From ioannakoroni at csd.auth.gr Wed Jul 1 04:33:27 2026 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 1 Jul 2026 11:33:27 +0300 Subject: Connectionists: Call for Participation: AI Cutting-Edge Trends Summer Symposium and School (AIDA AICET 2026), 24-28 August 2026 In-Reply-To: <53f0473c-e948-4077-a37e-823dae196912@csd.auth.gr> References: <53f0473c-e948-4077-a37e-823dae196912@csd.auth.gr> Message-ID: *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 danny.silver at acadiau.ca Wed Jul 1 06:03:52 2026 From: danny.silver at acadiau.ca (Danny Silver) Date: Wed, 1 Jul 2026 10:03:52 +0000 Subject: Connectionists: [CoLLAs Seminar][1st July 10am CET] Zeynep Akata on "Explainable and Adaptive Multimodal AI" In-Reply-To: References: Message-ID: Was there a recording made of this talk? Thank you. .. Danny Silver Sent from my Bell Samsung device over Canada?s largest network. ________________________________ From: Connectionists on behalf of Sarath Chandar Sent: Tuesday, 30 June 2026 00:11:25 To: connectionists at mailman.srv.cs.cmu.edu Subject: Connectionists: [CoLLAs Seminar][1st July 10am CET] Zeynep Akata on "Explainable and Adaptive Multimodal AI" CAUTION: This email comes from outside Acadia. Verify the sender and use caution with any requests, links or attachments. 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 jorgecbalmeida at gmail.com Wed Jul 1 11:40:52 2026 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Wed, 1 Jul 2026 16:40:52 +0100 Subject: Connectionists: [REMINDER] Fourth edition of the Seeing and Acting Workshop (SAW). University of Coimbra, Portugal, 24-26 September 2026 Message-ID: Dear colleague, (Sorry for the cross posting and mass email) *Registration* and *abstract submission* are now *open* for the fourth edition of the *Seeing and Acting Workshop (SAW )* that will take place at the Faculty of Psychology and Educational Sciences of the University of Coimbra, *September 24-26, 2026 in Coimbra, Portugal*. Please register here: SAW 2026 - Seeing and Acting Workshop | Eventos | Universidade de Coimbra For the fourth edition of SAW, we have, once again, an exciting and stimulating group of Invited Speakers: ? *Marina Bedny*, Johns Hopkins University, USA ? *Jeffrey Bowers*, University of Bristol, , UK ? *Tim Kietzmann*, University of Osnabr?ck, Germany ? *Robeta Klatzky*, Carnegie Mellon University, USA ? *Kami Koldewyn*, Bangor University, UK ? *Marius Peelen*, Radboud University, Netherlands ? *Elizabeth Tibbetts*, University of Michigan, USA The goal of SAW is to provide a forum for cognitive science/neuroscience researchers from a range of perspectives who are interested in Perception and Action, broadly construed, to come together to discuss their research and develop new directions and collaborations. The format of the workshop is intended to encourage extensive discussion among participants. To this end, we have scheduled only a small number of invited speakers, and there are no concurrent talks. In addition to the individual seminars, there will be a poster session for students, postdocs and other researchers to present their work. *Abstract submission for posters closes on July 30, 2026*. The five best abstracts whose first author is a student or postdoc will receive a 200 euro award sponsored by NeuroVerse. Registration for the workshop will be open in a couple of weeks. To register, submit a poster abstract, or for more information, please visit: https://www.uc.pt/cogbooster/saw/2026/ and SAW 2026 - Seeing and Acting Workshop | Eventos | Universidade de Coimbra Please note that there are a limited number of places (~120), which will be assigned on a first come, first served basis. To secure your place, please register as soon as possible. Note that you can register now and submit an abstract later (but before the July 30, 2026 deadline). SAW is powered by the ERA Chair CogBooster, and by the Faculty of Psychology and Educational Sciences of the University of Coimbra, Portugal. Workshop Organizers: Jorge Almeida, Alfonso Caramazza, Paul Downing, Mel Goodale, Zoe Kourtzi, Angelika Lingnau, and Isabel Pav?o Martins -------------- next part -------------- An HTML attachment was scrubbed... URL: From michal.ptaszynski at gmail.com Thu Jul 2 21:20:44 2026 From: michal.ptaszynski at gmail.com (Ptaszynski Michal) Date: Fri, 3 Jul 2026 10:20:44 +0900 Subject: Connectionists: [CfP] Information Processing & Management Journal (Impact Factor: 8.1) and Conference Hybrid Event, Special Issue/Thematic Track on "Data Elements and Data-intelligence Empowerment" Message-ID: <5E168702-4785-4C41-A7F7-5F8C7B06A507@gmail.com> Dear Colleagues, ** Apologies for cross-posting ** This is Michal Ptaszynski from Kitami Institute of Technology, Japan. We are accepting papers for joint hybrid event: Information Processing & Management Conference (IP&MC 2026) and Information Processing & Management Journal (IP&M) (IF: 8.1) Special Issue / Thematic Track on "Data Elements and Data-intelligence Empowerment". The submission closes on July 31, 2026, but your paper will be reviewed immediately after submission and will be published as soon as it is accepted. Importantly, every paper accepted for IP&MC 2026 conference presentation will have to be presented in-person on 2026/10/30--11/01 at the conference venue in Wuhan, China We hope you will consider submitting your paper. https://www.elsevier.com/en-gb/events/conferences/all/information-processing-and-management-conference/track-title#3-dataelements Best regards, Michal PTASZYNSKI, Ph.D., Professor Text Information Processing Laboratory Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan TEL/FAX: +81-157-26-9327 michal at mail.kitami-it.ac.jp https://ptaszynski.github.io ================================================================= Call for Papers: IP&M Special Issue and IP&MC Thematic Track on: "Data Elements and Data-intelligence Empowerment" Journal: Information Processing & Management (Impact Factor: 8.1) Conference: Information Processing & Management Conference 2026, 2026/10/30--11/01, Wuhan, China ================================================================= Guest Editors / Track Chairs: Jiang Wu, Wuhan University, China Michal Ptaszynski, Kitami Institute of Technology, Japan Qingpeng Zhang, University of Hong Kong, Hong Kong Dongming Xu, University of Queensland, Australia (d.xu at business.uq.edu.au) Cong Wang, Peking University, China ----------------------------------------------------------------- INTRODUCTION ----------------------------------------------------------------- In the digital economy, data has transformed from an operational byproduct into a core factor of production?what is termed the data element. This shift moves beyond the traditional focus on data volume (?big data?) toward an emphasis on data quality and value. Effective management of data elements is a prerequisite for business intelligence, organizational agility, and innovation. Consequently, identifying, governing, and utilizing these data elements is essential for empowering organizations to enhance business intelligence and secure a competitive advantage. The interaction between data elements and information technologies empowers business analytics and decision-making across a range of digital scenarios (e.g., e-commerce, smart villages, digital health, and digital culture). In digital commerce, behavioral traces, transaction records, and inventory data, when processed through machine learning algorithms, enable personalized marketing, dynamic pricing, and supply chain optimization. Similarly, within digital health, electronic health records, wearable data, and genomic information, integrated with big data analytics and clinical decision support systems, facilitate early diagnosis, customized treatment, and efficient resource allocation. This track seeks contributions that integrate diverse disciplinary perspectives to develop holistic solutions for governing data elements, unlocking their value, and ensuring regulatory compliance. ----------------------------------------------------------------- TOPICS OF INTEREST ----------------------------------------------------------------- We welcome submissions on the following topics, including but not limited to: I. Foundations and Mechanisms of Data-Intelligence Empowerment (1) Theorization and Standardization of Data Element (2) The Mechanisms for Explaining the Empowerment of Data Intelligence II. Digital Transformation and Data Element for Total Factor Productivity (1) The Causality between Data Element Marketization and Productivity (2) The Causality between Digital Technologies and Productivity III. Data-Intelligence Scenarios Implementation and Impact (1) Digital Commerce & Supply Chain (2) Digital Tourism & Cultural Heritage (3) Digital Healthcare & Well-being (4) Digital Village & Rural Development IV. AI-Driven Scientific Discovery and Innovation Paradigms (1) AI for Hypothesis Generation (2) AI for Experimental Design (3) AI for Knowledge Synthesis V. Technology-based data governance Frameworks for Digital Future (1) Governance Effectiveness Metrics for Digital Future (2) Human-AI Collaborative Governance Models for Digital Future ----------------------------------------------------------------- SUBMISSION GUIDELINES ----------------------------------------------------------------- Manuscripts submitted to this Special Issue must adhere to the author guidelines of Information Processing & Management: https://www.sciencedirect.com/journal/information-processing-and-management/publish/guide-for-authors