From suashdeb at gmail.com Mon Jun 1 06:12:33 2026 From: suashdeb at gmail.com (Suash Deb) Date: Mon, 1 Jun 2026 15:42:33 +0530 Subject: Connectionists: Announcement of ISMSI 2027(Vietnam) Message-ID: Dear Esteemed colleagues, Greetings from India! Hope all are doing well. This is to present to you the website of 2027 11-th ISMSI, an annual event of IICCI. The same will be held in Ho Chi Minh City, Vietnam. https://www.ismsi.org/ Kindly share it with your peers and doctoral students and motivate them to submit manuscripts for the same. Hope to cross paths with many of you in Vietnam next year. With kind regards, Suash Deb General Chair, ISMSI 2027 -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Mon Jun 1 20:26:44 2026 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Tue, 2 Jun 2026 03:26:44 +0300 Subject: Connectionists: ICSC2026 CFP: The IEEE co-sponsored 6th Intelligent Cybersecurity Conference, 15 - 18 September 2026 | Abu Dhabi, UAE Message-ID: [Apologies if you got multiple copies of this invitation] The Sixth Intelligent Cybersecurity Conference (ICSC2026) https://icsc-conference.org/2026/ 15 - 18 September 2026 | Abu Dhabi, UAE Hybrid Event and Technically Co-Sponsored by IEEE UAE Section *ICSC 2026 CFP:* In today?s world, connected systems, social networks, and mobile communications create a massive flow of data, which is prone to cyberattacks. This needs fast and accurate detection of cyber-attacks. Intelligent systems and Data analytics are important components when issues pertaining to effective security solutions become the subject of discussion. This is because there is an impending need for high volume and high velocity data from different sources to detect anomalies as soon as they are discovered. This will help reduce significantly the vulnerability of the systems as well as improve their resilience to cyber Attacks. The capability to process large volumes of information at real time through utilization of tools for data analytics has many advantages vital for analysis of cybersecurity systems. Moreover, the data collected from sophisticated intelligent systems, cloud systems, networks, sensors, computers, intrusion detection systems could be used to identify vital information. This information could be used to detect how vulnerable the systems are to risk factors, and so effective cyber security solutions can be developed. In addition to that, the utilization of data analytics tools in the cybersecurity field gives new insights through considering factors such as zero-day attack detection, real time analysis, resource constrained data processing among others. The Intelligent Cybersecurity Conference (ICSC) addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to: - Intelligent systems for effective detection of cyber-attacks - Advanced Intelligent systems and data analytics for Cloud/Edge systems security - Malware detection using intelligent systems Vulnerability assessment - Intelligent systems for intrusion detection in Internet of Things (IoT) systems - Network forensics using intelligent systems and data analytics - Data Analytics for privacy-by-design in smart health - Datasets, benchmarks, and open-source packages - Recourse efficient deep learning - Adversarial Machine learning and Backdoor Attacks - Blockchain Systems for Cyber Security - Trustworthy AI Systems - Intelligent Systems for Misinformation Detection *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 ICSC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. *Important Dates:* - Paper Submission: *June 15, 2026* - Notification to Authors: July 15, 2026 - Camera Ready Submission: July 30, 2026 *Contact:* Please send any inquiry on ICSC to : info at icsc-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.kollias at qmul.ac.uk Mon Jun 1 20:59:37 2026 From: d.kollias at qmul.ac.uk (Dimitrios Kollias) Date: Tue, 2 Jun 2026 00:59:37 +0000 Subject: Connectionists: (CfP) ECCV 2026: 11th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) In-Reply-To: References: Message-ID: Dear Colleagues, Please find below the invitation to contribute to the 11th Workshop and Competition on Affective & Behavior Analysis in-the-wild (ABAW) to be held in conjunction with European Conference on Computer Vision (ECCV), 2026. (1): The Competition is split into the below two Challenges: * Multi-Task Learning Challenge * Ambivalence/Hesitancy (AH) Video Recognition Challenge The first Challenge is based on a static version of the Aff-Wild2 database; the second is based on the BAH dataset. More details can be found here. All accepted papers from the Competition will be part of the ECCV 2026 proceedings. Important Dates: Team registration begins: 25 May, 2026 Final submission deadline: 16 July, 2026 Winners Announcement: 18 July, 2026 Paper Submission Deadline: 20 July, 2026 Review decisions sent to authors; Notification of acceptance: 10 August, 2026 Camera ready version 15 August, 2026 (2): The Workshop is a premier platform highlighting the latest advancements in multimodal analysis, generation, modeling, and understanding of human affect and behavior in real-world, unconstrained environments. Original high-quality contributions, in terms of databases, surveys, studies, foundation models, techniques and methodologies (either uni-modal or multi-modal; uni-task or multi-task ones) are solicited on -but are not limited to- the following topics: i) facial expression (basic, compound or other) or micro-expression analysis ii) facial action unit detection iii) valence-arousal estimation iv) physiological-based (e.g.,EEG, EDA) affect analysis v) face recognition, detection or tracking vi) body recognition, detection or tracking vii) gesture recognition or detection viii) pose estimation or tracking ix) activity recognition or tracking x) lip reading and voice understanding xi) face and body characterization (e.g., behavioral understanding) xii) characteristic analysis (e.g., gait, age, gender, ethnicity recognition) xiii) group understanding via social cues (e.g., kinship, non-blood relationships, personality) xiv) video, action and event understanding xv) digital human modeling xvi) characteristic analysis (e.g., gait, age, gender, ethnicity recognition) xvii) behaviour-aware, affective and social robotics xviii) human-robot interaction, collaboration and communication xix) robot perception of human affect, behaviour, intention, attention and social signals xx) embodied AI agents, assistive robots and socially interactive robots xxi) violence detection xxii) autonomous driving xxiii) domain adaptation, domain generalisation, few- or zero-shot learning for the above cases xxiv) fairness, explainability, interpretability, trustworthiness, privacy-awareness, bias mitigation and/or subgroup distribution shift analysis for the above cases xxv) editing, manipulation, image-to-image translation, style mixing, interpolation, inversion and semantic diffusion for all afore mentioned cases Accepted workshop papers will appear at ECCV 2026 proceedings. Important Dates: Paper Submission Deadline: 20 July, 2026 Review decisions sent to authors; Notification of acceptance: 10 August, 2026 Camera ready version 15 August, 2026 General Chair: Dimitrios Kollias (Queen Mary University of London, UK) Program Chairs: Stefanos Zafeiriou (Imperial College London, UK) Irene Kotsia (Cogitat Ltd, UK) Eric Granger (?cole de technologie sup?rieure, Canada) Marco Pedersoli (?cole de technologie sup?rieure, Canada) Simon Bacon (Concordia University, Canada) Oya Celiktutan (King?s College London, UK) In case of any queries, please contact d.kollias at qmul.ac.uk Kind Regards, Dimitrios Kollias, on behalf of the organising committee ======================================================================== Dr Dimitrios Kollias, PhD, FHEA, M-IEEE, M-BMVA, M-AAAI, M-ACM, M-TCPAMI, AM-IAPR Associate Professor in Multimodal AI, School of EECS, Queen Mary University of London Program Director, MSc in Machine Learning for Visual Data Analytics Affiliations: Centres: Multimodal AI | Fundamentals of AI & Computational Theory | Human Centred Computing | Predictive in vitro Models | Advanced Robotics Groups: Multimedia & Vision | Computer Vision Institutes: Digital Environment Research Institute | Early Life Research Institute ITP registry Steering Committee Member SPRITE+ Expert Fellow ======================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandro.lopopolo at gmail.com Tue Jun 2 07:20:44 2026 From: alessandro.lopopolo at gmail.com (Alessandro Lopopolo) Date: Tue, 2 Jun 2026 13:20:44 +0200 Subject: Connectionists: PhD position in LaSTing project "Interpretable Surprisal: Language Models Between Linguistic Structure and Neural Evidence" at the University of Potsdam (DE) Message-ID: The University of Potsdam, Faculty of Human Sciences, Department of Psychology, Cognitive Sciences, invites applications for the following position at the Cognitive Neurosciences Lab (led by Milena Rabovsky) limited to 3 years, to be filled as soon as possible: PhD student position (f/m/d) ID no. 322/2026 The goal of the project is to investigate the relationship between language model?derived surprisal measures and human language processing, combining EEG data, reading time measures, and linguistic analyses of semantics and syntax. The position is funded as part of the project ?Interpretable Surprisal: Language Models Between Linguistic Structure and Neural Evidence? (PIs Alessandro Lopopolo and Milena Rabovsky), within the DFG Priority Programme SPP 2556 ?Robust Assessment & Safe Applicability of Language Modeling: Foundations for a New Field of Language Science & Technology? (LaSTing, https://www.lasting-spp.org/). The salary and benefits are determined by the collective bargaining agreement for public employees in Germany (TV-L 13 Ost; 75%). This is a temporary position initially limited to a term of 36 months. The University of Potsdam hosts leading groups in cognitive sciences and linguistics, providing a vibrant interdisciplinary scientific environment (http://www.uni-potsdam.de/en/cognitive-sciences/index.html). Potsdam is an attractive historical city, and its palaces are a UNESCO World Heritage Site. Furthermore, Potsdam is at close commuting distance to Berlin, a culturally vibrant and progressive city. Project and responsibilities The aim of this project is to investigate the cognitive plausibility of language model?derived surprisal as a measure of human language processing. In particular, it examines how surprisal relates to linguistic structure (syntax and semantics) and to human behavioral and neural data (e.g., EEG). A central goal is to determine to what extent the relationship between surprisal and human responses is mediated or modulated by underlying linguistic information. The successful candidate will develop and evaluate computational language models, derive surprisal-based measures, and conduct EEG and behavioral experiments on human language processing. Responsibilities include analyzing neural and linguistic data, working with large-scale computational infrastructure, collaborating within the research network, and publishing and presenting results internationally. Your Qualifications: Very good Master?s degree in a relevant field (e.g., Cognitive Science, Cognitive Neuroscience, Computational Linguistics, or related disciplines) Strong programming skills (e.g., Python, MATLAB, R), including familiarity with machine learning frameworks (e.g., PyTorch) Experience with and interest in neuroscientific methods (preferably EEG) Excellent skills in advanced statistical analyses Excellent writing, communication, and presentation skills in English Strong interest in the lab?s research focus, including cognitive neuroscience, language processing, prediction, and event-related brain potentials (ERPs) High motivation and commitment We are also looking for the following competences: Experience in training and evaluating language models Familiarity with NLP tools and libraries (e.g., tokenizers, parsers such as spaCy, Stanza, or similar) Familiarity with linguistic theory (e.g., syntax, semantics, or formal linguistic frameworks) Familiarity with working on servers and high-performance computing (HPC) environments Experience in research on language processing, prediction, or related cognitive processes What We Offer: As a university, we combine the strong potential for development of a teaching and research institution with the attractive working conditions of the public sector. The University of Potsdam is a reliable employer that supports its employees with a variety of offers and benefits: Make the most of the various continuing education and networking opportunities offered by the University of Potsdam to refine your subject-specific and interdisciplinary competencies for professional as well as personal growth. All campuses have good transport connections. You can receive a monthly subsidy for the public transport job ticket and use our campus bicycles. Benefit from a company pension scheme, a special annual payment, and capital-forming benefits. Take advantage of the various offers from our Occupational Health Management unit as well as the Academic Sports Center. To improve employees? work-life balance, the University of Potsdam offers family-friendly flexible working hours and a defined share of remote working hours (e.g. work from home). You have 30 vacation days per year (with a 5-day week) and are also exempt from work on December 24 and 31. For further information about this position, please contact Dr. Alessandro Lopopolo by e-mail: lopopolo at uni-potsdam.de . The University of Potsdam strives to maintain gender balance among its staff. Severely disabled applicants shall receive preference in case of equal qualifications. We expressly invite applications from people with migration backgrounds. Please send your application (including ID nr. 322/2026, letter of motivation, CV, at least 1 name of a potential referee, copies of academic certificates) as a single pdf file to Alessandro Lopopolo at lopopolo at uni-potsdam.de until June 30, 2026 for full consideration (late applications may be considered until the position is filled). Best, Dr. Alessandro Lopopolo Postdoc researcher Cognitive Neuroscience Lab University of Potsdam Campus Golm, bldg. 14, room 4.36 alessandro.lopopolo at gmail.com lopopolo at uni-potsdam.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at manchester.ac.uk Tue Jun 2 14:47:49 2026 From: samuel.kaski at manchester.ac.uk (Samuel Kaski) Date: Tue, 2 Jun 2026 18:47:49 +0000 Subject: Connectionists: Several Postdoctoral researchers and 1-2 doctoral researcher positions in machine learning in Kaski Lab Message-ID: I am hiring: Several Postdoctoral researchers and 1-2 doctoral researcher positions in machine learning in Kaski Lab, ELLIS Institute Finland and Manchester Centre for AI Fundamentals, DL June 28, 2026 Topics: - Multimodal foundation models - Out-of-Distribution Generalization - Collaborative AI - Fundamental and Applied ML (propose specifics!) For more info, see the links at the top of https://kaski-lab.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Jun 2 09:15:22 2026 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 2 Jun 2026 16:15:22 +0300 Subject: Connectionists: REMINDER: 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... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From cis-ram2026 at outlook.com Tue Jun 2 10:30:11 2026 From: cis-ram2026 at outlook.com (CIS-RAM 2026) Date: Tue, 2 Jun 2026 14:30:11 +0000 Subject: Connectionists: [Meetings] Call for Competition Proposals: CIS-RAM 2026 Competition Track Message-ID: We are pleased to announce the inaugural Competition Track at the Conference on Intelligent Systems for Robotics and Manufacturing (CIS-RAM) 2026. Through this call, we invite proposals for competitions on topics relevant to the CIS-RAM community. We particularly encourage submissions that address clear scientific questions and have a positive societal impact, especially those leveraging embodied AI to support underserved communities. Proposals focusing on the evaluation of embodied AI models and agentic systems are also welcome. Beyond societal benefit, we seek competitions in areas where embodied AI can advance other scientific, technological, or business domains pertinent to CIS-RAM. Our goal is to attract a diverse, interdisciplinary audience to the CIS-RAM 2026 Competition Track. Each accepted competition will feature a dedicated in-person workshop during the conference, where participants and organizers can present and discuss results. All submissions must adhere to the CIS-RAM Code of Conduct and Code of Ethics. The Competition Track follows the CIS-RAM Main Track policies (including those on plagiarism, use of AI agents/models, and anti-collusion), except where specific Competition Track rules (e.g., page limits, review process) are stated. Proposal Submission Competition proposals must be submitted via CIS-RAM_competitions at outlook.com ? The main text is limited to eight (8) content pages, including all figures and tables. Additional pages for references and team biographies are allowed. Review and Selection Process A dedicated program committee of experts in embodied AI and challenge organization will review proposals. Evaluation criteria include: ?Scientific Relevance and Tasks:? Competitions should be driven by clear scientific questions. We will assess impact, originality, and relevance to CIS-RAM. Tasks with humanitarian/societal impact or focused on evaluating embodied AI/agentic systems are highly encouraged. For humanitarian projects, involvement of the relevant community is strongly advised, and "parachute science" is discouraged. Ethical considerations and potential risks must be addressed. ?Evaluation Protocol:? We will evaluate task feasibility, availability of baselines, soundness of evaluation criteria, and clarity/fairness of rules. The evaluation should align with real-world performance and the core scientific question. Proposals should outline measures (e.g., standardized environments) to ensure fairness, especially for less-resourced teams. ?Data:? For data-driven competitions, proposals must describe the dataset(s) in detail?including quality, size, representativeness, and suitability for training/testing. Potential data leakage must be addressed. Data must be freely available; open data is encouraged. ?Logistics:? The competition schedule, plans for attracting participants (including groups underrepresented at CIS-RAM), and the organizers' experience and diversity will be considered. The review process is single-blind; submissions should include organizer names and affiliations. Proceedings Accepted competitions in 2026 have the following option for publishing post-competition analyses: ?Submission to a dedicated CIS-RAM proceedings Important Data * Competition Proposal Submission Deadline:? June 15, 2026 * Acceptance Notification:? June 22, 2026 * CIS-RAM 2026 Conference (Competition Track):? August 5-8, 2026 Additional Information ?Organizers should propose a detailed timeline, allowing participants sufficient time to develop high-quality entries. It is recommended to launch competitions by June 2026 and conclude by the end of July 2026 at the latest. ?Organizers are expected to provide brief, regular updates to the Competition Chairs. ?For assistance or suggestions regarding competition platforms, please contact the Competition Chairs. Competition Chairs Dongyan Huang, Tsinghua University, CN Jinwu Gao, Jilin University, CN Shan Luo, King's College London, UK Jing Xiong, Shenzhen Institute of Advanced Technology, CAS?CN -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: IEEE CIS-RAM CFC template.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 53851 bytes Desc: IEEE CIS-RAM CFC template.docx URL: From hans.ekkehard.plesser at nmbu.no Tue Jun 2 12:36:18 2026 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 2 Jun 2026 16:36:18 +0000 Subject: Connectionists: =?utf-8?q?NEST_Conference_2026_on_16/17_June_?= =?utf-8?q?=E2=80=94_Program_overview_=E2=80=94_Register_now!?= Message-ID: Dear Colleagues! We are very much looking forward to the NEST Conference 2026 which will take place in two weeks time on ??????Tuesday / Wednesday 16/17 June 2026. We are excited to share with you an overview over the program we have assembled with three keynotes, three tutorials, one dozen talks and eleven posters. You will find presenters and contributions below. Please register at https://nest-simulator.org/conference at your earliest convenience! If you want to use the member rate (20?; normal rate 50?), you must apply for NEST Initiative e.V. membership and pay your dues by Sunday 7 June. Students, including PhD students, do not need to pay membership dues, for all others it is 25? for 2026. Please go to https://www.easyverein.com/public/NESTINI/applicationform/13809 to apply. Absolutely last deadline for registration is Sunday 14 June at 23.59 CEST (UTC+2). See you at the NEST Conference 2026! Hans Ekkehard Plesser on behalf of the organizing committee Keynote Agnes Korcsak-Gorzo Biologically plausible supervised learning in large-scale networks Fynn Dobler, Maxime Carrire Lost in translation: How porting a brain-constrained model of word semantics to NEST revealed undocumented model assumptions Pablo Martinez-Canada From Circuits to Signals and Back: Integrating Biophysical Forward Modelling and Simulation-Based Inference to Decode Brain Dynamics Tutorial Agnes Korcsak-Gorzo Biologically plausible supervised learning with event-driven eligibility propagation Charl Linssen, Pooja Babu Modeling and simulating neuron models from NESTML on neuromorphic hardware Willem Wybo Creating, analyzing, simplifying, and simulating biophysical neurons with NEAT Talks Carlos Enrique Gutierrez Neuro-Workflow: Agent-Assisted Brain Modeling Catherine Schofmann Scaling Neural Networks On Accelerators With Procedural Connectivity Generation Gianmarco Tiddia Scalable network construction method for NEST GPU enables efficient multi-GPU simulations Jan Eirik Skaar, Hans Ekkehard Plesser Practice report: Porting a complex network model from BRIAN2 to NEST Jan Vogelsang, Susanne Kunkel Rethinking Synapse Placement in NEST for Cache-Efficiency on Many-Core Exascale Architectures Mahesh Madhav, Hans Ekkehard Plesser Issue #3217: Making NEST a part of the SPEC CPU 2026 benchmark suite Melissa Lober NUMA balancing hampering performance of spiking network simulations Pedro Ribeiro Pinheiro Simulating prefrontal cortex dynamics in a data-driven spiking neural network Rafael Fernando Gigante A Large-Scale Spiking Network Model of the Primary Motor Cortex Razvan Gamanut Subthreshold Dynamics in a Gap-Junction-Coupled PV Network Model of the Claustrum Sinovia Fotiadou Bridging NEST Microcircuits to Zerlaut Mean-Field Models: A Reproducible Single-Region Workflow for the Virtual Brain Twin Tibor Rozsa Toward reliable visual prosthetic stimulation under highly variable spontaneous activity Poster Alex Dimitrov et al Statistics of spiking neural networks based on counting processes Ariel Shmilli et al Long-term memory consolidation in spiking neural networks Camilo Jara Do Nascimento et al Dendritic plateau potentials enable learning over long timescales Charl Linssen et al Automated code generation of advanced plasticity rules for the SpiNNaker neuromorphic platform using NESTML Daniel Todt Parameter specification in spiking neural networks using NEST and simulation-based inference Jos? Villamar et al Scaling up to billions of spiking neurons and trillions of synapses with NEST GPU Krishna Kant Singh Empowering Neuroscience Research with Portable HPC Containers Marie Olli Structural plasticity in large-scale spiking neural networks Markus Diesmann On polynomials in spiking neuronal network simulations Noah Ostendorf Motiforge: Flexible Motif-Constrained Network Generation for Structured Neural Architectures Pooja Babu Modeling and simulating two-compartment neuron model with NESTML on NEST GPU -- Prof. Dr. Hans Ekkehard Plesser Research Committee Chair, Faculty of Science and Technology Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser -------------- next part -------------- An HTML attachment was scrubbed... URL: From torcini at gmail.com Wed Jun 3 10:42:49 2026 From: torcini at gmail.com (A. Torcini) Date: Wed, 3 Jun 2026 16:42:49 +0200 Subject: Connectionists: XIV GEFENOL-DIFENSC Summer Course on Statistical Physics of Complex Systems Message-ID: XIV GEFENOL-DIFENSC Summer School on Statistical Physics of Complex Systems Alcal? de Henares (Madrid), July 6-17, 2026 Universidad de Alcal? (Madrid) school2026.difensc.es/ DEADLINE FOR APPLICATION extended: June 8, 2026 Statistical Physics, which was born as an attempt to explain thermodynamic properties of systems from their atomic and molecular components, has evolved into a solid body of knowledge that allows for the understanding of macroscopic collective phenomena. The tools developed by Statistical Physics, together with the Theory of Dynamical Systems, are of key importance in the understanding of Complex Systems, which are characterized by the emergent and collective phenomena of many interacting units. While the basic body of knowledge of Statistical Physics and Dynamical Systems is well described in textbooks at the undergraduate or master level, the applications to open problems in the context of Complex Systems are well beyond the scope of those textbooks. Aiming at bridging this gap, the Topical Group of the Division of Statistical, Nonlinear, and Complex Systems Physics (DIFENSC) of the Royal Spanish Physical Society is promoting the Summer School on Statistical Physics of Complex Systems series, open to final year undergraduate students, postgraduates, Ph.D. students, and young postdocs worldwide. First Week, July 6-10: -Noise and Space in Biological Systems: From Stochastic Simulations to Multiscale Hybrid Methods by Prof. Pilar Guerrero, University Carlos III Madrid (UC3M), Spain -Stochastic thermodynamics of heat and information engines by Prof. ?dgar Rold?n and Rafna Rafeek, International Centre for Theoretical Physics (ICTP), Italy -Hard particle models in 2D: From soft matter to granular media by Profs. Enrique Velasco, University Aut?noma Madrid (UAM), and Yuri Mart?nez, University Carlos III Madrid (UC3M), Spain Second Week, July 13-17: -Theory of diffusiophoretic self-propulsion by Prof. ?lvaro Dom?nguez, University of Sevilla (US), Spain -From Active Matter Physics to Mechanobiology by Prof. Yulia Yeomans, University of Oxford, England -Next-generation neural mass models by Prof. Simona Olmi, Istituto dei Sistemi Complessi, Consiglio Nazionale delle Ricerche (ISC-CNR), Italy Courses will be taught in English. Participants are welcomed and encouraged to present their research in a flash talk. Registration fees: -250 euros for 2 weeks -130 euros for 1 selected week The registration fees include lunches and coffee breaks on working days. Lodging expenses are not included. From cis-ram2026 at outlook.com Wed Jun 3 11:18:49 2026 From: cis-ram2026 at outlook.com (CIS-RAM 2026) Date: Wed, 3 Jun 2026 15:18:49 +0000 Subject: Connectionists: =?utf-8?q?_=5BMeetings=5D_Call_for_Competition?= =?utf-8?q?=EF=BD=9CCIS-RAM_2026_Embodied_AI_Grand_Challenge_-_World_Model?= =?utf-8?q?_for_Embodied_Intelligence_=28EAGC_=E2=80=93WM4EI_2026=29?= Message-ID: [cid:43a16852-6099-41a2-b6a7-409c99935ad4] 1. Introduction EAGC 2026 is an international competition focused on evaluating the capabilities of world models for embodied AI. Unlike many traditional benchmarks, its core goal is to advance the evaluation of world models from "whether they can generate plausible futures" to "whether they can support reliable actions," assessing a model's ability to understand and act within continuous interaction and real-world tasks. 1. Core Philosophy and Objectives According to the official information, EAGC 2026 aims to evaluate world model capabilities for embodied intelligence in standardized simulated environments. Its focus goes beyond perception-centric benchmarks, emphasizing executable environment understanding, closed-loop decision-making, exception recovery, and rapid task adaptation. Key Question: Can the participating systems construct executable environment or task representations from continuous observations and then use those representations for planning, execution, replanning, and recovery? Evaluation Focus: It is not only about the final task success rate. More importantly, it evaluates whether a system can construct and maintain a structured internal model, update it, expose it (through verifiable files), and use it when unexpected changes occur. 1. Challenge Tracks in Detail The competition features two complementary tracks evaluating the core capabilities of world models in environment modeling? and task transfer. A?Track 1: Unseen Environment Exploration and Closed-Loop Task Execution (UEE-CLTE) Objective: To evaluate a system's ability for autonomous exploration, world model construction, task planning, and exception recovery in partially unseen simulated indoor environments. The system must discover spatial topology, recognize key objects, model interactive states and affordances, generate task plans, and replan after encountering a controlled exception. Key Rules: This is a 90-minute closed-loop challenge. Each official hidden episode is evaluated as a single continuous, closed-loop run. Unrestricted resets, repeated trial-and-error exploration, or manual intervention are not allowed. At most one controlled exception will be triggered per test, preserving at least one recoverable solution path. B?Track 2: One-Shot Demonstration-Driven Rapid Adaptation (OSD-DRA) Objective: To evaluate a system's ability to rapidly form a task model from a single standardized expert demonstration. The system must infer task variables, constraints, action preconditions, object-relation changes, and success criteria, then generalize to hidden, novel task instances under a limited attempt budget. Key Rules: The system receives only one chance to observe the expert demonstration before attempting a new instance. A maximum of three official attempts are allowed per instance. The evaluation emphasizes whether the system extracts the key task structure rather than merely reproducing the observed trajectory. 1. Registration and Participation According to the provided registration links: https://www.cis-ram.org//2026//EAGC_2026_Website_Upload.html Registration Requirement: All participating teams must complete registration before submitting results. Teams may select Track 1, Track 2, or both tracks. Each team must designate one team leader as the primary contact. Registration Links: Track 1 Registration: https://www.CIS-RAM.org//2026//EAGC/WMC4E_UEE-CLTE/registration Track 2 Registration: https://www.CIS-RAM.org//2026//EAGC/WMC4E_OSD-DRA/registration Eligibility: The challenge is open to university teams, industry research teams, independent researchers, and student teams worldwide. Important Note: Registration does not replace the final submission. Teams must still submit executable containers, model files, logs, and technical reports according to the official submission instructions. Important Information and Resources Baseline Code References: Track 1 Baseline https://github.com/google-research/pathdreamer Track 2 Baseline https://github.com/raktimgg/osvi-wm Official Evaluation Rules: * All official evaluations will be conducted within the official runtime stack. * Internet access, online model APIs, access to hidden ground truth, manual remote control, and large-scale retraining are not allowed? during the evaluation. * Lightweight online adaptation within the official time and compute budget is allowed. Important Dates: May 8, 2026:? Competition registration opens May 19, 2026:? Dataset and code released May 30 ? June 5, 2026:? Results submission window open June 5, 2026:? Baseline paper (deadline or publication) June 6 ? June 9, 2026:? Results testing window June 15, 2026:? Competition registration closes June 16, 2026:? Environment v1.0 finalized/frozen June 17 ? June 26, 2026:? Qualification round submission June 27 ? July 3, 2026:? Hidden validation testing July 5, 2026:? Finalist teams announced July 8 ? July 15, 2026:? Final version submission (locked/frozen submission) July 16 ? July 24, 2026:? Official final testing July 25 ? July 28, 2026:? Log auditing, re-running, and reproducibility checks July 29, 2026:? Final rankings released to teams Early August 2026:? Results announced and on-site finalist presentations/defense Awards According to the official website, EAGC 2026 aims to recognize overall performance, track-specific excellence, reproducibility, and research contribution. Awards include: Main Awards: Grand Champion Track 1 : First prize; Second prize; Third prize Track 2 : First prize; Second prize; Third prize Special Awards ?Best World Model Design Award ?Best Open-Source Contribution Award ?Best Technical Report Award ?Best Academic Innovation Award 7. Related Resources and Links ?Competition Official Website: https://www.cis-ram.org//2026//EAGC_2026_Website_Upload.html ?Official Email: CIS-RAM2026_EAGC at outlook.com Track 1 Resource List ?ProcTHOR / ProcTHOR-10K: Primary public training environments and procedural generation reference benchmark. ?Habitat Challenge / ReplicaCAD: Reference benchmark for mobile manipulation and hidden-test protocols. ?ALFRED: Reference for language-instructed task templates and long-horizon task structures. ?BEHAVIOR-1K: Reference benchmark for challenging, long-horizon household interaction tasks. ?Recommended Combination: ProcTHOR + Habitat Challenge + ALFRED Track 2 Resource List ?RLBench: Primary public training dataset and benchmark platform. ?MimicGen: Demonstration data augmentation and task variant generation tool. ?LIBERO: Benchmark for cross-object, cross-goal, and cross-layout transfer learning. ?ManiSkill2 & RoboCasa: Extended resources for object variation and potential future challenge versions. ?Recommended Combination: RLBench + MimicGen + LIBERO 8. Summary Through these two tracks, the EAIGC26-WMC4EI challenge aims to evaluate whether world models can truly become the internal mechanism for an embodied agent to understand the world, rather than merely remaining at the surface level of "appearing to understand the world." Therefore, this challenge seeks to advance the evaluation of world models from "whether they can generate plausible futures" to "whether they can generate reliable actions." By placing models within the context of continuous interaction, task feedback, and generalization testing, the challenge will provide the field of embodied AI with a more application-oriented benchmark for world models. This ensures that world models are no longer evaluated solely as representation or generation modules, but undergo systematic testing within the process of completing real-world tasks. Competition organizers: Dongyan Huang, Tsinghua Univ., CN Yixing Gao Jilin University, CN Xutao Sun Jilin University, CN Hongxia Xie Jilin University, CN Jifeng Hu Jilin University, CN Yan Wu A*STAR, SG -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 200635 bytes Desc: image.png URL: From roderich.gross at tu-darmstadt.de Thu Jun 4 03:00:23 2026 From: roderich.gross at tu-darmstadt.de (=?utf-8?B?R3Jvw58sIFJvZGVyaWNo?=) Date: Thu, 4 Jun 2026 07:00:23 +0000 Subject: Connectionists: ANTS 2026 - Final call for participation Message-ID: ? ANTS Final Call for Participation The full ANTS 2026 Conference Guidebook is now available, bringing together the complete conference programme, including Late Breaking Results and Fresh Perspectives. This year?s programme features: ? 6 invited talks ? 65 further talks, including 10 lightning talks ? more than 100 posters overall ? robot demos The guidebook offers a full overview of the conference across talks, posters, demos, and the wider programme. We are also pleased to share the ANTS 2026 conference trailer, offering a glimpse of the event and what to expect in Darmstadt this June. ? Conference Guidebook: https://ants2026.org/pdf/ANTS2026_Guidebook-Digital.pdf ? Conference trailer: https://www.youtube.com/watch?v=8DN_9Nsmp8Q ? Darmstadt, Germany ?? 8?10 June 2026 ? Theme: Reaching beyond ? swarm intelligence across systems, disciplines, and communities ? More information and registration: https://ants2026.org Follow us on Bluesky and LinkedIn Hosted by Technical University of Darmstadt Co-sponsored by Robotics Institute Germany Organising Committee General Chair Roderich Gross, Technical University of Darmstadt, Germany Honorary Chair Marco Dorigo, Universit? libre de Bruxelles, Belgium Technical Program Chairs Aaron T. Becker, University of Houston, USA Gianni Di Caro, Carnegie Mellon University, Qatar Bahar Haghighat, University of Groningen, The Netherlands M. Ani Hsieh, University of Pennsylvania, USA Late-Breaking Results Chairs Anna Dornhaus, University of Arizona, USA Mary Katherine Heinrich, Universit? libre de Bruxelles, Belgium Conference Theme and Publicity Chair Razanne Abu-Aisheh, University of Bristol, UK Finance Chair Grace McFassel, Technical University of Darmstadt, Germany Publication Chair Mohamed S. Talamali, The University of Sheffield, UK Paper Submission Chair Julian Rau, Technical University of Darmstadt, Germany Local Organisation Committee Usama Ali, Technical University of Darmstadt, Germany Uta Drews, Technical University of Darmstadt, Germany Ecem Isildar, Technical University of Darmstadt, Germany Suet Lee, Technical University of Darmstadt, Germany Jenny von Trzebiatowski, Technical University of Darmstadt, Germany Steering Committee Marco Dorigo, Universit? libre de Bruxelles, Belgium Andries Engelbrecht, Stellenbosch University, South Africa Heiko Hamann, University of Konstanz, Germany Alcherio Martinoli, ?cole Polytechnique F?d?rale de Lausanne, Switzerland Radhika Nagpal, Princeton University, USA Thomas St?tzle, Universit? libre de Bruxelles, Belgium Guy Theraulaz, CNRS CRCA, France -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1698 bytes Desc: not available URL: From sarathcse2008 at gmail.com Wed Jun 3 22:47:52 2026 From: sarathcse2008 at gmail.com (Sarath Chandar) Date: Wed, 3 Jun 2026 22:47:52 -0400 Subject: Connectionists: [CoLLAs Seminar][June-10 10am CET] Rahaf Aljundi on "Continuous Accumulation of Knowledge and Experience" Message-ID: Dear all, We are excited to bring you the second speaker of the monthly CoLLAs Seminar Series, which has an excellent line-up of speakers from around the world: https://lifelong-ml.cc/seminar With this series, we aim to bring together researchers working on continual, lifelong, and adaptive machine learning to share new ideas, and foster community-wide dialogue! Our second talk will be by *Rahaf Aljundi* on *June 10 at 10:00 AM CET*. *Title*: Towards Continuous Accumulation of Knowledge and Experience *Abstract*: Continual learning enables models to adapt to streaming data, targeting knowledge accumulation, and avoiding catastrophic forgetting. Continual learning research has focused on continual parameter updates; however, forgetting and learning instability always seem unavoidable, rendering continual learning a far?fetched problem. On the other hand, in?context learning offers a complementary path to frequent parameter updates. In this talk, I argue that efficient, continuous adaptation needs not occur solely in parameter space. I will show how memory?based mechanisms enable rapid adaptation and present some of my previous and recent continual learning works, then discuss how combining fast, memory?driven updates with slow model consolidation could shape the future of continual learning. *Speaker bio*: Rahaf Aljundi is a research scientist at Toyota Motor Europe. She is interested in building models that can keep learning (given any source of supervision), can tell when a novel input is provided and further point at instances that require annotation. This includes the topics of continual learning (incremental learning, lifelong learning), novelty detection (out of distribution, anomaly detection), active learning and also domain adaptation. She has obtained her PhD degree from KU Leuven university (Belgium) where she extensively worked on the topic of continual learning. *Zoom*: https://polymtl-ca.zoom.us/j/84066718835?pwd=2cpVMN2XjRXyZrngOFBJSO3Fwifywo.1 We look forward to seeing you there! Best regards, Sarath Chandar On behalf of the CoLLAs Seminar Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/calendar Size: 2438 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: collas_seminar_june_10.ics Type: text/calendar Size: 2452 bytes Desc: not available URL: From sahar.moghimi at u-picardie.fr Thu Jun 4 08:04:14 2026 From: sahar.moghimi at u-picardie.fr (Sahar Moghimi) Date: Thu, 4 Jun 2026 14:04:14 +0200 Subject: Connectionists: =?utf-8?q?Postdoctoral_Position_=E2=80=93_EEG=2C_?