From emanuele.nardone at unicas.it Fri May 1 05:06:18 2026 From: emanuele.nardone at unicas.it (Emanuele NARDONE) Date: Fri, 1 May 2026 11:06:18 +0200 Subject: Connectionists: CFP: BIOMAP 2026 - International Workshop on Bio-Inspired Methods for Pattern Recognition (BIOMAP 2026) Message-ID: *Call for papers: **International Workshop on Bio-Inspired Methods for Pattern Recognition (BIOMAP 2026) - August 22, 2026 ** (PDF )* The workshop will be held in conjunction with *ICPR 2026 * (*28th International Conference on Pattern Recognition, Lyon, France, August 17-22, 2026*) The workshop will present recent advances in bio-inspired intelligence, such as swarm intelligence and evolutionary computation, as a framework for advanced pattern recognition. Its main goal is to link the bio-inspired intelligence and pattern recognition communities to foster the development of robust, efficient, and adaptive solutions for challenging real-world problems. *? TOPICS OF INTEREST* Topics include, but are not limited to: - Evolutionary neural architecture discovery - Swarm intelligence for distributed patterns - Self-organising and adaptive vision - Artificial life and emergent patterns - Evolutionary multi-objective optimisation - Applications and grand challenges (medical imaging, autonomous driving, remote sensing, biometrics, industrial inspection) - and more .. *? IMPORTANT DATES* - Paper Submission Deadline *(EXTENDED)*: May 15, 2026 - Notification of Acceptance: June 10, 2026 - Camera-Ready Submission: June 18, 2026 (strict deadline) *? SUBMISSION DETAILS* Workshop proceedings will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. Authors must use the LNCS paper format available on the ICPR 2026 website. *Page Limits & Eligibility:* - Maximum length: 15 pages (including references) - Only full papers (more than 6 pages) will be published in the proceedings *Originality & Review:* Authors are invited to submit original papers that have not been published or submitted for publication elsewhere. All submissions will undergo a double-blind review process. *Registration:* Each accepted paper must have a presenting author registered. Registration details will be available via the ICPR 2026 registration link. *? WORKSHOP CHAIRS* - Francesco Fontanella , University of Cassino and Southern Lazio, Italy - Emanuele Nardone , University of Cassino and Southern Lazio, Italy - Leonardo Vanneschi , NOVA IMS, Universidade Nova de Lisboa, Portugal *?? CONTACT* For inquiries, please contact: Emanuele Nardone @Emanuele NARDONE We look forward to your submissions and to seeing you in Lyon! *Emanuele Nardone* AI Researcher University of Eastern Finland [image: linkedin icon] Email: emanuele.nardone at uef.fi emanuele.nardone at unicas.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Mon May 4 02:21:54 2026 From: hocine.cherifi at gmail.com (hocine.cherifi at gmail.com) Date: Mon, 4 May 2026 01:21:54 -0500 Subject: Connectionists: =?utf-8?q?COMPLEX_NETWORKS_2026_=E2=80=93_Call_fo?= =?utf-8?q?r_Contributions_on_Graph_Machine_Learning_and_Networked_?= =?utf-8?q?Data?= Message-ID: Dear colleagues, As General Co-Chair of COMPLEX NETWORKS 2026, I am pleased to invite submissions to the 15th International Conference on Complex Networks and Their Applications, which will take place in Granada, Spain, from December 2?4, 2026, with tutorials on December 1. COMPLEX NETWORKS has become a strongly interdisciplinary venue connecting network science, graph machine learning, data mining, complex systems, and applications. For researchers working on graph-based learning, it offers an excellent opportunity to present methods in dialogue with communities studying real-world networked systems. We particularly welcome contributions on graph neural networks, graph representation learning, graph foundation models, network embeddings, link prediction, graph mining, temporal and dynamic graphs, multilayer and heterogeneous networks, knowledge graphs, explainable graph learning, and machine learning for complex network data. Granada, with its exceptional historical heritage and vibrant academic atmosphere, will provide an inspiring setting for scientific exchange. The program will feature keynote lectures by Alexandra Brintrup, Nitesh Chawla, Kimmo Kaski, Bruno Lepri, and Eckehard Sch?ll, as well as tutorials by Fariba Karimi and Huijuan Wang. Submissions are invited as full papers for the Springer proceedings and as extended abstracts for presentation at the conference. Selected contributions will also be considered for journal special issues. Submission deadline: September 2, 2026 Website: https://complexnetworks.org/ Submission: https://cmt3.research.microsoft.com/COMPLEXNETWORKS2026/ We warmly invite you to join us in Granada and contribute to making this 15th edition a memorable gathering for the community. Best regards, Hocine Cherifi General Co-Chair, COMPLEX NETWORKS 2026 -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat May 2 03:55:08 2026 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 2 May 2026 09:55:08 +0200 (CEST) Subject: Connectionists: DeepLearn 2026: early registration May 22 Message-ID: <77540361.113969.1777708508223@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: May 22, 2026 ****************************************************** SCOPE: DeepLearn 2026 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Lule?, Bournemouth, Bari, and Porto. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedicine and healthcare, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, business and finance, biotechnology, physics and astrophysics, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, earth and sustainability, mathematical proofs, etc. etc. The field is also raising a number of relevant questions about efficiency and robustness of the algorithms, explainability, transparency, interpretability, risks and safety, as well as important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed and main challenges identified through 16 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), Convergence Theory: How Fast Do Discrete Diffusion Models Generate? Le Song (Mohamed bin Zayed University of Artificial Intelligence), Towards AI-Driven Digital Organism: A System of Multiscale Foundation Models for Biology PROFESSORS AND COURSES: Nitesh Chawla (University of Notre Dame), [intermediate] Synthetic Data Generation and Learning from Imbalanced Data: From SMOTE to LLMs Jianfei Chen (Tsinghua University), [intermediate] Efficient Large Model Training and Inference 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 Applications in Machine Learning and Foundation Models 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: Integrated Multimodal Sensing, Controlled Inference, and Spatio-Temporal Attention Yan Liu (University of Southern California), [intermediate] Time Series Foundation Models: From Forecasting to Reasoning Zhijin Qin (Tsinghua University), [intermediate/advanced] Token-Based Semantic Communications Aarti Singh (Carnegie Mellon University), [intermediate] Human Centered AI: Challenges and Opportunities Suvrit Sra (Technical University of Munich), [introductory/intermediate] Introduction to the Theory of Learning with Transformers Ivor Tsang (A*STAR Centre for Frontier AI Research), [introductory/intermediate] Long-Horizon Agentic Intelligence 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 Large Language Models 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) Florian Nowicki (Orl?ans, social networks) 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 are available at https://deeplearn.irdta.eu/2026/accommodation/ CERTIFICATE: A certificate of successful participation will be delivered indicating the number of hours of academic activities (40). This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universit? d?Orl?ans Coll?ge Doctoral Centre-Val de Loire Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Luxembourg/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Sun May 3 10:59:13 2026 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Sun, 3 May 2026 17:59:13 +0300 Subject: Connectionists: FLLM2026 (Co-Sponsored by IEEE): The 4th International Conference on Foundation and Large Language Models, 17 - 20 November 2026 | Barcelona, Spain Message-ID: [Apologies if you got multiple copies of this invitation] The 4th International Conference on Foundation and Large Language Models (FLLM 2026) https://fllm-conference.org/2026/index.php 17 - 20 November 2026 | Barcelona, Spain Hybrid Conference and Technically Co-Sponsored by IEEE Spain Section *FLLM 2026 CFP:* With the emergence of foundation models (FMs) and Large Language Models (LLMs) that are trained on large amounts of data at scale and adaptable to a wide range of downstream applications, Artificial intelligence is experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new applications ranging from computer vision to protein sequence study and from speech recognition to coding. Earlier models had a reputation of starting from scratch with each new challenge. The capacity to experiment with, examine, and comprehend the capabilities and potentials of next-generation FMs is critical to undertaking this research and guiding its path. Nevertheless, these models are currently inaccessible as the resources required to train these models are highly concentrated in industry, and even the assets (data, code) required to replicate their training are frequently not released due to their demand in the real-time industry. At the moment, mostly large tech companies such as OpenAI, Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite the expected widely publicized use of FMs and LLMS, we still lack a comprehensive knowledge of how they operate, why they underperform, and what they are even capable of because of their emerging global qualities. To deal with these problems, we believe that much critical research on FMs and LLMS would necessitate extensive multidisciplinary collaboration, given their essentially social and technical structure. The International Conference on Foundation and Large Language Models (FLLM) addresses the architectures, applications, challenges, approaches, and future directions. We invite the submission of original papers on all topics with special interest in but not limited to: - *Architectures and Systems* - Transformers and Attention - Bidirectional Encoding - Autoregressive Models - Massive GPU Systems - Prompt Engineering - Multimodal LLMs - Fine-tuning - *Challenges* - Hallucination - Cost of Creation and Training - Energy and Sustainability Issues - Integration - Safety and Trustworthiness - Interpretability - Fairness - Social Impact - * Future Directions* - Generative AI - Explainability and EXplainable AI - Retrieval Augmented Generation (RAG) - Federated Learning for FLLM - Large Language Models Fine-Tuning on Graphs - Data Augmentation - * Natural Language Processing Applications* - Generation - Summarization - Rewrite - Search - Question Answering - Language Comprehension and Complex Reasoning - Clustering and Classification - * Applications* - Natural Language Processing - Communication Systems - Security and Privacy - Image Processing and Computer Vision - Life Sciences - Financial Systems *Call for Special Tracks Papers:* - *Short papers:* (4-6 pages). - *Poster papers:* (1-2 Pages) - *Position Paper:* (2-4 pages) - *PhD Symposium:* (Up to 6 Pages) - *Demos :* (Up to 2 Pages) - *Systemization of Knowledge (SoK) or Focused Surveys:* (10-15 pages) *Journal Special Issue:* Selected high quality papers will be invited for special issue submission at the *Information Processing & Management (impact factor : 6.9)* https://www.sciencedirect.com/journal/information-processing-and-management *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 6 pages (including all figures, tables and references). Extra pages (up to 4 pages) can be purchased for a fee. Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Authors of accepted papers are expected to present their work at the conference. *Important Dates:* - *Paper submission deadline: July 21, 2026* - Notification of acceptance: October 1 , 2026 - Camera-ready Submission: October 15, 2026 *Contact:* Please send any inquiry on FLLM to: info at fllm-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun May 3 10:52:13 2026 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 3 May 2026 16:52:13 +0200 Subject: Connectionists: World wide VVTNS series (6th season): Weak, weird, coordinated: functional transient oscillations | Wednesday, May 6, 2026, at 11:00 am ET - Demian Battaglia, CNRS, Strasbourg, France 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 Demian Battaglia CNRS, Strasbourg on the topic of Weak, weird, coordinated: functional transient oscillations without a metronome The lecture will be held on zoom on May 6, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Neural oscillations are often proposed to support brain computation by routing information, organizing cell assemblies, or shaping coding dynamics. Yet these ideas usually assume rhythms that are strong, sustained, and regular, whereas in vivo oscillations are often weak, transient, noisy, and variable in frequency and phase. In this talk, I will argue that such ?no-metronome? oscillations are not just noisy fluctuations, but coordinated complex dynamics with functional consequences. Combining analyses of neural activity recordings during actual behavior (mice and non-human-primate LFPs and human EEG) with computational modelling, I will discuss evidence that transient oscillatory events can carry task-relevant information and support flexible communication through spatiotemporally structured relationships across populations, timescales, and frequencies. Together, these results suggest that oscillatory weakness and weirdness are not just imperfections, noise to average-out, but part of the functional repertoire of neural computation. *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 stephan.petrone at gmail.com Sun May 3 14:17:28 2026 From: stephan.petrone at gmail.com (Stephan Petrone) Date: Sun, 3 May 2026 20:17:28 +0200 Subject: Connectionists: MESS'26 Summer School: Quantum & Neuromorphic Optimization Message-ID: Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2026 - Metaheuristics Summer School ~ Emerging Computing Paradigms for Optimization: from Quantum to Neuromorphic ~ 6-10 July 2026, Catania, Italy https://www.ANTs-lab.it/mess2026/ mess.school at ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- ** NEW APPLICATION DEADLINE: 20th May 2026 ** https://www.ants-lab.it/mess2026/apply.html MESS 2026 offers a deep dive into the frontiers of Quantum and Neuromorphic computing. The program explores the entire technological stack, covering architectures, programming models, and advanced algorithms for complex optimization. Through a blend of theoretical lectures and hands-on sessions, participants will gain the expertise to lead innovation in next-generation computational research. The lectures will focus on the following topics for both quantum and neuromorphic computing: 1) architectures; 2) programming models; 3) optimization algorithms and applications; and 4) pratical work. The school will involve a total of 36-40 hours of lectures; therefore, in according to the academic system, all PhD and master students attending the summer school will can get 8 ECTS points. ** LECTURERS # QUANTUM COMPUTING: + Siddhartha Bhattacharyya, VSB Tech. Un. Ostrava, Czech Republic lecture1: "Introduction to Quantum Computing" lecture2: "Quantum Neural Networks: From Quantum-Inspired Framework to Quantum-Gate Framework" + Linsey Rodenbach, Quantum Computing at NVIDIA lecture1: "TBA" lecture2: "TBA" + Philippe Lacomme, Universit? Clermont-Auvergne, CNRS, France lecture1: "TBA" lecture2: "TBA" # NEUROMORPHIC COMPUTING: + Irem Boybat, IBM Research Zurich, Switzerland lecture1: "TBA" lecture2: "TBA" + Elisa Donati, Institute of Neuroinformatics UZH/ETH lecture1: "Neural networks and neural computing" lecture2: "Neuromorphic Computing and Technology" + El-Ghazali Talbi, University of Lille, France lecture1: "Neuromorphic computing: A gentle introduction" lecture2: "Neuromorphic-based optimization: Algorithms based on metaheuristics and computational biology" + Jorge Cruz-Duarte, University of Lille, France lecture1: "Neuromorphic-based optimization: Software framework under Lava and Nengo" ~ More Lecturers will be announced soon ~ ** SHORT ORAL PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. The organizing committee will review the abstracts and will recommend the format of the presentation (oral or poster). All abstracts will be published in the electronic hands-out book of the summer school. The Abstracts must be submitted during the application by *April 15, 2026*. ** MESS 2026 DIRECTORS: - Salvatore Greco, University of Catania, Italy - Mario Pavone, University of Catania, Italy - Andrea Schaerf, University of Udine, Italy - El-Ghazali Talbi, University of Lille1, France - Daniele Vigo, University of Bologna, Italy ** MORE INFORMATION: https://www.ANTs-lab.it/mess2026/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From vlada.radosavljevic at gmail.com Sat May 2 21:02:08 2026 From: vlada.radosavljevic at gmail.com (Vladan Radosavljevic) Date: Sun, 3 May 2026 03:02:08 +0200 Subject: Connectionists: 2nd CfP - AdKDD @ KDD2026 Message-ID: Call for Workshop Papers The 20th Edition of AdKDD - AdKDD 2026 in conjunction with The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026) Jeju, Korea, August 9th - 13th, 2026 http://www.adkdd.org As of the second quarter of 2024, the worldwide internet user spent more than 6.5 hours daily across all devices interacting with online content almost entirely sponsored by advertisements. At almost $700B global market size in 2024, and expected to reach $870B by 2027, digital advertising has already surpassed traditional ads in global spending and continues to grow. Digital advertising and in particular computational advertising is perhaps the most visible and ubiquitous application of machine learning and one that interacts directly with consumers. When done right, ads connect us to opportunities to enrich our lives and creep us out when done badly. Recently at the forefront of political battles between governments, large multinational corporations, and consumers, digital advertising remains a dynamic industry and research area. Looking at the published literature over the last few years, many researchers might consider computational advertising as a mature field. Yet, the opposite is true. Computational advertising is evolving from simple rule-based ads controlled by monolithic publishers and randomly rotating banner ads to highly personalized content experiences within native, video, and display formats on mobile devices, connected TV, and audio?all utilizing data amassed from petabytes of stored user data collected increasingly through inferred identity providers. The increasing use of sequence models and the rise of Generative AI is spawning new directions such as the auto-generation of ad creatives or pay-for-use shopping assistants. Ads are far from done. The AdKDD workshops have had a lot of interest and success in the past years. A total of eighteen workshops have been organized every year since 2007, focusing on highlighting state-of-the-art advances in computational advertising. All the workshops were well attended, often with standing room only, and very well received both by the academic community and the advertising industry. We look forward to seeing you in-person to discuss the past, present, and future of computational advertising! Topics: The workshop focuses on three main aspects of computational advertising. Evolution of computational advertising: Online advertising has progressed beyond the notion of traditional desktop ads to ads that are native, social, mobile, and contextual. In tandem, the rise of new mechanisms, such as header bidding, complex ad exchanges, repeated auctions, ad blockers, viewability trackers, and increasing application of Graph-based NN and Generative AI models, challenge the traditional notions of advertising. There also continue to exist controversial issues in advertising, such as privacy, security, fraud, ethics, and economic attribution. We invite papers that are focused on some of the above aspects. Large-scale and novel ad targeting: Recent advances in real-time, big data systems, and easier accessibility to different types of data make it possible to design more personalized and efficient ad targeting systems. We invite papers that advance the state-of-the-art in related areas of ad targeting. Deployed systems & battle scars: We particularly encourage papers that highlight experience in deploying real-time ad targeting systems, data, and audience insights, as well as position papers on the future of online advertising. Submission Instructions: Following the KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. In addition, for each paper we may expect to have at least one author also act as a reviewer, to help reduce the reviewing load in the case of a larger number of submissions. Submissions are limited to a total of six pages, including all content and references, must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here . All accepted papers will be archived on the AdKDD website, and we are also working on having them published in official proceedings as well. Please note: All of the attendees need to register through the main conference of KDD. In addition, in line with earlier KDD workshops, we do not provide separate registration only for the workshop itself. Important Deadlines (anywhere on Earth): - Submission : May 20th, 2026 - Decisions : June 8th, 2026 - Camera-ready : June 15th, 2026 - Video Submission: July 12th, 2026 - Workshop : August 10th, 2026 Submission Website: https://easychair.org/conferences/?conf=adkdd2026 Program Committee Chairs: - Abraham Bagherjeiran (eBay) - Nemanja Djuric (Aurora Innovation) - Kuang-chih Lee (Walmart) - Suju Rajan (Amazon) - Vladan Radosavljevic (Spotify) For further questions please contact the organizers at organizers at adkdd.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From emanuel.dinardo at uniparthenope.it Mon May 4 05:33:09 2026 From: emanuel.dinardo at uniparthenope.it (EMANUEL DI NARDO) Date: Mon, 4 May 2026 09:33:09 +0000 Subject: Connectionists: [IJCNN Competition] CfP for EXACT 2026 Message-ID: <6FE851E0-DFF7-4AB4-8334-427F34ABCABD@uniparthenope.it> [Apologies if you receive multiple copies of this CFP] I would like to share an announcement for a competition that our research group is co-organizing. We would greatly appreciate your interest and help in spreading the word. EXACT 2026 | The 2nd International XAI Challenge for Transparent Educational Question-Answering | IEEE IJCNN 2026 Competition (Remote Partecipation) EXACT 2026 is the 2nd International XAI Challenge for Transparent Educational Question-Answering, co-organized by Ho Chi Minh City University of Technology (HCMUT), VNU-HCM (Vietnam) and the University of Naples Parthenope (Italy), held as part of the IEEE IJCNN 2026 Competition track (IEEE WCCI 2026, Maastricht, The Netherlands). The challenge asks participants to build AI systems that not only provide accurate answers to educational questions (academic regulations, STEM physics problems on electric circuits and electrostatics) but also generate clear, verifiable explanations for each answer. The first edition at IEEE IJCNN 2025 attracted 107 participants across 30 teams from multiple countries. This year, EXACT 2026 expands into STEM reasoning and introduces upgraded evaluation criteria. 1. ELIGIBILITY AND PARTICIPATION - Open to everyone: high school students, undergraduates, graduate students, engineers, and researchers worldwide - Up to 5 members per team (individuals can request team matching from the organizers) - Interdisciplinary and cross-institutional teams are strongly encouraged 2. DATASETS - Type 1: 464 records with 913 questions on university regulations, with natural-language premises, FOL annotations, ground-truth answers, and human-written explanations - Type 2: 5,520 physics problems on electric circuits and electrostatics, with Chain-of-Thought reasoning and numerical answers 3. TECHNICAL REQUIREMENTS - Only open-source LLMs with max 8 billion parameters - Closed-source models (GPT, Claude, Gemini, ...) are strictly prohibited - All external data used for fine-tuning must be fully disclosed - Symbolic reasoning (Z3 Solver, custom engines, ...) is encouraged but not mandatory 4. EVALUATION CRITERIA - P1: Correctness of answers - P2: Quality of natural-language explanations - P3: Depth of reasoning (FOL derivations, CoT steps, structured proofs, ...) Two automated evaluation phases, followed by a live final round before the international Challenge Chairs. 5. INTERNATIONAL CHALLENGE CHAIRS - Prof. Quan Thanh Tho, Ho Chi Minh City University of Technology (HCMUT), Vietnam - Prof. Emanuel Di Nardo, University of Naples Parthenope, Italy - Prof. Nguyen Duc Anh, University of South-Eastern Norway - Prof. Fabien Baldacci, University of Bordeaux, France - Prof. Nguyen Le Minh, JAIST, Japan 6. AWARDS AND PUBLICATION OPPORTUNITIES + Top 5: Cash prizes and invited presentation at the 15th International Conference on Computational Data and Social Networks (CSoNet 2026), November 2026 at HCMUT, Vietnam. Papers published by Springer in LNCS/LNAI, indexed by Scopus, DBLP, Web of Science, ACM Digital Library. + Top 10: Invited to submit a paper to the Special Session "Explainable AI for Educational QA" at CSoNet 2026. + All valid submissions (Phase 1 and 2): Official certificate from the Challenge Chairs and conference organizers. 7. KEY DATES - Apr 10 to May 10, 2026: Registration open - May 4, 2026: Kick-off Workshop and dataset release - May 5 to May 30, 2026: Main competition phase - Jun 10, 2026: Top 10 announcement - Jun 15, 2026: Public Test Day (live demo before international jury) - Jun 30 to Jul 15, 2026: Paper submission (Top 10 teams) - Nov 16 to 18, 2026: Presentation at CSoNet 2026 8. REGISTER NOW - Website: https://ura.hcmut.edu.vn/exact - Registration: https://forms.gle/KuExGZDCFHhwLimB8 - Deadline: May 10, 2026 - Contact: ura.hcmut at gmail.com We would be grateful if you could share this with your colleagues, research groups, and students who may be interested. Thank you very much! From jkrijthe at gmail.com Mon May 4 11:33:28 2026 From: jkrijthe at gmail.com (Jesse Krijthe) Date: Mon, 4 May 2026 17:33:28 +0200 Subject: Connectionists: PhD Position Causal Inference & Machine Learning Message-ID: We have an exciting PhD opportunity at the intersection of causal inference and ML, developing methods to make causal inference more trustworthy. This is a fully funded, 4-year position at TU Delft, The Netherlands. For more information and details on the application procedure, please see: https://careers.tudelft.nl/job/Delft-PhD-Position-Causal-Inference-&-Machine-Learning-2628-CD/1358754357/ As part of the multi-disciplinary "Safe Causal Inference" consortium, you will collaborate with leading experts in computer science, mathematics, biostatistics, epidemiology and more to make causal inference and machine learning more trustworthy. The position is at TU Delft, in collaboration with Nan van Geloven of Leiden University Medical Center. *Deadline for applications: 20 May.* Best regards, Jesse Krijthe Assistant Professor Machine Learning Department of Intelligent Systems TU Delft -------------- next part -------------- An HTML attachment was scrubbed... URL: From lilia-del-carmen.MENA-GOMEZ at univ-amu.fr Mon May 4 10:14:30 2026 From: lilia-del-carmen.MENA-GOMEZ at univ-amu.fr (MENA GOMEZ Lilia del carmen) Date: Mon, 4 May 2026 14:14:30 +0000 Subject: Connectionists: ILCB Summer School 2026: Language, Communication & the Brain (Deadline : May 22 !) In-Reply-To: References: Message-ID: <3da3f8740dce4caeabd8a1ac9fee5000@univ-amu.fr> Dear all, The clock is ticking! Applications for the 9th ILCB Summer School close this month ? Friday, May 22, 2026 (anywhere on Earth). Don?t miss your chance to join us for an unforgettable week of language and brain exploration in Aix-en-Provence, France (August 24?28, 2026)! Why apply? This year?s program offers five-day theoretical and methodological courses on cutting-edge topics: * Brain imaging techniques & neural networks * Auditory cognition & language development * Computational modeling & language pathologies * Neural basis of language processing Who should join? PhD students, postdocs, academics, and exceptionally motivated Master?s students from relevant backgrounds (neuroscience, linguistics, cognitive science, etc.). Practicalities: * Registration fee: ?350 * Travel & accommodation: At participants? expense * Venue: Le Cube, Aix-Marseille Universit? Deadline: May 22, 2026 ? Less than 3 weeks left! Program & details: https://www.ilcb.fr/2026-9/ Apply now: https://columbo.univ-amu.fr/index.php/667994?lang=en Spread the word! Know someone who?d be a great fit? Forward this email or share the links ? we?d be so grateful for your help. Join us in Aix-en-Provence for a transformative learning experience ? we can?t wait to see you there! Lilia MENA Project Manager Institute of language, communication & the brain (ILCB) [https://sesame.univ-amu.fr/Logos/logo_amu_new.png] Campus Aix-en-Provence, B?timent B-Bureau 101, 5 Avenue Pasteur, 13100 Aix-en-Provence C lilia-del-carmen.MENA-GOMEZ at univ-amu.fr W www.ilcb.fr Remote work every Monday + 1 floating day. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OutlookEmoji-https://sesame.univ-amu.fr/Logos/logo_amu_new.png2e790e29-3d28-4270-afa4-224804d8e945.png Type: image/png Size: 8070 bytes Desc: OutlookEmoji-https://sesame.univ-amu.fr/Logos/logo_amu_new.png2e790e29-3d28-4270-afa4-224804d8e945.png URL: From giulio.bondanelli at univ-lyon1.fr Mon May 4 10:16:08 2026 From: giulio.bondanelli at univ-lyon1.fr (BONDANELLI GIULIO) Date: Mon, 4 May 2026 14:16:08 +0000 Subject: Connectionists: PhD position available at Lyon Neuroscience Research Centre, Lyon, France Message-ID: A PhD position is available at the Lyon Neuroscience Research Centre (CRNL) in Lyon (France) in the group of Giulio Bondanelli (https://sites.google.com/view/giuliobondanelli/). The group develops dynamical system and statistical models to constrain circuit models of brain function from multimodal neural data at the cellular level (recordings, connectome data, intervention), with the goal of understanding how neural computations arise from collective network interactions. We are looking for candidates with a strong quantitative background and solid programming skills, as well as an interest in exploring neuroscientific questions. Experience with the analysis of neural data is a plus. The successful applicant will be based at the Lyon Neuroscience Research Centre (https://www.crnl.fr/en?language=en; Universit? Claude Bernard Lyon 1), within an international and highly dynamic environment situated on the Campus Le Vinatier in Lyon. The centre brings together groups with diverse experimental and computational approaches spanning multiple scales of neuroscience. The position will start between September and December 2026, although the precise starting date is flexible. The contract will have a duration of 3 years. Candidates should send a CV and a brief statement of interest (up to 1 page) to giulio.bondanelli at univ-lyon1.fr *before June 15th, 2026*. Many thanks, ? Giulio Bondanelli Centre de Recherche en Neurosciences de Lyon, Universit? Claude Bernard Lyon 1 giulio.bondanelli at univ-lyon1.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahar.moghimi at u-picardie.fr Tue May 5 03:50:24 2026 From: sahar.moghimi at u-picardie.fr (Sahar Moghimi) Date: Tue, 05 May 2026 09:50:24 +0200 Subject: Connectionists: =?utf-8?q?Postdoctoral_Position_=E2=80=93_EEG=2C_?= =?utf-8?q?AI_=26_Neonatal_Brain_Development?= Message-ID: <20260505095024.Horde.sgrgLTeLux92yNXtXPWnwXP@webmail.u-picardie.fr> Dear list members, Please kindly share the following announce for a postdoctoral position with potentially interested candidates. Kind wishes, Sahar Postdoctoral Position ? EEG, AI & Neonatal Brain Development We are recruiting a postdoctoral researcher to investigate early brain development in preterm infants using EEG and artificial intelligence at Picardie Jules Verne University, Amiens, France. The project aims to develop AI-based models of cerebral maturation during the second and third trimesters of gestation, using one of the world?s largest neonatal EEG datasets (>15,000 recordings collected at Amiens University Hospital, France). The project combines: ? Large-scale EEG analysis and phenotyping ? Machine learning / AI modeling of developmental trajectories The goal is to build interpretable, scalable tools for evaluation of brain maturation in preterm neonates. The project is conducted under the co-supervision of Prof. Sahar Moghimi (GRAMFC- Inserm UMR1105) and Prof. Florence Lev? (MIS, UPJV), within GRAMFC (Inserm UMR1105, Amiens). Profile / expertise PhD in neuroscience, biomedical engineering, data science, or related field Strong experience in EEG analysis and/or time-series analysis Strong experience in machine learning and AI models High skills in Python Interest in neurodevelopment Experience with large datasets is highly desirable. Submission deadline: June 15th, 2026 Start date: September 2026 Location: Amiens, France Duration: 12 months Salary: According to University standards (depending on experience) Applications including a CV with up-to-date list of publications, a motivation letter, and the contact information of two referees, should be send to sahar.moghimi at u-picardie.fr and florence.leve at u-picardie.fr -- Sahar Moghimi (she/her) GRAMFC, Inserm UMR1105 Universit? de Picardie Jules Verne mail: sahar.moghimi at u-picardie.fr Mes horaires de travail peuvent diff?rer des v?tres?n?h?sitez pas ? r?pondre au moment qui vous convient le mieux. My work hours may differ from yours?please feel free to respond at a time that is convenient for you. From ludovico.montalcini at gmail.com Tue May 5 04:57:01 2026 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Tue, 5 May 2026 10:57:01 +0200 Subject: Connectionists: =?utf-8?q?Final_Call_for_Participation_-_9th_Adva?= =?utf-8?q?nced_Course_on_Data_Science_=26_Machine_Learning_-_ACDL_?= =?utf-8?q?2026_-_From_AI_Agents_to_Agentic_AI_=7C_June_8-12_=7C_Ri?= =?utf-8?q?va_del_Sole_Resort_=26_SPA_Tuscany_=E2=8F=B0_Registratio?= =?utf-8?q?n_by_15_May?= Message-ID: **Master Agentic AI in 5 Days + Earn 8 ECTS in Tuscany!** * Apologies for multiple copies. Please forward the course information among anybody (labs/departments/students) and social and scientific networks that might be interested. Thank you! * Learn directly from researchers at DeepMind, Meta and Top Universities ? in a top, residential program in Tuscany. ? 8 ECTS recognized credits ? Focus on Agentic AI & cutting-edge ML ? International cohort (PhD, researchers, engineers) ? Full immersive experience in Tuscany ? Apply now ? Limited to 250 participants, Applications close May 15 ? seats filling fast. ? ACDL 2026, A Residential Course: From AI Agents to Agentic AI, ? June 8-12, Tuscany ? Registration: by May 15 ? ACDL 2026 is a full-immersion 5-day course in Riva del Sole Resort & SPA - Tuscany on cutting-edge advances in AI, Deep Learning, LLMs, Data Sc., Generative AI, AI Agents & Agentic AI with lectures delivered by world-renowned experts. ?Riva del Sole Resort & SPA - Tuscany, June 8-12, 2026 ? https://acdl2026.icas.events ? acdl at icas.cc ? EARLY REGISTRATION: by May 15 (AoE) ? ?? Register here: https://acdl2026.icas.events/registration/ ? LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. ? https://acdl2026.icas.events/lecturers/ It follows the (partial) list of the confirmed ??? ACDL 2026 Lecturers: * Lucas Beyer, Meta, Z?rich, Switzerland 3 Lectures on "Transformers & Vision Transformers" * Sven Giesselbach, T Systems International & Fraunhofer Institute - IAIS, Germany 3 Lectures on ?Agentic AI? * Anirudh Goyal, Google DeepMind & Mila, Universit? de Montr?al, Canada 3 Lectures on ?Metacognition as a Control Plane for Reasoning? * Arthur Gretton, UCL & Google DeepMind, UK 2 Lectures on "Causal Effect Estimation with Context and Confounders? * Mario Guarracino, University of Cassino and Souther Lazio, Italy Lectures TBA * Katja Hofmann, Microsoft, UK 3 Lectures on ?World Models? * Arnulf Jentzen, University of M?nster, Germany Lecture 1/3 ?Mathematical Introduction to Stochastic Gradient Descent Optimization? Lecture 2/3 ?Error Analyses for Adam and further Accelerated and Adaptive Optimizers? Lecture 3/3 ?Deep Learning for High-Dimensional Partial Differential Equations? * Pushmeet Kohli, Google DeepMind, UK Lectures TBA * Panos Pardalos, University of Florida, USA Lectures TBA * Michal Valko, Stealth Startup, INRIA, MVA at ENS Paris-Saclay, France Lecture 1/3 ?Lightspeed RL Fine Tuning for LLMs? Lecture 2/3 ?Online and Offline RL Considerations for LLMs ? Lecture 3/3 ?New Advances on the Theory of Language Generation and Hallucination? * Jason Weston, META, USA Lecture 1/3 ?Self-Improving Language Models? Lecture 2/3 ?Self-Improving Agents? Lecture 3/3 ?The Future of Self-Improvement & the Promise of Co-Improving AI? More Lecturers TBA ? LECTURES: ? https://acdl2026.icas.events/lectures/ ? PAST LECTURERS: ? https://acdl2026.icas.events/past-lecturers/ ? VENUE: ? https://acdl2026.icas.events/venue/ Riva del Sole Resort & SPA Localit? Riva del Sole? Castiglione della Pescaia (Grosseto) CAP 58043? Tuscany? Italy p: +39-0564-928111 ? booking.events at rivadelsole.it ? https://www.rivadelsole.it/en/ ?Map of the Riva del Sole Resort & SPA: https://acdl2026.icas.events/wp-content/uploads/sites/36/2023/05/Riva-del-Sole-Resort-SPA-map.pdf PAST EDITIONS: ? https://acdl2026.icas.events/past-editions/ ? CERTIFICATE & 8 ECTS: The 9th Advanced Course on Data Science & Machine Learning ? ACDL 2026 is a full-immersion five-day Course at the Riva del Sole Resort & SPA (Castiglione della Pescaia ? Grosseto ? Tuscany, Italy) on cutting-edge advances in Deep Learning, Data Science and Generative AI with lectures delivered by world-renowned experts. The Course provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment. PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the ACDL attendants. The Course will involve a total of 36?40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student ? BSc Student) attending the Course. Language: English. To participate in the ACDL 2026, all attendants must (1/2) register for the course (by May 15) and (2/2) book accommodation at the course venue, ?Riva del Sole Resort & SPA? (by May 15); all attendants must stay at the ?Riva del Sole Resort & SPA?. Booking accommodation at the Riva del Sole must be made exclusively using the accommodation form attached to the registration confirmation email. No other methods must be used (if you use other booking methods the hotel will cancel the reservation). Finally, it is not possible to extend the stay, the special accommodation rates are valid only for the period of the course, no exceptions will be made. To contact the Riva del Sole Resort & SPA (the course venue) use the following email: booking.events at rivadelsole.it Once accommodation has been booked at ?Riva del Sole Resort & SPA?, the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl at icas.cc). ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with (or a double room in Hotel), please send to the Hotel ( ? booking.events at rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book a hotel room in single use. Please note that only ACDL registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the ACDL Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking. Anyone interested in participating in ACDL 2026 should register as soon as possible. See you in Riva del Sole in June! ACDL 2026 Directors. ACDL 2026 Scientific & Organizing Committees. ? https://acdl2026.icas.events ? acdl at icas.cc https://x.com/TaoSciences https://www.facebook.com/groups/204310640474650 https://www.linkedin.com/groups/10048467/ Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: ? https://acdl2026.icas.events * Apologies for multiple copies. Please forward to anybody who might be interested, thanks * #MachineLearning #AI #SummerSchool #Research #DeepLearning #DataScience -------------- next part -------------- An HTML attachment was scrubbed... URL: From computational-design at dei.uc.pt Tue May 5 05:14:39 2026 From: computational-design at dei.uc.pt (Workshop on Computational Design and Computer-Aided Creativity) Date: Tue, 5 May 2026 10:14:39 +0100 Subject: Connectionists: Call for Papers: 2nd Workshop on Computational Design & Computer-Aided Creativity (ICCC 2026) Message-ID: Dear Colleagues, Below you will find the Call for Papers for the Second International Workshop on Computational Design and Computer-aided Creativity. Feel free to distribute this to colleagues or fellow researchers who might be interested in participating or contributing to the conference. We would greatly appreciate it if you could share this call with interested colleagues and networks. For detailed information and other important dates, please visit our workshop website: https://computationalcreativity.net/workshops/computational-design-iccc26/ Best regards, Jo?o M. Cunha, University of Coimbra, PT S?rgio M. Rebelo, University of Coimbra, PT Jason Reizner, IU International University of Applied Sciences, DE Moritz Schwind, University of Applied Sciences in Nuremberg, DE Provides NG, UCL Bartlett School of Architecture & Chinese University of Hong Kong, CN Tiago Martins, University of Coimbra, PT Vivian Liu, Columbia University, USA ------------------------------------------------ Call for papers for the Second International Workshop on Computational Design and Computer-aided Creativity ? Please distribute ? Apologies for cross-posting ------------------------------------------------ The second international Workshop on Computational Design and Computer-Aided Creativity will take place in June 2026, co-located with the International Conference on Computational Creativity (ICCC 2026). The workshop will be held in a hybrid format, with both in-person and online participation (free of charge). This workshop focuses on the dissemination and discussion of work in computational design, computer-aided creativity, and creativity support tools. It explores systematic, algorithmic approaches to creating design artefacts, enabling designers to move beyond the constraints of conventional computer-aided design tools. These approaches often involve developing custom software, automating processes, and expanding the range of possible forms and solutions. By shifting the computer?s role from a production tool to an active partner in conception, computational design supports more dynamic, iterative, and exploratory creative practices. This workshop focuses on the intersection of computational creativity and design, bringing together researchers and practitioners interested in how computational systems can support, enhance, or autonomously perform design processes across domains. We welcome contributions on topics including (but not limited to): ? Novel algorithms, methods, and tasks: Development of computational approaches for creative representation (e.g., methods for representing, describing, and manipulating design artefacts), conception (e.g., partial or full automation of the creation process), assistance (e.g., expert computational methods to support design practices), and evaluation (e.g., techniques, metrics, and frameworks for assessing artefacts and processes), as well as related tasks such as visualization and validation. ? Enhancing and extending existing tools: Advancements in computational approaches within computer-aided design tools, including both intended functionalities (e.g., scripting in proprietary software) and the exploration of limitations or emergent behaviours. This also includes extending existing computational design approaches through customisation, contextual adaptation, and the meta-creation of new design tools. ? Integrating theory and practice: Comparative studies of computational and conventional design practices; critical analyses of state-of-the-art methods; applications of computational design in research through design (RtD) contexts; and investigations into commercial integration models. ? Challenges, impact, and opportunities: Discussions on the benefits and limitations of computational design across creative domains, its influence on design processes, professional roles, and creative outcomes, and its broader cultural, economic, social, political, and ecological implications, as well as emerging directions in design practice. We invite submissions of papers (6-20 pages, including references), pictorials (up to 6-8 pages, including references), and "Show and Tell" papers (presentations of previously published work). All submissions will undergo a peer review process. For more information, including submission guidelines and important dates, please visit: https://computationalcreativity.net/workshops/computational-design-iccc26/ The submission deadline is 20 May 2026. Workshop articles will be submitted for publication in CEUR-WS. Last year proceedings: https://ceur-ws.org/Vol-4156/ Organising Committee Jo?o M. Cunha, University of Coimbra, PT S?rgio M. Rebelo, University of Coimbra, PT Jason Reizner, IU International University of Applied Sciences, DE Moritz Schwind, University of Applied Sciences in Nuremberg, DE Provides NG, UCL Bartlett School of Architecture & Chinese University of Hong Kong, CN Tiago Martins, University of Coimbra, PT Vivian Liu, Columbia University, USA From dhansel0 at gmail.com Tue May 5 12:34:53 2026 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 5 May 2026 19:34:53 +0300 Subject: Connectionists: REMINDER: World wide VVTNS series (6th season): Weak, weird, coordinated: functional transient oscillations | Wednesday, May 6, 2026, at 11:00 am ET - Demian Battaglia, CNRS, Strasbourg, France 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 Demian Battaglia CNRS, Strasbourg on the topic of Weak, weird, coordinated: functional transient oscillations without a metronome The lecture will be held on zoom on May 6, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Neural oscillations are often proposed to support brain computation by routing information, organizing cell assemblies, or shaping coding dynamics. Yet these ideas usually assume rhythms that are strong, sustained, and regular, whereas in vivo oscillations are often weak, transient, noisy, and variable in frequency and phase. In this talk, I will argue that such ?no-metronome? oscillations are not just noisy fluctuations, but coordinated complex dynamics with functional consequences. Combining analyses of neural activity recordings during actual behavior (mice and non-human-primate LFPs and human EEG) with computational modelling, I will discuss evidence that transient oscillatory events can carry task-relevant information and support flexible communication through spatiotemporally structured relationships across populations, timescales, and frequencies. Together, these results suggest that oscillatory weakness and weirdness are not just imperfections, noise to average-out, but part of the functional repertoire of neural computation. *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 May 6 03:29:25 2026 From: announce at ucy.ac.cy (Announce) Date: Wed, 6 May 2026 07:29:25 +0000 Subject: Connectionists: The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): Call for Participation Message-ID: *** Call for Participation *** The Annual ACM Conference on Intelligent User Interfaces (IUI 2026) July 13-16, 2026, 5* St. Raphael Resort & Marina, Limassol, Cyprus https://iui.hosting.acm.org/2026/ (*** Standard Registration Fee Deadline: June 30, 2026 ***) The 2026 ACM Conference on Intelligent User Interfaces (ACM IUI) is the annual premier venue, where researchers and practitioners meet and discuss state-of-the-art advances at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). Ideal IUI submissions should address practical HCI challenges using machine intelligence and discuss both computational and human-centric aspects of such methodologies, techniques and systems. This year we had a record number of submissions, so we have a record number of accepted papers (114), a record number of posters and demos (53) and we hope for a record number of participants. Furthermore, we have 8 workshops and 6 tutorials. Finally, the technical program will feature two keynotes, by Antonio Kruger on the role of HCI in trusted A.I. and Pattie Maes on designing A.I. interaction for human flourishing. The detailed program of IUI 2026 can be found on the conference website: https://iui.acm.org/2026/program/ . The standard fee registration deadline is on June 30th and the registration page is: https://iui.acm.org/2026/registration/ We are looking forward to meeting everybody in Limassol. 