All submissions must be original, unpublished works not currently under review at any other venue. Each manuscript will undergo a rigorous double-blind peer review process. Please ensure your submission is fully anonymized in accordance with the journal's double-blind review policy before uploading. ----------------------------------------------------------------- IMPORTANT DATES ----------------------------------------------------------------- Deadline: 31 July 2026 ----------------------------------------------------------------- HOW TO SUBMIT ----------------------------------------------------------------- Paper and poster manuscripts should be submitted using the online abstract submission system. https://app.oxfordabstracts.com/auth?redirect=/stages/80479/submitter >From there, please select IP&M Conference, and further: Thematic Track on: "Data Elements and Data-intelligence Empowerment" ================================================================= From carriecongrc at gmail.com Fri Jul 3 12:10:15 2026 From: carriecongrc at gmail.com (Ruichen Cong) Date: Sat, 4 Jul 2026 01:10:15 +0900 Subject: Connectionists: CFP: The 11th IEEE Cyber Science and Technology Congress (CyberSciTech 2026) - Melbourne, Australia, November 9-13, 2026 Message-ID: [Our apologies if you receive multiple copies of this CFP] CyberSciTech 2026 CFP (November 9-13, 2026, Melbourne, Australia) ---------------------------------------------------------------------- The 11th IEEE Cyber Science and Technology Congress (CyberSciTech 2026) https://cyber-science.org/2026/cyberscitech/ November 9-13, 2026, Melbourne, Australia Submission link: https://edas.info/N35527 CONGRESS INTRODUCTION -------------------------- Cyberspace, the seamless integration of physical, social, and mental spaces, is an integral part of our society, ranging from learning and entertainment to business and cultural activities, and so on. There are, however, in addition to its technical challenges, a number of pressing issues such as safety and trust associated with the cyberspace. To address these challenges, there is a need to establish new science and research portfolios that incorporate cyber-physical, cyber-social, cyber-intelligent, and cyber-life technologies in a cohesive and efficient manner. This is the aim of the IEEE Cyber Science and Technology Congress (CyberSciTech). IEEE CyberSciTech has been successfully held in Auckland, New Zealand, 2016, in Orlando, USA, 2017, in Athens, Greece, 2018, in Fukuoka, Japan, 2019, in Calgary, Canada, 2020 and 2021 (online due to COVID-19), in Calabria, Italy, 2022, in Abu Dhabi, UAE, 2023, in Boracay Island, Philippines, 2024, and in Hakodate City, Japan, 2025. In 2026, we will continue to offer IEEE CyberSciTech with the aim of providing a common platform for scientists, researchers, and engineers to share their latest ideas and advances in the broad scope of cyber-related science, technology, and application topics. In addition, this is also a platform to allow relevant stakeholders to get together, discuss and identify ongoing and emerging challenges, in order to understand and shape new cyber-enabled worlds. IMPORTANT DATES ----------------------------------------------- Workshop/SS Proposal Due: Jul. 10, 2026 Regular Paper Submission Due: Jul. 15, 2026 WiP/Poster/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 SCOPE AND TRACKSs ----------------------------------------------- Topics of interest include, but are not limited to: Regular Tracks (6-8 pages) Track 1: Cyberspace Theory & Technology - Cyberspace Property, Structure & Models - Cyber Pattern, Evolution, Ecology & Science - SDN/SDS, 5G/6G, Vehicle & Novel Network - Cloud, Fog, Edge & Green Computing - Big Data Analytics, Technology & Service - Infrastructures for Smart City/Country Track 2: Cyber Security, Privacy & Trust - Cyber Security, Safety & Resilience - Cyber Crime, Fraud, Abuse & Forensics - Cyber Attack, Terrorism, Warfare & Defense - Cyber Privacy, Trust & Insurance - Blockchain, DLT Techniques & Applications - Post-quantum Cryptography Track 3: Cyber Physical Computing & Systems - Cyber Physical Systems & Interfaces - Cyber Physical Dynamics & Disaster Relief - Cyber Manufacturing & Control - Embedded Systems & Software - Autonomous Robots & Vehicles - IoT, Digital Twin & Smart Systems Track 4: Cyber Social Computing & Networks - Social Networking & Computing - Computational Social Science - Crowd Sourcing, Sensing & Computing - Cyber Culture, Relation, Creation & Art - Cyber Social Right, Policy, Laws & Ethics - Cyber Learning, Economics & Politics Track 5: Cyber Intelligence & Cognitive Science - Cyber/Digital Brain & Artificial Intelligence - Hybrid & Hyper-connected Intelligence - Affective/Mind Cognition & Computing - Brain/Mind Machine Interface - AI Agents & Embodied Intelligence - Intelligent Object, Environment & Service Track 6: Cyber Life & Wellbeing - Cyber Life & Human Centric Computing - Cyber Medicine, Healthcare & Psychology - Cyborg/Wearable/Implantable Technology - Human/Animal Behavior Recognition - Personal Big Data & Personality Computing - Augmented/Mixed Reality & Metaverse IEEE CyberSciTech 2026 CALLS ---------------------------------- For original papers in: - Regular Tracks: 6-8 pages - WiP/Workshop/Special Session Tracks: 4-6 pages - Poster Track: 2 pages - LBI (Late Breaking Innovation) Track: 4-8 pages - All accepted conference, workshop, special session (SS), and poster papers will be published by IEEE in the Conference Proceedings (IEEE-DL and EI indexed). Selected high quality papers will be recommended to prestige journal special issues. Submission link: https://edas.info/N35527 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), Workshop/SS, Poster papers all need to be in IEEE CS format ( https://www.ieee.org/conferences/publishing/templates.html) CO-LOCATED CONFERENCES ---------------------------------- - 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) Hosted by RMIT University, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandro.gifford at gmail.com Fri Jul 3 13:42:35 2026 From: alessandro.gifford at gmail.com (Alessandro Gifford) Date: Fri, 3 Jul 2026 19:42:35 +0200 Subject: Connectionists: vision: a community-driven replication initiative for image-related neuroscience Message-ID: Dear colleagues, We are excited to announce re:vision, a community-driven initiative for replicating and generalizing findings in image-related neuroscience and we'd love for you to take part. Condition-rich fMRI datasets have transformed how we study visual representations, but they rest on two assumptions: that their stimuli sample natural images broadly, and that findings generalize across that distribution. These assumptions are rarely tested directly. re:vision sets out to change that. The initiative is built on the new LAION-fMRI dataset: densely-sampled 7T fMRI responses to 25,000+ natural images, designed to cover the space of natural images at exceptional scale and diversity. Participants pick a published finding, replicate it using LAION-fMRI, and test whether it holds and generalizes. No new data collection is required, all data, preprocessed betas, and annotations are provided through our Python package. Anyone with an interest in neuroscience can participate in teams of 1 - 3 researchers. From the PI that wants to get their hands dirty again to the master's student looking for a thesis project. We advise that at least one member of your replication team has experience with fMRI analysis. Why participate? - Be part of the consortium paper ? every team that submits a valid report is given the chance to co-author the final publication. - Compete for cash prizes: a $2,500 Replication Award, a $2,500 Generalization Award, and a $1,000 Facilitator Award. Key dates: - Sign-up & proposal: by September 15th 2026 - Report submission: by February 15th 2027 You can learn more, browse suggested studies, and sign up at re-vision-initiative.org. Please feel free to forward this to colleagues or students who might be interested. Kind regards the re:vision team re:vision team: Luca K?mmer, Justus-Liebig-University Gie?en & Max Planck Institute CBS Josefine Zerbe, Justus-Liebig-University Gie?en & Max Planck Institute CBS Johannes Roth, Justus-Liebig-University Gie?en & Max Planck Institute CBS Alessandro Gifford, Freie Universit?t Berlin Apurva Ratan Murty, Georgia Institute of Technology Iris Groen, Amsterdam University Michael Bonner, Johns Hopkins University Margaret Henderson, Carnegie Mellon University Radoslaw Cichy, Freie Universit?t Berlin Martin Hebart, Justus-Liebig-University Gie?en & Max Planck Institute CBS -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtkostecki at gmail.com Sun Jul 5 18:15:59 2026 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Mon, 6 Jul 2026 00:15:59 +0200 Subject: Connectionists: =?utf-8?q?Open_Lab_Online_workshops_on_Bonsai_?= =?utf-8?q?=E2=80=93_July_sessions_now_open?