= =?utf-8?q?AI_=26_Neonatal_Brain_Development?= Message-ID: <8efdcf04-60e3-41c8-88be-37c86f76a966@u-picardie.fr> Dear list members, Please kindly share the following announce for a postdoctoral position with potentially interested candidates. Thanks very much for your help. Kind wishes, Sahar -- Sahar Moghimi PhD, HDR Professor GRAMFC Lab, InsermU1105 Universit? de Picardie Jules Verne mail: saharDOTmoghimiAROBASEu-picardie.fr 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 From franca.roccoditorrepadula at unina.it Thu Jun 4 08:19:34 2026 From: franca.roccoditorrepadula at unina.it (FRANCA ROCCO DI TORREPADULA) Date: Thu, 4 Jun 2026 12:19:34 +0000 Subject: Connectionists: CFP: WAFL 2026 @ ECML-PKDD - Deadline Extended Message-ID: _______________________________________________________________________________________ WAFL 2026 ? Deadline Extended 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 pleased to announce that the submission deadline for the 4th Workshop on Advancements in Federated Learning (WAFL 2026) has been extended to June 12th, 2026. We warmly invite you to submit your work and kindly encourage you to share this call with colleagues and interested researchers. IMPORTANT DATES ? Submission deadline: June 12th, 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 ozgur.simsek at gmail.com Thu Jun 4 05:08:11 2026 From: ozgur.simsek at gmail.com (=?utf-8?B?w5Z6Z8O8ciDFnmltxZ9law==?=) Date: Thu, 4 Jun 2026 11:08:11 +0200 Subject: Connectionists: =?utf-8?q?Bath_Summer_School_in_Machine_Learning?= =?utf-8?q?=2C_5=E2=80=937_August_2026?= Message-ID: <52491BEA-0A2A-4304-9C3B-1674EC8D3826@gmail.com> Dear colleagues, We are pleased to announce the 1st Bath Summer School in Machine Learning , hosted by the Centre for Artificial Intelligence at the University of Bath. The school offers three days of tutorial-style lectures spanning core and emerging topics in machine learning, designed to help graduate students rapidly build knowledge outside their direct research focus ? in a friendly, inclusive environment. Dates: 5?7 August 2026 Location: University of Bath This year's themes: ODEs & SDEs in Machine Learning Probabilistic & Bayesian Methods Self-Supervised Learning World Models A full programme can be found here . Faculty Simon Prince, University of Bath Neill Campbell, University College London Ivor Simpson, University of Sussex Oisin Mac Aodha, University of Edinburgh Deblina Bhattacharjee, University of Bath Gabriel Brostow, University College London (Invited Talk) Who can apply The school is open to PhD students, postdocs, and research staff at any UK or EU university. A solid foundational knowledge of machine learning is assumed. Participants must be available for the full three-day programme. Fees The school has been deliberately priced to be as accessible as possible. Registration only, ?150 Registration + 3 nights in University halls , ?320 (limited places) Tea and coffee are included throughout. Other meals at your own expense. Additional accommodation options are available in Bath and nearby Bristol. Register now Full programme details and speaker information: https://www.bathmlsummerschool.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From cristina.palmero at kcl.ac.uk Thu Jun 4 09:57:52 2026 From: cristina.palmero at kcl.ac.uk (Cristina Palmero Cantarino) Date: Thu, 4 Jun 2026 13:57:52 +0000 Subject: Connectionists: [Call for Participants] ChaLearn UDIVA-HHOI Challenge @ ECCV 2026 - Still Time to Participate! Message-ID: [Apologies for cross-posting] Dear colleagues, There is still plenty of time to participate in the ChaLearn UDIVA-HHOI Challenge @ ECCV 2026, organized within the CONTEXTUS Workshop at ECCV 2026. Submission deadline: July 12th, 2026 The challenge focuses on advancing research in context-aware human behavior understanding and socially grounded multimodal intelligence, encouraging methods that go beyond isolated action recognition toward understanding how people collaborate, coordinate, anticipate, and influence one another in real-world environments. Participants will work with the newly released UDIVA-HHOI dataset, a rich multimodal corpus featuring: * non-scripted dyadic collaborative interactions, * synchronized audio, video, and transcripts, * one exocentric and two egocentric views, * contextual metadata and social interaction cues, * procedural task information, * annotations of verbal and non-verbal human-human-object interaction events, * goals, intentions, and causal relationships. The challenge includes 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 The top-ranked team in each track will receive a $1,000 USD award, along with certificates and the opportunity to present and publish their work at the ECCV 2026 CONTEXTUS Workshop. Data, starting kit, track descriptions, and metrics are already available, and baseline models will be released soon. We strongly encourage participation from researchers and students working on: * multimodal learning, * video understanding, * egocentric vision, * embodied AI, * social signal processing, * event anticipation, * causal reasoning, * human behavior understanding. We look forward to seeing new advances toward AI systems capable of understanding human interactions, intentions, and collaborative behavior in complex real-world scenarios. Challenge website: https://lap.chalearn.eu/public/udiva-hhoi-challenge-eccv26 Workshop website: https://lap.chalearn.eu/public/ECCV26-CONTEXTUS 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 (Istituto Italiano di Tecnologia) Hugo Jair Escalante (The University of Texas at El Paso & INAOE) Vittorio Murino (Istituto 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 gualtiero.volpe at unige.it Thu Jun 4 17:31:11 2026 From: gualtiero.volpe at unige.it (Gualtiero Volpe) Date: Thu, 4 Jun 2026 23:31:11 +0200 (CEST) Subject: Connectionists: ACM ICMI 2026 Call for Late-Breaking Results (LBR) Message-ID: <282790114.16.1780608671655@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 ioannakoroni at csd.auth.gr Fri Jun 5 02:29:12 2026 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Fri, 5 Jun 2026 09:29:12 +0300 Subject: Connectionists: Call for Participation: AI Cutting-Edge Trends Summer Symposium and School (AIDA AICET 2026), 24-28 August 2026 In-Reply-To: <23eb85e0-c0cb-4062-96a8-edc1d6284fab@csd.auth.gr> References: <23eb85e0-c0cb-4062-96a8-edc1d6284fab@csd.auth.gr> Message-ID: <157b39d6-747c-4abc-9e4d-9c7226323cf3@csd.auth.gr> *Call for Participation* *AIDA AICET 2026 - AI Cutting-Edge Trends Summer Symposium and School* *24-28 August 2026 | Debrecen, Hungary | Hybrid Event* *Host institution: *University of Debrecen, Faculty of Informatics, Kassai Campus *Website: *https://aicet.inf.unideb.hu/ | *Registration: *Register now Invitation Dear AI, CS/CSE, ECE/EE student, PhD candidate, researcher, engineer, professional, and AI enthusiast, The International AI Doctoral Academy (AIDA) and the University of Debrecen are pleased to invite you to attend *AIDA AICET 2026 - AI Cutting-Edge Trends Summer Symposium and School*, a five-day hybrid event held in Debrecen, Hungary, from 24 to 28 August 2026. AICET 2026 brings together high-level scientific lectures, practice-oriented industrial training, professional soft-skill courses, certification opportunities, and selected IEEE CITDS 2026 activities. The event is designed to provide first-hand exposure to emerging AI/ML methods and practical skills for real-world deployment. It is a second edition of AIDA AICET summer schools, after the very successful 2025 edition. Why join AICET 2026? ?*Gain insight into cutting-edge AI trends* through plenary and invited talks by internationally recognized academic and industry experts. ?*Join hands-on NVIDIA workshops* on GPU-based AI workflows, multi-agent systems, multimodal AI agents, and generative AI with diffusion models. ?*Combine scientific learning with industrial certification* through optional on-site Certiport / Pearson VUE exams and soft-skill training. ?*Connect with the IEEE CITDS 2026 Conference* during Days 4-5 and benefit from discounted CITDS author registration options. ?*Take part in challenge and networking activities* including a Health-AI challenge, an Idea Hackathon / AI Demo Challenge, a welcome reception, and a social event. Program highlights ?Days 1-3: AICET core scientific and educational program with plenary talks, invited lectures, NVIDIA hands-on workshops, soft-skill workshops, and optional industrial exams. ?Days 4-5: AICET integrated with IEEE CITDS 2026, including conference sessions, challenges, hackathon activities, optional exams, and networking events. ?Hybrid-compatible format: on-site participation in Debrecen with selected online/remote access elements. ?Certificates of attendance are expected to be available upon request. Plenary speakers and topics *Speaker* *Affiliation* *Indicative topic* Ioannis Pitas Aristotle University of Thessaloniki and CERTH, Greece Decentralized DNN Architectures for Visual Data Analysis Marina Ivasic-Kos University of Rijeka Application of computer vision models in security and surveillance Mohamed Chetouani Sorbonne University, France When Robots Get It Wrong: Detecting Ambiguity and Failure Using Vision-Language Models Stefano Berretti University of Florence, Italy Animating 3D Human Face and Body Sarit Kraus Bar-Ilan University, Israel Smarter Together? Teams of AI and Humans Helen Karatza Aristotle University of Thessaloniki, Greece Resource Orchestration and Scheduling Across the Mist-Fog-Cloud Continuum: Trends and Future Directions P?ter Baranyi Corvinus University of Budapest, Hungary Neural mesh NVIDIA hands-on workshops ?Multi-Agent Systems and Agentic AI ?Building AI Agents with Multimodal Models ?Generative AI with Diffusion Models Note: NVIDIA workshops are practice-oriented full-day trainings. Lecture sessions scheduled in parallel may be recorded so that registered participants can rewatch them later, subject to final organizational arrangements. Soft-skill courses and optional industrial exams ?Using Generative AI at the Workplace ?Professional Communication with AI ?Digital Marketing ?Optional on-site industrial certification exams during the event at the University of Debrecen Certiport / Pearson VUE Authorized Testing Center. *Exam fee: *30 EUR per exam for physical on-site exams; maximum three exams. Exam availability and certification details are subject to final confirmation. Registration fees *Category* *Fee* *Includes* Full registration 240 EUR 5-day AICET + CITDS visitor access Higher Education member 200 EUR 5-day AICET + CITDS visitor access AIDA Student 180 EUR 5-day AICET + CITDS visitor access ?AICET registrants are eligible for a reduced IEEE CITDS full registration fee, including paper submission and presentation: 100 EUR. ?Remote participation is available at the same registration rates. ?Optional certification exams for physical participants: 30 EUR per exam, maximum three exams. Venue and format ?*Venue: *University of Debrecen, Faculty of Informatics, Kassai Campus, Debrecen, Hungary. ?*Format: *5-day on-site event with hybrid-compatible elements. ?*Dates: *Monday-Friday, 24-28 August 2026. ?*Website: *https://aicet.inf.unideb.hu/ Register now Further information on lectures, workshops, registration options, general conditions, and updates is available at: https://aicet.inf.unideb.hu/ We look forward to welcoming you to AIDA AICET 2026 in Debrecen! On behalf of the AIDA AICET 2026 Organizing Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From icaitemspisa at gmail.com Fri Jun 5 03:45:04 2026 From: icaitemspisa at gmail.com (ICAI-TEMS 2026) Date: Fri, 5 Jun 2026 09:45:04 +0200 Subject: Connectionists: =?utf-8?q?Deadline_Extension_=E2=80=93_IEEE_ICAI-?= =?utf-8?q?TEMS_2026_=7C_Abstract_Submission_Extended_to_June_14?= Message-ID: <634ffc12-9fb5-41f4-979b-96f67b56db73@gmail.com> Dear colleague, We are pleased to announce an important update regarding the 2nd IEEE International Conference on Application of Information Technologies in Engineering, Management and Science (ICAI-TEMS 2026). ? *Deadline Extension* To provide additional opportunities for researchers, academics, and industry professionals, the *Abstract Submission Deadline has been extended to June 14, 2026*. ICAI-TEMS 2026 welcomes original research contributions on concepts, theories, and applications of cutting-edge information technologies across engineering, management, and science, with a strong focus on bridging theoretical advances and real-world challenges. * 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 Optimization * Updated Important Dates ? *Abstract Submission (Extended): June 14, 2026* ? Full Paper Submission: August 1, 2026 ? Notification of Acceptance: September 1, 2026 ? Camera-Ready Submission: September 15, 2026 ? Conference Dates: November 10?13, 2026 * All 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 INFO Keynote 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 luca.virgili at staff.univpm.it Fri Jun 5 05:51:01 2026 From: luca.virgili at staff.univpm.it (LUCA VIRGILI) Date: Fri, 5 Jun 2026 09:51:01 +0000 Subject: Connectionists: [Workshop] Call for Papers - GLOW Workshop @ ISWC'26 Message-ID: ---------------------------------------- GLOW Workshop @ ISWC'26 - Call for Papers ---------------------------------------- 2nd Workshop on Graph-enhanced LLMs for trustwOrthy Web data management (GLOW) October 25-26, 2026, held as part of the International Semantic Web Conference (ISWC'26) https://glow-workshop.github.io/iswc2026/ ---------------------------------------- Workshop description The recent growth of Large Language Models (LLMs) has expanded possibilities in data management, enabling powerful natural language access, reasoning, and decision support. However, reliability and trustworthiness remain major challenges when deploying LLMs in sensitive domains. Graph-based representations of knowledge and data (e.g., knowledge graphs and property graphs) provide a promising avenue to address these challenges. LLMs generate fluent responses but often struggle with factuality, bias, hallucinations, and a lack of explainability. Graphs, on the other hand, provide structured, interconnected representations that can serve as grounding and validation layers for LLM-based systems. In this context, Semantic Web technologies offer standardized graph-based frameworks (e.g., RDF and ontologies) to formally model, link, and reason over knowledge. We invite submissions that address, but are not limited to, the following themes: * Detection and mitigation of hallucinations, bias, and misinformation in LLMs using graph-based techniques. * Property graphs as a foundation for profiling, reliability, and LLM-grounded reasoning. * Querying property graphs with natural language interfaces powered by LLMs. * LLMs as assistants for constructing and validating reliable knowledge graphs. * Agentic AI for structured reasoning and decision-making over graph-based knowledge. * Semantic Web standards for grounding and verifying LLM-generated outputs. * Ontology-based reasoning and neuro-symbolic approaches for trustworthy LLM-driven systems. * Integration of Knowledge Graphs for retrieval-augmented generation and fact-checking. * Applications of LLMs combined with Semantic Web technologies for reliable Web-scale data management, scientific knowledge representation, and enterprise knowledge graphs. * Evaluation benchmarks and metrics for reliability and trustworthiness in graph-enhanced LLMs. ---------------------------------------- Paper Submission Procedure We invite research, industry, application contributions, and software demonstration submissions. Regular papers presenting original work are solicited. Moreover, discussion papers containing descriptions of results already published are also welcomed. There are two submission formats: * Regular papers (up to 12 pages + references). Original research works. Regular papers must be original and not simultaneously submitted to another journal or conference. * Discussion papers (up to 8 pages + references). Results and ideas of interest to the workshop audience, including extended abstracts of recent authors? publications, papers currently under submission, position papers, system and application descriptions, and presentations of preliminary results. Paper selection will be based on originality, clarity, and technical quality. Submissions of papers must be in English, in PDF format, and formatted following the new CEUR-ART 1-column style, which is the style requested for the camera-ready preparation (Overleaf template). Accepted papers will be included in the proceedings. Proceedings will be published on CEUR-WS.org and indexed in Scopus. After acceptance, authors are required to re-submit the final PDF. ---------------------------------------- Important dates All deadlines are Anywhere on Earth (AoE). * Paper submission: July 14, 2026 * Author notification: August 11, 2026 * Workshop: October 25-26, 2026 ---------------------------------------- Organization * Gianluca Bonifazi, Marche Polytechnic University * Stefano Cirillo, University of Salerno * Eliana Pastor, Polytechnic University of Turin * Luca Virgili, Marche Polytechnic University -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Jun 6 05:35:24 2026 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 6 Jun 2026 11:35:24 +0200 (CEST) Subject: Connectionists: GeMAIHc 2027: early registration June 22 Message-ID: <1815712128.535951.1780738524542@webmail.strato.com> ******************************************************** 1st INTERNATIONAL SCHOOL ON GENERATIVE & MULTIMODAL AI FOR HEALTHCARE GeMAIHc 2027 Milan, Italy February 1-5, 2027 https://gemaihc.irdta.eu/2027/ ******************************************************** Co-organized by: Human Technopole IRDTA ? Institute for Research Development, Training and Advice ****************************************************** Early registration: June 22, 2026 ****************************************************** SCOPE AI is rapidly redefining biomedical research, clinical decision-making, and healthcare delivery worldwide. GeMAIHc 2027 will provide participants with a comprehensive overview of state-of-the-art AI methodologies. Topics will include generative modelling, multimodal data integration and augmentation, large language models and clinical NLP, medical image synthesis and analysis, as well as evaluation, robustness, validation, ethical considerations, and regulatory aspects of AI systems in healthcare. GeMAIHc 2027 aims to become a leading international forum at the intersection of generative AI, multimodal learning, and healthcare innovation. The program will emphasize both methodological foundations and real-world clinical applications, combining theoretical insights with practical perspectives. This interdisciplinary event will feature 18 monographic three-hour courses, 2 keynote lectures, 1 symposium, 4 local presentations, and hands-on activities with a hackathon. Leading academics and industry pioneers will share their expertise and perspectives with attendees. In-person interaction and networking will be central components of the event, while full remote participation will also be possible. ADDRESSED TO The program is open to PhD students and postdoctoral researchers in AI, data science, and biomedical disciplines, clinicians and healthcare professionals, industry practitioners and innovators, and policymakers and stakeholders in digital health. There are no formal academic prerequisites for participation. Researchers and professionals at all career stages are welcome. An international audience is expected, with backgrounds spanning computer science, medicine, engineering, mathematics, statistics, physics, and the social sciences. GeMAIHc 2027 will offer a unique opportunity to gain in-depth knowledge of a rapidly evolving field, to interact with experts across disciplines, to establish collaborations and expand professional networks, and to explore how AI is reshaping the future of healthcare. VENUE GeMAIHc 2027 will take place in Milan, one of Europe?s leading international centers for science, industry, fashion, and finance. The venue will be: Human Technopole Viale Rita Levi-Montalcini, 1 20157 Milan, Italy https://humantechnopole.it/en/ STRUCTURE Three parallel courses will run throughout the event. Participants will be free to choose the sessions they wish to attend and may move between courses at any time. A symposium will offer participants and companies the opportunity to present ongoing research or industrial developments through 10-minute oral presentations. The school will include a hackathon, during which participants will work in teams to tackle challenges in generative and multimodal AI for healthcare. All lectures will be video recorded and made available to participants for 45 days after the event. Full live online participation will be possible. Nevertheless, the organizers emphasize the importance of in-person interaction and networking in research training events of this kind. KEYNOTE SPEAKERS Deborah Estrin (Cornell University), Transforming Longitudinal Care with Digital Biomarkers and Therapeutics Lyle Palmer (Adelaide University), tba PROFESSORS AND COURSES (list to be completed) Pierre Baldi (University of California Irvine), [introductory/advanced] The AI-driven Healthcare of the Future Alejandro Frangi (University of Manchester), [intermediate/advanced] Virtual Patient Populations for In Silico Trials Using Generative AI Based on Multimodal Real-World Data Charles Friedman (University of Michigan), [introductory] Synergizing AI and Learning Health Systems to Transform Health Judy Wawira Gichoya (Emory University), [introductory/advanced] Combination in a Hands on Lab for Harmonizing Radiology Datasets Maryellen Giger (University of Chicago), [introductory/intermediate] Role of Data & Algorithms in Trustworthy Medical Imaging AI Casey Greene (University of Colorado), [introductory/advanced] Translating Generative AI into Healthcare from Pharmacogenomics to Foundation Models Tina Hernandez-Boussard (Stanford University), [intermediate/advanced] The AI Lifecycle in Healthcare: Evaluation, Deployment, and Responsible Implementation Jianying Hu (IBM Thomas J. Watson Research Center), [intermediate/advanced] Advanced Computing for Biomedical Research and Discovery Jayashree Kalpathy-Cramer (University of Colorado), [introductory] Toward Digital Twins: Multimodal AI for Imaging and Precision Medicine Alex John London (Carnegie Mellon University), [intermediate/advanced] Ethical and Scientific Challenges to Unlocking the Clinical Value of Artificial Intelligence Faisal Mahmood (Harvard University), tba Tom Pollard (Massachusetts Institute of Technology), tba Hoifung Poon (Microsoft Research), [advanced] Toward Virtual Patient: AI for Accelerating Medical Discovery Jian Tang (Mila-Qu?bec AI Institute), [introductory/advanced] Generative AI for Protein Design Peter van Ooijen (University of Groningen), [intermediate] Multimodal AI for Adaptive Radiotherapy: Tumor Segmentation, Uncertainty, and Explainability Karin Verspoor (Royal Melbourne Institute of Technology), [introductory/intermediate] AI Scientists and beyond: Roles for GenAI in Biomedical Research and Discovery Jelmer M. Wolterink (University of Twente), tba SYMPOSIUM A symposium will feature voluntary 10-minute oral presentations on ongoing research projects and industrial developments. Participants interested in presenting should submit a one-page abstract including title, authors, and summary to david at irdta.eu by January 8, 2027. HANDS-ON ACTIVITIES Hands-on team activities will be organized around challenges in generative and multimodal AI for healthcare. The challenges will be released two weeks before the beginning of the school. A jury will evaluate the submissions, and the winners will be announced at the end of February 2027. Winning teams will receive a modest monetary prize, while runners-up will receive certificates of recognition. ORGANIZING COMMITTEE Jan Funke (Milan) Ilaria Guerini (Milan) Francesca Ieva (Milan) Carlos Mart?n-Vide (Tarragona, program chair) Michela Carlotta Massi (Milan, local chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) David Silva (London, organization chair) REGISTRATION Registration is available at: https://gemaihc.irdta.eu/2027/registration/ The selection of six courses requested during registration is tentative and non-binding. This information will help estimate demand for logistical planning purposes. As venue capacity is limited, registrations will be processed on a first-come, first-served basis. Registration will close once capacity has been reached. Early registration is strongly recommended. FEES Registration fees include access to all school activities and lunches. Several early registration deadlines are available, and fees vary depending on the registration period. Fees are identical for on-site and online participation. ACCOMMODATION Accommodation suggestions will be provided in due time at: https://gemaihc.irdta.eu/2027/accommodation/ CERTIFICATE Participants will receive a certificate indicating 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS recognition from their home institutions. SPONSORS Companies, institutions, and organizations interested in sponsoring the event may download the sponsorship leaflet from: https://gemaihc.irdta.eu/2027/sponsors/ QUESTIONS AND FURTHER INFORMATION david at irdta.eu ACKNOWLEDGMENTS Human Technopole Universitat Rovira i Virgili IRDTA ? Institute for Research Development, Training and Advice -------------- next part -------------- An HTML attachment was scrubbed... URL: From boos.dani at gmail.com Sat Jun 6 07:39:21 2026 From: boos.dani at gmail.com (Daniel Boos) Date: Sat, 6 Jun 2026 13:39:21 +0200 Subject: Connectionists: [Challenge] ECML-PKDD - Real-World Baselines Challenge: Dynamic Train Rescheduling under Stochastic Perturbations Message-ID: The AI4REALNET Railway Competition for the ECML PKDD 2026 conference has extended its deadline! Real-World Baselines Challenge: Dynamic Train Rescheduling under Stochastic Perturbations You can still join the competition or improve your solutions. The submission-deadline has been extended to June 29th, 2026 (AoE). All the necessary information to participate is available on our competition website. The most important bits are: - Website - https://competition.flatland.cloud/suites/6240c685-0fb4-481e-9404-47a570632227 - ECML 2026 Starterkit - https://github.com/flatland-association/ecml2026-starterkit - Documentation - https://flatland-association.github.io/flatland-book/challenges/ecml2026.html There is a RL track as well as a non-RL track How to participate? Submit your solution on the website: https://competition.flatland.cloud/suites/6240c685-0fb4-481e-9404-47a570632227 Good luck and we are looking forward to your contribution. Best regards from the organization team, Daniel Boos, Switzerland for http://ai4realnet.eu From info at icas.cc Fri Jun 5 12:22:03 2026 From: info at icas.cc (ICAS Organizing Committee) Date: Fri, 5 Jun 2026 18:22:03 +0200 Subject: Connectionists: =?utf-8?q?1st_Call_for_Participation=3A_Internati?= =?utf-8?q?onal_Artificial_Intelligence_Summer_School_=E2=80=93_IAI?= =?utf-8?q?SS_2026=2C_Sept_20-24=2C_Riva_del_Sole_Resort_=26_SPA_?= =?utf-8?q?=40_Tuscany_*_Registration=3A_by_June_23_*?= Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * IAISS2026, A Residential Summer School in Frontier AI IAISS 2026 is a full-immersion 5-day Summer School in Tuscany on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. ? Riva del Sole Resort & SPA @ Tuscany, Italy, ? Sept 20-24, 2026 ? https://2026.iaiss.cc iaiss at icas.cc ? LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. Stefano V. Albrecht, Nanyang Technological University, Singapore Giuseppe De Giacomo, University of Oxford, UK Christoph Feichtenhofer, Meta Superintelligence Labs, USA Sven Giesselbach, T-Systems International, Germany 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 Sebastian Lins Risi, Sakana AI, Japan & IT University of Copenhagen, Denmark George Paliouras, National Center for Scientific Research "Demokritos", Athens, Greece Panos Pardalos, University of Florida, USA More Lecturers TBA ? https://2026.iaiss.cc/lecturers/ ? https://2026.iaiss.cc/lectures/ ? REGISTRATION: by June 23 (AoE) https://2026.iaiss.cc/registration/ Applicant *may* submit (during the Registration Process) a research abstract (max 2 pages; any format) for presentation. School directors and the scientific committee will review the abstracts and will recommend for poster and/or short talk. Abstract can be submitted by June 23 during the registration process. PAST EDITIONS: https://2026.iaiss.cc/previous-editions/ IAISS Norbert Wiener Best Presentation Award in Artificial Intelligence: https://2026.iaiss.cc/best-presentation-award/ VENUE: https://2026.iaiss.cc/venue/ Riva del Sole Resort & SPA Localit? Riva del Sole? Castiglione della Pescaia (Grosseto) CAP 58043? Tuscany? Italy p: +39-0564-928111 e: booking.events at rivadelsole.it w: https://www.rivadelsole.it/en/ ? CERTIFICATE & 8 ECTS: The International Artificial Intelligence Summer School ? IAISS 2026 is a full-immersion five-day Summer School at the Riva del Sole Resort & SPA (Castiglione della Pescaia ? Grosseto ? Tuscany, Italy) on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. The Summer School 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 IAISS attendants. The Summer School 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 Summer School. Language: English. To participate in the IAISS 2026, all attendants must (1/2) register for the school (by June 23, 2026) and (2/2) book accommodation at the school venue, ?Riva del Sole Resort & SPA? (by July 23, 2026); all attendants must stay at the ?Riva del Sole Resort & SPA?. Once accommodation has been booked at ?Riva del Sole Resort & SPA?, the participant must send this information (including the Booking Number) to the IAISS organizing committee (iaiss at icas.cc). IAISS is a residential school, 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, please send to the Hotel ( booking.events at rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book an apartment in single use. IAISS is organized as a non-profit scientific event. Please note that only IAISS 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 IAISS 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 IAISS 2026 should register as soon as possible: ? https://2026.iaiss.cc/registration/ See you in Riva del Sole in September! IAISS 2026 Organizing Committees. https://2026.iaiss.cc iaiss at icas.cc https://www.linkedin.com/groups/19146028/ Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: https://2026.iaiss.cc the News Section: https://2026.iaiss.cc/category/news/ and the FAQ: https://2026.iaiss.cc/faq/ * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Fri Jun 5 16:50:44 2026 From: cgf at isep.ipp.pt (Carlos) Date: Fri, 5 Jun 2026 21:50:44 +0100 Subject: Connectionists: CFP: SoGood 2026 - ECML-PKDD Workshop on Data Science for Social Good - Deadline Extended to June 14 Message-ID: <405df7b4-6594-48cc-9d1a-944e580a035f@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/ ================= Due to several requests the deadline for paper submission was extended to June 14, 2026. Important Dates: There will be an award for the best paper. - Submission deadline: June 14, 2026 (New deadline) - 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. 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 Anand.Subramoney at rhul.ac.uk Fri Jun 5 17:25:14 2026 From: Anand.Subramoney at rhul.ac.uk (Subramoney, Anand) Date: Fri, 5 Jun 2026 21:25:14 +0000 Subject: Connectionists: Call for participation - Summer School on Computational Decision Sciences, London, Sept 7-11 In-Reply-To: References: Message-ID: Dear all, It?s our pleasure to announce the Graduate Summer School on Computational Decision Sciences (GSS-CDS)??the second edition of the summer school at the Centre for Decision Sciences, Royal Holloway, University of London. What GSS-CDS will bring together an interdisciplinary audience tackling decision making in different scientific fields (see Program). The focus is on mathematical and computational modelling, integrating concepts and methods from mathematical psychology, computational psychiatry, computational neuroscience, computational social sciences, machine learning, and cultural evolution. Attendees will benefit from talks from leading researchers and practical hands-on sessions. Attendees will also have the opportunity to receive career advice during social networking events and reflect critically about research practices in EDI sessions. Where and When GSS-CDS will take place at Stewart House, within Senate House, in Central London, on September 7th-11th (see Schedule). Target audience GSS-CDS is targeted towards attendees from diverse fields (e.g., psychology, neuroscience, social sciences, computer science, machine learning etc.) and career stages (masters, PhD, postdoc, and junior PI). Prerequisite A basic background knowledge in elementary statistics (e.g., probability theory) and programming in Python/R is highly recommended to master the technical skills, but no prior experience with computational modeling is required. Registration Course fee is ?480 (includes the registration fee, lunch, tea/coffee breaks, reception events and VAT). To register, please visit this page. Places are limited and registrations will close on Monday, June 15th, at 10am UK time. Please feel free to share this information with anyone you think might be interested in participating. Looking forward to seeing you all in September. Best wishes, Gabriele, Nura, Anand This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free. -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at manchester.ac.uk Sat Jun 6 05:24:14 2026 From: samuel.kaski at manchester.ac.uk (Samuel Kaski) Date: Sat, 6 Jun 2026 09:24:14 +0000 Subject: Connectionists: Several Postdoctoral researchers and 1-2 doctoral researcher positions in machine learning in Kaski Lab In-Reply-To: References: Message-ID: [Apparently the link was not working, here again. Sorry for double posting. /Samuel] I am hiring: Several Postdoctoral researchers and 1-2 doctoral researcher positions in machine learning in Kaski Lab, ELLIS Institute Finland and Manchester Centre for AI Fundamentals, DL June 28, 2026 Topics: - Multimodal foundation models - Out-of-Distribution Generalization - Collaborative AI - Fundamental and Applied ML (propose specifics!) For more info, see the links at the top of https://kaski-lab.com From: Samuel Kaski > Date: Tuesday, 2. June 2026 at 21.47 To: Connectionists > Subject: Several Postdoctoral researchers and 1-2 doctoral researcher positions in machine learning in Kaski Lab I am hiring: Several Postdoctoral researchers and 1-2 doctoral researcher positions in machine learning in Kaski Lab, ELLIS Institute Finland and Manchester Centre for AI Fundamentals, DL June 28, 2026 Topics: - Multimodal foundation models - Out-of-Distribution Generalization - Collaborative AI - Fundamental and Applied ML (propose specifics!) For more info, see the links at the top of -------------- next part -------------- An HTML attachment was scrubbed... URL: From stephan.petrone at gmail.com Sat Jun 6 13:16:50 2026 From: stephan.petrone at gmail.com (Stephan Petrone) Date: Sat, 6 Jun 2026 19:16:50 +0200 Subject: Connectionists: Last seats @ Quantum & Neuromorphic Optimization summer school 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 - APPLICATION DEADLINE: 15th June 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" ** 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 *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 dhansel0 at gmail.com Mon Jun 8 02:18:19 2026 From: dhansel0 at gmail.com (David Hansel) Date: Mon, 8 Jun 2026 08:18:19 +0200 Subject: Connectionists: World wide VVTNS series (6th season): June 10 2026 | Learning to Compose: Geometric Reorganization of Prefrontal Dynamics Enables Flexible Multi-Task Control | Alexandre Leon Mahrach IDIBAPS, Barcelona 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 Alexandre Leon Mahrach IDIBAPS, Barcelona on the topic of Learning to Compose: Geometric Reorganization of Prefrontal Dynamics Enables Flexible Multi-Task Control The lecture will be held on Zoom on June 10, 2026 at *11:00 am ET * To receive the link: https://www.wwtns.online/register-page > > > *Abstract: *Complex behavior requires neural circuits to compose elementary operations?maintaining memories, evaluating sensory cues, suppressing premature actions?into context-appropriate programs. How prefrontal dynamics reorganize to support such composition when task demands compete within a shared neural population remains unclear. Here, we developed a dual-task paradigm in mice that combined a delayed paired-association (DPA) task with an olfactory Go/No-Go (GNG) discrimination embedded in the delay period. Mice learned the dual task rapidly, with early errors dominated by false alarms on unpaired DPA trials. Interference was asymmetric: Go cues disrupted performance more than No-Go cues, pinpointing premature action rather than memory failure as the central learning bottleneck. Population calcium imaging from medial prefrontal cortex (mPFC) showed that sample identity, choice tendency, and test identity occupied near-orthogonal subspaces of a shared low-dimensional manifold. As training progressed, sample representations remained stable while delay-period activity shifted away from the action-associated region. To probe the underlying circuit mechanisms, we trained low-rank recurrent neural networks on the same paradigm. Networks developed a circular manifold on which memories were stored as attractors at distinct angular positions, and test stimuli acted as compositional rotation operators, routing stored memories to appropriate actions. Dual-task training relocated mnemonic attractors to a position that a reduced geometric model identified as Pareto-optimal?revealing a fundamental tradeoff in which optimizing one task necessarily impairs the other. Consistently, optogenetic inhibition of ACC?mPFC projections during the delay displaced attractor geometry and selectively biased DPA versus GNG accuracy, matching the reduced model's prediction. Together, our results reveal how prefrontal circuits dynamically reshape attractor geometry through learning-dependent attractor fine-tuning, providing a mechanistic framework for how cortex resolves competing cognitive demands. *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 anna.deichler at gmail.com Sun Jun 7 03:42:21 2026 From: anna.deichler at gmail.com (Anna Deichler) Date: Sun, 7 Jun 2026 09:42:21 +0200 Subject: Connectionists: =?utf-8?q?=5BCFP=5D_Workshop_and_Challenge_on_Hum?= =?utf-8?q?an=E2=80=93Scene_Interaction_=28HSI=29_at_ECCV_2026?= Message-ID: We invite submissions to the First Workshop on Human?Scene Interaction (HSI) at ECCV 2026 in Malm?, Sweden. ===================================================== Important Dates: Submission deadline: July 7, 2026 Notification: July 31, 2026 Workshop: September 2026 We welcome both archival and non-archival submissions. Website: https://www.hsi-workshop.com/ Contact: hsi-workshop at googlegroups.com ===================================================== Overview This workshop focuses on modelling and generating human/humanoid motion and behaviour grounded in the surrounding scene. The goal is to bring together research from computer vision, graphics, robotics, and multimodal learning to advance scene-aware embodied agents. ===================================================== Invited Speakers - Umar Iqbal ? NVIDIA DAIR - Taku Komura ? University of Hong Kong - Zhengyi Luo ? NVIDIA GEAR - Gerard Pons-Moll ? University of T?bingen ===================================================== Topics include, but are not limited to: - Scene-conditioned human motion generation - Human-scene and human-object interaction modelling - Referring expression understanding and grounding in 3D scenes - Language understanding and grounded communication for embodied agents - Vision-language-motion alignment and grounding - Vision-language-action (VLA) models for embodied agents - Multimodal learning for motion and interaction - Datasets, benchmarks, and evaluation for interaction - Affordance learning and scene understanding - Physically-based simulation of interaction - Applications in robotics, animation, AR/VR, and embodied communication - Technical reports accompanying challenge submissions ===================================================== Submission Guidelines Archival Submissions - Must present original, unpublished work. - Will undergo peer review. - Accepted papers will be published in the ECCV 2026 Workshop Proceedings (Springer LNCS). - Papers must follow the ECCV formatting guidelines. Non-Archival Submissions - May include previously published work, work under review, or ongoing research. - Intended for presentation only (poster or oral), and will not be included in the proceedings. - Ideal for sharing recent results, demos, or position papers. ===================================================== Challenge Track The workshop will also host a challenge on scene-aware gesture generation based on the MM-Conv dataset. Participation in the challenge requires a paper submission describing the method. All challenge submissions will be considered archival submissions and will undergo peer review. Challenge details: https://www.hsi-workshop.com/challenge ===================================================== Organizers - Jonas Beskow, KTH Royal Institute of Technology (Sweden) - Rishabh Dabral, Max Planck Institute for Informatics (Germany) - Anna Deichler, KTH Royal Institute of Technology (Sweden) - Fethiye Irmak Do?an, University of Cambridge (UK) - Anindita Ghosh, Max Planck Institute for Informatics (Germany) -------------- next part -------------- An HTML attachment was scrubbed... URL: From lucas at lucas-boettcher.info Mon Jun 8 03:01:34 2026 From: lucas at lucas-boettcher.info (Lucas Boettcher) Date: Mon, 8 Jun 2026 09:01:34 +0200 Subject: Connectionists: =?utf-8?q?MSc_in_Artificial_Intelligence_=26_Data?= =?utf-8?q?_Science_=E2=80=94_Application_Deadline_Approaching_=28Frankfur?= =?utf-8?q?t_School=2C_Germany=29?= Message-ID: <73c67721-847f-454d-92e6-77103bb03a99@lucas-boettcher.info> Dear colleagues The application deadline (June 30, 2026) is approaching for our very international MSc program in Artificial Intelligence & Data Science at the Frankfurt School of Finance & Management in Frankfurt, Germany. The full-time program starts on August 24, 2026. Applicants should have a solid background in a quantitative subject (e.g., mathematics, engineering, computer science, or physics) and an interest in interdisciplinary, data-driven problem solving. The program includes a dedicated company cooperation project enabling students to apply methods from courses in machine learning operations and agentic systems. Further information and application details are available at: https://www.frankfurt-school.de/en/study/master/master-of-artificial-intelligence-and-data-science A short video introduction to the program is available here: https://www.youtube.com/watch?v=j1-jmGho-vk Best regards, Lucas Boettcher From romain.bourqui at u-bordeaux.fr Mon Jun 8 03:34:19 2026 From: romain.bourqui at u-bordeaux.fr (Romain Bourqui) Date: Mon, 8 Jun 2026 09:34:19 +0200 Subject: Connectionists: Call for participants Message-ID: Hello everyone, We apologize for the potential multiple receptions. We are reaching out today because we are looking for participants for a scientific study. We need at least 90 participants for this study. That?s a lot, so everyone?s participation is a huge help. What is the context of this study? Today, the media allows us to stay informed and connected. However, the amount of new information each day is enormous, and it is impossible to read it all. Not to mention that everyone?s interests are different. Fortunately, recommendation systems allow us to select a subset of news articles based on your preferences. The goal of our study is to better understand how these recommendations and the information they contain affect users, not to perfect these recommendation systems. So, what exactly am I expected to do? We are looking for participants for a two-stage study. In the first stage, you will be asked to fill out a demographic questionnaire and rate a set of news articles based on their title and a short description. This stage is essential so that we can provide personalized recommendations tailored to your profile in the second stage. The second stage will take place around three weeks later. This timeframe is necessary to allow us to recruit enough participants for the first stage and train our models. During this second stage, you will be asked to rate a set of recommendations and complete a final questionnaire. Great, and how long does it take? The duration can obviously vary from person to person, but the estimated time is about 30 minutes for each stage. Who can participate? To participate, you must: Be of legal age Have normal or corrected vision Understand English (minimum B2 level) as the entire experience is in English You did not participate in the first experiment in November 2025 Use a computer or a tablet (the experience is not guaranteed to work on a phone) Why is it important to participate? In science, it?s important to include as many participants as possible in our studies to ensure the reliability of our results. A phenomenon observed for 3 individuals cannot be generalized; but when observed for 100, it?s already much more reliable. Every contribution is a big help. If you can?t participate, you can share this message to help us. I?m convinced. How do I participate? To participate, simply visit the following website: http://ece-research.fr/ (Please note: this is http, not https) Once on the page, click ?Participate? and follow the instructions. If you have any questions, we are of course available at the following address: echauvergne at ece.fr Thank you all for your help! Do not hesitate to share this user study with your friends, colleagues, and family. Edwige Chauvergne, Romain Giot, Romain Bourqui and Guilherme Medeiros Machado ? Romain Bourqui Ma?tre de conf?rences / Associate Professor, IUT de Bordeaux & LaBRI UMR CNRS 5800 Responsable de l??quipe Bench to Knowledge and Beyond / Head of Bench to Knowledge and Beyond research team -------------- next part -------------- An HTML attachment was scrubbed... URL: From prkkpatel at gmail.com Mon Jun 8 05:12:25 2026 From: prkkpatel at gmail.com (KK Patel) Date: Mon, 8 Jun 2026 14:42:25 +0530 Subject: Connectionists: Invitation to deliver a keynote address/invited talk at the 8th icSoftComp2026 | Singapore | Scopus-indexed | Springer CCIS Message-ID: Dear Professor, Greetings! I'm pleased to inform you that the *8th International Conference on Soft Computing and its Engineering Applications (icSoftComp2026)* will be organized on December 8?10, 2026, in Singapore. Web: https://icsoftcomp.org/ Springer Conference Series: https://link.springer.com/conference/icsoftcomp icSoftComp2026 aims to provide an excellent international forum for researchers, academicians, students, and professionals in areas of computer science and engineering to present their research, knowledge, new ideas, and innovations. The conference will exhibit an exciting technical program and feature high-quality tutorials and workshops, industry panels, exhibitions, and keynotes from prominent research and industry leaders. If you would like to deliver a keynote or invited talk during the conference, could you please fill out https://forms.gle/7WYXd9CZP4A1kRry8, or send an email to kanupatel.mca at charusat.ac.in There is NO registration fee for the speakers. We may arrange the talk ONLINE. In case you need to review some keynote addresses from past conferences of icSoftComp, you may visit this link: https://icsoftcomp.org/speakers.php Could you please let me know if you need any other information? Warm regards, *KK Patel, Ph.D., Email: kanupatel.mca at charusat.ac.in Cell: +91-8200103724 (WhatsApp)* -------------- next part -------------- An HTML attachment was scrubbed... URL: From daniel.braun at uni-ulm.de Mon Jun 8 06:06:09 2026 From: daniel.braun at uni-ulm.de (Daniel Braun) Date: Mon, 08 Jun 2026 12:06:09 +0200 Subject: Connectionists: PhD Position in Neuro-Symbolic AI at Ulm University Message-ID: 1x PhD Position (TV?D E13, 100%)? in Neuro-Symbolic AI University of Ulm, Institute of Neural Information Processing, Faculty of Engineering, Computer Science and Psychology? There is a fully funded PhD position available at the Institute of Neural Information Processing, Ulm University, Germany. At the institute we are interested in the mathematical foundations of intelligent behaviour in biological and artificial systems. The PhD topic will revolve around the fundamental question of how the abstraction capabilities of classic symbolic knowledge systems can be combined with the sub-symbolic pattern recognition capabilities of neural networks in order to allow neural networks to take existing knowledge into account when making predictions. The PhD position will be part of the newly established DFG graduate school KEMAI (https://kemai.uni-ulm.de/). The structured PhD programme has a duration of 3 years with the possibility of extending for one more year. The candidate will have the opportunity both to make contributions to fundamental questions in AI and cognitive science and to apply their work directly in the context of medical imaging through collaboration with Ulm University Clinic.? The applicants should have a strong mathematical background, hold a degree in natural science, mathematics, economics, psychology, computer science, engineering or similar and have a keen interest in neuroscience and artificial intelligence. The position will be available from JAN 1, 2027 and will be filled as soon as possible. The University of Ulm is an equal opportunity employer. Candidates should send a CV and a brief statement of interest to Prof. Dr. Dr. Daniel Alexander Braun?daniel.braun at uni-ulm.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimo.srt at gmail.com Mon Jun 8 04:22:10 2026 From: massimo.srt at gmail.com (Massimo Sartori) Date: Mon, 8 Jun 2026 10:22:10 +0200 Subject: Connectionists: [jobs] Postdoc in Reinforcement Learning for Musculoskeletal Robots at University of Twente (NL, EU) Message-ID: Postdoc Opportunity in Reinforcement Learning for Musculoskeletal Robotics We are looking for a highly motivated Postdoctoral Fellow to join the NeuBoticsLab at the University of Twente's Robotics Centre as part of a collaborative Swiss National Science Foundation SNSF project with ETH Z?rich?s Soft Robotics Lab. The project focuses on developing Digital HumanTwins of human-inspired musculoskeletal robots, combining reinforcement learning, neuromusculoskeletal modeling, and robotic experimentation to enable robust sim-to-real control of next-generation robotics. If your background includes robotics, machine learning, biomechanics, AI, control systems, we?d love to hear from you. ? Enschede, The Netherlands ? Application deadline: 5 July 2026 ? Apply here: https://utwentecareers.nl/en/vacancies/2509/postdoctoral-fellow-opening-reinforcement-learning-for-the-control-of-human-inspired-musculoskeletal-robots/ --- Massimo Sartori Full Professor and Head of Chair, Neuromuscular Robotics Lab Head, Neubotics Lab University of Twente, TechMed Centre, Robotics Centre Faculty of Engineering Technology Department of Biomechanical Engineering 7500 AE, The Netherlands Personal: https://people.utwente.nl/m.sartori Lab: https://bit.ly/NMLab YouTube: https://bit.ly/NMLTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From robert.legenstein at tugraz.at Mon Jun 8 11:54:25 2026 From: robert.legenstein at tugraz.at (Robert Legenstein) Date: Mon, 8 Jun 2026 17:54:25 +0200 Subject: Connectionists: Open PhD position - Brain-inspired Machine Learning and Spiking Neural Networks Message-ID: <081b1c48-f2da-4ec5-968b-8d6c8ffe266e@tugraz.at> The Lab of Robert Legenstein at Graz University of Technology (Austria) https://www.tugraz.at/institute/iml/people/prof-legenstein/ is offering a funded PhD position (Univ. Assistant) in the areas Brain-inspired Machine Learning/Spiking Neural Networks. In paticular, we will investigate brain-inspired models that bridge between sub-symbolic and symbolic artificial intelligence approaches in the context of the Cluster of Excellence Bilateral AI: https://www.bilateral-ai.net A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. For details and application portal, see https://jobs.tugraz.at/en/jobs/e60aac86-0142-4968-a7f1-87662a99f784 -- Dr. Robert Legenstein Univ.-Professor Institute of Machine Learning and Neural Computation Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.iml.tugraz.at/legi/ WebEx: https://tugraz.webex.com/meet/robert.legenstein ++43/316/873-5824 ---------------------------------- From hocine.cherifi at gmail.com Mon Jun 8 17:05:43 2026 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 8 Jun 2026 23:05:43 +0200 Subject: Connectionists: =?utf-8?q?Free_Proceedings_Access_=E2=80=93_Submi?= =?utf-8?q?t_to_COMPLEX_NETWORKS_2026_in_Granada=2C_Spain_!?= Message-ID: Last December in *Binghamton*, over 300 researchers came together to share the latest in *network science, graph learning, and complex systems* at *COMPLEX NETWORKS 2025*. ? We?re now offering you *free access* to the full Springer proceedings (Volumes 1?4), featuring high-impact contributions across disciplines: ? Access the proceedings (until June 30, 2026*)* : https://drive.google.com/drive/folders/11_Xzh--IUPNwj6HE-Hzj8cIhXL-LLbMZ?usp=sharing ------------------------------ ? *Be part of what?s next.* Submit your work to *COMPLEX NETWORKS 2026*, held in *Granada, Spain*, from *December 2 to 4, 2026*. ? *Important Dates* - Submission Deadline: *September 2, 2026* - Tutorials: *December 1, 2026* - Conference: *December 2-4, 2026* ? *Submission Options* - ? Full Papers (max 12 pages) ? Springer Proceedings Publication - ? Extended Abstracts (max 4 pages) ? Book of Abstracts with ISBN ? Selected papers will be invited to journals including: ? *Applied Network Science * ? *Advances in Complex Systems * ? *Complex Systems * ? *Entropy * ? *PLOS Complex Systems * ? *PLOS one * ? *Social Network Analysis and Mining * ? Submit your paper ? More info We look forward to your contribution to this dynamic community! Best regards, *The COMPLEX NETWORKS 2026 Organizing Committee* ? hocine.cherifi at gmail.com | ? complexnetworks.org Join us at COMPLEX NETWORKS 2026 *-------------------------* Hocine CHERIFI Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Universit? Bourgogne Europe Editor in Chief Plos Complex Systems Founding & Adisory Editor Applied Network Science Editorial Board member IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Evolutionary Intelligence -------------- next part -------------- An HTML attachment was scrubbed... URL: From sarathcse2008 at gmail.com Mon Jun 8 22:37:11 2026 From: sarathcse2008 at gmail.com (Sarath Chandar) Date: Mon, 8 Jun 2026 22:37:11 -0400 Subject: Connectionists: [CFP] Conference on Lifelong Learning Agents (CoLLAs) 2026 - Non-archival Track Message-ID: Dear All, We invite you to submit to the non-archival track of CoLLAs 2026. The Conference on Lifelong Learning Agents (CoLLAs) is an annual gathering of researchers to exchange ideas on all facets of adaptation of ML models, especially, but not limited to, the ability for lifelong learning. The model can be adapted continually during training on new data/tasks/skills, or could just be a one-off fine-tuning or model merging. Adaptation can add new knowledge, or remove/edit outdated undesired behaviors. The Non-Archival Track of CoLLAs is designed to allow authors to present work in three categories: *1. Journal Track:* recently published work in journals. TMLR will provide a ?CoLLAs certification? for TMLR papers that are accepted to be presented at the CoLLAs conference. *2. Sister Conference Track:* recently published conference papers at sister conferences like ICML/ICLR/NeurIPS/CVPR/ICCV/ACL/EMNLP/etc. *3. Work-in-Progress Track:* ongoing work that is not yet ready for submission to a main conference or journal. More details about the call can be found here: https://lifelong-ml.cc/Conferences/2026/call_for_non_archival_track *Openreview page for journal/sister-conference Track:* https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2026/Published_Journal-Conference_Papers_Track *Openreview page for work-in-progress Track:* https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2026/Work-In-Progress_Track *Submission Deadline: July 01, 2026.* CoLLAs 2026 will be held in Precis Center, National University of Science and Technology POLITEHNICA Bucharest, Romania, and will be an in-person conference. For any questions about the conference, you can contact us at contact at lifelong-ml.cc. Regards, Camila Gonzalez, Xialei Liu CoLLAs 2026 Non-archival Track Chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From serafeim.perdikis at essex.ac.uk Mon Jun 8 14:31:00 2026 From: serafeim.perdikis at essex.ac.uk (Perdikis, Serafeim) Date: Mon, 8 Jun 2026 18:31:00 +0000 Subject: Connectionists: Essex BCI-NE webinar: Building Inclusive BCIs and Neurotechnologies by Prof. Mahnaz Arvaneh Message-ID: https://www.linkedin.com/company/essex-bcine-lab/ The Essex BCI-NE Lab invites you to join our next monthly webinar: Beyond Accuracy: Building Inclusive BCIs and Neurotechnologies for Diverse Communities Delivered by Prof. Mahnaz Arvaneh Professor of Intelligent Human-Machine Interfaces, Physiological Signals and Systems Laboratory, School of Electrical and Electronic Engineering, University of Sheffield, United Kingdom The webinar will take place over Zoom on Wednesday, 24th June 2026, at 2 PM UK time RSVP: https://www.linkedin.com/events/7469814451047784448 Abstract: Brain?computer interfaces and neurotechnologies are often developed and validated in participant groups that do not reflect the diversity of the communities they aim to serve. This creates risks of unequal performance, limited adoption, and exclusion from future benefits. In this talk, I will discuss inequities in BCI and neurotechnology research, focusing on barriers faced by marginalised communities in participation, trust, accessibility, and adoption. Drawing on findings from the ARIA-funded Neurotech4All programme, I will highlight how technical, cultural, practical, and psychological factors can shape user engagement. I will conclude with recommendations for designing more inclusive, acceptable, and scalable neurotechnologies. Speaker Biography: Mahnaz Arvaneh is Professor of Intelligent Human?Machine Interfaces at the University of Sheffield and Director of the Physiological Signals and Systems Laboratory. Her research focuses on AI-powered, user-centred neurotechnologies, with particular expertise in brain?computer interfaces, EEG signal processing, machine learning, and closed-loop systems for cognitive and physical rehabilitation. She has led multiple interdisciplinary projects spanning healthcare, neurotechnology, and human?machine interaction, including the development of home-based BCI rehabilitation systems for stroke survivors. She currently leads the ARIA-funded Neurotech4All programme, which investigates barriers to participation and adoption of neurotechnology among marginalised communities and develops recommendations for more equitable and inclusive neurotechnology design. Professor Arvaneh serves as Associate Editor for several leading journals and has contributed to national and international initiatives shaping the future of neurotechnology. 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: From boubchir at ai.univ-paris8.fr Tue Jun 9 04:42:05 2026 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Tue, 9 Jun 2026 10:42:05 +0200 Subject: Connectionists: [CfP] [deadline approaching] 2026 10th International Conference on Communication and Network Technology Message-ID: <31febccd-e4b8-447d-9e29-06adb7fabd9f@ai.univ-paris8.fr> *2026 10^th International Conference on Communication and Network Technology* September 7-9, 2026 Paris, France https://www.iccnt.org/ */ /* */Call for Papers/*** 2026 10th International Conference on Communication and Network Technology is the premier forum for the presentation of technological advances and research results in the fields of communication and network technology. The conference is soliciting state-of-the-art research papers in the following areas of interest (but not limited to): * * *Track 1: Computer Networks and Protocols* * Network protocols * Network services * QoS and multimedia networking * Network applications * Network operation and management * Localization for wireless networks * Network estimation and processing techniques * Algorithmic aspects of communication networks * Long Range networks, technologies and applications * * *Track 2: Wireless System Architectures* * Mobility, location, and handoff management * Mobile and wireless IP * Wireless multicasting, routing * Robust routing * Wireless broadcast, multicast and streaming * Congestion and admission control * Proxies and middleware for wireless networks * Performance of E2E protocols over wireless networks *Track 3: Security, Authentication, and Cryptography* * Social networks and cybersecurity * Wireless network security and privacy * Biometric Authentication: Security, Usability, and Ethical Considerations * Security in mobile and ubiquitous systems * Cybersecurity in Healthcare * Securing critical infrastructure in smart grids, transportation systems, and financial services * Securing the Internet of Things (IoT) - Challenges and Advancements in Authentication and Encryption * Blockchain and networks security * Mitigating threats in the multimedia stream - piracy, deepfakes, and disinformation * Content protection and privacy in multimedia networks *Track 4: Challenges in Internet of Things* * Network design and performance evaluation * Mesh, relay, sensor and ad hoc networks * High performance computing * Complex network models in IoT * Cyber-physical systems * Cloud and edge computing * Big Data and data engineering * Machine learning in IoT applications * Industrial IoT - emerging technologies * * *Track 5: Software Systems and Applications* * Communication theory and systems * Signal processing techniques and tools * Multimedia analysis and processing * Multimedia tools and applications * Intelligent agents * Multimedia QoS and traffic management * Software engineering support for pervasive applications * Novel applications of pervasive computing * Test and evaluation of pervasive systems *Important Dates* Submission Deadline: *June 30, 2026* Acceptance Notification Date: July 30, 2026 Registration Deadline: August 15, 2026 Camera-Ready Paper Submission: August 15, 2026 Conference Dates: September 7-9, 2026 *Submission System:*https://www.zmeeting.org/submission/iccnt2026 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ICCNT 2026-R3.pdf Type: application/pdf Size: 1007592 bytes Desc: not available URL: From hbrockmann at constructor.university Tue Jun 9 06:44:53 2026 From: hbrockmann at constructor.university (Brockmann, Hilke) Date: Tue, 9 Jun 2026 10:44:53 +0000 Subject: Connectionists: EXTENDED [CFP] Augmented Democracies at IJCAI 2026 Message-ID: ? EXTENDED DEADLINE ? JUNE 22nd, 2026 ? Call for Papers ?Augmented Democracies: AI for Civic Engagement and Democratic Decision-Making.? We are hosting a full-day workshop at IJCAI-ECAI 2026 on 17 August in Bremen, Germany ? and we'd love to see your work. How can AI help us deliberate better, include more voices, and govern more fairly? This workshop brings together researchers from AI, HCI, political science, computational social science, and digital democracy practice to tackle one of democracy's core challenges: the deliberative trilemma of broad participation, high-quality deliberation, and political equality. We welcome submissions across four tracks: ? AI-Mediated Deliberation & Consensus Formation ? AI for Representation & Inclusion ? Real-World Deliberation Platforms & Deployment ? Democratic AI Governance & Alignment We accept long papers (up to 7 pages) and extended abstracts (up to 2 pages) ? including work in progress and position statements. ? Key dates: ? Submission deadline: 22 June 2026 ? Author notification: 25-30 June 2026 ? Camera-ready: 10 July 2026 Please submit via ChairingTool:https://chairingtool.com/conferences/ijcai-aude26/main-track?role=author Workshop website:https://i-yam.github.io/AuDe/ Looking forward to seeing your inspiring work! #AIforGood #Democracy #IJCAI2026 #CallForPapers #DigitalDemocracy #HCI #ComputationalSocialScience -------------- next part -------------- An HTML attachment was scrubbed... URL: From spp2205 at ds.mpg.de Tue Jun 9 07:39:12 2026 From: spp2205 at ds.mpg.de (MPSF, SPP2205) Date: Tue, 9 Jun 2026 11:39:12 +0000 Subject: Connectionists: =?windows-1252?q?Call_for_participation_=26_poste?= =?windows-1252?q?rs_-_workshop_=93Cortex_Structure_and_Function_in_Monkey?= =?windows-1252?q?=2C_Mouse_and_Man=94_=28Sep_21-24=2C_2026=29?= Message-ID: <0de5cdb3682348cab53e966a4a98776d@ds.mpg.de> Dear all, as we still have a few seats available, we decided to postpone the deadline for pre-registration to June 15. Make use of it? (all details below) Best, Britta ---- 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 Jun 15, 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 Mlynarski, 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! **************** 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 ioannakoroni at csd.auth.gr Tue Jun 9 06:17:30 2026 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 9 Jun 2026 13:17:30 +0300 Subject: Connectionists: CfP for the invited lecture of Dr. I. Pitas on 'Decentralized Machine Learning for Natural Disaster Management Applications' at U Connecticut, on June 11th, 2026 @ 12:00pm EDT In-Reply-To: References: Message-ID: <890a76c6-4104-4d41-a563-66e016fa4a2c@csd.auth.gr> Dear AI scientists and students, University of Connecticut hosts the attached upcoming exciting lecture by Dr. Ioannis Pitas /Chair of the International AI Doctoral Academy (//AIDA/ /) Principal Researcher at Aristotle University of Thessaloniki (AUTH) and CERTH/ITI Greece./ You are welcomed to attend. When & Where: June 11th, 2026 @ 12:00pm EDT, IPB Room 203, University of Connecticut, Storrs, CT, USA Virtual Zoom link: https://authgr.zoom.us/j/92451144378 *Decentralized Machine Learning for Natural Disaster Management Applications* *Abstract:* This lecture overviews decentralized and distributed DNN architectures and their implementation in cloud/edge environments. Big data analysis can be greatly facilitated if decentralized/distributed DNN architectures are employed that interact with each other for DNN training and/or inference using the human Teacher-Student education paradigm. A novel Learning-by-Education Node Community (LENC) framework is presented that facilitates communication and knowledge exchange among diverse Deep Neural Networks (DNN) agents, undertaking the role of a student or teacher DNN by offering or absorbing knowledge respectively. The framework enables efficient and effective knowledge transfer among participating DNN agents while enhancing their learning capabilities and fostering their collaboration among diverse networks. The proposed framework addresses the challenges of handling diverse training data distributions and the limitations of individual DNN agent learning abilities. The LENC framework ensures the exploitation of the best available teacher knowledge upon learning a new task and protects the DNN agents from catastrophic forgetting. The experiments demonstrate the LENC framework functionalities on multiple teacher-student learning techniques and their integration with lifelong learning. Our experiments manifest the LEMA framework?s ability to maximize the accuracy of all participating DNN agents in classification tasks by leveraging the collaborative knowledge of the framework. A LENC framework implementation in cloud/edge environments is also overviewed. Applications are presented in big visual data analysis tasks for Natural Disaster Management (NDM), focusing on flood and wildfire monitoring, combatting and management. As many players enter into NDM, from first responders to civil authorities, NDM needs big data analysis that is typically decentralized and DDN-based and resides in the entire edge-to-cloud computing continuum. -------------- next part -------------- An HTML attachment was scrubbed... URL: From claudio.piciarelli at uniud.it Tue Jun 9 08:54:06 2026 From: claudio.piciarelli at uniud.it (Claudio Piciarelli) Date: Tue, 9 Jun 2026 12:54:06 +0000 Subject: Connectionists: IJDAR Special issue - computer vision systems for document analysis and recognition In-Reply-To: References: Message-ID: [Apologies if you receive multiple copies] Dear Colleagues, We are pleased to announce a Special Issue of the International Journal on Document Analysis and Recognition (IJDAR) focused on Computer Vision Systems for Document Analysis and Recognition. Submission website: https://link.springer.com/collections/jaeiejghgj ________________________________ Overview This special issue focuses on advancing the state of the art in Document Analysis from a computer vision and AI perspective, with particular emphasis on robustness, generalization, and multimodality. The aim is to bring together novel methodological and applied contributions that address document heterogeneity in terms of language, visual appearance, layout structure, writing styles, and semantic organization. We particularly encourage submissions that go beyond narrowly defined benchmarks and propose approaches capable of generalizing across document domains, formats, and acquisition conditions. ________________________________ Topics of Interest Research papers are solicited in, but not limited to, the following areas: * Robust document image analysis under varying layouts and writing styles * Learning in low-data and low-resource language scenarios * Multimodal document understanding combining visual, textual, and structural cues * Cross-domain and cross-format generalization * Analysis of historical and cultural heritage documents * Self-supervised, few-shot, and transfer learning for document tasks * Layout analysis, document structure understanding, and semantic modeling * Integration of document analysis into real-world industrial and societal applications By promoting cross-disciplinary interaction between computer vision, pattern recognition, NLP, digital humanities, and applied AI, this special issue aims to push document analysis toward more inclusive, generalizable, and practically deployable solutions. ________________________________ Important Date * Submission deadline: September 20, 2026 ________________________________ Guest Editors * Axel De Nardin - AVML lab, University of Udine, Italy * Silvia Zottin - AVML lab, University of Udine, Italy * Claudio Piciarelli - AVML lab, University of Udine, Italy * Gian Luca Foresti - AVML lab, University of Udine, Italy ________________________________ For additional information and submission guidelines, please visit the submission website above. If you have any questions, feel free to contact the guest editors. We look forward to your contributions. Best regards, The Guest Editors -------------- next part -------------- An HTML attachment was scrubbed... URL: From giuseppe.guarino at inrae.fr Tue Jun 9 11:21:25 2026 From: giuseppe.guarino at inrae.fr (Giuseppe Guarino) Date: Tue, 9 Jun 2026 15:21:25 +0000 Subject: Connectionists: [Conferences] MACLEAN Workshop at ECML PKDD 2026 (Deadline pproaching) Message-ID: <5FFCC5A5-AA27-41A6-9B97-979C9D8B776B@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 dhansel0 at gmail.com Tue Jun 9 12:05:01 2026 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 9 Jun 2026 18:05:01 +0200 Subject: Connectionists: REMINDER: World wide VVTNS series (6th season): June 10 2026 | Learning to Compose: Geometric Reorganization of Prefrontal Dynamics Enables Flexible Multi-Task Control | Alexandre Leon Mahrach IDIBAPS, Barcelona 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 Alexandre Leon Mahrach IDIBAPS, Barcelona on the topic of Learning to Compose: Geometric Reorganization of Prefrontal Dynamics Enables Flexible Multi-Task Control The lecture will be held on Zoom on June 10, 2026 at *11:00 am ET * > > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Complex behavior requires neural circuits to compose elementary operations?maintaining memories, evaluating sensory cues, suppressing premature actions?into context-appropriate programs. How prefrontal dynamics reorganize to support such composition when task demands compete within a shared neural population remains unclear. Here, we developed a dual-task paradigm in mice that combined a delayed paired-association (DPA) task with an olfactory Go/No-Go (GNG) discrimination embedded in the delay period. Mice learned the dual task rapidly, with early errors dominated by false alarms on unpaired DPA trials. Interference was asymmetric: Go cues disrupted performance more than No-Go cues, pinpointing premature action rather than memory failure as the central learning bottleneck. Population calcium imaging from medial prefrontal cortex (mPFC) showed that sample identity, choice tendency, and test identity occupied near-orthogonal subspaces of a shared low-dimensional manifold. As training progressed, sample representations remained stable while delay-period activity shifted away from the action-associated region. To probe the underlying circuit mechanisms, we trained low-rank recurrent neural networks on the same paradigm. Networks developed a circular manifold on which memories were stored as attractors at distinct angular positions, and test stimuli acted as compositional rotation operators, routing stored memories to appropriate actions. Dual-task training relocated mnemonic attractors to a position that a reduced geometric model identified as Pareto-optimal?revealing a fundamental tradeoff in which optimizing one task necessarily impairs the other. Consistently, optogenetic inhibition of ACC?mPFC projections during the delay displaced attractor geometry and selectively biased DPA versus GNG accuracy, matching the reduced model's prediction. Together, our results reveal how prefrontal circuits dynamically reshape attractor geometry through learning-dependent attractor fine-tuning, providing a mechanistic framework for how cortex resolves competing cognitive demands. *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 j.b.fisher at uni-paderborn.de Wed Jun 10 03:32:32 2026 From: j.b.fisher at uni-paderborn.de (Josephine Beryl Fisher) Date: Wed, 10 Jun 2026 07:32:32 +0000 Subject: Connectionists: =?windows-1252?q?CFP_4th_TRR_318_Conference=3A_Sc?= =?windows-1252?q?affolding_Social_XAI_16=9617_March_2027_in_Paderborn=2C_?= =?windows-1252?q?Germany?= In-Reply-To: References: <68dfc3fd5aff4f858f1aa05f42749062@uni-paderborn.de> <7a240c9b416ec700d8184a9b4cb9b09a@trr318.uni-paderborn.de> <9ab31d5c44014d72879aa73623d803b9@uni-paderborn.de> <3967f06cb66445ea912e3a7d1d058368@uni-paderborn.de> Message-ID: <5fa51243a99440678fac75fca67ed9da@uni-paderborn.de> Dear Colleagues, we are the TRR 318 Constructing Explainability and are hosting the 4th TRR 318 Conference: Scaffolding Social XAI which will be held 16?17 March 2027 in Paderborn, Germany. Website: https://trr318.uni-paderborn.de/konferenzen/scaffolding-social-xai We invite submissions of: Extended Abstracts: 2 pages - Deadline: 1 November 2026. _____ CfP: 4th TRR 318 Conference: Scaffolding Social XAI _____ https://trr318.uni-paderborn.de/konferenzen/scaffolding-social-xai 16?17 March 2027 in Paderborn, Germany 4th TRR 318 Conference: Scaffolding Social XAI We invite submissions to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. _____ Important Deadlines Extended Abstracts: (2 pages including references) deadline: 1 November 2026. Notification of Acceptance: 10 December 2026. _____ Speakers: tba _____ Topics _____ The interdisciplinary Collaborative Research Center TRR 318 Constructing Explainability explores the ways in which explanations are created, negotiated, and made meaningful across contexts. Previous editions have addressed dimensions of explanation, including understanding and contextualising. The 4th TRR 318 Conference turns to a perspective that has recently gained increasing attention in explainability research: Social XAI (sXAI), which conceptualises explainability as a social practice. Accordingly, the topic of the upcoming conference is "Scaffolding Social XAI." By scaffolding, we refer to the social and communicative supports that enable critical and interactive engagement with ideas, assumptions, technologies, and tools. This encompasses the ability to critically interrogate AI-generated outputs in practice (e.g., in educational contexts such as assessment or diagnosis), including emerging forms of XAI literacy as a situated competence. We invite contributions from a wide range of disciplines that address explainability as a social phenomenon, including work on: (a) explanatory practices in dyadic interaction; (b) explainability and interpretability in AI systems; or (c) explanation processes embedded in institutional and organisational settings. Topics of interest include (but are not limited to): * Explainability as a social and interactional practice; * Social XAI and critical perspectives on AI explainability; * Everyday explanations in dyadic or group interaction; * Explainability, interpretability, and transparency in human?AI or human?robot interaction; * The role of explanation in institutional, educational, clinical, or workplace settings; * Critical engagement with explanatory tools, technologies, and design practices; * XAI literacy and critical use of AI in professional practices (e.g., educational assessment, diagnosis, decision-making); * Theoretical, empirical, and methodological approaches to studying explanation across disciplines. _____ Submission Instructions Submissions are managed via EasyChair. Format Requirements: Please submit an extended abstract containing the following: * Length: 2 pages (including references). * Content: Title, author name(s), affiliation(s), email address(es), and 4?5 keywords. * Template: Please use the provided Word or LaTeX template. Presentation Formats: Accepted contributions may be presented as: * A 20-minute oral presentation * A poster Please indicate your preferred format within the submission. _____ Additional Information * Publication: Accepted papers will be published in the Proceedings of the 4th TRR 318 Conference. * Contact: Should you have any queries, please contact us at conference at trr318.uni-paderborn.de. General chairs: Amit Singh, Josephine B. Fisher, Katharina J. Rohlfing Program chairs: tbd ? Conference Organization SFB/TRR 318 CONSTRUCTING EXPLAINABILITY Universit?t Paderborn SFB/TRR 318 Zukunftsmeile 2 33102 Paderborn Phone +49 5251 60-4493 Email conference at trr318.uni-paderborn.de Web trr318.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 6089 bytes Desc: not available URL: From prkkpatel at gmail.com Wed Jun 10 04:24:04 2026 From: prkkpatel at gmail.com (KK Patel) Date: Wed, 10 Jun 2026 13:54:04 +0530 Subject: Connectionists: First Call for Papers - 8th icSoftComp2026 | Scopus-indexed Springer CCIS | Singapore | Hybrid Message-ID: Sincere apologies for the multiple postings. I'd appreciate it if you could distribute this CFP in your network. *Call for Papers: icSoftComp2026 * 8th International Conference on Soft Computing and its Engineering Applications Singapore || December 8-10, 2026 Web: https://icsoftcomp.org/ Paper submission link: https://meteor.springer.com/icSoftComp2026 =========== *Important Notes:* =========== - icSoftComp2026 follows a double-blind peer review system. - Conference proceedings by Springer CCIS Series (Scopus indexed) - The conference will be held in a hybrid mode: in-person and online - Authors of selected papers will be invited to submit extended article versions for a post-conference special issue of peer-reviewed, Scopus-indexed journals. ============== *About the conference:* ============== The 8th International Conference on Soft Computing and its Engineering Applications (icSoftComp2026) aims to provide an excellent international forum for researchers, academicians, students, and professionals in the areas of computer science and engineering to present their research, knowledge, new ideas, and innovations. It will exhibit an exciting technical program. It will also feature high-quality tutorials and workshops, industry panels and exhibitions, and keynotes from prominent research and industry leaders. We are now open for technical paper submissions, workshop/special session proposals, and tutorial proposals. ============ *Paper Submission:* ============ icSoftComp2026 solicits papers on all aspects of soft computing and its engineering applications for a smart and better world. =========== *Important Dates:* =========== Submission due: 30/06/2026 Acceptance Notification: 31/07/2026 Camera-ready Paper Submission due: According to the notification Last date of registration: According to the notification Conference dates: 08-10/12/2026 ============ *Paper Publication:* ============ The accepted and presented papers will be published as proceedings with Springer in their prestigious Communications in Computer and Information Science (CCIS) series. Indexed by Scopus, DBLP, Ei Compendex, Google Scholar, and Springerlink ============= *Journal Publication:* ============= Authors of selected papers will be invited to submit extended article versions for a post-conference special issue of peer-reviewed journals. Warm regards, -- K. K. Patel, Ph.D., Cell#: +91-8200103724 (WhatsApp) Email: kanupatel.mca at charusat.ac.in http://icsoftcomp.org/ https://isaiis.org/ Join the icSoftComp WhatsApp community Guest Editor: SN Computer Science Editor: icSoftComp : https://link.springer.com/conference/icsoftcomp -------------- next part -------------- An HTML attachment was scrubbed... URL: From caspar.schwiedrzik at googlemail.com Thu Jun 11 02:12:05 2026 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Thu, 11 Jun 2026 08:12:05 +0200 Subject: Connectionists: Deadline approaching: Postdoc (m/f/x) in computational modeling of high-dimensional visual category learning Message-ID: ! Deadline for application: 2026-06-14 ! 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 taro.toyoizumi at riken.jp Wed Jun 10 23:34:57 2026 From: taro.toyoizumi at riken.jp (Taro Toyoizumi) Date: Thu, 11 Jun 2026 03:34:57 +0000 Subject: Connectionists: Neural Networks : Volume 201 In-Reply-To: <0100019eb490f11a-af48e95c-a42b-409d-9c2a-ac89ae98a3d6-000000@email.amazonses.com> References: <0100019eb490f11a-af48e95c-a42b-409d-9c2a-ac89ae98a3d6-000000@email.amazonses.com> Message-ID: ________________________________ [wordmark] New Issue: Neural Networks New issue available on ScienceDirect [Cover Image Neural Networks] Neural Networks Volume 201, September 2026 Editorial Board Article Number 109213 Neural Networks Letters ________________________________ Predefined-time cluster lag synchronization of inertial neural networks: A dynamic event-triggered control Article Number 108940 Peng Liu, Yiwei Shao, Yin Sheng, Qiang Xiao, Jian Yong Retrieval-augmented and feedback-optimized large language model for recommendation Article Number 108954 Zhisheng Yang, Li Li Reviews ________________________________ Federated learning with noisy labels: A comprehensive and concise review of current methodologies and future directions Article Number 108889 Jia Dong, Rui Zhu, Xinyi Shang, Jing-Hao Xue Towards efficient language giants: A comprehensive survey on structural optimizations and compression techniques for large language models Article Number 108900 Gilhyeon Lee, Seonggeun Kim, Dongjun Lee, Kyungmin Goh, Hyun Kim Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608026003618-ga1.jpg] Privacy emotion recognition in artificial intelligence: Research frontiers, key challenges, and prospects Article Number 108927 Panjun Sun, Hao Yu, Wenjie Su, Yule Wu Cognitive Science ________________________________ Contrast sensitivity in multimodal large language models: A psychophysics-inspired evaluation Article Number 108903 Pablo Hern?ndez-C?mara, Alexandra Gomez-Villa, Jose Manuel Ja?n-Lorites, Jorge Vila-Tom?s, Valero Laparra, Jes?s Malo Neuroscience ________________________________ Learning from heterogeneous structural MRI via collaborative domain adaptation for late-Life depression assessment Article Number 108911 Yuzhen Gao, Qianqian Wang, Yongheng Sun, Cui Wang, Yongquan Liang, Mingxia Liu Complex-valued proximal neural network method for solving complex-valued mixed variational inequalities Article Number 108919 Yuanhua Wang, Siru Yin, Jun Li Neural feature alignment between large language models and brain activities: A knowledge-based framework for cross-modal analysis Article Number 108916 Zhejun Zhang, Wenqing Zhou, Shuo Zhang, Xinhang Li, Lin Zhang, Lei Li BIVIP: a competitive neural network for bilateral visuo-haptic processing Article Number 108960 Eleonore Federica Di Rosa, Aaisha Sheth, Jeffrey Min-In Yau, Laura Astolfi, Cristiano Cuppini FUGEA: Fused unified gradient ensemble for cross-architecture transferable attacks Article Number 108926 Guangliang Huang, Feng Ye, Tianqiang Huang, Chenhao Lu, Runze Chen, Quan Liu NEU: Continuous-time memory evolution for temporal interaction graph networks Article Number 108998 Yang Meng, Yuting Liu Comorbidity-aware transfer learning for neuro-developmental disorder diagnosis Article Number 108980 Xin Wen, Shijie Guo, Li Dong, Wenbo Ning, Yanrong Hao, Songhua Liu, Haojie Lian, Xiaobo Liu, Rui Cao Learning Systems ________________________________ PGMNO: A physics-Guided mamba neural operator framework for partial differential equations Article Number 108845 Yanan Guo, Junqiang Song, Xiaoqun Cao, Chuanfeng Zhao, Fukang Yin, Hongze Leng M3SPCL: Multi-stage multi-grained multi-view supervised prototypical contrastive learning Article Number 108878 Jingjing Tang, Yan Li, Saiji Fu, Yingjie Tian, Yu Bao BCMDA: Bidirectional correlation maps domain adaptation for mixed domain semi-supervised medical image segmentation Article Number 108877 Bentao Song, Jun Huang, Qingfeng Wang Quantification via gaussian latent space representations Article Number 108886 Olaya P?rez-Mon, Juan Jos? del Coz, Pablo Gonz?lez TFMPHGNN: Two-Fold multi-perspective heterogeneous graph neural network for sentiment analysis Article Number 108885 Victor Kwaku Agbesi, Wenyu Chen, Chukwuebuka J. Ejiyi, Gertrude Selase Gosu, Chiagoziem C. Ukwuoma, Olusola Bamisile Fast sparse supervised learning framework with BLinex loss function Article Number 108843 Tiantian Jiang, Guolin Yu, Jun Ma VGM-UNet: A hybrid visual graph deformable mamba with fourier neural operator U-Net for medical image segmentation Article Number 108890 Hang Li, Jianan Fan, Weidong Cai Bellman error centering Article Number 108896 Xingguo Chen, Yu Gong, Jinguo Ye, Chao Li, Shangdong Yang, Wenhao Wang ST-Align: A time series and text alignment framework for cross-subject multivariate time series classification Article Number 108913 Zhenghuang Wu, Tao Zhang, Ke Li, Yuangan Li rKAN: Rational Kolmogorov-Arnold networks Article Number 108888 Alireza Afzal Aghaei, Mehdi Hosseinzadeh, Kourosh Parand PSMEKL: Positional and structural multiple empirical kernel learning for node embedding Article Number 108898 Zonghai Zhu, Xinshuai Wei, Huanlai Xing, Li Feng, De Chen, Yuge Xu Dual contrastive learning with graph masking: A self-supervised framework for multi-view clustering Article Number 108894 Jian-Sheng Wu, Wen-Ting Li, Jun-Yun Wu, Weidong Min KSNet: Advancing autism prediction via KAN-based graph convolution and multi-source data fusion Article Number 108892 Chuang Wang, Dongyan Li, Sixiang Sun, Junli Liu, Yuanyuan Li Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608026003539-ga1.jpg] VLDUS: Vision-language distillated unseen synthesizer for zero-shot object detection Article Number 108899 Caixia Yan, Muyan Jiao, Nuohan Xue, Weizhan Zhang, Jiahao Wang, Xiaojun Chang, Feng Tian PRUNE: A patching based repair framework for certifiable and privacy-robust unlearning of neural networks Article Number 108897 Xuran Li, Jingyi Wang, Xiaohan Yuan, Peixin Zhang D3CNet: Long-term time series prediction based on dual decomposition and dual-channel hybrid network Article Number 108893 Bo He, Yunya Bo, Longbing Li MBDA: A modality-balanced framework with data augmentation and alignment for multimodal emotion recognition Article Number 108852 Cheng Cheng, Ruisi Shang, Zixu Wang, Huazhi Li, Ziyu Jia Twin contrastive interventional-cause hashing for unsupervised cross-modal retrieval Article Number 108902 Bo Li, Zhixin Li, Shuni Jiang, Canlong Zhang, Huifang Ma Dimension- adaptive latent representation learning with normalized hyperbolic tensor rank for multi-view clustering Article Number 108905 Gang Zhu, Lixin Han, Hong Yan, Jun Zhu Training instabilities favor flatter solutions in gradient descent Article Number 108874 Lawrence Wang, Stephen J. Roberts Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608026003357-ga1.jpg] Offline constrained policy optimization with safe anchoring Article Number 108865 Diyuan Hou, Longyang Huang, Pu Feng, Wenjun Wu Meta-path and context-aware learning for attribute completion in heterogeneous graphs Article Number 108895 Geng Chen, Yuan Feng, Lijun Zhang, Xiaoyu Bai, Qingyue Wang, Peng Wang Using a single actor to output personalized policy for different intersections Article Number 108909 Kailing Zhou, Chengwei Zhang, Furui Zhan, Wanting Liu, Yihong Li Relation-Centric knowledge graph generation for recommendation based on conditional diffusion model Article Number 108849 Lei Tian, Nan Li, Zhong Zhang, Wenqing Hou, Haiyan Liu, Xin Song, Kai Chen, Bin Zhou, Liqun Gao Dynamic-Aware video distillation: Adaptive temporal partitioning based on video semantics for edge device Article Number 108871 Yinjie Zhao, Heng Zhao, Yew-Soon Ong, Bihan Wen, Joey Tianyi Zhou CEMTNet: a cognitive emotion modulated network for multimodal depression detection Article Number 108907 Yujie Huo, Hongyu Gao, Weng Howe Chan, Ahmad Najmi Bin Amerhaider Nuar Beyond semantics: Exploiting propagation structures with dual-adapter LLMs for fake news detection Article Number 108904 Aojie Si, Shizhan Chen, Xiaobao Wang, Yueheng Sun, Jiaai Guo DAG-NAS : An explainable neural architecture search framework for reinforcement learning Article Number 108901 Taegun An, Changhee Joo Neural-network-based robust critic learning control with advanced value iteration for continuous-time dynamical systems Article Number 108928 Ao Liu, Ding Wang Fuzzy-driven broad learning system with class probability and density awareness for multi-view data Article Number 108914 M. Tanveer, M. Pathak, M. Sajid, A. Quadir, Priyamvada Dilated multi-Layer perceptron mixer for faster neural networks Article Number 108939 Van-Dung Hoang, Xuan-Thuy Vo, Kang-Hyun Jo Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608026004004-ga1.jpg] Hierarchical fusion and local-aware transformer for occluded person re-identification Article Number 108883 Haishun Du, Chuaner Huang, Linbing Cao, Jieru Li, Wenzhe Zhang Beyond pairwise dependence: A multi-filter fusion network for graph representation learning Article Number 108906 Hui Yan, Ling Guo, Guoguo Ai, Xin Li Maximum total correntropy-based broad learning system with robust M-estimator Article Number 108917 Tao Chen, Xi Chen, Wei Li EMM: Plug-and-play memory-bank sampling for contrastive recommendation Article Number 108948 Zhisheng Meng, Jian Wang, Lei Li, Wenxia Chen, Ziang He Biologically-inspired semi-supervised semantic segmentation for biomedical imaging Article Number 108925 Luca Ciampi, Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi CAPTR-GTP: Class-aware prompting and token refinement with graph token propagation for few-shot ViTs Article Number 108934 Mohammed Al-Habib, Zuping Zhang, Abdulrahman Noman Dual object graph and bisimulation metric for object-goal navigation in unfamiliar environment Article Number 108921 Yiyue Meng, Chi Guo, Aolin Li, Kang Zhou Multi-agent contrastive exploration via value decomposition discrepancy Article Number 108929 Siying Wang, Hongfei Du, Chiyu Cai, Yang Zhou, Wenyu Chen, Jinliang Shao, Yuhua Cheng SALSA-RL: stability analysis in the latent space of actions for reinforcement learning Article Number 108957 Xuyang Li, Romit Maulik Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608026004181-ga1.jpg] TrCLIP-VAD : Weak supervised video anomaly detection by improving CLIP training with text rewriting Article Number 108951 Shengjie Shen, Ziteng Guo, Yahui Li, Liejun Wang, Zhiqing Guo Boosting self-supervised multi-frame depth estimation with hybrid geometric-semantic constraints Article Number 108943 Jiaojiao Fang Quantum-enhanced learning: Leveraging von Neumann entropy for enhanced graph neural network performance Article Number 108958 Muhammad Awais, Octavian Adrian Postolache, Sancho Moura Oliveira Bi-directional attention network with drop aggregation for microRNA-disease association prediction Article Number 108942 Yan-Fang Yang, Yue Gao, Ming-Li Cui, Ying-Lian Gao, Yan-Li Wang, Jin-Xing Liu A robust multi-view support vector machine with the RoBoSS loss function Article Number 108937 Yash Arora, S.K. Gupta, M. Tanveer Box-enhanced context fusion for citation intent classification Article Number 108962 Jinwen Yang, Zhijuan Du Multi-scale pyramid fusion with overlap density attention module for crowd counting Article Number 108983 Avinash Rohra, Baoqun Yin, Aakash Kumar, Ajeet Kumar Bhatia, Hazrat Bilal, Yanzhe Wang, Munawar Ali CC-Net: A cross-hierarchical context-aware network for medical image segmentation Article Number 108950 Xiaoyan Zhang, Zheng Zhao, Weiqiang Sun, Yongqin Zhang, Chunlin Yu, Xiangfu Meng SDCA: Towards semantic-guided dual camouflage for deceiving human eyes and object detectors Article Number 108946 Haoqin Yuan, Xianyi Chen, Qi Cui, Fazhan Liu, Zhangjie Fu Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608026004077-ga1.jpg] Randomized forward mode gradient for spiking neural networks in scientific machine learning Article Number 108978 Ruyin Wan, Qian Zhang, George Em Karniadakis Consistency guided multiple plane image construction for novel view synthesis Article Number 108955 Yichang Lv, Shuo Zhang, Jiajun Chen, Chen Gao, Youfang Lin MEDiT: A mask-enhanced diffusion transformer model for fetal heart rate signal generation Article Number 108961 Yefei Zhang, Junhao Hu, Pengfei Jiao, Yanjun Deng, Yehui Chen, Zhidong Zhao Generalized robust loss function driven learning framework for pattern recognition Article Number 108945 Jun Ma, Fa Wang V-Sparse: From temporal-spatial visual semantic compression to coarse-to-fine interaction for text-video retrieval Article Number 108982 Xin Liu, Shibai Yin, Jun Wang, Wei Li, Xingyang Wang, Jiaxin Zhu, Yubing Shen, Yee-Hong Yang IRAW: Novel invisible and robust adversarial watermark perturbations for digital image protection Article Number 109011 Jinchao Liang, Yangcheng Chen, Shuwu Chen, Xiaolong Liu Hierarchical memory-based deep reinforcement learning in simulated survival environments Article Number 108987 Yuhu Cheng, Yuequn Zhang, C. L. Philip Chen, Xuesong Wang Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S089360802600448X-ga1.jpg] Effectiveness of static text adversarial methods on continuously updating models Article Number 108959 Zihao Yu, Jun Sun, Qidong Chen, Vasile Palade DSTFGCN: A dynamic spatial-temporal fusion graph convolution network for traffic flow forecasting Article Number 108989 Tianyi Pan, Xinyuan Zhou, Shiyong Lan, Wenwu Wang, Hongyu Yang, Zheng Li, Zhiang Hou, Yao Ren Neural network pruning and simultaneous feature and structure selection Article Number 108977 Xinyue Zhang, Hong Gu, Toby Kenney Mathematical and Computational Analysis ________________________________ A hierarchical and privacy-preserving intrusion detection framework for SAGIN-enabled IIot using graph neural networks and deep Q-learning Article Number 108876 Mueen Uddin, Sonia Khan, Fuhid Alanazi, Maha M. Althobaiti, Meshari Huwaytim Alanazi, Mohammad N. Alanazi Bipartite and H? bipartite synchronization for multiweighted coupled fractional-order delayed reaction-diffusion neural networks Article Number 108863 Ya-Nan Li, Jin-Liang Wang, Shun-Yan Ren, Tingwen Huang Discrete bidirectional memristive neural network-based hyperchaotic system and its FPGA implementation Article Number 108887 Chunhua Wang, Zhibo Gong, Quanli Deng Passivity and synchronization of fractional-order coupled neural networks with multiple weights: A PD approach Article Number 108861 Yu Li, Xiulan Zhang, Jiancheng Zhang, Jianwei Er, Jinde Cao, Heng Liu Fractional-order gradient descent learning for Elman neural networks Article Number 108880 He Li, Shanze Wang, Yangquan Chen, Yanmei Liu A novel dynamic signal Lemma for predefined-time stabilization of high-order nonlinear systems with dynamic uncertainties Article Number 108891 Jiawei Ma, Huaguang Zhang, Juan Zhang, Le Wang Attack-resilient adaptive distributed neurodynamic approach for solving noncooperative games Article Number 108920 Zhijie Chen, Jianing Chen, Xinwen Bu, Sitian Qin On the approximation capability of shallow and deep neural networks having smooth activations with respect to the Sobolev norm Article Number 108935 Hyeokjoo Park A discrete memristive cyclic Hopfield neural network with multi-cavity-like attractors and application in secure communication Article Number 108953 Gang Yang, Chunhua Wang, Quanli Deng Dynamic event-triggered optimized control for nonlinear multi-agent systems via reinforcement learning Article Number 108976 Xiaoli Ruan, Shaowei Liang, Tao Peng, Ailong Wu, Ze Tang, Jianwen Feng Causal discovery by continuous optimization with weighted superstructure Article Number 108974 Mingjie Chen, Yewei Xia, Hao Zhang, Ruxin Wang, Yuzhong Peng, Jihong Guan, Shuigeng Zhou Energy-preserving shifted bipartite graph learning for unpaired large-scale multi-view clustering Article Number 108952 Xingfeng Li, Jiawei Peng, Zhongwen Wang, Yuan Sun, Yuying Zhu, Fei Zhou, Zhenwen Ren JSPR-Net: A Jacobian-stabilized physics-informed residual neural network for breast cancer detection and fractional-order disease progression modeling Article Number 108944 Vetrivel Muthupandi, Arul Joseph Gnanaprakasam, Pandit Vivek Kumar Pandey Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608026004053-ga1.jpg] Engineering and Applications ________________________________ Position-Sensitive painterly image harmonization Article Number 108872 Han Guo, Bolun Zheng, Qianyu Zhang, Canjin Wang, Yayun Wang, Heng Jin, Qiankun Li, Jun Yin, Guodao Zhang, Zongpeng Li Multi-modal contrastive learning based on molecular and textual data for drug response prediction Article Number 108882 Meiyu Duan, Xiaobo Li, Xiaodi Hou, Yanchen Qu, Hai Cui, Yijia Zhang Generative binary memory: Pseudo-Replay class-Incremental learning on binarized embeddings Article Number 108884 Yanis Basso-Bert, William Guicquero, Anca Molnos, Romain Lemaire, Antoine Dupret Improving human motion generation based on a head-mounted display and its controllers via noise-augmented motion data and the recurrent inference model Article Number 108918 Zihao Guo, Jingbo Zhao Graphical abstract [http://ars.els-cdn.com/content/image//1-s2.0-S0893608026003795-ga1.jpg] Dual CNN and ViT experts fusion for open set recognition Article Number 108910 Kai Ding, Yu Mao, Hui Chen, Yaojin Lin A spatiotemporal wind power forecasting method based on dual-view graph fusion and dual-granularity residual learning Article Number 108923 Zhiyong Fan, Zhengdong Jiang, Min Xia, Shuai Zhang, Ying Yan Towards robust deep reinforcement learning-based quantitative trading with neuro-symbolic trend analysis Article Number 108924 Junzhe Jiang, Zhiming Li, Aixin Cui, Xiao Zhou, Bo Li, Dongning Sun Integrating perceptual cues with mixture-of-experts for low-light image restoration Article Number 108915 Yuezhou Li, Yuzhen Niu, Huangbiao Xu, Rui Xu, Yuqi Hu, Hui Da, Wenxi Liu, Lifang Wei SEA: Hierarchically searching efficient adapters for pre-trained models Article Number 108912 Shun Lu, Fangyuan Mao, Junkun Chen, Jilin Mei, Chen Min, Yan Xing, Yu Hu Towards continual low-light image enhancement through causal inference Article Number 108947 Fan Ji, Hao Li, Jiangmeng Li, Xiongxin Tang, Fanjiang Xu Multimodal-guided prototype calibration and temporal coherence-aware hybrid matching for few-shot action recognition Article Number 108930 Yiyuan An, Yingmin Yi, Yiwei Yuan, Rui Yu, Qiming Xue MARSNet: A convolutional attention residual shrinkage network for RNA-protein binding site prediction Article Number 108922 Wei Wang, Chengyu Xing, Zhenxi Sun, Xianfang Wang, Guangsheng Wu, Yun Zhou FA-Mamba: frequency attention driven Mamba for multimodal remote sensing classification Article Number 108931 Danian Yang, Daixun Li, Jitao Ma, Yibing Lu, Yunsong Li, Leyuan Fang, Weiying Xie High-resolution image deraining via dual-branch features interaction and fusion Article Number 108936 Weilong Huang, Jiaxue Mei, Tao Yan, Yinghui Wang, Xiaojun Chang Read the full issue on ScienceDirect -------------- next part -------------- An HTML attachment was scrubbed... URL: From stm at socio.org.uk Thu Jun 11 02:40:20 2026 From: stm at socio.org.uk (STMet) Date: Thu, 11 Jun 2026 06:40:20 +0000 (UTC) Subject: Connectionists: Real-Time Intelligent Systems 2026 Message-ID: <213199834534830080.0.v2@titan.email> An HTML attachment was scrubbed... URL: From giovanni.stanco at unina.it Thu Jun 11 05:30:29 2026 From: giovanni.stanco at unina.it (GIOVANNI STANCO) Date: Thu, 11 Jun 2026 09:30:29 +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 suashdeb at gmail.com Thu Jun 11 06:17:22 2026 From: suashdeb at gmail.com (Suash Deb) Date: Thu, 11 Jun 2026 15:47:22 +0530 Subject: Connectionists: Extn of deadline, ISCMI 2026 (Vienna, Austria) Message-ID: Dear esteemed colleagues, This is to share with you that on numerous requests from the peers, the deadline for submissions of manuscripts for 2026 13th ISCMI has been extended till 20th July, 2026 https://www.iscmi.us/ Hope to receive, if not already, your research findings in the coming days for possible presentations at ISCMI 2026. Thank you and with kind regards, Suash Deb General Chair, ISCMI 2026 -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.C.Bowes at sussex.ac.uk Thu Jun 11 11:26:45 2026 From: S.C.Bowes at sussex.ac.uk (Simon Bowes) Date: Thu, 11 Jun 2026 15:26:45 +0000 Subject: Connectionists: AISB26 @Sussex, final chance for early bird rate Message-ID: [AISB Convention 2026 Banner] AISB Convention 2026 Final extension to the early bird rate till 12th June! 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 ? see links for detailed schedule of talks in each symposium 1st July Keynote: Anil Seth (Professor of Cognitive and Computational Neuroscience, University of Sussex): The case against conscious AI * Explainability and Transparency in AI (XTAI-2026) (https://xtai-symposium.github.io/) * AI, Consciousness and Ethics (https://aice-symposium.github.io/ ) * 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://aice-symposium.github.io/) * 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/) 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 (Early bird rate until 12th June) 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: image001.jpg Type: image/jpeg Size: 90450 bytes Desc: image001.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 198942 bytes Desc: image002.jpg URL: From maria.pavlovic at tuebingen.mpg.de Fri Jun 12 02:54:51 2026 From: maria.pavlovic at tuebingen.mpg.de (Pavlovic, Maria) Date: Fri, 12 Jun 2026 06:54:51 +0000 Subject: Connectionists: Call for registration and contribution to Systems Vision Science (SVS) Virtual Symposium: July 31, 2026 In-Reply-To: References: Message-ID: <6cc14674b80a480f810c93ad1e552476@tuebingen.mpg.de> Systems Vision Science (SVS) Virtual Symposium: July 31, 2026, 14:00-18:00 German Time as the end of the Systems Vision Science Virtual Summer School, which is a virtual edition of the onsite summer schools and symposiums of SVS. We invite free registration and contribution for symposium participation and/or contribution. -------------------------------- The symposium will include two keynote speeches (30 min each): ?Corticocortical Feedback as a Unifying Mechanism for Visual Perception and Learning? by Wu Li, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University "Using illusions and art to understand the visual brain" by Patrick Cavanagh, Center for Vision Research, York University and invited and contributed speeches (15 minutes each). Invited speakers include Daniel Anthes, Marlene Behrmann, Marisa Carrasco, Winrich Freiwald, Richard Krauzlis, Lisa Kroell, and Zygmund Pizlo. The presentation topics will be any of Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover and investigate functions and algorithms for vision in various brain regions and their implementations in neural circuits. -------------------------------- To contribute or register, please fill out our registration form ( which has an option to submit an abstract for contribution). Deadline for submitting contribution is July 12, 2026, and registration without contribution is open until capacity is reached. The zoom link for joining the symposium will be sent to the registrants. Please direct inquiries to svs.summerschool at tue.mpg.de . -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Vladislav Aksiotis Kai Rothe Max-Planck-Institute for Biological Cybernetics University of T?bingen -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5413 bytes Desc: not available URL: From fadoua.drira at enis.tn Thu Jun 11 18:21:25 2026 From: fadoua.drira at enis.tn (FADOUA DRIRA) Date: Fri, 12 Jun 2026 00:21:25 +0200 Subject: Connectionists: =?utf-8?q?=5BSEIS_2026=5D_Call_for_Participation_?= =?utf-8?b?4oCTIFNFSVMgMjAyNiB8IEp1bmUgMjDigJMyMiwgSGFtbWFtZXQsIFR1?= =?utf-8?q?nisia?= Message-ID: Dear all, ? * Join us at SEIS 2026!* We are delighted to invite you to participate in the *Software Engineering International Summit (SEIS 2026)*, a premier international event dedicated to advancing research and innovation in *software engineering and artificial intelligence*. ? *Dates:* June 20?22, 2026 ? *Venue:* Hammamet Garden Hotel, Hammamet ? Tunisia SEIS 2026 will bring together *researchers, academics, industry experts, and students* from around the world to explore the future of software engineering in the era of AI. ? *Why participate?* - ? *Hands-on workshops* led by international experts - ? *Coaching sessions* to support your innovative ideas - ? *C**ompetition* on AI & software engineering challenges - ? *Doctoral Consortium* with personalized feedback from experts - ? *High-value networking* with academia and industry leaders ? This summit is more than an event ? it is a *collaborative ecosystem* where ideas evolve into impactful solutions, research meets industry, and future partnerships are built. ? *What to expect?* Three exciting days packed with: - Inspiring talks - Interactive workshops - Competitions & innovation challenges - Networking sessions - Activities for all levels ? *Register now:* https://forms.gle/gDFxo8xQRzKUHZDEA ? *Discover everything about SEIS 2026:* https://seis.ieee.tn We look forward to welcoming you in Hammamet! Kind regards, ---- Fadoua Drira HdR, PhD, Eng., Associate Professor *https://regimlab.org/public/members/profile/52/FadouaDrira * ----------------------------------------------------------------------------------------------------------------------------------------------- Associate Professor at ENIS: National Engineering School of Sfax, University of Sfax, Department of Computer Engineering and Applied Mathematics, http://www.enis.rnu.tn/ Member of REGIM Lab.: REsearch Groups in Intelligent Machines (LR11ES48) *regimlab.org * ----------------------------------------------------------------------------------------------------------------------------------------------- IEEE Senior Member ---------------------------------------------------------------------------------------------------------------------------------------------- Address: ENIS-DGIMA-DEPT Informatique, Route Soukra Km 3.5 B.P. 1173 ? 3038 Sfax ? Tunisia Email: *fadoua.drira at ieee.org * / *fadoua.drira at gmail.com * Tel : 21 413 136 ----------------------------------------------------------------------------------------------------------------------------------------------- Sans virus.www.avast.com <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> -------------- next part -------------- An HTML attachment was scrubbed... URL: From Justus-bulk at Piater.name Fri Jun 12 04:03:42 2026 From: Justus-bulk at Piater.name (Justus-bulk at Piater.name) Date: Fri, 12 Jun 2026 10:03:42 +0200 Subject: Connectionists: [Jobs] 1 Postdoc and 3 PhD Students in Robot Learning at U. Innsbruck, Austria Message-ID: <87tsr8kwwx.fsf@uibk.ac.at> We are hiring one postdoc and one PhD candidate starting 2026-08-15 or as soon as possible thereafter. We will study both intrinsically- and extrinsically-motivated learning of predictive and explanatory models and policies for solving robotic manipulation tasks. The emphasis is on learning abstract concepts of how manipulators, objects, parts and tools interact. This research is part of the new FWF Emerging Field "Comparative Ecological Innovation Styles" (CEIS) in collaboration with four partners in cognitive biology and behavioral ecology. We will investigate how embodiments, environments and experience give rise to innovative problem-solving behaviors in animals and robots. In addition we have two open University Assistant positions for PhD candidates. These involve minor teaching requirements but are not attached to any specific project. The research topics are negotiable but will generally be related to CEIS. Required Qualifications: - MSc/PhD degree in computer science or other relevant area - Competitive publication record in relevant areas (postdocs only) - Excellent academic record - Strong background in machine learning in the context of robotics - Strong mathematical and programming skills in Python and ideally also in C++; experience with ROS is a plus - Excellent written and oral communication skills in English - Enthusiasm for interdisciplinary research, team spirit and independent problem-solving skills For more information and how to apply see https://iis.uibk.ac.at/jobs. For full consideration, apply by 2026-07-03. Regards, Justus Piater ELLIS Fellow -- University of Innsbruck, Austria Head, Digital Science Center https://www.uibk.ac.at/disc/ Computer Science, Intelligent and Interactive Systems https://iis.uibk.ac.at/ From cis-ram2026 at outlook.com Fri Jun 12 06:11:07 2026 From: cis-ram2026 at outlook.com (CIS-RAM 2026) Date: Fri, 12 Jun 2026 10:11:07 +0000 Subject: Connectionists: [Meetings] Call for Competition Proposals: CIS-RAM 2026 Competition Track Message-ID: We are pleased to announce the inaugural Competition Track at the Conference on Intelligent Systems for Robotics and Manufacturing (CIS-RAM) 2026. Through this call, we invite proposals for competitions on topics relevant to the CIS-RAM community. We particularly encourage submissions that address clear scientific questions and have a positive societal impact, especially those leveraging embodied AI to support underserved communities. Proposals focusing on the evaluation of embodied AI models and agentic systems are also welcome. Beyond societal benefit, we seek competitions in areas where embodied AI can advance other scientific, technological, or business domains pertinent to CIS-RAM. Our goal is to attract a diverse, interdisciplinary audience to the CIS-RAM 2026 Competition Track. Each accepted competition will feature a dedicated in-person workshop during the conference, where participants and organizers can present and discuss results. All submissions must adhere to the CIS-RAM Code of Conduct and Code of Ethics. The Competition Track follows the CIS-RAM Main Track policies (including those on plagiarism, use of AI agents/models, and anti-collusion), except where specific Competition Track rules (e.g., page limits, review process) are stated. Proposal Submission Competition proposals must be submitted via CIS-RAM_competitions at outlook.com ? The main text is limited to eight (8) content pages, including all figures and tables. Additional pages for references and team biographies are allowed. Review and Selection Process A dedicated program committee of experts in embodied AI and challenge organization will review proposals. Evaluation criteria include: ?Scientific Relevance and Tasks:? Competitions should be driven by clear scientific questions. We will assess impact, originality, and relevance to CIS-RAM. Tasks with humanitarian/societal impact or focused on evaluating embodied AI/agentic systems are highly encouraged. For humanitarian projects, involvement of the relevant community is strongly advised, and "parachute science" is discouraged. Ethical considerations and potential risks must be addressed. ?Evaluation Protocol:? We will evaluate task feasibility, availability of baselines, soundness of evaluation criteria, and clarity/fairness of rules. The evaluation should align with real-world performance and the core scientific question. Proposals should outline measures (e.g., standardized environments) to ensure fairness, especially for less-resourced teams. ?Data:? For data-driven competitions, proposals must describe the dataset(s) in detail?including quality, size, representativeness, and suitability for training/testing. Potential data leakage must be addressed. Data must be freely available; open data is encouraged. ?Logistics:? The competition schedule, plans for attracting participants (including groups underrepresented at CIS-RAM), and the organizers' experience and diversity will be considered. The review process is single-blind; submissions should include organizer names and affiliations. Proceedings Accepted competitions in 2026 have the following option for publishing post-competition analyses: ?Submission to a dedicated CIS-RAM proceedings Important Data * Competition Proposal Submission Deadline:? June 28, 2026 * Acceptance Notification:? August 1st, 2026 * CIS-RAM 2026 Conference (Competition Track):? August 5-8, 2026 Additional Information ?Organizers should propose a detailed timeline, allowing participants sufficient time to develop high-quality entries. It is recommended to launch competitions by June 2026 and conclude by the end of July 2026 at the latest. ?Organizers are expected to provide brief, regular updates to the Competition Chairs. ?For assistance or suggestions regarding competition platforms, please contact the Competition Chairs. Competition Chairs Dongyan Huang, Tsinghua University, CN Jinwu Gao, Jilin University, CN Shan Luo, King's College London, UK Jing Xiong, Shenzhen Institute of Advanced Technology, CAS?CN -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: IEEE CIS-RAM CFC template.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 53851 bytes Desc: IEEE CIS-RAM CFC template.docx URL: From paul.linton at columbia.edu Fri Jun 12 20:25:26 2026 From: paul.linton at columbia.edu (Paul Linton) Date: Fri, 12 Jun 2026 20:25:26 -0400 Subject: Connectionists: Computational Consciousness Science - 1 August 2026, New York Message-ID: <2BA51DAE-443D-488E-A29E-E60821611984@columbia.edu> We are pleased to announce a one-day meeting (a CCN 2026 satellite event) on 1st August 2026 in New York: COMPUTATIONAL CONSCIOUSNESS SCIENCE A recent explosion of interest in computational models of consciousness comes both from our attempts to extend computational models of perception and cognition to their subjective aspects and from the importance of consciousness to the ethical implications of AI models. This satellite meeting examines computational approaches from the points of view of philosophy, psychology, and neuroscience, with keynotes from David Chalmers (philosophy), Marisa Carrasco (psychology), and Biyu He (neuroscience). There will also be research talks from faculty, postdocs, and PhDs highlighting the contribution of computational models to our understanding of change-blindness, iconic memory, spatial perception, and visual illusions, as well as helping us to develop new measures of conscious awareness. A closing panel discussion will explore new and future directions for the emerging discipline of computational consciousness science. Date: Saturday, August 1, 2026 Location: NYU Department of Philosophy, 5 Washington Place, New York, NY 10003 Registration: Free but please register because we have to give a list of attendees to security. Link for details and registration: https://computationalconsciousness.github.io/ ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CompConscSci.jpeg Type: image/jpeg Size: 89063 bytes Desc: not available URL: From yawu at fiu.edu Fri Jun 12 15:04:53 2026 From: yawu at fiu.edu (Yanzhao Wu) Date: Fri, 12 Jun 2026 19:04:53 +0000 Subject: Connectionists: [CFP][Deadline Extended] IEEE CogMI 2026, San Jose, CA, USA (Nov. 4-6) - Submission Due June 15 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 15, 2026 (extended) Notification of Acceptance Date: August 8, 2026 Camera Ready Due: August 22, 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. Submission Rounds: There are two submission rounds to IEEE CogMI 2026. Authors who submit in the first round may revise and resubmit their papers in the second round if their papers are not accepted initially. It is also possible to submit directly to Round 2; however, in that case, there won't be an opportunity for resubmission. Use of Large Language Models (LLMs) and Generative AI Tools Authors should note the following key points regarding use of large language models (LLMs) and other generative AI tools in the preparation of their submissions. These points are meant to complement IEEE's policy on AI generated text, available here: IEEE Submission Policies. * Authorship is restricted to humans: Only human individuals may be listed as authors. Generative AI tools may not be credited as authors or co-authors. All listed authors must take full responsibility for the content of the submission. * Disclosure of substantive use: The use of LLMs or other generative AI tools to generate or materially affect substantive content should be disclosed at the time of submission in an ?AI Disclosure? statement placed at the end of the paper. The disclosure should identify the tool used and indicate which parts of the submission were generated or materially influenced. If such tools play a material role in the research methodology, analyses, experiments, or implementation, this role should also be appropriately described in the body of the paper. Authors may use the following format (if applicable): AI Disclosure: We used [Tool Name] to assist with [Brief Description of Use]. The tool materially affected [Sections X and Y]. More details can be found in [Section Z]. The authors verified the correctness and originality of all content including references. * Use of AI tools solely for minor copy-editing or grammar/clarity improvements applied to the authors' own text does not require disclosure. * Authors are fully responsible for their submissions: Authors are accountable for the accuracy, originality, and integrity of all material in their paper, including any content produced with AI assistance. This includes responsibility for errors, plagiarism, misrepresentation, or fabricated content (e.g., ?hallucinatory? references) generated by such tools. Potential concerns regarding compliance with these principles will be handled in accordance with applicable IEEE publication policies and conference procedures. Failure to comply with the disclosure policy or submissions that contain falsified, hallucinated or plagiarized contents may result in the submission being desk rejected at any stage during the submission. 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 dhansel0 at gmail.com Sun Jun 14 05:08:06 2026 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 14 Jun 2026 11:08:06 +0200 Subject: Connectionists: Fwd: [seminar.wwtns] World wide VVTNS series (6th season): June 17 2026 | From microcircuits to cortex-wide networks: connectivity and information-flow underlying goal-directed behavior| Arseny Finkelstein, Tel Aviv University In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture Arseny Finkelstein Tel Aviv University on the topic of >From microcircuits to cortex-wide networks: connectivity and information-flow underlying goal-directed behavior The lecture will be held on Zoom on June 17, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Regulation of information flow in neuronal circuits is fundamental to flexible, goal-directed behavior. In this talk, I will discuss how cortical circuits organize neural activity and connectivity across spatial scales, from local microcircuits to distributed cortex-wide networks. Using naturalistic multidirectional reaching in mice, combined with large-scale calcium imaging and causal connectivity mapping of >20,000,000 neuronal pairs, we identified connectivity motifs and population dynamics underlying goal-directed behavior. I will first describe the organizational principles of the motor cortex, where neurons are arranged into functional mini-columns with recurrent connectivity motifs linked to task-related activity, and discuss the potential computational advantages of this architecture. I will then show how these principles extend to larger spatial scales. Imaging ~1,000,000 neurons across 10 cortical regions revealed high-dimensional local population activity patterns alongside coordinated cortex-wide dynamics mediated by synchronized inter-areal communication. These distributed network dynamics supported high-dimensional representations of short-term memory for target location. Together, these findings reveal how cortical networks are organized across spatial scales to support cognition. *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 joseph.austerweil at gmail.com Mon Jun 15 06:23:48 2026 From: joseph.austerweil at gmail.com (Joseph Austerweil) Date: Mon, 15 Jun 2026 19:23:48 +0900 Subject: Connectionists: =?utf-8?q?Designing_in_the_age_of_AI_=E2=80=94_SD?= =?utf-8?q?S_Admissions_Spring_2027=2C_Open_Now!?= Message-ID: Dear Colleagues, Admissions are now open for the Master?s and PhD programs at the School of Design & Science (SDS), Chiba Tech, for Spring 2027. SDS is an English-language, antidisciplinary graduate school based in the Chiba?Tokyo area. Our program is designed for people who want to create evidence-based products, services, and systems that have real-world impact. We begin with the premise that AI is no longer just a tool. It is becoming a foundational medium for research, design, and social transformation. Based in Japan, where there is a distinctive openness to integrating new technologies across society, SDS gives students the opportunity to explore how AI is built, applied, governed, experienced, and diffused through real communities and institutions. To learn more, please see the booklet attached to this email. It offers an inside look at who we are, who teaches at SDS, and what the program experience is like. One of our first-year students, Kotaro Iwata, reflected on his second project this way: ?For anything the parser can catch, AI finds the bug instantly. For ?the code runs, no error appears,? AI misses it too ? unless the human has first verbalized the expected behavior.? *Meet the Faculty* Mizuki Oka, Joe Austerweil, Sputniko!, Catharina Maracke, Ira Winder, Hiroki Kojima, Daum Kim, and Joi Ito *Online Info Session* Join us to meet our faculty, learn more about the curriculum and current projects, and ask any questions you have regarding the admissions process. *June 22: 10:00?11:00 JST | June 21: 21:00?22:00 EDT* Register here to participate: Registration Link *Apply*Pre-applications open on June 1, 2026 and close on June 30, 2026. Apply here: https://sds.chibatech.dev/apply *Questions?* Reply to this email or contact us at admissions at chibatech.dev. Warm regards, SDS Admissions School of Design & Science Chiba Tech -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: SDS Booklet.pdf Type: application/pdf Size: 3240027 bytes Desc: not available URL: From cristina.palmero at kcl.ac.uk Mon Jun 15 09:57:51 2026 From: cristina.palmero at kcl.ac.uk (Cristina Palmero Cantarino) Date: Mon, 15 Jun 2026 13:57:51 +0000 Subject: Connectionists: [CfP] CONTEXTUS Workshop @ ECCV 2026 Message-ID: [Apologies for cross-posting] We are pleased to invite submissions for our forthcoming CONTEXTUS Workshop: Understanding Multi-Actor Scene Interaction in Context, to be held in conjunction with ECCV 2026 in Malm?, Sweden. Real-world environments are inherently interactive and social. Humans rarely act in isolation: behavior unfolds through coordination, negotiation, competition, and collaboration, shaped by shared goals, roles, objects, and evolving contextual constraints. As embodied AI systems increasingly operate alongside people (assisting, collaborating, or communicating), they must move beyond isolated perception toward understanding interaction dynamics, social influence, anticipation, and causal structure in situated, multi-human/agent settings. The CONTEXTUS workshop addresses a fundamental next step for computer vision: transitioning from object- and action-centric recognition toward socially grounded, context-aware visual intelligence. While major advances have been achieved in detection, tracking, and action recognition, modeling relational dependencies, joint intention, temporal coherence, and how actions influence and are influenced by others within a scene remain as challenging problems. Context, whether spatial, temporal, social, or task-level, is central to meaningful interpretation. The workshop seeks to bring together researchers working at the intersection of context modeling, multimodal learning, embodied AI, and social intelligence. We encourage submissions presenting novel methods, datasets, benchmarks, theoretical insights, interdisciplinary perspectives, and real-world applications related to socially aware and context-driven scene understanding. Topics of interest include, but are not limited to: * Multi-human, human-object, and human-scene interaction understanding and generation, * Context-aware scene understanding and representation learning, * Context modeling, contextual memory, and long-term temporal reasoning, * Long-tail and open-vocabulary recognition using contextual and relational cues, * Context-aware prompting of multimodal foundation models, * Multimodal retrieval-augmented scene understanding, * Egocentric and exocentric multimodal perception, * Human behavior understanding and social signal processing, * Relational and causal reasoning in videos and multimodal data, * Knowledge injection, procedural knowledge modeling, and structured human-scene understanding, * Temporal reasoning, forecasting, and action anticipation, * Affordance learning and task-oriented scene reasoning, * Neuro-symbolic learning and structured reasoning approaches, * Explainability and interpretability in multimodal interaction models, * Foundation and world models for interaction understanding, * Embodied AI, human-AI interaction, and behavior-conditioned HCI, * Domain adaptation, generalization, robustness, and bias mitigation for social scene understanding, * Datasets and benchmarks for context-aware interaction understanding, * Applications of the above in robotics, healthcare, education, assistive technologies, and smart environments. Submission tracks We welcome submission to three tracks: 1. Novel track: novel work, double-blind peer reviewed. 2. Non-archival track: papers published in or accepted at other venues, to be presented during the workshop as posters to increase visibility and encourage further discussion. 3. Challenge track: novel work, double-blind peer reviewed, related to the ongoing ChaLearn UDIVA-HHOI Challenge associated with the workshop. Important dates 17 July: Novel track submission deadline 17 July: Non-archival track submission deadline 31 July: Challenge track submission deadline 7 August: Notification of acceptance 13 August: Camera ready 8-9 Sept: CONTEXTUS workshop Invited speakers Dima Damen (U. Bristol; Deepmind) Paul Liang (MIT) Juan Carlos Niebles (Stanford; Salesforce) Submission details and more information Please check the official CONTEXTUS Workshop website: https://lap.chalearn.eu/public/ECCV26-CONTEXTUS 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 (Istituto Italiano di Tecnologia) Hugo Jair Escalante (The University of Texas at El Paso & INAOE) Vittorio Murino (Istituto Italiano di Tecnologia & University of Verona) -------------- next part -------------- An HTML attachment was scrubbed... URL: From lorenzo.cazzaro at uni.lu Tue Jun 16 02:10:41 2026 From: lorenzo.cazzaro at uni.lu (Lorenzo CAZZARO) Date: Tue, 16 Jun 2026 06:10:41 +0000 Subject: Connectionists: [RAISE 2026 @ ESORICS] One week left to submit to the first round - Workshop on Real-world AI Security and Engineering for Cybersecurity Systems @ ESORICS 2026 Message-ID: The deadline for the first round of submissions is approaching! One week left. We look forward to receiving your submissions on real-world AI security and engineering for cybersecurity systems (details below). -- 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 Check our website for information about the second round of submissions with deadline July 20. 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 d.bush at ucl.ac.uk Tue Jun 16 04:44:57 2026 From: d.bush at ucl.ac.uk (Daniel Bush) Date: Tue, 16 Jun 2026 08:44:57 +0000 Subject: Connectionists: Two NeuroAI / Comp Neuro faculty positions at UCL Message-ID: Hello all We are currently recruiting two computational neuroscientists to join the UCL Division of Biosciences (at Lecturer / Assistant Professor or Associate Professor level) One candidate will be based in the department of Neuroscience, Physiology & Pharmacology (NPP) and the other in Cell and Developmental Biology (CDB) Please see further details here. The application deadline is 10th July 2026 Many thanks Dan ---------------------------------------------------- Dr. Daniel Bush GM01, Medical Sciences Building, Gower Street, London, WC1E 6BT Principal Investigator, UCL Human Electrophysiology Lab Associate Professor, UCL Department of Neuroscience, Physiology and Pharmacology Section Editor, PLoS Computational Biology -------------- next part -------------- An HTML attachment was scrubbed... URL: From N.Cohen at leeds.ac.uk Tue Jun 16 07:52:59 2026 From: N.Cohen at leeds.ac.uk (Netta Cohen) Date: Tue, 16 Jun 2026 11:52:59 +0000 Subject: Connectionists: Lecturership/Assistant Professor in Computational Neuroscience, Leeds UK Message-ID: Dear colleagues, The School of Computer Science at the University of Leeds is hiring two positions in Computational Neuroscience, Foundations of AI or Robotics. These are permanent positions at Lecturer/Assistant Professor grade. Application deadline: June 30, 2026 Full posting, reference: EPSCP1181 https://jobs.leeds.ac.uk/Vacancy.aspx?ref=EPSCP1181 For questions, please contact Netta Cohen at N.Cohen at leeds.ac.uk Please feel free to forward this announcement to anyone who might be interested. Best regards, Netta Cohen -- Netta Cohen Professor of Complex Systems School of Computer Science University of Leeds, LS2 9JT United Kingdom -------------- next part -------------- An HTML attachment was scrubbed... URL: From fxcosta at ucp.pt Tue Jun 16 06:58:42 2026 From: fxcosta at ucp.pt (Felipe Xavier Costa) Date: Tue, 16 Jun 2026 10:58:42 +0000 Subject: Connectionists: =?utf-8?q?=F0=9F=93=81_How_to_Submit_Your_Work_to?= =?utf-8?q?_COMPLEX_NETWORKS_2026?= Message-ID: Dear authors, Getting ready to submit to COMPLEX NETWORKS 2026? Here's everything you need to make the process easy. ? We accept: * Full Papers (max 12 pages): Published in Springer proceedings * Extended Abstracts (max 4 pages): Published in the Book of Abstracts (with ISBN) ? Submit here: https://cmt3.research.microsoft.com/COMPLEXNETWORKS2026/ ? Templates & FAQs: https://complexnetworks.org/submission/ ? Deadline: September 2, 2026 COMPLEX NETWORKS 2026 is the 15th edition of an international conference gathering researchers in network science, graph learning, complex systems, and computational social science, held this year in Granada, Spain, from December 2 to 4, 2026. Let your ideas shape the future of network science. Warm wishes, On behalf of COMPLEX NETWORKS 2026 Team Felipe Xavier Costa, PhD Postdoctoral Researcher https://fxcosta-phd.github.io/ [cid:0c744422-e177-4101-bdb6-c5ba89ff5a14] 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-wctgstdt.png Type: image/png Size: 207541 bytes Desc: Outlook-wctgstdt.png URL: From suashdeb at gmail.com Wed Jun 17 02:53:04 2026 From: suashdeb at gmail.com (Suash Deb) Date: Wed, 17 Jun 2026 12:23:04 +0530 Subject: Connectionists: Announcement for ISCMI 2027 (Fiji) Message-ID: Dear esteemed colleagues, As ISCMI 2026 approaches the second round of submissions of manuscripts after securing your overwhelming response for the 1st, it is time to look at 2027. Towards that, am pleased to share with you that the 14th edition of ISCMI will be held in Nadi, Fiji (Nicknamed "Mini India"). ISCMI 2027 is technically sponsored by IEEE Fiji Subsection and will be held in association with USP, Fiji and University of Canberra, Australia. As usual, I solicit your help in disseminating the info abt this event among your peers and doctoral students and motivate them to submit manuscripts and participate at ISCMI 2027. Am sending both the pdf & jpg files of the leaflet of the same. Thank you very much and with best regards, Suash Deb General Chair, ISCMI 2027 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 1000052765.jpg Type: image/jpeg Size: 3375301 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ISCMI 2027 CFP-6.16.pdf Type: application/pdf Size: 431423 bytes Desc: not available URL: From dhansel0 at gmail.com Tue Jun 16 16:12:12 2026 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 16 Jun 2026 23:12:12 +0300 Subject: Connectionists: REMINDER World wide VVTNS series (6th season): June 17 2026 | From microcircuits to cortex-wide networks: connectivity and information-flow underlying goal-directed behavior| Arseny Finkelstein, Tel Aviv University In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture Arseny Finkelstein Tel Aviv University on the topic of >From microcircuits to cortex-wide networks: connectivity and information-flow underlying goal-directed behavior The lecture will be held on Zoom on June 17, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > *Abstract: *Regulation of information flow in neuronal circuits is fundamental to flexible, goal-directed behavior. In this talk, I will discuss how cortical circuits organize neural activity and connectivity across spatial scales, from local microcircuits to distributed cortex-wide networks. Using naturalistic multidirectional reaching in mice, combined with large-scale calcium imaging and causal connectivity mapping of >20,000,000 neuronal pairs, we identified connectivity motifs and population dynamics underlying goal-directed behavior. I will first describe the organizational principles of the motor cortex, where neurons are arranged into functional mini-columns with recurrent connectivity motifs linked to task-related activity, and discuss the potential computational advantages of this architecture. I will then show how these principles extend to larger spatial scales. Imaging ~1,000,000 neurons across 10 cortical regions revealed high-dimensional local population activity patterns alongside coordinated cortex-wide dynamics mediated by synchronized inter-areal communication. These distributed network dynamics supported high-dimensional representations of short-term memory for target location. Together, these findings reveal how cortical networks are organized across spatial scales to support cognition. *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 maurizio.mattia at iss.it Tue Jun 16 09:56:25 2026 From: maurizio.mattia at iss.it (Mattia Maurizio) Date: Tue, 16 Jun 2026 13:56:25 +0000 Subject: Connectionists: Pre-FENS Workshop (July 6, Barcelona) on Computational Modelling of Dynamic Systems in Psychiatry Message-ID: Dear colleagues, On the occasion of the FENS Forum 2026 in Barcelona, we are delighted to invite you to a pre-FENS workshop titled: "Computational Modelling of Dynamic Systems in Psychiatry" which we are organizing on July 6th, 2026 at the Auditorium Esteve, CEK (Rossello 149-153, 08036 Barcelona, Spain). As neuroscience continues to generate increasingly rich datasets, both in basic research laboratories and in clinical settings, this workshop will focus on how computational modeling can bridge neural dynamics and clinical phenomena. Bringing together leading experts, we will discuss multi-scale and network approaches, from circuits to whole-brain models, to better understand psychiatric and neurological disorders and advance predictive, mechanistic frameworks with translational potential. Participation is free of charge, but registration is required to help us plan the event and ensure a smooth experience for all participants. You can register here: https://www.eventbrite.com/e/1989298988826. Given the proximity to the FENS meeting, we hope this workshop will offer a valuable opportunity for focused discussion and exchange within the community. We very much hope to welcome you in Barcelona. Best regards, Igor Branchi (ISS, Roma - Italy), Maurizio Mattia (ISS, Roma - Italy), Maria V. Sanchez-Vives (IDIBAPS, Barcelona - Spain) --- Maurizio Mattia, PhD Natl. Center for Radiation Protection and Computational Physics Istituto Superiore di Sanit? - Italian National Institute of Health Viale Regina Elena 299 - 00161 Rome (Italy) Phone: +39 06 4990 2513 - Skype: maurizio.mattia [https://www.iss.it/o/iss/images/ISS.png] Scegli l'Istituto Superiore di Sanit?. Dona il 5x1000 alla Ricerca Sanitaria Firma e inserisci il Codice Fiscale 80211730587 ________________________________ Per saperne di pi? clicca qui<[https://www.iss.it/-/l-iss-sostiene-i-giovani-ricercatori-con-il-5x1000-1]> -------------- next part -------------- An HTML attachment was scrubbed... URL: From carriecongrc at gmail.com Tue Jun 16 10:37:10 2026 From: carriecongrc at gmail.com (Ruichen Cong) Date: Tue, 16 Jun 2026 23:37:10 +0900 Subject: Connectionists: CFP: 2026 IEEE CyberSciTech / DASC / PICom / CBDCom Co-located Conferences - Melbourne, Australia, November 9-13, 2026 Message-ID: [Our apologies if you receive multiple copies of this CFP] 2026 IEEE CyberSciTech / DASC / PICom / CBDCom Co-located Conferences http://cyber-science.org/2026/ November 9-13, 2026, Melbourne, Australia Co-Located Conferences -------------------------- The 11th IEEE Cyber Science and Technology Congress (CyberSciTech 2026) The 24th IEEE International Conference on Pervasive Intelligence and Computing (PICom 2026) The 24th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2026) The 12th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2026) These conferences serve as a premier forum for sharing advances in cyber-related science, pervasive computing, dependable systems, big data, and cloud computing. IMPORTANT DATES ----------------------------------------------- Workshop/SS Proposal Due: Jul. 10, 2026 Regular Paper Submission Due: Jul. 15, 2026 WiP/Wksp/SS Paper Due: Aug. 15, 2026 Late Breaking Submission Due: Aug. 20, 2026 Author Notification: Sep. 01, 2026 Paper Registration Due: Sep. 24, 2026 Camera-ready Submission Due: Oct. 01, 2026 2026 IEEE CyberSciTech / DASC / PICom / CBDCom Co-located Conferences CALLS ---------------------------------- For original papers in: * Regular Tracks: 6 pages in minimum * WiP/Workshop/Special Session Tracks: 4 pages in minimum * LBI (Late Breaking Innovation) Track: 4-8 pages * LBI papers should present cutting-edge research across all CyberSciTech/DASC/PICom/CBDCom topics. LBI submissions will undergo a review process, and those accepted will be included in the conference program as either Regular or work-in-progress (WiP) papers, based on their quality, novelty, and completeness. * All accepted regular and work-in-progress (WiP) papers as well as workshop and special session (SS) papers will be published by IEEE CPS as Conference Proceedings (IEEE-DL and EI indexed). Selected high quality papers will be recommended to prestigious journal special issues. SUBMISSION GUIDELINES ---------------------------------- Authors are invited to submit their original work that has not previously been submitted or published in any other venue. Regular, work-in-progress (WiP), and Workshop/SS papers all need to be in IEEE CS format ( https://www.ieee.org/conferences/publishing/templates.html) Hosted by RMIT University, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: From akirapunk at gmail.com Tue Jun 16 10:39:02 2026 From: akirapunk at gmail.com (Nicola Catenacci) Date: Tue, 16 Jun 2026 15:39:02 +0100 Subject: Connectionists: =?utf-8?q?Reminder=3A_Karl_Friston_=E2=80=93_?= =?utf-8?b?4oCcVGhlIFBoeXNpY3Mgb2YgTW90aXZhdGlvbuKAnSDigJMgVG9tb3Jy?= =?utf-8?q?ow_=2817_June=2C_16=3A30_UCT+1=29?= Message-ID: [Apologies for multiple posts; please distribute to interested people] Dear colleagues, This is a friendly reminder that *tomorrow*, *17 June 2026 at 16:30 BST (UTC+1)*, Professor *Karl Friston* (University College London) will give the inaugural seminar of the *Intrinsically Motivated and Open-ended Learning (IMOL) Online Seminar Series*. Professor Friston will present a talk entitled: *"The Physics of Motivation". *More information about the talk, together with the online meeting link, is provided below. The seminar is open to all and may be of interest to researchers and students working in artificial intelligence, robotics, machine learning, neuroscience, cognitive science, and related fields. The seminar series is organised by the IMOL Community. To learn more about IMOL or get involved, visit http://www.imol-community.org/, subscribe to our mailing list (https://groups.google.com/g/imol-community), or join our Discord server (https://discord.gg/PBkuCnTfu). We look forward to seeing you tomorrow. 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 - *WEBSITE*: https://imol-seminars.github.io/ - 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 Francesco.Rea at iit.it Wed Jun 17 02:25:03 2026 From: Francesco.Rea at iit.it (Francesco Rea) Date: Wed, 17 Jun 2026 06:25:03 +0000 Subject: Connectionists: =?windows-1252?q?PhD_Position_on_Cognitive_Archit?= =?windows-1252?q?ectures_for_Social_Human=96Robot_Interaction_=28=40Istit?= =?windows-1252?q?uto_Italiano_di_Tecnologia_IIT=2C_Genoa=2C_Italy=29?= Message-ID: The COgNiTive Architectures for Collaborative Technologies (CONTACT) unit of the Istituto Italiano di Tecnologia (IIT) is offering 1 PhD position on the development of next-generation cognitive architectures for social robots. We are looking for motivated candidates interested in advancing adaptive, human-aware, and experience-driven robotic intelligence. The PhD position can be assigned on one of the following PhD Themes: > Experience-driven Cognitive Architectures for Lifelong Social Robots Develop architectures enabling robots (e.g., iCub, AlterEgo, UR5) to learn continuously from embodied interaction, build long-term knowledge, and acquire autonomous, adaptive behaviour over time (e.g., memory systems, action?effect learning, social understanding). > Adaptation in Cognitive Architectures for Human?Robot Interaction Design systems allowing robots to adapt to individual users, modelling both stable traits (e.g., expertise) and dynamic factors (e.g., context, affect, interaction history) to enable personalized, flexible social interaction. Both themes involve designing and validating novel software modules bridging cognitive science and robotics, with real-world experimental evaluation. Requirements: Background in Robotics, Computer Science, Bioengineering, Cognitive Science or related fields; strong problem-solving and time-management skills; Python/C++; ML/DL is a plus. Tutors: Dr. Alessandra Sciutti, Dr. Francesco Rea, Dr. Dario Pasquali, Prof. Giulio Sandini Contacts: francesco.rea at iit.it, alessandra.sciutti at iit.it, dario.pasquali at iit.it, giulio.sandini at iit.it Application Deadline: 9th of July 2026 For more information: https://biorob.phd.unige.it/sites/biorob.phd.unige.it/files/2026-06/PhD%20themes%2042_COGNITIVE.pdf How to apply: https://biorob.phd.unige.it/how-to-apply Prospective applicants are strongly encouraged to contact the tutors before applying. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cms at hum.ku.dk Tue Jun 16 07:20:26 2026 From: cms at hum.ku.dk (Camilo Miguel Signorelli) Date: Tue, 16 Jun 2026 11:20:26 +0000 Subject: Connectionists: Models of Consciousness Conference 2026 Message-ID: <2bd281f250f04ffc8a579a13f16e3ffc@hum.ku.dk> Dear Connectionist community, Happy to remind you about the seventh Models of Consciousness Conference, October 12 ? October 16, 2026, at the University of Copenhagen, Denmark. At the request of several colleagues, the abstract submission has been extended to the 5th of July, 2026. This year, we have a diverse program (check the website), including a unique bottom-up transdisciplinary exercise to clarify concepts and reach common methodological standards in the field. This collective community effort is the first of its kind: it is meant to shape the future of the field from the bottom up, i.e. from what actual consciousness scientists prioritise. This opportunity is open to everyone in our scientific community. We expect to be as inclusive as possible, incorporating most scientific perspectives in the field. Yet, to keep a human-sized, intimate conference, spots may eventually be limited and talks rigorously selected. We expect the deadline extension to help amplify the current awareness and relevance of this collective project. Join us to make history as a scientific collective! Deadlines * Talk Application Deadline: June 16, 2026 July 5, 2026 * Early Bird Registration Deadline: May 31, 2026 * Regular Registration Deadline: August 31, 2026 For news and updates, follow us on our media platforms: Linkedin Twitter/X Bluesky Abrazos, Camilo Miguel Signorelli On behalf of the organising committee and scientific advisory board. PhD. DPhil. Camilo Miguel Signorelli | ConScience CPAI Department of Communication University of Copenhagen Karen Blixens Plads 8 2300 K?benhavn S cms at hum.ku.dk -------------- next part -------------- An HTML attachment was scrubbed... URL: From gualtiero.volpe at unige.it Tue Jun 16 18:02:10 2026 From: gualtiero.volpe at unige.it (Gualtiero Volpe) Date: Wed, 17 Jun 2026 00:02:10 +0200 (CEST) Subject: Connectionists: ACM ICMI 2026 Call for Demonstrations and Exhibits Message-ID: <2018659196.18.1781647330704@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. 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/ You can submit two types of contributions: * 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 At least one author must register and attend the conference. Contacts: Micol Spitale & Josh Andres icmi2026-demo-exhibits-chairs at acm.org From Pavis at iit.it Tue Jun 16 07:32:28 2026 From: Pavis at iit.it (Pavis) Date: Tue, 16 Jun 2026 11:32:28 +0000 Subject: Connectionists: [Jobs] OPEN PHD CALL at the ITALIAN INSTITUTE OF TECHNOLOGY - AI for GOOD research line - Deadline July 9, 2025 In-Reply-To: References: Message-ID: LAST REMINDER! DEADLINE APPROACHING: JULY 9 @ NOON, ITALY time Don't miss it! ================================ PHD POSITIONS ON COMPUTATIONAL VISION AND MACHINE LEARNING AT IIT ? AIGO, IN COLLABORATION WITH UNIVERSITY OF GENOA, ITALY The Italian Institute of Technology ? IIT, www.iit.it ? in collaboration with University of Genoa, https://unige.it/en ? funds PhD scholarships on Computational Vision, Automatic Recognition and Learning. Research and training activities are jointly conducted between the DITEN Department of University of Genova http://phd-stiet.diten.unige.it/ and IIT infrastructures in Genoa, at the AIGO ? AI for Good - https://aigo.iit.it, led by prof. Vittorio Murino. ? RESEARCH TOPICS AIGO Themes range from A to M: Theme A: Multimodal scene understanding Theme B: Continual generalized category discovery, incremental learning Theme C: Multimodal Learning and Vision Language Model Adaptation for Temporal Medical Data Analysis Theme D: Reinforcement Learning with Curriculum Strategies in Multimodal Healthcare Data Theme E: Artificial Intelligence for Physical, Natural and Life Sciences Theme F: Discovery and mitigate bias in deep neural networks Theme G: Federated Learning by multimodal generative modeling Tema H: Biomedical imaging & Neuroimaging Tema I: Computer vision into the wild Theme L: Few-Shot and Zero-Shot Deepfake Detection in the Era of Foundation Models Theme M: Controlling Image Generation in Multimodal Models via Internal Representation More detailed information on the specific themes and indication of supervisors, at https://aigo.iit.it/documents/7137692/10960077/ResearchTopicsPhD2026_IIT-AIGO.pdf AIGO is a recently born research unit focusing on activities related to the analysis and understanding of images, videos and patterns in general, also in collaboration with other research groups at IIT. AIGO main focus is the learning with imperfect data, meaning in unsupervised, semi-supervised and self-supervised scenarios, noisy labeling, biased data and imbalanced classes. AIGO staff has a wide expertise in computer vision and pattern recognition, machine and deep learning, image processing, and related applications, especially, but not limited to, of biomedical/biological nature. Multimodal and generative learning are other keywords characterizing AIGO activities. For more information, you can also browse prof. Murino webpage, to see his activities and research. WHERE The PhD program on the listed topics will take place at the research line of IIT located in Genova, Italy ([www.iit.it]www.iit.it) Successful candidates will be part of an exciting and international working environment and will work in brand new laboratories equipped with state-of-the-art instrumentation. Excellent communication skills in English, as well as ability to interact effectively with members of the research teams, are mandatory. HOW TO APPLY Full information, official call and course description are available at? ITALIAN https://unige.it/dottorati-di-ricerca ENGLISH https://unige.it/en/students/phd-programmes Official call: https://unige.it/sites/unige.it/files/2026-06/Notice%20of%20competition%20DR%202458_5.06.2026.pdf Course: SCIENCE AND TECHNOLOGY FOR ELECTRONIC AND TELECOMMUNICATION ENGINEERING Curriculum: COMPUTATIONAL VISION, AUTOMATIC RECOGNITION AND LEARNING (CODE 11254) Annex A: https://unige.it/sites/unige.it/files/2026-06/Annex%20A.pdf The candidate can easily find the right curriculum to apply by searching the word "Murino" in the Annex A pdf document Apply for the position: https://unige.it/en/students/phd-programmes (follow Step 3) WHAT TO SUBMIT A detailed CV, a research proposal under one or more topics chosen among those above indicated, reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. Refer also to the indications stated in the course description document, above mentioned. IMPORTANT: In order to apply, candidates must prepare the research proposal based on the research topics above mentioned. Please, follow these indications to prepare it: https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf For FURTHER INFORMATION on the research topics contact Vittorio Murino at vittorio.murino at iit.it DEADLINE Deadline for application is July 9, 2025 at 12 PM (noon, Italian time/CEST) ============================ -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkoprinkova at yahoo.com Wed Jun 17 04:00:02 2026 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Wed, 17 Jun 2026 08:00:02 +0000 (UTC) Subject: Connectionists: AIMSA 2026: Deadline is approaching References: <1371044575.2536749.1781683202920.ref@mail.yahoo.com> Message-ID: <1371044575.2536749.1781683202920@mail.yahoo.com> Dear Colleagues, This is a gentle reminder that the deadline, June 30, for paper submission to AIMSA 2026 conference (https://www.aimsaconference.org/), is approaching. Please consider to submit your research. Traditionally the conference proceedings volume will be published after the conference in LNCS series. On behalf of Organizers,Prof. Nikola Kasabov, IPC chairProf. Petia Koprinkova-Hristova, organizing committee chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Thu Jun 18 08:22:55 2026 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Thu, 18 Jun 2026 14:22:55 +0200 Subject: Connectionists: PhD Position in Decision Making Under Uncertainty, Neuchatel, Switzerland Message-ID: We are looking for a PhD student in the following areas: - Reinforcement Learning - Approximate Bayesian Inference - Fairness and Privacy - Multi-agent systems = Position details= - Host Institution: University of Neuch?tel. - Location: Neuch?tel, Switzerland. - Application Deadline: 5 July 2026. However, applications will be reviewed as they come in. - Start Date: September 2026 or later upon agreement. - Duration: 4 years. - Group page: https://sites.google.com/site/christosdimitrakakis/ = Application procedure = To apply, send an email to christos.dimitrakakis at unine.ch with the subject 'PhD RLDM 2026' 1. A one-page letter explaining why you are interested in (a) one or more of those particular areas in the description of the position (b) how you fit in with the rest of the research group (c) your research interests more generally. 2. Your Master thesis, or other example of your research writing. 3. Grade transcripts. 4. A CV = Candidate Profile = - Required: A Master?s degree in computer science, statistics, mathematics, data science, artificial intelligence, economics, or a related field. - Required: Good background in AI/ML/statistics/mathematics. - Required: Fluency in English. - Good-to-have: Programming skills. -- Christos Dimitrakakis https://sites.google.com/site/christosdimitrakakis -------------- next part -------------- An HTML attachment was scrubbed... URL: From i.lin at ucl.ac.uk Wed Jun 17 08:08:55 2026 From: i.lin at ucl.ac.uk (I-Chun Lin) Date: Wed, 17 Jun 2026 12:08:55 +0000 Subject: Connectionists: New Fellowship Sponsorship Scheme at SWC/Gatsby Unit (UCL) Message-ID: <886C37A4-470A-4A0C-BF22-DC8CBF65DD2E@ucl.ac.uk> Dear all, The Sainsbury Wellcome Centre (SWC) and the Gatsby Computational Neuroscience Unit, based at University College London, have launched a Fellowship Sponsorship scheme. We are inviting expressions of interest from outstanding postdoctoral researchers seeking sponsorship to apply for external career fellowships, with the aim of establishing an independent research programme in the mechanistic theories of neural computation or learning. SWC and Gatsby Unit will sponsor the selected candidate to apply for an external career fellowship. Full details, including eligibility criteria and how to apply, are available on our website: https://www.sainsburywellcome.org/content/fellowship-sponsorship The closing date for expressions of interest is 16 July 2026. I would be very grateful if you could share this message with anyone who might be interested. Best wishes, Ali ALISON CRANAGE Research Communications and Engagement Manager Sainsbury Wellcome Centre 25 Howland Street, London W1T 4JG From d.bach at uni-bonn.de Thu Jun 18 06:57:49 2026 From: d.bach at uni-bonn.de (Dominik Bach) Date: Thu, 18 Jun 2026 12:57:49 +0200 Subject: Connectionists: PhD position in computational neuroscience and machine learning (caian, University of Bonn) Message-ID: <2d3af444-b104-4c01-aee2-316e0bb3f4ab@uni-bonn.de> The Centre for Artificial Intelligence and Neuroscience (caian), led by Prof. Dominik Bach at University of Bonn, is looking for a highly motivated PhD student to work on a cognitive-computational neuroscience project using machine learning methods, with intake in autumn 2026. The project aims to derive a data-driven understanding of human action planning. The role involves analysing a large existing corpus of human movement data collected using VR trackers, optical cameras, and motion-capture systems. The successful candidate will apply unsupervised machine-learning methods to identify structure in these data and develop computational models of observed action sequences. These models will be used to test hypotheses about human action planning. Applicants should have a MSc degree in computer science, computational (neuro)science, applied machine-learning, physics, or a related area, by the agreed start date of the position. Experience with Python and machine learning workflows is essential. The successful candidate will have experience in programming, solid knowledge of deep neural networks and applied statistics, and a demonstrated interest in understanding human behaviour. Prior research experience (e.g. conference papers, publications) is a plus. We offer interdiscplinary (neuroscience, computer science) supervision and collaboration, opportunities for high-profile publications and conferences, and training in machine learning and computational modelling. For details on the research setting see https://caian.uni-bonn.de/en To obtain details about the position and the application procedure, please reach out by sending a CV and 1-page motivation letter in a single PDF to Prof. Dr. Dominik Bach, d.bach at uni-bonn.de -- ----------------------- Professor Dominik R Bach Director | Centre for Artificial Intelligence and Neuroscience (caian) Transdisciplinary Research Area "Life and Health", University of Bonn Honorary Professor | UCL Queen Square Institute of Neurology, University College London Am Propsthof 49 53121 Bonn, Germany Tel.: +49 228/7369530 d.bach at uni-bonn.de https://www.caian.uni-bonn.de/en/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From chrha at itu.dk Fri Jun 19 12:57:39 2026 From: chrha at itu.dk (Christian Hardmeier) Date: Fri, 19 Jun 2026 16:57:39 +0000 Subject: Connectionists: Two PhD positions in Uncertainty Quantification and Communication for LLMs Message-ID: We have two open PhD positions in our project on Uncertainty Quantification and Communication for Large Language Models. Large language models (LLMs) have become immensely popular tools for laypeople and experts to find quick answers to any questions, including such that require specialized knowledge or complex reasoning. Their replies are far from always correct. Right or wrong, but often couched in a confident and persuasive tone, they may fool even experts into believing entirely false statements. Accurate and trustworthy LLM tools must know how much confidence a model has in its output and communicate this to the user in a nuanced and understandable form, respecting the principles of communication between humans. Our interdisciplinary project unites machine learning, natural language processing and linguistics. We study how LLMs acquire and verbally communicate (un)certainty, develop novel methods in Bayesian uncertainty quantification and apply them to LLMs in health applications. Using methods from linguistics, we emphasize targeted communication that gets interpreted correctly by diverse users, including laypeople and experts, and create LLMs that communicate their uncertainty according to humanlike standards. One position is in natural language processing at the IT University of Copenhagen, supervised by me and Jes Frellsen (DTU). In this position, you will develop methods to help LLMs express their uncertainty in a way that humans understand, while matching the perceived uncertainty to the model's internal state. Application deadline 24 June (very soon!). Apply here: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181880&DepartmentId=3439&MediaId=5 The second position is in machine learning at the Technical University of Denmark, supervised by Jes Frellsen and me. In this position, you will develop efficient machine learning methods to quantify the uncertainty of large language models. This position is new. Application deadline 7 August. Apply here: https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_2001/job/7592/?utm_medium=jobshare&utm_source=External+Job+Share Both positions include an extended research stay at the University of Edinburgh, the first with Prof. Hannah Rohde (Linguistics) and the second with Prof. Ivan Titov (NLP/machine learning). -- Christian Hardmeier Associate Professor, IT University of Copenhagen https://christianhardmeier.rax.ch/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From emanuele.nardone at unicas.it Sun Jun 21 02:30:54 2026 From: emanuele.nardone at unicas.it (Emanuele NARDONE) Date: Sun, 21 Jun 2026 08:30:54 +0200 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 tat at tchumatchenko.de Sat Jun 20 08:43:21 2026 From: tat at tchumatchenko.de (Tatjana Tchumatchenko) Date: Sat, 20 Jun 2026 14:43:21 +0200 Subject: Connectionists: Fully funded openings for international postdocs at the Tchumatchenko lab Message-ID: <5e8221ba-b095-4c4d-ad87-e9bda51a0e5b@tchumatchenko.de> Dear friends and colleagues, I am looking to recruit international postdoctoral fellows to my lab.? It would be great to attract scientists who didn't have yet exposure to the German neuroscience community and who would bring complementary expertise and perspectives. *Two postdoc positions (m/f/d) are available in the Tchumatchenko group.* The Tchumatchenko Group is seeking to attract two highly motivated postdoc candidates (0-5 years post PhD) to conduct research in the field of computational neuroscience. Prof. Tatjana Tchumatchenko was recently appointed a Henriette Herz scout at the Alexander von Humboldt foundation and is looking to attract two international postdocs though this funding scheme [1]. The ideal candidate will be an international, highly motivated, scientifically curious postdoctoral fellow with a strong work ethic and a PhD degree in life sciences, Neuroscience, Physics, Mathematics, Engineering or similar disciplines who looking to answer open question in computational neuroscience. Great social skills, excellent command of the English language and enthusiasm for working in a competitive interdisciplinary research team are essential. Potential scientific projects should lie either at the boundary between behavioral analysis and circuit neuroscience or at the boundary between molecular dynamics and circuit neuroscience:? how is the molecular dynamics organized across the brain and what are statistical differences across cell types? How can we design computational models and conduct data analysis at the level transcriptomes and proteomes to understand the implementation of physiological and behavioral conditions across the brain? How can we relate learning at the level of synapses and circuits to behavioral changes observed in animals? Can we identify behavioral states and link them to particular circuit activity states? Please send your application together with a cover letter, a CV with contact details from one academic reference and copies of all relevant degree certificates to tatjana.tchumatchenko at uni-bonn.de. Please include in your subject line ?AvH Application your name?. We are looking forward to your application! Duration and salary will be according to the fellowship scale of the Alexander von Humboldt foundation. Start date negotiable. [1] https://www.humboldt-foundation.de/bewerben/foerderprogramme/henriette-herz-scouting-programm Best wishes, Tatjana Tchumatchenko -- Tatjana Tchumatchenko Professor (W3) for Computational Neuroscience of Behavior Chair Bonn Center for Neuroscience co-Speaker TRA Life and Health __________________________________________________ Institute for Experimental Epileptology and Cognition Research Medical Faculty, University of Bonn Am Propsthof 49 53121 Bonn www.tchumatchenko.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Jun 20 05:39:08 2026 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 20 Jun 2026 11:39:08 +0200 (CEST) Subject: Connectionists: DeepLearn 2026: regular registration July 17 Message-ID: <1389291828.304357.1781948349063@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 ****************************************************** Regular registration: July 17, 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 cis-ram2026 at outlook.com Sat Jun 20 23:30:30 2026 From: cis-ram2026 at outlook.com (CIS-RAM 2026) Date: Sun, 21 Jun 2026 03:30:30 +0000 Subject: Connectionists: [Meetings] Call for Competition Proposals: CIS-RAM 2026 Competition Track Message-ID: We are pleased to announce the inaugural Competition Track at the Conference on Intelligent Systems for Robotics and Manufacturing (CIS-RAM) 2026. Through this call, we invite proposals for competitions on topics relevant to the CIS-RAM community. We particularly encourage submissions that address clear scientific questions and have a positive societal impact, especially those leveraging embodied AI to support underserved communities. Proposals focusing on the evaluation of embodied AI models and agentic systems are also welcome. Beyond societal benefit, we seek competitions in areas where embodied AI can advance other scientific, technological, or business domains pertinent to CIS-RAM. Our goal is to attract a diverse, interdisciplinary audience to the CIS-RAM 2026 Competition Track. Each accepted competition will feature a dedicated in-person workshop during the conference, where participants and organizers can present and discuss results. All submissions must adhere to the CIS-RAM Code of Conduct and Code of Ethics. The Competition Track follows the CIS-RAM Main Track policies (including those on plagiarism, use of AI agents/models, and anti-collusion), except where specific Competition Track rules (e.g., page limits, review process) are stated. Proposal Submission Competition proposals must be submitted via CIS-RAM_competitions at outlook.com ? The main text is limited to eight (8) content pages, including all figures and tables. Additional pages for references and team biographies are allowed. Review and Selection Process A dedicated program committee of experts in embodied AI and challenge organization will review proposals. Evaluation criteria include: ?Scientific Relevance and Tasks:? Competitions should be driven by clear scientific questions. We will assess impact, originality, and relevance to CIS-RAM. Tasks with humanitarian/societal impact or focused on evaluating embodied AI/agentic systems are highly encouraged. For humanitarian projects, involvement of the relevant community is strongly advised, and "parachute science" is discouraged. Ethical considerations and potential risks must be addressed. ?Evaluation Protocol:? We will evaluate task feasibility, availability of baselines, soundness of evaluation criteria, and clarity/fairness of rules. The evaluation should align with real-world performance and the core scientific question. Proposals should outline measures (e.g., standardized environments) to ensure fairness, especially for less-resourced teams. ?Data:? For data-driven competitions, proposals must describe the dataset(s) in detail?including quality, size, representativeness, and suitability for training/testing. Potential data leakage must be addressed. Data must be freely available; open data is encouraged. ?Logistics:? The competition schedule, plans for attracting participants (including groups underrepresented at CIS-RAM), and the organizers' experience and diversity will be considered. The review process is single-blind; submissions should include organizer names and affiliations. Proceedings Accepted competitions in 2026 have the following option for publishing post-competition analyses: ?Submission to a dedicated CIS-RAM proceedings Important Data * Competition Proposal Submission Deadline:? June 30, 2026 * Acceptance Notification:? July 6, 2026 * CIS-RAM 2026 Conference (Competition Track):? August 5-8, 2026 Additional Information ?Organizers should propose a detailed timeline, allowing participants sufficient time to develop high-quality entries. It is recommended to launch competitions by June 2026 and conclude by the end of July 2026 at the latest. ?Organizers are expected to provide brief, regular updates to the Competition Chairs. ?For assistance or suggestions regarding competition platforms, please contact the Competition Chairs. Competition Chairs Dongyan Huang, Tsinghua University, CN Jinwu Gao, Jilin University, CN Shan Luo, King's College London, UK Jing Xiong, Shenzhen Institute of Advanced Technology, CAS?CN -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: IEEE CIS-RAM CFC template.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 53851 bytes Desc: IEEE CIS-RAM CFC template.docx URL: From prkkpatel at gmail.com Sun Jun 21 02:31:38 2026 From: prkkpatel at gmail.com (KK Patel) Date: Sun, 21 Jun 2026 12:01:38 +0530 Subject: Connectionists: CFP: 8th icSoftComp2026 Scopus-indexed Springer CCIS, Singapore Message-ID: Sincere apologies for the multiple postings. ------------------------------ CALL FOR PAPERS[image: Springer] icSoftComp20268th INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND ITS ENGINEERING APPLICATIONSSingapore | December 08?10, 2026 Paper submission link: https://meteor.springer.com/icSoftComp2026 ------------------------------ Dear Dr./Prof. KK Patel, Greetings! I'm pleased to inform you that the 8th International Conference on Soft Computing and its Engineering Applications (icSoftComp2026) will be organized on December 8?10, 2026, in Singapore. Could you please consider contributing to and/or forwarding this opportunity to the appropriate groups to submit and publish an original research paper to the 8th icSoftComp2026. ============ About the Conference: ============ icSoftComp2026 aims to provide an excellent international forum for researchers, academicians, students, and professionals in areas of computer science and engineering to present their research, knowledge, new ideas, and innovations. The conference will exhibit an exciting technical program and feature high-quality tutorials and workshops, industry panels, exhibitions, and keynotes from prominent research and industry leaders. =========== Important Notes: =========== - icSoftComp2026 follows a double-blind peer review system. - Conference proceedings by Springer CCIS Series (Scopus-indexed) - The conference will be held in a hybrid mode: in-person and online - Authors of selected papers will be invited to submit extended article versions for a post-conference special issue of peer-reviewed, Scopus-indexed journals. ============ Speakers: ============ - Lipo Wang, Nanyang Technological University, Singapore - Jochen Wirtz, National University of Singapore (NUS), Singapore - Kay R?mer, TU Graz, Graz University of Technology, Austria - Joao M.F. Rodrigues, Universidade do Algarve, Faro, Portugal - Ankit Agrawal, Northwestern University, USA ============ Paper Submission: ============ icSoftComp2026 solicits papers on all aspects of soft computing and its engineering applications for a smart and better world. The topics of the conference include, but are not limited to the following: *Track 1: Theory and Methods* - Ant colony theory - Approximate reasoning - Artificial Intelligence (AI) - Big Data analytics - Bio-inspired computing - Chaos theory - Cognitive science - Data mining and Knowledge discovery - Deep learning - Digital information processing - Evolutionary computing - Fuzzy set theory - Immunological computing - Knowledge virtualization - Machine learning - Modelling - Neural computing - Probabilistic reasoning - Rough sets - Swarm intelligence *Track 2: Systems and Applications* - Advanced intelligent systems - Agent-based systems - Agricultural informatics - Assistive systems - Autonomic and autonomous systems - Bioinformatics and scientific computing - Cognitive systems and applications - Complex systems - Computer forensics - Cyber Physical Systems (CPS) - Human-computer interaction - Internet of Things (IoT) - Intrusion detection and Security intelligence - Mechatronics - Multi-agent systems - Natural language processing - Network and telecommunications systems - Optimization - Pattern recognition - Process control - Remote sensing system - Robotics - Signal processing - Time series forecasting - Web intelligence *Track 3: Hybrid Techniques* - Auxiliary hybridization - Embedded hybridization - Fuzzy-genetic approach - Neuro-evolutionary computing - Neuro-fuzzy computing - Sequential hybridization *Track 4: Soft Computing for Smart Sustainable World* - Smart agriculture and aquaculture - Smart building and structure - Smart cities - Smart communication - Smart cybersecurity and privacy - Smart disaster monitoring and management - Smart Earth system - Smart education - Smart elderly care - Smart environment and ecosystems - Smart furniture - Smart grid and energy - Smart governance - Smart healthcare - Smart homes and buildings - Smart industry and manufacturing - Smart inventory management - Smart Kiddy Care - Smart learning - Smart living - Smart logistics and retail - Smart machines and robots - Smart materials and fabric - Smart medicine - Smart roads - Smart space system - Smart social services - Smart transportation - Smart utilities - Smart vehicles - Smart villages - Smart wearables and implants =========== Important Dates: =========== Submission due: 30/06/2026 Acceptance Notification: 31/07/2026 Camera-ready Submission due: According to the notification Last date of registration: According to the notification Conference dates: 08-10/12/2026 ============ Paper Publication: ============ The accepted and presented papers will be published as proceedings with Springer in their prestigious Communications in Computer and Information Science (CCIS) series. ============ Indexing: ============ Indexed by Scopus, Ei Compendex, Google Scholar, and Springerlink ============= Journal Publication: ============= Authors of selected papers will be invited to submit extended article versions for a post-conference special issue of peer-reviewed journals. Could you please let me know if you need any other information? Warm regards, *--K. K. Patel, Ph.D.,Cell#: +91-8200103724 (WhatsApp)Email: kanupatel.mca at charusat.ac.in http://icsoftcomp.org/ https://iwaiis.org/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Jun 21 09:16:01 2026 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 21 Jun 2026 16:16:01 +0300 Subject: Connectionists: =?utf-8?q?World_wide_VVTNS_series_=286th_season?= =?utf-8?q?=29=3A_June_24_2026_=7C_From_Cajal=E2=80=99s_Spines_to_D?= =?utf-8?q?igital_Neurons=3A_Connectomics_View_on_Dendritic_Computa?= =?utf-8?q?tions_=7C_Idan_Segev=2C_The_Hebrew_University_of_Jerusal?= =?utf-8?q?em?= In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the VVTNS Sixth Season Closing Lecture Idan Segev The Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem on the topic of >From Cajal?s Spines to Digital Neurons: Connectomics View on Dendritic Computations The lecture will be held on Zoom on June 24, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Dendritic spines are among the smallest structures in the brain, yet they hold some of the deepest clues to how neurons compute and store memories. In this lecture, I will revisit the classical question of spine biophysics in the new age of connectomics, where nanometer-resolution electron microscopy allows us to reconstruct whole neurons with thousands of synapses and spines. I will show how spine density, spine-neck resistance, and the irregular geometry of individual spines can shape local synaptic signals, generate fast voltage dynamics, influence excitatory/inhibitory gating, and affect communication between neighboring spines. I will then discuss how automated reconstruction pipelines and biophysical modeling now make it possible to build digital neurons at spine and synapse resolution, and how AI-based approaches, such as our new AI-based TwinProp algorithm, allow us to ask - and get answer - to a fundamental question: what can a neuron compute? I will end by claiming that we now enter a new age of connectomics that provides an essential constraint on understanding how synapses, neurons, and circuits perform their computational functions. *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 fmschleif at googlemail.com Mon Jun 22 04:28:07 2026 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Mon, 22 Jun 2026 10:28:07 +0200 Subject: Connectionists: CFP: WSOM+ 2026 (co-organized with IDEAL 2026, Manchester, UK) - deadline approaching 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. Papers are submitted for single-blind review. 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/ 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 triesch at fias.uni-frankfurt.de Mon Jun 22 09:25:25 2026 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Mon, 22 Jun 2026 15:25:25 +0200 Subject: Connectionists: Andrew Barto speaking in Developing Minds Lecture Series on June 25 Message-ID: <1DE65F37-60D4-4C86-B652-46D3955BABAC@fias.uni-frankfurt.de> Dear colleagues, On June 25, the Developing Minds global online lecture series is proud to host Andrew Barto, Prof. Emeritus of Univ. of Massachusetts Amherst, USA, speaking on ?Rediscovering Reinforcement Learning?. His talk will take place at: 10:00 am EDT (Eastern Daylight Time, USA) 14:00 UTC (Universal Coordinated Time) 16:00 CEST (Central European Summer Time) 23:00 JST (Japan Standard Time). The talk will be hosted via zoom: https://uni-frankfurt.zoom-x.de/j/62410045708?pwd=EmEDiJtB0NZ0XPbSBngt6sbx2ajlc7.1 Meeting-ID: 624 1004 5708 Kenncode: 883974 Abstract: The idea of reinforcement learning (RL) as a key principle of animal learning has been around at least since Edward Thorndike proposed the ?Law of Effect? in 1898. Machine implementation of this principle began with electro-mechanical machines in the 1930s, and the earliest idea for computer implementation was probably Turing?s 1948 proposal of a computer implementation of a ?pleasure-pain system?. In this talk I review what has followed Turing?s unimplemented proposal, starting with the first computer experiments in 1954, up to what we now know as modern computational RL. Short Bio: Andrew Barto is Professor Emeritus of Computer Science, University of Massachusetts Amherst, having retired in 2012. He served as Chair of the UMass Department of Computer Science from 2007 to 2011. He received a B.S. with distinction in mathematics from the University of Michigan in 1970, and a Ph.D. in Computer Science in 1975, also from the University of Michigan. He joined the Computer Science Department of the University of Massachusetts Amherst in 1977. Before retiring he co-directed the Autonomous Learning Laboratory at UMass Amherst, which produced many notable machine learning researchers. Professor Barto is a Fellow of the American Association for the Advancement of Science (AAAS) and a Fellow and Life Member of the IEEE. He received the 2004 IEEE Neural Network Society Pioneer Award for contributions to the field of reinforcement learning, the IJCAI-17 Award for Research Excellence for groundbreaking and impactful research in both the theory and application of reinforcement learning, and a University of Massachusetts Neurosciences Lifetime Achievement Award in 2019. Most recently, he and his former doctoral student, Richard Sutton, were co-recipients of the 2024 Association for Computing Machinery?s A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning, and he and Sutton received the 2026 IEEE Frank Rosenblatt Award for contributions to reinforcement learning and artificial intelligence. He has published over one hundred papers or chapters in journals, books, and conference and workshop proceedings. He is co-author with Sutton of "Reinforcement Learning: An Introduction," MIT Press, 1998. A much expanded second edition was published in 2018. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt Recent publications: https://www.nature.com/articles/s41467-025-64234-z https://ieeexplore.ieee.org/abstract/document/11204381?casa_token=RBlsm2RTaeMAAAAA:5zY_eavW7knAJ0DY7BmwTrL03kTd_wI-tXT5Oov-da57THFARAv9L7QxicIJhVKALLJshBr2 From paul.cisek at umontreal.ca Mon Jun 22 15:46:29 2026 From: paul.cisek at umontreal.ca (Paul Cisek) Date: Mon, 22 Jun 2026 19:46:29 +0000 Subject: Connectionists: Doctoral and postdoctoral studies in the neuroscience of dynamic action planning and motor control, University of Montreal Message-ID: Doctoral and postdoctoral studies in the neuroscience of dynamic action planning and motor control Department of Neuroscience, University of Montreal Applications are invited for doctoral and postdoctoral studies in systems neuroscience in the laboratories of Andrea Green and Paul Cisek. Successful applicants will join a multidisciplinary research group studying how the primate brain controls real-time, natural behavior in dynamic environments. Different projects address how we specify and plan potential actions such as reaching under changing conditions as we move through our environment, decide between actions even during ongoing behavior, control and learn to execute movements in different behavioral contexts (e.g., body stationary vs. in motion) and integrate multisensory cues to estimate and keep track of our motion through space. Research in our group involves single- and multi-electrode neural recording experiments in non-human primates, human behavioral studies using techniques such as transcranial magnetic stimulation and galvanic vestibular stimulation, and computational modeling of the nervous system. New collaborative projects will combine use of sophisticated spatial motion systems and virtual reality environments to study naturalistic behavior in both humans and non-human primates and develop computational models of real-time action selection, planning and control. For more information, see: https://neurosciences.umontreal.ca/recherche/les-chercheurs/andrea-green/ and https://cisek.org/pavel/ Multiple positions are available. All students with a strong background in biological sciences, engineering, mathematics, computer science, physics or psychology and an interest in system-level study of the brain are encouraged to apply. Prior experience in neurophysiology, behavioral neuroscience and/or computational modeling of neural systems is highly desirable. Depending on the applicant's qualifications and interests, they will help to design and conduct behavioral and neurophysiological experiments, analyze data, develop theoretical models of neural systems, prepare manuscripts for publication, and participate in international conferences. Interested candidates are asked to send a curriculum vita, copies of academic transcripts, a statement of research interests and the names and contact information for two references, to Andrea Green (andrea.green at umontreal.ca) and Paul Cisek (paul.cisek at umontreal.ca). Applications will be accepted until the positions are filled, but preference will be given to applications received before July 31st, 2026. Paul Cisek, PhD D?partement de neurosciences Universit? de Montr?al Physical: 2960 chemin de la tour, local 4117 Montr?al, QC H3T 1J4 CANADA Mailing: CP 6128 Succursale centre-ville, Montr?al, QC H3C 3J7 CANADA e-mail: paul.cisek at umontreal.ca Web: www.cisek.org/pavel -------------- next part -------------- An HTML attachment was scrubbed... URL: From vittorio.cuculo at unimore.it Mon Jun 22 03:33:57 2026 From: vittorio.cuculo at unimore.it (Vittorio Cuculo) Date: Mon, 22 Jun 2026 09:33:57 +0200 Subject: Connectionists: [CFP] ECCV2026 - Human-inspired Computer Vision workshop (HCV 2026) Message-ID: ** *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 * Pietro Perona - Caltech, USA * Thomas Serre - Brown University, USA * Gemma Roig - Goethe University Frankfurt, Germany * Vicky Kalogeiton - CNRS, France IMPORTANT DATES Regular PaperSubmission (Archival Track): June 26th, 2026extended to *July 10th 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. *SPECIAL ISSUE* Following the success of the previous edition, accepted workshop papers will be invited to submit an extended version to a dedicated *Special Issue on the International Journal of Computer Vision (IJCV)*, published by Springer Nature. ** 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 steve at bu.edu Mon Jun 22 09:36:52 2026 From: steve at bu.edu (Grossberg, Stephen) Date: Mon, 22 Jun 2026 13:36:52 +0000 Subject: Connectionists: TV Program About My New Book on YOUR CREATIVE BRAIN AND AI Message-ID: Dear Connectionists colleagues, I thought that you might enjoy watching the one-hour interview with Jay Sugarman about my new book on his TV program Innovation Showcase. The YouTube url of the interview is: https://www.youtube.com/watch?v=GnAN9QWbfvk The book that we discuss is YOUR CREATIVE BRAIN AND AI: How We Learn and Consciously Experience ART, MUSIC, and MEANING https://www.amazon.com/Your-Creative-Brain-Consciously-Experience/dp/0198965370 Best, Steve Grossberg sites.bu.edu/steveg Get Outlook for Mac -------------- next part -------------- An HTML attachment was scrubbed... URL: From epiasini at sissa.it Mon Jun 22 17:10:46 2026 From: epiasini at sissa.it (Eugenio Piasini) Date: Mon, 22 Jun 2026 21:10:46 +0000 Subject: Connectionists: Last Call: Apply to the Master in Data Management and Curation in Trieste, Italy (Deadline: 30 June 2026) Message-ID: Dear all, We would like to remind you that applications for the 2026?2027 edition of the Master in Data Management and Curation (MDMC), jointly organized by AREA Science Park and SISSA in Trieste, Italy, are open until 30 June 2026, 1PM CEST. MDMC is an advanced postgraduate program designed to train the next generation of professionals in Research Data Management, FAIR data, Open Science, data stewardship, semantic technologies, and AI-enabled data infrastructures. The program combines lectures from international experts with a six-month internship carried out within leading research institutions and organizations like OGS, FBK, FIF, CNR-IOM and several companies. Multiple forms of financial support are available for outstanding candidates: ? 5 institutional fellowships offered by OGS, SISSA, and AREA Science Park, covering the participation fee and, in some cases, including an additional financial grant. ? 8 additional tuition fee waivers for the highest-ranked candidates admitted to the programme. ? 6 excellence grants of ?3,000. ? Additional financial support opportunities for non-resident students. The total amount of available support makes MDMC accessible to a large number of talented candidates interested in pursuing a career in data management, data stewardship, Open Science, and research infrastructures. Further details on the program, admission requirements, and available fellowships can be found at: https://www.areasciencepark.it/call/mdmc/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Jun 23 07:24:32 2026 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 23 Jun 2026 14:24:32 +0300 Subject: Connectionists: =?utf-8?q?REMINDER=3A_World_wide_VVTNS_series_=28?= =?utf-8?q?6th_season=29=3A_June_24_2026_=7C_From_Cajal=E2=80=99s_S?= =?utf-8?q?pines_to_Digital_Neurons=3A_Connectomics_View_on_Dendrit?= =?utf-8?q?ic_Computations_=7C_Idan_Segev=2C_The_Hebrew_University_?= =?utf-8?q?of_Jerusalem?= In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the VVTNS Sixth Season Closing Lecture Idan Segev The Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem on the topic of >From Cajal?s Spines to Digital Neurons: Connectomics View on Dendritic Computations The lecture will be held on Zoom on June 24, 2026 at *11:00 am ET * > To receive the link: https://www.wwtns.online/register-page > > *Abstract: *Dendritic spines are among the smallest structures in the brain, yet they hold some of the deepest clues to how neurons compute and store memories. In this lecture, I will revisit the classical question of spine biophysics in the new age of connectomics, where nanometer-resolution electron microscopy allows us to reconstruct whole neurons with thousands of synapses and spines. I will show how spine density, spine-neck resistance, and the irregular geometry of individual spines can shape local synaptic signals, generate fast voltage dynamics, influence excitatory/inhibitory gating, and affect communication between neighboring spines. I will then discuss how automated reconstruction pipelines and biophysical modeling now make it possible to build digital neurons at spine and synapse resolution, and how AI-based approaches, such as our new AI-based TwinProp algorithm, allow us to ask - and get answer - to a fundamental question: what can a neuron compute? I will end by claiming that we now enter a new age of connectomics that provides an essential constraint on understanding how synapses, neurons, and circuits perform their computational functions. *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 Tue Jun 23 08:33:19 2026 From: icaitemspisa at gmail.com (ICAI-TEMS 2026) Date: Tue, 23 Jun 2026 14:33:19 +0200 Subject: Connectionists: [CFP] IEEE ICAI-TEMS 2026 | IEEE and Scopus indexed | Paper Submission Deadline: Aug 1, 2026 Message-ID: ** *Dear colleague,* * ** I would like to bring to your attention the 2nd edition of the IEEE International Conference on Application of Information Technologies in Engineering, Management and Science (ICAI TEMS 2026). ICAI-TEMS 2026 is dedicated to research on concepts, theories, and applications of information technologies across engineering disciplines, technology management, and science. The goal is to encourage exchange between academic research and real-world applications. * * 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 Optimization SUBMISSION INFO AND IMPORTANT DATES * Full Paper Submission: Aug 1, 2026 * Notification of Acceptance: Sep 1, 2026 * Camera-Ready Submission: Sep 15, 2026 * Conference: 10-13 Nov 2026 All 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 INFO Keynote 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 serafeim.perdikis at essex.ac.uk Tue Jun 23 08:57:39 2026 From: serafeim.perdikis at essex.ac.uk (Perdikis, Serafeim) Date: Tue, 23 Jun 2026 12:57:39 +0000 Subject: Connectionists: Essex BCI-NE webinar: Building Inclusive BCIs and Neurotechnologies by Prof. Mahnaz Arvaneh In-Reply-To: References: Message-ID: Gentle reminder for tomorrow's BCI-NE University of Essex seminar: https://www.linkedin.com/company/essex-bcine-lab/ The Essex BCI-NE Lab invites you to join our next monthly webinar: Beyond Accuracy: Building Inclusive BCIs and Neurotechnologies for Diverse Communities Delivered by Prof. Mahnaz Arvaneh Professor of Intelligent Human-Machine Interfaces, Physiological Signals and Systems Laboratory, School of Electrical and Electronic Engineering, University of Sheffield, United Kingdom The webinar will take place over Zoom on Wednesday, 24th June 2026, at 2 PM UK time RSVP: https://www.linkedin.com/events/7469814451047784448 Abstract: Brain?computer interfaces and neurotechnologies are often developed and validated in participant groups that do not reflect the diversity of the communities they aim to serve. This creates risks of unequal performance, limited adoption, and exclusion from future benefits. In this talk, I will discuss inequities in BCI and neurotechnology research, focusing on barriers faced by marginalised communities in participation, trust, accessibility, and adoption. Drawing on findings from the ARIA-funded Neurotech4All programme, I will highlight how technical, cultural, practical, and psychological factors can shape user engagement. I will conclude with recommendations for designing more inclusive, acceptable, and scalable neurotechnologies. Speaker Biography: Mahnaz Arvaneh is Professor of Intelligent Human?Machine Interfaces at the University of Sheffield and Director of the Physiological Signals and Systems Laboratory. Her research focuses on AI-powered, user-centred neurotechnologies, with particular expertise in brain?computer interfaces, EEG signal processing, machine learning, and closed-loop systems for cognitive and physical rehabilitation. She has led multiple interdisciplinary projects spanning healthcare, neurotechnology, and human?machine interaction, including the development of home-based BCI rehabilitation systems for stroke survivors. She currently leads the ARIA-funded Neurotech4All programme, which investigates barriers to participation and adoption of neurotechnology among marginalised communities and develops recommendations for more equitable and inclusive neurotechnology design. Professor Arvaneh serves as Associate Editor for several leading journals and has contributed to national and international initiatives shaping the future of neurotechnology. 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: From Anand.Subramoney at rhul.ac.uk Tue Jun 23 11:20:13 2026 From: Anand.Subramoney at rhul.ac.uk (Subramoney, Anand) Date: Tue, 23 Jun 2026 15:20:13 +0000 Subject: Connectionists: [Deadline extended] Call for participation - Summer School on Computational Decision Sciences, London, Sept 7-11 In-Reply-To: References: Message-ID: Dear all, It?s our pleasure to announce the Graduate Summer School on Computational Decision Sciences (GSS-CDS)??the second edition of the summer school at the Centre for Decision Sciences, Royal Holloway, University of London. The registration deadline has been extended. What GSS-CDS will bring together an interdisciplinary audience tackling decision making in different scientific fields (see Program). The focus is on mathematical and computational modelling, integrating concepts and methods from mathematical psychology, computational psychiatry, computational neuroscience, computational social sciences, machine learning, and cultural evolution. Attendees will benefit from talks from leading researchers and practical hands-on sessions. Attendees will also have the opportunity to receive career advice during social networking events and reflect critically about research practices in EDI sessions. Where and When GSS-CDS will take place at Stewart House, within Senate House, in Central London, on September 7th-11th (see Schedule). Target audience GSS-CDS is targeted towards attendees from diverse fields (e.g., psychology, neuroscience, social sciences, computer science, machine learning etc.) and career stages (masters, PhD, postdoc, and junior PI). Prerequisite A basic background knowledge in elementary statistics (e.g., probability theory) and programming in Python/R is highly recommended to master the technical skills, but no prior experience with computational modeling is required. Registration Course fee is ?480 (includes the registration fee, lunch, tea/coffee breaks, reception events and VAT). To register, please visit this page. Places are limited and registrations will close on Monday, July 20th, at 5pm UK time (extended). Please feel free to share this information with anyone you think might be interested in participating. Looking forward to seeing you all in September. Best wishes, Gabriele, Nura, Anand This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Valerie.Gouet at ign.fr Tue Jun 23 16:44:21 2026 From: Valerie.Gouet at ign.fr (Valerie Gouet) Date: Tue, 23 Jun 2026 20:44:21 +0000 Subject: Connectionists: [Last 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 david.schmidt at uni-bielefeld.de Wed Jun 24 04:56:37 2026 From: david.schmidt at uni-bielefeld.de (David Schmidt) Date: Wed, 24 Jun 2026 10:56:37 +0200 Subject: Connectionists: [CfP][Deadline Extended] Final CfP for WikiKGQA: Wiki-Based Knowledge Graph Question Answering Challenge at ISWC 2026 - Final Deadline: July 3rd (challenge result submission) / July 24th (paper submission) In-Reply-To: References: Message-ID: [Apologies for cross-postings] Dear colleagues, We are pleased to announce WikiKGQA: Wiki-Based Knowledge Graph Question Answering Challenge co-located with the 25th International Semantic Web Conference (https://iswc2026.semanticweb.org/), Bari, Italy. Challenge website: https://wikikgqa.org Test datasets: https://wikikgqa.org/#test The competition takes place on the Codabench platform: https://www.codabench.org/competitions/15358/ If you may be interested in participating, it would really help us if you let us know using this form: https://forms.gle/bv48ssVVvtBY8tHA6 Important links and dates: - Challenge platform: https://www.codabench.org/competitions/15358/ - Challenge solution submission: July 3, 2026 (11:59pm, AoE) - Challenge results: July 17, 2026 - Paper submissions: July 24, 2026 (11:59pm, AoE) - Paper acceptance notification: August 21, 2026 - Workshop days: October 25 OR 26, 2026 Motivation: KGQA has a long tradition in the Semantic Web community, particularly under the Question Answering over Linked Data (QALD) moniker and challenge series. With the rise of LLMs, the performance of state-of-the-art systems has improved dramatically. However, benchmark datasets in the space exhibit well-known limitations, primarily due to the manual cost of creating parallel corpora of natural language questions and structured queries. To address these issues, QAWiki (https://qawiki.org) proposes a collaboratively-edited community resource of hand-crafted question-query pairs, focusing currently on English & Spanish questions answered over Wikidata's SPARQL query service. The motivation is two-fold: (1) to evaluate KGQA systems over a hand-crafted collection of multilingual question-query pairs over Wikidata, and (2) to build a community centered around QAWiki, to expand and improve it, and thus expand and improve the resources available for training and benchmarking of KGQA systems. Task Description: Knowledge Graph Question Answering (KGQA) offers a promising alternative to end-to-end QA systems by obtaining truthful answers from trusted and well-maintained knowledge sources, such as Wikidata, without losing the flexibility of natural language input. Nevertheless, the creation of large high-quality KGQA benchmarks remains a challenge, with many benchmarks being small, containing errors or repetitive questions that are rarely fixed. Therefore, building on QAWiki, this challenge aims to make the creation of KGQA benchmarks a collaborative effort, just like Wikidata itself. For evaluation, a private test dataset will be created, which would be integrated with QAWiki after the challenge. Over the years, we aim to build an evolving high-quality KGQA dataset of increasing size. English and Spanish queries will be ranked separately, each participant can choose to participate only for one or for both languages. The task itself consists of two sub-tasks for each language: 1. KGQA using only the input question 2. KGQA using the input question together with the metadata QAWiki provides, i.e., entity and property annotations In both sub-tasks, the goal is to generate an answer set for that question based on the version of Wikidata accessible via the WikiKGQA SPARQL endpoint or using the available Wikidata dump (more details at the Codabench competition page). As an evaluation metric, Macro QALD F1 scores will be used to evaluate the result sets. The full training data is available under https://www.codabench.org/competitions/15358/ as an extended version of QALD_JSON (https://www.nliwod.org/challenge#task-1-multilingual-question-answering-over-knowledge-graphs). Submission Guidelines: We invite submissions of English challenge papers (up to 8 pages excluding references). All submissions should be formatted in the CEUR layout https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw A prerequisite for submitting a challenge paper is to submit challenge solutions of your approach to at least one of the tracks on Codabench: https://www.codabench.org/competitions/1535. Additionally, each participant/team has to let the organizers know their team name, institute affiliation and participant names such that Codabench submissions can be linked to paper submissions later. One way to do so is via this form: https://forms.gle/bv48ssVVvtBY8tHA6 Submission link: https://easychair.org/conferences/?conf=wikikgqa2026 Codabench: https://www.codabench.org/competitions/15358/ The central communication platform for the challenge (aside from the website) is the corresponding Google Groups list: https://groups.google.com/g/wikikgqa-challenge-list/ For private concerns or questions, please contact David Maria Schmidt (david.schmidt at uni-bielefeld.de) or any other organizer directly. Follow us on social media! LinkedIn: https://www.linkedin.com/company/wikikgqa/ Bluesky: https://bsky.app/profile/wikikgqa.bsky.social Mastodon: https://mastodon.social/@wikikgqa Workshop Organizers: - Shakeeb Arzoo, CRISIL Ltd., S&P Global Ratings - Debayan Banerjee, Leuphana University L?neburg, Germany - Philipp Cimiano, CITEC, Bielefeld University, Germany - Aidan Hogan, DCC, Universidad de Chile - Alberto Moya Loustaunau, DCC, Universidad de Chile - David Maria Schmidt, CITEC, Bielefeld University, Germany - Ricardo Usbeck, Leuphana University L?neburg, Germany -- David Maria Schmidt Cognitive Interaction Technology Center (CITEC) Universit?t Bielefeld Inspiration 1 33619 Bielefeld Germany Mail: david.schmidt at uni-bielefeld.de Web: https://davidmariaschmidt.de/ From announce at ucy.ac.cy Wed Jun 24 06:30:39 2026 From: announce at ucy.ac.cy (Announce) Date: Wed, 24 Jun 2026 10:30:39 +0000 Subject: Connectionists: KGCSW-SETN 2026: Knowledge Graph Construction Workshop: Call for Papers Message-ID: CALL FOR PAPERS: SETN 2026 WORKSHOP KGCSW-SETN 2026: Knowledge Graph Construction Workshop OVERVIEW -------- The workshop on Knowledge Graph Construction is an essential step towards harnessing the transformative power of Artificial Intelligence (AI) in understanding complex data landscapes. Knowledge graphs stand out as pivotal tools for structuring data, making it interpretable and actionable by AI systems. They enable the representation of data in a form that mirrors human understanding, facilitating more natural interaction between humans and machines. The construction of knowledge graphs embodies the synthesis of various AI disciplines, including natural language processing, machine learning, and semantic web technologies. By organizing this workshop, we aim to foster a collaborative environment where experts and enthusiasts across these fields can converge to share insights, challenges, and breakthroughs. This workshop is held for the second time, following its previous edition at SETN 2024. WORKSHOP FORMAT --------------- Half-day event Location: SETN 2026 Conference (Chania, Crete, Greece) Date: September 9, 2026 TOPICS OF INTEREST ------------------ FOUNDATIONS & TECHNICAL TOPICS: 1. Foundations of Knowledge Graphs 2. Knowledge Extraction and Integration 3. Machine Learning, Large Language Models and Knowledge Graphs 4. Natural Language Processing (NLP) for Knowledge Graphs 5. Knowledge Graph Construction Tools and Technologies 6. Scalability and Performance Optimization APPLICATION AREAS: 1. Healthcare and Life Sciences 2. Security and Cybersecurity 3. Finance and Economics 4. Human-computer interaction / Conversational agents 5. E-Commerce and Retail 6. Smart Cities and IoT 7. Cultural Heritage and Digital Humanities 8. Environmental Science and Sustainability SUBMISSION GUIDELINES --------------------- PAPER TYPES: - Full papers: 6-10 pages - Short papers: 2-4 pages SUBMISSION PLATFORM: EasyChair: https://www.easychair.org/conferences/?conf=setn2026 (Select "SETN 2026 Workshop on Knowledge Graph Construction") REVIEW PROCESS: - Double-blind peer review - At least 2 reviewers per paper - Evaluation criteria: technical quality, relevance, originality, novelty, significance, and clarity PUBLICATION: - All accepted papers will be included in the SETN 2026 Conference Proceedings - Published by the Association for Computing Machinery (ACM) - Available through the ACM Digital Library - Special issue planned for all accepted workshop papers AUTHOR REQUIREMENTS ------------------- For papers to be included in the proceedings and presented at the conference: * At least one author MUST fully register at SETN 2026 as an "Author" * At least one author is EXPECTED to attend the conference for presentation IMPORTANT DATES --------------- Paper Submission Deadline: July 13, 2026 (AOE)* Author Notification: July 17, 2026 (AOE)* Workshop Date: September 9, 2026 *AOE = Anywhere On Earth Time Zone (UTC-12) ORGANIZING COMMITTEE -------------------- Maria Papoutsoglou (Chair) School of Informatics, Aristotle University of Thessaloniki Email: mpapo(at)csd.auth.gr Georgios Meditskos School of Informatics, Aristotle University of Thessaloniki Efstratios Kontopoulos Choreograph Johannes Wachs Center for Collective Learning, Corvinus University Budapest Nick Bassiliades School of Informatics, Aristotle University of Thessaloniki Stefanos Vrochidis Information Technologies Institute, CERTH CONTACT INFORMATION ------------------- For questions or inquiries regarding the workshop: Email: mpapo(at)csd.auth.gr ADDITIONAL INFORMATION ---------------------- Workshop Page: https://www.setn2026.tuc.gr/en/program/workshop EasyChair Submission: https://www.easychair.org/conferences/?conf=setn2026 ============================================================== SETN 2026 Conference - September 9-12, 2026 Chania, Crete, Greece ============================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernstein.conference at fz-juelich.de Wed Jun 24 05:42:22 2026 From: bernstein.conference at fz-juelich.de (Bernstein Conference) Date: Wed, 24 Jun 2026 11:42:22 +0200 Subject: Connectionists: Deadline approaching: Call for Abstracts for the Bernstein Conference 2026 Message-ID: <8783368d-8c7b-42fb-b3f2-894590ece427@fz-juelich.de> +++ The Bernstein Network Computational Neuroscience invites proposals for Poster Sessions at the Bernstein Conference 2026 in Frankfurt am Main. +++ ____ *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 new scientific discoveries.** https://www.bernstein-conference.de/ ____ *IMPORTANT DATES * Bernstein Conference: *September 28 ? October 1, 2026 * Deadlines: *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 * *____ * *ABSTRACTS * We invite the computational neuroscience community to submit their abstracts for 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 young 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... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4162 bytes Desc: Kryptografische S/MIME-Signatur URL: From alberto.nogales at ceiec.es Wed Jun 24 12:41:49 2026 From: alberto.nogales at ceiec.es (Alberto Nogales) Date: Wed, 24 Jun 2026 18:41:49 +0200 Subject: Connectionists: EEGraph (Python neuroscience package) Update Message-ID: Dear Connectionists Community, I hope this message finds you well. I would like to share a new version of *EEGraph*, an open-source Python library designed to facilitate the construction and analysis of functional brain connectivity networks from EEG recordings. EEGraph was originally developed to provide researchers with a simple, transparent, and reproducible framework for transforming EEG signals into graph representations that can be readily integrated into network neuroscience and machine learning workflows. The library supports multiple connectivity metrics and graph-generation pipelines while aiming to reduce the technical barriers associated with EEG network analysis. In this latest release, EEGraph has been significantly extended beyond its original scope. New features include additional connectivity estimation methods, improved preprocessing and analysis capabilities, enhanced flexibility for different experimental settings, better documentation, and several performance and usability improvements. These developments aim to make EEGraph a more comprehensive tool for researchers working in computational neuroscience, brain network analysis, neuroengineering, and related fields. As with any open-source scientific software, community feedback is invaluable. We encourage researchers, students, and developers to try the new version in their own projects, report any issues they encounter, suggest improvements, and contribute to future development. Identifying bugs, edge cases, or unexpected behaviours is particularly helpful for improving the reliability and robustness of the package. The project is available here: https://github.com/ufvceiec/EEGRAPH Documentation, examples, and installation instructions can be found in the repository. PS: We are also pleased to mention that work is currently underway to extend EEGraph beyond EEG data. A forthcoming release will incorporate support for fMRI-based functional connectivity analysis, enabling researchers to construct and analyse brain networks from both electrophysiological and neuroimaging modalities within a unified framework. We hope this expansion will further broaden the applicability of EEGraph and foster multimodal neuroscience research. Thank you for your time and interest. Best regards, Alberto Nogales -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Wed Jun 24 20:25:58 2026 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Thu, 25 Jun 2026 03:25:58 +0300 Subject: Connectionists: FMEC 2026: The IEEE co-sponsored 11th International Conference on Fog and Mobile Edge Computing, 15 - 18 September 2026 | Abu Dhabi, UAE Message-ID: [Apologies if you got multiple copies of this invitation] The 11th International Conference on Fog and Mobile Edge Computing (FMEC 2026) https://emergingtechnet.org/FMEC2026/ 15 - 18 September 2026 | Abu Dhabi, UAE Hybrid Event and Technically Co-Sponsored by IEEE UAE Section *FMEC 2026 CFP:* Cloud computing provides a large range of services and virtually unlimited available resources for users. New applications, such as virtual reality and smart building control, have emerged due to the large number of resources and services brought by cloud computing. However, the delay-sensitive applications face the problem of large latency, especially when several smart devices and objects are getting involved in human?s life such as the case of smart cities or Internet of Things. Therefore, cloud computing is unable to meet the requirements of low latency, location awareness, and mobility support. To solve this problem, researchers have introduced a trusted and dependable solution through the Fog and the Mobile Edge Computing (FMEC) to put the services and resources of the cloud closer to users, which facilitate the leveraging of available services and resources in the edge networks. By this, we are moving from the core (cloud data centers) to the edge of the network closer to the users. FMEC dependability is based on providing user centric service. The purpose of Fog and the Mobile Edge Computing is to run the heavy real-time applications at the network edge directly using the billions of connected mobile devices. Several features enable the Fog and the Mobile Edge Computing to be a perfect paradigm to the aforementioned purpose, which are the dense geographical deployment of servers, supporting mobility and the closeness to users. As in every new technology, some challenges face the vision of the Fog and the Mobile Edge Computing, which are the administrative policies and security concerns (i.e. secure data storage, secure computation, network security, data privacy, usage privacy, location privacy, etc). FMEC 2026 conference aims to investigate the opportunities and requirements for Mobile Edge Computing dominance. In addition, it seeks for novel contributions that help mitigate Mobile Edge Computing challenges. That is, the objective of FMEC 2026 is to provide a forum for scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Fog and Mobile Edge Computing (FMEC). FMEC 2026 is Technically Co-Sponsored by IEEE Florida Section. Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to the following: - Fog and Mobile Edge Computing in unmanned aerial vehicle communications and applications - Fog and Mobile Edge Computing in mission-critical systems - Intelligent Transportation Systems - Edge-cloud computing architectures, frameworks and platforms - Edge-cloud networking and communication - Quality of Service (QoS) improvement techniques - Network virtualization for Edge-to-cloud systems - FMEC and IoT Data Communication Protocols - Industrial Fog and Mobile Edge Computing Applications - Mobile Cloud Computing Systems and Applications - FMEC in Environmental Sustainability - Trustworthy AI for Edge and Fog Computing - Security and Privacy in Fog and Mobile Edge Computing - Decentralized Data Management and Streaming Systems in FMEC - Data storage, processing, and management at FMEC platform - Federated learning and distributed machine learning in the fog and on the edge - 5G and fog/edge computing - Middleware and runtime systems for fog/edge infrastructures - Energy-efficient fog/edge computing - Edge/fog-to-cloud APIs and protocols - Mobility, connectivity, heterogeneity support for edge/fog services - Load balancing/scheduling in fog/edge computing - Crowdsourcing and establishing trust on data sources - Decision support systems for Edge-cloud computing - AI-based or data-driven orchestration of workflows in Edge computing - Automatic scheduling and deployment of workflows and services in Edge computing - Distributed management of Edge computing - Mechanisms and data structures for the governance of Edge computing - Interfaces, orchestration and optimization of the Networking-Computing continuum - In-network computing for the edge-cloud continuum - Novel programming models for Edge computing - Dynamic Edge/Fog environments - Automatic deployment and continuous dynamic composition of Edge services - Semantic annotation of Edge/Fog services - AI in Autonomous Urbanism *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FMEC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and 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 between 4 to 6 pages. *Important Dates:* - Paper Submission: *July 5, 2026 (Firm and Final)* - Notification to Authors: July 15, 2026 - Camera Ready Submission: July 30, 2026 *Contact:* Please send any inquiry on FMEC to: emergingtechnetwork at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From stm at socio.org.uk Thu Jun 25 02:42:43 2026 From: stm at socio.org.uk (STMet) Date: Thu, 25 Jun 2026 06:42:43 +0000 (UTC) Subject: Connectionists: RTIS 2026 In-Reply-To: References: <214468342237670400.0.v2@titan.email> Message-ID: <214468342237670400.0.v2@titan.email> An HTML attachment was scrubbed... URL: From pascal.fua at epfl.ch Thu Jun 25 03:41:31 2026 From: pascal.fua at epfl.ch (Pascal Fua) Date: Thu, 25 Jun 2026 07:41:31 +0000 Subject: Connectionists: Postdoc in an ML-Based Co-Design at EPFL Message-ID: <7A72F39F-6E11-4034-9701-28505DD816EF@epfl.ch> Mission The EPFL computer vision lab (https://www.epfl.ch/labs/cvlab/ ) is looking for a postdoctoral fellow to work on issues related to co-design for 3D shape and control along the lines described in the following tech report https://arxiv.org/ abs/2603.06760 . A potential targetapplication is the design of model gliders to compete in FAI competitions such as https:// www.fai.org/page/f5-electric-flight. Profile Potential candidates are expected to have: ? A doctorate in a Machine-Learning related field. ? A deep knowledge of Control Theory, both classical and deep learning based. ? A solid publication record in top level ML venues such as NeurIPs, ICML, and ICLR. ? Familiarity with aerodynamics and aircraft design would be a plus. We offer ? A stimulating and international working environment ? Competitive salary and excellent working conditions ? more information can be found on our website (https:// www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/) ? Opportunity to perform state-of-the-art research in one of the most dynamic scientific institutions in Europe. ? Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students Information To apply please send to Patricia Hjelt (patricia.hjelt at epfl.ch): ? A brief cover letter (pdf, up to 2 pages). And in one PDF: ? A CV with a publication list. ? A research statement (pdf, up to 3 pages). ? Contact details for 3 referees. Start date: Flexible (Fall 2026 preferred) Activity rate: 100% Contract type: CDD Duration: One year, renewable -------------------------------------------------------------------- Prof. P. Fua (Pascal.Fua at epfl.ch) Tel: 41/21-693-2623 Url: https://people.epfl.ch/pascal.fua/ -------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1373 bytes Desc: not available URL: From phitzler at googlemail.com Thu Jun 25 06:34:56 2026 From: phitzler at googlemail.com (Pascal Hitzler) Date: Thu, 25 Jun 2026 12:34:56 +0200 Subject: Connectionists: What is XAI? Survey Message-ID: <01bf0bf8-0126-40b9-87d6-d838dfb39003@googlemail.com> The XAI-2026 conference is going to conduct a big community survey on Explainable AI - starting July 3. See https://xaiworldconference.com/2026/community-research-study/ for more information. Pascal. -- Pascal Hitzler University Distinguished Professor Lloyd T. Smith Creativity in Engineering Chair Director, Center for AI and Data Science CAIDS Director, Inst. for Digital Agriculture and Adv. Analyt. ID3A Kansas State University http://www.pascal-hitzler.de http://www.daselab.org http://www.semantic-web-journal.net http://k-state.edu/ID3A https://neurosymbolic-ai-journal.com From emergingtechnetwork.publicity at gmail.com Thu Jun 25 16:50:00 2026 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Thu, 25 Jun 2026 23:50:00 +0300 Subject: Connectionists: GACLM 2026 CFP: IEEE co-sponsored 3rd International Generative AI and Computational Language Modelling Conference, 15 - 18 September 2026 | Abu Dhabi, UAE Message-ID: [Apologies if you got multiple copies of this invitation] The 3rd International Generative AI and Computational Language Modelling Conference (GACLM 2026) https://gaclm.org/2026/index.php 15 - 18 September 2026 | Abu Dhabi, UAE Hybrid Event and Technically Co-Sponsored by IEEE UAE Section *GACLM 2026 CFP:* With the emergence of Generative AI (GenAI), the world is experiencing a new era of generative models producing various types of data, including textual and visual data. This is accompanied by the unprecedented advancement of Computational Language Modeling (CLM) techniques that are supporting a wide range of downstream applications. Both Generative AI and Computational Language Modeling are leading the paradigm shift we are witnessing in Artificial Intelligence. The International Generative AI and Computational Language Modeling Conference (GACLM) addresses the architectures, applications, challenges, approaches, and future directions of this new era of Artificial Intelligence systems based on GenAI and CLM. We invite the submission of original papers on all topics related to GACLM, with special interest in, but not limited to, the following: ? Human-Centered Generative AI ? Natural Language Processing (NLP) ? Large Language Models (LLMs) ? Text generation, summarization, and question answering ? Sentiment analysis, misinformation detection, and emotion detection ? Machine translation and multilingual models ? Language comprehension, grammar and style checking, and complex reasoning ? Document processing and information retrieval ? Computer-Assisted Language Learning ? Adversarial machine learning and applications ? Generative adversarial networks (GANs) ? GenAI and diffusion models ? Federated and distributed learning for GenAI ? Fine-tuning and retrieval-augmented generation (RAG) ? Synthetic data generation and data augmentation ? Explainable AI (XAI) and trustworthy AI systems ? GenAI in healthcare, education, robotics, and smart cities ? GenAI for cybersecurity and Internet of Things (IoT) systems ? GenAI for sustainability and human good ? Computer vision, creative applications, and video generation ? GenAI ethics and governance *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 GACLM 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 (Firm and Final)* - Notification to Authors: July 15, 2026 - Camera Ready Submission: July 30, 2026 *Contact:* Please send any inquiry on GACLM to: info at gaclm.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From yhuang994 at gatech.edu Thu Jun 25 14:27:42 2026 From: yhuang994 at gatech.edu (Huang, Yinqi) Date: Thu, 25 Jun 2026 18:27:42 +0000 Subject: Connectionists: Survey on Medical LLM Message-ID: We are conducting a research study at Georgia Tech and invite you to share your perspective on technical, clinical, and policy considerations related to the use of large language models (LLMs) in medical triage. The survey takes approximately 20 minutes to complete: https://gatech.co1.qualtrics.com/jfe/form/SV_3NSozbeLH8UGC6G -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Fri Jun 26 05:31:13 2026 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Fri, 26 Jun 2026 11:31:13 +0200 Subject: Connectionists: =?utf-8?q?2nd_Call_for_Participation=3A_Internati?= =?utf-8?q?onal_Artificial_Intelligence_Summer_School_=E2=80=93_IAI?= =?utf-8?q?SS_2026=2C_Sept_20-24=2C_Riva_del_Sole_Resort_=26_SPA_?= =?utf-8?q?=40_Tuscany_*_Registration=3A_by_July_23_*?= Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * IAISS2026, A Residential Summer School in Frontier AI IAISS 2026 is a full-immersion 5-day Summer School in Tuscany on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. ? Riva del Sole Resort & SPA @ Tuscany, Italy, ? Sept 20-24, 2026 ? https://2026.iaiss.cc iaiss at icas.cc ? LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. Stefano V. Albrecht, Nanyang Technological University, Singapore Giuseppe De Giacomo, University of Oxford, UK Christoph Feichtenhofer, Meta Superintelligence Labs, USA Sven Giesselbach, T-Systems International, Germany 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 Sebastian Lins Risi, Sakana AI, Japan & IT University of Copenhagen, Denmark George Paliouras, National Center for Scientific Research "Demokritos", Athens, Greece Panos Pardalos, University of Florida, USA More Lecturers TBA ? https://2026.iaiss.cc/lecturers/ ? https://2026.iaiss.cc/lectures/ ? REGISTRATION: by July 23 (AoE) https://2026.iaiss.cc/registration/ Applicant *may* submit (during the Registration Process) a research abstract (max 2 pages; any format) for presentation. School directors and the scientific committee will review the abstracts and will recommend for poster and/or short talk. Abstract can be submitted by July 23 during the registration process. PAST EDITIONS: https://2026.iaiss.cc/previous-editions/ IAISS Norbert Wiener Best Presentation Award in Artificial Intelligence: https://2026.iaiss.cc/best-presentation-award/ VENUE: https://2026.iaiss.cc/venue/ Riva del Sole Resort & SPA Localit? Riva del Sole? Castiglione della Pescaia (Grosseto) CAP 58043? Tuscany? Italy p: +39-0564-928111 e: booking.events at rivadelsole.it w: https://www.rivadelsole.it/en/ ? CERTIFICATE & 8 ECTS: The International Artificial Intelligence Summer School ? IAISS 2026 is a full-immersion five-day Summer School at the Riva del Sole Resort & SPA (Castiglione della Pescaia ? Grosseto ? Tuscany, Italy) on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. The Summer School 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 IAISS attendants. The Summer School 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 Summer School. Language: English. To participate in the IAISS 2026, all attendants must (1/2) register for the school (by July 23, 2026) and (2/2) book accommodation at the school venue, ?Riva del Sole Resort & SPA? (by July 23, 2026); all attendants must stay at the ?Riva del Sole Resort & SPA?. Once accommodation has been booked at ?Riva del Sole Resort & SPA?, the participant must send this information (including the Booking Number) to the IAISS organizing committee (iaiss at icas.cc). IAISS is a residential school, 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, please send to the Hotel ( booking.events at rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book an apartment in single use. IAISS is organized as a non-profit scientific event. Please note that only IAISS 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 IAISS 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 IAISS 2026 should register as soon as possible: ? https://2026.iaiss.cc/registration/ See you in Riva del Sole in September! IAISS 2026 Organizing Committees. https://2026.iaiss.cc iaiss at icas.cc https://www.linkedin.com/groups/19146028/ Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: https://2026.iaiss.cc the News Section: https://2026.iaiss.cc/category/news/ and the FAQ: https://2026.iaiss.cc/faq/ * Apologies for multiple copies. Please forward to anybody who might be interested, thanks! * -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Jun 27 05:47:49 2026 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 27 Jun 2026 11:47:49 +0200 (CEST) Subject: Connectionists: GeMAIHc 2027: early registration July 14 Message-ID: <120422250.84248.1782553670057@webmail.strato.com> ******************************************************** 1st INTERNATIONAL SCHOOL ON GENERATIVE & MULTIMODAL AI FOR HEALTHCARE GeMAIHc 2027 Milan, Italy February 1-5, 2027 https://gemaihc.irdta.eu/2027/ ******************************************************** Co-organized by: Human Technopole IRDTA ? Institute for Research Development, Training and Advice ****************************************************** Early registration: July 14, 2026 ****************************************************** SCOPE AI is rapidly redefining biomedical research, clinical decision-making, and healthcare delivery worldwide. GeMAIHc 2027 will provide participants with a comprehensive overview of state-of-the-art AI methodologies. Topics will include generative modelling, multimodal data integration and augmentation, large language models and clinical NLP, medical image synthesis and analysis, as well as evaluation, robustness, validation, ethical considerations, and regulatory aspects of AI systems in healthcare. GeMAIHc 2027 aims to become a leading international forum at the intersection of generative AI, multimodal learning, and healthcare innovation. The program will emphasize both methodological foundations and real-world clinical applications, combining theoretical insights with practical perspectives. This interdisciplinary event will feature 18 monographic three-hour courses, 2 keynote lectures, 1 symposium, 4 local presentations, and hands-on activities with a hackathon. Leading academics and industry pioneers will share their expertise and perspectives with attendees. In-person interaction and networking will be central components of the event, while full remote participation will also be possible. ADDRESSED TO The program is open to PhD students and postdoctoral researchers in AI, data science, and biomedical disciplines, clinicians and healthcare professionals, industry practitioners and innovators, and policymakers and stakeholders in digital health. There are no formal academic prerequisites for participation. Researchers and professionals at all career stages are welcome. An international audience is expected, with backgrounds spanning computer science, medicine, engineering, mathematics, statistics, physics, and the social sciences. GeMAIHc 2027 will offer a unique opportunity to gain in-depth knowledge of a rapidly evolving field, to interact with experts across disciplines, to establish collaborations and expand professional networks, and to explore how AI is reshaping the future of healthcare. VENUE GeMAIHc 2027 will take place in Milan, one of Europe?s leading international centers for science, industry, fashion, and finance. The venue will be: Human Technopole Viale Rita Levi-Montalcini, 1 20157 Milan, Italy https://humantechnopole.it/en/ STRUCTURE Three parallel courses will run throughout the event. Participants will be free to choose the sessions they wish to attend and may move between courses at any time. A symposium will offer participants and companies the opportunity to present ongoing research or industrial developments through 10-minute oral presentations. The school will include a hackathon, during which participants will work in teams to tackle challenges in generative and multimodal AI for healthcare. All lectures will be video recorded and made available to participants for 45 days after the event. Full live online participation will be possible. Nevertheless, the organizers emphasize the importance of in-person interaction and networking in research training events of this kind. KEYNOTE SPEAKERS Deborah Estrin (Cornell University), Transforming Longitudinal Care with Digital Biomarkers and Therapeutics Lyle Palmer (Adelaide University), Deep Learning in Medicine: Some Lessons from Epidemiology and Genomics PROFESSORS AND COURSES (list to be completed) Pierre Baldi (University of California Irvine), [introductory/advanced] The AI-driven Healthcare of the Future Alejandro Frangi (University of Manchester), [intermediate/advanced] Virtual Patient Populations for In Silico Trials Using Generative AI Based on Multimodal Real-World Data Charles Friedman (University of Michigan), [introductory] Synergizing AI and Learning Health Systems to Transform Health Judy Wawira Gichoya (Emory University), [introductory/advanced] Combination in a Hands on Lab for Harmonizing Radiology Datasets Maryellen Giger (University of Chicago), [introductory/intermediate] Role of Data & Algorithms in Trustworthy Medical Imaging AI Casey Greene (University of Colorado), [introductory/advanced] Translating Generative AI into Healthcare from Pharmacogenomics to Foundation Models Tina Hernandez-Boussard (Stanford University), [intermediate/advanced] The AI Lifecycle in Healthcare: Evaluation, Deployment, and Responsible Implementation Jianying Hu (IBM Thomas J. Watson Research Center), [intermediate/advanced] Advanced Computing for Biomedical Research and Discovery Jayashree Kalpathy-Cramer (University of Colorado), [introductory] Toward Digital Twins: Multimodal AI for Imaging and Precision Medicine Alex John London (Carnegie Mellon University), [intermediate/advanced] Ethical and Scientific Challenges to Unlocking the Clinical Value of Artificial Intelligence Faisal Mahmood (Harvard University), tba Tom Pollard (Massachusetts Institute of Technology), tba Hoifung Poon (Microsoft Research), [advanced] Toward Virtual Patient: AI for Accelerating Medical Discovery Jian Tang (Mila-Qu?bec AI Institute), [introductory/advanced] Generative AI for Protein Design Peter van Ooijen (University of Groningen), [intermediate] Multimodal AI for Adaptive Radiotherapy: Tumor Segmentation, Uncertainty, and Explainability Karin Verspoor (Royal Melbourne Institute of Technology), [introductory/intermediate] AI Scientists and beyond: Roles for GenAI in Biomedical Research and Discovery Jelmer M. Wolterink (University of Twente), [intermediate/advanced] Data Representations in Health Digital Twinning: From Features to Foundation Models SYMPOSIUM A symposium will feature voluntary 10-minute oral presentations on ongoing research projects and industrial developments. Participants interested in presenting should submit a one-page abstract including title, authors, and summary to david at irdta.eu by January 8, 2027. HANDS-ON ACTIVITIES Hands-on team activities will be organized around challenges in generative and multimodal AI for healthcare. The challenges will be released two weeks before the beginning of the school. A jury will evaluate the submissions, and the winners will be announced at the end of February 2027. Winning teams will receive a modest monetary prize, while runners-up will receive certificates of recognition. ORGANIZING COMMITTEE Jan Funke (Milan) Ilaria Guerini (Milan) Francesca Ieva (Milan) Carlos Mart?n-Vide (Tarragona, program chair) Michela Carlotta Massi (Milan, local chair) Santiago Montes (Tarragona, webpage) Sara Morales (Luxembourg, finances) David Silva (London, organization chair) REGISTRATION Registration is available at: https://gemaihc.irdta.eu/2027/registration/ The selection of six courses requested during registration is tentative and non-binding. This information will help estimate demand for logistical planning purposes. As venue capacity is limited, registrations will be processed on a first-come, first-served basis. Registration will close once capacity has been reached. Early registration is strongly recommended. FEES Registration fees include access to all school activities and lunches. Several early registration deadlines are available, and fees vary depending on the registration period. Fees are identical for on-site and online participation. ACCOMMODATION Accommodation suggestions will be provided in due time at: https://gemaihc.irdta.eu/2027/accommodation/ CERTIFICATE Participants will receive a certificate indicating 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS recognition from their home institutions. SPONSORS Companies, institutions, and organizations interested in sponsoring the event may download the sponsorship leaflet from: https://gemaihc.irdta.eu/2027/sponsors/ QUESTIONS AND FURTHER INFORMATION david at irdta.eu ACKNOWLEDGMENTS Human Technopole Universitat Rovira i Virgili IRDTA ? Institute for Research Development, Training and Advice -------------- next part -------------- An HTML attachment was scrubbed... URL: From ai at okipublishing.com Sat Jun 27 11:38:05 2026 From: ai at okipublishing.com (AI Systems) Date: Sat, 27 Jun 2026 10:38:05 -0500 Subject: Connectionists: CFP due July 15: CAIS 2026 Automated and Intelligent Systems, Oct 1-2, Online & OKCity, USA In-Reply-To: <0dedde45277db2e02b30019153cfbf8c@okipublishing.com> References: <49f25235d7cf3f5c1daa061ad7d7d59d@okipublishing.com> <490dc9ffcd5f837bd1d08ab1587814a5@okipublishing.com> <0dedde45277db2e02b30019153cfbf8c@okipublishing.com> Message-ID: [Apologies for cross-posting] --- Call for Abstracts and Papers ------------- 2026 OkIP International Conference on Automated and Intelligent Systems (CAIS) Online & Oklahoma City, OK, USA October 1-2, 2026 https://eventutor.com/e/CAIS006 Submission Deadline: July 15, 2026 OkIP Published & Submission for Indexation Extended versions of the best papers will be considered for publication in the inaugural volume of the International Journal of Automated and Intelligent Systems. Areas: - AI, Machine/Deep Learning (ML/DL), and Applications - Agent-based, Automated, and Distributed Supports - Natural Language Processing (NLP) - Intelligent Systems and Applications - Knowledge-based and Control Supports - Automation, Robotics, and Vehicles - Global AI - Generative AI Tools and Models - AI in Computing and Society - AI in Education - AI Engineering - Software Engineering for AI - Circuit, Design, and Hardware for AI - ... More details are here: https://eventutor.com/event/80/program Important Dates:- Abstract or Paper Submission: July 15, 2026 - Author Notification: August 1-15, 2026 - Camera Ready Paper Submission, Registration: August 7-22, 2026 - Conference Date: October 1-2, 2026 Contribution Types (Two-Column Format Style):- Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (1 page) Technical Program Committeehttps://eventutor.com/event/80/page/221-committee Please feel free to contact us for any inquiries at: Kris Zeuti OkIP Secretariat info at okipublishing.com From kerkoucheraouf at gmail.com Mon Jun 29 05:11:32 2026 From: kerkoucheraouf at gmail.com (Raouf Kerkouche) Date: Mon, 29 Jun 2026 11:11:32 +0200 Subject: Connectionists: [PhD position] Privacy in Agentic AI - CNRS/Inria, France Message-ID: Dear all, We are looking for a motivated PhD student to work on privacy evaluation and enforcement in agentic AI systems, starting Fall 2026. This is a fully funded position based in France. LLM-based agents are increasingly used to act autonomously on behalf of users (travel planning, e-commerce, healthcare, code generation...), interacting with external tools, APIs and other agents. This raises serious privacy concerns: sensitive user data flows through perception, planning and action stages, and can be leaked, misused or extracted by malicious or compromised components. Recent work has started addressing prompt injection and access control in agentic systems, but little has been done on actually assessing and mitigating the privacy risks of these data flows. The PhD will be co-supervised by Sonia Ben Mokhtar (CNRS, LIRIS, Lyon), Raouf Kerkouche (Inria Lille) and Mohamed Maouche (Inria Lyon). The work will follow two directions: (1) building a risk assessment toolbox to evaluate privacy risks on both the client side (re-identification risk of user data/intent) and the server side (sensitivity of action plans, trustworthiness of invoked tools/APIs); (2) designing privacy-enhancing technologies (anonymization, confidential computing, privacy proxies) to protect user data across the agentic pipeline. We are looking for a candidate with a Master's degree (or final-year MSc) in Computer Science, a solid background in machine learning and/or NLP and/or security/privacy, and good programming skills. Prior research experience (internship, publications) is a plus but is not a prerequisite, and we are mainly looking for a self-motivated student who wants to conduct impactful research and publish in top-tier AI/ML and Security & Privacy venues. To apply, please send a CV, your transcripts of records (Bachelor + Master or equivalent), a motivation letter, and the names/contacts of two referees to sonia.ben-mokhtar at cnrs.fr, raouf.kerkouche at inria.fr and mohamed.maouche at inria.fr. Best regards, Sonia Ben Mokhtar, Raouf Kerkouche, Mohamed Maouche -------------- next part -------------- An HTML attachment was scrubbed... URL: From ozgur.simsek at gmail.com Mon Jun 29 04:38:21 2026 From: ozgur.simsek at gmail.com (=?utf-8?B?w5Z6Z8O8ciDFnmltxZ9law==?=) Date: Mon, 29 Jun 2026 10:38:21 +0200 Subject: Connectionists: Permanent faculty position in AI and machine learning at the University of Bath Message-ID: Lecturer, Senior Lecturer, or Reader (Assistant/Associate Professor) at the University of Bath Dear Colleagues, The Department of Computer Science wishes to appoint a new Lecturer, Senior Lecturer, or Reader (Assistant/Associate Professor) in AI and machine learning. All research areas will be considered. We particularly encourage applications that focus on Natural Language Processing, Reinforcement Learning, or AI Security/Assurance/Verification. This is a permanent position with no tenure process. The start date is flexible. Applications will be evaluated on a rolling basis. We will continue to receive applications until the position is filled. The University of Bath is based in an attractive, single-site campus that facilitates multi-disciplinary research. It is located on the edge of the World Heritage City of Bath and offers the lifestyle advantages of working and living in one of the most beautiful areas in the UK. For more information and to apply, please visit: https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=AS13762 -------------- next part -------------- An HTML attachment was scrubbed... URL: From prkkpatel at gmail.com Sun Jun 28 07:27:51 2026 From: prkkpatel at gmail.com (KK Patel) Date: Sun, 28 Jun 2026 16:57:51 +0530 Subject: Connectionists: CFP: 1st iwAIIS 2026 Singapore Scopus-indexed Springer CCIS Message-ID: Sincere apologies for the multiple postings. CALL FOR PAPERS [image: Springer] iwAIIS 2026First International Workshop on Artificial Intelligence and Intelligent Systems Singapore | December 08?09, 2026 https://iwaiis.org/ Submit Your Paper Dear Professor, Greetings! I am pleased to inform you that the *First International Workshop on Artificial Intelligence and Intelligent Systems (iwAIIS 2026)* will be organized on *December 08?09, 2026* in *Singapore*. iwAIIS2026 is in conjunction with the 8th International Conference on Soft Computing and its Engineering Applications (icSoftComp 2026) . We warmly invite you to contribute and/or circulate this Call for Papers among colleagues and research groups interested in publishing original research contributions. About the Workshop iwAIIS 2026 focuses on recent advances in Artificial Intelligence, intelligent systems, and multidisciplinary applications. The workshop serves as an international forum for researchers, educators, practitioners, and industry professionals to present innovative research, exchange ideas, and discuss emerging trends and challenges. The technical program will include: - Research paper presentations - Keynote addresses - Panel discussions - Poster sessions Important Notes - Double-blind peer review process - Proceedings published by Springer CCIS (Scopus-indexed) - Hybrid mode (Physical + Online) - Selected papers invited for extended journal versions Distinguished Speakers - Lipo Wang ? Nanyang Technological University, Singapore - Jochen Wirtz ? National University of Singapore - Kay R?mer ? TU Graz, Austria - Joao M.F. Rodrigues ? Universidade do Algarve, Faro, Portugal - Ankit Agrawal ? Northwestern University, USA - JingTao Yao ? University of Regina, Saskatchewan, Canada - Massimiliano Cannata ? SUPSI, Switzerland - Shilpa Gite ? Dr. D. Y. Patil Vidyapeeth, Pune, India Topics of InterestTrack 1: AI Foundations - Agentic AI - Cognitive computing - Computer vision - Data-Centric AI - Emotion AI - Evolutionary Computation - Explainable AI (XAI) - Federated learning - Graph theory - Generative and multimodal AI - Knowledge representation and reasoning - Knowledge discovery in Data - Learning and Reasoning - Large Language Models and NLP - Neural Networks and Deep Learning - Machine Learning - Multimodal AI - Privacy-Preserving AI - Responsible and Trustworthy AI - Robotics - Reinforcement learning - Swarm Intelligence - AI ethics and governance - Hybrid AI models Track 2: AI for Multidisciplinary Applications - AI for business management, finance, and economics - AI in the civil engineering and construction industry - AI for cloud and edge computing - AI for healthcare and medicine - Biotechnology - Drug discovery and pharmaceutical industry applications - Earth and Geological Applications - AI for Fintech - AI for heritage management - AI for environmental science and engineering - Creative and educational AI applications - Geo-informatics and remote sensing - Precision Agriculture - AI for privacy and security - Signal processing - AI for sustainability - AI for transportation and logistics Track 3: AI for Intelligent Systems - Assistive Systems - AI-powered unmanned systems - Military and defence systems - Cyber-Physical Systems - Intelligent IoT and embedded systems - Intelligent manufacturing systems - Remote surgery - Enterprise Resource Planning (ERP) systems - Expert systems and Knowledge-based systems - Multi-Agent systems - Real-time complex systems - Robotics and autonomous systems Important Dates *Submission Due* 15 July 2026 *Acceptance Notification* 15 August 2026 *Camera Ready Submission* According to notification *Registration Deadline* According to notification *Workshop Dates* 08?09 December 2026Publication and Indexing Accepted and presented papers will be published in the prestigious *Springer Communications in Computer and Information Science (CCIS)* series. Indexed by: - Scopus - Ei Compendex - Google Scholar - SpringerLink Journal Publication Authors of selected papers will be invited to submit extended versions to special issues of peer-reviewed journals. Please let us know if you need any additional information. Warm regards, ------------------------------ *K. K. Patel, Ph.D.Charotar University of Science and TechnologyChanga, IndiaWhatsApp: +91-8200103724Email: kanupatel.mca at charusat.ac.in * Submit Your Paper -------------- next part -------------- An HTML attachment was scrubbed... URL: From carriecongrc at gmail.com Mon Jun 29 12:30:59 2026 From: carriecongrc at gmail.com (Ruichen Cong) Date: Tue, 30 Jun 2026 01:30:59 +0900 Subject: Connectionists: CFP: 2026 IEEE CyberSciTech / DASC / PICom / CBDCom Co-located Conferences - Melbourne, Australia, November 9-13, 2026 Message-ID: [Our apologies if you receive multiple copies of this CFP] 2026 IEEE CyberSciTech / DASC / PICom / CBDCom Co-located Conferences http://cyber-science.org/2026/ November 9-13, 2026, Melbourne, Australia Co-Located Conferences -------------------------- The 11th IEEE Cyber Science and Technology Congress (CyberSciTech 2026) The 24th IEEE International Conference on Pervasive Intelligence and Computing (PICom 2026) The 24th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2026) The 12th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2026) These conferences serve as a premier forum for sharing advances in cyber-related science, pervasive computing, dependable systems, big data, and cloud computing. IMPORTANT DATES ----------------------------------------------- Workshop/SS Proposal Due: Jul. 10, 2026 Regular Paper Submission Due: Jul. 15, 2026 WiP/Wksp/SS Paper Due: Aug. 15, 2026 Late Breaking Submission Due: Aug. 20, 2026 Author Notification: Sep. 01, 2026 Paper Registration Due: Sep. 24, 2026 Camera-ready Submission Due: Oct. 01, 2026 2026 IEEE CyberSciTech / DASC / PICom / CBDCom Co-located Conferences CALLS ---------------------------------- For original papers in: * Regular Tracks: 6 pages in minimum * WiP/Workshop/Special Session Tracks: 4 pages in minimum * LBI (Late Breaking Innovation) Track: 4-8 pages * LBI papers should present cutting-edge research across all CyberSciTech/DASC/PICom/CBDCom topics. LBI submissions will undergo a review process, and those accepted will be included in the conference program as either Regular or work-in-progress (WiP) papers, based on their quality, novelty, and completeness. * All accepted regular and work-in-progress (WiP) papers as well as workshop and special session (SS) papers will be published by IEEE CPS as Conference Proceedings (IEEE-DL and EI indexed). Selected high quality papers will be recommended to prestigious journal special issues. SUBMISSION GUIDELINES ---------------------------------- Authors are invited to submit their original work that has not previously been submitted or published in any other venue. Regular, work-in-progress (WiP), and Workshop/SS papers all need to be in IEEE CS format ( https://www.ieee.org/conferences/publishing/templates.html) Hosted by RMIT University, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: From Salvador.Dura-Bernal at downstate.edu Mon Jun 29 17:41:56 2026 From: Salvador.Dura-Bernal at downstate.edu (Salvador Dura-Bernal) Date: Mon, 29 Jun 2026 21:41:56 +0000 Subject: Connectionists: =?windows-1252?q?Postdoctoral_Fellow_=96_Generati?= =?windows-1252?q?ve_AI_for_Mental_Health_at_the_Global_Center_for_AI_in_M?= =?windows-1252?q?ental_Health_=28GCAIMH=29_in_New_York?= In-Reply-To: References: Message-ID: Postdoctoral Fellow ? Generative AI for Mental Health Global Center for AI in Mental Health (GCAIMH) University at Albany (SUNY) and SUNY Downstate Health Sciences University Two-Year Fellowship Position Summary The Global Center for AI in Mental Health (GCAIMH), a collaboration between the University at Albany and SUNY Downstate Health Sciences University, seeks an outstanding Postdoctoral Fellow in Generative Artificial Intelligence to advance innovative AI solutions that improve mental health access, quality, and outcomes at scale. This position is funded through the Empire AI Postdoctoral Fellows Program and offers a unique opportunity to work at the intersection of artificial intelligence, mental health, global health, and public-good technology. Working closely with an interdisciplinary team of researchers, clinicians, computer scientists, and global health partners across SUNY institutions and international collaborators, the Fellow will contribute to the research, design, development, deployment, and evaluation of cutting-edge generative AI tools that support both frontline mental health interventions and evidence-based psychotherapy. Research Focus The Fellow will play a leading role in the development and evaluation of AI-powered initiatives for expanding access and equity in mental health, including but not limited to: JulienPFA: An AI-supported implementation tool designed to strengthen Psychological First Aid (PFA) delivery during humanitarian crises, disasters, terrorism, and mass violence events. The system offers just-in-time guidance to non-specialist providers while supporting implementation fidelity, workforce development, and ethical learning systems. TherAssist: A clinician-facing generative AI platform that supports psychotherapists delivering evidence-based treatments for anxiety and depression through real-time analysis, personalized treatment recommendations, and fidelity monitoring. Responsibilities The successful candidate will: * Research, design, develop, and evaluate generative AI models for mental health applications. * Deploy and use retrieval-augmented generation (RAG) to constrain large language models (LLMs) and multimodal AI systems. * Conduct research using large-scale clinical, behavioral, and linguistic datasets. * Utilize Empire AI computing resources for model training, evaluation, and deployment. * Develop methods for responsible, ethical, and explainable AI in healthcare settings. * Collaborate with clinicians, mental health researchers, software engineers, and data scientists. * Publish findings in peer-reviewed journals and present at national and international conferences. * Contribute to grant proposals and research dissemination activities. * Mentor graduate and undergraduate students involved in AI and mental health research. * Support partnerships with international collaborators focused on global mental health innovation. Required Qualifications * Ph.D. completed by start date, and not more than 5 years ago, in Computer Science, Artificial Intelligence, Machine Learning, Information Science, Data Science, Computational Neuroscience, Biomedical Informatics, or a closely related social science field with demonstrated skills and experience in computer science/artificial intelligence/machine learning. * Demonstrated expertise with large language models, retrieval-augmented generation (RAG), agentic AI systems, and/or multimodal AI. * Strong programming skills in Python and experience developing web-based AI applications with modern frameworks (e.g., Google Cloud Vertex, Gemini, CloudRun, Kubernetes, Firebase). * Experience working with large datasets and high-performance computing environments. * Strong publication record or evidence of research productivity. * Excellent written and verbal communication skills, including the ability to communicate clearly and effectively about complicated scientific topics with a range of audiences. * Ability to work effectively in interdisciplinary and collaborative research environments. Preferred Qualifications * Experience applying AI to healthcare, mental health, psychology, or social science domains. * Familiarity with responsible AI, AI ethics, fairness, privacy, and safety considerations. * Knowledge of natural language processing, speech analysis, or conversational AI systems. * Experience working with clinical or healthcare data. Research Environment The mission of GCAIMH is to leverage artificial intelligence to improve mental health as a public good through innovative research, workforce development, and scalable solutions with local and global impact. See website: https://gcaimh.org. To support this mission, the Fellow will have access to Empire AI's state-of-the-art high-performance computing infrastructure, enabling research that requires large-scale AI model training and evaluation. Appointment Details * Position Title: Postdoctoral Fellow, Generative AI for Mental Health * Appointment Length: Two years * Salary Range: $85,000 annually, plus benefits. * Location: The position will be physically located at the University at Albany with occasional site visits to SUNY Downstate in Brooklyn. Hybrid arrangements will be considered. * Start Date: Fall 2026 (anticipated) Application Instructions Applicants should submit: 1. Cover letter describing research interests and fit for the position 2. Curriculum vitae 3. Representative publications or writing samples 4. Contact information for three professional references Submit application materials to: Amy Nitza, Ph.D. Director, Global Center for AI in Mental Health University at Albany anitza at albany.edu Review of applications will begin immediately. The position will remain open till filled. Commitment to Public Impact This position offers a rare opportunity to develop AI technologies that address critical challenges in mental health care, including workforce shortages, treatment quality, implementation fidelity, and equitable access to services worldwide. The successful candidate will contribute to innovations designed to improve mental health outcomes for diverse populations while advancing responsible and ethical AI development. ________________________________ The contents of this email message and any attachments are confidential and are intended solely for the addressee. The information may also be legally privileged. This transmission is sent in trust, for the sole purpose of delivery to the intended recipient. If you have received this transmission in error, any use, reproduction or dissemination of this transmission is strictly prohibited. If you are not the intended recipient, please immediately notify sender by reply email or by (718) 270-HELP. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sarathcse2008 at gmail.com Mon Jun 29 23:11:25 2026 From: sarathcse2008 at gmail.com (Sarath Chandar) Date: Mon, 29 Jun 2026 23:11:25 -0400 Subject: Connectionists: [CoLLAs Seminar][1st July 10am CET] Zeynep Akata on "Explainable and Adaptive Multimodal AI" Message-ID: Dear all, We are excited to bring you the third talk of the monthly CoLLAs Seminar Series, which has an excellent line-up of speakers from around the world: https://lifelong-ml.cc/seminar With this series, we aim to bring together researchers working on continual, lifelong, and adaptive machine learning to share new ideas, and foster community-wide dialogue! Our next talk will be by *Zeynep Akata *on *July 1 at 10:00 AM CET*. *Title*: Toward Explainable and Adaptive Multimodal AI *Abstract*: Modern AI systems are increasingly expected to integrate information across vision, language, time, and domain-specific signals, while remaining reliable, interpretable, and adaptable after deployment. In this talk, I will discuss how we can move from static foundation models toward multimodal systems that can be adapted, inspected, and improved in a principled way. I will present recent work from my group on vision-language learning, model adaptation, multimodal alignment, and explainability, with an emphasis on understanding when models rely on meaningful visual evidence, when they fail to integrate modalities, and how such failures can guide more robust learning. I will also outline a broader research agenda for explainability-guided adaptation: using interpretability not only to explain models after the fact, but as a mechanism for correcting, merging, and continuously improving multimodal AI systems. *Speaker bio*: Zeynep Akata is a Liesel Beckmann Distinguished professor of Computer Science at Technical University of Munich and the director of the Institute for Explainable Machine Learning at Helmholtz Munich. After completing her PhD at the INRIA Rhone Alpes with Prof Cordelia Schmid (2014), she worked as a post-doctoral researcher at the Max Planck Institute for Informatics with Prof Bernt Schiele (2014-17) and at University of California Berkeley with Prof Trevor Darrell (2016-17) and as an assistant professor at the University of Amsterdam with Prof Max Welling (2017-19). Before moving to Munich in 2024, she was a professor of computer science (W3) within the Cluster of Excellence Machine Learning at the University of T?bingen. She received a Lise-Meitner Award for Excellent Women in Computer Science from Max Planck Society in 2014, a young scientist honour from the Werner-von-Siemens-Ring foundation in 2019, an ERC-2019 Starting Grant from the European Commission, The DAGM German Pattern Recognition Award in 2021, The ECVA Young Researcher Award in 2022 and the Alfried Krupp Award in 2023. Her research interests include multimodal learning and explainable AI. *Zoom*: https://polymtl-ca.zoom.us/j/84066718835?pwd=2cpVMN2XjRXyZrngOFBJSO3Fwifywo.1 We look forward to seeing you there! Best regards, Sarath Chandar On behalf of the CoLLAs Seminar Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From luca.virgili at staff.univpm.it Tue Jun 30 08:12:55 2026 From: luca.virgili at staff.univpm.it (LUCA VIRGILI) Date: Tue, 30 Jun 2026 12:12:55 +0000 Subject: Connectionists: =?windows-1252?q?=5BWorkshop=5D=A0Call=A0for=A0Pa?= =?windows-1252?q?pers=A0-=A0GLOW=A0Workshop=A0=40=A0ISWC=2726?= Message-ID: ---------------------------------------- GLOW Workshop @ ISWC'26 - Call for Papers ---------------------------------------- 2nd Workshop on Graph-enhanced LLMs for trustwOrthy Web data management (GLOW) October 25-26, 2026, held as part of the International Semantic Web Conference (ISWC'26) https://glow-workshop.github.io/iswc2026/ ---------------------------------------- Workshop description The recent growth of Large Language Models (LLMs) has expanded possibilities in data management, enabling powerful natural language access, reasoning, and decision support. However, reliability and trustworthiness remain major challenges when deploying LLMs in sensitive domains. Graph-based representations of knowledge and data (e.g., knowledge graphs and property graphs) provide a promising avenue to address these challenges. LLMs generate fluent responses but often struggle with factuality, bias, hallucinations, and a lack of explainability. Graphs, on the other hand, provide structured, interconnected representations that can serve as grounding and validation layers for LLM-based systems. In this context, Semantic Web technologies offer standardized graph-based frameworks (e.g., RDF and ontologies) to formally model, link, and reason over knowledge. We invite submissions that address, but are not limited to, the following themes: * Detection and mitigation of hallucinations, bias, and misinformation in LLMs using graph-based techniques. * Property graphs as a foundation for profiling, reliability, and LLM-grounded reasoning. * Querying property graphs with natural language interfaces powered by LLMs. * LLMs as assistants for constructing and validating reliable knowledge graphs. * Agentic AI for structured reasoning and decision-making over graph-based knowledge. * Semantic Web standards for grounding and verifying LLM-generated outputs. * Ontology-based reasoning and neuro-symbolic approaches for trustworthy LLM-driven systems. * Integration of Knowledge Graphs for retrieval-augmented generation and fact-checking. * Applications of LLMs combined with Semantic Web technologies for reliable Web-scale data management, scientific knowledge representation, and enterprise knowledge graphs. * Evaluation benchmarks and metrics for reliability and trustworthiness in graph-enhanced LLMs. ---------------------------------------- Paper Submission Procedure We invite research, industry, application contributions, and software demonstration submissions. Regular papers presenting original work are solicited. Moreover, discussion papers containing descriptions of results already published are also welcomed. There are two submission formats: * Regular papers (up to 12 pages + references). Original research works. Regular papers must be original and not simultaneously submitted to another journal or conference. * Discussion papers (up to 8 pages + references). Results and ideas of interest to the workshop audience, including extended abstracts of recent authors? publications, papers currently under submission, position papers, system and application descriptions, and presentations of preliminary results. Paper selection will be based on originality, clarity, and technical quality. Submissions of papers must be in English, in PDF format, and formatted following the new CEUR-ART 1-column style, which is the style requested for the camera-ready preparation (Overleaf template). Accepted papers will be included in the proceedings. Proceedings will be published on CEUR-WS.org and indexed in Scopus. After acceptance, authors are required to re-submit the final PDF. ---------------------------------------- Important dates All deadlines are Anywhere on Earth (AoE). * Paper submission: July 14, 2026 * Author notification: August 11, 2026 * Workshop: October 25-26, 2026 ---------------------------------------- Organization * Gianluca Bonifazi, Marche Polytechnic University * Stefano Cirillo, University of Salerno * Eliana Pastor, Polytechnic University of Turin * Luca Virgili, Marche Polytechnic University -------------- next part -------------- An HTML attachment was scrubbed... URL: From epiasini at sissa.it Tue Jun 30 08:02:54 2026 From: epiasini at sissa.it (Eugenio Piasini) Date: Tue, 30 Jun 2026 12:02:54 +0000 Subject: Connectionists: 2026 INCTN meeting @ Trieste, Italy - 22-24 Sept - abstract submission deadline approaching Message-ID: Dear all, This is a reminder that the abstract submission deadline is approaching for the 2026 meeting of the Italian Network for Computational and Theoretical Neuroscience, which will take place from September 22-24th in Trieste. Submit your abstract by July 10th! We look forward to a great programme with invited and contributed talks on Computational, Theoretical, and Systems Neuroscience, led by keynotes from M?t? Lengyel, Sandro Romani, and Fanny Cazettes. We will also have a number of contributed talks and poster sessions to give everybody an opportunity to share their research; and finally, there will be ample time for discussions by the sea side. Please visit our website to see the full lineup of invited speakers and for more information: https://inctn.it/ or register directly here. We look forward to seeing you all in Trieste ! The organisers: Francesca Mastrogiuseppe, Eugenio Piasini, and Sebastian Goldt -------------- next part -------------- An HTML attachment was scrubbed... URL: From umberto.ferraro at uniroma1.it Tue Jun 30 07:41:23 2026 From: umberto.ferraro at uniroma1.it (Umberto Ferraro Petrillo) Date: Tue, 30 Jun 2026 13:41:23 +0200 Subject: Connectionists: [CIBB2026] - Free pre-conference Tutorial on Reverse Engineering of Gene Regulatory Networks (Rome, Sept 1) Message-ID: ================================================================== CIBB 2026: FREE PRE-CONFERENCE TUTORIAL ON REVERSE ENGINEERING OF GENE REGULATORY NETWORKS ================================================================== Dear all, We would like to bring to your attention a free pre-conference event focused on a problem of broad methodological interest: Tutorial on Reverse Engineering of Gene Regulatory Networks, taking place on September 1, 2026, at Sapienza University of Rome. The tutorial, organized by Young InfoLife in collaboration with CIBB 2026, provides a hands-on introduction to the inference of gene regulatory networks (GRNs) from transcriptomic data. GRN inference is a representative problem of biological network learning that combines correlation, mutual information, and regression-based approaches, with broader connections to representation learning and graph inference. The tutorial is accessible also to participants approaching this domain for the first time. The event is free of charge and open to anyone, including those not attending the main conference. Registration is required due to limited seats. The tutorial is part of CIBB 2026, the 21st International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, taking place at Sapienza University of Rome from September 2 to 4, 2026. Confirmed invited speakers include Nicola Segata (University of Trento) and Pavel Pevzner (UCSD). Registration to the main conference is now open, with special rates for students and PhD candidates. Best regards, CIBB 2026 General Chairs ================================================================== KEY INFORMATION ================================================================== Tutorial date: September 1, 2026 (afternoon) Conference dates: September 2-4, 2026 Location: Sapienza University of Rome, Rome, Italy Website: https://cibb2026.teralab.ai Contact: cibb2026 at uniroma1.it Tutorial details and registration: https://cibb2026.teralab.ai/satellite-events/reverse-engineering-gene-regulatory-networks/ Conference registration: https://cibb2026.teralab.ai/registration ================================================================== TUTORIAL CONTENT ================================================================== Speakers: Dora Tortarolo (University of Turin), Grete Francesca Privitera (University of Catania), Roberto Pagliarini (University of Udine). Topics: biological and computational background of gene regulatory networks; preprocessing and exploratory analysis of transcriptomic data; computational methods for network inference (correlation-based, mutual information-based, regression-based); network evaluation with precision, recall, AUROC, AUPRC; critical interpretation of inferred regulatory interactions. Format: hands-on with provided datasets, scripts, and reference networks. Participants are encouraged to bring their own laptop. Preparatory webinars are available on the Young InfoLife YouTube channel. Prerequisites: familiarity with basic data analysis and scripting recommended. No prior experience with gene regulatory networks required. ================================================================== For full details on the conference, Special Sessions, the other pre-conference satellite events, and the Organizing Committee, please visit: https://cibb2026.teralab.ai -- Umberto Ferraro Petrillo PhD, Full Professor Dipartimento di Scienze Statistiche Universita' di Roma -- La Sapienza P.le Aldo Moro, 5 -- *Fai crescere le giovani ricercatrici e i giovani ricercatori*** *con il? 5?per?mille?alla Sapienza* Scrivi il codice fiscale dell'Universit?? *80209930587 **Cinque?per?mille * -------------- next part -------------- An HTML attachment was scrubbed... URL: From giovanni.stanco at unina.it Tue Jun 30 06:06:49 2026 From: giovanni.stanco at unina.it (GIOVANNI STANCO) Date: Tue, 30 Jun 2026 10:06:49 +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 sahidullahmd at gmail.com Tue Jun 30 23:38:40 2026 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Wed, 1 Jul 2026 09:08:40 +0530 Subject: Connectionists: Multiple Research and Faculty Positions in Artificial Intelligence and Machine Learning at TCG CREST, Kolkata, India Message-ID: **Apologies in advance for multiple postings.** Dear Colleagues, I would greatly appreciate it if you could circulate the following advertisement within your network. The Institute for Advancing Intelligence (IAI) at TCG CREST, Kolkata, is inviting applications for multiple positions at different levels, including Assistant Professor, Research Associate, and Project Associate. I. Assistant Professor & Research Associate (Computer Science) We are seeking outstanding candidates with research expertise in one or more of the following areas: - Training and Fine-tuning Large Language Models (LLMs) - Multimodal LLMs - Multi-agent Systems - Reinforcement Learning - AI for Healthcare More details and application information: https://www.tcgcrest.org/news/iai-tcg-crest-invites-applications-for-multiple-research-associate-and-faculty-positions/ II. Project Associates (Conversational Speech Technology) We are also recruiting Project Associates to work on a cutting-edge IndiaAI Mission project in conversational speech technology, supported by the Ministry of Electronics and Information Technology (MeitY), Government of India. More details: https://www.tcgcrest.org/news/iai-tcg-crest-is-hiring-fixed-term-project-staff-for-an-indiaai-mission-project-under-the-meity-government-of-india/ About TCG CREST TCG Centres for Research and Education in Science and Technology (TCG CREST) is a not-for-profit, multidisciplinary research institute established by The Chatterjee Group (TCG) to advance frontier research and innovation across science, engineering, and technology. Based in Kolkata, India, the institute brings together world-class researchers to pursue fundamental discoveries and develop transformative technologies in areas such as artificial intelligence, computational science, mathematics, chemistry, physics, biology, materials science, and quantum technologies. With a strong emphasis on interdisciplinary research, global collaborations, and the translation of scientific discoveries into real-world impact, TCG CREST provides a vibrant research environment supported by state-of-the-art infrastructure. Recognized as India's leading corporate-sector research institution according to the Nature Index, TCG CREST is committed to scientific excellence, innovation, and the education of the next generation of researchers and technology leaders. Thank you for your support. Best regards, Sahid -- Md Sahidullah Assistant Professor, Institute for Advancing Intelligence, TCG CREST, India website: *https://sahidullahmd.github.io/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: