSDM Companion Proceedings Volume. ARTIFACTS AND REPRODUCIBILITY ============================= Submissions are encouraged to emphasize reproducibility, benchmark availability, and evaluation methodology. Authors are encouraged to make public and include links to code, datasets, experimental setups, and other supporting materials. While not required, the authors are also encouraged to share the relevant artifacts (data, model, metric, and benchmark runs) on CausalBench?s repositories. IMPORTANT DATES =============== All deadlines are at 11:59 PM (Anywhere on Earth) unless otherwise noted. [Paper Submission Deadline (extended)] ? Original: November 13, 2025 ? Extended: November 30, 2025 [Author Notification] December 18, 2025 [Camera-ready Deadline] TBD [Workshop Date] February 26, 2026 ORGANIZERS ========== [General Chairs] K. Sel?uk Candan, Arizona State University (Email: candan at asu.edu) Huan Liu, Arizona State University (Email: huanliu at asu.edu) [Program Chairs] Ruocheng Guo, Intuit AI Research (Email: ruocheng_guo at intuit.com) Paras Sheth, Amazon (Email: parshet at amazon.com) [Web Chair] Ahmet Kapki?, Arizona State University (Email: akapkic at asu.edu) [Publicity Chair] Pratanu Mandal, Arizona State University (Email: pmandal5 at asu.edu) DUPLICATE SUBMISSIONS AND NOVELTY REQUIREMENTS ============================================== All submissions will undergo a rigorous peer-review process to ensure quality and originality. Submissions must present original work not under review elsewhere. Concurrent submission to other venues is not permitted. Papers must cite prior work appropriately, including authors? own related publications. The submitted paper must substantially differ from earlier workshop papers by the same authors. INCLUSION AND DIVERSITY ======================= CausalBench embraces the values of diversity and inclusion in writing, participation, and representation. Authors should use inclusive language and examples that avoid stereotyping or marginalization of any group. CONFLICTS OF INTEREST ===================== Authors must declare any conflicts of interest with organizers or reviewers (e.g., recent collaborations, shared affiliations, advisor/advisee relationships). Submissions with incorrect conflict declarations are subject to rejection. ACM PUBLICATIONS POLICY ON RESEARCH INVOLVING HUMAN PARTICIPANTS AND SUBJECTS ============================================================================= As a published ACM author, you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects. POLICY ON AUTHORSHIP REQUIREMENTS and GenAI =========================================== We follow the ACM policy on authorship requirements. Specifically on the use of generative AI tools and technologies, the guidelines note that: "The use of generative AI tools and technologies to create content is permitted but must be fully disclosed in the Work. For example, the authors could include the following statement in the Acknowledgements section of the Work: ChatGPT was utilized to generate sections of this Work, including text, tables, graphs, code, data, citations, etc.). If you are uncertain about the need to disclose the use of a particular tool, err on the side of caution, and include a disclosure in the acknowledgements section of the Work." CONTACT INFORMATION =================== For questions or clarifications, please contact the organizers at wsdm26 at causalbench.org. ACKNOWLEDGEMENTS ================ We thank all the contributors and the community for their continuous support and feedback in making CausalBench a reliable and valuable resource for causal learning research. This workshop is funded by NSF Grant 2311716, "CausalBench: A Cyberinfrastructure for Causal-Learning Benchmarking for Efficacy, Reproducibility, and Scientific Collaboration", and NSF Grants #2230748, "PIRE: Building Decarbonization via AI-empowered District Heat Pump Systems", #2412115, "PIPP Phase II: Analysis and Prediction of Pandemic Expansion (APPEX)" and USACE #GR40695, "Designing nature to enhance resilience of built infrastructure in western US landscapes". -------------- next part -------------- An HTML attachment was scrubbed... URL: From risto at cs.utexas.edu Thu Nov 20 00:48:59 2025 From: risto at cs.utexas.edu (Risto Miikkulainen) Date: Wed, 19 Nov 2025 21:48:59 -0800 Subject: Connectionists: neuroevolution book Message-ID: <7DD319FD-F3C8-48B0-8E6B-37D0DC36A455@cs.utexas.edu> We are excited to announce the publication of "Neuroevolution: Harnessing Creativity in AI Agent Design", an MIT Press book by Sebastian Risi, Yujin Tang, David Ha, and Risto Miikkulainen. This is the first text of its kind: It reviews decades of work on building intelligent agents using population-based search, describes recent approaches for optimizing deep learning, RL, and GenAI models, and outlines future opportunities for creating AI that can discover surprising, effective solutions that often elude human designers. The online version of the book is now freely available in an open-access HTML format at the website below (the print version will come out in 2026). The website includes numerous demos, tutorials, exercises, and class materials that illustrate neuroevolution at work, and can serve as a starting point for your own explorations in creative agent design. Book website: https://neuroevolutionbook.com Overview blog: https://www.cognizant.com/us/en/ai-lab/blog/neuroevolution-book -------------- next part -------------- An HTML attachment was scrubbed... URL: From lisa.OTTEN at univ-amu.fr Thu Nov 20 07:55:28 2025 From: lisa.OTTEN at univ-amu.fr (OTTEN Lisa) Date: Thu, 20 Nov 2025 12:55:28 +0000 Subject: Connectionists: =?utf-8?q?Call_for_Contributions_to_the_EBRAINS_1?= =?utf-8?q?0-Year_Roadmap_2026=E2=80=932036?= Message-ID: <7C53D982-3287-4865-9826-7F5BCC894F13@univ-amu.fr> Dear Colleagues, EBRAINS is pleased to announce a call for contributions to the EBRAINS 10-Year Roadmap 2026?2036. This call is the first major step in a community-driven process that will define the scientific, clinical and technological priorities guiding the evolution of EBRAINS as Europe?s digital research infrastructure for neuroscience. Purpose and Vision EBRAINS invites the neuroscience, clinical, and technology communities to co-create the EBRAINS 10-year Roadmap 2026?2036 ? a shared vision and implementation plan for the next decade of digital neuroscience in Europe. This roadmap aims to identify the scientific, clinical, and technological priorities that will guide EBRAINS as a European research infrastructure. We seek visionary yet concrete proposals that define science that cannot be done elsewhere ? projects, capabilities, or collaborations uniquely enabled by EBRAINS? data, models, compute, and federated ecosystem. Proposed activities should make full use of the EBRAINS suite of digital tools and services. The call presentation by Prof. Viktor Jirsa, EBRAINS Chief Scientific Officer, will take place at the EBRAINS Summit 2025 - Transforming Brain Research and Medicine on December 10, 11h10?11h45 CET. Key actions and timeline Official launch of the roadmap process at the EBRAINS Summit 2025 December 10, 2025 Submission deadline for proposals March 1, 2026 EBRAINS Strategy Symposium Q2 2026 Publication of Roadmap Contributions April 15, 2026 Synthesis into the EBRAINS 10-Year Roadmap (approximately 10 pages) Q4 2026 Adoption of the Roadmap by EBRAINS governance as EBRAINS? official strategic framework Q1 2027 We are looking forward to your proposals and your participation to the call presentation at the EBRAINS Summiton December 10, 11h10?11h45 CET. Contributing to the EBRAINS 10-year Roadmap means taking part in defining the next decade of neuroscience - not as an observer, but as an architect. Find out more HERE about the purpose of EBRAINS 10-Year Roadmap, who can contribute, format of contributions, why participate, review and integration process, review criteria. Kind regards, Viktor Jirsa, Katrin Amunts, Philippe Vernier on behalf of the EBRAINS Management Board ebrains-roadmap at ebrains.eu -------------- next part -------------- An HTML attachment was scrubbed... URL: From auke.ijspeert at epfl.ch Thu Nov 20 13:59:14 2025 From: auke.ijspeert at epfl.ch (Auke Ijspeert) Date: Thu, 20 Nov 2025 19:59:14 +0100 Subject: Connectionists: [Meetings] Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026. Message-ID: <736f2ac1-aacc-4387-82d0-31330b9ad138@epfl.ch> Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026. Dear connectionists, We are happy to announce the *Gordon Research Conference (GRC) in Robotics *that will take place in Ventura (USA), January 11-16 2026. We have a great list of speakers and discussion leaders (see below and the website). The schedule has been published, and a call for participation and for posters in now open, see https://www.grc.org/robotics-conference/2026/ *Please apply soon, as the total number of participants is limited. December 14 is the final deadline, but the remaining seats will likely be assigned by then.* 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 samarasinghe at ini.rub.de Thu Nov 20 10:14:13 2025 From: samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Thu, 20 Nov 2025 16:14:13 +0100 Subject: Connectionists: Postdoc position in computational NS - Ruhr University Bochum, Germany Message-ID: <1d11c5fd-a011-416d-87d2-ba0829e51cae@ini.rub.de> *Position as Postdoctoral Scholar in Computational Neuroscience* Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches, including biological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a talented *Postdoc* to join our team, someone whose primary task will be developing advanced algorithms to analyze learning dynamics. You will be analyzing neural, psychophysiological, and behavioral data from other projects within the SFB 1280 (https://sfb1280.ruhr-uni-bochum.de/en/home/ project F01) to compare learning dynamics across individuals, species, and paradigms. You will provide theoretical support to collaborating projects and coordinate the analysis of the data collected from experimental groups. This position is 100% at TV-L E13, starting on 01.03.2026, and is funded until 30.06.2029. *Your Profile:* Candidates must have: * an excellent doctoral degree in neuroscience, physics, mathematics, engineering, or a related field (mandatory) * competence in mathematical modeling (mandatory) * excellent programming skills, e.g., Python (mandatory) * relevant research experience in neuroscience or a related field is required * experience in the study of learning dynamics * experience working within a collaborative research group * excellent communication skills in English, and * team spirit. We are committed to providing a supportive work environment for female researchers and those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare can be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. We strongly encourage applications from qualified women and persons with disabilities. The official posting for this position can be found at https://jobs.ruhr-uni-bochum.de/jobposting/ca74ad0f5c0f99ec276b0d6ca56195d54f382d2e0 To apply please submit an application via our online portal https://jobs.ruhr-uni-bochum.de/en/jobposting/ca74ad0f5c0f99ec276b0d6ca56195d54f382d2e0/apply Upload your letter of motivation, CV, transcripts and research statement. *Application deadline:*?01.01.2026 Please feel free to get in touch with me if you have any questions. Vinita -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/73 Postfachnummer 110 Universit?tstr. 150 44801 Bochum Tel: +49 (0)234 32 27996 Mobile: +49 (0)1512 7278698 Email: samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From louise.dennis at manchester.ac.uk Thu Nov 20 11:45:19 2025 From: louise.dennis at manchester.ac.uk (Louise Dennis) Date: Thu, 20 Nov 2025 16:45:19 +0000 Subject: Connectionists: Call for Nominations: Autonomous Agents Award 2026 Message-ID: Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award. This award is made for excellence in research in the area of autonomous agents. It is intended to recognize researchers in autonomous agents whose current work is an important influence on the field. The award is an official ACM award, funded by an endowment created by ACM SIGAI from the proceeds of previous Autonomous Agents conferences. The recipient of the award will receive a monetary prize and a certificate, and will be invited to present a plenary talk at the AAMAS 2026 conference. *************** How to Nominate *************** Anyone can make a nomination. Nominations should be made by filling out the below google form, and should consist of a short (< 1 page) statement that emphasizes not only the research contributions that the individual has made that merit the award but also how the individual?s current work is an important influence on the field. NOTE: a candidate can only be considered for the award if they are explicitly nominated. If you believe that someone deserves the award, then NOMINATE THEM -- don't assume that somebody else will! Nomination Link: https://forms.gle/RNLZgbbaPQe6TDsb6 [forms.gle] *************** Important Dates *************** 15 December 2025 -- Deadline for nominations 1 February 2026 -- Announcement of winner 25-29 May 2026 -- AAMAS-2026 conference in Paphos, Cyprus For any questions please contact Edith Elkind (Award Chair, edith.elkind at northwestern.edu) or Louise Dennis (SIGAI Vice Chair, louise.dennis at manchester.ac.uk). -- Dr. Louise Dennis (She/Her). Room LF21 Kilburn, Department of Computer Science, University of Manchester, UK. While I may send emails outside of office hours, I do not expect replies except within office hours. From gualtiero.volpe at unige.it Fri Nov 21 05:13:10 2025 From: gualtiero.volpe at unige.it (Gualtiero Volpe) Date: Fri, 21 Nov 2025 11:13:10 +0100 (CET) Subject: Connectionists: ACM ICMI 2026: Call for Multimodal Grand Challenges Message-ID: <1285694372.16.1763719990911@[130.251.219.168]> An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Fri Nov 21 07:16:11 2025 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Fri, 21 Nov 2025 13:16:11 +0100 Subject: Connectionists: Jenny Saffran speaking on Thursday, December 4 in Developing Minds global online lecture series Message-ID: <496D3414-27A8-4B0F-A377-4F02A084D413@fias.uni-frankfurt.de> Dear colleagues, On December 4, the Developing Minds global online lecture series is proud to host Jenny Saffran from Univ. of Wisconsin-Madison, speaking on: "Learning to understand: Statistical learning and language development?. Thursday, December 4, 2025 8:00 am CT (Central Time, USA) 2:00 pm UTC (Universal Coordinated Time) 15:00 CET (Central European Time) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/65360492761?pwd=E7EbBT8uMVWgyhBAYAJgLz33RHIdu2.1 Meeting-ID: 653 6049 2761 Kenncode: 352501 Abstract: Infants rapidly develop from being na?ve listeners, who experience language as a sea of sounds, to understanding their native language(s). How does this remarkable learning process unfold? One potentially useful source of information lies in the statistical patterns that characterize natural languages, which signal structures ranging from phonemes to words to grammatical structures. Beyond merely tracking these patterns, how might infants use statistical regularities to support language development? In my presentation, I will explore the hypothesis that infants exploit statistical regularities in the service of efficiently processing information in their linguistic environments. Short Bio: Dr. Jenny Saffran has been on the faculty of the University of Wisconsin-Madison since she received her Ph.D. in 1997. Her research program focuses on how infants learn, particularly in the domain of language. She is a highly engaged teacher and mentor to students at all levels. Dr. Saffran is the recipient of numerous awards for her scholarship and teaching, including as the inaugural recipient of the Jeffrey Elman Prize for Scientific Achievement and Community Building from the Cognitive Science Society. She was elected to the American Academy of Arts and Sciences in 2015. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From S.C.Bowes at sussex.ac.uk Fri Nov 21 08:49:11 2025 From: S.C.Bowes at sussex.ac.uk (Simon Bowes) Date: Fri, 21 Nov 2025 13:49:11 +0000 Subject: Connectionists: FINAL CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex Message-ID: CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex (DEADLINE: November 30, 2025) Contact: Simon Bowes (S.C.Bowes at sussex.ac.uk) AISB 2026 will be held at the University of Sussex on the 1st-2nd July. For more information please see the website at https://aisb.org.uk/. (Note: to coincide with the conference, a day to celebrate the life and work of Prof Margaret Boden is being held at Sussex on 30th June, 2026. Attendance is free for attendees of the AISB conference. If you have any questions, please contact Simon Bowes (S.C.Bowes at sussex.ac.uk).) Keynote Speaker: Anil Seth The AISB 2026 convention will follow the same overall structure as previous conventions, namely a set of co-located symposia, and we are seeking proposals for these symposia. Typical symposia last for one or two days, and can include any type of event of academic benefit: talks, posters, panels, discussions, demonstrations, outreach sessions, etc. Proposals for Symposia are welcomed in all areas of AI and cognitive science. Some suggested areas are shown below, although any proposal in the field of AI or cognitive science will be welcomed: * AI in Education * Agency & AI * Art & AI * Artificial Life * Cognitive & Computational Neuroscience * Computational theory of mind * Computational Intelligence * Consciousness * Embodiment and AI * Ethics of AI * Human and Machine Creativity * Hybrid Human-AI * Knowledge Representation * Machine Learning * Robotics * Bio-inspired approaches. * Simulation of Human and Animal Behaviour * The Turing Test and Philosophical Foundations of AI -------------------------------------------------------------------------------- Proposing a Symposium Each symposium is organized by its own programme committee. The committee proposes the symposium, defines the area(s) and structure for it, issues calls for abstracts/papers etc., manages the process of selecting submitted papers for inclusion, and compiles an electronic file for inclusion in the convention proceedings. Proposers are welcome to submit or be involved with more than one proposal. Proposers need not already be members the AISB and will not be required to become members. They will of course be encouraged to join! Deadline for symposium proposals: 30th November 2025 Notification of acceptance: 15th December 2025 -------------------------------------------------------------------------------- Submissions should consist of the following - A title. - A 300?1000-word description of the scope of the symposium, and its relevance to the convention along with the nature of the academic events (talks, posters, panels, demonstrations, etc.). - Whether the symposium is intended as a sequel to a symposium at a previous AISB conference. - An indication of whether submissions will be by abstract, extended abstract, or full paper. - Your preferences about the intended length of the symposium as a number of days (half a day, one day or two days), together with a brief justification. - A description (up to 500 words) of any experience you have in organization of academic research meetings (please note that it is not a requirement that you have such experience). - Names and affiliations of any invited speakers that you may have in mind for the symposium. - Your names and full contact details, together with, if possible, names and workplaces of the members of a preliminary, partial programme committee. - Please e-mail your completed proposal to Simon Bowes: S.C.Bowes at sussex.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Fri Nov 21 13:29:00 2025 From: dhansel0 at gmail.com (David Hansel) Date: Fri, 21 Nov 2025 10:29:00 -0800 Subject: Connectionists: New recording on the VVTNS YouTube channel 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 *Uncertainty-aware predictive processing * delivered on November 12, 2026 by Katharina Anna Wilmes Institute of Neuroinformatics Zurich *Abstract:* Minimising cortical prediction errors is thought to be a key computation underlying perception, action, and learning. Yet, how the cortex represents and uses uncertainty in this process remains unclear. In the first part of this talk, I will present a normative framework showing how uncertainty can modulate prediction error activity to yield uncertainty-modulated prediction errors (UPEs), hypothesised to be represented by layer 2/3 pyramidal neurons. We propose that these UPEs are computed through inhibitory mechanisms involving SST and PV interneurons. A circuit model demonstrates how cortical cell types can locally compute means, variances, and UPEs, leading to adaptive learning rates. In the second part, I will discuss how uncertainty modulation could be controlled by higher-level representations. We formally derived neural dynamics that minimise prediction errors under the assumption that cortical areas must not only predict the activity in other areas and sensory streams but also jointly project their inverse expected uncertainty about their predictions, which we call ?confidence?. This yields a confidence-weighted integration of bottom-up and top-down signals, consistent with Bayesian principles, and predicts the existence of second-order errors that compare confidence with performance. We predict that these second-order errors propagate alongside classical prediction errors through the cortical hierarchy, and simulations demonstrate that this mechanism enables nonlinear classification within a single cortical area. *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.* 2022 ? ? ? ? ? ? ? -------------- 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 jiankliu at gmail.com Fri Nov 21 06:52:22 2025 From: jiankliu at gmail.com (Jian Liu) Date: Fri, 21 Nov 2025 11:52:22 +0000 Subject: Connectionists: PhD Positions in NeuroAI at the University of Birmingham In-Reply-To: References: Message-ID: The lab of Dr Jian Liu invites applications for several PhD positions at the interface of computational neuroscience and machine learning, at the School of Computer Science and Centre for Human Brain Health at the University of Birmingham. Candidates with a quantitative background are welcome to apply. We are seeking highly motivated candidates with a spirit of intellectual curiosity. The positions will come with competitive work conditions. Generous traveling budgets are available. The following application is approaching the deadline, while other funded projects are open for applicants. Towards a functional model for motor sequence planning Secondary Supervisor(s): Dr Katja Kornysheva University of Registration: University of Birmingham BBSRC Research Themes: Understanding the Rules of Life (Neuroscience and Behaviour ) *DDL: 27/11/2025* Project Outline Motor planning, the cognitive process that precedes voluntary movement, is essential for executing skilled actions. Uncovering the neural mechanisms behind motor planning is key to understanding how the brain coordinates complex, sequential behaviours. This research will investigate the neural dynamics involved in motor planning, with an emphasis on how the brain organizes and prepares motor sequences. Previous studies suggest that neural competitive queuing of ordinal structures plays a central role in skilled sequential actions [1], allowing the brain to resolve competition between movements. Furthermore, recent research highlights the use of expansive null-space representations in motor cortex of non-human primate, which prepare movements while preventing premature execution [2]. Building on these insights, this project will explore how neural networks within the brain coordinate motor planning, focusing on exploring neural dynamics in different parts of brain areas. Human recordings conducted at the CHBH provide a rich foundation of experimental data for this study. The data, gathered through different modalities, will inform the development of a theoretical model that is consistent with both these new datasets and previously published results. The project will also involve designing new experiments based on the model?s theoretical predictions to validate or refine the proposed framework. By integrating advanced neural network models, we aim to build a comprehensive modelling framework of motor sequence planning that aligns with experimental findings. These models will provide valuable insights into human motor sequence planning, offering a deeper understanding beyond current non-human primate studies. [1] Kornysheva, et al. Neural competitive queuing of ordinal structure underlies skilled sequential action. Neuron 101, 11-15 (2019) [2] Churchland and Shenoy, Preparatory activity and the expansive null-space. Nat. Rev. Neurosci. 25 (4), 213-236 (2024) *To Apply:* https://warwick.ac.uk/fac/cross_fac/mibtp/phd/supervisors/jliu The School of Computer Science at the University of Birmingham is one of the leading UK institutions for research and teaching in computer science. Our research is ranked 3rd across all UK universities according to the latest UK-wide Research Excellence Framework. Education is ranked 7th in the UK for computer science, according to 2023 tables. While pursuing excellence in research and education, we also aim to optimize our positive impact on society?examples include collaborations with industry partners and charities, commercialisation activities and an extensive wider participation programme. The University of Birmingham is committed to providing equal opportunities for all and offers a range of family friendly policies. We are committed to being an inclusive workplace that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees. If female candidates are selected, the maternity leave will be fully guaranteed and the children care responsibilities will be satisfied (e.g. working in part time). We will also actively promote gender equality in education and employment opportunities through workshops, seminars, webinars, and university open days. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Nov 23 15:20:49 2025 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 23 Nov 2025 12:20:49 -0800 Subject: Connectionists: World wide VVTNS series (6th season): Wednesday, 26, 2025, at 11:00 am ET - Alfonso Renart | Champalimaud Centre for the Unknown, Lisbon 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 Alfonso Renart Champalimaud Centre for the Unknown, Lisbon on the topic of Flexible analog computation in low-rank balanced spiking networks The lecture will be held on zoom on November 26, 2025, at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Recurrent networks with balanced excitation-inhibition explain a wide range of neurophysiological observations, but can only implement a limited set of transformations on their input. On the other hand networks of firing-rate units with low-rank connectivity have universal computational capabilities, but do not work with spikes or generate noise self-consistently. Although empirical approaches to merge these two computational frameworks have been constructed, there is no established theory describing their unification. Here we develop such a theory. We study analytically and numerically networks with connectivity comprising random ?strong?, and low-rank ?weak? components. When the low-rank connectivity is slow, a well-defined notion of instantaneous firing rate emerges which implies universal computation as previously shown. However, the fact that such time-varying rates are the result of E-I balance has important implications. We show that internally or externally generated fluctuations along particular latent modes tend to break the E-I balance. Its maintenance is obtained through the emergence of a spontaneous coupling between the mean and the variance of the membrane potential and the norm of the latent state driving these modes. This leads to several predictions, the most counterintuitive of which is that coherent global fluctuations in subthreshold membrane potential (Vm) should coexist with desynchronized activity at constant firing rates when the dynamics of these modes is excited. To test our theory, we show that the coupling between the average Vm and the latent state adds new non-linear dimensions to the low-dimensional manifold of the network, which lead to a frequency doubling when the input to the network is periodic, a prediction that is borne out in population recordings from mouse V1. Our results unify two prevalent frameworks for cortical computation and clarify the relationship between computation, dynamics and geometry in circuits of spiking neurons. *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.* ? -- *Il n'y a ni obligation ni pression ? traiter ou r?pondre ? ce mail en dehors des heures de travail* "? ?????? ????? ???? ???? ?????" 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ? -------------- 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 Kevin.Lam at mpi.nl Mon Nov 24 04:29:54 2025 From: Kevin.Lam at mpi.nl (Lam, Kevin) Date: Mon, 24 Nov 2025 09:29:54 +0000 Subject: Connectionists: IMPRS for Language Sciences PhD Fellowships 2026 In-Reply-To: <60b57acd5f744398af120f5d697e0b0b@mpi.nl> References: <60b57acd5f744398af120f5d697e0b0b@mpi.nl> Message-ID: <1c7f96ddb13c49759c094b360c168e9d@mpi.nl> ** IMPRS for Language Sciences PhD Fellowships 2026 ** The International Max Planck Research School (IMPRS) for Language Sciences is offering two fully-funded PhD Fellowship for four years (2026-2030) with a preferred start-date in September or October, 2026. The goal of the scheme is to enable young researchers to pursue interdisciplinary research projects in the language sciences, supervised by leading scientists at the Max Planck Institute for Psycholinguistics and its partner institutes at the Radboud University -- the Centre for Language Studies and the Donders Institute for Brain, Cognition and Behaviour. https://www.mpi.nl/ | https://www.ru.nl/cls | https://www.ru.nl/donders Find out more about the Fellowships and read first-hand accounts by our members: https://www.mpi.nl/imprs-phd-fellowships-2026 | https://www.mpi.nl/imprs Share this opportunity on LinkedIn. The application deadline is 5 January, 2026. Thanks in advance. Best wishes from Nijmegen, Dr. Kevin Lam, Graduate School Coordinator http://www.mpi.nl/imprs | https://www.mpi.nl/people/lam-kevin -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Mon Nov 24 08:52:12 2025 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Mon, 24 Nov 2025 13:52:12 +0000 Subject: Connectionists: NEURAL NETWORKS, Dec. 2025 Message-ID: Neural Networks - Volume 192, December 2025 https://www.journals.elsevier.com/neural-networks Linkage on security, privacy and fairness in federated learning: New balances and new perspectives Linlin Wang, Tianqing Zhu, Wanlei Zhou, Philip S. Yu Design and analysis of gradient-based differential neural network for solving time-varying quadratic problems with inequality constraint Yang Zeng, Cheng Hua, Bolin Liao, Zhan Li DialogueLLM: Context and emotion knowledge-tuned large language models for emotion recognition in conversations Yazhou Zhang, Mengyao Wang, Youxi Wu, Prayag Tiwari, ... Jing Qin Two novel