= Message-ID: Hello, Good morning everyone, We are happy to announce two new upcoming *Open Lab Online workshops on Bonsai* this July. *Bonsai* is an open-source reactive programming language that is particularly useful for modern behavioral neuroscience experiments. It allows users to synchronize multiple data streams, precisely deliver stimuli, and run experiments in closed-loop settings, while integrating signals and devices from different systems. From calcium imaging and sound recordings to sensors, feeders, motors, and stimulus delivery systems, Bonsai offers a flexible and powerful way to build experimental workflows. These workshops are part of our *3-module online course of increasing difficulty*, designed to progressively introduce participants to Bonsai and its practical applications. *Introduction to Bonsai (Module I)* *July 13, 2026 | 16:00?17:00 CEST (UTC+2)* In this first module, participants will be introduced to the basics of Bonsai ? its logic, syntax, and potential applications. The workshop will also cover animal tracking, ROI detection, closed-loop paradigms, and basic logical operations. *Instructor:* Jagoda Nawrocka, University of Warsaw *Fee:* EUR 10, with fee waivers available upon request *Registration:* https://nenckiopenlab.org/event/introduction-to-bonsai-module-i-4/ *Introduction to Bonsai (Module II)* *July 16, 2026 | 16:00?17:30 CEST (UTC+2)* In this second module, we will move on to more advanced aspects of working with Bonsai. The workshop will introduce the *BonVision* library for visual stimulus presentation and VR applications, and explore how to combine multiple data streams to build more complex and interactive behavioral paradigms. We will also cover behavioral subjects and variable control across different branches of a workflow. *Instructor:* Mateusz Kostecki, Heidelberg University *Fee:* EUR 10, with fee waivers available upon request *Registration:* https://nenckiopenlab.org/event/introduction-to-bonsai-module-ii-2/ We would also like to warmly invite you to join our *Open Lab Online Discord*, which serves as a space for discussion, exchange, and community around open tools and methods. Important workshop updates and information are also shared there. If you have any questions, feel free to contact us at *openlab at nencki.edu.pl* or reach out to us on *Discord*. Best wishes, The Open Lab Online team -------------- next part -------------- An HTML attachment was scrubbed... URL: From icaitemspisa at gmail.com Mon Jul 6 04:13:37 2026 From: icaitemspisa at gmail.com (ICAI-TEMS 2026) Date: Mon, 6 Jul 2026 10:13:37 +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 edoardo.datteri at unimib.it Mon Jul 6 09:03:27 2026 From: edoardo.datteri at unimib.it (Edoardo Datteri) Date: Mon, 6 Jul 2026 15:03:27 +0200 Subject: Connectionists: three-year postdoctoral position in biorobotics - RobotiCSS Lab (Milano-Bicocca), BioRob Lab (EPFL) Message-ID: [image: logo_RiLS.png] *Call for Expressions of Interest: Three-year postdoctoral position in biorobotics co-supervised by the RobotiCSS Lab at the University of Milano-Bicocca (Edoardo Datteri) and the Biorobotics Laboratory at the EPFL (Auke Ijspeert).* The RiLS (Robots in the Life Sciences) project, led by Edoardo Datteri at the RobotiCSS lab , aims to investigate the role of robots as tools for studying animal cognition and behavior. To this end, the lab is creating interdisciplinary research groups composed of scientists and philosophers of science. We are looking for a three-year postdoctoral researcher to carry out biorobotic studies on animal navigation and locomotion (see the specifications below). This research will be conducted at the RobotiCSS Lab (Milan, Italy), and the researcher will be co-supervised by Prof. Edoardo Datteri (RobotiCSS Lab, https://roboticss.formazione.unimib.it/) and Prof. Auke Ijspeert of the BioRob Lab at EPFL (Lausanne, Switzerland, https://www.epfl.ch/labs/biorob/). The call for applications will formally open in December 2026. *The position will start in March-April 2027, with a gross annual salary of ?37,000 *before taxes, including social security and pension contributions. Description of the RiLS project: https://roboticss.formazione.unimib.it/research-2/funded-research-projects/rils/ *If you are interested in this position, please contact Edoardo Datteri at edoardo.datteri at unimib.it * *Background:* The exact topic of research is still open. Broadly, we are interested in using robots and numerical simulation to investigate principles of animal locomotion and navigation, with a particular focus on vertebrate animals, from fish to humans. The project could for instance investigate how higher centers (e.g. the motor cortex), the spinal cord and the musculoskeletal system interact to generate the robust and agile locomotion observed in animals. There are still many open questions in neuroscience about the relative importance of feedforward and feedback control, and how higher control centers can learn and plan movements while taking into account computations performed at the spinal cord level. The exact roles of the embodiment and environment also remains to be investigated. *Requirements:*The goal would be to hire a researcher with a background in robotics (ideally with expertise in the control of animal-like or humanoid robots) and/or computational neuroscience. The ideal candidates should also have strong backgrounds in math and programming, and an interest in interdisciplinary research. -- Edoardo Datteri Full professor of Logic and Philosophy of Science President of the AISC - Italian Association for the Cognitive Sciences Coordinator of the RobotiCSS Lab - Laboratory of Robotics for the Cognitive and Social Sciences Latest representative publications: - Datteri, E. (2025). Models for Surrogative Stimulation. *Erkenntnis*. https://doi.org/10.1007/s10670-025-00951-7 - Datteri, E. (2025). Folk-Ontological Stances Towards Robots and Psychological Human Likeness. *International Journal of Social Robotics*, 17(2), 257?276. https://doi.org/10.1007/s12369-025-01225-6 - Roselli, C., Lapomarda, L., & Datteri, E. (2025). How culture modulates anthropomorphism in Human-Robot Interaction: A review. *Acta Psychologica*, *255*, 104871. https://doi.org/10.1016/j.actpsy.2025.104871 See also https://scholar.google.com/citations?user=eGzrD6gAAAAJ&hl=ithttps://www.researchgate.net/profile/Edoardo-Datteri?ev=hdr_xprf Department of Human Sciences for Education "R. Massa", University of Milano-Bicocca Building U6, Piazza dell'Ateneo Nuovo 1, 20126 Milan Vice-coordinator of the Master Degree in Education, Univ. of Milano-Bicocca Senior Editor of BMC Psychology Webex Personal Room: https://unimib.webex.com/meet/edoardo.datteri I dati personali saranno trattati ai sensi del Decreto Legislativo n. 196 del 2003 (Codice in materia di protezione dei dati personali) e sue successive modifiche e integrazioni, nonch? del Regolamento UE 2016/679 (GDPR). ? possibile prendere visione della informativa al seguente link: https://www.unimib.it/servizi/segreterie/informativa-privacy -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: logo_RiLS.png Type: image/png Size: 62258 bytes Desc: not available URL: From schavlis at imbb.forth.gr Tue Jul 7 05:49:41 2026 From: schavlis at imbb.forth.gr (Spyridon Chavlis) Date: Tue, 7 Jul 2026 12:49:41 +0300 Subject: Connectionists: Teaching Assistant (TA) applications now open for Simons Computational Neuroscience Imbizo 2027 Message-ID: <2192f688-4ba4-4a90-b4ac-17c1b4f08563@imbb.forth.gr> Dear friends and colleagues, We are seeking passionate post-doctoral or senior PhD researchers to join our team as Teaching Assistants (TAs) for the upcoming Simons Computational Neuroscience Imbizo, a deeply immersive summer school held in Noordhoek, Cape Town, South Africa. Apply here: https://imbizo.africa/ta-application/ Application Requirements Before you begin your application, please ensure you have the following ready: - A brief CV: 2-4 pages maximum, uploaded as a PDF. - A motivational statement: A short text (max 600 words) outlining your scientific interests and background, why you would be a good fit, and your preferred topics for teaching tutorials and supervising student projects. - Reference details: The name and contact information of one referee. (Note: Your referee will automatically receive an email prompt once you submit. Please inform them to check also their spam emails). Important Dates: - Applications Close: 1st September 2026 at 20:00 UTC - Imbizo Dates: 27th August - 16th September 2027 About the Imbizo: The school hosts 27-28 students for approximately three weeks of intensive lectures, tutorials, projects, and forging new friendships. All this takes place on Noordhoek beach, nestled between the mountain and the ocean, a truly spectacular location. The Imbizo is a special experience. Students are totally immersed in academic, social, touristic, and cultural activities, which has historically resulted in previous cohorts of students and TAs becoming very close, both personally and scientifically. This is fantastic, as a major goal of the Imbizo project is to help young African researchers grow their academic peer and friend groups. The Role of a TA - Academic Responsibilities: (a) Design and run one afternoon tutorial during the first week of the school. Each TA will teach a different topic, chosen collaboratively among the TA team and the Academic Directors, to provide students with broad exposure to methods in computational neuroscience, (b) Supervise a group of approximately 5 students for their project work during the last two weeks of the school, and (c) Assist the organizing committee in processing student applications in early 2027. - Social Responsibilities:? TAs are integral to the daily life of the school. In addition to academic support, you will be expected to foster good social interactions, spark academic discussions, and help ?shy? students meet faculty. TAs act as the ?social glue? of the Imbizo, helping to notice and support students who may be feeling ill, having difficulties fitting in, or struggling with the workload. To fulfill these roles, TAs are required to attend all school meals and activities. What We Provide We cover direct, economy-class flights to Cape Town, as well as all board and lodging for the duration of the school. A separate call for student applications will follow in January 2027. Please reach out if you have any questions! Please spread the word. Thank you in advance. On behalf of the #Imbizo2027 Organizing committee Spiros Chavlis Twitter: @CompNeuroImbizo Bluesky: imbizo.bsky.social email: info [AT] imbizo [DOT] africa -- *Spyridon Chavlis, PhD* Postdoctoral Researcher and Systems Administrator Poirazi Lab Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Nikolaou Plastira, 100 GR 70013 Heraklion, Crete, Greece Tel: (+30) 2810 39 1264 ?mail: schavlis at imbb.forth.gr Webpage: dendrites.