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 Program Chairs ? Li Chen, Hong Kong Baptist University, China ? Giulio Jacucci, University of Helsinki, Finland ? Alison Renner, Dataminr, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From serafeim.perdikis at essex.ac.uk Wed May 6 08:51:40 2026 From: serafeim.perdikis at essex.ac.uk (Perdikis, Serafeim) Date: Wed, 6 May 2026 12:51:40 +0000 Subject: Connectionists: =?windows-1252?q?Essex_BCI-NE_webinar=3A_The_Graz?= =?windows-1252?q?_BCI_for_communication_and_control_by_Prof=2E_Dr=2E_Gern?= =?windows-1252?q?ot_M=FCller-Putz?= In-Reply-To: References: Message-ID: https://www.linkedin.com/company/essex-bcine-lab/ The Essex BCI-NE Lab invites you to join our next monthly webinar: The Graz BCI for communication and control: Milestone projects, boundaries in BCIs and chances Delivered by Prof. Dr. Gernot M?ller-Putz Laboratory of Brain-Computer Interfaces, Institute of Neural Engineering, Graz University of Technology, Austria The webinar will take place over Zoom on Wednesday, 13th May 2026, at 2 PM UK time RSVP: https://www.linkedin.com/events/7457771094427475968 Abstract: This talk presents the state of the art in Graz BCI research, highlighting results from past and ongoing projects focused on control and communication. Prof. Dr. Gernot M?ller-Putz will discuss recent advances in BCIs for people with spinal cord injury and amyotrophic lateral sclerosis, illustrating both clinical and translational progress. The talk will conclude with an outlook on future directions, including anticipated developments, current limitations, and emerging opportunities. Speaker Biography: Prof. Dr. Gernot M?ller-Putz is head of the Institute of Neural Engineering and its associated Laboratory of Brain-Computer Interfaces. He received his MSc in electrical and biomedical engineering in 2000, his PhD in electrical engineering in 2004 and his habilitation and ?venia docendi? in medical informatics from Graz University of Technology in 2008. Since 2014 he is full professor for semantic data analysis. He has gained extensive experience in the field of biosignal analysis, brain-computer interface research, EEG-based neuroprosthesis control, communication with BCI in patients with disorders of consciousness, hybrid BCI systems, the human somatosensory system, and BCIs in assistive technology over the past 27 years. He has also managed several national projects (State of Styria) and international projects (Wings for Life, EU Projects) and recently coordinated the EU Horizon 2020 project MoreGrasp. Furthermore, he organized and hosted seven international Brain-Computer Interface Conferences over the last 25 years in Graz, the next one (10th GBCIC) in Sept. 2026. In 2014/15 he was Guest editor in chief of a special issue of the Proceedings if the IEEE ?The Plurality of Human Brain-Computer Interfacing?. Since August 2019 he is Specialty Editor in Chief of Frontiers in Human Neuroscience: Brain-Computer Interfaces. He is Associate Editor of IEEE Reviews in Biomedical Engineering. He has authored more than 215+ peer reviewed publications and more than 210+ contributions to conferences which were cited more than 30900 times (h-index 83). In 2015, he was awarded with an ERC Consolidator Grant ?Feel your Reach? from the European Research Council. In May 2017 he received the Ludwig-Guttman Award from the German Medical Spinal Cord Injury Association (DMGP). From 2018 he part of the Board of Directors of the International Brain-Computer Interface Society and served as Treasurer until June 2025. In May 2019 he received a research award from the State of Styria "Digitalisierung in der Wissenschaft". He is founding member and scientific Co-Director of the NeuroIS Society. Since 2024 he is board member of the Austrian Society for Biomedical Engineering. With October 2023 he was elected to be the Dean of the Faculty of Computer Science & Biomedical Engineering. In autumn 2025 he was elected Fellow of the International Academy of Medical and Biological Engineering. The Essex BCI-NE Lab webinars series takes place monthly (usually, on the second or third Wednesday of the month) over Zoom and is open to all. Speakers are invited to talk about their research for 45-50 minutes followed by Q&A. Where speakers allow it, we record the talks and make them available to everyone on our YouTube channel. You can watch previous talks at: https://www.youtube.com/@essexbcis If you don?t want to miss our next webinars, please email serafeim.perdikis at essex.ac.uk to ask to be added to our webinars mailing list. Best wishes, Simis Dr Serafeim Perdikis, Associate Professor (Senior Lecturer) Brain-Computer Interfaces and Neural Engineering Laboratory School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park, Colchester CO4 3SQ United Kingdom -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: BCINEGernot.png Type: image/png Size: 334795 bytes Desc: BCINEGernot.png URL: From uai.socials at gmail.com Wed May 6 18:04:22 2026 From: uai.socials at gmail.com (UAI Social Media) Date: Wed, 6 May 2026 17:04:22 -0500 Subject: Connectionists: Deadline extension: UAI 2026 Call for Tutorials Message-ID: Hi all, We invite proposals for Tutorials at the 42nd Conference on Uncertainty in Artificial Intelligence (UAI 2026). UAI 2026 will take place in Amsterdam, Netherlands from August 17th to August 21st, 2026. Tutorials will be held in person on August 17th, 2026. Tutorial proposals should be submitted by April 30th May 8th, 2026 EoD AoE, via the linked form . Tutorials will be in-person and have a duration of either 1.5 (short) or 3 hours (long), including time for questions. Each short tutorial can be done by at most two presenters and long ones can have at most three presenters. Tutorials should be tailored to the broader UAI audience and as such be accessible, while providing sufficient rigor and technical depth. Tutorial proposals should be no more than 3 pages (excluding references), submitted in PDF format and should include the following: 1. Title and abstract 2. Duration: 1.5 hrs or 3 hrs. 3. Description and outline: What will the tutorial be about? What material will the tutorial cover and in what depth? Please provide a detailed outline of the topics to be presented, including estimates for the time that will be devoted to each subject. You may also indicate if you plan to have any practical, hands-on components. In case of multiple presenters, specify how you will distribute the work. 4. Goals: What are the objectives and the expected learning outcomes of the tutorial? What is the benefit to attendees? 5. Target audience: From which areas do you expect potential participants to come? What prior knowledge do you expect from the audience? 6. Presenters: Please include the name, e-mail address, institution and webpage (if relevant) of all presenters, and describe the presenters' expertise in the tutorial area. Optional but helpful: Emphasize teaching or other tutorial experience, and/or include links to past presentations. We especially encourage proposals from groups that represent the diversity in our community. Note that tutorials will be in-person, and presenters must commit to attending UAI. Reviewing and notification: Tutorial proposals will be reviewed and selected by the UAI 2026 Tutorial Chairs based on relevance and timeliness of the proposed topics, clarity of presentation, expected impact on the community, experience of the presenters and balance across topics and presenters. Notification of acceptance will be issued on the 21st of May. Tutorial Chairs, UAI 2026 Antonio Vergari and Julius von K?gelgen uai2026chairs+tutorial at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From serafeim.perdikis at essex.ac.uk Wed May 6 08:51:40 2026 From: serafeim.perdikis at essex.ac.uk (Perdikis, Serafeim) Date: Wed, 6 May 2026 12:51:40 +0000 Subject: Connectionists: =?windows-1252?q?Essex_BCI-NE_webinar=3A_The_Graz?= =?windows-1252?q?_BCI_for_communication_and_control_by_Prof=2E_Dr=2E_Gern?= =?windows-1252?q?ot_M=FCller-Putz?= In-Reply-To: References: Message-ID: https://www.linkedin.com/company/essex-bcine-lab/ The Essex BCI-NE Lab invites you to join our next monthly webinar: The Graz BCI for communication and control: Milestone projects, boundaries in BCIs and chances Delivered by Prof. Dr. Gernot M?ller-Putz Laboratory of Brain-Computer Interfaces, Institute of Neural Engineering, Graz University of Technology, Austria The webinar will take place over Zoom on Wednesday, 13th May 2026, at 2 PM UK time RSVP: https://www.linkedin.com/events/7457771094427475968 Abstract: This talk presents the state of the art in Graz BCI research, highlighting results from past and ongoing projects focused on control and communication. Prof. Dr. Gernot M?ller-Putz will discuss recent advances in BCIs for people with spinal cord injury and amyotrophic lateral sclerosis, illustrating both clinical and translational progress. The talk will conclude with an outlook on future directions, including anticipated developments, current limitations, and emerging opportunities. Speaker Biography: Prof. Dr. Gernot M?ller-Putz is head of the Institute of Neural Engineering and its associated Laboratory of Brain-Computer Interfaces. He received his MSc in electrical and biomedical engineering in 2000, his PhD in electrical engineering in 2004 and his habilitation and ?venia docendi? in medical informatics from Graz University of Technology in 2008. Since 2014 he is full professor for semantic data analysis. He has gained extensive experience in the field of biosignal analysis, brain-computer interface research, EEG-based neuroprosthesis control, communication with BCI in patients with disorders of consciousness, hybrid BCI systems, the human somatosensory system, and BCIs in assistive technology over the past 27 years. He has also managed several national projects (State of Styria) and international projects (Wings for Life, EU Projects) and recently coordinated the EU Horizon 2020 project MoreGrasp. Furthermore, he organized and hosted seven international Brain-Computer Interface Conferences over the last 25 years in Graz, the next one (10th GBCIC) in Sept. 2026. In 2014/15 he was Guest editor in chief of a special issue of the Proceedings if the IEEE ?The Plurality of Human Brain-Computer Interfacing?. Since August 2019 he is Specialty Editor in Chief of Frontiers in Human Neuroscience: Brain-Computer Interfaces. He is Associate Editor of IEEE Reviews in Biomedical Engineering. He has authored more than 215+ peer reviewed publications and more than 210+ contributions to conferences which were cited more than 30900 times (h-index 83). In 2015, he was awarded with an ERC Consolidator Grant ?Feel your Reach? from the European Research Council. In May 2017 he received the Ludwig-Guttman Award from the German Medical Spinal Cord Injury Association (DMGP). From 2018 he part of the Board of Directors of the International Brain-Computer Interface Society and served as Treasurer until June 2025. In May 2019 he received a research award from the State of Styria "Digitalisierung in der Wissenschaft". He is founding member and scientific Co-Director of the NeuroIS Society. Since 2024 he is board member of the Austrian Society for Biomedical Engineering. With October 2023 he was elected to be the Dean of the Faculty of Computer Science & Biomedical Engineering. In autumn 2025 he was elected Fellow of the International Academy of Medical and Biological Engineering. The Essex BCI-NE Lab webinars series takes place monthly (usually, on the second or third Wednesday of the month) over Zoom and is open to all. Speakers are invited to talk about their research for 45-50 minutes followed by Q&A. Where speakers allow it, we record the talks and make them available to everyone on our YouTube channel. You can watch previous talks at: https://www.youtube.com/@essexbcis If you don?t want to miss our next webinars, please email serafeim.perdikis at essex.ac.uk to ask to be added to our webinars mailing list. Best wishes, Simis Dr Serafeim Perdikis, Associate Professor (Senior Lecturer) Brain-Computer Interfaces and Neural Engineering Laboratory School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park, Colchester CO4 3SQ United Kingdom -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: BCINEGernot.png Type: image/png Size: 334795 bytes Desc: BCINEGernot.png URL: From augenstein at di.ku.dk Thu May 7 02:05:54 2026 From: augenstein at di.ku.dk (Isabelle Augenstein) Date: Thu, 7 May 2026 06:05:54 +0000 Subject: Connectionists: PhD and postdoc positions on Explainable AI at University of Copenhagen, start in Autumn 2026 Message-ID: <06D1B2F2-397E-49D9-B01A-61C97469E912@ku.dk> Would you like to join our lab as a PhD student or postdoc in autumn 2026? We have openings on a new project titled ?A Mechanistic Framework for Mitigating the Susceptibility of LLMs to Learning False Information? funded by the Independent Research Foundation Denmark, led by Isabelle Augenstein and Pepa Atanasova. The project goal?s will be to develop a novel theoretical frameworks for LLM security, new mechanistic interpretability methods, and new evaluation protocols, developed through research at the intersection of Natural Language Processing, LLM Security, and Explainable AI. In addition to the PIs, the postdoc and PhD student, the project also offers the opportunity to apply as an academic collaborator with NVIDIA as part of an existing relationship. Read more about reasons to join CopeNLU here. PhD position The PhD position is fully funded for three years and open to candidates with a Master?s degree or equivalent in Computer Science or a related field. The PhD student?s research is expected to focus on researching mechanistic interpretability methods to curb the effects of false information attacks on LLMs at different stages of the model lifecycle. The ideal candidate would thus have an educational background, prior research or work experience in ML or NLP. The PhD student will be supervised by Isabelle Augenstein and co-supervised by Pepa Atanasova, and also collaborate with the larger project team. Read more about the position and apply here by 31 May 2026 to be considered. The start date is September 2026 or as soon as possible thereafter. Postdoc position The postdoc position is also offered for three years and open to candidates with a PhD degree in Computer Science or another relevant field. The postdoc?s duties will be to characterise the spectrum of false information used by LLMs at different stages of their life cycle, in order to develop mitigation methods and prevent false information attacks on LLMs. The ideal candidate would thus have an educational background, prior research or work experience on Natural Language Processing, LLM Security, and/or Explainable AI. The postdoc will work with Isabelle Augenstein and Pepa Atanasova, and also collaborate with the larger project team. Read more about the position and apply here by 31 May 2026 to be considered. The start date is September 2026 or as soon as possible thereafter. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Deputy Head of Department for Research Department of Computer Science University of Copenhagen ?stervold Observatory ?ster Voldgade 3 1350 Copenhagen augenstein at di.ku.dk http://isabelleaugenstein.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From vincenzo.pasquadibisceglie at uniba.it Thu May 7 10:58:06 2026 From: vincenzo.pasquadibisceglie at uniba.it (Vincenzo Pasquadibisceglie) Date: Thu, 7 May 2026 16:58:06 +0200 Subject: Connectionists: CFP: DEARING 2026 - 3rd International Workshop on Data-Centric Artificial Intelligence at ECML PKDD 2026 Message-ID: CFP: DEARING 2026 - 3rd International Workshop on Data-Centric Artificial Intelligence at ECML PKDD 2026 Workshop date: September 11, 2026. Artificial Intelligence (AI) has historically relied on two components: data and algorithms. However, the conventional model-centric AI paradigm has historically prioritized algorithms, often treating data as static entities. Typically, data is initially collected, pre-processed, and held fixed, with a significant portion of development efforts dedicated to optimizing learned models. This conventional approach has led to the creation of increasingly intricate and opaque models, necessitating substantial training data. In contrast, the emerging data-centric AI paradigm is dedicated to systematically and algorithmically generating optimal data to feed Machine Learning (ML) models. The primary objective of data-centric AI approaches is to consistently enhance data quality, thereby achieving a level of model accuracy that was previously considered unattainable through model-centric techniques alone. This workshop aims to explore the transformative impact of recent advancements in the data-centric AI paradigm on the future of AI and ML. It serves as a platform for in-depth discussions and the exchange of scientific contributions, recent achievements, and open challenges. Workshop topics: We welcome submissions that explore the opportunities, perspectives, and research directions within the data-centric AI paradigm. Potential topics include, but are not limited to: - High-quality data preparation: - Data cleaning, denoising, and interpolation - Novel feature engineering pipelines - Label Errors and Confident Learning (CL) ? Selecting features and/or instances - Performing outlier detection and removal - Ensuring label consensus - Producing consistent and low-noise training data - Extracting smart data from raw data - Creating training datasets for small data problems - Handling rare classes and explaining important class coverage in big data problems - Incorporating human feedback into training datasets - Generating high-quality synthetic data - Combining multi-view, multi-source, multi-objective datasets Data-centric ML and Deep Learning approaches: - Active learning to identify the most valuable examples to label - Core-set learning to handle big data - Semi-supervised learning, few-shot learning, weak supervision, confident learning to take advantage of the limited amount of labels or handle label noise - Transfer learning and self-supervised learning algorithms to achieve rich data representations to be used with scarceness of labels - Concept drift detection and management Adversarial learning to improve robustness and resilience Responsible and Ethical AI: - Ensuring fairness, bias, ethics, and diversity - Green AI design and evaluation - Scalable and reliable training - Privacy-preserving and secure learning - Reproducibility of AI Data benchmark creation: - Creating licensed datasets based on public resources - Creating high-quality data from low-quality resources Data-centric Explainable AI: - Novel XAI methods to identify possible data issues in the learning stage - XAI methods to generate features for machine learning problems - Applications of novel data-centric AI solutions: - Healthcare and Medical Applications: Ensuring data diversity and generating realistic patient data without exposing sensitive information - Autonomous Vehicles and Smart Cities: Simulating representative scenarios for software testing - Cybersecurity and Fraud Detection: Detecting, exploring, or generating rare/edge cases and patterns for machine learning robustness - Manufacturing and Industrial Applications: Ensuring coverage in equipment failures for stress testing - Facial Recognition and Biometrics: Increasing diversity in images to reduce bias - Legal and Military Applications: Fostering data quality for fair and explainable systems Website https://dearing-workshop.github.io/#/landing Submission Guidelines The CMT submission portal is open. Direct link: https://cmt3.research.microsoft.com/ECMLPKDDWT2026/Track/28/Submission/Create Submission link https://cmt3.research.microsoft.com/ECMLPKDDWT2026/Track/28/Submission/Create Workshop paper submission deadline 05-06-2026 Camera ready submission 10-07-2026 Accepted Formats Regular research papers with 12 to 16 pages including references. Short research papers of at most 6 pages including references, aiming at fostering discussion and collaboration (e.g. outlining new researching ideas). Requirements PDF submission via Microsoft CMT. English language, conference template required. Springer LNCS style. Templates: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines Organizers Donato Malerba - University of Bari Aldo Moro, Italy Vincenzo Pasquadibisceglie - University of Bari Aldo Moro, Italy Mara Sangiovanni - University Federico II of Naples, Italy Miriam Seoane Santos - University of Porto, Portugal Ricardo Cardoso Pereira - University of Coimbra, Portugal From giuseppe.guarino at inrae.fr Thu May 7 10:10:23 2026 From: giuseppe.guarino at inrae.fr (Giuseppe Guarino) Date: Thu, 7 May 2026 14:10:23 +0000 Subject: Connectionists: [Conferences] MACLEAN Workshop at ECML PKDD 2026 Message-ID: <76BAE97C-0837-49D4-BE4F-BACEF7B2C852@inrae.fr> MACLEAN: MAChine Learning for EArth ObservatioN Conference dates: September, 7-11 2026 Location: Naples, Italy Best paper prize sponsored by ESA KEY DATES * Paper submission deadline: June 14, 2026 * Paper acceptance notification: July 14, 2026 * Paper camera-ready deadline: July 30, 2026 CONTEXT The huge amount of data currently produced by modern Earth Observation (EO) missions has raised up new challenges for the Remote Sensing communities. EO sensors are now able to offer (very) high spatial resolution images with revisit time frequencies never achieved before considering different kind of signals, e.g., multi-(hyper)spectral optical, radar, LiDAR and Digital Surface Models. In this context, modern machine learning techniques can play a crucial role to deal with such amount of heterogeneous, multi-scale and multi-modal data. Some examples of techniques that are gaining attention in this domain include deep learning, domain adaptation, semi-supervised approach, time series analysis and active learning. Even though the use of machine learning and the development of ad-hoc techniques are gaining increasing popularity in the EO domain, we can witness that a significant lack of interaction between domain experts and machine learning researchers still exists. The objective of this workshop is to supply an international forum where machine learning researchers and domain-experts can meet each other, in order to exchange, debate and draw short and long term research objectives around the exploitation and analysis of EO data via Machine Learning techniques. Among the workshop?s objectives, we want to give an overview of the current machine learning researches dealing with EO data, and, on the other hand, we want to stimulate concrete discussions to pave the way to new machine learning frameworks especially tailored to deal with such data. TOPICS * Supervised Classification of Multi(Hyper)-spectral data * Supervised Classification of Satellite Image Time Series data * Unsupervised Learning of EO Data * Deep Learning approaches to deal with EO Data * Machine Learning approaches for the analysis of multi-scale EO Data * Machine Learning approaches for the analysis of multi-source EO Data * Semi-supervised classification approaches for EO Data * Active learning for EO Data * Transfer Learning and Domain Adaptation for EO Data * Interpretability and explainability of machine learning methods in the context of EO data analysis * Bayesian machine learning for EO Data * Dimensionality Reduction and Feature Selection for EO Data * Graphicals models for EO Data * Structured output learning for EO Data * Multiple instance learning for EO Data * Multi-task learning for EO Data * Online learning for EO Data * Embedding and Latent factor for EO Data * Foundation Models for Earth Observation * Multi-Modal approaches for EO Data * Self-supervised learning for EO Data INVITED SPEAKERS: * Dr. Valerio Marsocci - Research fellow at ESA PhiLab SUBMISSION We welcome original contributions, either theoretical or empirical, describing ongoing projects or completed work. Contributions can be of two types: either short position papers (up to 6 pages including references) or full research papers (up to 10 pages including references). Papers must be written in LNCS format, i.e., accordingly to the ECML-PKDD 2026 submission format. Accepted contributions will be made available electronically through the Workshop web page. Post-proceedings will be also published at the CCIS (Communications in Computer and Information Science) series. WORKSHOP WEBSITE: https://sites.google.com/view/maclean26 SUBMISSION WEBSITE: https://cmt3.research.microsoft.com/ECMLPKDDWT2026/Track/10/Submission/Create PC-CHAIRS * Thomas Corpetti, CNRS, LETG-Rennes COSTEL UMR 6554 CNRS, Rennes, France, thomas.corpetti at cnrs.fr * Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato at cirad.fr * C?ssio Fraga Dantas, INRAE, UMR Tetis, Montpellier, France, cassio.fraga-dantas at inrae.fr * Giuseppe Guarino, INRAE, UMR Tetis, Montpellier, France, giuseppe.guarino at inrae.fr * Minh-Tan Pham, Univ. Bretagne-Sud, UMR 6074, IRISA, Vannes, France, minh-tan.pham at irisa.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Thu May 7 19:00:19 2026 From: nsmattei at gmail.com (Nicholas Mattei) Date: Thu, 7 May 2026 18:00:19 -0500 Subject: Connectionists: 2nd Call for Papers and Deadline Extension: Workshop on Social Choice and Learning Algorithms at IJCAI 2026 Message-ID: 2nd Call for Papers and Deadline Extension: Workshop on Social Choice and Learning Algorithms at IJCAI 2026 We are delighted to announce that the 3rd Workshop on Social Choice and Learning Algorithms (SCaLA-26) will take place at IJCAI during August 2026 in Bremen, Germany. It will feature technical sessions, a keynote speaker, and opportunities to forge collaborations between researchers working in social choice and those working in machine learning. The website and submission instructions can be found at the following link: https://sites.google.com/view/scala26 The submission deadline is May 8, 2026 May 15th. We encourage submissions of fully developed research projects, or extended abstracts representing preliminary explorations of novel ideas. Submissions should include components from both fields of social choice and machine learning (or closely related topics). Topics of interest include (but not limited to): - Computational social choice - Fair Division - Matching - Voting theory - Sortition - Clustering - Ensemble learning - Explainable ML - Language models - Learning preferences - PAC-learning Examples of interesting connections between these topics include, but are not at all limited to: - Using machine learning to learn new mechanisms for matching - Novel uses of social choice for ensemble learning - Exploring the application of fair division concepts to clustering problems, or vice-versa - Applying multi-winner voting concepts to multi-class classification tasks Organizing Committee Ben Armstrong Saar Cohen Nicholas Mattei Zoi Terzopoulou -- *Nicholas Mattei* Associate Professor, Tulane University Co-Director, Tulane Center For Community Engaged AI Co-Author, Computing and Technology Ethics: Engaging through Science Fiction nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 305B +1 504 247 1416 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Fri May 8 08:42:49 2026 From: suashdeb at gmail.com (Suash Deb) Date: Fri, 8 May 2026 18:12:49 +0530 Subject: Connectionists: ISCMI26 (Vienna) -Submission deadline 1 month away Message-ID: Dear Esteemed Colleagues, This is to bring to your attention that the paper submission deadline of ISCMI 2026, the 13th edition of the annual flagship event of IICCI http://www.iicci.in/ & technically sponsored by IEEE Austria Section. The deadline for submission of manuscripts of the above is 1 month away https://www.iscmi.us/ I solicit your support in sharing this info among the peers in your network and motivate them to submit their manuscripts for this conference. Will look forward to receiving quality manuscripts from your peers in the coming days. Thanks very much in advance and with kind rgds, Suash Suash Deb General Chair, ISCMI 2026 -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Sat May 9 20:20:09 2026 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Sun, 10 May 2026 03:20:09 +0300 Subject: Connectionists: CCSS (Co-Sponsored by IEEE): The International Conference on Cybersecurity Systems, 27-30 October 2026 | Paris, France Message-ID: [Apologies if you got multiple copies of this invitation] 2026 International Conference on Cybersecurity Systems (CCSS 2026) https://css-conference.org/2026/ 27-30 October 2026 | Paris, France Hybrid Event and Technically Co-Sponsored by IEEE France Section *CCSS 2026 CFP:* The International Conference on Cybersecurity Systems (CCSS 2026) is a lively and inclusive gathering where researchers, academics, and industry professionals from across the globe come together to explore the latest advancements in Cybersecurity Systems and intelligent systems. Cybersecurity Systems received a lot of attention as AI continues to reshape industries and push the boundaries of what?s possible. CSS 2026 creates a welcoming space for innovation, collaboration, and the exchange of ideas in the Cybersecurity domain. CCSS 2026 serves as a premier platform for researchers, academics, and industry professionals to converge and explore the latest advancements, challenges, and applications in the dynamic fields of Cybersecurity Models and Systems. The conference provides a collaborative environment for the exchange of ideas, fostering innovation and promoting interdisciplinary research at the intersection of these transformative domains. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to: ? Network and Internet Systems Security ? Information and Data Security ? Cybersecurity Applications ? Cryptography and Encryption ? Identity & Access Management (IAM) ? Cloud and Edge Security ? Cybersecurity in Healthcare ? Cybersecurity in Internet of Things (IoT) systems ? Digital Forensics Systems ? Federated Learning Systems ? Risk Management & Governance ? Edge and Distributed AI Security ? Cybersecurity Ethics and Governance ? AI and Cybersecurity ? Cybersecurity and Smart Cities ? Cybersecurity and Quantum Computing ? Threat Detection & Incident Response ? Cybersecurity in Emerging Technologies *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the CCSS Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. *Important Dates:* - Paper Submission: *July 5, 2026* - Notification to Authors: August 30, 2026 - Camera Ready Submission: September 15, 2026 *Contact:* Please send any inquiry on CCSS to : info at css-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From lisa.grunau at rub.de Mon May 11 03:00:32 2026 From: lisa.grunau at rub.de (Lisa G) Date: Mon, 11 May 2026 09:00:32 +0200 Subject: Connectionists: Hiring Postdoctoral Fellow in Computational Neuroscience at RUB In-Reply-To: <8038b6d4-2635-49cf-9b15-3f9cd7405ea6@rub.de> References: <8038b6d4-2635-49cf-9b15-3f9cd7405ea6@rub.de> Message-ID: Dear all, from the *Faculty of Computer Science, Neuroinformatics, Computational Neuroscience at Ruhr-Universit?t Bochum.* In order to fill a fixed-term position in full-time (39.83 hours/week = 100%) 01.11.2026, we are looking for one *Postdoctoral Fellow (m,f,x) in Computational Neuroscience (SFB 1280) *starting 01.11.2026. Please follow the link to the job posting for more information. https://jobs.ruhr-uni-bochum.de/jobposting/b81cacbb31ca4a82e41631d1529f1ba6889ff4e10?ref=homepage Kind regards, -- Lisa Grunau Teamassistenz Fakult?t f?r Informatik Institut f?r Neuroinformatik Ruhr-Universit?t Bochum Postanschrift: Universit?tsstra?e 150 44801 Bochum, Germany Phone: +49 234-32-18137 Email:lisa.grunau at rub.de Office: NB 3/74 Website:https://www.ini.rub.de/research/groups/computational_neuroscience -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun May 10 06:36:41 2026 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 10 May 2026 17:36:41 +0700 Subject: Connectionists: World wide VVTNS series (6th season): Mean-field dynamics in networks with clustered connectivity and dendritic nonlinearities | Gabriel Ocker, Boston University | Wednesday, May 13, 2026, at 11:00 am ET 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 Gabriel Ocker Boston University on the topic of Mean-field dynamics in networks with clustered connectivity and dendritic nonlinearities The lecture will be held on Zoom on May 13, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Networks of interconnected neurons display diverse patterns of activity. Relating these patterns to the structure of the network is a central goal of theoretical neuroscience. Classic neural field and rate models have been powerful tools for this purpose due to their analytical tractability. Here, we show that the recently-developed combinatorial threshold-linear network (CTLN) model is a mean-field theory for excitatory-inhibitory Hawkes networks, with clustered connectivity, in an inhibition-stabilized regime. This mapping allows us to leverage powerful analytical results for CTLN networks to predict diverse macroscopic dynamics of clustered Hawkes networks, including metastability between various macroscopic fixed points, limit cycles, and chaotic attractors. We will then examine an extension of this approach to models with nonlinear dendritic dynamics, focusing on dendritic calcium spikes.We uncover a marked point process mean-field theory for these networks and use this to examine how somatic vs dendritic-targeting connectivity shapes the mean-field equilibrium phase diagram. *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 icaitemspisa at gmail.com Mon May 11 03:47:15 2026 From: icaitemspisa at gmail.com (ICAI TEMS 26 PISA) Date: Mon, 11 May 2026 09:47:15 +0200 Subject: Connectionists: CfP IEEE ICAI-TEMS 2026 | IEEE and Scopus indexed | Abstract Submission Deadline: May 17, 2026 Message-ID: *Dear colleague,We invite you to submit your original contribution to the 2nd edition of the IEEE International Conference on Application of Information Technologies in Engineering, Management and Science (ICAI TEMS 2026). ICAI-TEMS 2026 welcomes original research regarding concepts, theories, and applications of cutting-edge information technologies across engineering disciplines, technology management, and science. The conference aims at bridging the gap between theoretical advancements of information technologies and real-world application requirements.Topics of the general track cover (but are not limited to): - Information Technology for Sustainability- Strategic Application of Emerging Technologies- Digital Ecosystems for Circular Economy- High-Performance Computing Architecture- Emerging IoT and Distributed System Architectures- Sustainable Manufacturing Operations- Digital Geoscience and Geo-engineering Applications- Energy Management Systems- Digital Transformation Strategies and Frameworks in Engineering and Science- Artificial Intelligence, Cognitive Computing, and Data-Driven Decision Systems- Cyber-Physical Systems, Digital Twins, and Intelligent Automation- Blockchain and Secure Distributed Architectures for Industrial Applications- AI-Based Risk Assessment for Infrastructure Resilience Management- Digital Traceability and Sustainable Supply Chain Optimization- Human?Machine Interaction and Human-Centric Socio-Technical Systems- Data Governance and Strategic Information Management- Regulatory, Ethical, and Inclusive Dimensions of Digital Innovation- Performance and Decision Support Systems for Complex Infrastructures- ICT for Smart Healthcare Systems and Digital Hospitals- Healthcare Operations Management and Digital Process OptimizationSUBMISSION INFO AND IMPORTANT DATES - Abstract Submission: May 17, 2026- Full Paper Submission: Aug 1, 2026- Notification of Acceptance: Sep 1, 2026- Camera-Ready Submission: Sep 15, 2026- Conference: 10-13 Nov 2026All the accepted papers will be indexed in citation databases like IEEE Xplore Digital Library and Scopus. Submission guidelines, conference tracks, and additional details for authors are available at link OTHER INFOKeynote speakers, companies workshop and other informations about the conference program Discover More Conference General Chairs: - Prof. Mario G.C.A. Cimino, General Chair (University of Pisa, Italy)- Prof. Sudip Chakraborty, General Chair (University of Calabria, Italy)Conference Technical Program Chairs: - Prof. Antonio Luca Alfeo, Technical Program Chair (eCampus University, Italy)- Dr Esteban Garz?n, Technical Program Co-Chair (University of Calabria, Italy)- Prof. Davide Aloini, Technical Program Co-Chair (University of Pisa, Italy)For full organizing committee, please visit our website The conference will be hosted in the historical heart of Pisa, Italy. More info here For any other questions, feel free to contact the organizing committee at icai.tems.eu at gmail.com .We look forward to your contribution.Best regards,Pietro Calabrese, Publicity Chair, IEEE ICAI-TEMS 2026* -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Mon May 11 06:07:33 2026 From: info at icas.cc (ICAS Organizing Committee) Date: Mon, 11 May 2026 12:07:33 +0200 Subject: Connectionists: =?utf-8?q?Final_Call_for_Participation_-_9th_Adva?= =?utf-8?q?nced_Course_on_Data_Science_=26_Machine_Learning_-_ACDL_?= =?utf-8?q?2026_-_From_AI_Agents_to_Agentic_AI_=7C_June_8-12_=7C_Ri?= =?utf-8?q?va_del_Sole_Resort_=26_SPA_Tuscany_=E2=8F=B0_Registratio?= =?utf-8?q?n_by_15_May?= Message-ID: **Master Agentic AI in 5 Days + Earn 8 ECTS in Tuscany!** * Apologies for multiple copies. Please forward the course information among anybody (labs/departments/students) and social and scientific networks that might be interested. Thank you! * Learn directly from researchers at DeepMind, Meta and Top Universities ? in a top, residential program in Tuscany. ? 8 ECTS recognized credits ? Focus on Agentic AI & cutting-edge ML ? International cohort (PhD, researchers, engineers) ? Full immersive experience in Tuscany ? Apply now ? Limited to 250 participants, Applications close May 15 ? seats filling fast. ? ACDL 2026, A Residential Course: From AI Agents to Agentic AI, ? June 8-12, Tuscany ? Registration: by May 15 ? ACDL 2026 is a full-immersion 5-day course in Riva del Sole Resort & SPA - Tuscany on cutting-edge advances in AI, Deep Learning, LLMs, Data Sc., Generative AI, AI Agents & Agentic AI with lectures delivered by world-renowned experts. ?Riva del Sole Resort & SPA - Tuscany, June 8-12, 2026 ? https://acdl2026.icas.events ? acdl at icas.cc ? EARLY REGISTRATION: by May 15 (AoE) ? ?? Register here: https://acdl2026.icas.events/registration/ ? LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. ? https://acdl2026.icas.events/lecturers/ It follows the (partial) list of the confirmed ??? ACDL 2026 Lecturers: * Lucas Beyer, Meta, Z?rich, Switzerland 3 Lectures on "Transformers & Vision Transformers" * Sven Giesselbach, T Systems International & Fraunhofer Institute - IAIS, Germany 3 Lectures on ?Agentic AI? * Anirudh Goyal, Google DeepMind & Mila, Universit? de Montr?al, Canada 3 Lectures on ?Metacognition as a Control Plane for Reasoning? * Arthur Gretton, UCL & Google DeepMind, UK 2 Lectures on "Causal Effect Estimation with Context and Confounders? * Mario Guarracino, University of Cassino and Souther Lazio, Italy Lectures TBA * Katja Hofmann, Microsoft, UK 3 Lectures on ?World Models? * Arnulf Jentzen, University of M?nster, Germany Lecture 1/3 ?Mathematical Introduction to Stochastic Gradient Descent Optimization? Lecture 2/3 ?Error Analyses for Adam and further Accelerated and Adaptive Optimizers? Lecture 3/3 ?Deep Learning for High-Dimensional Partial Differential Equations? * Pushmeet Kohli, Google DeepMind, UK Lectures TBA * Panos Pardalos, University of Florida, USA Lectures TBA * Michal Valko, Stealth Startup, INRIA, MVA at ENS Paris-Saclay, France Lecture 1/3 ?Lightspeed RL Fine Tuning for LLMs? Lecture 2/3 ?Online and Offline RL Considerations for LLMs ? Lecture 3/3 ?New Advances on the Theory of Language Generation and Hallucination? * Jason Weston, META, USA Lecture 1/3 ?Self-Improving Language Models? Lecture 2/3 ?Self-Improving Agents? Lecture 3/3 ?The Future of Self-Improvement & the Promise of Co-Improving AI? More Lecturers TBA ? LECTURES: ? https://acdl2026.icas.events/lectures/ ? PAST LECTURERS: ? https://acdl2026.icas.events/past-lecturers/ ? VENUE: ? https://acdl2026.icas.events/venue/ Riva del Sole Resort & SPA Localit? Riva del Sole? Castiglione della Pescaia (Grosseto) CAP 58043? Tuscany? Italy p: +39-0564-928111 ? booking.events at rivadelsole.it ? https://www.rivadelsole.it/en/ ?Map of the Riva del Sole Resort & SPA: https://acdl2026.icas.events/wp-content/uploads/sites/36/2023/05/Riva-del-Sole-Resort-SPA-map.pdf PAST EDITIONS: ? https://acdl2026.icas.events/past-editions/ ? CERTIFICATE & 8 ECTS: The 9th Advanced Course on Data Science & Machine Learning ? ACDL 2026 is a full-immersion five-day Course at the Riva del Sole Resort & SPA (Castiglione della Pescaia ? Grosseto ? Tuscany, Italy) on cutting-edge advances in Deep Learning, Data Science and Generative AI with lectures delivered by world-renowned experts. The Course provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment. PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the ACDL attendants. The Course will involve a total of 36?40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student ? BSc Student) attending the Course. Language: English. To participate in the ACDL 2026, all attendants must (1/2) register for the course (by May 15) and (2/2) book accommodation at the course venue, ?Riva del Sole Resort & SPA? (by May 15); all attendants must stay at the ?Riva del Sole Resort & SPA?. Booking accommodation at the Riva del Sole must be made exclusively using the accommodation form attached to the registration confirmation email. No other methods must be used (if you use other booking methods the hotel will cancel the reservation). Finally, it is not possible to extend the stay, the special accommodation rates are valid only for the period of the course, no exceptions will be made. To contact the Riva del Sole Resort & SPA (the course venue) use the following email: booking.events at rivadelsole.it Once accommodation has been booked at ?Riva del Sole Resort & SPA?, the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl at icas.cc). ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with (or a double room in Hotel), please send to the Hotel ( ? booking.events at rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book a hotel room in single use. Please note that only ACDL registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the ACDL Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking. Anyone interested in participating in ACDL 2026 should register as soon as possible. See you in Riva del Sole in June! ACDL 2026 Directors. ACDL 2026 Scientific & Organizing Committees. ? https://acdl2026.icas.events ? acdl at icas.cc https://x.com/TaoSciences https://www.facebook.com/groups/204310640474650 https://www.linkedin.com/groups/10048467/ Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: ? https://acdl2026.icas.events * Apologies for multiple copies. Please forward to anybody who might be interested, thanks * #MachineLearning #AI #SummerSchool #Research #DeepLearning #DataScience -------------- next part -------------- An HTML attachment was scrubbed... URL: From claudio.gallicchio at unipi.it Mon May 11 07:14:24 2026 From: claudio.gallicchio at unipi.it (Claudio Gallicchio) Date: Mon, 11 May 2026 11:14:24 +0000 Subject: Connectionists: =?utf-8?q?=5BCfP=5D_DLMNH_2026_=E2=80=94_4th_Work?= =?utf-8?q?shop_on_Deep_Learning_meets_Neuromorphic_Hardware_=40_ECML-PKDD?= =?utf-8?q?=2C_Naples=2C_Italy=2C_Sep_7?= Message-ID: Dear colleagues, We are excited to announce the Call for Papers for the 4th International Workshop on Deep Learning meets Neuromorphic Hardware (DLMNH 2026), to be held as part of ECML-PKDD 2026 in beautiful Naples, Italy, on September 7th, 2026. ? Workshop website: https://sites.google.com/view/dlmnh2026/home ________________________________ About the Workshop The intersection of deep learning and neuromorphic computing is one of the most stimulating frontiers in AI research today. As deep learning models grow in power, their scalability is increasingly constrained by the computational and energetic costs of training and deployment. Neuromorphic computing ? inspired by biological neural systems ? offers a compelling alternative, enabling computation, memory, and learning to emerge from the dynamics of physical substrates. Together, these fields open paths toward truly pervasive, energy-efficient AI. We warmly welcome contributions from researchers across Computer Science, Engineering, Physics, Materials Science, Control Theory, Dynamical Systems, and related fields. Whether your work is deeply technical or reflects on broader societal implications, if it speaks to this intersection, we'd love to hear from you. ________________________________ Topics of interest include (but are not limited to): * Reservoir computing, lightweight and semi-randomized neural networks * Spiking neural networks and continuous-time recurrent models / Neural ODEs * Advanced training algorithms beyond backpropagation * Reinforcement learning in neuromorphic systems * Electronic, photonic, mechanical, and in-materia neuromorphic hardware * In-memory and analogue computing architectures * Quantum and physical computing * Ethical and societal implications of energy-efficient AI ________________________________ Important Dates * ? Submission deadline: June 5, 2026 * ? Notification of acceptance: July 1, 2026 * ? Workshop: September 7, 2026 ________________________________ Submission Guidelines We invite full papers (up to 16 pages) and extended abstracts / short papers (up to 6 pages), formatted according to the Springer LNCS template. Accepted papers may opt in for publication in the post-workshop proceedings by Springer Communications in Computer and Information Science (CCIS, indexed by WOS). We also welcome presentation-only contributions ? novelty is not a requirement for these, and we actively encourage submissions of work already published or presented elsewhere, to foster cross-pollination of ideas across the deep learning and neuromorphic hardware communities. ? Submit here: https://cmt3.research.microsoft.com/ECMLPKDDWT2026/Submission/Index After logging in, create a new submission and select the track "[DLMNH] ? Deep Learning meets Neuromorphic Hardware". ________________________________ We look forward to seeing you in Naples! For any questions, feel free to reach out at: deeplearningneuromorphic_ecml26 at googlegroups.com Best regards, The DLMNH 2026 Organizing Committee Claudio Gallicchio (University of Pisa, Italy), Andrea Ceni (University of Pisa, Italy), Gianluca Milano (INRiM, Turin, Italy) -------------- next part -------------- An HTML attachment was scrubbed... URL: From stephan.petrone at gmail.com Mon May 11 13:24:40 2026 From: stephan.petrone at gmail.com (Stephan Petrone) Date: Mon, 11 May 2026 19:24:40 +0200 Subject: Connectionists: MESS'26 Summer School: Quantum & Neuromorphic Optimization Message-ID: Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2026 - Metaheuristics Summer School ~ Emerging Computing Paradigms for Optimization: from Quantum to Neuromorphic ~ 6-10 July 2026, Catania, Italy https://www.ANTs-lab.it/mess2026/ mess.school at ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- ** NEW APPLICATION DEADLINE: 20th May 2026 ** https://www.ants-lab.it/mess2026/apply.html MESS 2026 offers a deep dive into the frontiers of Quantum and Neuromorphic computing. The program explores the entire technological stack, covering architectures, programming models, and advanced algorithms for complex optimization. Through a blend of theoretical lectures and hands-on sessions, participants will gain the expertise to lead innovation in next-generation computational research. The lectures will focus on the following topics for both quantum and neuromorphic computing: 1) architectures; 2) programming models; 3) optimization algorithms and applications; and 4) pratical work. The school will involve a total of 36-40 hours of lectures; therefore, in according to the academic system, all PhD and master students attending the summer school will can get 8 ECTS points. ** LECTURERS # QUANTUM COMPUTING: + Siddhartha Bhattacharyya, VSB Tech. Un. Ostrava, Czech Republic lecture1: "Introduction to Quantum Computing" lecture2: "Quantum Neural Networks: From Quantum-Inspired Framework to Quantum-Gate Framework" + Linsey Rodenbach, Quantum Computing at NVIDIA lecture1: "TBA" lecture2: "TBA" + Philippe Lacomme, Universit? Clermont-Auvergne, CNRS, France lecture1: "TBA" lecture2: "TBA" # NEUROMORPHIC COMPUTING: + Irem Boybat, IBM Research Zurich, Switzerland lecture1: "TBA" lecture2: "TBA" + Elisa Donati, Institute of Neuroinformatics UZH/ETH lecture1: "Neural networks and neural computing" lecture2: "Neuromorphic Computing and Technology" + El-Ghazali Talbi, University of Lille, France lecture1: "Neuromorphic computing: A gentle introduction" lecture2: "Neuromorphic-based optimization: Algorithms based on metaheuristics and computational biology" + Jorge Cruz-Duarte, University of Lille, France lecture1: "Neuromorphic-based optimization: Software framework under Lava and Nengo" ~ More Lecturers will be announced soon ~ ** SHORT ORAL PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. The organizing committee will review the abstracts and will recommend the format of the presentation (oral or poster). All abstracts will be published in the electronic hands-out book of the summer school. The Abstracts must be submitted during the application by *April 15, 2026*. ** MESS 2026 DIRECTORS: - Salvatore Greco, University of Catania, Italy - Mario Pavone, University of Catania, Italy - Andrea Schaerf, University of Udine, Italy - El-Ghazali Talbi, University of Lille, France - Daniele Vigo, University of Bologna, Italy ** MORE INFORMATION: https://www.ANTs-lab.it/mess2026/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From tcp1 at leicester.ac.uk Mon May 11 11:19:48 2026 From: tcp1 at leicester.ac.uk (Pearce, Timothy C. (Dr.)) Date: Mon, 11 May 2026 15:19:48 +0000 Subject: Connectionists: 3 x academic positions UK In-Reply-To: References: Message-ID: Dear colleagues, We have three academic (tenure-track faculty) posts (defined as teaching + research) open in AI overlapping with health tech area. Would be grateful If you could broadcast on your networks -- if you know anyone suitable please encourage them to apply. We would be delighted if successful candidates would have overlapping interests with AI, computer imaging, robotics, wearable technology and neuromorphic computing. Adverts are live for 3 academic positions. Please distribute widely and encourage your contacts to apply: Lecturer in Rehabilitation Technology (RehabTech) (uk equiv assistant prof) Lecturer in Medical Technology (MedTech) (uk equiv assistant prof) Associate Professor in Biological Imaging and AI Deadline midnight on: 02 Jun 2026. Linked in post: https://www.linkedin.com/posts/tim-pearce-808aaa83_come-and-join-us-3-academic-positions-are-share-7457721382433583104-PtOH?utm_source=share&utm_medium=member_desktop&rcm=ACoAABHIGggBVt6qwpy2vJgcH_rZz0qLyRefPqU Best, Tim. Best, Tim. -- Tim C. Pearce, PhD FInstP SFHEA (he/him/his) Reader in Bioengineering Head of Biomedical Engineering Research Group (BERG) Deputy Head of School of Engineering College of Science and Engineering Health Theme Lead Editor-in-Chief for Connection Science School of Engineering University of Leicester | University Road | Leicester | LE1 7RH | UK t: +44 (0)116 223 1290 e: t.c.pearce at le.ac.uk w: https://le.ac.uk/people/tim-pearce BERG: https://le.ac.uk/engineering/research/berg li: https://www.linkedin.com/in/tim-pearce-808aaa83/ shared calendar: here [cid:fc7d3ee2-6c42-49e9-be3e-df153e89c25f] Join us for BioMedEng 2027 at Leicester [cid:59b77a43-6b65-44da-8a29-f6e9913b514c] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-42sqlxhm.png Type: image/png Size: 7548 bytes Desc: Outlook-42sqlxhm.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-4th2jpgr.png Type: image/png Size: 449362 bytes Desc: Outlook-4th2jpgr.png URL: From icaitemspisa at gmail.com Tue May 12 04:52:56 2026 From: icaitemspisa at gmail.com (ICAI TEMS 26 PISA) Date: Tue, 12 May 2026 10:52:56 +0200 Subject: Connectionists: CfP IEEE ICAI-TEMS 2026 | IEEE and Scopus indexed | Abstract Submission Deadline: May 17, 2026 Message-ID: *Dear colleague,submit your paper to the 2nd edition of the IEEE International Conference on Application of Information Technologies in Engineering, Management and Science (ICAI TEMS 2026).The conference focuses on recent developments in information technologies and their applications across engineering, management, and science. It aims to provide a space for discussion between theoretical research and practical implementation.Topics of the general track cover (but are not limited to): - Information Technology for Sustainability- Strategic Application of Emerging Technologies- Digital Ecosystems for Circular Economy- High-Performance Computing Architecture- Emerging IoT and Distributed System Architectures- Sustainable Manufacturing Operations- Digital Geoscience and Geo-engineering Applications- Energy Management Systems- Digital Transformation Strategies and Frameworks in Engineering and Science- Artificial Intelligence, Cognitive Computing, and Data-Driven Decision Systems- Cyber-Physical Systems, Digital Twins, and Intelligent Automation- Blockchain and Secure Distributed Architectures for Industrial Applications- AI-Based Risk Assessment for Infrastructure Resilience Management- Digital Traceability and Sustainable Supply Chain Optimization- Human?Machine Interaction and Human-Centric Socio-Technical Systems- Data Governance and Strategic Information Management- Regulatory, Ethical, and Inclusive Dimensions of Digital Innovation- Performance and Decision Support Systems for Complex Infrastructures- ICT for Smart Healthcare Systems and Digital Hospitals- Healthcare Operations Management and Digital Process OptimizationSUBMISSION INFO AND IMPORTANT DATES - Abstract Submission: May 17, 2026- Full Paper Submission: Aug 1, 2026- Notification of Acceptance: Sep 1, 2026- Camera-Ready Submission: Sep 15, 2026- Conference: 10-13 Nov 2026All the accepted papers will be indexed in citation databases like IEEE Xplore Digital Library and Scopus. Submission guidelines, conference tracks, and additional details for authors are available at link OTHER INFOKeynote speakers, companies workshop and other informations about the conference program Discover More Conference General Chairs: - Prof. Mario G.C.A. Cimino, General Chair (University of Pisa, Italy)- Prof. Sudip Chakraborty, General Chair (University of Calabria, Italy)Conference Technical Program Chairs: - Prof. Antonio Luca Alfeo, Technical Program Chair (eCampus University, Italy)- Dr Esteban Garz?n, Technical Program Co-Chair (University of Calabria, Italy)- Prof. Davide Aloini, Technical Program Co-Chair (University of Pisa, Italy)For full organizing committee, please visit our website The conference will be hosted in the historical heart of Pisa, Italy. More info here For any other questions, feel free to contact the organizing committee at icai.tems.eu at gmail.com .We look forward to your contribution.Best regards,Pietro Calabrese, Publicity Chair, IEEE ICAI-TEMS 2026* -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkoprinkova at yahoo.com Tue May 12 07:02:19 2026 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Tue, 12 May 2026 11:02:19 +0000 (UTC) Subject: Connectionists: AIMSA 2026 2nd CFP References: <551269379.971410.1778583739379.ref@mail.yahoo.com> Message-ID: <551269379.971410.1778583739379@mail.yahoo.com> Here are the last news about AIMSA 2026 organization: 1. We have approval from Springer for post-conference proceedings publication. We plane to submit all presented papers to the publisher a month after the conference in order to assure fast publication of the AIMSA volume. 2. The deadline for paper submission was extended until June 30 since we have time to review and accept papers before conference in October. 2. We have two distinguished plenary speakers announced here:?https://www.aimsaconference.org/invited.php 3. The conference goes to hybrid mode, i.e. distance attendance will be possible. 4. Registration fees are announced here:?https://www.aimsaconference.org/registration.phpWe will announce soon the payment details. 5. Practical information and venue/accommodation information is updated. We are looking forward to see you in person or virtually this October! Conference organizersNikola Kasabov & Petia Koprinkova-Hristova -------------- next part -------------- An HTML attachment was scrubbed... URL: From fxcosta at ucp.pt Tue May 12 06:00:00 2026 From: fxcosta at ucp.pt (Felipe Xavier Costa) Date: Tue, 12 May 2026 10:00:00 +0000 Subject: Connectionists: =?utf-8?b?8J+TnSBTdWJtaXQgRWFybHkg4oCTIEpvaW4g?= =?utf-8?q?Global_Leaders_at_COMPLEX_NETWORKS_2026_=F0=9F=8C=8D?= Message-ID: Dear colleagues, Join us this December in Granada, Spain for COMPLEX NETWORKS 2026 ? the international event where network science and complexity research converge. ?? Important Dates * Submission Deadline: September 2, 2026 * Tutorials: December 1, 2026 * Conference: December 2?4, 2026 ? Submission Types * Full Papers (12 pages): Springer Studies in Computational Intelligence * Extended Abstracts (4 pages): Book of Abstracts (with ISBN) ? Journal Invitations Selected papers will be invited to submit extended versions to: * Applied Network Science * Advances in Complex Systems * Complex Systems * Entropy * PLOS Complex Systems * PLOS one * Social Network Analysis and Mining ? Keynote Speakers: Alexandra Brintrup, Nitesh Chawla, Kimmo Kaski, Bruno Lepri, Eckehard Scholl ? Tutorial Speakers: Fariba Karimi, Huijuan Wang ? Take your research global ? submit your paper today! ? https://complexnetworks.org/submission/ We look forward to your contribution! Warm regards, On Behalf of the COMPLEX NETWORKS 2026 Organizing Committee Felipe Xavier Costa, PhD Postdoctoral Researcher https://fxcosta-phd.github.io/ [cid:b10b2076-53ec-46ba-9529-b16b4e047493] Universidade Cat?lica Portuguesa www.cbr.fm.ucp.pt -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-w1ac1kjt.png Type: image/png Size: 207541 bytes Desc: Outlook-w1ac1kjt.png URL: From e.neftci at fz-juelich.de Tue May 12 05:11:17 2026 From: e.neftci at fz-juelich.de (Emre Neftci) Date: Tue, 12 May 2026 11:11:17 +0200 Subject: Connectionists: International Conference on Neuromorphic Computing and Engineering Registration, Early bird until 22. May 2026 Message-ID: Dear Colleagues, The second International Conference on Neuromorphic Computing and Engineering (ICNCE 2026) held in Aachen, Germany, from June 28?July 2, 2026 (https://icnce-2026.de) is open for registration. Early bird registration ends on May 22. You can register directly here: https://evis.events/e/icnce26 A limited number of sponsorships are available for covering the registration fee of undergraduate (bachelor) and master students. Please send a 1-page CV to sponsorships at icnce-2026.de by May 15. The call for abstracts remains open for poster contributions. The submission guidelines can be found on the conference website. For any other questions, please write to info at icnce-2026.de. We look forward to welcoming you to Aachen! Emre Neftci, on behalf of the Organizing Committee of ICNCE 2026 (Regina Dittmann, Bastian Leibe, Max Lemme, Abigail Morrison, Emre Neftci, John Paul Strachan) -- Prof. Dr. Emre Neftci Head of Peter Gr?nberg Institute 15 - Neuromorphic Software Ecosystems Forschungszentrum J?lich www.fz-juelich.de/pgi/PGI-15 -- Prof. Dr. Emre Neftci Head of Peter Gr?nberg Institute 15 - Neuromorphic Software Ecosystems Forschungszentrum J?lich www.fz-juelich.de/pgi/PGI-15 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum J?lich GmbH 52425 J?lich Sitz der Gesellschaft: J?lich Eingetragen im Handelsregister des Amtsgerichts D?ren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller Gesch?ftsf?hrung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Dr. Stephanie Bauer (stellv. Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue May 12 08:31:44 2026 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 12 May 2026 19:31:44 +0700 Subject: Connectionists: REMINDER: World wide VVTNS series (6th season): Mean-field dynamics in networks with clustered connectivity and dendritic nonlinearities | Gabriel Ocker, Boston University | Wednesday, May 13, 2026, at 11:00 am ET 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 Gabriel Ocker Boston University on the topic of Mean-field dynamics in networks with clustered connectivity and dendritic nonlinearities The lecture will be held on Zoom on May 13, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Networks of interconnected neurons display diverse patterns of activity. Relating these patterns to the structure of the network is a central goal of theoretical neuroscience. Classic neural field and rate models have been powerful tools for this purpose due to their analytical tractability. Here, we show that the recently-developed combinatorial threshold-linear network (CTLN) model is a mean-field theory for excitatory-inhibitory Hawkes networks, with clustered connectivity, in an inhibition-stabilized regime. This mapping allows us to leverage powerful analytical results for CTLN networks to predict diverse macroscopic dynamics of clustered Hawkes networks, including metastability between various macroscopic fixed points, limit cycles, and chaotic attractors. We will then examine an extension of this approach to models with nonlinear dendritic dynamics, focusing on dendritic calcium spikes.We uncover a marked point process mean-field theory for these n etworks and use this to examine how somatic vs dendritic-targeting connectivity shapes the mean-field equilibrium phase diagram. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? ? -------------- next part -------------- An HTML attachment was scrubbed... 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Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From trentin at dii.unisi.it Tue May 12 06:25:43 2026 From: trentin at dii.unisi.it (Edmondo Trentin) Date: Tue, 12 May 2026 12:25:43 +0200 Subject: Connectionists: Deadline extension: 12th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2026), Milan, Italy Message-ID: <327f9fa61a06cf5e478f0d4925bbc645.squirrel@mailsrv.diism.unisi.it> Dear colleagues, we are pleased to invite submissions to the 12th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2026), which will be held on October 7?9, 2026 at the University of Milan, Italy (https://annpr2026.unimi.it/) *** The deadline for submitting a contribution has been extended to the 4th of June 2026 *** ANNPR is a well-established international forum that brings together researchers and practitioners working on neural networks and machine learning for pattern recognition. Highlights ? Confirmed keynote speakers: https://annpr2026.unimi.it/program/keynote-speakers/ ? Best paper awards sponsored by Cambridge University Press: https://annpr2026.unimi.it/awards/ Important Dates ? Extended paper submission deadline: June 4, 2026 ? Notification: July 7, 2026 ? Camera-ready submission: July 13, 2026 ? Conference dates: October 7?9, 2026 We also welcome submissions to special sessions on: ? Explainable and Interpretable Machine Learning (including neuro-symbolic approaches) ? Multimodal AI in Archaeology Accepted papers will be published in Springer Lecture Notes on Artificial Intelligence. For submission details and further information, please visit the conference website: annpr2026.unimi.it We are looking forward to receiving your contributions. Best regards, the ANNPR 2026 Organizers (https://annpr2026.unimi.it/organizers/) Email: annpr2026 at gmail.com ----------------------------------------------- Edmondo Trentin, PhD Dip. Ingegneria dell'Informazione e Scienze MM. V. Roma, 56 - I-53100 Siena (Italy) E-mail: trentin at dii.unisi.it Voice: +39-0577-234636 Fax: +39-0577-233602 WWW: http://www.dii.unisi.it/~trentin/HomePage.html -------------- next part -------------- A non-text attachment was scrubbed... Name: ANNPR2026-flyer.pdf Type: application/pdf Size: 341686 bytes Desc: not available URL: From giovanni.stanco at unina.it Wed May 13 02:50:15 2026 From: giovanni.stanco at unina.it (GIOVANNI STANCO) Date: Wed, 13 May 2026 06:50:15 +0000 Subject: Connectionists: ACM CoNEXT 2026 Call for Workshop Proposals In-Reply-To: References: Message-ID: +---------------------------------------------------------------+ Call for Workshop Proposals ACM CoNEXT 2026 Utrecht, The Netherlands - December 7-10, 2026 Workshop Proposal Submission Deadline: May 19, 2026 https://conferences.sigcomm.org/co-next/2026/#!/cfw +---------------------------------------------------------------+ ACM CoNEXT 2026, to be held in-person in Utrecht, The Netherlands, is soliciting proposals for half-day and full-day workshops to be co-located with the main conference. We invite you to submit workshop proposals on any topic related to the broad set of research and application areas covered by the ACM CoNEXT conference. We welcome workshops on topics in network research, practice, and education. Topics that represent new research areas and directions are particularly welcome. If the workshop is accepted, the proposers agree to recruit a Program Committee for selecting papers, recruit invited speakers if applicable, and advertise the workshop in order to attract papers and attendees. The workshop chairs reserve the right to cancel workshops that do not receive a sufficient number of submissions from their open call. Furthermore, it is expected that the majority of accepted papers will originate from authors who are not members of the workshop's Technical Program Committee (TPC) and will be submitted in response to the open call. While invited papers may be included in the final program, they should constitute a minority of the accepted submissions. As an integral part of the conference, the workshops will be fully incorporated into CoNEXT's logistical and budget planning process. Workshop papers - unless opted-out - will be published in the same set of proceedings as the conference's short papers, and will be available on the ACM Digital Library. Workshop papers will not appear as part of the new journal-based proceedings (PACMNET). Detailed guidelines on how to prepare your workshop proposal submission can be found at: https://conferences.sigcomm.org/co-next/2026/#!/cfw Where to Submit a Workshop Proposal Please submit your workshop proposal in a single PDF file by sending it to the Workshop Chairs over email at workshopchairs_conext2026 at auckland.ac.nz. with the subject ?CoNEXT 2026 Workshop Proposal: xxxx? (where xxxx is the acronym of your proposed workshop) by May 19, 2026. Please follow the deadlines below. Important dates (in reverse chronological order) * Workshop paper submission: July 14th, 2026 * Workshop paper abstract registration: July 7th, 2026 * Announcement of CFPs: Before June 15th, 2026 * Announcement of selected workshops: June 8th, 2026 * Submission of workshop proposals: May 19th, 2026 Note that the time between the notification of acceptance of the workshop and the announcement of the CFP is limited. Thus, we reiterate that you should contact your workshop's potential TPC members and secure the participation of most of them before submitting your proposal. Preliminary Information for Workshop Planning All deadlines will be common across workshops. * Paper submissions deadline: July 14th, 2026 * Paper acceptance notification: Before end of August, 2026 * Camera ready due: Before end of September, 2026 * Program available online: Before mid-October, 2026 * List of organisation details: Before mid-October, 2026 In order for the workshops to be synchronised with preparations for the main conference and with travel grants, the dates above must be strictly followed by all workshops. Please contact the CoNEXT 2026 Workshop co-chairs Chris Visser and Ulrich Speidel (workshopchairs_conext2026 at auckland.ac.nz) with any questions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From matteo.di-volo at univ-lyon1.fr Wed May 13 02:36:14 2026 From: matteo.di-volo at univ-lyon1.fr (DI VOLO MATTEO) Date: Wed, 13 May 2026 06:36:14 +0000 Subject: Connectionists: Master 2 computational neurosciences, Lyon (France) Message-ID: Dear colleagues, Applications for EU students are now open for the Master 2 in Computational Neuroscineces at the University of Lyon (France). The CNS program in Lyon trains students in modern computational and analytical methods to study the brain: from the electrical activity of single neurons to neural networks, interacting brain regions, and animal behavior. Students learn the principles of brain function by applying statistics, signal processing, and computational modeling to real neuroscientific datasets, gaining extensive hands-on experience through practical Python-based work. The main objective of CNS is to equip students with the skills and critical perspective needed to design, conduct, and interpret analyses of electrophysiological and behavioral data from a mechanistic point of view. Applications are done through the e-candidat platform Best regards, Matteo Di Volo ---- Matteo Di Volo Professor, University Claude Bernard Lyon1 Co-Director Master 2 Computational Neurosciences https://masterneuro.univ-lyon1.fr/m2-cns/ Stem Cell and Brain Research institute INSERM, NEF team: https://sbri.fr/teams/neurobiology-of-executive-functions/ Personal website: https://matteodivolo.wordpress.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From cristina.palmero at kcl.ac.uk Tue May 12 13:09:35 2026 From: cristina.palmero at kcl.ac.uk (Cristina Palmero Cantarino) Date: Tue, 12 May 2026 17:09:35 +0000 Subject: Connectionists: ChaLearn UDIVA-HHOI Challenge @ ECCV 2026 - Registration now open! Message-ID: [Apologies for cross-posting] Dear colleagues, We are pleased to announce the ChaLearn UDIVA-HHOI Challenge @ ECCV 2026, organized within the CONTEXTUS Workshop at the European Conference on Computer Vision (ECCV 2026). The challenge focuses on advancing research in context-aware human behavior understanding, emphasizing how people interact, coordinate, and influence one another in real-world settings. Going beyond isolated action recognition, the challenge promotes socially grounded and multimodal visual intelligence. Participants will work with the new UDIVA-HHOI dataset, a multimodal, multi-view dataset of non-scripted dyadic interactions in a collaborative assembly task. The dataset includes synchronized audio, video, transcripts, and rich contextual metadata from one exocentric and two egocentric views, capturing behaviors such as collaboration, joint attention, and leader-follower dynamics. Annotated sessions include both verbal and non-verbal human-human-object interaction events, together with goals, intentions, and causal relationships. The challenge features 5 tracks: * Track 1: Multimodal Exocentric Event Recognition * Track 2: Multimodal Egocentric Event Recognition * Track 3: Multimodal Exocentric Event Anticipation * Track 4: Multimodal Egocentric Event Anticipation * Track 5: Multimodal Exocentric Causal Event Grounding Registration is now open! For schedule and more information please visit: * Challenge website: https://lap.chalearn.eu/public/udiva-hhoi-challenge-eccv26 * Workshop website: https://lap.chalearn.eu/public/ECCV26-CONTEXTUS (Call for papers and invited speakers coming soon.) Top-ranked teams will receive monetary awards and certificates, along with the opportunity to publish and present their work at the workshop. Travel and registration grants may also be available subject to funding. Supported by ChaLearn, SurfingTech, and Google. Organizers: Cristina Palmero (King's College London) Sergio Escalera (Universitat de Barcelona & Computer Vision Center) Albert Clap?s (Universitat de Barcelona) Xavier Bar? (Universitat de Barcelona) Daniele Berardini (Instituto Italiano di Tecnologia) Hugo Jair Escalante (The University of Texas at El Paso & INAOE) Vittorio Murino (Instituto Italiano di Tecnologia & University of Verona) Challenge chairs: Jeanfed Ram?rez Lima, Luis J. Arellano Advisory board: Isabelle Guyon, Jeffrey Cohn -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Wed May 13 03:57:51 2026 From: info at icas.cc (ICAS Organizing Committee) Date: Wed, 13 May 2026 09:57:51 +0200 Subject: Connectionists: =?utf-8?q?=F0=9F=93=A3_Call_for_papers=3A_12th_In?= =?utf-8?q?ternational_Artificial_Intelligence_Symposium_-_AIS_2026?= =?utf-8?q?=2C_21-24_September=2C_Riva_del_Sole_Resort_=26_SPA_=40_?= =?utf-8?q?Tuscany_*_=E2=8F=B0_Submission_Deadline=3A_May_23_*?= Message-ID: * Please kindly help forward it to potentially interested authors/attendees, thanks! * The 12th International Artificial Intelligence Symposium - AIS 2026, ? 21-24 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy ? https://ais2026.icas.events ais at icas.cc SATELLITE EVENT: ? 4th International Meeting on Foundation Models - IMFM2026 ? https://ais2026.icas.events/imfm2026/ ? PAPERS SUBMISSION: All papers must be submitted using EasyChair: ? https://easychair.org/conferences/?conf=ais20260 * ? Paper Submission deadline: May 23 (AoE) * CALL FOR PAPERS: ? https://ais2026.icas.events/call-for-papers/ Please prepare your paper using the Springer Nature - Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF. ? TYPES OF SUBMISSIONS: When submitting a paper to AIS 2026, authors are required to select one of the following three types of papers: * Long Paper / Late breaking paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); the long papers and the late breaking papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings. * Short Paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); the short papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings. * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference; Articles/Abstracts accepted in this special session will not be published in the Conference Proceedings by Nature-Springer LNCS. * work for poster presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference. Articles/Abstracts accepted in this special session will not be published in the Conference Proceedings by Nature-Springer LNCS. KEYNOTE SPEAKERS: As in previous editions, the conference will be co-located with the International Artificial Intelligence Summer School (IAISS 2026), fostering a unique and stimulating environment for interdisciplinary exchange. This co-location is intended to strengthen the interaction between researchers, practitioners, and students, promoting the cross-fertilization of ideas and the development of new collaborations within the artificial intelligence community. All conference participants will have full access to IAISS 2026 activities, including IAISS 2026 keynote lectures delivered by leading experts, thereby enriching the overall scientific experience and providing additional opportunities for learning, discussion, and networking. IAISS 2026 Lecturers Stefano V. Albrecht, Nanyang Technological University, Singapore Mikhail Belkin, University of California San Diego, USA Giuseppe De Giacomo, University of Oxford, UK Jamie Hayes, Google DeepMind, UK Sumi Helal, University of Bologna, Italy Marine Le Morvan, INRIA Saclay, France Bruno Lepri, FBK, Italy George Paliouras, National Center for Scientific Research ?Demokritos?, Athens, Greece Panos Pardalos, University of Florida, USA More Lecturers TBA PAST KEYNOTE SPEAKERS: https://ais2026.icas.events/past-keynote-speakers/ AIS Leonardo Fibonacci BEST PAPER AWARD: https://ais2026.icas.events/best-paper-award/ PROGRAM COMMITTEE: https://ais2026.icas.events/program-committee/ VENUE: https://ais2026.icas.events/venue/ The venue of AIS 2026 will be Riva del Sole Resort & SPA @ Tuscany AIS 2026 is a Residential Conference, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. Riva del Sole Resort & SPA a: Localit? Riva del Sole - Castiglione della Pescaia (Grosseto, CAP 58043? Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events at rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://ais2026.icas.events/activities/ Submit your research work today! https://easychair.org/conferences/?conf=ais20260 See you in the beautiful Tuscany in September! Best regards, AIS 2026 Organizing Committee. https://ais2026.icas.events ais at icas.cc Past Editions: https://ais2026.icas.events/past-editions/ https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/19150026/ AIS 2026 Poster: https://ais2026.icas.events/wp-content/uploads/sites/37/2025/12/AIS-2026-poster.png Obviously, this is only a Call for Papers, to have complete and updated information we recommend you access the relevant website: https://ais2026.icas.events * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Wed May 13 09:19:41 2026 From: mtanveer at iiti.ac.in (M Tanveer) Date: Wed, 13 May 2026 18:49:41 +0530 Subject: Connectionists: ICONIP 2026, Melbourne | Submission deadline: May 31, 2026 Message-ID: Dear Colleagues, We are pleased to invite you to submit your latest research to the *33rd International Conference on Neural Information Processing (ICONIP 2026)*, to be held *23?27 November 2026* at the *Melbourne Convention and Exhibition Centre*, Melbourne, Australia. ICONIP is the flagship annual conference of the *Asia Pacific Neural Network Society (APNNS)* and has a more than 30?year tradition of bringing together leading researchers and practitioners in neural information processing, artificial intelligence, machine learning, and computational neuroscience. [iconip2026.org] *Important Date* - *Paper submission deadline:* *31 May 2026* *Submission Portal* - Call for Papers - ICONIP2026 *Topics of Interest* ICONIP 2026 welcomes *original, high?quality research papers* across theory, algorithms, models, methodologies, applications, and emerging frontiers, including (but not limited to): - *Theory & Algorithms:* machine learning, neural networks, optimisation, causality, explainable and responsible AI, time?series analysis, privacy and security for AI - *Cognitive & Computational Neuroscience:* neural data analysis, brain?machine interfaces, reasoning and consciousness, computational psychiatry, social cognition - *Human?Centred Computing:* bioinformatics, healthcare, human activity recognition, HCI, neuromorphic hardware, recommender systems - *Applications & Frontiers:* computer vision, natural language processing, robotics and control, big data analytics, information retrieval, multimedia systems (Full scope available at: https://iconip2026.org/call-for-papers) *? Publications* All accepted papers will be published in *Springer?s Lecture Notes in Computer Science (LNCS)* and *Communications in Computer and Information Science (CCIS)* series, following a *single?blind peer?review process*. *Why ICONIP 2026?* - A premier international forum for neural information processing and AI research - Strong interdisciplinary participation from academia and industry - A unique opportunity to engage with the Asia?Pacific and global AI community - Hosted in *Melbourne*, a world?class city renowned for research, innovation, and culture We would greatly appreciate it if you could *circulate this call within your networks* and encourage colleagues and students to submit their work. For full details on submissions, tracks, special sessions, workshops, and tutorials, please visit: *https://www.iconip2026.org * We look forward to welcoming you to Melbourne for *ICONIP 2026*. Kind Regards ICONIP 2026 organising committee --------------------------------------------------------------------- Prof. M. Tanveer IEEE CIS Distinguished Lecturer (2024-2026) INSA Distinguished Lecture Fellow SERB Ramanujan Fellow and INSA Associate Fellow Elected Board of Governors - APNNS (2023-2026) Chair, IEEE CIS Chapter - MP Section Professor of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: https://mtanveer.profiles.iiti.ac.in Associate Editor: IEEE Transactions on Fuzzy Systems (IF: 11.9) (2025 -) Associate Editor - IEEE Transactions on Emerging Topics in Computational Intelligence (IF: 6.5) (2025 -). Associate Editor: IEEE Transactions on Neural Networks & Learning Systems (IF: 8.9) (2022-2024). Senior Action Editor (Equivalent to A-EiC): Neural Networks, Elsevier (IF: 6.3). Associate Editor: Pattern Recognition, Elsevier (IF: 7.6). Editorial Board: Applied Soft Computing, Elsevier (IF: 6.6). Board of Editors: Engineering Applications of AI, Elsevier (IF: 8.0). Associate Editor: Neurocomputing, Elsevier (IF: 6.5). Associate Editor: Cognitive Computation, Springer (IF: 4.3). -------------- next part -------------- An HTML attachment was scrubbed... URL: From blextar at gmail.com Thu May 14 01:32:58 2026 From: blextar at gmail.com (Luca Rossi) Date: Thu, 14 May 2026 13:32:58 +0800 Subject: Connectionists: CFP S+SSPR 2026 (Deadline Extension) Message-ID: Dear Colleagues, Due to numerous requests, we have extended the paper submission deadline for S+SSPR 2026 to *May 25, 2026*. No further extension will be granted. S+SSPR is a well-established forum bringing together researchers working on statistical, structural, and syntactic approaches to pattern recognition, as well as their applications. The workshop will take place shortly after ICPR 2026 and will be hosted by the University of Bern, Switzerland. *Topics of Interest* We invite submissions on **pattern recognition**, including statistical and structural approaches, as well as related applications. *Submission Details* - Papers must be original and not under review elsewhere - Maximum length: 10 pages, LNCS format - Submission via EasyChair - All submissions will undergo peer review - Accepted papers will be published in Springer LNCS, conditional on presentation *Important Dates* Paper submission: May 25, 2026 Notification: June 30, 2026 Camera-ready: July 15, 2026 Workshop: August 24?26, 2026 The workshop will feature keynote talks by Prof. Christopher Morris (RWTH Aachen University) and the 2026 Pierre Devijver Prize winner, Prof. Bernhard Sch?lkopf (Max Planck Institute for Intelligent Systems & ELLIS Institute T?bingen). Bern, the capital of Switzerland, offers a unique blend of historic charm and vibrant academic life, with its UNESCO-listed old town and picturesque surroundings. Switzerland?s stunning landscapes, from the Alps to crystal-clear lakes, provide an inspiring setting for both scientific exchange and memorable experiences. Further information and updates can be found at: https://ssspr2026.inf.unibe.ch We would be grateful if you could also forward this call to interested colleagues and research groups. We look forward to your submissions and to welcoming you to Bern. Kind regards, The S+SSPR 2026 Organising Committee -- Luca Rossi Assistant Professor Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University https://blextar.github.io/luca-rossi/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From gualtiero.volpe at unige.it Wed May 13 18:04:11 2026 From: gualtiero.volpe at unige.it (Gualtiero Volpe) Date: Thu, 14 May 2026 00:04:11 +0200 (CEST) Subject: Connectionists: ACM ICMI 2026 Call for Late-Breaking Results (LBR) Message-ID: <588854327.18.1778709851755@localhost> ICMI 2026 CALL FOR LATE-BREAKING RESULTS (LBR) =============================================== 5-9 October 2026, Napoli - Italy https://icmi.acm.org/2026/ =============================================== Dear colleagues, Please find below the Call for Papers for the Late-Breaking Results (LBR) track of the 28th ACM International Conference on Multimodal Interaction (ICMI 2026). Based on the success of the Late-Breaking Results (LBR) track, ICMI 2026 will continue soliciting submissions for this special venue. The goal of this venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues. * Online Submission https://new.precisionconference.com/submissions/icmi26a * Highlights - Submission deadline: June 21st, 2026 - Notifications: July 15th, 2026 - Camera-ready deadline: August 2nd, 2026 - Conference Dates: October 6?8, 2026 - Submission format: Anonymized short paper (four-page paper in a double-column format, not including references), following the submission guidelines - Selection process: Peer-Reviewed - Presentation format: Participation in the conference poster session - Proceedings: Included in the Adjunct Proceedings (Companion Volume) and ACM Digital Library - LBR Co-chairs: Daniel Riccio and Hung-Hsuan Huang * What are Late-Breaking Results? Late-Breaking Results (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting-edge or emerging work that is still in exploratory stages, smaller-scale studies, or, in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track. * Why submit to the Late-Breaking Results track at ICMI? Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting, thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field. Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are significant revisions, as per the ACM and ACM SIGCHI policies. LBR papers will be published as ACM extended abstracts in the Adjunct Proceedings. Under ACM Open, extended abstract article types are not subject to Article Processing Charges (APCs). * Submission Guidelines Extended Abstract An anonymized short paper, four-page paper in a double-column ACM conference format, using LaTeX or Word (excluding references). Papers should follow the same guidelines as papers published in the proceedings of the ACM ICMI conference. The paper should be submitted in PDF format and through the ICMI submission system in the "Late-Breaking Results" track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version, and no deadline extensions can be granted. Anonymization Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR relative to prior work, authors should not remove or anonymize references to their own prior work. Instead, authors should refer to their own prior work in the third person during submission. After acceptance, such references can be changed to first person if desired. * Review Process LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work, which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors, including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it fits the LBR track, for example, in-progress results. More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Authors should clearly justify how the proposed ideas can bring measurable breakthroughs compared to the state of the art. * Attendance Similar rules for registration and attendance will be applied for authors of LBR papers as for regular papers. Further information will be made available later on the conference website. * Website For updates, please visit: https://icmi.acm.org/2026/late-breaking-results/ * Contact For further questions, contact the LBR co-chairs, Daniel Riccio and Hung-Hsuan Huang, at: icmi2026-latebreaking-chairs at acm.org We would be grateful if you could circulate this call among colleagues and interested researchers. Best regards, ICMI 2026 LBR Chairs Daniel Riccio and Hung-Hsuan Huang From marilyn.gatica at usach.cl Thu May 14 05:16:05 2026 From: marilyn.gatica at usach.cl (Marilyn Gatica) Date: Thu, 14 May 2026 10:16:05 +0100 Subject: Connectionists: Call for contributed talks: CNS*2026 Information Theory Workshop Message-ID: Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience will be held once again as part of the 35th Annual Computational Neuroscience Meeting ( CNS*2026 ), in Halifax, Canada. The full CNS*2026 conference will take place from July 11?15, 2026, with workshops held on July 14?15, 2026. Our confirmed and tentatively confirmed *invited speakers *so far include: - Demian Battaglia, CNRS / University of Strasbourg, France - Marilyn Gatica, Northeastern University London, UK - Jaroslav Hlinka, Czech Academy of Sciences, Czech Republic - Joseph Lizier, The University of Sydney, Australia - Patricio Orio, Universidad de Valpara?so, Chile - Maria Pope, Indiana University, USA - Thomas Varley, University of Vermont, USA - ...more TBA! We would like to *call for contributions* to talks. If you are interested in contributing a talk, please send a title and abstract to Joseph T. Lizier (joseph.lizier at sydney.edu.au) and Marilyn Gatica ( marilyn.gatica at nulondon.ac.uk). Earlier submissions and submissions from speakers from underrepresented groups will be prioritised. We will review submissions weekly starting May 25, and the call will remain open until all available slots have been filled. Please pay attention to the registration for CNS*2026 deadlines and fees, as workshop registration at least is required for attendance, and see our website for more details. We hope you will join us there! *Organising Committee:* Joseph T. Lizier, Chair, The University of Sydney, Australia Marilyn Gatica, Co-Chair, Northeastern University London, UK Demian Battaglia, CNRS / University of Strasbourg, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From uai.socials at gmail.com Thu May 14 05:34:35 2026 From: uai.socials at gmail.com (UAI Social Media) Date: Thu, 14 May 2026 10:34:35 +0100 Subject: Connectionists: UAI 2026 Workshops Message-ID: Dear colleagues, UAI 2026 will host three workshops on Friday, August 21, 2026, following the main conference in Amsterdam. We invite submissions to the following workshops: *Causality for Decision Making* https://sites.google.com/view/uai-workshop-2026/home Focus: causal reasoning for decision making, including reinforcement learning, bandits, planning, counterfactual reasoning, policy evaluation, and robust decision making under distribution shift. Submission deadline: *May 20, 2026* *The 9th Workshop on Tractable Probabilistic Modeling* https://tractable-probabilistic-modeling.github.io/tpm2026/ Focus: tractable probabilistic models, with emphasis on tensor networks, causality, trustworthy AI, probabilistic circuits, and efficient inference. Submission deadline: *June 12, 2026 AoE* *2nd Workshop on Safe AI* https://safe-ai-workshop.github.io/uai-2026/ Focus: safe and trustworthy agentic AI, including uncertainty, robustness, interpretability, auditing, evaluation, control, and deployment. Submission deadline: *May 28, 2026 AoE* Workshop day: *August 21, 2026* Location: *UAI 2026, Amsterdam, Netherlands* For general workshop questions, please contact the UAI 2026 Workshop Chairs at uai2026chairs+workshop at gmail.com. Best regards, Jason Hartford -------------- next part -------------- An HTML attachment was scrubbed... URL: From franca.roccoditorrepadula at unina.it Thu May 14 13:33:48 2026 From: franca.roccoditorrepadula at unina.it (FRANCA ROCCO DI TORREPADULA) Date: Thu, 14 May 2026 17:33:48 +0000 Subject: Connectionists: =?windows-1252?q?CFP=3A_WAFL_2026_=40_ECML-PKDD_?= =?windows-1252?q?=96_Submission_Deadline_June_5_-_Submit_Your_Work_on_Fed?= =?windows-1252?q?erated_Learning?= In-Reply-To: References: Message-ID: _______________________________________________________________________________________ WAFL 2026 ? Call for Papers 4th Workshop on Advancements in Federated Learning (WAFL) Towards Trustworthy Federated Learning https://wafl2026.di.unito.it/ Co-located with ECML-PKDD 2026, Naples, Italy _______________________________________________________________________________________ Dear colleagues, We are happy to invite you to submit your work to the 4th Workshop on Advancements in Federated Learning (WAFL) Please feel free to share this call with colleagues and interested researchers. IMPORTANT DATES ? Submission deadline: June 5th, 2026 ? Author notification: July 1st, 2026 ? Camera-ready: July 10th, 2026 ? Workshop: September 11th, 2026 ABOUT THE WORKSHOP As machine learning systems become increasingly embedded in society, concerns around privacy, fairness, robustness, and regulatory compliance continue to grow?especially under frameworks such as the GDPR and the European AI Act (2024). Federated Learning (FL) enables collaborative model training without sharing raw data, but also raises challenges such as adversarial robustness, bias from heterogeneous data, and limited transparency. WAFL 2026 focuses on Federated Learning, bringing together contributions addressing fairness, privacy, robustness, accountability in decentralized AI and with a major focus on trustworthiness of federated learning systems. TOPICS OF INTEREST ? Algorithmic and theoretical advances in FL ? FL under non-IID data distributions ? Privacy and security (e.g., differential privacy, adversarial/poisoning attacks, secure aggregation) ? Fairness, interpretability, and explainability in FL ? Decentralized and peer-to-peer FL ? Transparency and accountability ? Regulatory compliance (GDPR, EU AI Act) ? Real-world applications (e.g., healthcare, finance, edge devices) ? Tools and benchmarks for FL SPECIAL ISSUE Selected papers will be invited to a special issue on ?Trustworthy and Responsible Federated Learning? in Discover Artificial Intelligence (Springer): https://link.springer.com/collections/fdcjaidaif SUBMISSION DETAILS ? Long papers: 12 pages + references + supplementary ? Short papers: 6 pages + references + supplementary ? Non-archival submissions allowed Submissions follow ECML-PKDD guidelines and will undergo double-blind review. Submission: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FECMLPKDDWT2026%2FSubmission%2FIndex (select WAFL track) Accepted papers will be presented at the workshop and included (optional) in Springer CCIS proceedings. ________________________________ For more information: https://wafl2026.di.unito.it/ Contact: franca.roccoditorrepadula at unina mirko.polato at unito.it roberto.esposito at unito.it mfisichella at l3s.de Best regards, WAFL 2026 Organizing Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From michal.ptaszynski at gmail.com Fri May 15 03:21:36 2026 From: michal.ptaszynski at gmail.com (Ptaszynski Michal) Date: Fri, 15 May 2026 16:21:36 +0900 Subject: Connectionists: [CfP] Information Processing & Management (Impact Factor: 6.9), Special Issue on "Multilingual and Multimodal Solutions for Low-Resource, Indigenous, Endangered Languages and Dialects" Message-ID: <40FD71BB-ED88-4882-90B1-89F81CEA13F8@gmail.com> Dear Colleagues, ** Apologies for cross-posting ** This is Michal Ptaszynski from Kitami Institute of Technology, Japan. We are accepting papers for the Information Processing & Management (IP&M) (IF: 6.9) journal Special Issue on "Multilingual and Multimodal Solutions for Low-Resource, Indigenous, Endangered Languages and Dialects". The submission closes on August 31, 2027, but your paper will be reviewed immediately after submission and will be published as soon as it is accepted. We hope you will consider submitting your paper. https://www.sciencedirect.com/special-issue/333393/multilingual-and-multimodal-solutions-for-low-resource-indigenous-endangered-languages-and-dialects Best regards, Michal PTASZYNSKI, Ph.D., Professor Text Information Processing Laboratory Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan TEL/FAX: +81-157-26-9327 michal at mail.kitami-it.ac.jp ================================================================= Call for Papers: Special Issue on "Multilingual and Multimodal Solutions for Low-Resource, Indigenous, Endangered Languages and Dialects" Journal: Information Processing & Management (Impact Factor: 6.9) ================================================================= Guest Editors: - Karol Nowakowski (University of Yamanashi) [Managing Guest Editor] - Miyagawa So (University of Tsukuba) - Michal Ptaszynski (Kitami Institute of Technology) ----------------------------------------------------------------- INTRODUCTION ----------------------------------------------------------------- Of the approximately 7,000 languages spoken in the world today, more than 40% are considered endangered, and many indigenous languages exist without any significant digital presence or computational support. At the same time, recent advances in large language models (LLMs), multimodal AI, and cross-lingual transfer learning have dramatically raised the bar for what language technology can achieve - yet the overwhelming majority of these advances continue to benefit only a small number of high-resource languages. This Special Issue of Information Processing & Management addresses that gap directly. We invite submissions that develop, adapt, or evaluate multilingual and multimodal computational methods specifically targeting low-resource, indigenous, and endangered languages and dialects. Our goal is to bring together high-quality research that is both technically rigorous and culturally grounded, and to establish a landmark reference for this rapidly growing field. ----------------------------------------------------------------- TOPICS OF INTEREST ----------------------------------------------------------------- We welcome submissions on a wide range of topics, including but not limited to: - Construction and curation of corpora, lexicons, and annotated datasets for low-resource and endangered languages - Transfer learning, cross-lingual adaptation, and zero/few-shot methods for under-resourced languages - Speech recognition, text-to-speech, and spoken language processing for endangered and indigenous languages - Multimodal approaches combining text, audio, image, and video for language documentation and revitalization - Machine translation and cross-lingual information retrieval for minority languages and dialect varieties - NLP tools for morphologically rich, agglutinative, or polysynthetic languages - Community-centered and participatory frameworks for language technology development - Dialect identification, code-switching, and multilingual information extraction - Applications of LLMs and vision-language models (VLMs) in low-resource settings - Ethical, cultural, and data sovereignty considerations in language technology for indigenous communities ----------------------------------------------------------------- SUBMISSION GUIDELINES ----------------------------------------------------------------- Manuscripts submitted to this Special Issue must adhere to the author guidelines of Information Processing & Management: https://www.sciencedirect.com/journal/information-processing-and-management/publish/guide-for-authors All submissions must be original, unpublished works not currently under review at any other venue. Each manuscript will undergo a rigorous double-blind peer review process. Please ensure your submission is fully anonymized in accordance with the journal's double-blind review policy before uploading. ----------------------------------------------------------------- IMPORTANT DATES ----------------------------------------------------------------- Manuscript submission period starts: 2026-04-31 Manuscript submission period ends: 2027-08-31 Note: Manuscripts will be reviewed on a rolling basis in the order of submission. Early submission is strongly encouraged. ----------------------------------------------------------------- HOW TO SUBMIT ----------------------------------------------------------------- Submissions should be made through the journal's online Editorial Manager portal: https://www.editorialmanager.com/ipm/ When submitting, please select the article type "VSI: MMLowRes" to ensure your manuscript is correctly routed to the Special Issue. For questions about scope, fit, or any other inquiries, please contact the Karol Nowakowski (Managing Guest Editor) or Michal Ptaszynski. Karol Nowakowski - nowakowski at yamanashi.ac.jp Michal Ptaszynski - michal at mail.kitami-it.ac.jp ----------------------------------------------------------------- CLOSING NOTE ----------------------------------------------------------------- The documentation, preservation, and revitalization of the world's linguistic diversity is one of the most time-sensitive challenges at the intersection of AI and the humanities. We warmly invite researchers from academia and industry ? across NLP, information science, linguistics, cognitive science, and related fields ? to contribute their latest work to this Special Issue. By bringing together a coherent collection of high-quality papers on multilingual and multimodal solutions for low-resource and endangered languages, we aim to advance the state of the art, foster international and interdisciplinary collaboration, and help ensure that the benefits of modern language technology reach the communities that need them most. We look forward to your contributions. Sincerely, on behalf of all Guest Editors Michal Ptaszynski ================================================================= From mlas at fi.upm.es Thu May 14 11:24:01 2026 From: mlas at fi.upm.es (mlas at fi.upm.es) Date: Thu, 14 May 2026 17:24:01 +0200 (CEST) Subject: Connectionists: XVIII Madrid UPM Machine Learning and Advanced Statistics Summer School (June 8th - June 19th, 2026) - Early registration reminder Message-ID: <824009085.0.1778772241426.JavaMail.bmihaljevic@lenovo> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Machine Learning and Advanced Statistics summer school is open until May 31, 2026. The 2026 edition comprises 12 week-long courses (15 lecture hours each), given over two weeks. Attendees may register in each course independently, subject to timetable compatibility. KEY INFORMATION Dates: June 8-19, 2026 Venue: Boadilla del Monte, near Madrid Early registration: open until May 31, 2026 Website: https://dia.fi.upm.es/MLAS Discount: 25% for members of the Spanish AEPIA and SEIO societies COURSES ======= WEEK 1: June 8-12, 2026 ---------------------- 09:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R. Course 2: Metaheuristics for Optimization (15 h) Single-solution metaheuristics. Evolutionary algorithms. Algorithms based on estimation of distributions. Other population-based algorithms. Multi-objective optimization using evolutionary algorithms. 13:45-16:45 Course 3: Supervised Classification (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Python. Course 4: Reinforcement Learning (15 h) Introduction. Dynamic programming methods. Temporal-difference learning. Policy gradient methods. Offline reinforcement learning. Practical demonstration: R. 17:00-20:00 Course 5: Deep Learning (15 h) Introduction. Learning algorithms. Learning in deep networks. Deep learning for computer vision. Deep learning for language. Practical session: Python notebooks with Google Colab, Keras, PyTorch and Hugging Face Transformers. Course 6: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and hierarchical models. Model selection. Practical demonstration: R and WinBugs. WEEK 2: June 15-19, 2026 ----------------------- 09:45-12:45 Course 7: Causality (15 h) Introduction. Causal graphs. Mediation analysis. Instrumental variables. Counterfactual fairness. Practical sessions: R. Course 8: Clustering (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R. 13:45-16:45 Course 9: Gaussian Processes, Bayesian Deep Learning and Bayesian Optimization (15 h) Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Bayesian deep learning. Introduction to Bayesian optimization. Practical demonstration: Python using GPyTorch, PyTorch and BoTorch. Course 10: Explainable Machine Learning (15 h) Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Beyond tabular and i.i.d. data. Other topics. Practical demonstration: Python with Google Colab. 17:00-20:00 Course 11: Generative AI (15 h) Introduction to the course. Neural networks and deep learning. Generative AI for images. Generative AI for language. Hands-on session: PyTorch, VAEs, GANs, diffusion models, LLMs, aligning a generative LLM, using an open-source image generation model. Course 12: AI for the Health Domain (15 h) Introduction to AI in healthcare. AI to conversational agents and drug repurposing. From manifolds to foundation models. AI for real-world clinical data. Please forward this information to colleagues, students, and anyone who may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Laura Gonzalez Veiga. -- School coordinators. From emanuele.nardone at unicas.it Fri May 15 12:50:53 2026 From: emanuele.nardone at unicas.it (Emanuele NARDONE) Date: Fri, 15 May 2026 18:50:53 +0200 Subject: Connectionists: [Final Deadline] BIOMAP 2026 - International Workshop on Bio-Inspired Methods for Pattern Recognition (BIOMAP 2026) Message-ID: *International Workshop on Bio-Inspired Methods for Pattern Recognition (BIOMAP 2026) - August 22, 2026 ** (PDF )* The workshop will be held in conjunction with *ICPR 2026 * (*28th International Conference on Pattern Recognition, Lyon, France, August 17-22, 2026*) The workshop will present recent advances in bio-inspired intelligence, such as swarm intelligence and evolutionary computation, as a framework for advanced pattern recognition. Its main goal is to link the bio-inspired intelligence and pattern recognition communities to foster the development of robust, efficient, and adaptive solutions for challenging real-world problems. *? TOPICS OF INTEREST* Topics include, but are not limited to: - Evolutionary neural architecture discovery - Swarm intelligence for distributed patterns - Self-organising and adaptive vision - Artificial life and emergent patterns - Evolutionary multi-objective optimisation - Applications and grand challenges (medical imaging, autonomous driving, remote sensing, biometrics, industrial inspection) - and more .. *? IMPORTANT DATES* - Paper Submission Deadline *(Final DEADLINE)*: May 25, 2026 - Notification of Acceptance: June 10, 2026 - Camera-Ready Submission: June 18, 2026 (strict deadline) *? SUBMISSION DETAILS* Workshop proceedings will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. Authors must use the LNCS paper format available on the ICPR 2026 website. *Page Limits & Eligibility:* - Maximum length: 15 pages (including references) - Only full papers (more than 6 pages) will be published in the proceedings *Originality & Review:* Authors are invited to submit original papers that have not been published or submitted for publication elsewhere. All submissions will undergo a double-blind review process. *Registration:* Each accepted paper must have a presenting author registered. Registration details will be available via the ICPR 2026 registration link. *? WORKSHOP CHAIRS* - Francesco Fontanella , University of Cassino and Southern Lazio, Italy - Emanuele Nardone , University of Cassino and Southern Lazio, Italy - Leonardo Vanneschi , NOVA IMS, Universidade Nova de Lisboa, Portugal *?? CONTACT* For inquiries, please contact: Emanuele Nardone @Emanuele NARDONE We look forward to your submissions and to seeing you in Lyon! -------------- next part -------------- An HTML attachment was scrubbed... URL: From auke.ijspeert at epfl.ch Sat May 16 04:47:05 2026 From: auke.ijspeert at epfl.ch (Auke Ijspeert) Date: Sat, 16 May 2026 10:47:05 +0200 Subject: Connectionists: Postdoc and PhD student position at EPFL about investigating human locomotion using neuromechanical simulations and humanoid robots Message-ID: *Postdoc and PhD student position for a project investigating and leveraging the neuromechanics of human locomotion using humanoid robots ?(Fall 2026)* The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/) at EPFL (Lausanne, Switzerland) has one Postdoc and one PhD student position for a project aiming at investigating and leveraging the neuromechanics of human locomotion using humanoid robots. See https://www.epfl.ch/labs/biorob/openings/ The objectives of the project are (1) to investigate the principles of healthy and pathological human locomotion using numerical models (neuromechanical simulations), and (2) to use insights from biology to develop bio-inspired locomotion controllers to be used together with reinforcement learning on humanoid robots. *Background:* The versatility of human locomotion is still not well understood from a neuroscience point of view nor well replicated in humanoid robots. In particular, the interactions between higher centers (e.g. the motor cortex), the spinal cord and the musculoskeletal system are poorly understood. The goal of this project is to develop a computational architecture that (i) integrates both spinal cord circuits and supraspinal control; (ii) uses deep reinforcement learning for supraspinal planning and learning, (iii) allows testing hypotheses about human motor control and pathologies at a conceptual level, and (iv) can serve as basis for controlling and learning versatile motor skills in humanoid robots. *Requirements:* The goal would be to hire one researcher with a background in computational neuroscience (idealy with experience in numerical models of human locomotion) and one researcher with a background in robotics (ideally with expertise in the control of legged or humanoid robots). The ideal candidates should also have strong backgrounds in math and programming, and an interest in interdisciplinary research. *Deadline and starting date:* Applications will be considered starting from now on, and then continuously until the position is filled. A good starting date would be *September 2026.* *Application: *See https://www.epfl.ch/labs/biorob/openings/ -- ----------------------------------------------------------------- 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 shervin.safavi at gmail.com Sat May 16 16:44:40 2026 From: shervin.safavi at gmail.com (Shervin Safavi) Date: Sat, 16 May 2026 22:44:40 +0200 Subject: Connectionists: Two open PhD positions at MPI for Biological Cybernetics in newly established group "Natural Decision Making" (PI: Roxana Zeraati) In-Reply-To: References: Message-ID: Dear Colleagues, I'm sending this email on behalf of Dr. Roxana Zeraati, for 2 PhD positions at MPI for Biological Cybernetics in her recently established group of "Natural Decision Making" . Here you can find more information about the PhD positions and the application process: https://nextcloud.tuebingen.mpg.de/index.php/s/bYwTJibWPXW6NMH Apologies for cross-posting. Best wishes, Shervin ---------- Forwarded message --------- From: Roxana Zeraati Date: Sat, May 16, 2026 at 10:21?PM Subject: Two open PhD positions at MPI for Biological Cybernetics To: Shervin Safavi Dear Shervin, As you know, I'm starting my group at MPI for Biological Cybernetics, and we now have two open PhD positions. I'd appreciate it if you could forward the call to people in your network and anyone who might be interested: https://nextcloud.tuebingen.mpg.de/index.php/s/bYwTJibWPXW6NMH They can also learn more about our group's research here: https://www.kyb.tuebingen.mpg.de/906930/natural-decision-making Many thanks and very much looking forward to our continued, exciting collaborations! Best wishes, Roxana -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Fri May 15 10:47:07 2026 From: terry at salk.edu (Terry Sejnowski) Date: Fri, 15 May 2026 07:47:07 -0700 Subject: Connectionists: NEURAL COMPUTATION - May 1, 2026 In-Reply-To: Message-ID: NEURAL COMPUTATION - Volume 38, Number 5 - May 1, 2026 http://www.mitpressjournals.org/toc/neco/38/5 http://cognet.mit.edu/content/neural-computation Article Cognitive Control Strategies Derive From Dimension Reliability William Alexander Letters Infinite Horizon Control Captures Modulation of Movement Duration in Reaching Movements Antoine De Comite, Hari Teja Kalidindi, J. Andrew Pruszynski, and Fr?d?ric Crevecoeur Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Time Scales Veronica Centorrino, Francesco Bullo, and Giovanni Russo Echoes of the Past: A Unified Perspective on Fading Memory and Echo States Juan-Pablo Ortega and Florian Rossmannek Signal-Dependent Planning Noise Reduces Task Interference by Assisting in the Formation of Stable Motor Primitives in a Neural Network Model of Muscle Coordination Learning Daniel Wang Feng, Juan Carlos Perez-Ibarra, and David J Reinkensmeyer ----- 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 xiquan.cui at workday.com Fri May 15 11:10:07 2026 From: xiquan.cui at workday.com (Xiquan Cui) Date: Fri, 15 May 2026 15:10:07 +0000 Subject: Connectionists: CFP: RecSys 2026 Workshop on Online and Adaptive Recommender Systems (OARS) Message-ID: RecSys 2026 Workshop on Online and Adaptive Recommender Systems (OARS) Call For Papers ================== RecSys OARS is a half day workshop taking place on September 28, 2026 in conjunction with RecSys 2026 in Minneapolis, Minnesota, USA. Workshop website: https://oars-workshop.github.io/ Important Dates: ================== - Call for Papers publication: April 21, 2026 - Submissions Due - July 20, 2026 - Notification - August 14, 2026 - Camera Ready Version of Papers Due - August 28, 2026 - Workshop Day - September 28, 2026 Details: ================== The international workshop on Online and Adaptive Recommender Systems (OARS) will serve as a platform for publication and discussion of OARS. It will bring together practitioners and researchers from academia and industry to discuss the challenges and new approaches to implement OARS algorithms/systems and improve user experiences by better modeling and responding to user intent. We invite submission of papers and posters, representing original research, new position and opinion, preliminary results, proposals for new tools, datasets, and resources. All submitted papers will be double-blind and will be peer reviewed by an international program committee of researchers of high repute. Accepted submissions will be presented at the workshop. Topics of interest include, but are not limited to: ==================================== * Agentic recommender systems, assistant-style interfaces, memory and tool-use (2026 special theme) * LLMs and foundation models in RecSys: semantic IDs, tokenization, multi-modality, in-context learning * Online and continual learning, reinforcement learning, bandits, and counterfactual evaluation * Real-time user intent modeling, session-aware and conversational recommendation * Cold-start, distribution shift, and robustness under data sparsity * Predictive analytics and causal inference for recommendation * New architectures: RAG-based, streaming and event-driven, scalable learning * Evaluation, explanation, and off-policy methods for OARS * Privacy, ethics, fairness, and user welfare in OARS * Industry deployments, infrastructure, and real-world case studies Submission Instructions: ================== All papers will be peer reviewed by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. All submissions must be formatted according to the ACM Conference Proceeding templates (two column format). Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. All submissions must be in English. Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper in-person. Submissions to RecSys OARS workshop should be made to the track of ?Online and Adaptive Recommender System? at https://easychair.org/my/conference?conf=recsys2026workshops ORGANIZERS: ================== Xiquan Cui Workday, USA Derek Zhiyuan Cheng Google, USA Fei Liu Emory University, USA Tao Ye Lyft, USA Julian McAuley ??????????????? UCSD, USA Vachik Dave ?????????????????? Walmart Labs, USA Stephen Guo ?????????????????? Indeed, USA Contact: Please direct all your queries to xiquan.cui at workday.com for help. Xiquan [Workday Logo] Xiquan Cui Senior Manager of Agentic AI xiquan.cui at workday.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From cis-ram2026 at outlook.com Fri May 15 21:50:28 2026 From: cis-ram2026 at outlook.com (CIS-RAM 2026) Date: Sat, 16 May 2026 01:50:28 +0000 Subject: Connectionists: Important: CIS-RAM 2026 Late Breaking Reports Deadline Extended to 21 Jun 2026 Message-ID: 12th IEEE International Conference on Cybernetics and Intelligent Systems & Robotics, Automation and Mechatronics (CIS-RAM 2026) 5-7 August 2026 | Changchun, China | https://www.cis-ram.org/2026/ 3 August 2026 | Noida, India (Satellite) Dear Friends and Colleagues, We are delighted to invite you to participate in the 12th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) & the 12th IEEE International Conference on Robotics, Automation and Mechatronics (RAM), which will be held from August 5 to 7, 2026, in the beautiful city of Changchun, China, as well as on 3 August 2026, in Noida, India (Satellite). About CIS-RAM The IEEE International Conferences on CIS-RAM have always been held together, to exploit the synergistic relationship between both areas. CIS-RAM was first held in Singapore in 2004, followed by Thailand in 2006, Chengdu (China) in 2008, Singapore in 2010, Qingdao (China) in 2011, Manila (Philippines) in 2013, Angkor Wat (Cambodia) in 2015, Ningbo (China) in 2017, Bangkok (Thailand) in 2019, Penang (Malaysia) in 2023, and Hangzhou (China) in 2024. The 12th IEEE International Conferences on CIS-RAM will be held in Changchun, China on 5-7 August 2026 and in Noida, India (Satellite) on 3 August 2026. Programs and Topics on CIS Cybernetics Automation and Control, Cooperative Systems and Control, Computational Intelligence, Multi-Agent Systems, Supervisory Control, Hybrid Systems, Neural Networks, Deep Reinforcement Learning, Genetic Algorithms, Evolutionary Computation, Systems Modeling & Control, Optimization, Smart Sensor Networks, Blockchain Technologies, Networked Dynamical Systems, Discrete Event Systems, Swarm Intelligence, Soft Computing, Fuzzy Systems, Decision Support Systems, System of Systems, Big Data, Internet of Things, Image Processing, Environmental Systems, Systems Biology, Cyber-physical Systems, Human/Machine Systems, Transportation Systems, Manufacturing Systems, Smart City, Resource Management, Energy Efficiency, Artificial Intelligence Generated Content, Large Language Models, Natural Language Processing. Programs and Topics on RAM Robotics and Automation in Unstructured Environment, Personal and Service Robotics, Underwater Robotics, Medical Robots and Systems, Social Robotics, Robotics and Automation Applications, Sensor Design, Integration, and Fusion, Robot Vision, Deep Learning, Embodied AI, Human-Robot Interfaces, Haptics, Tele-robotics, Network Robotics, Micro/Nano, Distributed, Cellular, and Multi-robot Systems, Biologically-Inspired Robots and Systems, Intelligent Transportation Systems, Modeling, Planning and Control, Kinematics, Mechanics, and Mechanism Design, Legged Robots, Wheeled Mobile Robots, Aerial Robotics, Dynamics, Motion Control, Force/Impedance Control, Architecture and Programming, Methodologies for Robotics and Automation, Virtual Reality, Localization & Tracking, A Fleet of AGVs. Invited Sessions The conference will feature invited sessions on specialized topics of interests. The invited sessions are intended to usher in-depth discussions in special areas relevant to the conference theme. Best Paper Awards The conference will provide three categories of awards: best conference paper, best student paper and best application paper awards. Paper Submission Papers must be written in English and should describe original work. Papers should be six pages (A4 size) in length, with up to two extra pages. The number of pages includes the references, appendices, etc. All the papers in the conference proceedings will be indexed in the IEEE Library and ISI Proceedings. Please note papers will be published in the conference proceedings only if at least one of the authors is officially registered. Accepted papers will be submitted for possible inclusion into IEEE Xplore subject to meeting IEEE Xplore?s scope and quality requirements. For more details, please check https://www.cis-ram.org/2026/OnlinePaperSubmission.html Important Dates (Rescheduled) Conference/Invited Session Paper Submission, 26 Apr 2026 Notification of Acceptance, 17 May 2026 Final Camera-Ready Deadline, 31 May 2026 Early-bird Registration Deadline, 31 May 2026 Late Breaking Reports Deadline, 21 Jun 2026 For general conference information, please contact the General Chair and the Conference Secretary: cis-ram2026 at outlook.com Sincerely Yours, Rui Ma, Hyung Jin Chang, Xin Wang and Bernard How Publicity Chairs, CIS-RAM 2026 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Thomas.Breideband at colorado.edu Fri May 15 16:26:38 2026 From: Thomas.Breideband at colorado.edu (Thomas Breideband) Date: Fri, 15 May 2026 20:26:38 +0000 Subject: Connectionists: Request to Post: (Postdoctoral) Research Scientist in Statistical Modeling of Educational Data | CU BOULDER | Full-Time Message-ID: Link to posting: https://jobs.colorado.edu/jobs/JobDetail/Postdoctoral-Research-Scientist-in-Statistical-Modeling-of-Educational-Data/71957 The Institute of Cognitive Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow for statistical modeling of educational data. The project focuses on analyzing data pertaining to improving educational outcomes for students. In this position, you will develop and apply analytical techniques to analyze data pertaining to student learning, engagement, and collaborative discourse during small group human tutoring and collaborative problem solving. You will also examine the impacts of interventions to improve various educational outcomes. For early career scholars, this position offers a unique training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. You will be encouraged to develop advanced technical skills, conduct real-world impactful research, strengthen your research portfolio via publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills, and gain expertise in co-authoring grant proposals. More experienced researchers will have the opportunity to hone their skills within a world-class research environment offering outstanding professional development options and an exceptional collaborative environment. What You Should Know - 1-to-3-year position. Initial contract is for one year. - Contract is renewable annually based on performance and availability of funds. - Start date Fall 2026 (desired). - This is a hybrid position encompassing both in-person and work-from-home but the candidate must be located in the Denver Metro Area. What We Can Offer - Salary ranging from $65,000 to $85,000 based on experience and qualifications. - This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals. - May offer relocation expense reimbursement of up to $2500. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Sun May 17 09:38:21 2026 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Sun, 17 May 2026 15:38:21 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Chapters_-_Edited_Volume=3A_?= =?utf-8?q?=E2=80=9CMulti-Task_Learning_in_Engineering=E2=80=9D?= Message-ID: Call for Chapters - Edited Volume: ?Multi-Task Learning in Engineering? Dear Colleagues, We are pleased to invite researchers, scholars, and practitioners to contribute chapters to the forthcoming edited volume entitled ?Multi-Task Learning in Engineering?. This volume aims to provide a comprehensive overview of recent advances at the intersection of Deep Learning, Artificial Intelligence, Generative AI, and Multi-Task Learning (MTL), with particular emphasis on methodologies, theoretical developments, computational frameworks, and real-world engineering applications. The book will specifically focus on the role of MTL in engineering and applied scientific contexts, including?but not limited to?biomedicine, robotics, intelligent automation, industrial systems, computational optimization, and materials design. Particular attention will be devoted to performance efficiency, scalable architectures, optimization strategies, and domain-specific adaptations of MTL approaches in practical environments. We welcome contributions including: * Original research chapters, * Survey and review chapters, * Industrial and application-oriented case studies. Each chapter should be between 20 and 40 pages, including figures, tables, and references. Deadlines: 1 August 2026: Submission of intention to contribute, including proposed topic(s) and a tentative chapter title 1 October 2026: Full chapter submission 1 December 2026: Notification of review results and editorial feedback 1 February 2027: Submission of revised final chapters Submission Guidelines: Chapter submissions should be sent to: multitasklearning.book at gmail.com Authors are kindly requested to include the following editors in CC: pardalos at ufl.edu giuseppe.nicosia at unict.it giulio.giaquinta7 at gmail.com Editors Panos Pardalos ? University of Florida, USA Giuseppe Nicosia ? University of Catania, Italy Giulio Giaquinta ? University of Padova, Italy We look forward to receiving your valuable contributions, Panos Pardalos, Giuseppe Nicosia and Giulio Giaquinta. -------------- next part -------------- An HTML attachment was scrubbed... URL: From gualtiero.volpe at unige.it Sun May 17 15:53:11 2026 From: gualtiero.volpe at unige.it (Gualtiero Volpe) Date: Sun, 17 May 2026 21:53:11 +0200 (CEST) Subject: Connectionists: ACM ICMI 2026 Call for Demonstrations and Exhibits Message-ID: <903207200.18.1779047591689@localhost> ICMI 2026 CALL FOR DEMONSTRATIONS & EXHIBITS =============================================== 5-9 October 2026, Napoli - Italy https://icmi.acm.org/2026/ =============================================== We invite submissions for Demonstrations and Exhibits at the 28th ACM International Conference on Multimodal Interaction (ICMI 2026), taking place October 5?9, 2026, in Napoli, Italy. This track is your chance to showcase cutting-edge multimodal systems, interactive technologies, and innovative applications?from early-stage prototypes to mature products. Two submission types: * Demonstrations: 2?3 page paper (published in ACM proceedings) + video * Exhibits: Short proposal (no proceedings paper) + video All submissions require a video (<=200MB) to illustrate your system. Accepted presenters will be provided with: * Demo table & poster board * Power access * Shared wireless internet Important Dates * Submission deadline: June 21, 2026 * Notification: July 15, 2026 * Final papers (demos): August 2, 2026 Submission guidelines: https://icmi.acm.org/2026/guidelines/ At least one author must register and attend the conference. Questions? Contact the Demo & Exhibits Chairs: Micol Spitale & Josh Andres ? icmi2026-demo-exhibits-chairs at acm.org Bring your ideas to life and engage the ICMI community in Napoli! From dhansel0 at gmail.com Sun May 17 11:37:55 2026 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 17 May 2026 22:37:55 +0700 Subject: Connectionists: World wide VVTNS series (6th season): Towards a general model of human reward-based learning | Maria Eckstein Google Deepmind | Wednesday, May 20, 2026, at 11:00 am ET 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 Maria Eckstein Google Deepmind on the topic of Towards a general model of human reward-based learning The lecture will be held on Zoom on May 20, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page >> > > *Abstract: *Traditional work in the study of human reward-based learning involves designing an experimental task---often inspired by Reinforcement Learning (RL) theory---and fits a small set of computational models---often inspired by RL algorithms---to that dataset. For example, researchers often model human behavior on bandit tasks using variants of Q-learning. While this approach has been highly productive, leading to landmark discoveries such as the dopamine reward prediction error hypothesis, it also has limitations. This talk focuses on the lack of generalizability of such models: Even if they closely fit behavior on the original task, models derived from the one-task-one-model paradigm usually predict behavior on other tasks quite poorly. I argue that this lack of generalizability is a fundamental problem for the cognitive sciences: we intuitively expect our models to be robust to superficial task differences, such as variations in the number of choice options, reward probabilities, or the exact kind of non-stationarity. I will propose potential solutions to this problem along two dimensions: the behavioral dataset and the computational model. Regarding computational models, I will introduce work in which we moved beyond the limitations of hand-crafted one-off models by employing flexible, data-driven methods. These methods allowed us to compare classes of models instead of individual model instances, allowing us to cover the space of possible models more exhaustively, and innovate cognitive mechanisms very efficiently. For the behavioral dataset, we move from using single learning tasks to a comprehensive task space that encompasses most existing paradigms in the literature, while closing the gaps between them in a near-continuous fashion. Our results suggest that more general models in conjunction with broader datasets can pave the road toward increasingly general models of human reward-based learning and decision making, and a persistent departure from many aspects of RL theory. *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 emanuele.nardone at unicas.it Mon May 18 06:48:47 2026 From: emanuele.nardone at unicas.it (Emanuele NARDONE) Date: Mon, 18 May 2026 13:48:47 +0300 Subject: Connectionists: [BDCC] [Special Issue] - AI-Driven Pattern Recognition for Next-Generation Biometrics Message-ID: ? Warm greetings from the Editorial Office of Big Data and Cognitive Computing (BDCC). ? BDCC currently has an Impact Factor of 4.4 and a CiteScore of 9.8. The journal is indexed in Scopus, ESCI (Web of Science), dblp, Inspec, Ei Compendex, and other major databases. Further information about the journal is available at: https://www.mdpi.com/journal/BDCC ? We are pleased to invite submissions to the Special Issue ?AI-Driven Pattern Recognition for Next-Generation Biometrics?, which will be published in BDCC. The submission deadline is 26 February 2027. ? Further details about the Special Issue are available here: https://www.mdpi.com/journal/BDCC/special_issues/7YDN2807HK ? Topics of interest include, but are not limited to: ? Artificial intelligence ? Biometrics ? Pattern recognition ? Cognitive computing ? Multi-modal fusion ?? Security and spoof detection ? IoT and smart environments ? Privacy-preserving authentication ? As BDCC is a fully open-access journal, an article processing charge (APC) of CHF 1800 currently applies to all accepted papers. MDPI also offers an Institutional Open Access Program (IOAP), through which authors affiliated with participating institutions may be eligible for APC discounts: https://www.mdpi.com/about/ioap ?? Review vouchers may also be used where applicable. Further information about discounts and waivers is available at: https://www.mdpi.com/apc ? Thank you in advance for your consideration. For any questions regarding APC discounts, please feel free to contact Vega Wang at vega.wang at mdpi.com. ? We look forward to receiving your submissions. Kind regards, Prof. Dr. Claudio De Stefano Dr. Tiziana D?Alessandro Dr. Emanuele Nardone Guest Editors -------------- next part -------------- An HTML attachment was scrubbed... URL: From oezdenizci at tugraz.at Mon May 18 08:56:04 2026 From: oezdenizci at tugraz.at (=?UTF-8?Q?Ozan_=C3=96zdenizci?