cold-start multistage neural solvers for constrained nonlinear equations with extended time horizons Qiuyue Zuo, Haibing Fan, Lin Xiao, Zhizhong Liu MetaNIRS: A general decoding framework for fNIRS based motor execution/imagery Yu Li, Yu Sun, Feng Wan, Zhen Yuan, ... Hongtao Wang CognitMoE: A cognition-aware collaborative multi-expert network for bipolar disorder diagnosis Xiaotong Zhu, Yudie Wang, Yuqing Ma, Zhange Zhang, Yujun Gao Kernel-based LFP estimation in detailed large-scale spiking network model of mouse visual cortex Nicol? Meneghetti, Atle E. Rimehaug, Gaute T. Einevoll, Alberto Mazzoni, Torbj?rn V. Ness Detector-based boundary synchronization control of hidden Markov jump reaction-diffusion neural networks Lin Sun, Hailong Huang, Yan Peng, Juntong Qi Dual branch neural network with dynamic learning mechanism for P300-based brain-computer interfaces Shurui Li, Ren Xu, Xingyu Wang, Andrzej Cichocki, Jing Jin EEGMamba: An EEG foundation model with Mamba Jiquan Wang, Sha Zhao, Zhiling Luo, Yangxuan Zhou, ... Gang Pan Explainable multiplex graph propagational network with multimodal neuroimage integration for dementia subtype diagnosis Sunghong Park, Dong-gi Lee, Juhyeon Kim, Dokyoon Kim, ... Hyunjung Shin A novel model on improving Chinese dialogue summarization with multi-perspective information enhancement Zhendong Wang, Kaikun Dong, Zongwei Du, Junheng Huang, ... Bailing Wang Aspect-based sentiment analysis based on multi-granularity graph convolutional network Yanfen Cheng, Minghui Yuan, Fan He, Xun Shao, Jiajun Wu PKI: Prior knowledge-infused neural network for few-shot class-incremental learning Kexin Bao, Fanzhao Lin, Zichen Wang, Yong Li, ... Shiming Ge Multiple semantic prompt for rehearsal-free continual learning Junwei Chen, Zhenyu Zhang, Depeng Li, Zhigang Zeng Effective and lightweight representation learning for signed bipartite graphs Gyeongmin Gu, Minseo Jeon, Hyun-Je Song, Jinhong Jung Tensor wheel completion for visual data with sparsity and smoothness on latent space Jinshi Yu, Yuan Xie, Ge Ma, Xiaomeng Li A survey of low-bit large language models: Basics, systems, and algorithms Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, ... Xianglong Liu Human gaze-based dual teacher guidance learning for semi-supervised medical image segmentation Rongjun Ge, Chong Wang, Yuxin Liu, Chunqiang Lu, ... Yuting He Contrastive Forward-Forward: A training algorithm of vision transformer Hossein Aghagolzadeh, Mehdi Ezoji PVBF: A framework for mitigating parameter variation imbalance in online continual learning Zelin Tao, Hao Deng, Mingqing Liu, Lijun Zhang, Shengjie Zhao Representation-driven sampling and adaptive policy resetting for improving multi-Agent reinforcement learning Weiqiang Jin, Xingwu Tian, Ningwei Wang, Baohai Wu, ... Guang Yang Multi-view contrastive learning for graph adversarial defense Xiao Zhang, Peng Bao Pre- to post-contrast medical image synthesis with outline-guide accelerate diffusion model Xueying Fan, Liming Xu, Bochuan Zheng, Xianhua Zeng, ... Zhiwei Huang Experimental data-efficient reinforcement learning with an ensemble of surrogate models Jiazhou Jiang, Zhiyong Chen DILC-ESAE: Data-Info envelope stacked autoencoder on correlation among samples rather than themselves Jie Ma, Chuanyan Zhou, Zhixuan Fan, Yongming Li, ... Pin Wang Exploring dual-view graph structures: Contrastive learning with graph and hypergraph for multivariate time series classification Ziyi Xiao, Cong Luo, Jiajia Hu, Guodong Sa, Yueyang Wang Decoding natural visual scenes via learnable representations of neural spiking sequences Jing Peng, Shanshan Jia, Jiyuan Zhang, Yongxing Wang, ... Jian K. Liu Adversarial purification with one-step guided diffusion model Yanchun Li, Zemin Li, Long Huang, Lingzhi Hu, ... Dongsu Shen M^3T-CKD: A multi-modal multi-teacher contrastive knowledge distillation framework for survival prediction of patients with carotid atherosclerosis Nana Jia, Tong Jia, Zhiao Zhang, Yanchao Zhang, ... Shuang Liu Price-aware debiased learning model for recommendation Jiajin Wu, Bo Yang, Qianyang Zhu, Runze Mao, Qing Li DP2Unlearning: An efficient and guaranteed unlearning framework for LLMs Tamim Al Mahmud, Najeeb Jebreel, Josep Domingo-Ferrer, David S?nchez Multiple one-shot image generation via deep structure reshuffle Yao Gou, Min Li, Yusen Zhang, Xianjie Zhang, Yujie He SS-KAN: Self-supervised Kolmogorov-Arnold networks for limited data remote sensing semantic segmentation Jiyong Zhang, Zeyan Jin, Yiqian Xia, Xihua Yuan, ... Deguang Li Beyond Homophily: Class imbalance graph classification via Rewiring Graph of Graphs Hui Shen, Huifang Ma, Jiyuan Sun, Yuwei Gao, Zhixin Li ShiftKD: Benchmarking knowledge distillation under distribution shift Songming Zhang, Yuxiao Luo, Ziyu Lyu, Xiaofeng Chen A comprehensive assessment benchmark for rigorously evaluating deep learning image classifiers Michael William Spratling Neuro-dynamic programming-based event-triggered fault tolerant control for nonlinear systems with multiple faults Haowei Lin, Weifeng Su, Runlin Huang, Bo Zhao, ... Wentao Fan GSAformer: Group sparse attention transformer for functional brain network analysis Lina Zhou, Xiao Jiang, Mengxue Pang, Jinshan Zhang, ... Lishan Qiao LeanKAN: a parameter-lean Kolmogorov-Arnold network layer with improved memory efficiency and convergence behavior Benjamin C. Koenig, Suyong Kim, Sili Deng Reinforcement learning with temporal and variable dependency-aware transformer for stock trading optimization Yifan Li, Xu Dong, Zhuang Wu, Jing Gao, ... Lina Yu Optimizing the multi-objective traveling salesman problem with a deep reinforcement learning algorithm using cross fusion attention networks Xiaoyu Fu, Shenshen Gu, Chee-Meng Chew Enhancing adversarial transferability via transformation inference Jiaxin Hu, Jie Lin, Xiangyuan Yang, Hanlin Zhang, Peng Zhao DMCA-Net: Dual-branch multi-granularity hierarchical contrast and cross-attention network for cervical abnormal cell detection Zhiping Wang, Peng Yao, Shuwei Shen, Pengfei Shao, ... Ronald X. Xu Dominant preference decoupling and guided perturbed preference injection for cross-domain sequence recommendation Xiuze Li, Zhenhua Huang, Changdong Wang, Yunwen Chen FairForensics: mitigating attribute bias in deepfake detection by integrating texture and attribute features Chunlei Peng, Yinyin Chen, Decheng Liu, Nannan Wang, Xinbo Gao RoSwish: A novel Rotating Swish activation function with adaptive rotation around zero Shengbo Zhang, Guoqiang Ren Wind power generation forecasting system based on multi-model intelligent fusion strategy and probabilistic forecasting technology Yamei Chen, Jianzhou Wang, Runze Li, Bo Zeng, Haiyan Lu Adaptive set-level metric for few-Shot image classification Yadang Chen, Zhen Xu, Jin Wang, Zhi-Xin Yang Family-based continual learning for multi-domain pattern analysis in federated frameworks with GCN and ViT Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan, Zongze Wu, ... Weixiang Liu CMFF: Cross-modal feature fusion network for robust point cloud completion Jian Gao, Yuhe Zhang, Pengbo Zhou, Xinda Liu, ... Guohua Geng Boosting Knowledge Graph with Diverse-Aware Intent Inference for recommendations Shaoqing Lv, Chichi Wang, Ju Xiang, Zhiqiang Bao, Min Li A cause fusion framework with information bottleneck for conversational causal emotion entailment Xinxin Su, Zhen Huang, Menglong Lu, Sisi Dai, ... Yunxiang Zhao JCCMTM: Joint channel-independent and channel-dependent strategy for masked multivariate time-series modeling Qi Li, Zhenyu Zhang, Yong Zhang, Zhao Zhang, ... Junlan Feng MultiverseAD: Enhancing spatial-temporal synchronous attention networks with causal knowledge for multivariate time series anomaly detection Xudong Jia, Defu Cao, Niangxi Zhuang, Wei Peng, ... Chiran Shen MPGM:Multi-prompt generation model with self-supervised contrastive learning for aspect sentiment triplet extraction Kun Yang, Liansong Zong, Mingwei Tang, Jie Hu, ... Mingfeng Zhao Efficient offline-to-online reinforcement learning with pre-reduced out-of-distribution Q-values Tao Wang, Xiangfeng Luo, Zhenyu Zhang, Shaorong Xie GAE-Net: A gait-assisted enhancement network for video-based person re-identification Minting Dai, Xi Yang, Wenjiao Dong, Nannan Wang STARFormer: A novel spatio-temporal aggregation reorganization transformer of FMRI for brain disorder diagnosis Wenhao Dong, Yueyang Li, Weiming Zeng, Lei Chen, ... Nizhuan Wang A functional iterative approach for twin bounded support vector machine with squared pinball loss (Spin-FITBSVM) Deepak Gupta, Barenya Bikash Hazarika, Umesh Gupta Liquid state machines Gaussian process Hengbin Liu, Xin Wang, Changsheng Li, Ning Tan Context selectivity with dynamic availability enables lifelong continual learning Martin L.L.R. Barry, Wulfram Gerstner, Guillaume Bellec X-UNet:A novel global context-aware collaborative fusion U-shaped network with progressive feature fusion of codec for medical image segmentation Shijie Xu, Yufeng Chen, Xiaoqian Zhang, Feng Sun, ... Chao Luo Robust open intent classification in many-shot and few-shot scenarios Jingkai Wang, Xiangkun Wang, Jiafen Liu, Xiaocao Ouyang, ... Xin Yang Static-dynamic class-level perception consistency in video semantic segmentation Zhigang Cen, Ningyan Guo, Wenjing Xu, Zhiyong Feng, Danlan Huang Fast Heterogeneous Graph Neural Network Generation via Meta Contrastive Learning Jia Wu, Zixuan Xu, SiYao Qiao Strategies at a glance: A comparative analysis of training techniques for optimizing early-exit deep neural networks Haseena Rahmath P, Kuldeep Chaurasia, Abhay Bansal CSFformer: Redefining multi-channel time series analysis with cross-scale fusion Transformer Meng Wan, Huan Hao, Jue Wang, Qi Su, ... Liqiang Yao Variational autoencoder for distributional learning via quantile function estimation Seunghwan An, Sungchul Hong, Jong-June Jeon Online kernel selection for online multi-label classification Tingting Zhai, Wei Liu Type-agnostic and form-oriented deductive conclusion generation Xin Wu, Yuqi Bu, Yi Cai, Yifei Chen, Ho-Fung Leung SSCLMix: A self-supervised contrastive learning-based data mixing augmentation method Juntao Hou, Yingyue Zhou, Jiamin Qin, Juan Zhang, ... Junfei Guo Causality guided co-attention network for visual question answering Jiali Miao, Kui Yu, Baofu Fang, Le Wu, Richang Hong MSB-VQA: Overcoming multiple source biases for robust visual question answering Jingliang Gu, Xingjie Zhuang, Zhixin Li Uniform approximation with quadratic neural networks Ahmed Abdeljawad LS-PRISM: A layer-selective pruning method via low-rank approximation and sparsification for efficient large language model compression Renshuai Tao, Hairong Chen, Yuzhe Guo, Jiakai Wang, ... Yao Zhao Robust full-parameter control method: Constructing multiscroll HNN via memristor Zhiqiang Wan, Yi-Fei Pu, Minghong Qin, Qiang Lai SCFMUNet: A fusion architecture based on multi-scale state space model and channel attention for medical image segmentation Zhiyong Huang, Zhiyu Zhao, Zhi Yu, Mingyang Hou, ... Hans Gregersen Global polynomial synchronization of neural networks with bidirectional proportional delays via adaptive pinning control and its application in image encryption Liqun Zhou, Yongkang Zhang, Xinsong Yang, Jiapeng Han Nucleotide-level circRNA-RBP binding sites prediction based on hybrid encoding scheme and enhanced feature extraction Yajing Guo, Xiujuan Lei, Zhengfeng Wang, Ling Guo, ... Yi Pan Quasi-synchronization of Caputo-Hadamard fractional-order memristive neural networks with time-varying delays Haining Li, Hong-Li Li, Tingwen Huang, Xinzhi Liu, Jinde Cao Sampled-data control-based stabilization of fuzzy inertial quaternion-valued delayed neural networks with parameter uncertainties Ziye Zhang, Shuwen Lv, Runan Guo, Zhen Wang, Chong Lin Long-range diffusion for weakly camouflaged object segmentation Rui Wang, Caijuan Shi, Weixiang Gao, Changyu Duan, ... Yunchao Wei Hierarchical fine-grained multi-behavior recommendation with behavior-aware contrastive learning Kaiyao Zhu, Jinhuan Liu, Xuemeng Song, Jianhua Yin, ... Junwei Du State bounding for discrete-time switched genetic regulatory networks with time delay and exogenous disturbances Jiayuan Yan, Bin Hu, Zhi-Hong Guan, Ding-Xue Zhang A Physics-Informed Neural Network framework for solving PDEs on point clouds via surface reconstruction Junseung Ryu, Seungtae Park, Hyung Ju Hwang High-dimensional classification problems with Barron regular boundaries under margin conditions Jonathan Garc?a, Philipp Petersen A novel number-theoretic sampling method for neural network solutions of partial differential equations Yu Yang, Pingan He, Xiaoling Peng, Qiaolin He Neural dynamics and synaptic plasticity in simple networks drive L?vy flight foraging and obstacle avoidance behaviors for bio-inspired autonomous flight Vatsanai Jaiton, Poramate Manoonpong Study of fractional order epidemic compartmental model by using artificial deep neural networks Eiman, Kamal Shah, Muhammad Sarwar, Thabet Abdeljawad Interpreting reservoir computing through the equivalent visualization of its loss landscape Xinyu Han, Ziqi Yang, Yi Zhao EEG Emotion Copilot: Optimizing lightweight LLMs for emotional EEG interpretation with assisted medical record generation Hongyu Chen, Weiming Zeng, Chengcheng Chen, Luhui Cai, ... Nizhuan Wang Conformalized prediction of post-fault voltage trajectories using pre-trained and finetuned attention-driven neural operators Amirhossein Mollaali, Gabriel Zufferey, Gonzalo Constante-Flores, Christian Moya, ... Guang Lin Continual source-free active domain adaptation for nasopharyngeal carcinoma tumor segmentation across multiple hospitals Zhaocan Yang, Yan Li, Yang Liu Singular values-driven automated filter pruning Van Tien Pham, Yassine Zniyed, Thanh Phuong Nguyen VDCRL: vulnerability detection with supervised contrastive code representation learning Xinghang Lv, Jianming Fu, Yu Nie MGTR-MISS: More Ground Truth Retrieving based Multimodal Interaction and Semantic Supervision for video description Jiayu Zhang, Pengjie Tang, Yunlan Tan, Hanli Wang Hierarchical knowledge-guided reasoning for text-based person re-identification Ruigeng Zeng, Wentao Ma, Tongqing Zhou, Shan Zhao, ... Jie Liu Temporal structure-preserving transformer for industrial load forecasting Senzhen Wu, Zhijin Wang, Xiufeng Liu, Yuan Zhao, ... Yaohui Huang Enhancing intelligent transportation systems with a more efficient model for long-term traffic predictions based on an attention mechanism and a residual temporal convolutional network Selim Reza, Marta Campos Ferreira, J.J.M. Machado, Jo?o Manuel R.S. Tavares Exclusive style removal for cross domain novel class discovery Yicheng Wang, Feng Liu, Junmin Liu, Kai Sun Regional crowd flow estimation from aerial view Huibin Wei, Qi Li, Xindai Lin, Yuhao Lin, ... Wenxi Liu A lightweight dual-student mean teacher semi-supervised semantic segmentation method for skin lesions Guokai Zhang, Jindian Lu, Yongyong Chen, Yuanhaonan Deng, ... Lixia Xue Dual channel and dual feedback loop self-learning memristive neural network circuit and its application Qiuzhen Wan, Jiong Liu, Tieqiao Liu, Rou Zhou, Peng Qin Lossless steganographic network via model arithmetic operations Yao Fan, Fuqiang Di, Mingqing Zhang, Zichi Wang, Jia Liu MHDBN: Mamba-based hybrid dual-branch network for multi-focus image fusion Pan Wu, Jin Tang Are Vision-xLSTM-embedded U-Nets better at segmenting medical images? Pallabi Dutta, Soham Bose, Swalpa Kumar Roy, Sushmita Mitra HSFF-Net: Hierarchical spectral-feature fusion network for deepfake detection and localization Ruidong Han, Xiaofeng Wang, Ningning Bai, Jianpeng Hou, ... Jianghua Li Adaptively trigger memory network with temporal consistency for semi-supervised long video object segmentation Fan Zhang, Xiangxu Cao, Yuqian Zhao -------------- next part -------------- An HTML attachment was scrubbed... URL: From pmandal5 at asu.edu Mon Nov 24 14:38:06 2025 From: pmandal5 at asu.edu (Pratanu Mandal) Date: Mon, 24 Nov 2025 12:38:06 -0700 Subject: Connectionists: =?utf-8?q?=5BCFP=5D_=5BExtended_Deadline=5D_WSDM_?= =?utf-8?q?2026_Workshop_on_Benchmarking_Causal_Models_=28CausalBen?= =?utf-8?b?Y2jigJkyNik=?= Message-ID: =============== CALL FOR PAPERS =============== ------------------------------------------------------------------ ? Paper submission deadline has been extended to December 7, 2025 ------------------------------------------------------------------ WSDM 2026 Workshop on Benchmarking Causal Models (CausalBench?26) [Location] BOISE, Idaho, USA (in conjunction with the ACM International Conference on Web Search and Data Mining ? WSDM 2026) [Date] February 26, 2026 [Website] https://wsdm26.causalbench.org/ OVERVIEW ======== The WSDM Workshop on Benchmarking Causal Models (CausalBench) aims to promote scientific collaboration, reproducibility, and fairness in causal learning research by providing a dedicated venue for work on benchmarking data, algorithms, models, and metrics for causal learning. CausalBench addresses the growing need for unified, publicly available, and configurable benchmarks that support causal discovery, causal effect estimation, and more general causal inference and learning research problems (e.g., A/B testing, experimental design, mechanistic interpretability, causal reasoning and causal RL etc.) across diverse applications, such as web search, data mining, public health, and sustainability. Standardized evaluation has historically driven progress in machine learning, as seen with UCI ML and KDD repositories, by encouraging collaborative research and reproducible science. The causal learning community now faces similar challenges: lack of unified benchmark datasets, algorithms, and metrics for reproducible evaluation. CausalBench workshop aims to - help identify existing datasets and metrics for causal learning and integrate them into standardized evaluation protocols, - encourage coverage, calibration, and uncertainty reporting for causal estimates, - develop ontologies for benchmarking, improving transparency and collaboration, - address challenges of incomplete causal knowledge and integration of heterogeneous datasets, and - help define evaluation standards to scientifically quantify progress in causal learning. The workshop will bring together researchers and practitioners to discuss new algorithms, datasets, and evaluation methodologies that help establish trust in causal learning innovation. Our goal is to foster discussion and community practices that make evaluation more transparent and comparable across different causal tasks?e.g., clarifying task taxonomies, surfacing assumption-linked metrics, and sharing accessible benchmark resources and artifacts. By encouraging open exchange on datasets and metrics, the workshop aims to catalyze incremental, evidence-based improvements to causal evaluation. TOPICS OF INTEREST ================== CausalBench welcomes submissions in the following research and application areas: [Benchmarking and Evaluation] Software frameworks, datasets, standard workflows/pipelines, and metrics for evaluating causal learning algorithms. [Algorithmic Advances] Novel causal discovery and causal inference models/algorithms with reproducible benchmarking results. [Data and Systems] Open-source platforms for data exchange, (automatic) model evaluation, and reproducing results for any causality related research problems: e.g., causal inference, causal discovery, causal representation learning, and causal recommendation. [Trustworthy AI] Causality-inspired methods, datasets, or metrics for benchmarking any aspect of trustworthiness of various AI systems and methods, including interpretability, safety, robustness, bias, and fairness. [Applications] Real-world demonstrations of causal benchmarking in domains, such as healthcare, finance, sustainability, and social systems?with a particular emphasis on applications in web search and data mining. Additional thematic sessions (e.g., invited talks, panels) will be held on emerging challenges in causal benchmarking. SUBMISSION GUIDELINES ===================== [Submission Site] https://easychair.org/my/conference?conf=causalbench26 [Format] Submissions must be formatted according to the ACM SIG Proceedings Template double-column format, with a font size no smaller than 9pt. [Length] We invite submissions of extended abstracts (2-3 pages, excluding references) and research articles (4-6 pages, excluding references) that align with the workshop's themes. [File Type] PDF, maximum file size 10 MB. [Review Process] Single-blind review. [Accepted Papers] All accepted papers will be presented at the workshop and included in the official WSDM Companion Proceedings Volume. ARTIFACTS AND REPRODUCIBILITY ============================= Submissions are encouraged to emphasize reproducibility, benchmark availability, and evaluation methodology. Authors are encouraged to make public and include links to code, datasets, experimental setups, and other supporting materials. While not required, the authors are also encouraged to share the relevant artifacts (data, model, metric, and benchmark runs) on CausalBench?s repositories. IMPORTANT DATES =============== All deadlines are at 11:59 PM (Anywhere on Earth) unless otherwise noted. [Paper Submission Deadline (extended)] ? Original: November 13, 2025 ? Extended: December 7, 2025 [Author Notification (extended)] ? Original: December 18, 2025 ? Extended: January 5, 2026 [Camera-ready Deadline] TBD [Workshop Date] February 26, 2026 ORGANIZERS ========== [General Chairs] K. Sel?uk Candan, Arizona State University (Email: candan at asu.edu) Huan Liu, Arizona State University (Email: huanliu at asu.edu) [Program Chairs] Ruocheng Guo, Intuit AI Research (Email: ruocheng_guo at intuit.com) Paras Sheth, Amazon (Email: parshet at amazon.com) [Web Chair] Ahmet Kapki?, Arizona State University (Email: akapkic at asu.edu) [Publicity Chair] Pratanu Mandal, Arizona State University (Email: pmandal5 at asu.edu) DUPLICATE SUBMISSIONS AND NOVELTY REQUIREMENTS ============================================== All submissions will undergo a rigorous peer-review process to ensure quality and originality. Submissions must present original work not under review elsewhere. Concurrent submission to other venues is not permitted. Papers must cite prior work appropriately, including authors? own related publications. The submitted paper must substantially differ from earlier workshop papers by the same authors. INCLUSION AND DIVERSITY ======================= CausalBench embraces the values of diversity and inclusion in writing, participation, and representation. Authors should use inclusive language and examples that avoid stereotyping or marginalization of any group. CONFLICTS OF INTEREST ===================== Authors must declare any conflicts of interest with organizers or reviewers (e.g., recent collaborations, shared affiliations, advisor/advisee relationships). Submissions with incorrect conflict declarations are subject to rejection. ACM PUBLICATIONS POLICY ON RESEARCH INVOLVING HUMAN PARTICIPANTS AND SUBJECTS ============================================================================= As a published ACM author, you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects. POLICY ON AUTHORSHIP REQUIREMENTS and GenAI =========================================== We follow the ACM policy on authorship requirements. Specifically on the use of generative AI tools and technologies, the guidelines note that: "The use of generative AI tools and technologies to create content is permitted but must be fully disclosed in the Work. For example, the authors could include the following statement in the Acknowledgements section of the Work: ChatGPT was utilized to generate sections of this Work, including text, tables, graphs, code, data, citations, etc.). If you are uncertain about the need to disclose the use of a particular tool, err on the side of caution, and include a disclosure in the acknowledgements section of the Work." CONTACT INFORMATION =================== For questions or clarifications, please contact the organizers at wsdm26 at causalbench.org. ACKNOWLEDGEMENTS ================ We thank all the contributors and the community for their continuous support and feedback in making CausalBench a reliable and valuable resource for causal learning research. This workshop is funded by NSF Grant 2311716, "CausalBench: A Cyberinfrastructure for Causal-Learning Benchmarking for Efficacy, Reproducibility, and Scientific Collaboration", and NSF Grants #2230748, "PIRE: Building Decarbonization via AI-empowered District Heat Pump Systems", #2412115, "PIPP Phase II: Analysis and Prediction of Pandemic Expansion (APPEX)" and USACE #GR40695, "Designing nature to enhance resilience of built infrastructure in western US landscapes". -------------- next part -------------- An HTML attachment was scrubbed... URL: From bisant at umbc.edu Mon Nov 24 17:32:58 2025 From: bisant at umbc.edu (David B) Date: Mon, 24 Nov 2025 17:32:58 -0500 Subject: Connectionists: CFP: FLAIRS39, Neural Network Special Track, Marco Island, FL, May 17-20, 2026 Message-ID: *Deadlines* Abstract Submission: January 19, 2026 Paper Submission: January 26, 2026 Paper Acceptance Notification: March 9, 2026 Camera Ready Version: April 6, 2026 *Call for Papers* The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double- blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. *Topics of interest may include (but are not limited to):* Applications such as Pattern Recognition, Applications, Generative AI methods and applications, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cybersecurity, remote sensing, earth sciences, bioinformatics, and astronomy. Neural networks such as new developments in Deep Learning, Back Propagation, RBF, SVM, Ensemble Methods, Kernel Approaches; Hybrid approaches such as Neural Networks/Genetic Algorithms, Causal Nets trained with Backpropagation, Neural Network/Fuzzy Logic and Acceleration of neural network models via software or hardware. Other modeling algorithms such as hidden Markov models, decision trees, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches; graph modeling, pattern discovery, and anomaly detection; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; preprocessing and data reduction;and knowledge engineering or warehousing. *Submission Guidelines* Papers must follow the FLAIRS template guidelines ( https://www.flairs-39.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers else where during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. *Conference Proceedings* Papers will be refereed and all accepted papers will appear in the conference proceedings. *Track Co-chairs:* David Bisant, Central Security Svcs, bisant at umbc.edu Steven Gutstein, Booz Allen Hamilton, s.m.gutstein at gmail.com Lenin Mookiah, eBay, lenin.world at gmail.com *Program Committee Members:* Martin Atzmueller(University of Kassel, Germany) Lori Bogren (SomaLogic, USA) Ramesh Paudel (Sysco Corporation) Olac Fuentes (University of Texas at El Paso) Masoud Badiei Khuzani (eBay, USA) Tomasz Palczewski (SAP, USA) Chi Weng Cheong (PGIM, USA) Sergei Dolenko (M.V.Lomonosov Moscow State University, Russian Federation) Sheikh Rabiul Islam (University of Hartford, USA) Lawrence Holder (Washington State University, USA) Diane Cook (Washington State University, USA) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Roberto Santana (University of Basque Country, Spain) -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.bach at uni-bonn.de Tue Nov 25 03:21:19 2025 From: d.bach at uni-bonn.de (Dominik Bach) Date: Tue, 25 Nov 2025 09:21:19 +0100 Subject: Connectionists: =?utf-8?q?Save_the_date=3A_Naturalistic_Neuroscie?= =?utf-8?q?nce_=E2=80=93_from_perception_to_action_and_back_=2828-29_May_2?= =?utf-8?q?026=2C_University_of_Bonn=2C_Germany=29?= Message-ID: <9b86c904-552c-486e-8058-d20331af2ce4@uni-bonn.de> University of Bonn is hosting */Naturalistic Neuroscience ? from perception to action and back/* on 28-29 May 2026. This two-day symposium will spotlight substantive research, novel neurotechnology, and theoretical underpinnings in this field. In addition to a series of distinguished keynote talks, participants will have the opportunity to present their work through oral or poster presentations, and to visit local naturalistic neuroscience and virtual reality facilities. We expect registration to open in February 2026. Stay tuned and contactnn2026 at uni-bonn.de to receive further updates directly from the organisers. Dominik Bach, University of Bonn and University College London Sabine Krabbe, German Centre for Neurodegenerative Disease Floris de Lange, Radboud University Nijmegen and University of Bonn ----------------------- Professor Dominik R Bach Director | Centre for Artificial Intelligence and Neuroscience (caian) Transdisciplinary Research Area "Life and Health", University of Bonn Honorary Professor | UCL Queen Square Institute of Neurology, University College London Am Propsthof 49 53121 Bonn, Germany Tel.: +49 228/7369530 d.bach at uni-bonn.de https://www.caian.uni-bonn.de/en/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From claudio.piciarelli at uniud.it Tue Nov 25 04:33:04 2025 From: claudio.piciarelli at uniud.it (Claudio Piciarelli) Date: Tue, 25 Nov 2025 09:33:04 +0000 Subject: Connectionists: VisionDocs @ WACV 2026 - Computer Vision Systems for Document Analysis and Recognition 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 extended: Dec 7, 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 announce at ucy.ac.cy Tue Nov 25 08:36:30 2025 From: announce at ucy.ac.cy (Announce) Date: Tue, 25 Nov 2025 13:36:30 +0000 Subject: Connectionists: The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026): Last Call for Blue Sky Ideas Message-ID: *** Last Call for Blue Sky Ideas *** 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. The Blue Sky Ideas Special Track is intended to present and provoke visionary ideas, long- term challenges, new research opportunities, and debate. It serves as an incubator for innovative, risky, and provocative research directions, and aims to provide a forum for publishing and presenting these without being constrained by the result-oriented standards followed in the review process of the main track of the conference. Research visions and ideas can cross disciplines, envisioning new directions relevant for Agents and advancing Multi-Agent Systems research through interdisciplinary viewpoints. We encourage papers to reflect on the future of the research area and its community within the broader AI and computing landscape. We invite submissions that focus on novel, overlooked, or under-represented application areas to which agent research may contribute; potential paths for agent research to contribute to the state of the art in other AI and computing areas and the other way around; unexplored theoretical grounds for agent research. Overall, we aim at papers that help guide the agent community to achieve in the coming years a leading position within AI and computing research. Evaluation Criteria Reviewers will assess papers based on the following criteria: Relevance and Advancement (level of future-thinking) ? Are the ideas presented of interest to members of the Agents and MAS research communities? ? Do the ideas push forward the envelope of Agents/MAS application into the future? Novelty and Vision (level of ?Blue Sky?-ness) ? How much the ideas are visionary (vs. next step w.r.t. state of the art), novel, or out of the box. Background and Foundation (level of grounded-ness) ? Are the ideas motivated and grounded in a solid understanding of the existing state-of- the-art and older foundational research/theory? ? Do the ideas consider relatively new research ideas (e.g. published in the last 3 years)? Impact and Practicality (level of real-world applicability) ? How deep and wide is the envisioned impact of the ideas on the research agenda in the Agents and MAS communities? ? How deep and wide is the envisioned impact on the intended beneficiaries of the ideas presented, including practical considerations? Rigour and Clarity (level of strength of contribution) ? Are the ideas presented in a clear and rigorous way? ? How strong is the level of critical reflection applied in the exploration of these ideas? Submission Submissions are limited to 4 pages in length in the AAMAS 2026 format, with any additional pages containing only bibliographic references. The formatting instructions are the same as for the AAMAS 2026 main track. Accepted papers will appear in the conference proceedings and will be presented orally at the conference. The Blue Sky Ideas Special Track follows the same policies as the main track. Submissions must be original, reviewing is double-blind, and at least one author of each accepted paper will be required to register for the conference by the early registration deadline with the intention of presenting the paper at the conference. See the Call for Papers (Main Technical Track) and Submission Instructions for details (information on the conference website). Important Dates ? Abstract Submission: December 3, 2025 ? Paper Submission: December 8, 2025 ? Rebuttal Period: January 10-15, 2026 ? Author Notification: January 31, 2026 ? Camera-Ready Submission: February 19, 2026 ? Author Registration: March 31, 2026 All deadlines are at the end of the specified day, Anywhere on Earth (UTC-12). Contact AAMAS 2026 Blue Sky Ideas Track Co-Chairs ? Ann Now?, Vrije Universiteit Brussel, Belgium ann.nowe at ai.vub.ac.be ? Michael Winikoff, Victoria University of Wellington, New Zealand michael.winikoff at vuw.ac.nz 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 efipatm at gmail.com Tue Nov 25 07:48:24 2025 From: efipatm at gmail.com (Efi P) Date: Tue, 25 Nov 2025 14:48:24 +0200 Subject: Connectionists: All you want to know about AI: Updated edition of the book "Artificial Intelligence Science and Society Part A" (Amazon/Kindle) treating ChatGPT, LLMs and Artificial General Intelligence (AGI) Message-ID: Dear AI enthusiast and/or AI colleague, this book addresses the general public that wants to be informed about and form her/his own opinion on AI. It provides a simplified yet scientifically accurate description of all AI aspects: technology (Part A), relation to human intelligence (Part B), social aspects (Part C) and AI impact on Environment (Part D). No special knowledge is needed to read it. A updated edition of ?Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology? (paperback and e-book versions only) is now available in Amazon/Kindle. The first edition (October 2022) of this 4-volume book was quite prophetic on various AI topics (e.g., on the development of Deep Arts, or the failure of Metaverse), Its updated edition of Part A presents Large Language Models (LLMs) and Artificial General Intelligence (AGI) to clarify issues that sprang out of ChatGPT success, primarily on AI technophobia and on the long-term AI prospects. AI Science and Engineering is un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering in a new scientific discipline. It has huge impact on both our society and environment. The new book ?Artificial Intelligence Science and Society? consists of four volumes (parts) debating all technical and social grand challenges of AI Science and Engineering in an understandable and scientifically accurate manner: 1. ?Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology? https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860 2. ?Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans? https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860 3. ?Artificial Intelligence Science and Society Part C: AI Science and Society? https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860 4. ?Artificial Intelligence Science and Society Part D: AI Science and the Environment? https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860 They are self-sufficient and require no mathematical/scientific background. The four book volumes debate and try to forecast the future of AI Science and Engineering, as well as the upcoming Mind and Social Science and Engineering. They are published in Amazon/Kindle. Part A Table of contents (297 pages): Data, Signals, Systems, Mathematics, Data Acquisition, Processing and Analysis, Data Storage and Search, Computer Vision, Data Visualization, Computer Graphics and Animation, Virtual and Augmented Reality, Audio, Speech, and Text Analysis, Machine Learning. Pattern Recognition, Deep Learning, Information, Metadata, Semantics, Concepts, Symbolic Artificial Intelligence, Knowledge, Anthropocentric Computing, Robotics, Autonomy, Networks and the Internet, The World Wide Web, Social Media, Network analytics, Swarm Intelligence, Software, Computing, Communications, Security, Blockchain, Large Language Models and Artificial General Intelligence. Part B Table of contents (276 pages): Nervous System, Brain, Brain imaging, Brain connectome, Neural and Brain Models, Sensing, Human Senses, Perception, Interoception, Physical Intelligen, Action and Motion, Mind, Cognition, Memory, Intelligence, Affect, Affective Computing, Language and Speech, Written Language and Communication, Consciousness and Self-awareness, Self-aware Machines, Computational Brain Modeling Tools, Brain-Inspired Computing, Medicine, Medical Genomics, Medical Data, Medical Disinformation, Pharmaceutics and Drug Discovery, Anti-vaccination Movement, Ambient Assisted Living, Minors, Sex, Pornography, Social Flexibility and Personal Relations. Part C Table of contents (335 pages): Identity, Intellectual Property,Privacy protection, Fake data, News and Agora, Media Production and Streaming, Music and Dance, Digital Humanities, Ex machina Arts, Computational Aesthetics, Research, Research Dissemination, Morphosis, Educational Methods, Education and Society, Truth, Justice, Digital Crime, Digital Markets,Online Marketing, Finance and Economics, AI and IT Economics, Cryptocurrencies, Non-Fungible Tokens, Digital Governance, Industry, Labor, Meta-agoras and Meta-societies, Politics and Democracy, Computational Politics, Societal and Political Networks, Social Activism, Irrationalism and Anti-elitism, Virtual Communities and Disinformation, Political Activism, Computational History, Computational Social Science, Ethics and Philosophy, Religion, Religious Practice and AI, Religious Art, War and Peace, Advanced Warfare, Revolution, Geopolitics, Trustworthy AI, Information and Knowledge society. Part D Table of contents (177 pages): Space and Time, Life, Bioinformatics, Systems Biology, Animal and Plant Intelligence, Bio-inspired Machines, Epidemiology, Microcosm, Ecology, Agriculture, Sustainable and Precision Agriculture, Organic Farming, Earth Sensing, Meteorology, Climate Change, Archaeology and Restoration, Smart Cities, Land Transportation, Shipping, Aviation, Renewable Energy, Green Information Technologies, Sustainable Earth Resources, Geology and Seismology, Space and Astronomy, Law of Complexity. *About the author*: Dr. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) is a Principal Researcher at AUTH and CERTH/ITI, Thessaloniki, Greece. He was Director of the Artificial Intelligence and Information Analysis (AIIA ) lab at the School of Informatics, AUTH. He served as a Visiting Professor at several Universities worldwide. As a well-known AI futurist, in the past 3 years, he has published numerous articles and delivered many lectures and interviews in the international media on the future of AI. Quite a few of them were proven to be prophetic. His current interests are in the areas of artificial intelligence, machine learning, computer vision, autonomous systems, intelligent digital media, and human-centred computing. He has published over 920 papers, contributed to 45 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 13 international journals and General or Technical Chair of 5 international conferences. He delivered 98 keynote/invited speeches worldwide. He co-organized 33 conferences and participated in technical committees of 291 conferences. He participated in 75+ R&D projects, primarily funded by the European Union and is/was principal investigator in 47 such projects. He is the coordinator of the Horizon Europe R&D project TEMA https://tema-project.eu/. He is chair of the International AI Doctoral Academy (AIDA) https://www.i-aida.org/. He was chair and initiator of the IEEE Autonomous Systems Initiative https://ieeeasi.signalprocessingsociety.org/. He has 40,000+ citations to his work and h-index 93+. According to https://research.com/ he is ranked first in Greece and 319 worldwide in the field of Computer Science (2022). This book is a result of a two-year effort by Prof. Ioannis. Pitas and was influenced by his being principal investigator of 75+ R&D projects on Computer Vision, Machine Learning, Digital Media and chairing the International AI Doctoral Academy (AIDA). This message is sent only once. I apologize if you receive it through multiple communication channels. Enjoy! Prof. Ioannis. Pitas IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow, Chair of the International AI Doctoral Academy (AIDA ), Director of the Artificial Intelligence and Information Analysis (AIIA ) Lab, Aristotle University of Thessaloniki, Greece pitas at csd.auth.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From mathislamarre at gmail.com Tue Nov 25 08:46:57 2025 From: mathislamarre at gmail.com (Mathis Lamarre) Date: Tue, 25 Nov 2025 14:46:57 +0100 Subject: Connectionists: Job Opening: Permanent PostDoc in Computational Cognitive Neuroscience @ TU Berlin Message-ID: We are looking for a highly motivated PostDoc for: - the development of a computer-based modelling approach for brain signals to understand sensory and cognitive processes (language, visual perception, decision-making, attention, memory). - modelling fMRI-data using deep learning-based machine learning techniques (in particular "large language models") - supervising PhD candidates and teaching Please find further details about the positions and how to apply here: https://www.jobs.tu-berlin.de/en/job-postings/199677. Employer: TU Berlin Salary grade: TV-L 13 Berliner Hochschulen Starting date: as soon as possible. The application deadline is November 28th. For informal inquiries please contact Prof. Dr. Fatma Deniz (deniz at tu-berlin.de) directly. -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Tue Nov 25 10:51:20 2025 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 25 Nov 2025 07:51:20 -0800 Subject: Connectionists: NEURAL COMPUTATION - November 1, 2025 In-Reply-To: Message-ID: NEURAL COMPUTATION - Volume 37, Number 11 - November 1, 2025 http://www.mitpressjournals.org/toc/neco/37/11 http://cognet.mit.edu/content/neural-computation Articles A Chimera Model for Motion Anticipation in the Retina and the Primary Visual Cortex J?r?me Emonet, Selma Souihel, Matteo Di Volo, Alain Destexhe, Fr?d?ric Chavane, and Bruno Cessac Encoding of Numerosity With Robustness to Object and Scene Identity in Biologically Inspired Object Recognition Networks Thomas Chapalain, Bertrand Thirion, and Evelyn Eger Modeling Higher-Order Interactions in Sparse and Heavy-Tailed Neural Population Activity Ulises Rodr?guez Dom?nguez, Hideaki Shimazaki Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics Han Bao ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From anujanegi1 at gmail.com Tue Nov 25 15:40:22 2025 From: anujanegi1 at gmail.com (Anuja Negi) Date: Tue, 25 Nov 2025 12:40:22 -0800 Subject: Connectionists: Permanent PostDoc position @TU Berlin on Computational Cognitive Neuroscience of Language (E13, TV-L) Message-ID: *Job Opening: Permanent PostDoc position @TU Berlin on Computational Cognitive Neuroscience of Language (E13, TV-L)* We?re looking for a talented and motivated PostDoc to join us in advancing neurocognitive research at the intersection of neuroscience and AI at the Denizens lab (https://denizenslab.github.io/) at TU Berlin. You will conduct independent research on computational modeling of brain signals to study sensory and cognitive processes such as language, vision, decision-making, and memory. You?ll work with fMRI and EEG data using deep learning (including LLMs), mentor PhD students, and contribute to teaching in neuroscience and computer science. Please find further details and how to apply here: https://www.jobs.tu-berlin.de/stellenausschreibungen/199677 The application deadline is Dec 23rd, 2025. For informal inquiries, please contact Fatma Deniz (deniz at tu-berlin.de) directly. Best, Anuja -- Anuja Negi http://anujanegi.me/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Wed Nov 26 00:20:34 2025 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 25 Nov 2025 21:20:34 -0800 Subject: Connectionists: REMINDER: World wide VVTNS series (6th season): Wednesday, 26, 2025, at 11:00 am ET - Alfonso Renart | Champalimaud Centre for the Unknown, Lisbon 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 Alfonso Renart Champalimaud Centre for the Unknown, Lisbon on the topic of Flexible analog computation in low-rank balanced spiking networks The lecture will be held on zoom on November 26, 2025, at *11:00 am ET * > https://u-paris.zoom.us/j/87296214746?pwd=V3oyZ1JaQUxWVWp1TS9LS0ZiM0xiQT09 > > Id: 872 9621 4746 > > Passwd: 688274 > *Abstract: *Recurrent networks with balanced excitation-inhibition explain a wide range of neurophysiological observations, but can only implement a limited set of transformations on their input. On the other hand networks of firing-rate units with low-rank connectivity have universal computational capabilities, but do not work with spikes or generate noise self-consistently. Although empirical approaches to merge these two computational frameworks have been constructed, there is no established theory describing their unification. Here we develop such a theory. We study analytically and numerically networks with connectivity comprising random ?strong?, and low-rank ?weak? components. When the low-rank connectivity is slow, a well-defined notion of instantaneous firing rate emerges which implies universal computation as previously shown. However, the fact that such time-varying rates are the result of E-I balance has important implications. We show that internally or externally generated fluctuations along particular latent modes tend to break the E-I balance. Its maintenance is obtained through the emergence of a spontaneous coupling between the mean and the variance of the membrane potential and the norm of the latent state driving these modes. This leads to several predictions, the most counterintuitive of which is that coherent global fluctuations in subthreshold membrane potential (Vm) should coexist with desynchronized activity at constant firing rates when the dynamics of these modes is excited. To test our theory, we show that the coupling between the average Vm and the latent state adds new non-linear dimensions to the low-dimensional manifold of the network, which lead to a frequency doubling when the input to the network is periodic, a prediction that is borne out in population recordings from mouse V1. Our results unify two prevalent frameworks for cortical computation and clarify the relationship between computation, dynamics and geometry in circuits of spiking neurons. *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 Wed Nov 26 03:52:51 2025 From: announce at ucy.ac.cy (Announce) Date: Wed, 26 Nov 2025 08:52:51 +0000 Subject: Connectionists: 39th IEEE International Symposium on Computer-Based Medical Systems (CBMS): Fourth Call for Contributions Message-ID: <82X3KZFQ-E5ON-MV8P-185C-4C8DJXNKCVE6@ucy.ac.cy> *** Fourth Call for Contributions *** 39th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2026) June 3-5 2026, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://2026.cbms-conference.org Attracting a worldwide audience, CBMS is the premier conference for computer-based medical systems, and one of the main conferences in the fields of medical informatics and biomedical informatics. CBMS allows the exchange of ideas and technologies between academic and industrial scientists. The scientific program of IEEE CBMS 2026 will consist of regular and special track sessions with technical contributions reviewed and selected by an international program committee, as well as, keynote talks and tutorials given by leading experts in their fields. The CBMS 2026 edition also aims to host high-quality papers about industry and real case applications as well as allow researchers leading international projects to show to the scientific community the main aims, goals, and results of their projects. We solicit submissions on previously unpublished research work. CALL FOR PAPERS Example areas include but are not limited to: ? Active and Healthy Ageing System ? Analytics and solutions in Public Health ? Artificial intelligence in healthcare ? Big Data Analytics in Healthcare ? Bioinformatics ? Biomarker Discovery and Drug Design ? Biomedical Signal and Image Processing and Machine Vision ? Cognitive Computing in Healthcare ? Computer Supported Cooperative Work in Healthcare (CSCW) ? Databases and blockchain in Medicine or Healthcare ? Data Analysis and Knowledge Discovery in Medicine or Healthcare ? Decision Support and Recommendation Systems in Medicine or Healthcare ? Digital Twins / Personalized AI Models ? e-Health ? Ethics in the application of ICT to biomedicine ? Explainable AI for Decision Support ? Generative AI and Foundational Models for Biomedicine ? Human-Computer Interaction (HCI) in Healthcare ? Knowledge Representation in Medicine or Healthcare ? m-Health ? Medical education using ICT ? Medical Robotics, Intelligent Medical Devices, and Smart Technologies ? Metaverse, Augmented and Intelligent Reality ? Multimodality Data Analysis ? Network and Telemedicine Systems ? Pervasive Computing for Wearables ? Privacy and Security in Healthcare ? Radiomics and Radiogenomics ? Serious Games for Healthcare ? Software Systems in Medicine ? Technology in Clinical and Healthcare Services Research ? Web-Based Delivery of Medical Information Special Tracks CBMS 2026 will also feature a number of special tracks: ? Green-Aware Artificial Intelligence for Network and Text Mining in Computational Biology and Medicine https://sites.google.com/unicz.it/greenai-nettext/ Multimodal Artificial Intelligence in Healthcare https://sites.google.com/view/maih2026/home GEAI4ND ? Generalizable & Explainable AI for the Care Continuum of Neurodegenerative Disease http://geai4nd-cbms2026.conf.uoi.gr/ Interoperability and Federated Analytics in Biomedical Data Using OMOP CDM https://bioinformatics-ua.github.io/ieee-cbms-st-IFABD/ Network Medicine https://medal.ctb.upm.es/CBMS26_ST_NM.html Image Processing and Machine Vision for Intelligent Healthcare https://sites.google.com/view/2026-cbms-impvih Artificial Intelligence for Inclusion, Accessibility and Well-Being of Vulnerable Populations https://www.uco.es/kdis/cbms-2026/ Synthetic Healthcare Data Generation and Clinical Decision Support https://is-innovation.eu/CBMS2026/search-workshop.htm Computational Intelligence in Medical Imaging (CIMI) https://sites.google.com/view/cbms/cbms-cimi Management and Quality of Data Lifecycle in Health and Medicine https://raise-suite.eu/management-and-quality-of-data-lifecycle-in-health-and-medicine/ Prospective authors are expected to submit their contributions to the general track or one of the special tracks if relevant. Please see the submission guidelines for further details. Submission Guidelines Papers must be submitted electronically using the EasyChair conference management system (see link below). All submissions will be peer-reviewed at least by two Program Committee members. All accepted papers (Regular, Short, and Posters) will be included in the conference proceedings and will be published by IEEE Xplore. Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of the authors. Type of Submissions Each contribution must be prepared following the IEEE two-column format, whose template is available at https://www.ieee.org/conferences/publishing/templates . The authors may choose LaTeX or Microsoft Word templates. CBMS 2026 accepts three types of submissions: ? Regular papers: The length of the contribution is limited to 6 pages, but it is possible to extend the paper length up to 8 pages by paying for each extra page. Check fees for more information. ? Short papers: The length of the contribution is limited to 4 pages and no less than 3 pages, not being possible to extend the paper length. The duration of the oral presentation of short posters will be less than regular ones. ? Posters: The length of the contribution is limited to 2 pages. Poster papers will be included in the proceedings but won?t include oral presentations during the conference. The authors of a poster also need to prepare a real poster to be shown during the conference. For presentation purposes at the conference, the authors must prepare the poster in portrait format. The accepted dimensions are 60 (width) x 80 (length). CALL FOR SHOWCASE / RESEARCH PROJECTS CBMS 2026 will have a special showcase/research projects track session, where we invite (a) scientific papers, (b) demonstrations/posters and (c) research-projects descriptions. Scientific papers: We invite papers (not exceeding 6 pages in length), describing innovative computer-based medical devices or software applications, including practical experiences with such innovations. The papers should be scholarly articles presenting scientific methods, measurements, and experiments. Marketing and sales materials will not be accepted. These papers will be evaluated based on practicality, innovation, scientific rigor, value of the device or application to users, and novelty. They will be published in the proceedings of the conference along with the other papers under this track. Examples of such papers could include but are not limited to: ? Computer-based medical devices that have technical/scientific novelty ? Computer-based medical applications intended for or recently introduced in the field ? Novel uses of traditional equipment in practice ? Experience papers based on use and data from the field ? Insightful measurement-based analysis of computer-based medical systems from the field ? Novel analysis providing new insights from data collected from the field ? New and practical data analytics useful in practice ? Real deployments of AI solutions in medicine Demonstrations: A demonstration is more appropriate if the value can be better expressed with a demonstration rather than in a full-length paper. The topics for the demonstration papers are the same as the scientific for this track. Please submit a proposal of your demonstration with a limit of two pages. Research projects/initiatives: CBMS aims in this edition to receive submissions about research or innovation projects funded by, mainly, competitive calls to present their project. We foresee to receive submissions which include details about the project goals, consortium and results (expected and any tentative result obtained so far). Only projects funded by competitive calls or with strong potential interest for the community will be considered. International projects organized in a consortium of several countries will have preference. Submissions in this context should be a one/two-pages document with at least the following information: ? Project/initiative title ? Description ? Participant entities ? Project goals ? Funding agency (when applies) or agencies ? Results obtained so far (publications, patents, ...) The contribution must be prepared following the regular paper. The length of the contribution must be between 4 and 6 pages. Submission Guidelines Papers must be submitted electronically using the EasyChair conference management system (see link below). All submissions will be peer-reviewed at least by two Program Committee members. All accepted contributions will be included in the conference proceedings and will be published by IEEE Xplore. Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of the authors. CALL FOR DOCTORAL CONSORTIUM The Doctoral Consortium for CBMS 2026 will provide an opportunity for PhD students to present their research plans or their preliminary work in an informal and supportive atmosphere. The PhD students will be able to discuss the problems that their PhDs are addressing, any preliminary results, and their future plans. The DC will offer them an opportunity to discuss any problems that they have come up against, and gain valuable advice and constructive feedback from experienced researchers in the field.The Doctoral Consortium will involve presentations by participating PhD students (selected by the Doctoral Consortium chairs) as well as a number of invited talks / tutorials on different related topics in the field. Submissions Doctoral Consortium submissions should focus specifically on a PhD thesis or subsection of a thesis. To apply for participation at CBMS 2026 Doctoral Consortium, please submit a research plan on a topic related to the areas covered in the general call for papers for the conference. Each submission should be in the same format as the main conference papers except it should consist of approximately 3-5 pages describing your research work. In particular: ? Title and author ? The research problem that your PhD addresses ? Your planned approach and methods for solving the problem ? How your approach compares to other known approaches ? Any preliminary results or expected results ? Future plans and directions with specific questions Papers must be submitted electronically using the EasyChair conference management system (see link below). Doctoral Consortium papers/contributions will be included in the proceedings in a specific ?Doctoral Consortium? section. SUBMISSION LINK FOR ALL TYPES OF CONTRIBUTIONS https://easychair.org/conferences/?conf=ieeecbms2026 Please choose the track that best fits for your submitted paper. OTHER INFORMATION For more information, please contact ieeecbms2026 AT easychair.org . IMPORTANT DATES (all types of contributions) ? Submission Deadline: February 20, 2026 (AoE) ? Notification of Acceptance: April 10, 2026 ? Camera-Ready Due: April 24, 2026 (AoE) ORGANIZATION CBMS SC Chair ? Rosa Sicilia, University Campus Bio-Medico di Roma, Italy General Chairs ? Mario Cannataro, University "Magna Graecia" of Catanzaro, Italy ? Constantinos S. Pattichis, University of Cyprus, Cyprus Program Chairs ? Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece ? Efthyvoulos Kyriacou, Cyprus University of Technology, Cyprus ? Andreas S. Panayides, CYENS Centre of Excellence, Cyprus Publication Chairs ? Sameer K. Antani, National Library of Medicine & National Institutes Of Health, USA ? Bridget Kana, Karlstad University, Sweden Special Tracks Chairs ? Pietro Cinaglia, University "Magna Graecia" of Catanzaro, Italy ? Christos Loizou, Cyprus University of Technology, Cyprus Showcase / Research Projects Chair ? Pietro Hiram Guzzi, University "Magna Graecia" of Catanzaro, Italy Doctoral Consortium Chair ? Marios Pattichis, University of New Mexico, USA Sponsorship Chair ? KC Santosh, University of South Dakota, USA Local Organizing and Finance Chair ? George A. Papadopoulos, University of Cyprus, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandro.gifford at gmail.com Wed Nov 26 04:06:53 2025 From: alessandro.gifford at gmail.com (Alessandro Gifford) Date: Wed, 26 Nov 2025 10:06:53 +0100 Subject: Connectionists: The Brain Encoding Response Generator (BERG) - Survey Message-ID: Dear colleagues, We would be grateful if you could take a few minutes to share your feedback on the Brain Encoding Response Generator (BERG; https://github.com/gifale95/BERG), a new resource consisting of pre-trained encoding models of the brain and an accompanying Python package, so to easily generate neural responses to stimuli for in silico experimentation. Your input will contribute to improving BERG?s usefulness and reliability! Link to survey: https://forms.gle/pybrqcaqdso2LJK88 We would also appreciate it if you could share the survey by forwarding this message to your colleagues, and/or by sharing the corresponding Bluesky/X posts. Blusesky post: https://bsky.app/profile/alessandrogifford.bsky.social/post/3m6f5nm5wb22l X post: https://x.com/AlgonautsProj/status/1992980825160483019?s=20 We thank you and look forward to your input! The BERG Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From mathias.verbeke at kuleuven.be Wed Nov 26 04:57:03 2025 From: mathias.verbeke at kuleuven.be (Mathias Verbeke) Date: Wed, 26 Nov 2025 09:57:03 +0000 Subject: Connectionists: Open faculty position at KU Leuven, Belgium - Professor in Intelligent Software Message-ID: Dear colleagues, KU Leuven has an open professorship vacancy in the area of Intelligent Software, i.e., advanced software that combines machine learning and knowledge-based inference. We are looking for internationally oriented candidates with both educational competence and a solid research record in computer science that have extensive expertise in the domain of the vacancy. The successful applicant will be appointed in the Faculty of Engineering Technology, which offers academic, implementation-oriented engineering programs at six campuses across Flanders. The main teaching duties will be situated at Campus De Nayer, Sint-Katelijne-Waver. This position is an appointment in the Department of Computer Science. Application deadline: December 23, 2025. More information is available at: https://www.kuleuven.be/personeel/jobsite/jobs/60308873?lang=en Best regards, Mathias Prof. dr. Mathias Verbeke KU Leuven | Bruges Campus Faculty of Engineering Technology Dept. Computer Science DTAI | Mechatronics Group (M-Group) -------------- next part -------------- An HTML attachment was scrubbed... URL: From bart at ai.vub.ac.be Wed Nov 26 09:49:12 2025 From: bart at ai.vub.ac.be (Bart de Boer) Date: Wed, 26 Nov 2025 15:49:12 +0100 Subject: Connectionists: Deadline extension: AI in language evolution workshop call for contributions Message-ID: The deadline for contributions to the workshop on AI in language evolution will be extended to December 7. This workshop, on artificial intelligence methods, will be organized in conjunction with the Evolang 2026 conference in Plovdiv, held from April 7-10, 2026. We invite two-page abstracts in the Evolang format about recent and ongoing work on language evolution that employs AI techniques in any form - be it for agent-based modeling, data analysis, computational linguistics, modeling of linguistic behavior with LLMs, or any other application. The abstracts should pay special attention to the AI-methods used and their pros and cons in evolution of language research. The idea of the workshop is to bring together diverse approaches and to discuss possibilities and pitfalls. The deadline for