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Jul 7 10:00:43 2026 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 7 Jul 2026 16:00:43 +0200 Subject: Connectionists: New on the VVTNS YouTube channel: Weak, weird, coordinated: functional transient oscillations without a metronome | Demian Battaglia CNRS, Strasbourg, France In-Reply-To: References: Message-ID: [image: VVTNS.png] > > > https://www.wwtns.online > > - on twitter: wwtns at TheoreticalWide and on YouTube > New on the VVTNS Website and YouTube Channel https://www.wwtns.online Weak, weird, coordinated: functional transient oscillations without a metronome lecture delivered on May 6, 2026 by Demian Battaglia CNRS, Strasbourg, France *Abstract: *Neural oscillations are often proposed to support brain computation by routing information, organizing cell assemblies, or shaping coding dynamics. Yet these ideas usually assume rhythms that are strong, sustained, and regular, whereas in vivo oscillations are often weak, transient, noisy, and variable in frequency and phase. In this talk, I will argue that such ?no-metronome? oscillations are not just noisy fluctuations, but coordinated complex dynamics with functional consequences. Combining analyses of neural activity recordings during actual behavior (mice and non-human-primate LFPs and human EEG) with computational modelling, I will discuss evidence that transient oscillatory events can carry task-relevant information and support flexible communication through spatiotemporally structured relationships across populations, timescales, and frequencies. Together, these results suggest that oscillatory weakness and weirdness are not just imperfections, noise to average-out, but part of the functional repertoire of neural computation. . *About VVTNS : **VVTNS is a weekly digital seminar on Zoom targeting the theoretical neuroscience community. Launched as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians, but not only. 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 are 45 min long followed by a discussion and are held on Wednesdays at 11 am ET. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ----------- transmis via / relayed via rt_neurocomp at services.cnrs.fr cf. https://listes.services.cnrs.fr/wws/info/rt_neurocomp ? -------------- 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 emergingtechnetwork.publicity at gmail.com Tue Jul 7 13:51:02 2026 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Tue, 7 Jul 2026 20:51:02 +0300 Subject: Connectionists: DTISO CFP: The IEEE co-sponsored International Conference on Digital Transformation and Intelligent SOciety, 17 - 20 November 2026 | Barcelona, Spain Message-ID: [Apologies if you got multiple copies of this invitation] The International Conference on Digital Transformation and Intelligent SOciety (DTISO 2026) https://dtis-conference.org/2026/ 17 - 20 November 2026 | Barcelona, Spain Hybrid Event and Technically Co-Sponsored by IEEE Spain Section *DTISO 2026 CFP:* Digital transformation and intelligent society refer to the profound integration of advanced digital technologies?such as artificial intelligence, big data analytics, cloud computing, and the Internet of Things into every aspect of modern life. This transformation is reshaping how individuals communicate, how organizations operate, and how governments deliver services. By leveraging data-driven insights and intelligent systems, digital transformation enhances efficiency, enables automation, and supports more informed and timely decision-making across sectors including healthcare, education, industry, and public administration. An intelligent society builds upon these capabilities to create interconnected, adaptive, and human-centered environments where technology is used not only to optimize processes but also to improve quality of life, promote inclusivity, and support sustainable development. As digital ecosystems continue to evolve, the synergy between technological innovation and societal needs becomes essential in addressing global challenges and driving long-term economic and social progress. The International Conference on Digital Transformation and Intelligent Society (DTISO) invites researchers, practitioners, and industry experts to submit their original and high-quality contributions addressing the challenges and opportunities of digital transformation in shaping an intelligent society. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to: *?** Digital Transformation Foundations * - Digital Transformation innovation and strategy - Smart cities and smart environments - Industry 4.0 and 5.0 - Digital governance and e-government - Digital economy and business transformation *?** Artificial Intelligence for Digital Society * - Generative AI and Large Language Models - Intelligent Automation and Robotics - Natural Language Processing and Conversational Systems - Computer Vision and Multimedia Intelligence - Predictive Analytics and Intelligent Forecasting - Multi-Agent and Autonomous Systems - Recommender Systems and Personalization - Knowledge Graphs and Semantic Technologies - AI-Driven Decision Support Systems *?** Digital Infrastructure and Emerging Technologies * - Cloud Computing and Digital Platforms - Edge Computing and Intelligent Infrastructure - Internet of Things (IoT) and Connected Systems - 5G/6G and Future Communication Systems - Blockchain and Decentralized Applications - Quantum Computing and Future Digital Technologies - Digital Twin Technologies - Cybersecurity and Digital Trust - Privacy, Ethics, and Responsible AI *?** Smart Society and Human-Centered Systems * - Intelligent Society and Smart Living Technologies - Smart Cities and Urban Intelligence - E-Government and Digital Public Services - Smart Education and E-Learning Technologies - Intelligent Healthcare and Digital Health Systems - Social Computing and Digital Communities - Human-Centered AI and Intelligent Interaction - Digital Inclusion and Accessibility - Ethical and Societal Impact of Emerging Technologies - Digital Media, Misinformation, and Content Intelligence *?** Industry, Economy, and Sustainable Transformation* - Digital Transformation Strategies and Frameworks - Digital Economy and Smart Business Models - Industry 4.0 and Smart Manufacturing - FinTech and Intelligent Financial Systems - Smart Agriculture and Precision Farming - Intelligent Transportation and Mobility Systems - Sustainable Digital Transformation - Smart Energy and Green Technologies - AI Governance and Regulatory Technologies *?** Data Science and Intelligent Information Systems* - Big Data Analytics for Smart Society - Intelligent Information Retrieval and Search Systems - Data-Driven Smart Applications - Advanced Data Processing and Analytics - Real-Time Monitoring and Intelligent Systems - Context-Aware and Adaptive Systems - Data Privacy and Secure Information Systems - Intelligent Decision Analytics - Semantic and Cognitive Computing Systems *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the DTISO Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. *Important Dates:* - Paper Submission: *July 21, 2026 * - Notification to Authors: October 5, 2026 - Camera Ready Submission: October 20, 2026 Contact: Please send any inquiry on DTISO to : emergingtechnetwork at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From franca.roccoditorrepadula at unina.it Tue Jul 7 09:52:55 2026 From: franca.roccoditorrepadula at unina.it (FRANCA ROCCO DI TORREPADULA) Date: Tue, 7 Jul 2026 13:52:55 +0000 Subject: Connectionists: =?windows-1252?q?Call_for_Papers_=96_Q1_Journal_S?= =?windows-1252?q?pecial_Issue_on_Trustworthy_and_Responsible_Federated_Le?= =?windows-1252?q?arning?= Message-ID: _______________________________________________________________________________________ Call for Papers Trustworthy and Responsible Federated Learning Special Issue in Discover Artificial Intelligence (Q1 Springer Nature) https://link.springer.com/collections/fdcjaidaif Open for submissions - Submission deadline: 15 December 2026 _______________________________________________________________________________________ Dear colleagues, We are pleased to announce that submissions are now open for the Special Issue / Collection on "Trustworthy and Responsible Federated Learning" in Discover Artificial Intelligence (Springer Nature). 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: 15 December 2026 * Status: Open for submissions ABOUT THE SPECIAL ISSUE Federated Learning (FL) has emerged as a key paradigm for privacy-preserving and collaborative machine learning, enabling the training of models across distributed data sources without sharing raw data. FL has shown strong potential in sensitive domains such as healthcare, finance, public services, and industrial systems. However, recent research highlights that performance alone is insufficient to ensure responsible deployment. Federated systems raise critical challenges related to fairness, robustness, transparency, interpretability, accountability, and regulatory compliance, particularly under adversarial conditions, data and system heterogeneity, and decentralized governance structures. This Collection focuses on Trustworthy and Responsible Federated Learning, aiming to advance methodological, system-level, and governance-oriented research that ensures FL systems are not only accurate, but also reliable, fair, transparent, and socially aligned. Building on international frameworks such as the European Commission Ethics Guidelines for Trustworthy AI and the U.S. National Institute of Standards and Technology (NIST) AI Risk Management Framework, the Collection emphasizes the extension of trustworthiness principles to decentralized and collaborative learning settings. It aims to bring together researchers and practitioners to shape the foundations and future directions of trustworthy federated learning. TOPICS OF INTEREST * Fairness-aware and bias-mitigating FL methods * Privacy- and security-enhancing techniques * Robustness to adversarial and system-level threats * Explainability and interpretability of federated models * Explainable AI in federated learning * Accountability and transparency mechanisms * Compliance with regulatory frameworks such as the European AI Act * Human-in-the-loop and participatory FL * Trust metrics and uncertainty estimation * Decentralized and peer-to-peer FL architectures * Real-world deployment, evaluation, and sustainability considerations SUBMISSION DETAILS * Participating journal: Discover Artificial Intelligence * Submissions are handled through the Springer Nature Collection page * More information and submission instructions: https://link.springer.com/collections/fdcjaidaif We look forward to receiving your contributions and to building a strong collection of research on trustworthy and responsible federated learning. Contact: bruno.fernandes at upe.br sergio.dimartino at unina.it mfisichella at l3s.de franca.roccoditorrepadula at unina leandro.ssilva at upe.br Best regards, The Guest Editors -------------- next part -------------- An HTML attachment was scrubbed... URL: From maria.pavlovic at tuebingen.mpg.de Wed Jul 8 06:10:52 2026 From: maria.pavlovic at tuebingen.mpg.de (Pavlovic, Maria) Date: Wed, 8 Jul 2026 10:10:52 +0000 Subject: Connectionists: Reminder: Deadline July 12th to submit your contribution to Systems Vision Science (SVS) Virtual Symposium July 31, 2026, registration stays open until capacity filled. Message-ID: <53533f5d5fa847b198bea1a27684836e@tuebingen.mpg.de> Contribution Submission Deadline: July 12th!!!! 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. Deadline for submitting contribution is July 12, 2026 and registration without contribution is open until capacity is reached. -------------------------------- 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). 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 christine.Basta at alexu.edu.eg Wed Jul 8 06:05:05 2026 From: christine.Basta at alexu.edu.eg (christine.Basta) Date: Wed, 8 Jul 2026 10:05:05 +0000 Subject: Connectionists: CFP- The 7th Workshop on Gender Bias in NLP (Updated dates) Message-ID: Second Call for Papers: The 7th Workshop on Gender Bias in NLP (GeBNLP 2026) (Imp Note: Some dates are updated) 5th AACL & 15th IJCNLP, November 9, 2026 Hengqin, China (Remote-only mode) About the Workshop The GeBNLP workshop serves as a leading venue for the study, evaluation, and mitigation of gender bias in natural language processing. As large language models (LLMs) become foundational to recent NLP applications, addressing how these systems represent and affect different genders, alongside intersecting demographic axes such as race, ethnicity, nationality, religion, and ability, remains a critical challenge for the AI community. While foundational progress has been made in algorithmic debiasing and balanced data collection, recent large-scale evaluations reveal that state-of-the-art models continue to exhibit persistent stereotypes and confidence disparities across intersectional identities (Siddique et al., 2024; Savoldi et al., 2024). Our workshop serves as a multidisciplinary bridge, enabling researchers to define shared standards for tasks and metrics that ensure technical advancements are deeply rooted in the social and ethical realities of systemic harm (Dai et al., 2024). Topics of Interest We invite submissions on a wide range of topics related to gender bias in NLP, including but not limited to: * Measurement and Evaluation: New metrics and datasets for quantifying bias in LLMs, MT, and multimodal systems. * Mitigation Strategies: Technical approaches to debiasing (e.g., fine-tuning, adapter-based methods, or prompting strategies). * Multilingual and Cross-Cultural Perspectives: Bias in low-resource languages or non-Western cultural contexts. * Intersectionality: Research exploring how gender bias intersects with race, disability, age, or nationality. * Ethical and Legal Frameworks: Policy implications and the "Human-in-the-loop" role in auditing AI systems. Authors are encouraged to go beyond binary gender definitions and discuss how their work addresses the complexity of intersecting stereotypes and the diverse demographic contexts involved. Submission Guidelines * Long Papers are up to 8 pages and short Papers are up to 4 pages (excluding references and appendix). * Non-Archival Submissions: Authors may opt for non-archival submission, allowing work of standard conference quality to be presented without being published in the official proceedings. * Submission Link (Blind submission is required) Important Dates * Paper Submission Deadline: Wednesday, September 2, 2026 * Pre-reviewed (ARR) submission deadline: Tuesday, September 29, 2026 * Notification of Acceptance: Friday, October 2, 2026 * Camera-Ready Version Due: Monday, October 12, 2026 * Workshop Date: Monday, November 9, 2026 Organizers Giuseppe Attanasio, Instituto de Telecomunica??es, Lisbon Christine Basta, Alexandria University & HiTZ, University of the Basque Agnieszka Fale?ska, University of Stuttgart Vera Neplenbroek, University of Amsterdam Debora Nozza, Bocconi University Karolina Sta?czak, ETH AI Center, Zurich Marta R. Costa-juss?, FAIR, Meta Christian Hardmeier, IT university of Copenhagen References Dai, Y., Gu, H., Wang, Y. and Wang, X., 2024, November. Mitigate extrinsic social bias in pre-trained language models via continuous prompts adjustment. In Proceedings of the 2024 conference on empirical methods in natural language processing (pp. 11068-11083). Siddique, Z., Turner, L. and Anke, L.E., 2024, November. Who is better at math, jenny or jingzhen? uncovering stereotypes in large language models. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp. 18601-18619). Savoldi, B., Papi, S., Negri, M., Guerberof-Arenas, A. and Bentivogli, L., 2024, November. What the harm? quantifying the tangible impact of gender bias in machine translation with a human-centered study. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp. 18048-18076). -------------- next part -------------- An HTML attachment was scrubbed... URL: From prkkpatel at gmail.com Thu Jul 9 05:54:27 2026 From: prkkpatel at gmail.com (KK Patel) Date: Thu, 9 Jul 2026 15:24:27 +0530 Subject: Connectionists: 8th icSoftComp2026 Second CFP: Scopus-indexed Springer CCIS Singapore Message-ID: Sincere apologies for the multiple postings. ------------------------------ [image: Springer] icSoftComp2026 8th International Conference on Soft Computing and its Engineering Applications Singapore | December 08?10, 2026 | Hybrid Mode Web: https://icsoftcomp.org/ Paper submission link: https://meteor.springer.com/icSoftComp2026 ------------------------------ Dear Prof./Dr., 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, 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 Stefan Pickl ? University of the Bundeswehr Munich, Germany =========== Important Dates: =========== Submission due: 31/07/2026 Acceptance Notification: 31/08/2026 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 https://iwaiis.org/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From jose at rubic.rutgers.edu Thu Jul 9 08:46:46 2026 From: jose at rubic.rutgers.edu (=?utf-8?B?U3RlcGhlbiBKb3PDqSBIYW5zb24=?=) Date: Thu, 9 Jul 2026 12:46:46 +0000 Subject: Connectionists: NEW PAPER ON "DEEP HISTORY OF DEEP LEARNING". Message-ID: Please find a new paper on Deep Learning, its history and connections with Psychological Learning Theory from 100 years ago. This is a sketch of how Deep Learning works and why. This paper reviews relevant literature and provides testable hypothesis concerning the development of feature structures in large networks and how they develop and are curated. Even now we don't understand how deep learning works or why it applies so generally across many kinds of domain. It generality is more of a mystery when one considers the feature construction process. This of course is even worse for LLMs which noone has a clue how they come to talk, or seems to have executive functions. And yet it is being monetized and exploited on a daily basis (not new in the history of technology). Yoshua Bengio, last year at the introduction of an LLM summer school, said something quite prescient: "I believe we are all sleep walking through this". This paper is an attempt to look under the hood and make sense of the generality of deep learning and the AI it enabled. L.L. Thurstone, The law of effect and the dynamics of deep learning ?a deep history of deep learning? SJ Hanson and C Hanson ABSTRACT Deep learning (DL), a variant of the neural network algorithms originally proposed in the early twentieth century, has resulted in a renaissance of artificial intelligence. Despite the growing dominance of DL networks, little is understood about the learning mechanism that makes these networks so effective across such a wide range of applications. Drawing on a century of psychological learning theory (e.g., LL Thurstone), an account is offered of the learning mechanism that may enable DL networks to perform so successfully across so many different tasks. Specifically, evidence is provided that learning in DL networks is fit best by a hyperbolic function. This function is independent of hyper/meta parameters?not a scaling function but a learning curve to a specific equilibrium, a function that also entails an autocatalytic mechanism through which complex structures, abstracted from sensory features, can in principle create and support cognitive function in both biological and artificial systems. Keywords: Learning theory, Deep Learning, hyperbolic, autocatalytic, AI, Thurstone https://link.springer.com/article/10.1007/s10462-026-11560-3 -- [cid:part1.pF7L9rnF.P83i0J01 at rubic.rutgers.edu] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: SIGRUBIC.png Type: image/png Size: 92763 bytes Desc: SIGRUBIC.png URL: From manjishster at gmail.com Fri Jul 10 00:44:20 2026 From: manjishster at gmail.com (Manjish Pal) Date: Fri, 10 Jul 2026 10:14:20 +0530 Subject: Connectionists: Collaborator for Indo-German Joint Call Message-ID: Hi, I am looking for a researcher affiliated with a German university to write a project proposal related to areas like *fairness in machine learning, graph machine learning, optimization, combinatorics, and theoretical computer science* under the DST-DFG Joint Call on International Research Training Groups (IRTG). The template for the application can be found in the following link: https://onlinedst.gov.in/Projectproposalformat.aspx?Id=2232 regards, Dr Manjish Pal Lecturer in Computer Science University of Liverpool Bengaluru India -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.bunte at rug.nl Thu Jul 9 09:37:17 2026 From: k.bunte at rug.nl (Kerstin Bunte) Date: Thu, 9 Jul 2026 15:37:17 +0200 Subject: Connectionists: [Job] Assistant Professor (Tenure-Track) in Intelligent Software Systems at the University of Groningen Message-ID: Dear colleagues, I?m excited to share an opportunity at the Bernoulli Institute (University of Groningen) for a tenure-track Assistant Professor in Intelligent Software Systems. This role is perfect for someone passionate about interdisciplinary research in areas like distributed systems, ML, AI, or visualization - with a clear path to Full Professor in ~10 years. Why this role stands out: 60% research, 30% teaching, 10% service - ideal for balancing impact and innovation. Collaborative environment: Work across our groups in Distributed Systems, Intelligent Systems, or Scientific Visualization & Computer Graphics. Strong support: Competitive salary (?4,728??7,297/month), tenure after 1?3 years, and a vibrant international community in Groningen. We?re looking for candidates with a PhD in Computer Science or related fields, a strong research record, and a commitment to inclusive, cross-disciplinary work. If this sounds like you or someone in your network, we?d love to hear from you! For more details, visit: https://werkenbij.rug.nl/vacature/assistant-professor-tenure-track-in-intelligent-software-systems-2200/?lang=en Feel free to reach out with any questions. Best regards, Kerstin Bunte -- Kerstin Bunte, Professor of Machine Learning for interdisciplinary data analysis Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence Faculty of Science and Engineering University of Groningen Bernoulliborg, Nijenborgh 9, 9747 AG Groningen The Netherlands Email: k.bunte at rug.nl web: http://www.cs.rug.nl/~kbunte/ From manjishster at gmail.com Fri Jul 10 00:55:24 2026 From: manjishster at gmail.com (Manjish Pal) Date: Fri, 10 Jul 2026 10:25:24 +0530 Subject: Connectionists: Indo-Japan Science and Technology Cooperation Message-ID: Hi, I am looking for a researcher affiliated with a university in Japan to write a project proposal related to areas like *fairness in machine learning, graph machine learning, optimization, combinatorics, and theoretical computer science* under the Indo-Japan Science and Technology Cooperation. The deadline for application is 3rd Sep 2026. The template for the application can be found in the following link: https://onlinedst.gov.in/Projectproposalformat.aspx?Id=1067 regards, Dr Manjish Pal Lecturer in Computer Science University of Liverpool Bengaluru India -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Thu Jul 9 12:35:39 2026 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Thu, 9 Jul 2026 19:35:39 +0300 Subject: Connectionists: FLLM2026 (Co-Sponsored by IEEE): The 4th International Conference on Foundation and Large Language Models, 17 - 20 November 2026 | Barcelona, Spain Message-ID: [Apologies if you got multiple copies of this invitation] The 4th International Conference on Foundation and Large Language Models (FLLM 2026) https://fllm-conference.org/2026/index.php 17 - 20 November 2026 | Barcelona, Spain Hybrid Conference and Technically Co-Sponsored by IEEE Spain Section *FLLM 2026 CFP:* With the emergence of foundation models (FMs) and Large Language Models (LLMs) that are trained on large amounts of data at scale and adaptable to a wide range of downstream applications, Artificial intelligence is experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new applications ranging from computer vision to protein sequence study and from speech recognition to coding. Earlier models had a reputation of starting from scratch with each new challenge. The capacity to experiment with, examine, and comprehend the capabilities and potentials of next-generation FMs is critical to undertaking this research and guiding its path. Nevertheless, these models are currently inaccessible as the resources required to train these models are highly concentrated in industry, and even the assets (data, code) required to replicate their training are frequently not released due to their demand in the real-time industry. At the moment, mostly large tech companies such as OpenAI, Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite the expected widely publicized use of FMs and LLMS, we still lack a comprehensive knowledge of how they operate, why they underperform, and what they are even capable of because of their emerging global qualities. To deal with these problems, we believe that much critical research on FMs and LLMS would necessitate extensive multidisciplinary collaboration, given their essentially social and technical structure. The International Conference on Foundation and Large Language Models (FLLM) addresses the architectures, applications, challenges, approaches, and future directions. We invite the submission of original papers on all topics with special interest in but not limited to: - *Architectures and Systems* - Transformers and Attention - Bidirectional Encoding - Autoregressive Models - Massive GPU Systems - Prompt Engineering - Multimodal LLMs - Fine-tuning - *Challenges* - Hallucination - Cost of Creation and Training - Energy and Sustainability Issues - Integration - Safety and Trustworthiness - Interpretability - Fairness - Social Impact - * Future Directions* - Generative AI - Explainability and EXplainable AI - Retrieval Augmented Generation (RAG) - Federated Learning for FLLM - Large Language Models Fine-Tuning on Graphs - Data Augmentation - * Natural Language Processing Applications* - Generation - Summarization - Rewrite - Search - Question Answering - Language Comprehension and Complex Reasoning - Clustering and Classification - * Applications* - Natural Language Processing - Communication Systems - Security and Privacy - Image Processing and Computer Vision - Life Sciences - Financial Systems *Call for Special Tracks Papers:* - *Short papers:* (4-6 pages). - *Poster papers:* (1-2 Pages) - *Position Paper:* (2-4 pages) - *PhD Symposium:* (Up to 6 Pages) - *Demos :* (Up to 2 Pages) - *Systemization of Knowledge (SoK) or Focused Surveys:* (10-15 pages) *Journal Special Issue:* Selected high quality papers will be invited for special issue submission at the *Information Processing & Management (impact factor : 6.9)* https://www.sciencedirect.com/journal/information-processing-and-management *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 6 pages (including all figures, tables and references). Extra pages (up to 4 pages) can be purchased for a fee. Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Authors of accepted papers are expected to present their work at the conference. *Important Dates:* - *Paper submission deadline: July 21, 2026* - Notification of acceptance: October 1 , 2026 - Camera-ready Submission: October 15, 2026 *Contact:* Please send any inquiry on FLLM to: info@ fllm-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Fri Jul 10 05:41:23 2026 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Fri, 10 Jul 2026 11:41:23 +0200 Subject: Connectionists: 2-year Post-doc position on Autonomous Machine Learning / Computational Modeling of Cognitive Development Message-ID: <5B770769-2A91-4508-A045-354311EDBC1B@fias.uni-frankfurt.de> The Frankfurt Institute for Advanced Studies (FIAS) is looking for a Postdoctoral Researcher (f/m/d) in the area of: Autonomous Machine Learning / Computational Modeling of Cognitive Development. The primary goal is to develop computational models that autonomously learn abstract representations and models of the world and ways to interact with it in and open-ended fashion from self-motivated physical interactions. Relevant keywords include: autotelic learning, open-ended learning, continual learning, intrinsic motivation, causality, compositionally, hierarchy, modularity. Please find links to some of our recent publications at the bottom. Your profile We are seeking an outstanding and highly motivated postdoc for this position. Applicants should have obtained a PhD in Machine Learning, Cognitive Science, Robotics, or related field. The ideal candidate will have excellent programming and analytic skills and a broad knowledge of machine learning and/or cognitive science. A strong interest in open-ended learning systems and human cognitive development is important. About FIAS The Frankfurt Institute for Advanced Studies (FIAS) is a hub for theoretical and computational research dedicated to solving complex scientific challenges. Our institute is located on the science campus of Goethe University Frankfurt (Campus Riedberg). Our fellows pursue interdisciplinary approaches to address fundamental questions in the various areas of natural sciences with an emphasis on biologically inspired computing. The working language of the institute is English. The position We offer a 2-year fulltime position in the lab of Prof. Dr. Jochen Triesch at the Frankfurt Institute for Advanced Studies (FIAS). Salary is based on TV-H E/13. FIAS is committed to fostering a workplace culture that promotes equality, diversity, and inclusion. We strongly encourage applications from qualified individuals regardless of gender, nationality, ethnic or social origin, religion, disability, age, or sexual orientation. Severely disabled persons with equal qualifications will be given priority. Your application Please submit your application in a single pdf file including: ? a cover letter including the (expected) date of your PhD and your desired starting date, ? a statement of research interests, ? your CV with publication list, ? contact information for at least two references. by 8 August, 2026 via our online portal: https://jobapplication.hrworks.de/de?companyId=amb4af72&id=efcd33 For further questions, please contact: Scientific issues: Prof. Dr. Jochen Triesch (triesch at fias.uni-frankfurt.de) Administrative issues: Meike Taplik (hr at fias.uni-frankfurt.de) -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt Some relevant recent papers: https://ieeexplore.ieee.org/abstract/document/11204381 https://onlinelibrary.wiley.com/doi/full/10.1111/desc.70211 https://link.springer.com/chapter/10.1007/978-3-031-73226-3_4 https://onlinelibrary.wiley.com/doi/full/10.1111/desc.70231 https://www.nature.com/articles/s41467-025-64234-z From lorenzo.cazzaro at uni.lu Fri Jul 10 06:18:04 2026 From: lorenzo.cazzaro at uni.lu (Lorenzo CAZZARO) Date: Fri, 10 Jul 2026 10:18:04 +0000 Subject: Connectionists: [RAISE 2026 CfP] Second submission round - Workshop on Real-world AI Security and Engineering for Cybersecurity Systems @ ESORICS 2026 Message-ID: The submission deadline of the second round is approaching: July 20! -- 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: * Second round paper submission deadline: July 20, 2026 AoE Submission Categories: * Full papers (up to 12 pages) * Non-archival papers (up to 6 pages) Accepted full papers will appear in the Springer LNCS workshop proceedings. Non-archival submissions may include previously published or concurrently submitted work and will not appear in the proceedings. Webpage: https://raise-workshop.github.io/ Workshop Organizers * Antonio Emanuele Cin?, University of Genoa, Italy * Lorenzo Cazzaro, University of Luxembourg, Luxembourg * Bhupendra Acharya, University of Louisiana at Lafayette, USA Steering Committee * Sadia Afroz, Gen Digital Inc. * Giovanni Apruzzese, Reykjav?k University * Maxime Cordy, University of Luxembourg * Engin Kirda, Northeastern University * Andrew Paverd, Microsoft * Vera Rimmer, KU Leuven * Fabio Roli, University of Genoa -------------- next part -------------- An HTML attachment was scrubbed... URL: From bruno.vento at unina.it Mon Jul 13 10:26:08 2026 From: bruno.vento at unina.it (bruno.vento) Date: Mon, 13 Jul 2026 16:26:08 +0200 Subject: Connectionists: WILD VISION: Reliable and Responsible Computer Vision in the Wild Message-ID: <2c0276a141be505e6a17c1055f80516f@unina.it> Dear Colleagues, We are pleased to announce the Call for Papers for: WILD VISION: Reliable and Responsible Computer Vision in the Wild a workshop held in conjunction with the British Machine Vision Conference 2026 (BMVC 2026), taking place in Lancaster, UK. Workshop website: https://lnkd.in/eFNyuy3D Important Dates * Paper submission deadline: September 15, 2026; * Camera-ready deadline: October 30, 2026; * Workshop date: November 26, 2026; Computer vision has achieved remarkable results on curated benchmarks. However, its deployment in real-world environments remains challenging because of distribution shifts, dataset biases, adverse conditions, sensor variability, domain changes, limited computational resources, and unpredictable scenarios. WILD VISION aims to bring together researchers and practitioners from academia and industry to discuss methods, datasets, benchmarks, evaluation protocols, and applications for reliable, robust, and responsible computer vision. Building on the success of the Pattern Recognition Special Issue "From Bench to the Wild: Recent Advances in Computer Vision Methods," which attracted more than 200 submissions, the workshop will promote reproducibility, interpretability, computational efficiency, and responsible deployment. Topics of Interest * Domain adaptation, generalization, and transfer learning; * Continual, online, and test-time learning; * Out-of-distribution detection and open-world recognition; * Long-tail and imbalanced learning; * Distributional and adversarial robustness; * Bias, fairness, and responsible artificial intelligence; * Uncertainty estimation, calibration, and explainability; * Foundation, vision-language, and multimodal models; * Multi-sensor fusion and Vision Transformers; * Generative AI, synthetic data, and sim-to-real transfer; * Image restoration and enhancement; * Edge AI, model compression, and real-time inference; * Robotics, autonomous systems, and intelligent transportation; * Safety-critical and applied computer vision; * Real-world datasets, benchmarks, and reproducibility; * Industrial deployment and applications. Workshop Organizers George Azzopardi University of Groningen, Groningen, The Netherlands. g.azzopardi at rug.nl Laura Fern?ndez Robles University of Le?n, Le?n, Spain. l.fernandez at unileon.es Antonio Greco University of Salerno, Fisciano, Italy. agreco at unisa.it Bruno Vento Consorzio Interuniversitario Nazionale per l'Informatica, Rome, Italy. brunovento.it at gmail.com We warmly invite researchers and practitioners to submit their contributions and join us at BMVC 2026. Please feel free to share this Call for Papers with interested colleagues, students, and research groups. Best regards, The WILD VISION Workshop Organizing Committee. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jncor at dei.uc.pt Mon Jul 13 09:28:46 2026 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Mon, 13 Jul 2026 14:28:46 +0100 Subject: Connectionists: [CFP] The CfP evo* 2027 - The Leading European Event on Bio-Inspired Artificial Intelligence - 31 March -2 April 2027 Message-ID: Dear Colleague(s), Below you will find the call for papers for evo* 2027. Deadline: November 1, 2026 Venue: Mainz, Germany Feel free to distribute and thank you for your time. Apologies for the cross-posting. Best regards, Jo?o Correia EvoStar Publicity Chair ---------------------------------------------------------------------- Call for papers for the EvoStar 2027 conference http://www.evostar.org/2027/ Submission Deadline: November 1, 2026 Conference: 31 March to 2 April 2027 Venue: Mains, Germany News: ** NEW Conference: evoLearn - The 1st International Conference on Evolutionary Computation and Learning (evoLearn 2027). Evolutionary Computation and Machine Learning are converging more strongly than ever, creating exciting opportunities for new algorithms, models, and applications. From adaptive evolutionary search and surrogate modelling to hyperparameter optimisation, neural architecture search, and non-differentiable learning problems, the interaction between these fields is driving progress on challenges beyond the reach of conventional techniques. evoLearn invites innovative contributions that explore this dynamic intersection and brings together researchers from Evolutionary Computation, Machine Learning, optimisation, and related areas in an inclusive, respectful, and internationally open forum for exchanging ideas, building collaborations, and shaping the future of learning and evolution. https://www.evostar.org/2027/evolearn/ ** Please distribute (Apologies for cross-posting) ------------------------------------------------ EvoStar (evo*) comprises five co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme of the European Commission, and they represent a continuity of research collaboration stretching back over 20 years. EvoStar is organised by SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings. This non-profit academic society is committed to promoting evolutionary algorithmic thinking, with the inspiration of parallel algorithms derived from natural processes. It provides a forum for information and exchange. The four conferences include: - euroGP 30th European Conference on Genetic Programming http://www.evostar.org/2027/eurogp/ - evoApplications 30th International Conference on the Applications of Evolutionary Computation http://www.evostar.org/2027/evoapps/ - evoCOP 27th European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2027/evocop/ - evoMUSART 16th International Conference (and 20th European event) on Artificial Intelligence in Music, Sound, Art and Design. http://www.evostar.org/2027/evomusart/ - evoLearn 1st International Conference on Evolutionary Computation and Learning https://www.evostar.org/2027/evolearn/ *** Important Dates, Venue and Publication *** Submission Deadline: November 1, 2026 Conference: 31 March to 2 April 2027 Venue: Mainz, Germany All accepted papers will be printed in the proceedings published by Springer Nature in the Lecture Notes in Computer Science (LNCS) series. Please check the website for more information: http://www.evostar.org/2027/ And follow us at: X - https://x.com/EvostarConf Instagram - https://www.instagram.com/evostarconference/ Follow SPECIES at: https://www.linkedin.com/company/species-society/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Mon Jul 13 10:59:12 2026 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 13 Jul 2026 16:59:12 +0200 Subject: Connectionists: From Binghamton to Granada: COMPLEX NETWORKS 2026 is open for submissions Message-ID: Dear colleagues, We would like to remind you that the 15th International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS 2026) will take place in Granada, Spain, from December 2?4, 2026, with tutorials on December 1. This anniversary edition will continue the tradition of bringing together researchers from network science, complex systems, graph learning, computational social science, physics, computer science, mathematics, biology, economics, and many other fields. The program will feature keynote lectures by Alexandra Brintrup, Nitesh Chawla, Kimmo Kaski, Bruno Lepri, and Eckehard Sch?ll, as well as tutorials by Fariba Karimi and Huijuan Wang. Submissions are invited in two formats: ? Full papers, up to 12 pages, for publication in the Springer proceedings; ? Extended abstracts, up to 4 pages, for presentation at the conference and publication in the Book of Abstracts with ISBN. Selected contributions will also be considered for journal special issues. Submission deadline: September 2, 2026 Submission: https://cmt3.research.microsoft.com/COMPLEXNETWORKS2026/ Website: https://complexnetworks.org/ As a reminder, the Springer proceedings of COMPLEX NETWORKS 2025, held last December in Binghamton, are currently freely available. They provide a good overview of the diversity of contributions presented at the conference, across theory, methods, and applications of complex networks. Free access to the 2025 proceedings, Volumes 1?4, is available until July 30, 2026: https://drive.google.com/drive/folders/11_Xzh--IUPNwj6HE-Hzj8cIhXL-LLbMZ?usp=sharing We warmly invite you to submit your work and to share this call with colleagues, students, postdocs, and young researchers who may be interested. Best regards, Hocine Cherifi General Co-Chair, COMPLEX NETWORKS 2026 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 g.goodhill at wustl.edu Mon Jul 13 11:16:08 2026 From: g.goodhill at wustl.edu (Goodhill, Geoffrey) Date: Mon, 13 Jul 2026 15:16:08 +0000 Subject: Connectionists: Graduate student / Postdoc position Message-ID: The emergence of spontaneous activity during cortical development Labs of Geoff Goodhill and Linda Richards Washington University School of Medicine, St Louis We are looking for a Postdoc or Graduate student to analyze and model the emergence of early patterns of spontaneous neural activity in developing cortex. We are interested in questions such as whether functionally distinct areas show common or distinct initial activity patterns, and how these patterns relate to subsequent function. This project is based on data from the dunnart (an Australian marsupial), an animal model which offers unique advantages over rodents for studying early activity since dunnarts are born at a much earlier stage of brain development. Our initial work on this project is described in https://www.pnas.org/doi/10.1073/pnas.2208654120. We are now using 2-photon imaging of soma-targeted GCaMP8m which offers data with much higher resolution and detail. The postdoc/student will work between the Goodhill and Richards labs, which are both located in a new 60,000 m^2 building dedicated entirely to neuroscience research which opened in 2023. USNews currently ranks Washington University =6th in the world for Neuroscience and Behavior. Applicants should have a strong math/engineering background and an interest in neuroscience, particularly spontaneous activity and the developing brain. To apply send a detailed CV including names of at least 3 referees and a cover letter explaining your interest in the position to g.goodhill at wustl.edu. Review of applications will begin immediately. Potential graduate students please note that there is an upcoming deadline of Aug 1st for applications to relevant Engineering graduate programs at WashU. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 4370 Duncan Ave. St Louis, MO 63110 g.goodhill at wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd Linda J. Richards Edison Professor and Chair, Department of Neuroscience Director, McDonnell Center for Cellular & Molecular Neurobiology Washington University School of Medicine -------------- next part -------------- An HTML attachment was scrubbed... URL: From gualtiero.volpe at unige.it Mon Jul 13 17:25:06 2026 From: gualtiero.volpe at unige.it (Gualtiero Volpe) Date: Mon, 13 Jul 2026 23:25:06 +0200 (CEST) Subject: Connectionists: Call for papers: Workshop on Collective States in Multimodal Interaction, at ICMI 2026 Message-ID: <96553194.15.1783977906069@localhost> Apologies for cross-posting. Dear colleagues, We invite you to our workshop: Collective States in Multimodal Interaction 9 October 2026 at ICMI 2026, Napoli, Italy https://honda-research-institute.github.io/Collective_States_in_Multimodal_Interaction/ Call for Papers We invite you to submit your unpublished work to the Workshop on Collective States in Multimodal Interaction, to be held in conjunction with the 28th ACM International Conference on Multimodal Interaction (ICMI 2026) in Napoli, Italy. The workshop will take place on one of the conference workshop days, 9 October 2026. Accepted papers will be presented at the workshop. See the workshop website for updates and submission details. Understanding collective states in group interaction is an emerging challenge at the intersection of multimodal AI, communication science, and social signal processing. While a large body of prior work has focused on individuals or dyads, many real-world settings, from meetings and brainstorming sessions to collaborative human-AI teams, depend on group-level phenomena such as collective engagement, shared attention, group affects, rapport, cohesion, and coordination. Recent progress in multimodal sensing and agentic AI creates new opportunities to model how these collective states arise, evolve, and influence individual behavior within groups. This workshop focuses on multi-party interaction settings in which AI systems must not only sense individuals, but also understand emergent group dynamics and, potentially, support them as peers or facilitators. The goal is to bring together researchers across artificial intelligence, multimodal interaction, and organization and communication science to advance methods, benchmarks, and applications for sensing and reasoning about collective states. The workshop will feature invited talks by Prof. Carlos Busso (Carnegie Mellon University) and Prof. Kazuhiro Otsuka (Yokohama National University). Topics of interest include, but are not limited to: * Multimodal sensing and modeling of collective states in group interaction * Group-level phenomena such as collective engagement, shared attention, group affect, rapport, cohesion, and coordination * Links between individual participant states and emergent group dynamics * Audio, video, language, physiological, and behavioral cues for multiparty interaction analysis * Multimodal fusion and temporal modeling for group behavior understanding * Annotation schemes, datasets, and benchmarks for collective states * AI agents as peers or facilitators in human-AI hybrid teams * Adaptive systems for improving participation, coordination, brainstorming, and collaboration * Explainability, robustness, fairness, privacy, and ethics in group sensing * Applications in meetings, education, healthcare, robotics, organizational settings, and other collaborative environments Submission Information We invite authors to submit papers in accordance with the ICMI formats via the PCS. Submissions will be peer-reviewed by the workshop committee. The review process will be double-blind. Important Dates Paper submission deadline: 17 July 2026 Notification to authors: 27 July 2026 Camera-ready deadline: 2 August 2026 Workshop day: 9 October 2026 Best, Giovanna Varni