=) Date: Mon, 18 May 2026 14:56:04 +0200 Subject: Connectionists: Open PhD Position at the Institute of Machine Learning and Neural Computation, TU Graz Message-ID: Dear all, We have an open PhD position in our research group at the Institute of Machine Learning and Neural Computation, Graz University of Technology, Austria. We are offering a 3-year doctoral researcher position focused on reliable and resource-efficient deep learning techniques, with an emphasis on spike-based neural computation in modern learning systems. The doctoral research will address both fundamental and applied algorithmic questions in learning methods and neural architectures. More information on the position and how to apply: https://www.tugraz.at/institute/iml/institute/open-positions#c725665 Best regards, Ozan ?zdenizci -- Dr. Ozan ?zdenizci Assistant Professor Institute of Machine Learning and Neural Computation Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria From dhansel0 at gmail.com Tue May 19 01:48:21 2026 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 19 May 2026 12:48:21 +0700 Subject: Connectionists: REMINDER: World wide VVTNS series (6th season): Towards a general model of human reward-based learning | Maria Eckstein Google Deepmind | Wednesday, May 20, 2026, at 11:00 am ET 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 Maria Eckstein Google Deepmind on the topic of Towards a general model of human reward-based learning The lecture will be held on Zoom on May 20, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Traditional work in the study of human reward-based learning involves designing an experimental task---often inspired by Reinforcement Learning (RL) theory---and fits a small set of computational models---often inspired by RL algorithms---to that dataset. For example, researchers often model human behavior on bandit tasks using variants of Q-learning. While this approach has been highly productive, leading to landmark discoveries such as the dopamine reward prediction error hypothesis, it also has limitations. This talk focuses on the lack of generalizability of such models: Even if they closely fit behavior on the original task, models derived from the one-task-one-model paradigm usually predict behavior on other tasks quite poorly. I argue that this lack of generalizability is a fundamental problem for the cognitive sciences: we intuitively expect our models to be robust to superficial task differences, such as variations in the number of choice options, reward probabilities, or the exact kind of non-stationarity. I will propose potential solutions to this problem along two dimensions: the behavioral dataset and the computational model. Regarding computational models, I will introduce work in which we moved beyond the limitations of hand-crafted one-off models by employing flexible, data-driven methods. These methods allowed us to compare classes of models instead of individual model instances, allowing us to cover the space of possible models more exhaustively, and innovate cognitive mechanisms very efficiently. For the behavioral dataset, we move from using single learning tasks to a comprehensive task space that encompasses most existing paradigms in the literature, while closing the gaps between them in a near-continuous fashion. Our results suggest that more general models in conjunction with broader datasets can pave the road toward increasingly general models of human reward-based learning and decision making, and a persistent departure from many aspects of RL theory. *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 giovanni.stanco at unina.it Mon May 18 18:45:32 2026 From: giovanni.stanco at unina.it (GIOVANNI STANCO) Date: Mon, 18 May 2026 22:45:32 +0000 Subject: Connectionists: [ACM CoNEXT 2026] Call for papers - June Submission In-Reply-To: References: Message-ID: Dear colleagues, You are invited to submit your high-quality work to the upcoming ACM CoNEXT 2026. =========================================== December 7-10, 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 June Submissions ---------------------- * Paper Registration: May 29th, 2026 * Paper Submission: June 5th, 2026 * Early reject notification: July, 2026 * Notification of Acceptance: September 11th, 2026 * Camera Ready for accepted papers: October 12th, 2026 * Publication of accepted papers: December 2026 issue of PACMNET For papers given the one-shot major revision option: * Major revision due: November 12th, 2026 * Final decision: December 15th, 2026 * Camera Ready for accepted papers: January 21st, 2027 * Publication of accepted papers: March 2027 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 akirapunk at gmail.com Tue May 19 17:08:49 2026 From: akirapunk at gmail.com (Nicola Catenacci) Date: Tue, 19 May 2026 22:08:49 +0100 Subject: Connectionists: =?utf-8?q?IMOL_Online_Seminar_=E2=80=93_Karl_Fris?= =?utf-8?b?dG9uOiDigJxUaGUgUGh5c2ljcyBvZiBNb3RpdmF0aW9u4oCdIOKAkyAx?= =?utf-8?q?7_June_2026?= Message-ID: [Apologies for multiple posts; please distribute to interested people] Dear colleagues, We are pleased to launch the *Intrinsically Motivated and Open-ended Learning (IMOL) Online Seminar Series*. IMOL research explores how learning systems can autonomously generate goals, acquire skills, and continually adapt through open-ended interactions with the environment. Inspired by mechanisms observed in humans and animals, such as intrinsic motivations and self-motivated behaviour, the field brings together ideas from AI, robotics, neuroscience, developmental psychology, and cognitive science. The series will host leading scientists presenting recent advances and perspectives on IMOL themes and related topics. We are honoured to announce that the first seminar in the series will be delivered by *Professor Karl Friston (UCL, UK), who will present a talk entitled ?The Physics of Motivation? the 17th of June 2026*. More information about the talk, together with the online meeting link, is provided below. The seminar series is organised by the IMOL Community, which also coordinates the IMOL workshop series and related initiatives. If you are interested in learning more about IMOL, or getting involved in the community, we encourage you to apply for membership ( http://www.imol-community.org/) and subscribe to the mailing list ( https://groups.google.com/g/imol-community). We look forward to seeing you on June 17th. Best regards, Nicola ************ MEETING DETAILS ************ - TITLE: The physics of motivation - WHEN: 17th of June, 16:30 (UCT+1; BST) - LINK: IMOL seminar - Karl Friston | Meeting-Join | Microsoft Teams - ABSTRACT: This overview of the free energy principle offers an account of embodied exchange with the world that associates neuronal operations with actively inferring the causes of our sensations. Its agenda is to link formal (mathematical) descriptions of dynamical systems to a description of perception in terms of beliefs and goals. The argument has two parts: the first calls on the lawful dynamics of any (weakly mixing) ergodic system ? from a single cell organism to a human brain. These lawful dynamics suggest that (internal) states can be interpreted as modelling or predicting the (external) causes of sensory fluctuations. In other words, if a system exists, its internal states must encode probabilistic beliefs about external states. Heuristically, this means that if I exist (am) then I must have beliefs (think). The second part of the argument is that the only tenable beliefs I can entertain about myself are that I exist. This may seem rather obvious; however, it transpires that this is equivalent to believing that the world ? and the way it is sampled ? will resolve uncertainty about the causes of sensations. We will consider the implications for functional anatomy, in terms of predictive coding and hierarchical architectures, and conclude by looking at the epistemic behaviour that emerges ? using simulations of active inference. - SPEAKER: *Karl J. Friston*, MBBS, MA, MRCPsych, MAE, FMedSci, FRBS, FRS. Professor: Queen Square Institute of Neurology, University College London. Honorary Consultant: The National Hospital for Neurology and Neurosurgery. Karl Friston is a theoretical neuroscientist and authority on brain imaging. He invented statistical parametric mapping (SPM), voxel-based morphometry (VBM) and dynamic causal modelling (DCM). These contributions were motivated by schizophrenia research and theoretical studies of value-learning, formulated as the dysconnection hypothesis of schizophrenia. Mathematical contributions include Variational Laplace and generalized filtering for hierarchical Bayesian model inversion. Friston currently works on models of functional integration in the human brain and the principles that underlie neuronal interactions. His main contribution to theoretical neurobiology is a free-energy principle for action and perception (active inference). Friston received the first Young Investigators Award in Human Brain Mapping (1996) and was elected a Fellow of the Academy of Medical Sciences (1999). In 2000 he was President of the international Organization of Human Brain Mapping. In 2003 he was awarded the Minerva Golden Brain Award and was elected a Fellow of the Royal Society in 2006. In 2008 he received a Medal, College de France and an Honorary Doctorate from the University of York in 2011. He became of Fellow of the Royal Society of Biology in 2012, received the Weldon Memorial prize and Medal in 2013 for contributions to mathematical biology and was elected as a member of EMBO (excellence in the life sciences) in 2014 and the Academia Europaea in (2015). He was the 2016 recipient of the Charles Branch Award for unparalleled breakthroughs in Brain Research and the Glass Brain Award, a lifetime achievement award in the field of human brain mapping. He holds Honorary Doctorates from the Universities of York, Zurich and Radboud University. ------------------------------------------------------------------------------------------------------------------------------- Dr. Nicola Catenacci Volpi, PhD Research Fellow in Information Theory for AI & Robotics Adaptive Systems Research Group The University of Hertfordshire School of Computer Science College Lane Hatfield, Hertfordshire AL10 9AB United Kingdom E-mail: n.catenacci-volpi at herts.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From mohijab at hbku.edu.qa Wed May 20 03:29:19 2026 From: mohijab at hbku.edu.qa (Dr. Mohamad Hassan Hijab) Date: Wed, 20 May 2026 07:29:19 +0000 Subject: Connectionists: =?windows-1252?q?Postdoc_Opportunity_=97_A-Sense_?= =?windows-1252?q?Centre_of_Excellence=2C_HBKU=2C_Qatar_=28Computer_Vision?= =?windows-1252?q?=29?= Message-ID: Dear all, We are pleased to share an opening for a Postdoctoral Researcher at A-Sense: Autism Sensing Center of Excellence (https://www.hbku.edu.qa/en/cse/a-sense), College of Science and Engineering, Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar. We are looking for a candidate with strong expertise in Computer Vision, Deep Learning, and Machine Learning to contribute to research focused on behavioral analysis from video data related to autism assessment, classification, detection, and intervention. The position is based at HBKU, Qatar Foundation, Doha, Qatar, with an initial appointment of one year, renewable based on performance and mutual interest. Applicants should have: * A Ph.D. in Computer Science or a related field with clear application in Computer Vision * Strong experience with deep learning, machine learning, and computer vision * Proficiency in Python and frameworks such as PyTorch, TensorFlow, Keras, OpenCV, or related tools * A strong publication record and excellent English writing skills Interested candidates are invited to apply through the following application form: https://lnkd.in/dAyYsdy5 We would be grateful if you could share this opportunity with suitable candidates within your network. Best regards, Dr. Mohamad Hassan Hijab Laboratory Manager College of Science and Engineering www.hbku.edu.qa [HBKU-RGB.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: C2_signature_hbku-rgb_c9af2528-b5e0-4a71-adfe-4b9087f52795.png Type: image/png Size: 14098 bytes Desc: C2_signature_hbku-rgb_c9af2528-b5e0-4a71-adfe-4b9087f52795.png URL: From per.ahag at umu.se Tue May 19 10:02:43 2026 From: per.ahag at umu.se (=?Windows-1252?Q?Per_=C5hag?=) Date: Tue, 19 May 2026 14:02:43 +0000 Subject: Connectionists: =?windows-1252?q?=5BJobs=5D_Postdoctoral_scholars?= =?windows-1252?q?hip_in_Geometric_Deep_Learning_/_Scientific_ML=2C_Ume=E5?= =?windows-1252?q?_University_=97_deadline_31_May_2026?= In-Reply-To: References: Message-ID: Dear colleagues, Ume? University?s Department of Mathematics and Mathematical Statistics invites applications for a two-year postdoctoral scholarship in geometric deep learning within the project ?Geometry-Aware Autoencoders for Reliable Anomaly Detection.? The project develops geometry-aware autoencoder methods for anomaly detection, using neural ODEs on stratified spaces and flow-based models that incorporate geometric and topological constraints. The application domain includes simulated data from real particle detectors, for example the LHC. The project sits at the intersection of mathematics, physics, computer science, geometric deep learning, and scientific machine learning. Suitable backgrounds include mathematics, physics, computer science, scientific machine learning, differential geometry, differential equations, geometric deep learning, or machine learning for particle physics. Good programming skills and documented experience implementing machine learning models and methods are required. Location: Ume? University, Sweden Start: 1 September 2026 or by agreement Duration: 2 years, full time Stipend: 750,000 SEK over two years, tax-free Deadline: 31 May 2026 Contact: Associate Professor Fredrik Ohlsson, fredrik.ohlsson at umu.se Application and full details: https://www.umu.se/en/work-with-us/postdoctoral-scholarships/postdoctoral-scholarship-2-years-within-geometric-deep-learning_935515/ Ume? University welcomes applicants with different backgrounds and experiences and especially encourages female applicants. Best regards, Per ?hag Ume? University From caspar.schwiedrzik at googlemail.com Wed May 20 01:53:10 2026 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Wed, 20 May 2026 07:53:10 +0200 Subject: Connectionists: Postdoc (m/f/x) in computational modeling of high-dimensional visual category learning Message-ID: We are looking for an outstanding postdoc with expertise in computational cognitive neuroscience and/or deep learning to join our team to the neural basis of mental flexibility. The project is funded by an ERC Consolidator Grant ((Acronym DimLearn; ?Flexible Dimensionality of Representational Spaces in Category Learning?) and investigates neural mechanisms of high-dimensional visual category learning, utilizing computational approaches as well as neuroimaging and neurophysiology in humans and macaque monkeys, respectively. The postdoc?s project will focus on developing deep learning ?digital twin? models based on neural and/or behavioral data to investigate flexible multi-task learning. The lab seeks to understand the cortical basis and computational principles of perception and experience-dependent plasticity in the brain. To this end, we use a multimodal approach including fMRI-guided electrophysiological recordings in rodents and non-human primates, and fMRI and iEEG in humans. See https://doi.org/10.1016/j.cub.2023.01.011, https://doi.org/10.64898/2025.11.30.691163, and https://doi.org/10.1038/s41467-024-51543-y, and https://doi.org/10.64898/2025.12.17.694881 for examples of our work. The postdoc will play a key role in our research efforts in this area. The lab is located at Ruhr-University Bochum (https://www.rub.de) and the German Primate Center (http://www.dpz.eu). At both locations, the lab is embedded into interdisciplinary research centers with international faculty and students pursuing cutting-edge research in cognitive and computational neuroscience. The employee will have access to dedicated computing infrastructure, including high performance computing clusters. The project will be conducted in close collaboration with the labs of Fabian Sinz (https://sinzlab.org), Alexander Gail (https://www.dpz.eu/sensomotorik), and Igor Kagan (http://igorkagan.org). The main site for this part of the project will be Bochum. Several relevant datasets already exist and will be available for analysis. Ruhr-University Bochum provides a vibrant and stimulating neuroscience community with a strong community in computational as well as experimental neurosciences. Through THINK ? Center for Theoretical and Integrative Neuroscience and Cognitive Science (THINK) at Ruhr University Bochum (https://www.ruhr-uni-bochum.de/think/index.html.en), the postdoc will have access to dedicated computing infrastructure, including high-performance computing clusters, as well as to a state-of-the-art imaging center providing facilities for 3T MRI, EEG, virtual reality, and behavioral experimentation. Please find the official job ad and further information here: https://jobs.ruhr-uni-bochum.de/jobposting/e4f03b0fec916bdfa406ab0242a18b4c10a86c250 From piratepeel at gmail.com Wed May 20 03:57:26 2026 From: piratepeel at gmail.com (Leto Peel) Date: Wed, 20 May 2026 09:57:26 +0200 Subject: Connectionists: =?utf-8?q?Summer_School_on_Network_Science_=7C_Ut?= =?utf-8?q?recht_=7C_July_13=E2=80=9317=2C_2026?= Message-ID: Dear all, I'd like to draw your attention to the Utrecht Summer School on Network Science, taking place July 13?17, 2026. Many social and economic phenomena are shaped not only by individual attributes, but by relationships: who is connected to whom, who is excluded, which groups cluster together, and how ideas, behaviours, resources, risks, or inequalities spread through a system. From friendship networks and online communities to migration, political polarisation, financial transactions, ownership structures, supply chains, and systemic risk ? some of the most important patterns only become visible when we study relations. Over the course of one week, participants will learn how to: - Analyse social, economic, and financial systems through their connections - Identify central actors, hidden communities, brokers, and structural inequalities - Study how information, influence, behaviour, innovation, contagion, or financial risk spread - Explore networks in transaction data, firm networks, markets, supply chains, and financial systems - Apply machine learning techniques to network data - Work hands-on with real data in Python and R Participants are encouraged to bring their own data and research questions, and will leave with tools they can put to use immediately in their own work. Registration and full details are available at: https://utrechtsummerschool.nl/courses/data-science/data-science-network-science Please feel free to share this with anyone who might be interested. Best regards, Leto Peel Assistant Professor, Data Analytics and Digitalisation Maastricht University School of Business and Economics -------------- next part -------------- An HTML attachment was scrubbed... URL: From lisa.grunau at rub.de Wed May 20 06:34:37 2026 From: lisa.grunau at rub.de (Lisa G) Date: Wed, 20 May 2026 12:34:37 +0200 Subject: Connectionists: Postdoc position in computational NS - Ruhr University Bochum, Germany Message-ID: *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 01.11.2026, 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/b81cacbb31ca4a82e41631d1529f1ba6889ff4e10?ref=homepage To apply please submit an application via our online portal https://jobs.ruhr-uni-bochum.de/en/jobposting/b81cacbb31ca4a82e41631d1529f1ba6889ff4e10/apply?ref=homepage?Upload your letter of motivation, CV, transcripts and research statement. *Application deadline:*?22.06.2026 Please feel free to get in touch with me if you have any questions. -- Lisa Grunau Teamassistenz Fakult?t f?r Informatik Institut f?r Neuroinformatik Ruhr-Universit?t Bochum Postanschrift: Universit?tsstra?e 150 44801 Bochum, Germany Phone: +49 234-32-18137 Email:lisa.grunau at rub.de Office: NB 3/74 Website:https://www.ini.rub.de/research/groups/computational_neuroscience -------------- next part -------------- An HTML attachment was scrubbed... URL: From frank.loebe at informatik.uni-leipzig.de Wed May 20 06:13:11 2026 From: frank.loebe at informatik.uni-leipzig.de (Frank Loebe) Date: Wed, 20 May 2026 12:13:11 +0200 Subject: Connectionists: [Early bird ends in < 26h] ScaDS.AI School on Neuro+Symbolic AI - June 22-26, 2026 in Leipzig, Germany - 4th Call for Participation Message-ID: <8a4822df-152e-4468-a4d4-869c36691a5b@informatik.uni-leipzig.de> ----------------------------------------------------------------------- Currently noteworthy: - Early bird rates end today, on May 20 (AoE) [*] - Registering secures the rate, in case of bank transfer allowing for payment within a week - Overall registration remains open until June 14 (AoE) - Day tickets are available, each of which includes the social dinner on Day 2, Tuesday, June 23 More info & updates: https://scads.ai/summer-school-2026/ [*] https://www.timeanddate.com/worldclock/fixedtime.html?iso=20260521T1159 ----------------------------------------------------------------------- The Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig cordially invites you to its 12th International Summer School on AI and Big Data. This year's theme is 'Neuro+Symbolic AI', focusing on an emerging paradigm that combines the strengths of neural learning and symbolic reasoning, augmented with foundations in each of these. June 22-26, 2026 | Leipzig, Germany (Radisson Blu Hotel, Augustusplatz) (in person only, no online participation) Website: https://scads.ai/summer-school-2026/ Early registration is extended until Wednesday, May 20; overall it is open until June 14 (AoE): https://pretix.eu/infai/SummerSchool2026/ == Invited Target Audience == - Students: PhD and Master's (+ open to Bachelor's) - Academics: PostDocs and researchers - Non-Academics: Practitioners from business, industry and society == What to Expect? == The summer school features a rich program of short courses taught by leading experts, complemented by hands-on tutorials, interactive formats, and invited talks that provide a comprehensive overview of recent advances and key achievements in Neuro-Symbolic AI. A poster session and social program elements will allow for networking among the participants as well as for exploring the lively city of Leipzig. https://scads.ai/summer-school-2026/scientific-program/ https://scads.ai/summer-school-2026/social-program/ == Speakers == - Vaishak Belle (University of Edinburgh) - Vincent Derkinderen (KU Leuven) - Michael F?rber (TU Dresden) - Robert Haase (Leipzig University) - Pascal Hitzler (Kansas State University) - Yujia Hu (TU Dresden) - Filip Ilievski (VU Amsterdam) - Moa Johansson (Chalmers University Gothenburg) - Lalith Manjunath (TU Dresden) - Giuseppe Marra (KU Leuven) - Alessandra Mileo (Dublin City University) - Ostap Okhrin (TU Dresden) - Simon Razniewski (TU Dresden) - Tobias Schreieder (TU Dresden) - Daria Stepanova (Bosch Center for Artificial Intelligence) - Marco Valentino (University of Sheffield) == Venue == Radisson Blu Hotel Leipzig, Augustusplatz 5-6, 04109 Leipzig, Germany Hotel website: https://radissonblu-leipzig.de/en/ Accommodation options: https://scads.ai/summer-school-2026/local-information/ == Fees and Registration == Registration system: https://pretix.eu/infai/SummerSchool2026/ Registration is mandatory to attend the school. It *includes* access to the sessions, lunch, coffee breaks, social dinner and some other social items. It *does not cover* accommodation, breakfast, dinner (except for Tuesday) nor any transportation. Full Week Tickets: | Early | Late - ScaDS.AI Member | 490 ? | 600 ? - Student | 510 ? | 620 ? - Academic | 640 ? | 750 ? - Non-Academic | 800 ? | 910 ? Day Tickets: | 225 ? | 225 ? Early registration until Wednesday, May 20 (AoE) (4.5 weeks before) Late registration until Sunday, June 14 (AoE) (1 week before) == Organization == - Scientific Organizers: Filippo De Bortoli, Parvaneh Joharinad, Frank Loebe, Paramita Mirza, Iryna Okhrin - Local Organizers: Lucy Sonnet, Nicole Spie? - Steering Committee: Jens Meiler, Wolfgang Nagel, Gerik Scheuermann == Contact == Please write to Lucy Sonnet, Leipzig University, via scads.ai.school at uni-leipzig.de Best regards, Frank Loebe on behalf of the Organizers -- Frank Loebe, Coordinator, ScaDS.AI Graduate School, Leipzig University Phone: +49 341 97 39350 Email: frank.loebe at informatik.uni-leipzig.de From javier.baladron at usach.cl Wed May 20 08:20:45 2026 From: javier.baladron at usach.cl (Javier Baladron) Date: Wed, 20 May 2026 08:20:45 -0400 Subject: Connectionists: Open Faculty Position - Department of Computer Engineering, Universidad de Santiago de Chile Message-ID: Dear colleagues, The Department of Computer Engineering at the Universidad de Santiago de Chile invites applications for an open faculty position. We seek candidates who meet the following requirements: - Undergraduate degree in Computer Engineering, Computer Science, or related fields. - Ph.D. in Informatics, Computer Science, Cybersecurity, Artificial Intelligence, or related areas. - Teaching experience in the relevant area of specialization. - Record of scientific publications indexed in WoS and Scopus, consistent with the candidate?s academic trajectory. - Participation in research projects. - For applicants whose native language is not Spanish, ability to teach in Spanish within the first year of employment. Priority will be given to candidates conducting research in Cybersecurity or Artificial Intelligence. Preferably, candidates should also demonstrate: - Active national and international scientific collaboration networks. - Experience supervising undergraduate and graduate theses. - Proficiency in English. In the event of equal merit between candidates, preference will be given to female applicants. Questions and informal applications may be sent directly to me at javier.baladron at usach.cl We would appreciate it if you could share this call with potentially interested candidates and relevant academic networks. Best regards, Javier Baladr?n Department of Computer Engineering Universidad de Santiago de Chile -------------- next part -------------- An HTML attachment was scrubbed... URL: From spp2205 at ds.mpg.de Wed May 20 09:00:53 2026 From: spp2205 at ds.mpg.de (MPSF, SPP2205) Date: Wed, 20 May 2026 13:00:53 +0000 Subject: Connectionists: =?cp1250?q?Call_for_participation_=26_posters_-_w?= =?cp1250?q?orkshop_=93Cortex_Structure_and_Function_in_Monkey=2C_Mouse_an?= =?cp1250?q?d_Man=94_=28Sep_21-24=2C_2026=29?= In-Reply-To: References: Message-ID: Dear all, hereby, we would like to draw your attention to the upcoming workshop ?Cortex Structure and Function in Monkey, Mouse and Man?. This workshop aims to bring together researchers from the fields of systems neuroscience, comparative transcriptomics, connectomics, and primate palaeobiology in one place to foster mutual awareness and interdisciplinary discussions as well as identify yet unknown principles in the development, organization and function of the primate brain from computational and experimental points of view. ? when: Sep 21-24, 2026 ? where: Hanse Wissenschaftskolleg (HWK) Delmenhorst, Germany ? pre-registration by May 31, 2026 via https://www.uni-bremen.de/hwk-workshop-2026 workshop outline: Evolution in mammal brains has formed basic building blocks that might superficially look similar, but are organized in different structures and are obviously specialized for distinct computations. Accumulating evidence indicates that, while rodents are close evolutionary relatives to our own primate lineage, fundamental changes on all levels of brain organization occurred at the primate-rodent-split. In addition, subsequent primate evolution appears to be marked by apparently qualitative grade shifts. Recent progress across distinct disciplines provides a springboard to take a fresh perspective on what makes primate brains special. This workshop aims to enhance this comparative cognition perspective by contributions on avians and machines, which, despite having very different ?brain? structures, perform functions that are surprisingly similar to those of mammals. Confirmed speakers: Tatjana Engel,?Katja Nowick, Marieke Sch?lvinck,?Matthias Kaschube, Henner Koch, Ken Miller, Huib Mansfelder, Wiktor M?ynarski, Fabian Sinz, Andreas Neef, Dan Eric Nilsson, Madineh Sedigh-Sarvestani, Ziad Hafed, Fred Wolf, Daniel Huber, Alessandro Treves, David Dahmen, Neda Shahidi, Jonas Rose, Andreas Kreiter and Udo Ernst. For further information and pre-registration visit https://www.uni-bremen.de/hwk-workshop-2026. The workshop is co-funded by the Priority Program SPP 2205 https://www.uni-goettingen.de/de/618311.html and NeuroNex Working Memory https://www.nxwm.io/. We are very much looking forward to meeting you in September! Best regards (on behalf of the organizers), Britta **************** Dr. Britta Korkowsky Coordinator Goettingen Campus Institute for Dynamics of Biological Networks (CIDBN) Bernstein Center for Computational Neuroscience Graduate Program in Theoretical and Computational Neuroscience SPP 2205 Evolutionary Optimization of Neuronal Processing University of Goettingen Heinrich-D?ker-Weg 12 37073 G?ttingen Tel.: +49-551-39-26675 From emergingtechnetwork.publicity at gmail.com Wed May 20 20:13:43 2026 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Thu, 21 May 2026 03:13:43 +0300 Subject: Connectionists: ICCNS 2026 CFP: The IEEE co-sponsored 4th International Conference on Intelligent Computing, Communication, Networking and Services, 22-25 Sept. 2026 | Bucharest, Romania. Message-ID: [Apologies if you got multiple copies of this invitation] The 4th International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2026) https://iccns-conference.org/2026/ 22-25 Sept. 2026 | Bucharest, Romania. Hybrid Event and Technically Co-Sponsored by IEEE Romania Section *ICCNS 2026 CFP:* With the advancements in wireless communication systems like Fifth Generation (5G), beyond 5G (B5G) and the Sixth Generation (6G), new and unprecedented services will be available for users with nearly unlimited capacity. These services will be the core driver of the future digital transformation of our cities and communities. This will be accompanied by a ubiquitous deployment of the Internet of Things (IoT) infrastructure and supported by computing capacity that will be available at the edge of the network and at the cloud. The computing infrastructure will be handling the processing of the data generated by the users and services. Such a complex and diverse system will require efficient and sustainable applications running on the computing\Networking infrastructure and also smart control and automation systems to integrate and manage its different components. Artificial Intelligence (AI) and its applications will play a significant role in the design, deployment, automation and management of the future services. This will include the applications that will be running on the edge and the cloud servers, the networking applications to handle the flow of data between the users and the computing system and the intelligent automation and management software operating on the system. The International Conference on Intelligent Computing, Networking and Services is aiming to provide an opportunity to present the state of the art research in the intersections of Computing, Networking and Services that is supported by Artificial Intelligence. Researchers from both the industry and academia are encouraged to submit their original research contributions in all major areas, which include, but not limited to the following tracks: - Track 1: Artificial Intelligence Fundamentals - Track 2: Intelligent Internet of Things and Cyber-Physical Systems - Track 3: Edge Intelligence and Federated Learning - Track 4: Intelligent Networking in Beyond 5G (B5G) and 6G Wireless Communication - Track 5: Intelligent Big Data Management and Processing - Track 6: Intelligent Security and Privacy - Track 7: Blockchain Research & Applications for Intelligent Networks and Services - *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICCNS Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be up to 6 pages. *Important Dates:* - Paper submission deadline: June 15, 2026 - Notification of acceptance: July 15, 2026 - Camera-ready Submission: August 5, 2026 *Contact:* Please send any inquiry on ICCNS to: info at iccns-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From sarathcse2008 at gmail.com Wed May 20 21:45:35 2026 From: sarathcse2008 at gmail.com (Sarath Chandar) Date: Wed, 20 May 2026 21:45:35 -0400 Subject: Connectionists: CoLLAs Early-Career Spotlight Program - Deadline June 01 Message-ID: Dear All, Drawing inspiration from AAAI?s young faculty highlights, CoLLAs ( https://lifelong-ml.cc/) has successfully introduced ?early-career research highlights? in its previous edition and is happy to bring them back this year. These will give early-stage scholars a chance to showcase their pursued research perspective and respective broad contributions relevant to the CoLLAs community. The program celebrates a range of contributions ? from theoretical insights to empirical experiments ? that collectively define each researcher?s unique agenda to date. Researchers will be given the opportunity to present an invited 30-minute spotlight talk in person and will be featured in a short blog post, emphasizing their evolving research trajectory that marks the beginning of a promising career. *Applications must be submitted before June 01, 2026. For more details about the call for early-career spotlights, please refer to the conference website here: https://lifelong-ml.cc/Conferences/2026/call_for_early_career_spotlight * Regards, CoLLAs 2026 Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernstein.conference at fz-juelich.de Thu May 21 03:38:03 2026 From: bernstein.conference at fz-juelich.de (Bernstein Conference) Date: Thu, 21 May 2026 09:38:03 +0200 Subject: Connectionists: Bernstein Conference 2026: Registration now Open & Deadline for Contributed Talks coming up Message-ID: +++ Registration for the Bernstein Conference 2026 in Frankfurt am Main is now open. We are also pleased to announce that the Satellite Workshop Program has been finalized and is now available online. In addition, this is a reminder that there is only one week left to submit abstracts for Contributed Talks. The submission deadline is May 27, 2026 at 15:00 CEST. +++ ____ *Bernstein Conference * Each year, the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss the latest scientific findings. The *Satellite Workshop program* has now been finalized, and all details are available on our website. www.bernstein-conference.de* * ____ * IMPORTANT DATES* Bernstein Conference: *September 28 ? October 1, 2026 * Deadlines: *Contributed Talk* abstract submission: *May 27, 2026 at 15:00 CEST* *Poster Session* abstract submission: *July 1, 2026 at 15:00 CEST Travel Grant *application: *July 1, 2026 at 17:00 CEST * Notification of acceptance: *July 2026 * ___ *REGISTRATION * Registration for the Bernstein Conference is now open. Register until July 22, 2026, and profit from reduced conference fees. All information: https://bernstein-network.de/bernstein-conference/registration/* * ____ *ABSTRACTS * We invite the computational neuroscience community to submit their abstracts. Submissions may be considered for either Contributed Talks or Poster Sessions. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ ____ *TRAVEL GRANTS* To support the participation of early-career researchers at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 ?. Further information can be found here: https://bernstein-network.de/bernstein-conference/early-career-scientists/travel-grants/ ____ *INVITED SPEAKERS* Roshan Cools (Donders Institute for Brain, Cognition and Behaviour, The Netherlands) Benjamin Grewe (Institute of Neuroinformatics of the ETH and UZH, Switzerland) Andreas Herz (LMU Munich, Germany) Ewelina Knapska (Nencki Institute of Experimental Biology, Poland) John Krakauer (Champalimaud Foundation, Portugal) Jeehyun Kwag (Seoul National University, Korea) Anna Levina (University of T?bingen, Germany) Richard Naud (University of Ottawa, Canada) Bence ?lveczky (Harvard University, USA) Sandro Romani (Janelia Research Campus, USA) ____ ** *CONFERENCE COMMITTEE* Stefan Rotter (Conference Chair) Matthias Kaschube (Conference Host) Tim Vogels (Program Chair) Panayiota Poirazi (Program Vice Chair) Katharina Wilmes (Workshop Chair) Juan ?lvaro Gallego (Workshop Vice Chair) & Nicolas Brunel, Alex Cayco-Gajic, Monika Jadi, Jennifer Li, Wiktor M?ynarski, Richard Naud, Joseph Raimondo, Tatyana Sharpee, Taro Toyoizumi, Eleni Vassilaki ____ For any further questions, please contact: bernstein.conference at fz-juelich.de -------------- next part -------------- An HTML attachment was scrubbed... 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Name: smime.p7s Type: application/pkcs7-signature Size: 4162 bytes Desc: Kryptografische S/MIME-Signatur URL: From lilia-del-carmen.MENA-GOMEZ at univ-amu.fr Thu May 21 06:28:30 2026 From: lilia-del-carmen.MENA-GOMEZ at univ-amu.fr (MENA GOMEZ Lilia del carmen) Date: Thu, 21 May 2026 10:28:30 +0000 Subject: Connectionists: =?windows-1252?q?Final_Reminder=3A_ILCB_Summer_Sc?= =?windows-1252?q?hool_2026_=96_Apply_by_This_Friday=2C_May_22!?= In-Reply-To: <3d2e40df135a498191df8a5d99a3b93d@univ-amu.fr> References: <77ff351a93fd40dbb2cc54d952ab9be0@univ-amu.fr>, <1e9f35b0e68340e7a37770ea9d134e20@univ-amu.fr>, <13002367717f4ba8a6a772e89e652098@univ-amu.fr>, <5ad262c9c79b410da7fd3f28add0cd1f@univ-amu.fr>, <58e32145fd014a8f84d5dae917e69893@univ-amu.fr>, <3d2e40df135a498191df8a5d99a3b93d@univ-amu.fr> Message-ID: <57b2eacee59d484c8cb6f24732491deb@univ-amu.fr> Dear all, This is your final reminder to apply for the 9th ILCB Summer School 2026! The application deadline is this Friday, May 22?just 24 hours away. Join us in Aix-en-Provence (August 24?28, 2026) for a week of interdisciplinary learning, hands-on training, and networking at the intersection of language, brain, and cognitive science. We?re thrilled to highlight several courses that may be of special interest to your work: * Associative Memory and Priming in Neural Networks * Language, Brain and Artificial Neural Networks * Deep Learning for a Theory of Language Development Key Details: * Deadline: May 22, 2026 (anywhere on Earth!) * Venue: Le Cube, Aix-Marseille Universit? * Fee: ?350 (travel and accommodation not included) * Program & Application: https://www.ilcb.fr/2026-9/ * Direct Application Link: https://columbo.univ-amu.fr/index.php/667994?lang=en Don?t miss this opportunity! We look forward to welcoming you to Aix-en-Provence! Best regards, Lilia MENA Project Manager Institute of language, communication & the brain (ILCB) [https://sesame.univ-amu.fr/Logos/logo_amu_new.png] Campus Aix-en-Provence, B?timent B-Bureau 101, 5 Avenue Pasteur, 13100 Aix-en-Provence C lilia-del-carmen.MENA-GOMEZ at univ-amu.fr W www.ilcb.fr Remote work every Monday + 1 floating day. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OutlookEmoji-httpssesame.univ-amu.frLogoslogo_amu_new.png40461535-95be-448e-ad96-e96d67c9ac51.png Type: image/png Size: 8070 bytes Desc: OutlookEmoji-https://sesame.univ-amu.fr/Logos/logo_amu_new.png40461535-95be-448e-ad96-e96d67c9ac51.png URL: From cgf at isep.ipp.pt Thu May 21 16:18:40 2026 From: cgf at isep.ipp.pt (Carlos) Date: Thu, 21 May 2026 21:18:40 +0100 Subject: Connectionists: CFP: SoGood 2026 - ECML-PKDD Workshop on Data Science for Social Good Message-ID: <15610997-e60e-4a38-832a-c4353da0e79b@isep.ipp.pt> ================= Call for Papers SoGood 2026 ? 11th Workshop on Data Science for Social Good Affiliated with ECML-PKDD 2026, September 7-11, 2026, Naples, Italy, https://ecmlpkdd.org/2026/ Workshop site: https://sites.google.com/view/sogood-2026/ ================= The possibilities of Data Science for contributing to the social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as "Social networks", "Predictive models", or the catch-all term "Applications"). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of the social impact of the application. This workshop aims to attract papers presenting applications of Data Science for Social Good (which may or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes: - Government transparency and IT against corruption - Public safety and disaster relief - Access to food, water, sanitation and utilities - Efficiency and sustainability - Climate change - Data journalism - Social and personal development - Economic growth and improved infrastructure - Transportation - Energy - Smart city services - Education - Social services, unemployment and homeless - Healthcare and well-being - Support for people living with disabilities - Responsible consumption and production - Gender equality, discrimination against minorities - Ethical issues, fairness, and accountability - Trustability and interpretability - Topics aligned with the UN development goals We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organizations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects that may not be strictly "non-profit" but have Social Good as their main focus. ================= Important Dates: There will be an award for the best paper. - Submission deadline: June 5, 2026 - Acceptance notification: July 3, 2026 - Camera-ready deadline: July, 10, 2026 - Workshop: September 7, 2026 All Deadlines are Anytime on Earth (AoE) at 23:59. ================= Paper submission: Authors should submit a PDF version in Springer LNCS style using Microsoft CMT ECMLPKDD Workshops 2026 The maximum length of papers is 16 pages, consistent with the ECML PKDD conference submissions. ================= Paper publication: Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops. Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From yawu at fiu.edu Thu May 21 18:11:31 2026 From: yawu at fiu.edu (Yanzhao Wu) Date: Thu, 21 May 2026 22:11:31 +0000 Subject: Connectionists: [CFP] IEEE CogMI 2026, San Jose, CA, USA (Nov. 4-6) - Submission Due June 1 and August 15, 2026 In-Reply-To: References: Message-ID: The 8th IEEE International Conference on Cognitive Machine Intelligence (IEEE CogMI 2026) November 4 - 6, 2026, San Jose, CA, USA Cognitive machine intelligence (CogMI) takes up one of the central questions in modern AI research: what does it mean for an artificial system to perceive, reason, remember, decide, and communicate, and what can the cognitive, neural, and behavioral sciences tell us about how to build, study, and deploy such systems well? As AI becomes infrastructure for scientific discovery, healthcare, and the coordination of complex social and economic systems, the answers to these open questions have practical consequences. Making progress on them calls for work that is both technically rigorous and interdisciplinary. The goal of the IEEE Conference on Cognitive Machine Intelligence (IEEE CogMI) is to create a forum for research that places cognition at the center of how we build, study, and deploy AI and machine learning. We welcome contributions that draw on theories of human cognition to inform the design of AI, that analyze cognitive-like phenomena in artificial systems, and that build AI capable of richer cognitive behavior. The conference is deliberately interdisciplinary, bringing together researchers and practitioners from computer science and engineering, psychology and neuroscience, the social and behavioral sciences, philosophy, and ethics, legal studies, and public policy. We are especially interested in work that treats AI as a partner to human judgment rather than a substitute for it, and that examines the conditions under which human?machine collaboration produces reliable and accountable systems. Website: https://cogmi.ieee-cs.org/2026/ Important Dates Time Zone: Anywhere on Earth Round 1 Submission Dates: Submission Deadline: June 1, 2026 Notification of Acceptance Date: July 25, 2026 Camera Ready Due: August 15, 2026 Round 2 Submission Dates: Submission Deadline: August 15, 2026 Notification of Acceptance Date: September 20, 2026 Camera Ready Due: September 30, 2026 List of Topics Topics of interest include, but are not limited to: * Cognitive Foundations and Architectures * Cognitive architectures, computational models of mind, and dual-process (System 1/System 2) theories in AI, including agent architectures, models of executive function, adaptive behavior, bounded rationality, and developmental learning trajectories * Neuroscience-inspired AI (NeuroAI) and neuromorphic computing, including brain-inspired architectures, biologically plausible learning rules, neural coding principles, spiking neural networks, predictive coding, and free-energy frameworks * Memory, attention, and information processing in artificial systems, including memory-augmented networks, episodic replay, models of forgetting and consolidation, selective attention, cognitive load, information bottlenecks, chunking, and content-addressable memory * Reasoning and Knowledge * Commonsense, causal, and abstract reasoning, including analogical and relational reasoning, compositional generalization, spatial and temporal reasoning, counterfactual thinking, and reasoning under uncertainty and incomplete information * Neuro-symbolic AI and hybrid architectures, including integrating neural learning with symbolic knowledge representation, differentiable logic programming, neural theorem proving, and bridging perception, language, and formal reasoning * Knowledge representation, ontology, and conceptual structure, including concept formation and categorization, belief revision, epistemic reasoning, knowledge graphs, commonsense knowledge bases, and schema-based understanding of events * Probabilistic and Bayesian models of cognition, including probabilistic computing, Bayesian learning, rational analysis, reasoning under uncertainty, and probabilistic programming as cognitive modeling frameworks * Language, Communication, and Meaning * Large language and vision-language models as cognitive and linguistic objects of study, including what LLMs and VLLMs reveal and fail to reveal about human cognition, language, vision, and meaning; multimodal cognition and visual-linguistic binding; scaling laws and intelligence; in-context learning as cognitive flexibility; chain-of-thought as verbal reasoning * Natural language processing, generation, and speech through a cognitive lens, including computational psycholinguistics, models of language acquisition, semantic grounding and compositionality, pragmatics, discourse, text analytics, and speech recognition/generation * Dialogue systems, virtual agents, chatbots, and conversational AI, including communication and common ground theory, cooperative dialogue, audience design, perspective-taking, and interactive storytelling * Perception, Embodiment, and Action * Perception, grounding, and embodied cognition, including multimodal integration, language grounding to vision and robotics, affordance learning, intuitive physics, object permanence, active perception, and simulation-based understanding * Computer vision and image processing as cognitive perception, including visual reasoning, scene understanding, visual question answering, saliency, gaze modeling, and cognitive models of visual search and recognition * Cognitive robotics, autonomous systems, and human-robot interaction, including sensorimotor learning, cognitive motor planning, spatial navigation, embodied interaction, situated cognition in physical agents, and collaborative robot behavior * Learning and Adaptation * Machine learning, neural networks, and deep learning as models of cognition, including few-shot and meta-learning as rapid generalization, curriculum and continual learning, transfer and domain adaptation, inductive biases as cognitive constraints, and self-supervised learning as perceptual development * Reinforcement learning, planning, and goal-directed behavior, including model-based vs. model-free learning, hierarchical goal decomposition, world models, imagination and look-ahead, curiosity-driven exploration, and test-time adaptive reasoning * Learning with relational and graph-structured data, including graph neural networks for relational and structural cognition, knowledge organization, relational reasoning, and learning over interconnected conceptual structures * Social Cognition and Behavior * Theory of mind, social reasoning, and multi-agent cognition, including modeling beliefs, desires, and intentions of others; joint attention; cooperation and coordination; cultural transmission; negotiation; mechanism design; and algorithmic game theory * Social computing, computational social science, and social psychology of AI, including modeling collective behavior and social dynamics, group decision-making, social norms, social influence, opinion formation, and AI-mediated social interaction * Affective computing, emotion, and behavioral science, including emotion recognition and modeling, sentiment analysis, empathy in AI, behavioral models of decision-making, heuristics and biases, and the cognitive-behavioral foundations of human-AI systems * Creativity and Imagination * Computational creativity, imagination, and generative cognition, including AI for art, music, design, and scientific ideation; divergent thinking; conceptual blending; generative models as accounts of imagination; evaluating novelty and meaning; and ethical issues of creative AI (authorship, appropriation) * Human-AI Interaction and Trust * Human-AI collaboration and mixed-initiative systems, including augmented cognition, human-in-the-loop learning, cognitive aspects of shared decision-making, adaptive interfaces, designing for appropriate mental models of AI, and cognitive workload in human-AI teams * Trust, reliance, and mental models of intelligent machines, including cognitive foundations of trust calibration, over-reliance and under-reliance, transparency as a trust mechanism, and building/maintaining trust in AI across contexts * Explainability, Safety, and Alignment * Explainability, interpretability, and transparency, including cognitive models of explanation, XAI methods (feature attribution, concept-based, natural language), probing neural representations, attention visualization, argumentative explanations, and human evaluation of explanations * AI safety, value alignment, and responsible AI, including bias, fairness, and equity through cognitive and social science lenses; reward modeling and preference specification; adversarial robustness; moral reasoning; accountability; and the cognitive science of AI risk perception * Privacy, security, and adversarial machine learning, including privacy-preserving AI, adversarial resilience as cognitive reliability, deceptive alignment, and the societal-cognitive impacts of surveillance and data practices * Evaluation, Philosophy, and Societal Impact * Cognitive benchmarking and psychometric evaluation of AI, including testing AI on human cognitive tasks, comparing human and machine reasoning/perception/language, behavioral experiments with AI, compositionality and systematicity metrics, and evaluation methodology for cognitive AI * Consciousness, metacognition, and self-awareness in AI, including introspection, confidence calibration, self-monitoring and self-correction, computational theories of consciousness, self-models, and philosophical questions about machine understanding * Philosophy of AI, ethics, and the nature of intelligence, including the grounding problem, narrow vs. general intelligence, moral status of cognitive AI, governance and regulation, and the distinction between understanding and pattern matching * Societal and cognitive impacts of AI, including effects on human attention, memory, skill, and autonomy; AI in education, health, science, business, and public welfare; cognitive ergonomics of AI-generated content; and responsible deployment across application domains * Cross-Cutting and Emerging * Emerging frontiers in cognitive AI, including agentic AI and autonomous tool use, foundation models as cognitive models, retrieval-augmented cognition, multi-agent cognitive ecosystems, AI for scientific discovery, developmental AI, world models as internal simulators, synthetic data as cognitive rehearsal, and AI-assisted cognitive science Submission Guidelines * Research Track Paper Submission: We invite original research papers that have not been previously published and are not currently under review for publication elsewhere. Papers submitted to Research track should be up to 10 pages, anonymously in the standard two column IEEE proceedings format, excluding the bibliography, well-marked appendices, and supplementary material. which can be found at IEEE Manuscript Templates for Conference Proceedings. Authors should not change the font or the margins of the IEEE format. Papers should avoid revealing authors? identity in the text. When referring to their previous work, authors are required to cite their papers in the third person, without identifying themselves. The papers should be submitted at the research track of the conference in EasyChair. * Vision Track Paper Submission (By Invitation Only): We invite original research vision papers that have not been previously published and are not currently under review for publication elsewhere. Vision contributions should focus on blue-sky ideas and research vision in the area that at least one of the lead senior authors are known for. Vision paper can be as short as 2 pages but should be no longer than 10 pages in the standard two column IEEE proceedings format, which can be found at IEEE Manuscript Templates for Conference Proceedings. The papers should be submitted at the vision track of the conference in EasyChair. * Industry/Government Paper Submission: We invite original industry papers that have not been previously published and are not currently under review for publication elsewhere. At least one co-author must be affiliated with industry or Government organizations, such as labs in DoE, DoD, NIH, NSA Labs. Papers submitted to Regular or Industry/Gov track should be no longer than 10 pages in the standard two column IEEE proceedings format, IEEE Manuscript Templates for Conference Proceedings. The papers should be submitted at the industry/gov track of the conference in EasyChair. Workshops Proposals Proposals for half-day or full day workshops that focus on IEEE CogMI 2026 related themes are solicited. Workshop proposals should be at most 6 pages, including a biographical sketch of each instructor, and submitted to EasyChair. Panels Proposals Proposals for panel discussions that focus on future visions relevant to Cognitive Machine Intelligence are preferred. Potential panel organizers should submit a panel proposal of at most five pages, including biographical sketches of the proposed panelists to the Panel Chairs. Tutorials Proposals Proposals for full and half-day tutorials are solicited. Tutorials are intended to enhance the technical program, and as such, they should be relevant to the conference-related themes. Potential tutorial presenters should submit a tutorial proposal of at most three pages, including a description of the potential audience and background knowledge expected from the audience, if any; tutorial description; biographical sketch(s) of presenter(s). Review Policy IEEE Policy and professional ethics require that referees treat the contents of papers under review as privileged information not to be disclosed to others before publication. It is expected that no one with access to a paper under review will make any inappropriate use of the special knowledge, which that access provides. Contents of abstracts submitted to conference program committees should be regarded as privileged as well, and handled in the same manner. The Conference Publications Chair shall ensure that referees adhere to this practice. Organizers of IEEE conferences are expected to provide an appropriate forum for the oral presentation and discussion of all accepted papers. An author, in offering a paper for presentation at an IEEE conference, or accepting an invitation to present a paper, is expected to be present at the meeting to deliver the paper. In the event that circumstances unknown at the time of submission of a paper preclude its presentation by an author, the program chair should be informed on time, and appropriate substitute arrangements should be made. In some cases it may help reduce no-shows for the Conference to require advance registration together with the submission of the final manuscript. Awards IEEE CogMI will feature a Best Paper award and a Best Student Paper award (to be selected by the program committee/best paper award team). A paper is eligible for the Best Student Paper award if the first author is a full-time student at the time of submission. A partial travel grant or cash award may be offered to the winner student depending on fund availability. Program Co-Chairs Jerry Jialie Shen, University of London, UK Amarda Shehu, George Mason University, USA Reza Zafarani, Syracuse University, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From vittorio.cuculo at unimore.it Fri May 22 06:04:08 2026 From: vittorio.cuculo at unimore.it (Vittorio Cuculo) Date: Fri, 22 May 2026 12:04:08 +0200 Subject: Connectionists: [CFP] ECCV2026 - Human-inspired Computer Vision workshop (HCV 2026) Message-ID: <565e920e-b73a-4430-95d1-9880d8e7f747@unimore.it> ** *Apologies for multiple posting* * Please distribute among interested colleagues **************************************************************** Call for Papers 3rd Workshop on Human-inspired Computer Vision 8th or 9th September 2026 ECCV 2026, Malm?, Swedenhttps://sites.google.com/view/hcvworkshop202 6 **************************************************************** AIMS AND SCOPE The primary goal of the Human-Inspired Computer Vision (HCV) workshop is to bridge the gap between machine perception and biological systems by integrating findings from neuroscience, psychology, and cognitive science. Although modern computer vision achieves impressive results in many tasks, it still lacks the robustness and contextual flexibility inherent to human vision, and the relationship between artificial and human vision remains unclear. Investigating such a relationship is timely and important for two reasons: Improving machine vision: Insights from psychology, cognitive science, and neuroscience can inform current research towards developing computer vision models that operate in a human-like fashion. This cross-disciplinary approach can help us systematically identify and tackle the performance and generalization gaps between humans and machines in key research areas. Understanding and enhancing human vision: Modeling biological vision is a hot topic in computational cognitive neuroscience. By developing interpretable computer vision models, we create powerful tools to explain neuroscientific and behavioral observations and to enhance human vision and cognition, e.g. in the presence of sensory or neurodevelopmental disorders. TOPICS We encourage the submission of research outcomes at the intersection of computer vision with neuroscience and cognitive science, as well as new dataset benchmarks related to the topics listed below. Computational Vision * Biomimetic vision systems * Building on visual representations (e.g., internal motivation, intention, and curiosity) * Cortical networks of visual recognition * Neuronal dynamics and image processing * Probabilistic inference and Bayesian priors in visual perception * Computational models of visual attention and applications * Automated image aesthetics * Multi-modal sensory fusion and modulation for vision * Visual motion processing and human tracking behavior Biological Vision * Bioinspired vision sensing * Retinal processing: from biology to models and applications Cognitive Aspects * Adaptive systems * Cognitive architectures * Memory modulation in vision * Understanding and modeling vision in a social context * Planning and motor control for vision KEYNOTE SPEAKERS * TBA IMPORTANT DATES Regular PaperSubmission (Archival Track): June 26th, 2026(23:59 AoE) Extended AbstractSubmission (Non-Archival Track): August 14th, 2026 SUBMISSION GUIDELINES The workshop includes an archival trackand a non-archival track.Accepted papers of both tracks will be presented during the workshop. Papers must be prepared according to the ECCV 2026 template and submitted as PDF documents, following ECCV Submission Policies. At the time of submission, authors must indicate to which track the paper is submitted. Only papers accepted to the archival track will be published in the ECCV workshop proceedings. ORGANIZING COMMITTEE * Lucia Schiatti (University of Genoa - Italian Institute of Technology, Italy) * Mengmi Zhang (Nanyang Technological University, Singapore) * Yen-Ling Kuo (University of Virginia, USA) * Vittorio Cuculo (University of Modena and Reggio Emilia, Italy) * Andrei Barbu (Amazon, USA) For more details, please visit https://sites.google.com/view/hcvworkshop2026 * -- Vittorio Cuculo Assistant Professor AImageLab | University of Modena and Reggio Emilia Dept. of Engineering "Enzo Ferrari" via Vivarelli 10, Modena, 41125, Italy Room MO27-02-029 | Phone +390592056289 https://www.vcuculo.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From augenstein at di.ku.dk Fri May 22 06:08:38 2026 From: augenstein at di.ku.dk (Isabelle Augenstein) Date: Fri, 22 May 2026 10:08:38 +0000 Subject: Connectionists: [2nd call] PhD and postdoc positions on XAI at University of Copenhagen, start in Autumn 2026 Message-ID: <70C9B661-32DC-49C3-85BA-55740F9FB09D@ku.dk> Would you like to join our lab as a PhD student or postdoc in autumn 2026? We have openings on a new project titled ?A Mechanistic Framework for Mitigating the Susceptibility of LLMs to Learning False Information? funded by the Independent Research Foundation Denmark, led by Isabelle Augenstein and Pepa Atanasova. The project goal?s will be to develop a novel theoretical frameworks for LLM security, new mechanistic interpretability methods, and new evaluation protocols, developed through research at the intersection of Natural Language Processing, LLM Security, and Explainable AI. In addition to the PIs, the postdoc and PhD student, the project also offers the opportunity to apply as an academic collaborator with NVIDIA as part of an existing relationship. Read more about reasons to join CopeNLU here. PhD position The PhD position is fully funded for three years and open to candidates with a Master?s degree or equivalent in Computer Science or a related field. The PhD student?s research is expected to focus on researching mechanistic interpretability methods to curb the effects of false information attacks on LLMs at different stages of the model lifecycle. The ideal candidate would thus have an educational background, prior research or work experience in ML or NLP. The PhD student will be supervised by Isabelle Augenstein and co-supervised by Pepa Atanasova, and also collaborate with the larger project team. Read more about the position and apply here by 31 May 2026 to be considered. The start date is September 2026 or as soon as possible thereafter. Postdoc position The postdoc position is also offered for three years and open to candidates with a PhD degree in Computer Science or another relevant field. The postdoc?s duties will be to characterise the spectrum of false information used by LLMs at different stages of their life cycle, in order to develop mitigation methods and prevent false information attacks on LLMs. The ideal candidate would thus have an educational background, prior research or work experience on Natural Language Processing, LLM Security, and/or Explainable AI. The postdoc will work with Isabelle Augenstein and Pepa Atanasova, and also collaborate with the larger project team. Read more about the position and apply here by 31 May 2026 to be considered. The start date is September 2026 or as soon as possible thereafter. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Deputy Head of Department for Research Department of Computer Science University of Copenhagen ?stervold Observatory ?ster Voldgade 3 1350 Copenhagen augenstein at di.ku.dk http://isabelleaugenstein.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat May 23 08:58:18 2026 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 23 May 2026 14:58:18 +0200 (CEST) Subject: Connectionists: DeepLearn 2026: early registration June 19 Message-ID: <154186180.1362.1779541098911@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: June 19, 2026 ****************************************************** SCOPE: DeepLearn 2026 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Lule?, Bournemouth, Bari, and Porto. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedicine and healthcare, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, business and finance, biotechnology, physics and astrophysics, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, earth and sustainability, mathematical proofs, etc. etc. The field is also raising a number of relevant questions about efficiency and robustness of the algorithms, explainability, transparency, interpretability, risks and safety, as well as important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed and main challenges identified through 15 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: 2 or 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), Convergence Theory: How Fast Do Discrete Diffusion Models Generate? Le Song (Mohamed bin Zayed University of Artificial Intelligence), Towards AI-Driven Digital Organism: A System of Multiscale Foundation Models for Biology PROFESSORS AND COURSES: Nitesh Chawla (University of Notre Dame), [intermediate] Synthetic Data Generation and Learning from Imbalanced Data: From SMOTE to LLMs Jianfei Chen (Tsinghua University), [intermediate] Efficient Large Model Training and Inference 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 Applications in Machine Learning and Foundation Models 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: Integrated Multimodal Sensing, Controlled Inference, and Spatio-Temporal Attention Yan Liu (University of Southern California), [intermediate] Time Series Foundation Models: From Forecasting to Reasoning Zhijin Qin (Tsinghua University), [intermediate/advanced] Token-Based Semantic Communications Aarti Singh (Carnegie Mellon University), [intermediate] Human Centered AI: Challenges and Opportunities Suvrit Sra (Technical University of Munich), [introductory/intermediate] Introduction to the Theory of Learning with Transformers Ivor Tsang (A*STAR Centre for Frontier AI Research), [introductory/intermediate] Trustworthy Agentic Artificial Intelligence Tong Zhang (University of Illinois Urbana-Champaign), [introductory/intermediate] Reinforcement Learning for Large Language Models 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) Florian Nowicki (Orl?ans, social networks) 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 are available 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 HJACOBS at mgh.harvard.edu Fri May 22 15:02:31 2026 From: HJACOBS at mgh.harvard.edu (Jacobs, Heidi I.,PHD) Date: Fri, 22 May 2026 19:02:31 +0000 Subject: Connectionists: =?utf-8?q?Postdoc_position=3A_the_noradrenergic_s?= =?utf-8?q?ystem_in_Alzheimer=E2=80=99s_disease_using_cognitive_computatio?= =?utf-8?q?nal_modeling_and_multimodal_neuroimaging?= Message-ID: <15ECC243-D0C0-4A7A-A571-0BEEE040D2B8@mgh.harvard.edu> Postdoctoral fellow position: Understanding how the noradrenergic system contributes to Alzheimer?s disease using cognitive computational modeling and multimodal neuroimaging at Massachusetts General Hospital The Athinoula A. Martinos Center for Biomedical Imaging, located within the Department of Radiology at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) in Boston, Massachusetts, has an opening for a highly qualified postdoctoral individual to work with Dr. Heidi Jacobs. The Jacobs lab is focused on improving the early detection and early treatment of Alzheimer?s disease. The lab focuses on the neuromodulatory subcortical nuclei, in particular the locus coeruleus, using a variety of approaches, including 3T MRI, 7T MRI, PET imaging, pupil measurements, physiological recordings, blood-based markers, cognitive assessments and perturbational approaches, such as pharmacological manipulations and non-invasive vagus nerve stimulation. We are seeking a postdoctoral fellow with a background in cognitive computational, and/or biophysical modeling, including frameworks such as predictive coding and reinforcement learning, to investigate the neural mechanisms underlying how the noradrenergic locus coeruleus system contributes to tau progression and cognitive decline. Although these approaches have a strong tradition in psychiatry, they are increasingly recognized as promising tools for understanding Alzheimer's disease: the noradrenergic system has been computationally linked to the regulation of belief updating and exploration/exploitation balance, and given that the noradrenergic locus coeruleus is one of the first systems to undergo neurodegenerative and functional changes in Alzheimer's disease, these frameworks offer a principled and largely untapped lens through which we can study cognitive decline and disease progression. The Jacobs Lab is actively expanding in this direction and is looking for candidates who are eager to bring this expertise, help shape this line of work, and forge collaborations that bridge the computational and clinical neuroscience communities. This position is particularly suited to candidates with demonstrated experience linking such models to in vivo human neuroimaging and who are excited by the opportunity to apply these methods in a neurodegenerative disease context. The project will involve integrating multimodal imaging (e.g., sMRI, fMRI, (f)MRS, PET) with pupillometry and advanced modeling approaches, including dynamic causal modeling (DCM) and reinforcement learning, in observational and pharmacological manipulation studies. In parallel, the lab develops approaches to characterize heterogeneity and temporal trajectories of disease progression using large-scale, well-characterized longitudinal datasets. The lab also evaluates specific monoaminergic PET tracers to characterize age- and Alzheimer's disease-related molecular changes in the noradrenergic and serotonergic systems. The successful candidate will have the opportunity to contribute to these ongoing projects depending on expertise and interests. The Jacobs Lab consists of a multidisciplinary team of two instructors, three postdocs, two PhD students, two clinical research coordinators, and one project manager. The work in this project will be performed at the Athinoula A. Martinos Center for Biomedical Imaging, Charlestown Navy Yard. The candidate will be part of ongoing collaborations and work in a stimulating and inspiring environment. Our research group values open communication, motivation, optimism, mutual respect, teamwork, and innovative thinking. Dr. Jacobs is highly committed to individualized mentoring to help trainees achieve the most out of their postdoctoral candidature and to move forward in their career. At a minimum, the training environment will include professional development, one-on-one meetings, group lab meetings, frequent seminars and journal clubs, opportunities to present their work at national and international scientific conferences (i.e. Human Amyloid Imaging, Alzheimer?s Association International Conference), collaborations with partners within and outside MGH, and manuscript preparation for publication in high-impact journals. Dr. Jacobs has a strong funding record and will strongly encourage and provide mentorship in grant applications. Her trainees have a strong publication record, obtained competitive awards/grants, and many have secured faculty or senior positions. Requirements: Candidates should hold a Ph.D. in Cognitive Neuroscience, Computational Modeling, Bio/medical Physics, Biomedical Engineering, Neuroimaging, or related disciplines. A strong publication record, including at least three first-author peer-reviewed publications with demonstrated research experience in neuroimaging combined with computational modeling is required. Essential qualifications include: strong expertise in fMRI analyses and other neuroimaging methods (e.g. MRS, PET), advanced programming skills (e.g., Python, MATLAB), experience with computational modeling (e.g. cognitive computational modeling), a solid background in signal processing. Candidates must be able or willing to learn to relate neuroimaging findings within a pathobiological framework for neurodegenerative diseases. The candidate should be highly motivated, a strong communicator (verbally and in scientific writing), have an internal drive to learn independently, and be comfortable working as part of a larger collaborative team. A real necessity is a passion for science and a positive attitude. Experience in Alzheimer?s disease/aging/memory-related research would be beneficial. Start date is negotiable. Apply: The successful candidate will have joint appointments at MGH and HMS. If interested, please send your CV, letter describing interests, background, major achievements, skills, goals and contact information for three professional references. Please send application materials to Dr. Heidi Jacobs, Associate Professor of Radiology, at hjacobs at mgh.harvard.edu (www.heidijacobs.org) ___________________________________________ Heidi Jacobs, PhD Associate Professor of Radiology Massachusetts General Hospital | Harvard Medical School Department of Radiology Athinoula A. Martinos Center for Biomedical Imaging 149 13th Street Charlestown, MA 02129 hjacobs at mgh.harvard.edu www.heidijacobs.org Learn about what we do and why: https://shorturl.at/fEFa8 [A blue and black logo Description automatically generated] [signature_3581815700] Social media: Linkedin: https://www.linkedin.com/in/heidijacobs/ Bluesky: https://bsky.app/profile/heidijacobslab.bsky.social [Please note: I might send an email out of office hours, at weekends or during holidays. This suits me ? but doesn?t mean I expect you to do the same] The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at https://www.massgeneralbrigham.org/complianceline . Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 4204 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 92208 bytes Desc: image002.png URL: From lrubchin at iu.edu Fri May 22 12:08:39 2026 From: lrubchin at iu.edu (Rubchinsky, Leonid L) Date: Fri, 22 May 2026 16:08:39 +0000 Subject: Connectionists: Late-breaking poster abstract submission for the 35th Annual Computational Neuroscience Meeting CNS*2026 In-Reply-To: References: Message-ID: Dear Colleagues, We are inviting abstracts for the late-breaking poster-only presentations at the 35th Annual Computational Neuroscience Meeting CNS*2026, Halifax, Canada, July 11-15, 2026. The deadline to submit a late-breaking poster abstracts is June 4. Note that one of the authors must register as a sponsoring author for the main meeting before abstract submission. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2026-registration Abstract submission: https://www.cnsorg.org/cns-2026-abstract-submission CNS*2026 information: https://www.cnsorg.org/cns-2026 With kind regards, Leonid Rubchinsky OCNS Vice President, on behalf of the OCNS Board of Directors *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin at iu.edu https://lrubchin.pages.iu.edu *********************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From stm at socio.org.uk Mon May 25 00:38:20 2026 From: stm at socio.org.uk (STMet) Date: Mon, 25 May 2026 04:38:20 +0000 (UTC) Subject: Connectionists: Real-Time Intelligent Systems 2026 Message-ID: <211652009530979328.0.v2@titan.email> An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Sun May 24 10:25:53 2026 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Sun, 24 May 2026 17:25:53 +0300 Subject: Connectionists: FLLM2026 (Co-Sponsored by IEEE): The 4th International Conference on Foundation and Large Language Models, 17 - 20 November 2026 | Barcelona, Spain Message-ID: [Apologies if you got multiple copies of this invitation] The 4th International Conference on Foundation and Large Language Models (FLLM 2026) https://fllm-conference.org/2026/index.php 17 - 20 November 2026 | Barcelona, Spain Hybrid Conference and Technically Co-Sponsored by IEEE Spain Section *FLLM 2026 CFP:* With the emergence of foundation models (FMs) and Large Language Models (LLMs) that are trained on large amounts of data at scale and adaptable to a wide range of downstream applications, Artificial intelligence is experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new applications ranging from computer vision to protein sequence study and from speech recognition to coding. Earlier models had a reputation of starting from scratch with each new challenge. The capacity to experiment with, examine, and comprehend the capabilities and potentials of next-generation FMs is critical to undertaking this research and guiding its path. Nevertheless, these models are currently inaccessible as the resources required to train these models are highly concentrated in industry, and even the assets (data, code) required to replicate their training are frequently not released due to their demand in the real-time industry. At the moment, mostly large tech companies such as OpenAI, Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite the expected widely publicized use of FMs and LLMS, we still lack a comprehensive knowledge of how they operate, why they underperform, and what they are even capable of because of their emerging global qualities. To deal with these problems, we believe that much critical research on FMs and LLMS would necessitate extensive multidisciplinary collaboration, given their essentially social and technical structure. The International Conference on Foundation and Large Language Models (FLLM) addresses the architectures, applications, challenges, approaches, and future directions. We invite the submission of original papers on all topics with special interest in but not limited to: - *Architectures and Systems* - Transformers and Attention - Bidirectional Encoding - Autoregressive Models - Massive GPU Systems - Prompt Engineering - Multimodal LLMs - Fine-tuning - *Challenges* - Hallucination - Cost of Creation and Training - Energy and Sustainability Issues - Integration - Safety and Trustworthiness - Interpretability - Fairness - Social Impact - * Future Directions* - Generative AI - Explainability and EXplainable AI - Retrieval Augmented Generation (RAG) - Federated Learning for FLLM - Large Language Models Fine-Tuning on Graphs - Data Augmentation - * Natural Language Processing Applications* - Generation - Summarization - Rewrite - Search - Question Answering - Language Comprehension and Complex Reasoning - Clustering and Classification - * Applications* - Natural Language Processing - Communication Systems - Security and Privacy - Image Processing and Computer Vision - Life Sciences - Financial Systems *Call for Special Tracks Papers:* - *Short papers:* (4-6 pages). - *Poster papers:* (1-2 Pages) - *Position Paper:* (2-4 pages) - *PhD Symposium:* (Up to 6 Pages) - *Demos :* (Up to 2 Pages) - *Systemization of Knowledge (SoK) or Focused Surveys:* (10-15 pages) *Journal Special Issue:* Selected high quality papers will be invited for special issue submission at the *Information Processing & Management (impact factor : 6.9)* https://www.sciencedirect.com/journal/information-processing-and-management *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 6 pages (including all figures, tables and references). Extra pages (up to 4 pages) can be purchased for a fee. Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Authors of accepted papers are expected to present their work at the conference. *Important Dates:* - *Paper submission deadline: July 21, 2026* - Notification of acceptance: October 1 , 2026 - Camera-ready Submission: October 15, 2026 *Contact:* Please send any inquiry on FLLM to: info at fllm-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Sun May 24 10:54:29 2026 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Sun, 24 May 2026 17:54:29 +0300 Subject: Connectionists: DTISO CFP: The IEEE co-sponsored International Conference on Digital Transformation and Intelligent SOciety, 17 - 20 November 2026 | Barcelona, Spain Message-ID: [Apologies if you got multiple copies of this invitation] The International Conference on Digital Transformation and Intelligent SOciety (DTISO 2026) https://dtis-conference.org/2026/ 17 - 20 November 2026 | Barcelona, Spain Hybrid Event and Technically Co-Sponsored by IEEE Spain Section *DTISO 2026 CFP:* Digital transformation and intelligent society refer to the profound integration of advanced digital technologies?such as artificial intelligence, big data analytics, cloud computing, and the Internet of Things into every aspect of modern life. This transformation is reshaping how individuals communicate, how organizations operate, and how governments deliver services. By leveraging data-driven insights and intelligent systems, digital transformation enhances efficiency, enables automation, and supports more informed and timely decision-making across sectors including healthcare, education, industry, and public administration. An intelligent society builds upon these capabilities to create interconnected, adaptive, and human-centered environments where technology is used not only to optimize processes but also to improve quality of life, promote inclusivity, and support sustainable development. As digital ecosystems continue to evolve, the synergy between technological innovation and societal needs becomes essential in addressing global challenges and driving long-term economic and social progress. The International Conference on Digital Transformation and Intelligent Society (DTISO) invites researchers, practitioners, and industry experts to submit their original and high-quality contributions addressing the challenges and opportunities of digital transformation in shaping an intelligent society. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to: *?** Digital Transformation Foundations * - Digital Transformation innovation and strategy - Smart cities and smart environments - Industry 4.0 and 5.0 - Digital governance and e-government - Digital economy and business transformation *?** Artificial Intelligence for Digital Society * - Generative AI and Large Language Models - Intelligent Automation and Robotics - Natural Language Processing and Conversational Systems - Computer Vision and Multimedia Intelligence - Predictive Analytics and Intelligent Forecasting - Multi-Agent and Autonomous Systems - Recommender Systems and Personalization - Knowledge Graphs and Semantic Technologies - AI-Driven Decision Support Systems *?** Digital Infrastructure and Emerging Technologies * - Cloud Computing and Digital Platforms - Edge Computing and Intelligent Infrastructure - Internet of Things (IoT) and Connected Systems - 5G/6G and Future Communication Systems - Blockchain and Decentralized Applications - Quantum Computing and Future Digital Technologies - Digital Twin Technologies - Cybersecurity and Digital Trust - Privacy, Ethics, and Responsible AI *?** Smart Society and Human-Centered Systems * - Intelligent Society and Smart Living Technologies - Smart Cities and Urban Intelligence - E-Government and Digital Public Services - Smart Education and E-Learning Technologies - Intelligent Healthcare and Digital Health Systems - Social Computing and Digital Communities - Human-Centered AI and Intelligent Interaction - Digital Inclusion and Accessibility - Ethical and Societal Impact of Emerging Technologies - Digital Media, Misinformation, and Content Intelligence *?** Industry, Economy, and Sustainable Transformation* - Digital Transformation Strategies and Frameworks - Digital Economy and Smart Business Models - Industry 4.0 and Smart Manufacturing - FinTech and Intelligent Financial Systems - Smart Agriculture and Precision Farming - Intelligent Transportation and Mobility Systems - Sustainable Digital Transformation - Smart Energy and Green Technologies - AI Governance and Regulatory Technologies *?** Data Science and Intelligent Information Systems* - Big Data Analytics for Smart Society - Intelligent Information Retrieval and Search Systems - Data-Driven Smart Applications - Advanced Data Processing and Analytics - Real-Time Monitoring and Intelligent Systems - Context-Aware and Adaptive Systems - Data Privacy and Secure Information Systems - Intelligent Decision Analytics - Semantic and Cognitive Computing Systems *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the DTISO Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. *Important Dates:* - Paper Submission: *July 21, 2026* - Notification to Authors: October 5, 2026 - Camera Ready Submission: October 20, 2026 *Contact:* Please send any inquiry on DTISO to : info at dtis-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From asim.bhatti at deakin.edu.au Sun May 24 20:20:23 2026 From: asim.bhatti at deakin.edu.au (Asim Bhatti) Date: Mon, 25 May 2026 00:20:23 +0000 Subject: Connectionists: ICONIP 2026 - Call for Papers - Deadline extended to 31 May 2026 In-Reply-To: References: Message-ID: Dear Colleagues, Apologies for duplicate email. We are pleased to invite you to submit your latest research to the 33rd International Conference on Neural Information Processing (ICONIP 2026), to be held 23?27 November 2026 at the Melbourne Convention and Exhibition Centre, Melbourne, Australia. ICONIP is the flagship annual conference of the Asia Pacific Neural Network Society (APNNS) and has a more than 30?year tradition of bringing together leading researchers and practitioners in neural information processing, artificial intelligence, machine learning, and computational neuroscience. [iconip2026.org] Important Date * Paper submission deadline: 31 May 2026 Submission Portal * Call for Papers - ICONIP2026 Topics of Interest ICONIP 2026 welcomes original, high?quality research papers across theory, algorithms, models, methodologies, applications, and emerging frontiers, including (but not limited to): * Theory & Algorithms: machine learning, neural networks, optimisation, causality, explainable and responsible AI, time?series analysis, privacy and security for AI * Cognitive & Computational Neuroscience: neural data analysis, brain?machine interfaces, reasoning and consciousness, computational psychiatry, social cognition * Human?Centred Computing: bioinformatics, healthcare, human activity recognition, HCI, neuromorphic hardware, recommender systems * Applications & Frontiers: computer vision, natural language processing, robotics and control, big data analytics, information retrieval, multimedia systems (Full scope available at: https://iconip2026.org/call-for-papers) ? Publications All accepted papers will be published in Springer?s Lecture Notes in Computer Science (LNCS) and Communications in Computer and Information Science (CCIS) series, following a single?blind peer?review process. Why ICONIP 2026? * A premier international forum for neural information processing and AI research * Strong interdisciplinary participation from academia and industry * A unique opportunity to engage with the Asia?Pacific and global AI community * Hosted in Melbourne, a world?class city renowned for research, innovation, and culture We would greatly appreciate it if you could circulate this call within your networks and encourage colleagues and students to submit their work. For full details on submissions, tracks, special sessions, workshops, and tutorials, please visit: https://www.iconip2026.org We look forward to welcoming you to Melbourne for ICONIP 2026. Kind Regards ICONIP 2026 organising committee Asim Bhatti Professor | General Chair ICONIP2026 | Program Lead ACM CRC Deakin Institute for Intelligent Systems [cid:image001.png at 01DCEC30.18146F50] [cid:image002.jpg at 01DCEC30.18146F50] Deakin University 221 Burwood Hwy, Burwood VIC 3125 T 03 5227 2548 E asim.bhatti at deakin.edu.au W https://experts.deakin.edu.au/150-asim-bhatti W www.deakin.edu.au Deakin University CRICOS Provider Code 00113B Important Notice: The contents of this email are intended solely for the named addressee and are confidential; any unauthorised use, reproduction or storage of the contents is expressly prohibited. If you have received this email in error, please delete it and any attachments immediately and advise the sender by return email or telephone. Deakin University does not warrant that this email and any attachments are error or virus free. -------------- next part -------------- An HTML attachment was scrubbed... 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Name: image002.jpg Type: image/jpeg Size: 88339 bytes Desc: image002.jpg URL: From dhansel0 at gmail.com Sun May 24 12:52:54 2026 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 24 May 2026 23:52:54 +0700 Subject: Connectionists: World wide VVTNS series (6th season): Equilibrium Geometry and Chaotic Dynamics in Large Recurrent Neural Networks | Giancarlo La Camera, Stonybrook University| Wednesday, May 27, 2026, at 11:00 am ET 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 Giancarlo La Camera Stonybrook University on the topic of Equilibrium Geometry and Chaotic Dynamics in Large Recurrent Neural Networks The lecture will be held on Zoom on May 27, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Large recurrent networks are important models in several fields, including neuroscience, machine learning, physics, and applied mathematics. Yet their dynamics are difficult to study directly, because high-dimensional nonlinear systems can exhibit rich behavior that is hard to summarize in terms of individual trajectories. In this talk, I will discuss an approach that seeks to understand such dynamics through the structure of the network?s equilibria. I will focus on a random balanced network of threshold-linear units that undergoes a transition from a single stable equilibrium to extensive chaos as the disorder strength crosses a critical value. Using a combination of Kac?Rice theory, replica calculations, numerical root-finding, and dynamical mean-field theory, we show that the chaotic regime contains an exponentially large number of equilibria. These equilibria are all saddles, but with only a fractionally small number of unstable directions. Surprisingly, despite the completely random connectivity, the equilibria are not scattered randomly through phase space. Instead, they are strongly correlated and confined to a comparatively small region. The chaotic attractor lies within this same region, suggesting a direct geometric link between the organization of unstable equilibria and the collective structure of the dynamics. This picture helps explain why networks with extensive chaos can nevertheless display dynamics dominated by a relatively small number of collective modes. More broadly, the results suggest that the geometry of equilibria provides a useful complementary perspective to dynamical mean-field theory for understanding high-dimensional neural dynamics. *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 taro.toyoizumi at riken.jp Mon May 25 03:02:26 2026 From: taro.toyoizumi at riken.jp (Taro Toyoizumi) Date: Mon, 25 May 2026 07:02:26 +0000 Subject: Connectionists: Neural Networks : Volume 200 In-Reply-To: <0100019e5dd585aa-b152bf41-48cf-49d7-acb8-20eb5723e6e3-000000@email.amazonses.com> References: <0100019e5dd585aa-b152bf41-48cf-49d7-acb8-20eb5723e6e3-000000@email.amazonses.com> Message-ID: [wordmark] New Issue: Neural Networks New issue available on ScienceDirect [Cover Image Neural Networks] Neural Networks Volume 200, August 2026 Editorial Board Article Number 109120 Neural Networks Letters ________________________________ DADiffNet: Delay-aware diffusion networks with adaptive subgraphs for large scale traffic forecasting Article Number 108756 Yujie Fan, Jing Chen, Wenqiang Xu, Weimin Peng A novel stock investment strategy based on distributed k-WTA dynamic neural network Article Number 108866 Xinwei Cao, Yiguo Yang, Shuai Li, Vasilios N. Katsikis Reviews ________________________________ A survey of recent advances in adversarial attack and defense on vision-language models Article Number 108764 Md Iqbal Hossain, Neeresh Kumar Perla, Afia Sajeeda, Siyu Xia, Ming Shao Kolmogorov-Arnold networks for data-driven, physics-informed, and deep-operator learning: a review, synthesis, and new analysis Article Number 108791 Salah A. Faroughi, Farinaz Mostajeran, Amin Hamed Mashhadzadeh, Shirko Faroughi Physics-informed neural networks for constitutive modeling and multiphysics coupling in viscoelastic materials: Applications to asphalt pavement mechanics Article Number 108803 Xue Luo, Jiale Huang, Li?an Shen, Hang Wang, Ziqiang Shi Deep learning algorithms for license plate recognition: A review Article Number 108842 Laixiang Xu, Zihan Shang, Xiangjun Chen, Tiwei Zeng, Wenhao Dai, Junmin Zhao Spiking neural networks for video analysis: An in-depth review of models and architectures Article Number 108844 S.K. Sudha, S. Aji Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608026003060-ga1.jpg] An approximation theory perspective on machine learning Article Number 108841 Hrushikesh N. Mhaskar, Efstratios Tsoukanis, Ameya D. Jagtap Cognitive Science ________________________________ SGAFuse: Semantic-guided adaptive fusion for RGB-thermal images via dynamic gating Article Number 108779 Chao Yang, Deshui Miao, Chao Tian, Guoqing Zhu, Zhenyu He DisNet : Learning interpretable depression representations in speech Article Number 108820 Wenju Yang, Peng Cao, Yang Wang, Jie Yang, Fei Wang Neuroscience ________________________________ Minimizing command timing variability is a key factor in skilled actions Article Number 108759 Atsushi Takagi, Sho Ito, Hiroaki Gomi Multimodal graph fusion-based GCN for Alzheimer?s disease diagnosis using fMRI and T1-weighted MRI Article Number 108748 Guowei Wang, Tongtong Li, Qi Sun, Hong Peng, Taowen Ren, Yu Fu, Zhijun Yao, Bin Hu Structure from rank: Rank-order coding as a bridge from sequence to structure Article Number 108828 Xiaodan Chen, Alexandre Pitti, Mathias Quoy, Nancy F. Chen Memristor-based neural network for dual-channel and temporal order memory with application in fault detection Article Number 108837 Junwei Sun, Yujie Wu, Linhao Zhao, Yanfeng Wang, Zicheng Wang An efficient brain-heart coupling learning system for emotion recognition Article Number 108856 Dongrui Gao, Liu Deng, Zongyao Peng, Qinghua Wang, Haokai Zhang, Shihong Liu, Dingming Wu, Pengrui Li Handling distribution shifts on dynamic graphs via causal invariance principles Article Number 108854 Chao Li, Yafei Zhang, Runshuo Liu, Qianyu Song, Zhongying Zhao, Qingtian Zeng Learning Systems ________________________________ Improving anomaly detection with foundation-model synthesis and wavelet-domain attention Article Number 108859 Wensheng Wu, Zheming Lu, Ziqian Lu, Zewei He, Xuecheng Sun, Zhao Wang, Jungong Han, Yunlong Yu Mitigating OOD overoptimism via in-sample value function in offline reinforcement learning Article Number 108763 Wenhui Liu, Kangyang Luo, Zhijian Wu, Shanfeng Hao, Dingjiang Huang Inferring gene regulatory networks via adversarially regularized directed graph autoencoder Article Number 108762 Kaifu Long, Junchang Xin, Luxuan Qu, Mingcan Wang, Jiani Li, Zhiqiong Wang GMN-Zoomer: Learning graph similarity via hierarchical parsing, pooling and matching Article Number 108778 Ke-Jia Chen, Yusheng Chen, Ziyue Wang, Linfeng Liu Continual few-shot named entity recognition against catastrophic forgetting and overfitting Article Number 108793 Yuanyuan Zhao, S.L. Zhao, Minghu Wang Locally adaptive compensation for analytic class-incremental learning Article Number 108761 Haoyuan Chen, Nuobei Shi, Ling Chen, Raymond S.T. Lee Multi-granularity preference enhancement with hierarchical feature extraction for session-based recommendations Article Number 108766 Yongjian Zhou, Wei Zhou, Luwen Huangfu, Jun Zeng, Tingyue He, Junhao Wen RAC : Few-shot fruit recognition through CLIP-based ambiguity reduction Article Number 108760 Dat Tran-Anh, Thang Vu Ba, Ngan Hoang Dao, Bao Bui Quoc, Nam Vu Hoai, Tao Ngo Quoc, Quynh Nguyen Huu A Multi-Agent Continual reinforcement learning framework with multi-Timescale replay and dynamic task classification Article Number 108752 Yang Liu, Xiang Feng, Huiqun Yu A continual learning framework with long-term and multiple short-term memory networks Article Number 108774 Shangge Liu, Lei Wang, Rui Yan, Jing Huo, Wenbin Li, Yang Gao Single-qubit graph classifier with classical feature aggregation Article Number 108775 Shaochun Li, Junzhi Cui, Jingli Ren Neural topic modeling on hyperspheres: Spherical representation learning with von Mises-Fisher mixtures Article Number 108792 Dayu Guo, Zhiwen Luo, Nizar Bouguila, Wentao Fan WEViT: weight-entangled vision transformers with class-specific attention for weakly supervised semantic segmentation Article Number 108768 Narges Saeedizadeh, Seyed Mohammad Jafar Jalali, Burhan Khan, Shady Mohamed High-order correlation and consistency-aware multi-view clustering via anchor graph learning Article Number 108795 Cheng Liang, Wenchao Zang, Daoyuan Wang, Fei Guo From sparse semantics to rich instances: Empowering label-efficient LiDAR panoptic segmentation via geometric priors Article Number 108767 Weijian Zhang, Haichuan Song, Zhizhong Zhang, Xin Tan, Lizhuang Ma, Yuan Xie C/R-PMGAN: A dual-path self-supervised and patch-masked generative adversarial network for transferable black-box attack Article Number 108709 Zihan Peng, Yang Xu, Sicong Zhang, Yuanlei Yang Freezing pre-trained parameters of encoders for denoisers: Expanding pixel involvement and filtering out high-frequency noise Article Number 108794 Jie Zhang, Junda Li, Liang Feng, Beini Zhang, Xiao Luo, Weijia Wen Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S089360802600256X-ga1.jpg] Stabilizing iterative pruning with local adjustments and global scaling learning rate Article Number 108799 Lian Duan, Jiawen Zhang, Chongxin Li, Hanzhang Wang Sensor movement drives emergent attention and scalability in active neural cellular automata Article Number 108798 Mia-Katrin Kvalsund, Kai Olav Ellefsen, Kyrre Glette, Sidney Pontes-Filho, Mikkel Elle Lepper?d Heterogeneity-aware multi-modal physiological signal fusion strategy based on combined contrastive learning for emotion recognition Article Number 108818 Yuan Tian, Jing Li, Ning Chen, Guangqiang Li, Zhangyong Xu, Hongqing Zhu, Yu Li, Zhiying Zhu EmbBERT: Attention under 2?MB memory Article Number 108800 Riccardo Bravin, Massimo Pavan, Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Manuel Roveri Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608026002625-ga1.jpg] HKAN: Hierarchical Kolmogorov-Arnold network without backpropagation Article Number 108796 Grzegorz Dudek, Tomasz Rodak Learning convex set boundaries via primal-dual neural approximation with application to reachable set computation Article Number 108810 Guopeng Chen, Lizhen Shao, Fangyuan Zhao Dual generative adversarial graph networks: Unsupervised and semi-supervised learning with spherical graph embeddings Article Number 108801 Wenchuan Zhang, Wentao Fan, Yewang Chen Bridging graph structure and knowledge-guided editing for interpretable temporal knowledge graph reasoning Article Number 108811 Shiqi Fan, Quanming Yao, Hongyi Nie, Wentao Ma, Zhen Wang, Wen Hua Projection-based tokenization with Pseudo feature learning for ovarian lesion segementation in ultrasound images Article Number 108806 Yanlin Chen, Yuhan Zhang, Ruobing Huang, Ao Chang, Jian Wang, Jianhua Zhou, Dong Ni CSM-Net: Relation embedding for few shot learning optimized by cross memory attention Article Number 108816 Wenqiang Xu, Junwen Liu, Xutao Sun, Yonggong Ren Fast agreement-driven device-calibrated local learning paradigms for spiking neural networks Article Number 108809 Saptarshi Bej, Muhammed Sahad E, Gouri Lakshmi S, Harshit Kumar, Pritam Kar, Bikas C. Das LLM-SDaT: A knowledge-informed LLM framework for syndrome differentiation in TCM Article Number 108812 Bingtao Guan, Shangde Gao, Dawei Zheng, Haoxiang Xia, Zhiyuan Wu, Jian Wu, Hongxia Xu Federated open intent classification via granular-ball knowledge representation Article Number 108817 Jie Zhang, Yanhua Li, Xiaocao Ouyang, Linbo Xiong, Xiangkun Wang, Jingkai Wang, Xin Yang, Tianrui Li MFBD : Model-free backdoor defense based on vision-language pre-trained models Article Number 108772 Rui Huang, Mengjia Hao, Hechuan Wang, Yan Xing, Yuxiang Zhang Bio-inspired small target detecting visual neural network with motion direction decoding compensation in large scene Article Number 108815 Tianshun You, Ming Liu, Liquan Dong, Peng Yang Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608026002777-ga1.jpg] Recurrent spiking neural networks with bimodal neuronal time scales for learning performance enhancement Article Number 108830 Xiang Wei, Xiaohan Zhou, Xinjun Liu, Yunliang Zang, Qiang Yu Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608026002923-ga1.jpg] SEEK: A simple defense to model hijacking attack Article Number 108833 Yi Zhong, Zhenzhu Chen, Rui Zhang, Lei Zhou, Anmin Fu Diffusion-Guided graph generation for multi-view semi-Supervised classification Article Number 108822 Yilin Wu, Weihong Lin, Hongyang Dong, Jinbo Li, Shiping Wang SCADA: Sparse cross attention for domain adaptive semantic segmentation Article Number 108826 Qizhe Fan, Xiaoqin Shen, Yuanbo Chen, Shihui Ying, Jue Jiang, Juan Wang, Shaoyi Du M-Net: Multiscale hierarchical fusion with dual natural patch attention for spatial-Temporal time series forecasting Article Number 108847 Bin Yang, Tinghuai Ma, Jialong Sun, Xuejian Huang, Yuan Tian, Li Jia, Xin Yu, Qiaoqiao Yan, Jiahao Cui A complex-valued widening spiking neural network Article Number 108834 Fang Liu, Witold Pedrycz, Qi Xu, Lijun Liu, Jialin Xu, Jie Yang, Wei Wu A user trajectory simulation framework for next POI recommendation with uncertain check-ins Article Number 108831 Chen Li, Guoyan Huang, Shanshan Feng, Zhu Sun DBML-Font :Double-branch multi-level feature fusion based on diffusion model for few-shot font generation Article Number 108825 Yueyue Fang, Haipeng Xiao, Wenyi Zhou, Lixin Guan, Mengshan Li, Fanyang Meng, Jihong Zhu Training sparse convolutional deep predictive coding networks with attention Article Number 108836 Hongming Li, Chi Ding, Jos? C Pr?ncipe Hierarchical game interaction augmenter: Enhancing multi-agent trajectory prediction in competitive and cooperative sports Article Number 108832 Shijia Wang, Bowen Zhou, Tianyi Liu, Siyuan Yang, Hamid Reza Karimi Mining user features with hyperbolic representations for diffusion prediction Article Number 108855 Pengfei Jiao, Peng Yan, Jilin Zhang, Zhidong Zhao, Fangfang Su, Wang Zhang Self-weighted low-rank representation for multivariate compositional data Article Number 108851 Zhengyan Liu, Huiwen Wang, Qing Zhao, Lihong Wang A heterogeneous encoding disentangled representation network for financial time series forecasting Article Number 108870 Wuzhida Bao, Guangyang Tian, Yuting Cao, Yin Yang, Shiping Wen DesInsert: Strategic descriptive term insertion fools text-to-image generation Article Number 108857 Fanyu Bu, Kai Ye, Jianan Ma, Tianyi Chen, Zhen Wang WLR: Well-conditioned linear reconstruction for retraining-free pruning of LLMs Article Number 108840 Siqi Li, Jingyang Xiang, Jiateng Wei, Chengrui Zhu, Jiandang Yang, Jun Chen, Jian Yang, Xiaobin Wei, Yunliang Jiang, Yong Liu A representational framework for learning and encoding structurally enriched trajectories in complex agent environments Article Number 108868 Corina C?t?r?u-Cotutiu, Esther Mondrag?n, Eduardo Alonso WARGM-PDPG: A dual-phase policy gradient graph mamba neural network for device placement algorithms Article Number 108867 Hao Shu, Wangli Hao, Meng Han, Fuzhong Li An efficient wavelet-based physics-informed neural network for multiscale problems Article Number 108860 Himanshu Pandey, Anshima Singh, Ratikanta Behera AnomalyTCN: Efficient contrastive-based time series anomaly detection with pure convolution structure Article Number 108879 Donghao Luo, Xue Wang Permutation-Invariant graph partitioning: How graph neural networks capture structural interactions? Article Number 108869 Asela Hevapathige, Qing Wang Object-guided multi-granularity unsupervised hashing for image retrieval Article Number 108846 Zifan Liu, Yuan Cao, Xue Xu, Peng Luan, Yanwei Yu Multi-scale chunked residual encoding and temporal stochastic interpolation padding in SNNs for enhanced speech classification Article Number 108873 Qi Zhang, Huamin Wang, Hangchi Shen Medium-term prediction of atmospheric PM2.5 concentration based on the VG-TCABI hybrid architecture Article Number 108881 Boqun Li, Boyu Dong, Jihan Li, Guangtao Fan, Feng Yu, Jin Zhang Mathematical and Computational Analysis ________________________________ Scalable physics-informed deep generative model for solving forward and inverse stochastic differential equations Article Number 108770 Shaoqian Zhou, Wen You, Ling Guo, Xuhui Meng Image segmentation algorithm based on the Allen-Cahn energy function Article Number 108753 Haixiao Wang, Jian Wang Predefined-time consensus control for multiagent systems with input and output quantization Article Number 108777 Junyi Shi, Huidong Cheng, Fang Wang Dual-mechanism adaptive control for finite/fixed-time synchronization of fuzzy inertial neural networks under parameter uncertainty Article Number 108802 Junshuang Zhou, Guici Chen, Song Zhu, Yin Sheng, Leimin Wang, Mouquan Shen Geometric perspectives on multi-input reservoir computing Article Number 108838 Alfio Borz? MD-LSM: an enabling tool for real-time monitoring linear separability of hidden-layer outputs of deep networks Article Number 108827 Chao Zhang, Xinyu Chen, Wensheng Li, Naizhe Wang, Xingwu Liu, Dacheng Tao Approximation rates in Besov norms and sample-complexity of Kolmogorov-Arnold networks with residual connections Article Number 108797 Anastasis Kratsios, Bum Jun Kim, Takashi Furuya Stability of stochastic impulsive coupled systems with impulse-disturbed links and Markov switching via dynamic event-triggered control Article Number 108839 Haoming Han, Shuai Zhang, Yan Liu Task-adaptive sparse graph structure learning with error-edge pruning and anti-smoothing mechanism Article Number 108864 Yuanliang Kan, Yao Hu, Li Zhang A delay-Adaptive neural network for querying TOP-k critical vertices on time-Dependent shortest paths Article Number 108807 Zhilei Xu, Wenwen Zhang, Wei Huang, Jiaqian Bi Coefficient pairing with centralized regularization for structured sparsity Article Number 108858 Siwei Xia, Yuehan Yang SSA-KD: Self-structure-aware knowledge distillation for convolutional neural networks Article Number 108804 Yiheng Lu, Zhihui Zhang, Ziyu Guan, Wei Zhao, Yaming Yang, Cai Xu, Maoguo Gong Engineering and Applications ________________________________ Advancing the forward-forward algorithm towards high-performance deep local learning Article Number 108765 Siyuan Xu, Yujie Wu, Jibin Wu, Lei Deng, Mingkun Xu, Qinghao Wen, Guoqi Li Temporal and spatial context aware voxel transformer for semantic scene completion Article Number 108754 Yiqi Wu, Changliang Li, Jiale He, Feng Cao, Cuilian Lei, Yilin Chen, Dejun Zhang Decoupling geometry and appearance in Gaussian splatting for reflective surface reconstruction: A glossy image prior-guided approach Article Number 108653 Yuwen Ge, Guoliang Wei, Junke Wu Deep reinforcement learning for carrier-based aircraft flight deck operations scheduling problem Article Number 108776 Changjiu Li, Wei Han, Haixu Li, Jie Liu, Xinwei Wang, Yong Zhang, Xichao Su Decomposition based curriculum-style self-training for source-free universal domain adaptation in computational pathology Article Number 108805 Wentao Liu, Zhiwei Ni, Xuhui Zhu, Qian Chen, Liping Ni, Pingfan Xia Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608026002674-ga1.jpg] Integrating large language models into Peer-to-Peer energy management for multi-tenant buildings: A guardrail approach to ensuring resilience Article Number 108814 Srinivasa Raghavan Vangipuram, Giridhar A V RIFoL: A robust image forgery localization network for noisy images Article Number 108813 Wuyang Shan, Xiaoyu Lu, Yan Wang, Yijie Xie, Xiaoqin Yu FreeMD: Training-free multi-domain text-to-image generation with any control Article Number 108823 Mingwen Shao, Chang Liu, Xiang Lv, Lingzhuang Meng, Yecong Wan, Zhengyi Gong Last-layer committee machines for uncertainty estimations of benthic imagery Article Number 108819 H. Martin Gillis, Isaac Xu, Benjamin Misiuk, Craig J. Brown, Thomas Trappenberg Black-box physical adversarial stripes for hiding from infrared detectors at multiple views Article Number 108821 Zhaolu Zheng, Gang Liu, Min Dang, Jinpeng Luo Few-shot video object segmentation in X-ray angiography using local matching and spatio-temporal consistency loss Article Number 108808 Lin Xi, Yingliang Ma, Xiahai Zhuang LoongTrack: Exploring long-sequence modeling for visual tracking Article Number 108824 Wenkang Zhang, Tianyang Xu, Fei Xie, Mu Nie, Wankou Yang VISTA-3D : Training-free unfolding for vision-based 3D object detection Article Number 108790 Xiaoyu Dong, Fang Xu, Ying Lyu, Rui Zhao, Yajing Zheng A bio-inspired spiking neural network with adaptive spatiotemporal filtering and depth-modulated synaptic plasticity for robust collision detection Article Number 108829 Yumeng Ren, Ye Zhao, Long Chen, Qihang Jiang, Yue Xu, Jiali Wang, Xun Huang, Ziang Wang, Hang Ran, Yumei Zhou, Shushan Qiao Shapley value optimized differentiable architecture search for lightweight neural networks in resource-constrained environments Article Number 108848 Haibing Li, Yaoliang Ye, Zongye Ding, Quanbin Lu, Wenbo Zhu, Zhongbo Zhang, Chao Dong PDCFMO: Probabilistic dense correspondence of human body via fusion meta-optimization Article Number 108835 Yifan Lu, Bailing Zhang, Haolan Zhang, Xin Yu, Chaoyi Pang, Lang Wang, Min Tang Read the full issue on ScienceDirect -------------- next part -------------- An HTML attachment was scrubbed... URL: From murphyp7 at tcd.ie Mon May 25 07:05:32 2026 From: murphyp7 at tcd.ie (Peter Murphy) Date: Mon, 25 May 2026 12:05:32 +0100 Subject: Connectionists: Fully-funded PhD position in Decision Neuroscience Message-ID: A fully-funded 4-year PhD position (?25,000 per annum stipend) is available to work in the laboratory of Assistant Professor Peter Murphy, in the Hamilton Institute and Department of Psychology at Maynooth University, Ireland. The anticipated start date is September/October 2026. The successful candidate will lead a project combining human neurophysiology with recurrent neural network modelling to investigate the neural and computational basis for making decisions abstracted from sensation and action. The project will run in collaboration with Prof. Redmond O?Connell at Trinity College Dublin and Dr. Se?n Froudist-Walsh at University of Oxford/Trinity College Dublin and the successful candidate will be embedded within this wider research team. The ideal candidate will have demonstrable interest in the cognitive neuroscience of decision-making, strong quantitative/computational skills, and experience in at least one of the following: neural network modelling, psychophysics with human participants, and EEG. More details on the project and the position can be found here: https://www.maynoothuniversity.ie/sites/default/files/assets/document/MU%20Doctoral%20Scholarship%20FSE_Hamilton%20PM.pdf. Interested candidates should submit their CV (including contact information of two referees) and a brief (max. 600 words) personal statement describing their background, research interests, and how they align with the project and the broader interests of the team. Applications should be submitted by email directly to peter.murphy at mu.ie by the *deadline of July 1st 2026*. Informal queries in advance of the deadline are welcome. -------------- next part -------------- An HTML attachment was scrubbed... URL: From li.zhaoping at tuebingen.mpg.de Mon May 25 07:38:18 2026 From: li.zhaoping at tuebingen.mpg.de (Li Zhaoping) Date: Mon, 25 May 2026 13:38:18 +0200 Subject: Connectionists: What are the functions of primary visual cortex (V1)? Message-ID: <782a1a78-6d40-45e6-8625-8a9bfe22e488@tuebingen.mpg.de> Dear colleagues, I am pleased to share Zhaoping, L. (2026) What are the functions of primary visual cortex (V1)? ?in Current Opinions of Neurobiology,? ? 98:103209 the emerging answers have additionally helped to ask "What is vision?", see Zhaoping, L. (2026) Vision as looking and seeing through a bottleneck ?in Current Opinions of Neurobiology,? 98:103211 both articles and other relevant information in this website , happy to hear your feedback, to provide more information, and to discuss. best, Li Zhaoping -- Li Zhaoping, Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Department of Sensory and Sensorimotor Systems, Max Planck Institute for Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtkostecki at gmail.com Mon May 25 08:23:08 2026 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Mon, 25 May 2026 14:23:08 +0200 Subject: Connectionists: Cambridge Open Lab Open Science in Practice Course, Aug 3-7 2026 Message-ID: Hello! Cambridge node of Open Lab project is announcing a new summer course - Open Science in Practice! The Open Science in Practice Summer School is a 5-day immersive programme held in Cambridge (UK), bringing together students and early-career researchers interested in integrating open science into their daily work. The summer school is designed for students and early-career researchers who want to explore and implement open science practices in their work. While the content is broadly applicable across disciplines, the programme is oriented towards applications in neuroscience, with hands-on workshops that will resonate especially with those working with experimental setups, behaviour tracking, and data analysis. The course is divided in two parts: *Open Science Principles* The first two days focus on the foundations of open science, including why it matters, how it shapes research culture, and how to implement open and reproducible practices, from data sharing to open access publishing *Hands-on workhops* This is an opportunity for participants to gain practical experience in important experimental skills that can be applied to your research, such as: ? Basic electronics for building or improving experimental setups (e.g., closed-loop setups systems, sensors and much more!) ? 3D design and printing using open-source software (FreeCAD) ? Open-source software for behavioural analysis (e.g. DeepLabCut). Please find more info here - https://cambridgeopenlab.org/ With best wishes, Mateusz Kostecki -------------- next part -------------- An HTML attachment was scrubbed... URL: From mohijab at hbku.edu.qa Mon May 25 08:18:44 2026 From: mohijab at hbku.edu.qa (Dr. Mohamad Hassan Hijab) Date: Mon, 25 May 2026 12:18:44 +0000 Subject: Connectionists: =?windows-1252?q?Postdoc_Opportunity_=97_A-Sense_?= =?windows-1252?q?Centre_of_Excellence=2C_HBKU=2C_Qatar_=28Computer_Vision?= =?windows-1252?q?=29?= Message-ID: Dear all, We are pleased to share an opening for a Postdoctoral Researcher at A-Sense: Autism Sensing Center of Excellence (https://www.hbku.edu.qa/en/cse/a-sense), College of Science and Engineering, Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar. We are looking for a candidate with strong expertise in Computer Vision, Deep Learning, and Machine Learning to contribute to research focused on behavioral analysis from video data related to autism assessment, classification, detection, and intervention. The position is based at HBKU, Qatar Foundation, Doha, Qatar, with an initial appointment of one year, renewable based on performance and mutual interest. Applicants should have: * A Ph.D. in Computer Science or a related field with clear application in Computer Vision * Strong experience with deep learning, machine learning, and computer vision * Proficiency in Python and frameworks such as PyTorch, TensorFlow, Keras, OpenCV, or related tools * A strong publication record and excellent English writing skills Interested candidates are invited to apply through the following application form: https://lnkd.in/dAyYsdy5 We would be grateful if you could share this opportunity with suitable candidates within your network. Best regards, Dr. Mohamad Hassan Hijab Laboratory Manager College of Science and Engineering www.hbku.edu.qa [HBKU-RGB.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: C2_signature_hbku-rgb_c9af2528-b5e0-4a71-adfe-4b9087f52795.png Type: image/png Size: 14098 bytes Desc: C2_signature_hbku-rgb_c9af2528-b5e0-4a71-adfe-4b9087f52795.png URL: From ted.carnevale at yale.edu Mon May 25 12:58:35 2026 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Mon, 25 May 2026 12:58:35 -0400 Subject: Connectionists: last call for the 2026 NEURON Summer Course Message-ID: A few seats remain open for the 2026 NEURON Summer Course, but the registration deadline is Monday, June 1 -- just one week from today -- so you should act now if you want to join us at Duke University in Durham, NC. This course will provide a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. It will start at 9 AM Wednesday, June 10, and end at 5 PM Monday, June 15, 2026. For more information and the on-line application form, see The 2026 NEURON Summer Course --Ted -------------- next part -------------- An HTML attachment was scrubbed... URL: From mlas at fi.upm.es Mon May 25 10:45:20 2026 From: mlas at fi.upm.es (mlas at fi.upm.es) Date: Mon, 25 May 2026 16:45:20 +0200 (CEST) Subject: Connectionists: XVIII Madrid UPM Machine Learning and Advanced Statistics Summer School (June 8th - June 19th, 2026) - Early registration deadline Message-ID: <824009085.0.1779720320285.JavaMail.bmihaljevic@lenovo> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Machine Learning and Advanced Statistics summer school finishes on May 31, 2026. The 2026 edition comprises 12 week-long courses (15 lecture hours each), given over two weeks. Attendees may register in each course independently, subject to timetable compatibility. KEY INFORMATION Dates: June 8-19, 2026 Venue: Boadilla del Monte, near Madrid Early registration: open until May 31, 2026 Website: https://www.dia.fi.upm.es/MLAS Discount: 25% for members of the Spanish AEPIA and SEIO societies COURSES ======= WEEK 1: June 8-12, 2026 ---------------------- 09:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: R. Course 2: Metaheuristics for Optimization (15 h) Single-solution metaheuristics. Evolutionary algorithms. Algorithms based on estimation of distributions. Other population-based algorithms. Multi-objective optimization using evolutionary algorithms. 13:45-16:45 Course 3: Supervised Classification (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Python. Course 4: Reinforcement Learning (15 h) Introduction. Dynamic programming methods. Temporal-difference learning. Policy gradient methods. Offline reinforcement learning. Practical demonstration: R. 17:00-20:00 Course 5: Deep Learning (15 h) Introduction. Learning algorithms. Learning in deep networks. Deep learning for computer vision. Deep learning for language. Practical session: Python notebooks with Google Colab, Keras, PyTorch and Hugging Face Transformers. Course 6: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and hierarchical models. Model selection. Practical demonstration: R and WinBugs. WEEK 2: June 15-19, 2026 ----------------------- 09:45-12:45 Course 7: Causality (15 h) Introduction. Causal graphs. Mediation analysis. Instrumental variables. Counterfactual fairness. Practical sessions: R. Course 8: Clustering (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advice. Practical session: R. 13:45-16:45 Course 9: Gaussian Processes, Bayesian Deep Learning and Bayesian Optimization (15 h) Introduction to Gaussian processes. Sparse Gaussian processes. Deep Gaussian processes. Bayesian deep learning. Introduction to Bayesian optimization. Practical demonstration: Python using GPyTorch, PyTorch and BoTorch. Course 10: Explainable Machine Learning (15 h) Introduction. Inherently interpretable models. Post-hoc interpretation of black box models. Basics of causal inference. Beyond tabular and i.i.d. data. Other topics. Practical demonstration: Python with Google Colab. 17:00-20:00 Course 11: Generative AI (15 h) Introduction to the course. Neural networks and deep learning. Generative AI for images. Generative AI for language. Hands-on session: PyTorch, VAEs, GANs, diffusion models, LLMs, aligning a generative LLM, using an open-source image generation model. Course 12: AI for the Health Domain (15 h) Introduction to AI in healthcare. AI to conversational agents and drug repurposing. From manifolds to foundation models. AI for real-world clinical data. Please forward this information to colleagues, students, and anyone who may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Laura Gonzalez Veiga. -- School coordinators. From Valerie.Gouet at ign.fr Tue May 26 04:36:51 2026 From: Valerie.Gouet at ign.fr (Valerie Gouet) Date: Tue, 26 May 2026 08:36:51 +0000 Subject: Connectionists: [CfP] SUMAC'26 @ACMMM'26: the 8th ACM International workshop on analySis, Understanding and proMotion of heritAge Contents Message-ID: [Apologies if you receive multiple copies of this CfP] Call for Papers SUMAC 2026 8th ACM International workshop on analySis, Understanding and proMotion of heritAge Contents Advances in machine learning, signal processing, multimodal techniques and human-machine interaction November 10, 2026 Rio de Janeiro, Brazil In conjunction with ACM Multimedia 2026 SUMAC: https://sumac-workshops.github.io/2026/ Main conference: https://2026.acmmm.org/ Aims and scope The ambition of SUMAC is to bring together researchers and practitioners from different disciplines to share ideas and methods on current trends in the analysis, understanding and promotion of heritage contents. These challenges are reflected in the corresponding sub- fields of machine learning, signal processing, multi-modal techniques, and human-machine interaction. We welcome research contributions for the following (but not limited to) topics: * Information retrieval for multimedia heritage * Automated archaeology and heritage data processing * NLP and knowledge graphs * Multi-modal deep learning, generative modeling * Time series analysis for heritage data * Heritage visualization, virtualization and narratives * Smart digitization and reconstruction of heritage data * Open heritage data and benchmarking The scope of targeted applications is extensive and includes: * Analysis, archaeometry of artifacts * Diagnosis and monitoring for restoration and preventive conservation * Geosciences / Geomatics for cultural heritage * Inclusive education * Smart and sustainable tourism * Urban planning * Digital Twins Important dates (AoE) * Paper submission: July 16, 2026 * Author acceptance notification: August 6, 2026 * Camera-Ready: August 20, 2026 * Workshop date: November 10, 2026 Keynote speakers * Alasdair Newson (associate professor at the Institut des Syst?mes Intelligents et de Robotique of Sorbonne Universit?, Paris, France). Talk on Deep generative networks for image and video editing and restoration. * Luiz Velho (senior researcher at the Institute for Pure and Applied Mathematics, head of the VISGRAF Laboratory, Rio de Janeiro, Brazil). Talk on Cultural Heritage Media Projects of the Ancient Egypt. Special Highlights Best Paper Award. Following tradition, SUMAC 2026 will also be awarding a best paper award, accompanied with a certificate and a trophy. Submission guidelines Submission format. All submissions must be original work not under review at any other workshop, conference, or journal. The workshop will accept papers describing completed work (full paper) as well as work in progress (short paper). Two submission formats are accepted: a) 4 pages plus 2-page reference (short paper); or b) 8 pages plus up to 2-page reference (full paper). They must be encoded as PDF using the ACM Article Template of the main conference ACM Multimedia 2026, see https://2026.acmmm.org/site/author-instructions.html. Peer Review and publication in ACM Digital Library. Paper submissions must conform with the ?double-blind? review policy. All papers will be peer-reviewed by experts in the field, they will receive at least two reviews. Acceptance will be based on relevance to the workshop, scientific novelty, and technical quality. Depending on the number, maturity and topics of the accepted submissions, the work will be presented via oral or poster sessions. The workshop papers will be published as Open Access articles. Organizers Valerie Gouet-Brunet (LaSTIG Lab, IGN Geodata Paris, Gustave Eiffel University, France) Edgar Roman-Rangel (ITAM, Mexico) Li Weng (Zhejiang Financial College, China) Looking forward to hearing from you at SUMAC! The workshop organizers -- Valerie Gouet-Brunet Senior researcher / DR1 Minist?re de la Transition Ecologique LASTIG Lab. / Univ. Gustave Eiffel, Geodata Paris, IGN (French mapping agency) https://www.umr-lastig.fr/vgouet/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Karageorgos at psych.uni-frankfurt.de Tue May 26 07:10:09 2026 From: Karageorgos at psych.uni-frankfurt.de (Panagiotis Karageorgos) Date: Tue, 26 May 2026 11:10:09 +0000 Subject: Connectionists: =?utf-8?q?New_Interdisciplinary_Master=E2=80=99s_?= =?utf-8?q?Program_at_Goethe_University=2C_Germany=3A_M=2ESc=2E_ALI_?= =?utf-8?q?=E2=80=93_AI_and_Digital_Technology_in_Learning_and_Instruction?= =?utf-8?q?_=28Start=3A_Winter_2026/27=29?= In-Reply-To: References: Message-ID: <570e0070635e4f97b7fd30069e4821dd@psych.uni-frankfurt.de> Dear Connectionists Community, We would like to draw your attention to our new interdisciplinary Master?s program offered jointly by Psychology and Computer Science, "ALI ? AI and Digital Technology in Learning and Instruction" at Goethe University Frankfurt, Germany. The program is aimed at students with a B.Sc. degree in Psychology or Computer Science and is scheduled to start in the winter semester of 2026/27, designed to qualify students for scientific, practical, and strategic roles in the field of artificial intelligence and digital technologies for educational processes. Key Facts: - Degree: Master of Science (M.Sc.) - Format: On-campus, Full-time - Language Requirements: English (CEFR Level C1) and German (CEFR Level B2) - Tuition: Tuition-free (only standard semester fees apply; ~400? per semester) - Duration: 4 semesters - Start: Winter semester only - Admission: Unrestricted, with an aptitude assessment procedure - Application Deadline: June 30, 2026 (for the Winter semester 2026/27) Further information about the degree program can be found here: https://tinygu.de/mscali-finder-en If you require any additional information, you can reach us via our Discord server (https://discord.gg/gAS62dnken) or by email at ali_consultation at uni-frankfurt.de. However, please note that the academic advising service cannot answer questions regarding individual admission requirements or applicants' documents (e.g., if applicant?s profile fits the program). Please feel free to forward this information to anyone else who might be interested. Best regards, The ALI Coordination Team From dhansel0 at gmail.com Tue May 26 09:00:43 2026 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 26 May 2026 16:00:43 +0300 Subject: Connectionists: REMINDER: World wide VVTNS series (6th season): Equilibrium Geometry and Chaotic Dynamics in Large Recurrent Neural Networks | Giancarlo La Camera, Stony Brook U.| Wednesday, May 27, 2026, at 11:00 am ET 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 Giancarlo La Camera Stony Brook University on the topic of Equilibrium Geometry and Chaotic Dynamics in Large Recurrent Neural Networks The lecture will be held on Zoom on May 27, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Large recurrent networks are important models in several fields, including neuroscience, machine learning, physics, and applied mathematics. Yet their dynamics are difficult to study directly, because high-dimensional nonlinear systems can exhibit rich behavior that is hard to summarize in terms of individual trajectories. In this talk, I will discuss an approach that seeks to understand such dynamics through the structure of the network?s equilibria. I will focus on a random balanced network of threshold-linear units that undergoes a transition from a single stable equilibrium to extensive chaos as the disorder strength crosses a critical value. Using a combination of Kac?Rice theory, replica calculations, numerical root-finding, and dynamical mean-field theory, we show that the chaotic regime contains an exponentially large number of equilibria. These equilibria are all saddles, but with only a fractionally small number of unstable directions. Surprisingly, despite the completely random connectivity, the equilibria are not scattered randomly through phase space. Instead, they are strongly correlated and confined to a comparatively small region. The chaotic attractor lies within this same region, suggesting a direct geometric link between the organization of unstable equilibria and the collective structure of the dynamics. This picture helps explain why networks with extensive chaos can nevertheless display dynamics dominated by a relatively small number of collective modes. More broadly, the results suggest that the geometry of equilibria provides a useful complementary perspective to dynamical mean-field theory for understanding high-dimensional neural dynamics. *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 lorenzo.cazzaro at uni.lu Wed May 27 03:18:14 2026 From: lorenzo.cazzaro at uni.lu (Lorenzo CAZZARO) Date: Wed, 27 May 2026 07:18:14 +0000 Subject: Connectionists: [RAISE 2026 CfP] Workshop on Real-world AI Security and Engineering for Cybersecurity Systems @ ESORICS 2026 Message-ID: -- Apologies for cross-postings -- 1st Workshop on Real-world AI Security and Engineering for Cybersecurity Systems (RAISE 2026), co-located with ESORICS 2026, Rome, Italy, September 17-18, 2026 *** Call for Papers *** Artificial Intelligence (AI) and Machine Learning (ML) are increasingly central to modern cybersecurity systems, where they support security-critical decisions and therefore require strong robustness, reliability, and trustworthiness. However, securing AI-based cybersecurity mechanisms in real-world deployments is difficult because they are often part of complex pipelines involving multiple AI and rule-based components, control logic, data flows, and human oversight. Operational constraints and evolving threats can reveal vulnerabilities that isolated or benchmark-based evaluations miss, with many risks emerging only at the system level under realistic conditions. The 1st Workshop on Real-world AI Security and Engineering for Cybersecurity Systems (RAISE 2026), co-located with ESORICS 2026, aims to bring together researchers and practitioners from academia, industry, and public institutions to discuss recent advances and open challenges in the design, deployment, evaluation, and protection of AI-based cybersecurity systems. The workshop focuses on understanding the security properties, limitations, and failure modes of AI-based components as they are designed and operated in realistic security environments, not in isolation, and at scale. RAISE welcomes contributions that critically analyze how AI-based cybersecurity mechanisms fail, degrade, or are exploited in practice, as well as work that explores how AI can be reliably and securely leveraged to strengthen cybersecurity systems under real-world operational constraints. Both defensive and offensive perspectives are within scope, provided that they are grounded in realistic threat models, deployment assumptions, and system constraints. The workshop particularly encourages submissions from industrial practitioners and applied researchers, whose insights are essential for understanding operational realities, system integration challenges, and real-world trade-offs. In addition to traditional research papers, we explicitly welcome experience reports, empirical studies, preliminary results, and negative or unexpected findings that shed light on the gap between academic assumptions and operational reality. Topics of interest include (but are not limited to): * AI-driven cybersecurity systems under real-world operational constraints. * Threat modeling and adversarial exposure of AI-based security systems. * Evaluation methodologies under operational and adversarial constraints. * Trust, explainability, and compliance in deployed AI-based security systems. * Defensive engineering and operational hardening of AI-based cybersecurity systems. * Human?AI interaction, data pipelines, and model lifecycle security. Important Dates: * Paper submission deadline: June 22, 2026 AoE * Notification to authors: July 22, 2026 AoE * Camera-ready deadline: August 7, 2026 AoE A second submission round is conditional and will only be activated if sufficient community interest is expressed through the registration form in the workshop website. The paper submission deadline for this round is July 20, 2026, AoE. Submission Categories: * Full papers (up to 12 pages) * Non-archival papers (up to 6 pages) Accepted full papers will appear in the Springer LNCS workshop proceedings. Non-archival submissions may include previously published or concurrently submitted work and will not appear in the proceedings. Webpage: https://raise-workshop.github.io/ Workshop Organizers * Antonio Emanuele Cin?, University of Genoa, Italy * Lorenzo Cazzaro, University of Luxembourg, Luxembourg * Bhupendra Acharya, University of Louisiana at Lafayette, USA Steering Committee * Sadia Afroz, Gen Digital Inc. * Giovanni Apruzzese, Reykjav?k University * Maxime Cordy, University of Luxembourg * Engin Kirda, Northeastern University * Andrew Paverd, Microsoft * Vera Rimmer, KU Leuven * Fabio Roli, University of Genoa -------------- next part -------------- An HTML attachment was scrubbed... URL: From giovanni.stanco at unina.it Wed May 27 12:44:37 2026 From: giovanni.stanco at unina.it (GIOVANNI STANCO) Date: Wed, 27 May 2026 16:44:37 +0000 Subject: Connectionists: [CFP: AIMEH'26 - WiMob'26] Second International Workshop on AI for Mobile & Wireless Health: Advancing Explainability in the Future of Healthcare 2026 In-Reply-To: References: Message-ID: Second International Workshop on AI for Mobile & Wireless Health: Advancing Explainability in the Future of Healthcare 2026 (AIMEH'26) Joint with the 22nd International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2026) Avignon, France // 14 - 16 October 2026 https://sites.google.com/view/aimeh2026/home-page<%20https:/sites.google.com/view/aimeh2026/home-page%0d> Call for Papers The Second International Workshop on AI for Mobile & Wireless Health: Advancing Explainability in the Future of Healthcare 2026 (AIMEH'26) invites high-quality submissions of papers describing original and unpublished research results regarding the use of AI and XAI in next-gen wireless and mobile networks in the context of healthcare. TOPICS OF INTEREST Topics of interest include, but are not limited to: * 5G Network architectures and protocols for medical applications * Wi-Fi adoption in healthcare IoT and real-time medical data transmission * AI adoption in healthcare and networks * Network advancements in telemedicine * 5G, Wi-Fi 6, and AI for Remote Patient Monitoring * AI and ML in data processing, storage, and analytics * AI for Secure and Intelligent Data Transmission for Healthcare * AI-Driven Network Optimization for Healthcare Applications * Interoperability and AI in Smart Healthcare Networks * Privacy-Preserving AI in Networks for Healthcare * Regulatory and Ethical Considerations for AI in Healthcare Networks * Cybersecurity Challenges in AI-Powered Healthcare Systems * Machine Learning for Anomaly Detection in Medical and Network Data * Smart resource allocation for critical healthcare services * Security and Privacy in Wireless Networks for Healthcare * eXplainable AI (XAI) in Networks for Healthcare * XAI for Trustworthy Medical Decision-Making * AI-Powered Digital Twins for Healthcare and Network Optimization * Federated Learning in Healthcare * Advancements in wireless networks for Federated Learning SUBMISSION GUIDELINES All papers accepted by a workshop will be published in the WiMob 2026 Proceedings and will be sent for inclusion in the IEEE eXplore digital library. Workshop papers must follow the guidelines and size limit as provided in the "author guidelines" on the WiMob website: http://www.wimob.org/wimob2026/guidelines.php The submission and revision process will be managed through the EDAS system (submission link: https://edas.info/newPaper.php?c=35176). IMPORTANT DATES * Paper submission deadline for the workshop: July 15, 2026 * Paper acceptance for the workshop: August 15, 2026 * Camera ready & Author Registration: September 1, 2026 * Workshop: October 14, 2026 We look forward to your valuable contributions and hope to see you at the workshop. Best regards, Stefania Zinno and Giovanni Stanco Second International Workshop on AI for Mobile & Wireless Health: Advancing Explainability in the Future of Healthcare (AIMEH'26) -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtkostecki at gmail.com Wed May 27 08:32:53 2026 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Wed, 27 May 2026 14:32:53 +0200 Subject: Connectionists: Upcoming Open Lab Online events in June: Bonsai workshops and a webinar Message-ID: Good morning everyone, We are happy to announce several upcoming *Open Lab Online events* in June: *June 10, 2026 | 16:00-18:00 CEST (UTC+2)* *Introduction to Bonsai (Module I)* An introduction to Bonsai, an open-source reactive programming language widely used in behavioral neuroscience to synchronize data streams, control devices, and run closed-loop experiments. This first module will cover the basics of Bonsai, including its logic, syntax, animal tracking, ROI detection, closed-loop paradigms, and basic logical operations. *Instructor:* Jagoda Nawrocka, University of Warsaw *Fee:* EUR 10, with fee waivers available upon request *Register here:* https://nenckiopenlab.org/event/introduction-to-bonsai-module-i-3/ *June 18, 2026 | 16:00-18:30 CEST (UTC+2)* *Introduction to Bonsai (Module II)* A more advanced Bonsai workshop covering the BonVision library for visual stimulus presentation and VR applications, as well as more complex interactive workflows and behavioral subjects. *Instructor:* Mateusz Kostecki, Heidelberg University *Fee:* EUR 10, with fee waivers available upon request *Register here:* https://nenckiopenlab.org/event/introduction-to-bonsai-module-ii/ *June 29, 2026 | 16:00-17:00 CEST (UTC+2)* *Webinar: How to start research on a new animal model?* A discussion on how to choose a new animal model, learn about its ecology and behavior, find or build a community, and avoid common pitfalls when entering a new research system. *Speaker:* Mateusz Kostecki, Heidelberg University *Register here:* https://nenckiopenlab.org/event/webinar-how-to-start-research-on-a-new-animal-model/ If you have any questions, feel free to contact us by email or reach out to us on Discord. Best, Open Lab Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabian.braesemann at oii.ox.ac.uk Wed May 27 10:46:45 2026 From: fabian.braesemann at oii.ox.ac.uk (Fabian Braesemann) Date: Wed, 27 May 2026 14:46:45 +0000 Subject: Connectionists: =?utf-8?q?Submit_to_COMPLEX_NETWORKS_2026_=28?= =?utf-8?b?8J+TjUdyYW5hZGEsIFNwYWluKSDigJMg8J+OpCBLZXlub3RlcyBBbm5vdW5j?= =?utf-8?q?ed_=26_=F0=9F=93=9A_2025_Proceedings_Free!?= Message-ID: Dear colleagues, ? COMPLEX NETWORKS 2026 will take place in Granada, Spain ? Conference: December 2-4, 2026 ? Submission Deadline: September 2, 2026 We invite you to submit your work and join one of the most vibrant communities in network science and complex systems. ________________________________ ? Keynote Speakers Hear from global leaders pushing the boundaries of network science: * Alexandra Brintrup - University of Cambridge, UK * Nitesh Chawla - University of Notre Dame, USA * From Ships to Molecules: Higher-Order Graph Learning Across Scales * Kimmo Kaski - Aalto University, Finland * Bruno Lepri - Bruno Kessler Foundation, Italy * Eckehard Scholl - TU Berlin, Germany * Synchronization Scenarios in Complex Networks: from Brain Dynamics to Power Grids ?A must-attend conference" ________________________________ ? Free Access to COMPLEX NETWORKS 2025 PROCEEDINGS Until May 31, 2026, download: * ? Springer Proceedings (Volumes 1?4) * ? Book of Abstracts ? Access here https://complexnetworks.org/proceedings/ ________________________________ ? Call for Submissions ? Full Papers (max 12 pages) ? Published in the Springer LNCS Proceedings ? Extended Abstracts (max 4 pages) ? Included in the Book of Abstracts (with ISBN) ? Submit your work: ? https://complexnetworks.org/submission/ Templates and guidelines are available on the site. Don?t miss this opportunity to share your work, meet leading researchers, and explore the future of complex networks. We look forward to your submission! Warm regards, The COMPLEX NETWORKS 2026 Organizing Committee ? hocine.cherifi at gmail.com | ? https://complexnetworks.org PS: Welcome to join the group of Complex Networks on LinkedIn (https://www.linkedin.com/groups/17872021) and follow us on X/Twitter (@ComplexNetConf)! --- Dr Fabian Braesemann Departmental Research Lecturer in AI & Work Oxford Internet Institute, University of Oxford Publicity Co-Chair International Conference on Complex Networks and their Applications fabian.braesemann at oii.ox.ac.uk +44 7731 700 704 Departmental website | Google Scholar | LinkedIn -------------- next part -------------- An HTML attachment was scrubbed... URL: From spp2205 at ds.mpg.de Thu May 28 07:31:56 2026 From: spp2205 at ds.mpg.de (MPSF, SPP2205) Date: Thu, 28 May 2026 11:31:56 +0000 Subject: Connectionists: =?cp1250?q?reminder=3A_Call_for_participation_=26?= =?cp1250?q?_posters_-_workshop_=93Cortex_Structure_and_Function_in_Mouse?= =?cp1250?q?=2C_Monkey_and_Man=94_=28deadline_for_pre-registration_May_31?= =?cp1250?q?=2C_2026=29?= Message-ID: Just a quick reminder: The deadline for pre-registration is approaching (May 31, 2026)? Dear all, hereby, we would like to draw your attention to the upcoming workshop ?Cortex Structure and Function in Mouse, Monkey and Man?. This workshop aims to bring together researchers from the fields of systems neuroscience, comparative transcriptomics, connectomics, and primate palaeobiology in one place to foster mutual awareness and interdisciplinary discussions as well as identify yet unknown principles in the development, organization and function of the primate brain from computational and experimental points of view. * when: Sep 21-24, 2026 * where: Hanse Wissenschaftskolleg (HWK) Delmenhorst, Germany * pre-registration by May 31, 2026 via https://www.uni-bremen.de/hwk-workshop-2026 workshop outline: Evolution in mammal brains has formed basic building blocks that might superficially look similar, but are organized in different structures and are obviously specialized for distinct computations. Accumulating evidence indicates that, while rodents are close evolutionary relatives to our own primate lineage, fundamental changes on all levels of brain organization occurred at the primate-rodent-split. In addition, subsequent primate evolution appears to be marked by apparently qualitative grade shifts. Recent progress across distinct disciplines provides a springboard to take a fresh perspective on what makes primate brains special. This workshop aims to enhance this comparative cognition perspective by contributions on avians and machines, which, despite having very different ?brain? structures, perform functions that are surprisingly similar to those of mammals. Confirmed speakers: Tatjana Engel, Katja Nowick, Marieke Sch?lvinck, Matthias Kaschube, Henner Koch, Ken Miller, Huib Mansfelder, Wiktor M?ynarski, Fabian Sinz, Andreas Neef, Dan Eric Nilsson, Madineh Sedigh-Sarvestani, Ziad Hafed, Fred Wolf, Daniel Huber, Alessandro Treves, David Dahmen, Neda Shahidi, Jonas Rose, Andreas Kreiter and Udo Ernst. For further information and pre-registration visit https://www.uni-bremen.de/hwk-workshop-2026. The workshop is co-funded by the Priority Program SPP 2205 Evolutionary Optimization of Neuronal Processing and NeuroNex Working Memory. We are very much looking forward to meeting you in September! Best regards (on behalf of the organizers), Britta **************** Dr. Britta Korkowsky Coordinator Goettingen Campus Institute for Dynamics of Biological Networks (CIDBN) Bernstein Center for Computational Neuroscience Graduate Program in Theoretical and Computational Neuroscience SPP 2205 Evolutionary Optimization of Neuronal Processing University of Goettingen Heinrich-D?ker-Weg 12 37073 G?ttingen Tel.: +49-551-39-26675 -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.C.Bowes at sussex.ac.uk Thu May 28 11:20:33 2026 From: S.C.Bowes at sussex.ac.uk (Simon Bowes) Date: Thu, 28 May 2026 15:20:33 +0000 Subject: Connectionists: Early bird rate ends 31 May for AISB26 @Sussex Message-ID: [AISB Convention 2026 Banner] AISB Convention 2026 Early bird rate ending 31st May! 1-2 July 2026 University of Sussex, Brighton, UK The 2026 convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) will be held as an in-person only event on 1st and 2nd July 2026, at the beautiful Sussex campus, surrounded by the South Down?s National Park, minutes by train from the vibrant beachside town of Brighton. The day before, on 30 June, we are holding a Day of celebration for the life and work of Prof Margaret Boden. This will include talks on themes related to her work, personal reflections by those who worked with her, and a panel discussion on her legacy. See: https://www.sussex.ac.uk/cogs/seminars/celebrating-margaret-boden Programme & Tracks 1st July Keynote: Anil Seth: Professor of Cognitive and Computational Neuroscience, University of Sussex * Explainability and Transparency in AI (XTAI-2026) (https://xtai-symposium.github.io/) * AI, Consciousness and Ethics (https://www.sussex.ac.uk/research/centres/ai-research-group/news-and-events/news?id=69757) * Hype, Promise, and Speculation: AI Bubbles and the Replication Crisis in Computer Science (https://aisb.org.uk/aisb-2026-symposium-hype-promise-and-speculation/) * Ethics of Generative-AI Assisted Authoring (https://sussexhumanitieslab.wordpress.com/2026/01/16/aisb-2026-symposium-1-2-july-university-of-sussex/) * Varieties of free will and agency (https://freewillandagency.wordpress.com/) * Symposium on AI and Cognitive Sciences in Education (AICSED2026) (https://aicsed.github.io/2026/) 2nd July Keynote: Philip Ball: Science Writer (The Book of Minds) * AI, Consciousness and Ethics 2 (https://www.sussex.ac.uk/research/centres/ai-research-group/news-and-events/news?id=69757) * Foundations of computation (https://sites.google.com/view/foundations-of-computation) * Is consciousness a story we tell ourselves? Internal language and consciousness after chain of thought reasoning (https://astorywetell.github.io/) * Is there still life in the Turing test? (https://turingtestlives.wordpress.com/) * Values and Preferences in Reasoning (https://www.vprsymposium.com/) There will also be a general track for individuals who would like to present their standalone research. Conference Dinner: The Seahorse (https://seahorsebrighton.co.uk/) * Three course set menu, with 3 drinks included (?56.75), on the beach. Conference registration includes: * Breakfast (coffee & pastries) * Buffet lunch * Afternoon coffee General Information The University of Sussex campus is a modernist masterpiece surrounded by the South Downs National Park, just a few minutes by train from the vibrant and open-minded city of Brighton, with its historical beach, famous club/pub scene, and many quirky shops. Easily reachable from Gatwick (30 mins) and London (1 hour). Founded in the ?60s with a charter emphasising interdisciplinarity, in the 80?s Professor Margaret Boden established the School of Cognitive and Computing Sciences (COGS), a groundbreaking centre for research and teaching in AI. COGS continues to deliver interdisciplinary education and host cutting-edge research. Registration Registration is available on the convention webpage: https://aisb.org.uk/aisb-convention-2026/. Registration fees Full One day Earlybird Regular Earlybird Regular Attendees ? members ?250 ?280 ?190 ?220 Attendees ? non-members ?310 ?340 ?250 ?280 Student members ?150 ?170 ?110 ?130 Student non-members ?180 ?200 ?140 ?160 Corporate rate ?600 ?660 ?450 ?510 (Earlybird rate until 31st May) Program Committee General Chair: Bertie M?ller (Swansea University) Convention Organiser: Simon Bowes (University of Sussex) Venue University of Sussex Falmer Brighton, BN1 9RH United Kingdom Travel Local Bus Services Brighton & Hove Buses (https://www.buses.co.uk/) has an extensive network of buses around town, to the campus, and onwards to Lewes and other nearby towns. Arriving By Train The Gatwick Express (https://www.gatwickexpress.com/) runs from Brighton to London. Arriving By Car Details of getting to Sussex campus by car, parking, and other transport information can be found here: https://www.sussex.ac.uk/about/directions Accommodation VisitBrighton is the official accommodation booking provider for AISB26. They are delighted to offer specially negotiated accommodation rates for attendees at local hotel accommodation. This website will be open for bookings until 24 June 2026 but we advise early booking in order to guarantee your preferred hotel. Through this website you can book, modify or cancel your hotel reservations at any time. On the website you can also find links to information on travel, food and entertainment in the city. We look forward to seeing you. Delegates can also benefit from discounts to attractions, restaurants and shops: https://www.visitbrighton.com/special-offers/delegate-deals-o2311 [A building with a roof and trees Description automatically generated] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 198942 bytes Desc: image002.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.jpg Type: image/jpeg Size: 90450 bytes Desc: image003.jpg URL: From cis-ram2026 at outlook.com Fri May 29 00:20:23 2026 From: cis-ram2026 at outlook.com (CIS-RAM 2026) Date: Fri, 29 May 2026 04:20:23 +0000 Subject: Connectionists: Important: CIS-RAM 2026 Late Breaking Reports Deadline Extended to 21 Jun 2026 Message-ID: 12th IEEE International Conference on Cybernetics and Intelligent Systems & Robotics, Automation and Mechatronics (CIS-RAM 2026) 5-7 August 2026 | Changchun, China | https://www.cis-ram.org/2026/ 3 August 2026 | Noida, India (Satellite) Dear Friends and Colleagues, We are delighted to invite you to participate in the 12th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) & the 12th IEEE International Conference on Robotics, Automation and Mechatronics (RAM), which will be held from August 5 to 7, 2026, in the beautiful city of Changchun, China, as well as on 3 August 2026, in Noida, India (Satellite). About CIS-RAM The IEEE International Conferences on CIS-RAM have always been held together, to exploit the synergistic relationship between both areas. CIS-RAM was first held in Singapore in 2004, followed by Thailand in 2006, Chengdu (China) in 2008, Singapore in 2010, Qingdao (China) in 2011, Manila (Philippines) in 2013, Angkor Wat (Cambodia) in 2015, Ningbo (China) in 2017, Bangkok (Thailand) in 2019, Penang (Malaysia) in 2023, and Hangzhou (China) in 2024. The 12th IEEE International Conferences on CIS-RAM will be held in Changchun, China on 5-7 August 2026 and in Noida, India (Satellite) on 3 August 2026. Programs and Topics on CIS Cybernetics Automation and Control, Cooperative Systems and Control, Computational Intelligence, Multi-Agent Systems, Supervisory Control, Hybrid Systems, Neural Networks, Deep Reinforcement Learning, Genetic Algorithms, Evolutionary Computation, Systems Modeling & Control, Optimization, Smart Sensor Networks, Blockchain Technologies, Networked Dynamical Systems, Discrete Event Systems, Swarm Intelligence, Soft Computing, Fuzzy Systems, Decision Support Systems, System of Systems, Big Data, Internet of Things, Image Processing, Environmental Systems, Systems Biology, Cyber-physical Systems, Human/Machine Systems, Transportation Systems, Manufacturing Systems, Smart City, Resource Management, Energy Efficiency, Artificial Intelligence Generated Content, Large Language Models, Natural Language Processing. Programs and Topics on RAM Robotics and Automation in Unstructured Environment, Personal and Service Robotics, Underwater Robotics, Medical Robots and Systems, Social Robotics, Robotics and Automation Applications, Sensor Design, Integration, and Fusion, Robot Vision, Deep Learning, Embodied AI, Human-Robot Interfaces, Haptics, Tele-robotics, Network Robotics, Micro/Nano, Distributed, Cellular, and Multi-robot Systems, Biologically-Inspired Robots and Systems, Intelligent Transportation Systems, Modeling, Planning and Control, Kinematics, Mechanics, and Mechanism Design, Legged Robots, Wheeled Mobile Robots, Aerial Robotics, Dynamics, Motion Control, Force/Impedance Control, Architecture and Programming, Methodologies for Robotics and Automation, Virtual Reality, Localization & Tracking, A Fleet of AGVs. Invited Sessions The conference will feature invited sessions on specialized topics of interests. The invited sessions are intended to usher in-depth discussions in special areas relevant to the conference theme. Best Paper Awards The conference will provide three categories of awards: best conference paper, best student paper and best application paper awards. Paper Submission Papers must be written in English and should describe original work. Papers should be six pages (A4 size) in length, with up to two extra pages. The number of pages includes the references, appendices, etc. All the papers in the conference proceedings will be indexed in the IEEE Library and ISI Proceedings. Please note papers will be published in the conference proceedings only if at least one of the authors is officially registered. Accepted papers will be submitted for possible inclusion into IEEE Xplore subject to meeting IEEE Xplore?s scope and quality requirements. For more details, please check https://www.cis-ram.org/2026/OnlinePaperSubmission.html Important Dates (Rescheduled) Conference/Invited Session Paper Submission, 26 Apr 2026 Notification of Acceptance, 17 May 2026 Final Camera-Ready Deadline, 31 May 2026 Early-bird Registration Deadline, 31 May 2026 Late Breaking Reports Deadline, 21 Jun 2026 For general conference information, please contact the General Chair and the Conference Secretary: cis-ram2026 at outlook.com Sincerely Yours, Rui Ma, Hyung Jin Chang, Xin Wang and Bernard How Publicity Chairs, CIS-RAM 2026 -------------- next part -------------- An HTML attachment was scrubbed... URL: From stephan.petrone at gmail.com Thu May 28 11:34:51 2026 From: stephan.petrone at gmail.com (Stephan Petrone) Date: Thu, 28 May 2026 17:34:51 +0200 Subject: Connectionists: Quantum & Neuromorphic Optimization: Last Seats @ MESS 2026 Message-ID: Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2026 - Metaheuristics Summer School ~ Emerging Computing Paradigms for Optimization: from Quantum to Neuromorphic ~ 6-10 July 2026, Catania, Italy https://www.ANTs-lab.it/mess2026/ mess.school at ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- ** LAST SEATS AVAILABLE ? APPLICATION & ABSTRACT DEADLINE: June 15, 2026 ** Apply Now Here: https://www.ants-lab.it/mess2026/apply.html ** Why Join MESS 2026? Are you a PhD student, Postdoc, or Early-Career Researcher looking to pioneer the next generation of computational research? MESS 2026 offers an intensive, high-impact deep dive into the frontiers of Quantum and Neuromorphic computing. This year, we explore the entire technological stack?from cutting-edge architectures and programming models to advanced optimization algorithms for complex, real-world problems. Through a perfect blend of theoretical lectures and hands-on practical sessions delivered by world-class experts, you will gain the concrete skills needed to lead innovation in next-generation optimization. ** Key Benefits for Participants: - Earn 8 ECTS Credits: the school features 36-40 hours of rigorous academic training, fully certified for PhD and Master curricula; - Present Your Research: don't just listen? showcase your work! Submit an abstract of your current research or work-in-progress for an Oral or Poster Presentation. It?s the perfect stage to get valuable feedback from peers and seniors; - Networking & Mentorship: connect directly with international leaders from both academia and industry (including IBM Research, NVIDIA, ETH Zurich, and more). ** School Lineup & Topics: # QUANTUM COMPUTING: + Siddhartha Bhattacharyya, VSB Tech. Un. Ostrava, Czech Republic lecture1: "Introduction to Quantum Computing" lecture2: "Quantum Neural Networks: From Quantum-Inspired Framework to Quantum-Gate Framework" + Linsey Rodenbach, Quantum Computing at NVIDIA - Lectures TBA + Philippe Lacomme, Universit? Clermont-Auvergne, CNRS, France - Lectures TBA # NEUROMORPHIC COMPUTING: + Irem Boybat, IBM Research Zurich, Switzerland - Lectures TBA + Elisa Donati, Institute of Neuroinformatics UZH/ETH lecture1: "Neural networks and neural computing" lecture2: "Neuromorphic Computing and Technology" + El-Ghazali Talbi, University of Lille, France lecture1: "Neuromorphic computing: A gentle introduction" lecture2: "Neuromorphic-based optimization: Algorithms based on metaheuristics and computational biology" + Jorge Cruz-Duarte, University of Lille, France lecture1: "Neuromorphic-based optimization: Software framework under Lava and Nengo" ** Call for Abstracts: Share Your Work! We encourage all young researchers to submit a short abstract during the application process. - Formats: Selected abstracts will be assigned as Oral Presentations or Posters. - Publication: All accepted abstracts will be published in the official MESS 2026 Electronic Hand-out Book. - Deadline: June 15, 2026. ** MESS 2026 DIRECTORS: - Salvatore Greco, University of Catania, Italy - Mario Pavone, University of Catania, Italy - Andrea Schaerf, University of Udine, Italy - El-Ghazali Talbi, University of Lille, France - Daniele Vigo, University of Bologna, Italy ** MORE INFORMATION: https://www.ANTs-lab.it/mess2026/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From safesurgworkshop at gmail.com Thu May 28 12:51:47 2026 From: safesurgworkshop at gmail.com (safe surg) Date: Thu, 28 May 2026 18:51:47 +0200 Subject: Connectionists: Call for Papers - SafeSurg: Workshop on AI for Safe Surgery, MICCAI2026 Message-ID: Dear all, We are writing to announce *SafeSurg: Workshop on AI for Safe Surgery,* an inaugural workshop held at MICCAI (Medical Image Computing and Computer Assisted Interventions) 2026, one of the top conferences in the field of medical image computing and surgical AI, to be held between 27th Sept- 1st Oct 2026 in Strasbourg, France. Surgery concentrates several open problems in computer vision and machine learning in a high-stakes safety-relevant setting: rare event detection under extreme class imbalance, distribution shift across centres and devices, learning from ambiguous and disagreeing labels, calibrated uncertainty, and the design of human-AI interfaces for reliable use. SafeSurg brings together researchers, clinicians, and industry partners around these real-world, clinically meaningful problems. We invite full paper submissions (Springer LNCS format, 8 pages) on safety-directed topics, including safe data use and annotation frameworks, safety-critical applications such as adverse event detection and anticipation, surgical quality measures, robustness and multi-centric evaluation, and human-AI interfaces for the operating room. The full list of topics and submission details is available on the workshop website: https://camma-public.github.io/safesurg-workshop/ *Key dates:* Paper submissions due 1 July 2026. Submissions will be managed via OpenReview here: https://openreview.net/group?id=MICCAI.org%2F2026%2FWorkshop%2FSafeSurg *Call for reviewers:* We are also recruiting reviewers for the workshop. If you would like to contribute to the review process, please sign up here: https://docs.google.com/forms/d/e/1FAIpQLSdrzGCAp2-sE1CuPg80EwPpjRpzYeTOwCWCQio7s38B_8C5jQ/viewform. We welcome reviewers across career stages and encourage expressions of interest from researchers and clinicians working on any of the workshop topics. Please feel free to forward this announcement to colleagues and students who may be interested. We look forward to your contributions and to seeing you on the workshop day! Best regards, Lalith Sharan on behalf of the SafeSurg organising committee Nicolas Padoy ? Pietro Mascagni ? Namkee Oh ? Sophia Bano ? Hongliang Ren -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Thu May 28 08:42:05 2026 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Thu, 28 May 2026 14:42:05 +0200 Subject: Connectionists: CFP: WSOM+ 2026 (co-organized with IDEAL 2026, Manchester, UK) - 1 month prior deadline Message-ID: -- Apologies in advance for multiple postings -- Call for Papers: WSOM+ 2026 16th International Workshop on Self-Organizing Maps, Learning Vector Quantization & Beyond Co-organized with IDEAL 2026 Manchester, UK, 19-21 November 2026 WSOM+ 2026 invites original contributions related to the theoretical, methodological, and application-oriented aspects of unsupervised learning, Self-Organizing Maps, Learning Vector Quantization, clustering, data visualization, and closely related topics. WSOM+ provides an international forum for research on SOM, LVQ, prototype-based learning, interpretable models, and related methods for unsupervised and supervised data analysis, visualization, and applications. Topics of interest include, but are not limited to: - Self-Organizing Maps and related models - Learning Vector Quantization - Prototype-based Learning - Vector Quantization - Clustering and Unsupervised Learning - Data Visualization - Embedding Techniques - Statistical Data Analysis and Machine Learning - Interpretable Models - Confidence & Transfer Learning - Hardware and Neuromorphic Hardware for LVQ & SOM We also encourage scientific and application-oriented papers demonstrating the use of these methods in areas including, but not limited to: - Data mining, including stream mining and process mining - Pattern recognition - Knowledge management - Business intelligence and financial analysis - Anomaly detection and outlier analysis - Industrial applications - Scientific applications - Bioinformatics, biostatistics, and applications in biomedicine and healthcare - Telecommunications - Transport optimization - Cognitive modeling - Language modeling - Robotics and intelligent systems - Image processing and vision - Speech processing - Text and document analysis IMPORTANT DATES: ? Paper submission deadline: 1 July 2026 ? Notification of acceptance: 1 September 2026 ? Final version due: 11 September 2026 ? Conference dates: 19-21 November 2026 SUBMISSION: Submission will be handled via the IDEAL 2026 online submission system (CMT). https://cmt3.research.microsoft.com/IDEAL2026/Submission/Index If you select [Create a new submission] please select WSOM+2026 in the pulldown menu. PUBLICATION: The WSOM+ 2026 proceedings will be published by Springer in the Lecture Notes in Networks and Systems (LNNS) series. FURTHER INFORMATION: For updates, please see: https://personen.fiw.thws.de/wsom/ More details on submission, registration, and program will follow soon. All the best Frank -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science Technical University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at thws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From emergingtechnetwork.publicity at gmail.com Thu May 28 10:33:28 2026 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Thu, 28 May 2026 17:33:28 +0300 Subject: Connectionists: SNAMS 2026 : The IEEE co-sponsored 13th Conference on Social Networks Analysis, Management and Security, 17 - 20 November 2026 | Barcelona, Spain Message-ID: [Apologies if you got multiple copies of this invitation] The 13th International Conference on Social Networks Analysis, Management and Security(SNAMS-2026) https://emergingtechnet.org/SNAMS2026/index.php 17 - 20 November 2026 | Barcelona, Spain (Technically Co-Sponsored by IEEE Spain Section) *SNAMS 2026 CFP* Social network analysis is concerned with the study of relationships between social entities. The recent advances in internet technologies and social media sites, such as Facebook, Twitter and LinkedIn, have created outstanding opportunities for individuals to connect, communicate or comment on issues or events of their interests. Social networks are dynamic and evolving in nature; they also involve a huge number of users. Frequently, the information related to a certain concept is distributed among several servers. This brings numerous challenges to researchers, particularly in the data mining and machine learning fields. SNAMS 2026 aims to investigate the opportunities and in all aspects of Social Networks. In addition, it seeks for novel contributions that help mitigate SNAMS challenges. That is, the objective of SNAMS 2026 is to provide the opportunity for students, scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Social Networks. Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to: *SYSTEMS & INFRASTRUCTURE* Systems and algorithms for social search Infrastructure support for social networks and systems Dynamics and evolution patterns of large and complex networks Social properties in systems design Learnings from operational social networks Big Data and Social Paradigms *ALGORITHMS AND MODELS* Deep Learning and Knowledge Discovery. Measurement and analysis of social and crowdsourcing systems Benchmarking, modeling, performance and workload characterization Modeling Social Networks and behavior Management of social network data Methods for social and media analysis Information propagation and assimilation in social networks Data mining and machine learning in social systems *APPLICATIONS* Novel social applications and systems Transient OSNs (e.g. Snapchat) Special purpose OSNs (e.g., Instagram, Vine) Communities in social networks Collaboration networks New models of advertising and monetization in social networks *PRIVACY & SECURITY* Privacy and security in social systems Trust and reputations in social systems Detection, analysis, prevention of spam, phishing, and misbehavior in social systems * Submission Types:* Accepted types of submissions are including: * Full papers (8 Pages), * Short papers and PhD forum (6 Pages) * Workshop papers (6 Pages) * Posters and demos (2 Pages). All accepted papers will be published in the conference proceedings and submitted to IEEE for publication. *SNAMS 2026 Joint Workshops * The 14th workshop on Big Data and Social Networking Management and Security (BDSN 2026) The 10th Workshop on Data Science Engineering and its Applications (DSEA 2026) The 12th Workshop on Online Social Networks Technologies (OSNT 2026) The 10th Workshop on Advances in Natural Language Processing (ANLP 2026) The 9th Workshop on Sentiment Analysis and Mining of Social Networks (SAMSN 2026) The 4th Workshop on Cognitive and Neural Systems (CNS 2026) *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format (IEEE Templates ). All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the SNAMS Proceedings, and be submitted to IEEE for inclusion. *Important Dates* Submission Date: 21 July 2026 Notification to Authors: 25 September 2026 Camera Ready and Registration: 10 October 2026 Please send any inquiry to the SNAMS Team at: emergingtechnetwork at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Thu May 28 21:44:47 2026 From: terry at salk.edu (Terry Sejnowski) Date: Thu, 28 May 2026 18:44:47 -0700 Subject: Connectionists: NEURAL COMPUTATION - June, 2026 In-Reply-To: Message-ID: r NEURAL COMPUTATION - Volume 38, Number 6 - June 1, 2026 http://www.mitpressjournals.org/toc/neco/38/6 http://cognet.mit.edu/content/neural-computation Articles Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference Niels Leadholm, Viviane Clay, Scott Knudstrup, Hojae Lee, and Jeff Hawkins Implicit Generative Modeling by Kernel Similarity Matching Shubham Choudhary, Paul Masset, and Demba Ba Perceptual Processes as Charting Operators Peter Neri Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment Ruiqi Chen, Giacomo Vedovati, Todd Braver, and ShiNung Ching Letters Towards Enhancing RMSProp With Forward-Looking Gradient Updates for Complex Loss Landscapes Rafa? Wolniak and Bo?ena Kostek Graphon Signal Processing for Spiking and Biological Neural Networks Takuma Sumi and Georgi S. Medvedev ----- 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 jorgecbalmeida at gmail.com Thu May 28 11:11:42 2026 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Thu, 28 May 2026 16:11:42 +0100 Subject: Connectionists: [Registration open] Fourth edition of the Seeing and Acting Workshop (SAW). University of Coimbra, Portugal, 24-26 September 2026 Message-ID: Dear colleague, (Sorry for the cross posting and mass email) *Registration* and *abstract submission* are now *open* for the fourth edition of the *Seeing and Acting Workshop (SAW )* that will take place at the Faculty of Psychology and Educational Sciences of the University of Coimbra, *September 24-26, 2026 in Coimbra, Portugal*. Please register here: SAW 2026 - Seeing and Acting Workshop | Eventos | Universidade de Coimbra For the fourth edition of SAW, we have, once again, an exciting and stimulating group of Invited Speakers: ? *Marina Bedny*, Johns Hopkins University, USA ? *Jeffrey Bowers*, University of Bristol, , UK ? *Tim Kietzmann*, University of Osnabr?ck, Germany ? *Robeta Klatzky*, Carnegie Mellon University, USA ? *Kami Koldewyn*, Bangor University, UK ? *Marius Peelen*, Radboud University, Netherlands ? *Elizabeth Tibbetts*, University of Michigan, USA The goal of SAW is to provide a forum for cognitive science/neuroscience researchers from a range of perspectives who are interested in Perception and Action, broadly construed, to come together to discuss their research and develop new directions and collaborations. The format of the workshop is intended to encourage extensive discussion among participants. To this end, we have scheduled only a small number of invited speakers, and there are no concurrent talks. In addition to the individual seminars, there will be a poster session for students, postdocs and other researchers to present their work. *Abstract submission for posters closes on July 30, 2026*. The five best abstracts whose first author is a student or postdoc will receive a 200 euro award sponsored by NeuroVerse. Registration for the workshop will be open in a couple of weeks. To register, submit a poster abstract, or for more information, please visit: https://www.uc.pt/cogbooster/saw/2026/ and SAW 2026 - Seeing and Acting Workshop | Eventos | Universidade de Coimbra Please note that there are a limited number of places (~120), which will be assigned on a first come, first served basis. To secure your place, please register as soon as possible. Note that you can register now and submit an abstract later (but before the July 30, 2026 deadline). SAW is powered by the ERA Chair CogBooster, and by the Faculty of Psychology and Educational Sciences of the University of Coimbra, Portugal. Workshop Organizers: Jorge Almeida, Alfonso Caramazza, Paul Downing, Mel Goodale, Zoe Kourtzi, Angelika Lingnau, and Isabel Pav?o Martins -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Fri May 29 03:29:26 2026 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Fri, 29 May 2026 09:29:26 +0200 Subject: Connectionists: Next SIPTA seminar: 4th June 3pm Paris time, Robust and fuzzy statistics by B. Sinova Message-ID: 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 4th of June (Wednesday) The zoom link for this seminar is https://utc-fr.zoom.us/j/85344531099 For this new seminar, we are very happy to have Beatriz Sinova as our speaker. Beatriz Sinova is currently professor at the statistic department of Oviedo University, and has made numerous contributions on fuzzy and robust statistics that have opened new avenues of research in handling uncertainty and imprecision in data analysis. On the 4th of June, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), she will talk about "When robust statistics meets imprecise-valued data?. 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 6th of May, 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=dGcdUJxth00 See you at the seminar! S?bastien, Enrique and Jasper From ludovico.montalcini at gmail.com Fri May 29 10:24:15 2026 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Fri, 29 May 2026 16:24:15 +0200 Subject: Connectionists: =?utf-8?q?=F0=9F=93=A3_Call_for_papers=3A_12th_In?= =?utf-8?q?ternational_Artificial_Intelligence_Symposium_-_AIS_2026?= =?utf-8?q?=2C_21-24_September=2C_Riva_del_Sole_Resort_=26_SPA_=40_?= =?utf-8?q?Tuscany_*_=E2=8F=B0_Submission_Deadline=3A_June_23_*?= Message-ID: * Apologies if you receive multiple copies of this announcement. * * Please kindly help forward it to potentially interested authors/attendees, thanks! * The 12th International Artificial Intelligence Symposium - AIS 2026, ? 21-24 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy ? https://ais2026.icas.events ais at icas.cc SATELLITE EVENT: ? 4th International Meeting on Foundation Models - IMFM2026 ? https://ais2026.icas.events/imfm2026/ ? PAPERS SUBMISSION: All papers must be submitted using EasyChair: ? https://easychair.org/conferences/?conf=ais20260 * ? Paper Submission deadline: June 23 (AoE) * CALL FOR PAPERS: ? https://ais2026.icas.events/call-for-papers/ Please prepare your paper using the Springer Nature - Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF. ? TYPES OF SUBMISSIONS: When submitting a paper to AIS 2026, authors are required to select one of the following three types of papers: * Long Paper / Late breaking paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); the long papers and the late breaking papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings. * Short Paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); the short papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings. * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference; Articles/Abstracts accepted in this special session will not be published in the Conference Proceedings by Nature-Springer LNCS. * work for poster presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference. Articles/Abstracts accepted in this special session will not be published in the Conference Proceedings by Nature-Springer LNCS. KEYNOTE SPEAKERS: As in previous editions, the conference will be co-located with the International Artificial Intelligence Summer School (IAISS 2026), fostering a unique and stimulating environment for interdisciplinary exchange. This co-location is intended to strengthen the interaction between researchers, practitioners, and students, promoting the cross-fertilization of ideas and the development of new collaborations within the artificial intelligence community. All conference participants will have full access to IAISS 2026 activities, including IAISS 2026 keynote lectures delivered by leading experts, thereby enriching the overall scientific experience and providing additional opportunities for learning, discussion, and networking. IAISS 2026 Lecturers Stefano V. Albrecht, Nanyang Technological University, Singapore Mikhail Belkin, University of California San Diego, USA Giuseppe De Giacomo, University of Oxford, UK Christoph Feichtenhofer, Meta Superintelligence Labs, Menlo Park, CA, USA Jamie Hayes, Google DeepMind, UK Sumi Helal, University of Bologna, Italy Albert Q. Jiang, Mistral AI, Paris, France & University of Cambridge, UK Marine Le Morvan, INRIA Saclay, France Bruno Lepri, FBK, Italy George Paliouras, National Center for Scientific Research ?Demokritos?, Athens, Greece Panos Pardalos, University of Florida, USA More Lecturers TBA PAST KEYNOTE SPEAKERS: https://ais2026.icas.events/past-keynote-speakers/ AIS Leonardo Fibonacci BEST PAPER AWARD: https://ais2026.icas.events/best-paper-award/ PROGRAM COMMITTEE: https://ais2026.icas.events/program-committee/ VENUE: https://ais2026.icas.events/venue/ The venue of AIS 2026 will be Riva del Sole Resort & SPA @ Tuscany AIS 2026 is a Residential Conference, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. Riva del Sole Resort & SPA a: Localit? Riva del Sole - Castiglione della Pescaia (Grosseto, CAP 58043? Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events at rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://ais2026.icas.events/activities/ Submit your research work today! https://easychair.org/conferences/?conf=ais20260 See you in the beautiful Tuscany in September! Best regards, AIS 2026 Organizing Committee. https://ais2026.icas.events ais at icas.cc Past Editions: https://ais2026.icas.events/past-editions/ https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/19150026/ AIS 2026 Poster: https://ais2026.icas.events/wp-content/uploads/sites/37/2025/12/AIS-2026-poster.png Obviously, this is only a Call for Papers, to have complete and updated information we recommend you access the relevant website: https://ais2026.icas.events * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkoprinkova at yahoo.com Fri May 29 09:46:35 2026 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Fri, 29 May 2026 13:46:35 +0000 (UTC) Subject: Connectionists: CFP: INISTA 2026 References: <307129032.976102.1780062395354.ref@mail.yahoo.com> Message-ID: <307129032.976102.1780062395354@mail.yahoo.com> Dear Colleagues, You are cordially invited to The International Conference onINnovations in Intelligent SysTems and Applications (INISTA) 2026 hosted by theUniversity of Minhoin Guimar?es: a UNESCO World Heritage site and the birthplaceof Portugal: https://inista2026.di.uminho.pt/ INISTA has been organized since 2005. It brings together researchersfrom multidisciplinary fields of intelligent systems to establish effective communicationbetween them. INISTA covers all aspects of intelligent systems, from theory to practice. Apart from the main track, the conference includes workshops,tutorials, special sessions, and plenary talks by invited speakers. Accepted papers will appear in IEEEXplore and be indexed in theWeb of Science Core Collection databases. Authors of selected best papers will be invited to extend theirwork for publication in special journal issues. Important Dates: Regular paper submission deadline: 15 June 2026 Notification to authors: 10 July 2026 Camera-ready & copyright deadline: 25 July 2026 Authors registration deadline: 25 July 2026 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun May 31 15:33:33 2026 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 31 May 2026 22:33:33 +0300 Subject: Connectionists: World wide VVTNS series (6th season): June 3, 2026 | Emergent associative plasticity in neuronal networks with limited synaptic resources | Stefan Rotter, University of Freiburg 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 Stefan Rotter Bernstein Center Freiburg & Faculty of Biology, University of Freiburg, Germany on the topic of Emergent associative plasticity in neuronal networks with limited synaptic resources The lecture will be held on Zoom on June 3, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Structural plasticity and other forms of network remodeling are important and well-documented processes during brain development, maturation, learning, and aging. Remarkably high turnover rates in neural connectivity have been observed under baseline conditions, and these rates increase even more significantly in response to stimulation or perturbation. However, little is known about the underlying molecular mechanisms and biological function of this drastic form of brain plasticity. Since direct experiments on connectivity at the synaptic level are notoriously difficult to conduct and analyze, formal models are crucial for predicting and understanding the emergent properties of networks (or graphs) with highly dynamic structures. Building on our previous work on homeostatic structural plasticity, we have developed a new model of self-organizing networks based on the ?directed configuration model.? It exhibits Hebbian plasticity (?neurons that fire together wire together?) and engram formation without specific molecular mechanisms. I will also discuss possible connections with psychological phenomena such as classical conditioning, extinction, and blocking, and describe new machine learning strategies based on self-organizing networks that can be derived from our biologically motivated theory. *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... 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