submissions is now December 7, 2025. Precise details about the workshop and how to submit a manuscript can be found at: https://ai.vub.ac.be/~bart/AI_in_EvoLang/ From dhansel0 at gmail.com Wed Nov 26 15:11:13 2025 From: dhansel0 at gmail.com (David Hansel) Date: Wed, 26 Nov 2025 12:11:13 -0800 Subject: Connectionists: Fwd: [seminar.wwtns] New recording on the VVTNS YouTube channel: Flexible analog computation in low-rank balanced spiking networks by Alfonso Renart 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 *Flexible analog computation in low-rank balanced spiking networks* Lecture delivered on November 26, 2025 by Alfonso Renart Champalimaud Centre for the Unknown, Lisbon *Abstract:* Recurrent networks with balanced excitation-inhibition explain a wide range of neurophysiological observations, but can only implement a limited set of transformations on their input. On the other hand networks of firing-rate units with low-rank connectivity have universal computational capabilities, but do not work with spikes or generate noise self-consistently. Although empirical approaches to merge these two computational frameworks have been constructed, there is no established theory describing their unification. Here we develop such a theory. We study analytically and numerically networks with connectivity comprising random ?strong?, and low-rank ?weak? components. When the low-rank connectivity is slow, a well-defined notion of instantaneous firing rate emerges which implies universal computation as previously shown. However, the fact that such time-varying rates are the result of E-I balance has important implications. We show that internally or externally generated fluctuations along particular latent modes tend to break the E-I balance. Its maintenance is obtained through the emergence of a spontaneous coupling between the mean and the variance of the membrane potential and the norm of the latent state driving these modes. This leads to several predictions, the most counterintuitive of which is that coherent global fluctuations in subthreshold membrane potential (Vm) should coexist with desynchronized activity at constant firing rates when the dynamics of these modes is excited. To test our theory, we show that the coupling between the average Vm and the latent state adds new non-linear dimensions to the low-dimensional manifold of the network, which lead to a frequency doubling when the input to the network is periodic, a prediction that is borne out in population recordings from mouse V1. Our results unify two prevalent frameworks for cortical computation and clarify the relationship between computation, dynamics and geometry in circuits of spiking neurons. *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 xavier.hinaut at inria.fr Thu Nov 27 06:02:04 2025 From: xavier.hinaut at inria.fr (Xavier Hinaut) Date: Thu, 27 Nov 2025 12:02:04 +0100 Subject: Connectionists: MSc. Internship in AI LLM: "AI Agents to Accelerate Scientific Research" Message-ID: <8A7B50CE-B86F-424C-8648-B3A97EA4665B@inria.fr> Hello, We propose a MSc. Internship in AI LLM: "AI Agents to Accelerate Scientific Research" From February/March at Inria and the Bordeaux Neurocampus. Objective: Open-source, efficient, secure, well-documented tools with monitoring and error management. This internship aims to design intelligent automations using n8n/Zapier and LLMs (Large Language Models) running on our local server. Using n8n/Zapier and local LLMs (Qwen3, Llama, Mistral, etc.) via OpenWebUI and LMStudio, the intern will develop workflows for: - Extracting data from PDFs - Generating literature reviews - Automating scientific monitoring - Producing tables/figures from data Required profile: Python skills, creative mindset, passion for systems engineering and AI. ? Apply and find more details in the subject PDF available here: https://github.com/neuronalX/internships/blob/main/2025-2026_MSc_YBO-XH_EN_workflow-AI-agent-LLM_v3.pdf Co-supervised by @Yannis Bendi-Ouis (PhD student) and @Xavier Hinaut (researcher) in the Mnemosyne team @Inria and @Bordeaux Neurocampus, within the framework of ANR DeepPool and Inria BrainGPT Exploratory Action projects. #AI #Research #n8n #Zapier #LLMs #OpenSource #InriaInternship #DataScience Best regards, Xavier Hinaut Inria Research Scientist ? Check the newspaper article on our Hackathon on AI, Robots and CogSci: https://www.sudouest.fr/gironde/bordeaux/c-est-un-marathon-de-la-bidouille-a-bordeaux-quand-l-ia-rencontre-les-arts-et-la-robotique-26381356.php More info : www.hack1robo.fr https://www.linkedin.com/company/hack1robo ? www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en ? Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy -------------- next part -------------- An HTML attachment was scrubbed... URL: From carsten.mehring at biologie.uni-freiburg.de Thu Nov 27 06:37:41 2025 From: carsten.mehring at biologie.uni-freiburg.de (Carsten Mehring) Date: Thu, 27 Nov 2025 12:37:41 +0100 Subject: Connectionists: Position in Neurotechnology/Computational NS, University of Freiburg Message-ID: <672831AB-0B94-43F9-8DD8-3DE7C072363C@biologie.uni-freiburg.de> Research Associate Position in Neurotechnology and Computational Neuroscience Neurobiology and Neurotechnology Group, Bernstein Centre & Faculty of Biology, University of Freiburg, Germany The Neurobiology and Neurotechnology group investigates the neural and cognitive mechanisms underlying motor control, learning, and brain?machine interfaces. We combine human neurophysiology, behavioural experiments, and computational modeling to uncover how the brain generates complex behaviors and to develop adaptive neurotechnologies. We are seeking an enthusiastic scientist whose work aligns with one or more of the lab?s research themes. The position is initially for three years, with the possibility of extending for an additional three years. Further details and application instructions are available in the official job posting: https://uni-freiburg.de/en/job/00004627/ Application deadline: 31 January 2026 For additional information, please contact Carsten Mehring at carsten.mehring at biologie.uni-freiburg.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From hari20002010 at gmail.com Thu Nov 27 11:28:24 2025 From: hari20002010 at gmail.com (Hariharan Arunachalam) Date: Thu, 27 Nov 2025 17:28:24 +0100 Subject: Connectionists: Call for Papers - TRAIL Conference April 2026 - Catania, Italy Message-ID: Dear Colleagues, You are invited to contribute to the 1st Transparent and Interpretable Robots (TRAIL) Conference, taking place April 16 - April 17 2026 in Catania, Italy Conference website : https://sites.google.com/view/trail-conference About the conference : This conference is ideal for early?career researchers and students, offering a friendly environment to present short contributions including work-in-progress, novel concepts, and early results. It?s a great opportunity to receive constructive feedback and build international collaborations. There are no registration fees, since this event is proudly supported by the TRAIL Marie Sk?odowska?Curie European Union project ( https://www.inf.uni-hamburg.de/research/projects/trail.html), promoting transparency and interpretability in human?robot interaction. Topics include (but not limited to): - Causal and Counterfactual Reasoning in AI (including but not limited to Neural Networks) - Cognitive Modeling for Interpretable and Human-Aligned AI - Evaluation for Explainability, Trust, Transparency, and Faithfulness - Explainable Reinforcement Learning (RL) - Failure Recognition, Assessment, and Recovery in Robotic Scenarios - Foundation models for Interpretability and Transparency - Human and Context Awareness in Robotics - Interactive Visualization and Explanation Interfaces - Interpretable and Transparent Robot Behavior - Knowledge-Based Robotic Design - Multimodal and Grounded Explanations (Vision, Language, and Sensor Data) - Multimodality and Language Grounding in Vision, Sound, Robotics, and Beyond - Navigation, Planning, and Control in Robotic Systems - Post-hoc Explanation Techniques - Robotic Decision-Making - Security and Ethics AI in Explainable Systems - Trustworthiness, Faithfulness, and Robustness in AI and Robotics Dates : Deadline for Submission : 16th January, 2026 Paper Acceptance Notification : 13th February, 2026 Camera Ready Deadline : 14th March, 2026 Venue : The Conference will be collocated with SWEET Spring School at : Museo della Rappresentazione Via Etnea, 742, 95128 Catania CT, Italy Submission Guidelines : Authors are invited to submit original contributions (2-4 Pages excluding appendix and references) following the format provided at the website : https://sites.google.com/view/trail-conference/call-for-papers We look forward to your contributions and seeing you at Catania ! Best Regards, TRAIL Conference Organisers -------------- next part -------------- An HTML attachment was scrubbed... URL: From diego.perez at qmul.ac.uk Thu Nov 27 12:00:55 2025 From: diego.perez at qmul.ac.uk (Diego Perez Liebana) Date: Thu, 27 Nov 2025 17:00:55 +0000 Subject: Connectionists: IEEE CoG 2026 - Call for Special Sessions Message-ID: IEEE CoG 2026 - Call for Special Sessions 2026 IEEE Conference on Games (CoG), 1st - 4th September 2026 Universidad Complutense de Madrid, Spain https://cog2026.fdi.ucm.es/ The annual IEEE Conference on Games (IEEE CoG) aims to be a leading venue for researchers and practitioners to exchange ideas and novel approaches to bring innovation in and through games. Games are a great domain to study and develop novel ideas in design, artificial intelligence, human-computer interaction, psychology, education, sociology, and creativity, as well as their applications in real-world problems. IEEE CoG 2026 will take place at Universidad Complutense de Madrid, Spain. Special sessions offer the opportunity to gather the games community around a particular topic, aiming to promote collaborations, discussions and exchanges between attendees. The topic of the special session must be narrower than that of the conference tracks. Examples of previous CoG special sessions are Games for Health and Wellbeing, Human-AI Interaction through Play, AI Uses in Designing and Playing RTS and MOBA Games, Games for Sustainable Development Goals, eSports Research and Matchmaking in Games. Special session organizers should do their best to publicize and attract high-quality papers to their sessions, as well as serving as track chairs for the special session. Their work will be coordinated with the program chairs of the conference. Papers from special sessions will be peer-reviewed by a dedicated program committee proposed by the organiser. Accepted papers will be included in the conference proceedings. Each special session proposal should include: * Title for the special session. * A description of the scope of the special session (no more than 500 words). * Name, affiliations and email of the organizers. There should be at least 2 organizers, and only the first 2 listed will be asked to serve as track chairs for the special session. * A list of research groups or institutions with interests within the scope of the session that will be contacted by the organisers to advertise the session. * A list of (at least) 10 individuals who will serve as program committee for the special session to review the submissions. These individuals must have already accepted to be part of this PC by the time the proposal is submitted, as they will be added to the reviewing system if the proposal is accepted. Include full name, affiliation and contact email address. Submit your proposals via email to the conference program chairs: Nuria Medina Medina (nmedina at ugr.es) and Diego Perez Liebana (diego.perez at qmul.ac.uk). Please, include in the subject of the email ?CoG 2026 Special Session Proposal?. Relevant dates for this call are as follows: * Submission of special session proposals: 9th January 2026. * Notification of acceptance special sessions: 23rd January 2026. Review timelines for the special session will match those of the full technical papers: * Submission of full technical papers: 17th March 2026. * Notification of acceptance of full technical papers: 1st May 2026. * Submission of the camera-ready version of full technical papers: 28th May 2026. Special session papers are 8-page long, maximum, two-column format, including references and appendices. All paper submissions should follow the recommended IEEE conference author guidelines. MS Word and LaTeX templates can be found at https://www.ieee.org/conferences/publishing/templates. All deadlines are Anytime on Earth (AoE). NONE OF THE SUBMISSION DEADLINES WILL BE EXTENDED. We look forward to having you join us at CoG 2026 in Madrid. Best regards, The Organizing Committee of IEEE CoG 2026 --- Diego P?rez Li?bana Senior Lecturer in Computer Games and Artificial Intelligence Co-founder of Tabletop R&D Programme Director of the MSc Artificial Intelligence School of Electronic Engineering and Computer Science Queen Mary University of London 67-75 New Road, E1 1HH, London, UK Office: Whitechapel Campus, Empire House (DERI), second floor. Office hours: Wednesdays 9AM-11AM. Email me to arrange a meeting. email: diego.perez at qmul.ac.uk web: http://www.diego-perez.net Email notices: 1) You may have seen that I sometimes write emails outside (your) working hours. Please don't take this as an indication that I require an immediate response - we simply may be working at different times. 2) Because of the daily high load of emails, I may take some time to reply to you. If it's important, I may take even more time, because I want to provide an adequate response. If it's urgent, I'll try to reply quickly and maybe just with a very short email. No disrespect, just trying to be efficient - I'd understand if you did the same. [cid:190e49a3-1157-4c8d-b417-2d65223ed084] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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URL: From announce at ucy.ac.cy Fri Nov 28 10:02:07 2025 From: announce at ucy.ac.cy (Announce) Date: Fri, 28 Nov 2025 15:02:07 +0000 Subject: Connectionists: The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): Last Call for Posters and Demos Message-ID: *** Last Call for Posters and Demos *** The Annual ACM Conference on Intelligent User Interfaces (IUI 2026) March 23-26, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://iui.hosting.acm.org/2026/ The ACM Conference on Intelligent User Interfaces (ACM IUI) is the leading annual venue for researchers and practitioners to explore advancements at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). IUI submissions should address HCI challenges using machine intelligence and consider both computational and human- centric aspects. As AI becomes more integrated into everyday technology, understanding its role in meeting human needs is vital for developing effective and responsible systems. This conference fosters collaboration among experts from diverse fields to tackle significant issues in AI and HCI through discussions, workshops, and networking sessions. UI 2026 attracted a record number of submissions for the main conference (561 full paper submissions after an initial submission of 697 abstracts). Posters Posters provide an opportunity for sharing valuable last-minute ideas, eliciting useful feedback on early-stage work and fostering discussions and collaborations among colleagues. We invite submissions relevant to all conference topics. All submissions should convey a scientific result or work in progress that is not yet ready to be published as a full-length research paper at a refereed conference. The page limit for poster papers is 4 pages (references do not count toward the page limit). Submitting a draft poster along with your submission is not required, but is recommended. Accepted poster papers will appear in the companion proceedings of the conference. Each accepted contribution is expected to be presented in person during the poster session. Demos The demonstration track complements the overall program of the conference. Demonstrations show implementations of novel, interesting, and important intelligent user interface concepts or systems. We invite submissions relevant to intelligent user interfaces and which address, but are not limited to, the topics of the conference. All submissions are intended to convey a scientific result or work in progress and should not be advertisements for commercial software packages. The page limit for demo papers is 4 pages (references do not count toward the page limit). Authors further need to submit a video (max. 5 mins) along with their demo paper to showcase their work. Accepted demo papers will be presented as interactive demonstrations at IUI and published in the companion proceedings of the conference. Each accepted contribution is expected to be presented in person during the demo sessions. Important Dates (AoE) ? Submission: December 21, 2025 ? Decision notification: January 26, 2026 ? Camera-ready submission: February 6, 2026 Topics The topics for the Posters and Demos are the same as for the main track. Submission Instructions Papers must be up to 4 pages (references do not count towards the page limit). Demo and poster submissions do not need to be anonymized. Submissions should follow the ACM Master Article Templates in a single-column format. We adopt the ACM TAPS Workflow. Please prepare your submission for review in a single column format, using the latest templates: Word Submission Template, or the LaTeX template using \documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template. Authors are required to include a proper classification for the paper according to the ACM Classification System (CCS). Additional information on how to use it is available at: https://dl.acm.org/ccs . A video (up to 5 mins) is required for demo submissions. The video should showcase the system that will be demonstrated during the conference. Please follow the SIGCHI Technical Requirements and Guidelines for Videos (https://sigchi.org/resources/guides-for-authors/videos/). Please submit your demos and posters electronically to the Precision Conference Submission (PCS) Portal (https://new.precisionconference.com/user/login) by the paper deadlines. In PCS, first click ?Submissions? at the top of the page, from the dropdown menus for Society, Conference, and Track, please select ?SIGCHI?, ?IUI 2026?, and ?IUI 2026 Posters? or ?IUI 2026 Demos?, respectively, and then press ?Go?. Note: If the corresponding author (the individual who submits the paper, not necessarily the first author) is affiliated with a participating institution that has an open access agreement with ACM, the Article Processing Charges (APCs) will be waived for publishing the paper. Details are under ?Publication and Open Access?. Accessibility Authors are asked to make their paper submissions accessible (so that reviewers with vision impairments can access them, for example). The authors of accepted papers will be required to make their final PDFs accessible. Please use the SIGCHI Guide to an Accessible Submission for detailed instructions. If you are submitting a video as supplemental material, please provide captions, as described in Technical Requirements and Guidelines for Videos. Please refer to the Accessibility page of the conference site for further details and guidelines. Usage of Generative AI All submissions must comply with the ACM policy on the usage of GenAI: the April 2023 ACM Policy on Authorship and Frequently Asked Questions. Text generated from a large-scale language model (LLM), such as ChatGPT, must be clearly marked where such tools are used for purposes beyond editing the author?s own text. Authors should include a ?GenAI Usage Disclosure? section, right before the references, to provide full disclosure of all use of GenAI tools in all stages of the research (including the code and data) and the writing. This section, together with the references, will not be counted toward the word limit. While we do not anticipate using tools on a large scale to detect LLM-generated text, we will investigate submissions brought to our attention and desk reject papers where LLM use is not clearly marked. Organisation General Chairs ? Tsvi Kuflik, The University of Haifa, Israel ? Styliani Kleanthous, Open University of Cyprus, Cyprus Local Organising Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Posters and Demos Chairs ? Julia Sheidin, Braude College of Engineering, Israel ? Marko Tkalcic, University of Primorska, Slovenia ? Ming Yin, Purdue University, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From giovanni.stanco at unina.it Fri Nov 28 10:24:42 2025 From: giovanni.stanco at unina.it (GIOVANNI STANCO) Date: Fri, 28 Nov 2025 15:24:42 +0000 Subject: Connectionists: [CoNEXT 2026] Call for papers In-Reply-To: References: Message-ID: Dear colleagues, You are invited to submit your high-quality work to the upcoming ACM CoNEXT 2026. =========================================== December 7-11, 2026 - Utrecht, The Netherlands Conference website: https://conferences.sigcomm.org/co-next/2026/#!/home Full CFP: https://conferences.sigcomm.org/co-next/2026/#!/cfp Submission Guidelines: https://conferences.sigcomm.org/co-next/2026/#!/submission =========================================== ---------------------- Important Dates for December Submissions ---------------------- * Paper Registration: December 5th, 2025 * Paper Submission: December 12th, 2025 * Early reject notification: February, 2026 * Notification of Acceptance: March 31st, 2026 * Camera Ready for accepted papers: April 30th, 2026 * Publication of accepted papers: June 2026 issue of PACMNET For papers given the one-shot major revision option: * Major revision due: May 29th, 2026 * Paper Submission: June 5th, 2026 * Camera Ready for accepted papers: July 31st, 2026 * Publication of accepted papers: September 2026 issue of PACMNET All deadline times are at 24:00 Anywhere on Earth (AoE). --------------------- Aims and Scope --------------------- We especially encourage submissions that present novel experimentation, creative use of networking technologies, and new insights made possible using analysis. We invite submissions on a wide range of networking topics. The list of topics includes (in alphabetical order): * Content distribution and caching, e.g., CDN, peer-to-peer, overlays * Design, analysis, and evaluation of network architectures * Experience and lessons learned by deploying large-scale networked systems * Experience with applying machine learning, large language models (LLMs) and generative AI to networking problems * In-network computing, NFV, and network programmability * Innovative uses of network data beyond communication * Network measurements and modeling * Internet economics and policy * Mobile and wireless network protocols and applications * Machine learning as applied to all layers of networking * Networked applications, including XR, web, video, and online social networks * Network and systems for AI * Network aspects of datacenters, cloud computing, operating systems, virtualization * Network aspects of IoT * Network control and management, including SDN * Network, transport, and application-layer protocols * Next-generation mobile networks * Reliability and availability of networks, protocols, and applications * Reproducibility of networking research * Routing and traffic engineering * Security and privacy aspects of network applications, protocols, and systems * Sustainable (e.g., energy-efficient, carbon-efficient) computing and networking We are open to other contributions that stretch networking research outside of these topics, present new emerging computing trends, or potentially involve unfamiliar techniques. We welcome experience submissions that clearly articulate lessons learned, as well as submissions that refute prior published results. We emphasize that the focus of CoNEXT is networking and its impact on networked applications. For example, papers focusing on the wireless physical layer without considering the impact on the network (e.g., quantitative performance benefits, deployment challenges) are out of scope. Similarly, contributions that focus on improvements and applications of AI models are welcome if they present a critical and in-depth analysis of the advantages and disadvantages of the proposed solutions, with a clear take-home message from a networking perspective. Potential authors who are unsure of the scope are encouraged to contact the PC chairs before submission. -------------------------- Thank you for your consideration. ACM CoNEXT'26 Organization Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Nov 29 03:46:10 2025 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 29 Nov 2025 09:46:10 +0100 (CET) Subject: Connectionists: AIces 2026: early registration December 13 Message-ID: <1464346422.45929.1764405971362@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 13, 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 by participants 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. OPEN DEBATES: An open debate session 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. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://aices.irdta.eu/2026/sponsors/ ORGANIZING COMMITTEE: Samuel Anjos (Maia, social networks) Osheen Jain (London, communications) Jos? Paulo Marques dos Santos (Maia, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg) Jos? Lu?s Reis (Maia) Lu?s Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://aices.irdta.eu/2026/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://aices.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of academic activities. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Luxembourg/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Sat Nov 29 08:10:36 2025 From: announce at ucy.ac.cy (Announce) Date: Sat, 29 Nov 2025 13:10:36 +0000 Subject: Connectionists: AAMAS 2026: Last Call for Nominations for the 2026 IFAAMAS Influential Paper Award Message-ID: *** Last Call for Nominations for the 2026 IFAAMAS Influential Paper Award *** The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) May 25-29, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://cyprusconferences.org/aamas2026/ 2026 IFAAMAS Influential Paper Award The International Foundation for Autonomous Agents and Multi-Agent Systems (IFAAMAS) in 2006 established an award to recognize publications in the autonomous agents and multiagent systems field that have made influential and long-lasting contributions. Candidates for this award are papers that have proved a key result, led to the development of a new subfield, demonstrated a significant new application or system, or simply presented a new way of thinking about a topic that has proved influential. A list of previous winners of this award appears at http://www.ifaamas.org/award-influential.html . This award is presented annually at the AAMAS Conference. Winning papers must have been published at least 10 years before the first day of the conference. Therefore, papers eligible for the 2026 award must have been published earlier than May 2016, and in a recognized scientific forum (e.g., journal, conference, or workshop). The criteria that will be considered in the selection for the award are: 1. Opened up new research line(s) within and even outside AAMAS; 2. Broad impact, e.g. started new fields, new conferences, new journals; 3. Broadly inspired the community; 4. Posed and/or solved an issue seen as fundamental to the field. To nominate a publication for this award, please send by December 10, 2025 the full reference plus a brief statement (200 words or fewer) arguing for the significance of the paper to the chair of the 2026 IFAAMAS Influential Paper Award committee, Maria Gini (gini at umn.edu). -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Nov 30 20:55:54 2025 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 30 Nov 2025 17:55:54 -0800 Subject: Connectionists: 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... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From tomov90 at gmail.com Sun Nov 30 14:47:17 2025 From: tomov90 at gmail.com (Momchil Tomov) Date: Sun, 30 Nov 2025 14:47:17 -0500 Subject: Connectionists: Fully-funded PhD positions in Human & Machine Intelligence (Neuro & AI) at Boston College Message-ID: How does the brain support adaptive decision making in the real world? Recent advances in AI have provided us with models that rival humans on challenging naturalistic tasks and can serve as starting points for tackling this question head-on. At the same time, as frontier AI labs push the limits of scaling laws, many doubt whether more data and compute alone will lead to human-level learning, planning, and generalization. The new *Human & Machine Intelligence Lab* at *Boston College* is recruiting *1-2 PhD students* to work on reverse-engineering naturalistic learning and decision making in the brain. Specifically, we aim to understand: 1. How the human brain *learns* internal models of complex, naturalistic environments. 2. How it uses these models to *plan* toward distant goals. 3. How it *generalizes* this knowledge to new environments. Building on recent work in theory-based RL [1], you will tackle these questions by leveraging state-of-the-art AI models (e.g., DDQN, MuZero, LLMs/VLMs) to analyze behavioral, fMRI, and MEG data from human subjects engaging in rich tasks, such as learning to play new video games. You will also have the opportunity to design and conduct experiments (behavior/fMRI/MEG) to test your hypotheses. The lab is led by *Momchil Tomov* (starting in Fall 2026) and is joint between the *Department of Psychology & Neuroscience* and the *Department of Computer Science*. *Why Boston College?* Boston College is an elite R1 research institution in the heart of the Boston metropolitan area. Greater Boston is a powerhouse of innovation, home to over 35 colleges and universities ? including Harvard and MIT ? and a thriving ecosystem of AI & biotech startups. As a PhD student, you will be immersed in this vibrant research community while enjoying the benefits of living in a diverse, bustling metropolis. For the outdoors-inclined, New England offers scenic opportunities to escape city life: from sailing on the Charles River, to hiking or skiing in the White Mountains, to surfing off the shores of Rhode Island, to enjoying freshly caught oysters on Cape Cod. *Position Details* - Lab: Human & Machine Intelligence - PI: Momchil Tomov - Website: www.momchiltomov.com - Contact: mtomov+connectionists at g.harvard.edu - Stipend: $45,000 / year (fully-funded) - Start date: September, 2026 *Application* - Deadline: *December 15, 2025* - Department of Psychology & Neuroscience: [*APPLY HERE * ] - Department of Computer Science: [*APPLY HERE * ] *Requirements* The ideal candidate has experience with state-of-the-art RL models/LLMs/VLMs and/or experience analyzing behavioral/neural data. Experience collecting fMRI/MEG data is a plus. Please do not hesitate to reach out with questions! We also encourage you to forward this to anyone who might be interested. *References* [1] Tomov, M. S., Tsividis, P., Pouncy, T., Tenenbaum, J. B., Gershman, S. J. (2023). ?The neural architecture of theory-based reinforcement learning.? *Neuron* 111 (2): 454-469. https://doi.org/10.1016/j.neuron.2023.01.023 -------------- next part -------------- An HTML attachment was scrubbed... URL: