AI list

Connectionists: Free Proceedings Access – Submit to COMPLEX NETWORKS 2026 in Granada, Spain !

2026-06-08T23:53:44.956-07:00

Last December in Binghamton, over 300 researchers came together to share the latest in network science, graph learning, and complex systems at COMPLEX NETWORKS 2025.

📚 We’re now offering you free access to the full Springer proceedings (Volumes 1–4), featuring high-impact contributions across disciplines:
👉 Access the proceedings (until June 30, 2026) :

https://drive.google.com/drive/folders/11_Xzh--IUPNwj6HE-Hzj8cIhXL-LLbMZ?usp=sharing

🚀 Be part of what’s next.
Submit your work to COMPLEX NETWORKS 2026, held in Granada, Spain, from December 2 to 4, 2026.

📌 Important Dates

Submission Deadline: September 2, 2026
Tutorials: December 1, 2026
Conference: December 2-4, 2026

📖 Submission Options

✅ Full Papers (max 12 pages) – Springer Proceedings Publication

✅ Extended Abstracts (max 4 pages) – Book of Abstracts with ISBN

🏆 Selected papers will be invited to journals including:

· Applied Network Science

· Advances in Complex Systems

· Complex Systems

· Entropy

· PLOS Complex Systems

· PLOS one

· Social Network Analysis and Mining

📩 Submit your paper
🌐 More info

We look forward to your contribution to this dynamic community!

Best regards,
The COMPLEX NETWORKS 2026 Organizing Committee
📧 hocine.cherifi@gmail.com | 🌐 complexnetworks.org

Join us at COMPLEX NETWORKS 2026

-------------------------

Hocine CHERIFI

Laboratoire Interdisciplinaire Carnot de Bourgogne - ICB UMR 6303 CNRS

Université 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

Connectionists: Essex BCI-NE webinar: Building Inclusive BCIs and Neurotechnologies by Prof. Mahnaz Arvaneh

2026-06-08T23:52:18.497-07:00

https://www.linkedin.com/company/essex-bcine-lab/

The Essex BCI-NE Lab invites you to join our next monthly webinar:

Beyond Accuracy: Building Inclusive BCIs and Neurotechnologies for Diverse Communities

Delivered by

Prof. Mahnaz Arvaneh

Professor of Intelligent Human-Machine Interfaces, Physiological Signals and Systems Laboratory, School of Electrical and Electronic Engineering, University of Sheffield, United Kingdom

The webinar will take place over Zoom on Wednesday, 24th June 2026, at 2 PM UK time

RSVP: https://www.linkedin.com/events/7469814451047784448

Abstract: Brain–computer interfaces and neurotechnologies are often developed and validated in participant groups that do not reflect the diversity of the communities they aim to serve. This creates risks of unequal performance, limited adoption, and exclusion from future benefits. In this talk, I will discuss inequities in BCI and neurotechnology research, focusing on barriers faced by marginalised communities in participation, trust, accessibility, and adoption. Drawing on findings from the ARIA-funded Neurotech4All programme, I will highlight how technical, cultural, practical, and psychological factors can shape user engagement. I will conclude with recommendations for designing more inclusive, acceptable, and scalable neurotechnologies.

Speaker Biography: Mahnaz Arvaneh is Professor of Intelligent Human–Machine Interfaces at the University of Sheffield and Director of the Physiological Signals and Systems Laboratory. Her research focuses on AI-powered, user-centred neurotechnologies, with particular expertise in brain–computer interfaces, EEG signal processing, machine learning, and closed-loop systems for cognitive and physical rehabilitation. She has led multiple interdisciplinary projects spanning healthcare, neurotechnology, and human–machine interaction, including the development of home-based BCI rehabilitation systems for stroke survivors. She currently leads the ARIA-funded Neurotech4All programme, which investigates barriers to participation and adoption of neurotechnology among marginalised communities and develops recommendations for more equitable and inclusive neurotechnology design. Professor Arvaneh serves as Associate Editor for several leading journals and has contributed to national and international initiatives shaping the future of neurotechnology.

The Essex BCI-NE Lab webinars series takes place monthly (usually, on the second or third Wednesday of the month) over Zoom and is open to all. Speakers are invited to talk about their research for 45-50 minutes followed by Q&A.

Where speakers allow it, we record the talks and make them available to everyone on our YouTube channel. You can watch previous talks at: https://www.youtube.com/@essexbcis

If you don’t want to miss our next webinars, please email serafeim.perdikis@essex.ac.uk to ask to be added to our webinars mailing list.

Best wishes,

Simis

Dr Serafeim Perdikis, Associate Professor (Senior Lecturer)
Brain-Computer Interfaces and Neural Engineering Laboratory
School of Computer Science and Electronic Engineering
University of Essex
Wivenhoe Park, Colchester CO4 3SQ
United Kingdom

Connectionists: Open PhD position - Brain-inspired Machine Learning and Spiking Neural Networks

2026-06-08T23:49:50.540-07:00

The Lab of Robert Legenstein at Graz University of Technology (Austria) https://www.tugraz.at/institute/iml/people/prof-legenstein/ is offering a funded PhD position (Univ. Assistant) in the areas Brain-inspired Machine Learning/Spiking Neural Networks. In paticular, we will investigate brain-inspired models that bridge between sub-symbolic and symbolic artificial intelligence approaches in the context of the Cluster of Excellence Bilateral AI: https://www.bilateral-ai.net A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. For details and application portal, see https://jobs.tugraz.at/en/jobs/e60aac86-0142-4968-a7f1-87662a99f784 -- Dr. Robert Legenstein Univ.-Professor Institute of Machine Learning and Neural Computation Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.iml.tugraz.at/legi/ WebEx: https://tugraz.webex.com/meet/robert.legenstein ++43/316/873-5824 ----------------------------------

Connectionists: [CFP] Conference on Lifelong Learning Agents (CoLLAs) 2026 - Non-archival Track

2026-06-08T23:47:37.474-07:00

Dear All,

We invite you to submit to the non-archival track of CoLLAs 2026.

The Conference on Lifelong Learning Agents (CoLLAs) is an annual gathering of researchers to exchange ideas on all facets of adaptation of ML models, especially, but not limited to, the ability for lifelong learning. The model can be adapted continually during training on new data/tasks/skills, or could just be a one-off fine-tuning or model merging. Adaptation can add new knowledge, or remove/edit outdated undesired behaviors.

The Non-Archival Track of CoLLAs is designed to allow authors to present work in three categories:

1. Journal Track: recently published work in journals. TMLR will provide a “CoLLAs certification” for TMLR papers that are accepted to be presented at the CoLLAs conference.

2. Sister Conference Track: recently published conference papers at sister conferences like ICML/ICLR/NeurIPS/CVPR/ICCV/ACL/EMNLP/etc.

3. Work-in-Progress Track: ongoing work that is not yet ready for submission to a main conference or journal.

More details about the call can be found here: https://lifelong-ml.cc/Conferences/2026/call_for_non_archival_track

Openreview page for journal/sister-conference Track: https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2026/Published_Journal-Conference_Papers_Track

Openreview page for work-in-progress Track: https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2026/Work-In-Progress_Track

Submission Deadline: July 01, 2026.

CoLLAs 2026 will be held in Precis Center, National University of Science and Technology POLITEHNICA Bucharest, Romania, and will be an in-person conference.

For any questions about the conference, you can contact us at contact@lifelong-ml.cc.

Regards,

Camila Gonzalez, Xialei Liu

CoLLAs 2026 Non-archival Track Chairs

Connectionists: PhD Position in Neuro-Symbolic AI at Ulm University

2026-06-08T03:23:24.770-07:00

1x PhD Position (TVöD E13, 100%)

in Neuro-Symbolic AI

University of Ulm, Institute of Neural Information Processing, Faculty of Engineering, Computer Science and Psychology

There is a fully funded PhD position available at the Institute of Neural Information Processing, Ulm University, Germany. At the institute we are interested in the mathematical foundations of intelligent behaviour in biological and artificial systems. The PhD topic will revolve around the fundamental question of how the abstraction capabilities of classic symbolic knowledge systems can be combined with the sub-symbolic pattern recognition capabilities of neural networks in order to allow neural networks to take existing knowledge into account when making predictions. The PhD position will be part of the newly established DFG graduate school KEMAI (https://kemai.uni-ulm.de/). The structured PhD programme has a duration of 3 years with the possibility of extending for one more year. The candidate will have the opportunity both to make contributions to fundamental questions in AI and cognitive science and to apply their work directly in the context of medical imaging through collaboration with Ulm University Clinic.

The applicants should have a strong mathematical background, hold a degree in natural science, mathematics, economics, psychology, computer science, engineering or similar and have a keen interest in neuroscience and artificial intelligence. The position will be available from JAN 1, 2027 and will be filled as soon as possible.

The University of Ulm is an equal opportunity employer.

Candidates should send a CV and a brief statement of interest to Prof. Dr. Dr.
Daniel Alexander Braun daniel.braun@uni-ulm.de

Connectionists: Invitation to deliver a keynote address/invited talk at the 8th icSoftComp2026 | Singapore | Scopus-indexed | Springer CCIS

2026-06-08T03:18:56.422-07:00

Dear Professor,
Greetings!
I'm pleased to inform you that the 8th International Conference on Soft Computing and its Engineering Applications (icSoftComp2026) will be organized on December 8–10, 2026, in Singapore.

Web: https://icsoftcomp.org/
Springer Conference Series: https://link.springer.com/conference/icsoftcomp

icSoftComp2026 aims to provide an excellent international forum for researchers, academicians, students, and professionals in areas of computer science and engineering to present their research, knowledge, new ideas, and innovations. The conference will exhibit an exciting technical program and feature high-quality tutorials and workshops, industry panels, exhibitions, and keynotes from prominent research and industry leaders.

If you would like to deliver a keynote or invited talk during the conference, could you please fill out https://forms.gle/7WYXd9CZP4A1kRry8, or send an email to kanupatel.mca@charusat.ac.in

There is NO registration fee for the speakers. We may arrange the talk ONLINE.

In case you need to review some keynote addresses from past conferences of icSoftComp, you may visit this link: https://icsoftcomp.org/speakers.php

Could you please let me know if you need any other information?

Warm regards,
KK Patel, Ph.D.,
Email: kanupatel.mca@charusat.ac.in
Cell: +91-8200103724 (WhatsApp)

Connectionists: [jobs] Postdoc in Reinforcement Learning for Musculoskeletal Robots at University of Twente (NL, EU)

2026-06-08T03:18:53.371-07:00

Postdoc Opportunity in Reinforcement Learning for Musculoskeletal Robotics

We are looking for a highly motivated Postdoctoral Fellow to join the NeuBoticsLab at the University of Twente's Robotics Centre as part of a collaborative Swiss National Science Foundation SNSF project with ETH Zürich’s Soft Robotics Lab.

The project focuses on developing Digital HumanTwins of human-inspired musculoskeletal robots, combining reinforcement learning, neuromusculoskeletal modeling, and robotic experimentation to enable robust sim-to-real control of next-generation robotics.

If your background includes robotics, machine learning, biomechanics, AI, control systems, we’d love to hear from you.

📍 Enschede, The Netherlands
📅 Application deadline: 5 July 2026
🔗 Apply here: https://utwentecareers.nl/en/vacancies/2509/postdoctoral-fellow-opening-reinforcement-learning-for-the-control-of-human-inspired-musculoskeletal-robots/

---
Massimo Sartori
Full Professor and Head of Chair, Neuromuscular Robotics
Lab Head, Neubotics Lab

University of Twente, TechMed Centre, Robotics Centre
Faculty of Engineering Technology
Department of Biomechanical Engineering
7500 AE, The Netherlands

Personal: https://people.utwente.nl/m.sartori
Lab: https://bit.ly/NMLab
YouTube: https://bit.ly/NMLTube

Connectionists: Call for participants

2026-06-08T00:47:08.682-07:00

Hello everyone,

We apologize for the potential multiple receptions.

We are reaching out today because we are looking for participants for a scientific study. We need at least 90 participants for this study. That’s a lot, so everyone’s participation is a huge help.

What is the context of this study?

Today, the media allows us to stay informed and connected. However, the amount of new information each day is enormous, and it is impossible to read it all. Not to mention that everyone’s interests are different.

Fortunately, recommendation systems allow us to select a subset of news articles based on your preferences.

The goal of our study is to better understand how these recommendations and the information they contain affect users, not to perfect these recommendation systems.

So, what exactly am I expected to do?

We are looking for participants for a two-stage study. In the first stage, you will be asked to fill out a demographic questionnaire and rate a set of news articles based on their title and a short description. This stage is essential so that we can provide personalized recommendations tailored to your profile in the second stage.

The second stage will take place around three weeks later. This timeframe is necessary to allow us to recruit enough participants for the first stage and train our models. During this second stage, you will be asked to rate a set of recommendations and complete a final questionnaire.

Great, and how long does it take?

The duration can obviously vary from person to person, but the estimated time is about 30 minutes for each stage.

Who can participate?

To participate, you must:

Be of legal age
Have normal or corrected vision
Understand English (minimum B2 level) as the entire experience is in English
You did not participate in the first experiment in November 2025
Use a computer or a tablet (the experience is not guaranteed to work on a phone)

Why is it important to participate?

In science, it’s important to include as many participants as possible in our studies to ensure the reliability of our results. A phenomenon observed for 3 individuals cannot be generalized; but when observed for 100, it’s already much more reliable. Every contribution is a big help. If you can’t participate, you can share this message to help us.

I’m convinced. How do I participate?

To participate, simply visit the following website:

http://ece-research.fr/

(Please note: this is http, not https)

Once on the page, click “Participate” and follow the instructions.

If you have any questions, we are of course available at the following address:

echauvergne@ece.fr

Thank you all for your help! Do not hesitate to share this user study with your friends, colleagues, and family.

Edwige Chauvergne, Romain Giot, Romain Bourqui and Guilherme Medeiros Machado

—

Romain Bourqui

Maître de conférences / Associate Professor, IUT de Bordeaux & LaBRI UMR CNRS 5800

Responsable de l’équipe Bench to Knowledge and Beyond / Head of Bench to Knowledge and Beyond research team

Connectionists: MSc in Artificial Intelligence & Data Science — Application Deadline Approaching (Frankfurt School, Germany)

2026-06-08T00:24:41.120-07:00

Dear colleagues The application deadline (June 30, 2026) is approaching for our very international MSc program in Artificial Intelligence & Data Science at the Frankfurt School of Finance & Management in Frankfurt, Germany. The full-time program starts on August 24, 2026. Applicants should have a solid background in a quantitative subject (e.g., mathematics, engineering, computer science, or physics) and an interest in interdisciplinary, data-driven problem solving. The program includes a dedicated company cooperation project enabling students to apply methods from courses in machine learning operations and agentic systems. Further information and application details are available at: https://www.frankfurt-school.de/en/study/master/master-of-artificial-intelligence-and-data-science A short video introduction to the program is available here: https://www.youtube.com/watch?v=j1-jmGho-vk Best regards, Lucas Boettcher

Connectionists: World wide VVTNS series (6th season): June 10 2026 | Learning to Compose: Geometric Reorganization of Prefrontal Dynamics Enables Flexible Multi-Task Control | Alexandre Leon Mahrach IDIBAPS, Barcelona

2026-06-07T23:45:28.362-07:00

https://www.wwtns.online - on twitter: wwtns@TheoreticalWide

You are cordially invited to the lecture

Alexandre Leon Mahrach

IDIBAPS, Barcelona

on the topic of

Learning to Compose: Geometric Reorganization of Prefrontal Dynamics Enables Flexible Multi-Task Control

The lecture will be held on Zoom on June 10, 2026 at 11:00 am ET

To receive the link: https://www.wwtns.online/register-page

Abstract: Complex behavior requires neural circuits to compose elementary operations—maintaining memories, evaluating sensory cues, suppressing premature actions—into context-appropriate programs. How prefrontal dynamics reorganize to support such composition when task demands compete within a shared neural population remains unclear. Here, we developed a dual-task paradigm in mice that combined a delayed paired-association (DPA) task with an olfactory Go/No-Go (GNG) discrimination embedded in the delay period. Mice learned the dual task rapidly, with early errors dominated by false alarms on unpaired DPA trials. Interference was asymmetric: Go cues disrupted performance more than No-Go cues, pinpointing premature action rather than memory failure as the central learning bottleneck. Population calcium imaging from medial prefrontal cortex (mPFC) showed that sample identity, choice tendency, and test identity occupied near-orthogonal subspaces of a shared low-dimensional manifold. As training progressed, sample

representations remained stable while delay-period activity shifted away from the action-associated region. To probe the underlying circuit mechanisms, we trained low-rank recurrent neural networks on the same paradigm. Networks developed a circular manifold on which memories were stored as attractors at distinct angular positions, and test stimuli acted as compositional rotation operators, routing stored memories to appropriate actions. Dual-task training relocated mnemonic attractors to a position that a reduced geometric model identified as Pareto-optimal—revealing a fundamental tradeoff in which optimizing one task necessarily impairs the other. Consistently, optogenetic inhibition of ACC→mPFC projections during the delay displaced attractor geometry and selectively biased DPA versus GNG accuracy, matching the reduced model's prediction. Together, our results reveal how prefrontal circuits dynamically reshape attractor geometry through learning-dependent attractor fine-tuning, providing a mechanistic framework for how cortex resolves competing cognitive demands.

About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, held on Wednesdays at 11 am ET, are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.

ᐧ

Connectionists: [CFP] Workshop and Challenge on Human–Scene Interaction (HSI) at ECCV 2026

2026-06-07T23:40:21.617-07:00

We invite submissions to the First Workshop on Human–Scene Interaction (HSI) at ECCV 2026 in Malmö, Sweden.

=====================================================

Important Dates:
Submission deadline: July 7, 2026
Notification: July 31, 2026
Workshop: September 2026

We welcome both archival and non-archival submissions.

Website: https://www.hsi-workshop.com/
Contact: hsi-workshop@googlegroups.com

=====================================================

Overview

This workshop focuses on modelling and generating human/humanoid motion and behaviour grounded in the surrounding scene. The goal is to bring together research from computer vision, graphics, robotics, and multimodal learning to advance scene-aware embodied agents.

=====================================================

Invited Speakers

- Umar Iqbal – NVIDIA DAIR
- Taku Komura – University of Hong Kong
- Zhengyi Luo – NVIDIA GEAR
- Gerard Pons-Moll – University of Tübingen

=====================================================

Topics include, but are not limited to:

- Scene-conditioned human motion generation
- Human-scene and human-object interaction modelling
- Referring expression understanding and grounding in 3D scenes
- Language understanding and grounded communication for embodied agents
- Vision-language-motion alignment and grounding
- Vision-language-action (VLA) models for embodied agents
- Multimodal learning for motion and interaction
- Datasets, benchmarks, and evaluation for interaction
- Affordance learning and scene understanding
- Physically-based simulation of interaction
- Applications in robotics, animation, AR/VR, and embodied communication
- Technical reports accompanying challenge submissions

=====================================================

Submission Guidelines

Archival Submissions
- Must present original, unpublished work.
- Will undergo peer review.
- Accepted papers will be published in the ECCV 2026 Workshop Proceedings (Springer LNCS).
- Papers must follow the ECCV formatting guidelines.

Non-Archival Submissions
- May include previously published work, work under review, or ongoing research.
- Intended for presentation only (poster or oral), and will not be included in the proceedings.
- Ideal for sharing recent results, demos, or position papers.

=====================================================

Challenge Track

The workshop will also host a challenge on scene-aware gesture generation based on the MM-Conv dataset. Participation in the challenge requires a paper submission describing the method. All challenge submissions will be considered archival submissions and will undergo peer review.

Challenge details: https://www.hsi-workshop.com/challenge

=====================================================

Organizers
- Jonas Beskow, KTH Royal Institute of Technology (Sweden)
- Rishabh Dabral, Max Planck Institute for Informatics (Germany)
- Anna Deichler, KTH Royal Institute of Technology (Sweden)
- Fethiye Irmak Doğan, University of Cambridge (UK)
- Anindita Ghosh, Max Planck Institute for Informatics (Germany)

Connectionists: Last seats @ Quantum & Neuromorphic Optimization summer school

2026-06-07T00:11:14.030-07:00

Call for Participation (apologies for multiple copies)

-----------------------------------------------------------------------
MESS 2026 - Metaheuristics Summer School
~ Emerging Computing Paradigms for Optimization:
from Quantum to Neuromorphic ~

6-10 July 2026, Catania, Italy

https://www.ANTs-lab.it/mess2026/
mess.school@ANTs-lab.it
https://www.facebook.com/groups/MetaheuristicsSchool/
-----------------------------------------------------------------------

** LAST SEATS - APPLICATION DEADLINE: 15th June 2026 **
https://www.ants-lab.it/mess2026/apply.html

MESS 2026 offers a deep dive into the frontiers of Quantum and Neuromorphic computing. The program explores the entire technological stack, covering architectures, programming models, and advanced algorithms for complex optimization. Through a blend of theoretical lectures and hands-on sessions, participants will gain the expertise to lead innovation in next-generation computational research.

The lectures will focus on the following topics for both quantum and neuromorphic computing: 1) architectures; 2) programming models; 3) optimization algorithms and applications; and 4) pratical work.

The school will involve a total of 36-40 hours of lectures; therefore, in according to the academic system, all PhD and master students attending the summer school will can get 8 ECTS points.

** LECTURERS

# QUANTUM COMPUTING:
+ Siddhartha Bhattacharyya, VSB Tech. Un. Ostrava, Czech Republic
lecture1: "Introduction to Quantum Computing"
lecture2: "Quantum Neural Networks: From Quantum-Inspired Framework to Quantum-Gate Framework"

+ Linsey Rodenbach, Quantum Computing at NVIDIA
lecture1: "TBA"
lecture2: "TBA"

+ Philippe Lacomme, Université Clermont-Auvergne, CNRS, France
lecture1: "TBA"
lecture2: "TBA"

# NEUROMORPHIC COMPUTING:
+ Irem Boybat, IBM Research Zurich, Switzerland
lecture1: "TBA"
lecture2: "TBA"

+ Elisa Donati, Institute of Neuroinformatics UZH/ETH
lecture1: "Neural networks and neural computing"
lecture2: "Neuromorphic Computing and Technology"

+ El-Ghazali Talbi, University of Lille, France
lecture1: "Neuromorphic computing: A gentle introduction"
lecture2: "Neuromorphic-based optimization: Algorithms based on metaheuristics and computational biology"

+ Jorge Cruz-Duarte, University of Lille, France
lecture1: "Neuromorphic-based optimization: Software framework under Lava and Nengo"

** SHORT ORAL PRESENTATION

All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. The organizing committee will review the abstracts and will recommend the format of the presentation (oral or poster). All abstracts will be published in the electronic hands-out book of the summer school.

The Abstracts must be submitted during the application by *June 15, 2026*.

** MESS 2026 DIRECTORS:
- Salvatore Greco, University of Catania, Italy
- Mario Pavone, University of Catania, Italy
- Andrea Schaerf, University of Udine, Italy
- El-Ghazali Talbi, University of Lille, France
- Daniele Vigo, University of Bologna, Italy

** MORE INFORMATION:

https://www.ANTs-lab.it/mess2026/ -- mess.school@ANTs-lab.it
Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/

Connectionists: [Challenge] ECML-PKDD - Real-World Baselines Challenge: Dynamic Train Rescheduling under Stochastic Perturbations

2026-06-06T05:21:04.412-07:00

The AI4REALNET Railway Competition for the ECML PKDD 2026 conference has extended its deadline! Real-World Baselines Challenge: Dynamic Train Rescheduling under Stochastic Perturbations You can still join the competition or improve your solutions. The submission-deadline has been extended to June 29th, 2026 (AoE). All the necessary information to participate is available on our competition website. The most important bits are: - Website - https://competition.flatland.cloud/suites/6240c685-0fb4-481e-9404-47a570632227 - ECML 2026 Starterkit - https://github.com/flatland-association/ecml2026-starterkit - Documentation - https://flatland-association.github.io/flatland-book/challenges/ecml2026.html There is a RL track as well as a non-RL track How to participate? Submit your solution on the website: https://competition.flatland.cloud/suites/6240c685-0fb4-481e-9404-47a570632227 Good luck and we are looking forward to your contribution. Best regards from the organization team, Daniel Boos, Switzerland for http://ai4realnet.eu

Connectionists: CFP: SoGood 2026 - ECML-PKDD Workshop on Data Science for Social Good - Deadline Extended to June 14

2026-06-06T05:20:37.289-07:00

================= Call for Papers SoGood 2026 – 11th Workshop on Data Science for Social Good Affiliated with ECML-PKDD 2026, September 7-11, 2026, Naples, Italy, https://ecmlpkdd.org/2026/ Workshop site: https://sites.google.com/view/sogood-2026/ ================= Due to several requests the deadline for paper submission was extended to June 14, 2026. Important Dates: There will be an award for the best paper. - Submission deadline: June 14, 2026 (New deadline) - Acceptance notification: July 3, 2026 - Camera-ready deadline: July, 10, 2026 - Workshop: September 7, 2026 All Deadlines are Anytime on Earth (AoE) at 23:59. Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt

Re: Connectionists: Several Postdoctoral researchers and 1-2 doctoral researcher positions in machine learning in Kaski Lab

2026-06-06T05:19:56.138-07:00

[Apparently the link was not working, here again. Sorry for double posting. /Samuel]

I am hiring: Several Postdoctoral researchers and 1-2 doctoral researcher positions in machine learning in Kaski Lab, ELLIS Institute Finland and Manchester Centre for AI Fundamentals, DL June 28, 2026

Topics:
- Multimodal foundation models
- Out-of-Distribution Generalization
- Collaborative AI
- Fundamental and Applied ML (propose specifics!)

For more info, see the links at the top of https://kaski-lab.com

From: Samuel Kaski <samuel.kaski@manchester.ac.uk>
Date: Tuesday, 2. June 2026 at 21.47
To: Connectionists <connectionists@cs.cmu.edu>
Subject: Several Postdoctoral researchers and 1-2 doctoral researcher positions in machine learning in Kaski Lab

For more info, see the links at the top of

Connectionists: GeMAIHc 2027: early registration June 22

2026-06-06T05:12:48.073-07:00

********************************************************

1st INTERNATIONAL SCHOOL ON GENERATIVE & MULTIMODAL AI FOR HEALTHCARE

GeMAIHc 2027

Milan, Italy

February 1-5, 2027

https://gemaihc.irdta.eu/2027/

********************************************************

Co-organized by:

Human Technopole

IRDTA – Institute for Research Development, Training and Advice

******************************************************

Early registration: June 22, 2026

******************************************************

SCOPE

AI is rapidly redefining biomedical research, clinical decision-making, and healthcare delivery worldwide. GeMAIHc 2027 will provide participants with a comprehensive overview of state-of-the-art AI methodologies. Topics will include generative modelling, multimodal data integration and augmentation, large language models and clinical NLP, medical image synthesis and analysis, as well as evaluation, robustness, validation, ethical considerations, and regulatory aspects of AI systems in healthcare.

GeMAIHc 2027 aims to become a leading international forum at the intersection of generative AI, multimodal learning, and healthcare innovation. The program will emphasize both methodological foundations and real-world clinical applications, combining theoretical insights with practical perspectives.

This interdisciplinary event will feature 18 monographic three-hour courses, 2 keynote lectures, 1 symposium, 4 local presentations, and hands-on activities with a hackathon.

Leading academics and industry pioneers will share their expertise and perspectives with attendees. In-person interaction and networking will be central components of the event, while full remote participation will also be possible.

ADDRESSED TO

The program is open to PhD students and postdoctoral researchers in AI, data science, and biomedical disciplines, clinicians and healthcare professionals, industry practitioners and innovators, and policymakers and stakeholders in digital health. There are no formal academic prerequisites for participation. Researchers and professionals at all career stages are welcome.

An international audience is expected, with backgrounds spanning computer science, medicine, engineering, mathematics, statistics, physics, and the social sciences.

GeMAIHc 2027 will offer a unique opportunity to gain in-depth knowledge of a rapidly evolving field, to interact with experts across disciplines, to establish collaborations and expand professional networks, and to explore how AI is reshaping the future of healthcare.

VENUE

GeMAIHc 2027 will take place in Milan, one of Europe’s leading international centers for science, industry, fashion, and finance.

The venue will be:

Human Technopole

Viale Rita Levi-Montalcini, 1

20157 Milan, Italy

https://humantechnopole.it/en/

STRUCTURE

Three parallel courses will run throughout the event. Participants will be free to choose the sessions they wish to attend and may move between courses at any time.

A symposium will offer participants and companies the opportunity to present ongoing research or industrial developments through 10-minute oral presentations.

The school will include a hackathon, during which participants will work in teams to tackle challenges in generative and multimodal AI for healthcare.

All lectures will be video recorded and made available to participants for 45 days after the event.

Full live online participation will be possible. Nevertheless, the organizers emphasize the importance of in-person interaction and networking in research training events of this kind.

KEYNOTE SPEAKERS

Deborah Estrin (Cornell University), Transforming Longitudinal Care with Digital Biomarkers and Therapeutics

Lyle Palmer (Adelaide University), tba

PROFESSORS AND COURSES (list to be completed)

Pierre Baldi (University of California Irvine), [introductory/advanced] The AI-driven Healthcare of the Future

Alejandro Frangi (University of Manchester), [intermediate/advanced] Virtual Patient Populations for In Silico Trials Using Generative AI Based on Multimodal Real-World Data

Charles Friedman (University of Michigan), [introductory] Synergizing AI and Learning Health Systems to Transform Health

Judy Wawira Gichoya (Emory University), [introductory/advanced] Combination in a Hands on Lab for Harmonizing Radiology Datasets

Maryellen Giger (University of Chicago), [introductory/intermediate] Role of Data & Algorithms in Trustworthy Medical Imaging AI

Casey Greene (University of Colorado), [introductory/advanced] Translating Generative AI into Healthcare from Pharmacogenomics to Foundation Models

Tina Hernandez-Boussard (Stanford University), [intermediate/advanced] The AI Lifecycle in Healthcare: Evaluation, Deployment, and Responsible Implementation

Jianying Hu (IBM Thomas J. Watson Research Center), [intermediate/advanced] Advanced Computing for Biomedical Research and Discovery

Jayashree Kalpathy-Cramer (University of Colorado), [introductory] Toward Digital Twins: Multimodal AI for Imaging and Precision Medicine

Alex John London (Carnegie Mellon University), [intermediate/advanced] Ethical and Scientific Challenges to Unlocking the Clinical Value of Artificial Intelligence

Faisal Mahmood (Harvard University), tba

Tom Pollard (Massachusetts Institute of Technology), tba

Hoifung Poon (Microsoft Research), [advanced] Toward Virtual Patient: AI for Accelerating Medical Discovery

Jian Tang (Mila-Québec AI Institute), [introductory/advanced] Generative AI for Protein Design

Peter van Ooijen (University of Groningen), [intermediate] Multimodal AI for Adaptive Radiotherapy: Tumor Segmentation, Uncertainty, and Explainability

Karin Verspoor (Royal Melbourne Institute of Technology), [introductory/intermediate] AI Scientists and beyond: Roles for GenAI in Biomedical Research and Discovery

Jelmer M. Wolterink (University of Twente), tba

SYMPOSIUM

A symposium will feature voluntary 10-minute oral presentations on ongoing research projects and industrial developments.

Participants interested in presenting should submit a one-page abstract including title, authors, and summary to david@irdta.eu by January 8, 2027.

HANDS-ON ACTIVITIES

Hands-on team activities will be organized around challenges in generative and multimodal AI for healthcare. The challenges will be released two weeks before the beginning of the school. A jury will evaluate the submissions, and the winners will be announced at the end of February 2027. Winning teams will receive a modest monetary prize, while runners-up will receive certificates of recognition.

ORGANIZING COMMITTEE

Jan Funke (Milan)

Ilaria Guerini (Milan)

Francesca Ieva (Milan)

Carlos Martín-Vide (Tarragona, program chair)

Michela Carlotta Massi (Milan, local chair)

Santiago Montes (Tarragona, webpage)

Sara Morales (Luxembourg, finances)

David Silva (London, organization chair)

REGISTRATION

Registration is available at:

https://gemaihc.irdta.eu/2027/registration/

The selection of six courses requested during registration is tentative and non-binding. This information will help estimate demand for logistical planning purposes.

As venue capacity is limited, registrations will be processed on a first-come, first-served basis. Registration will close once capacity has been reached. Early registration is strongly recommended.

FEES

Registration fees include access to all school activities and lunches.

Several early registration deadlines are available, and fees vary depending on the registration period.

Fees are identical for on-site and online participation.

ACCOMMODATION

Accommodation suggestions will be provided in due time at:

https://gemaihc.irdta.eu/2027/accommodation/

CERTIFICATE

Participants will receive a certificate indicating 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS recognition from their home institutions.

Connectionists: 1st Call for Participation: International Artificial Intelligence Summer School – IAISS 2026, Sept 20-24, Riva del Sole Resort & SPA @ Tuscany * Registration: by June 23 *

2026-06-06T05:12:05.349-07:00

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *

IAISS2026, A Residential Summer School in Frontier AI

IAISS 2026 is a full-immersion 5-day Summer School in Tuscany on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts.

📍 Riva del Sole Resort & SPA @ Tuscany, Italy, 🗓 Sept 20-24, 2026

🔗 https://2026.iaiss.cc
iaiss@icas.cc

🎤 LECTURERS:
Each Lecturer will hold up to four lectures on one or more research topics.

Stefano V. Albrecht, Nanyang Technological University, Singapore
Giuseppe De Giacomo, University of Oxford, UK
Christoph Feichtenhofer, Meta Superintelligence Labs, USA
Sven Giesselbach, T-Systems International, Germany
Jamie Hayes, Google DeepMind, UK
Sumi Helal, University of Bologna, Italy
Albert Q. Jiang, Mistral AI, Paris, France & University of Cambridge, UK
Marine Le Morvan, INRIA Saclay, France
Bruno Lepri, FBK, Italy
Sebastian Lins Risi, Sakana AI, Japan & IT University of Copenhagen, Denmark
George Paliouras, National Center for Scientific Research "Demokritos", Athens, Greece
Panos Pardalos, University of Florida, USA

More Lecturers TBA

🔗 https://2026.iaiss.cc/lecturers/

🔗 https://2026.iaiss.cc/lectures/

🚨 REGISTRATION: by June 23 (AoE)
https://2026.iaiss.cc/registration/

Applicant *may* submit (during the Registration Process) a research abstract (max 2 pages; any format) for presentation. School directors and the scientific committee will review the abstracts and will recommend for poster and/or short talk.
Abstract can be submitted by June 23 during the registration process.

PAST EDITIONS:
https://2026.iaiss.cc/previous-editions/

IAISS Norbert Wiener Best Presentation Award in Artificial Intelligence:
https://2026.iaiss.cc/best-presentation-award/

VENUE:
https://2026.iaiss.cc/venue/
Riva del Sole Resort & SPA
Località Riva del Sole‚ Castiglione della Pescaia (Grosseto)
CAP 58043‚ Tuscany‚ Italy
p: +39-0564-928111
e: booking.events@rivadelsole.it
w: https://www.rivadelsole.it/en/

✅ CERTIFICATE & 8 ECTS:
The International Artificial Intelligence Summer School – IAISS 2026 is a full-immersion five-day Summer School at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. The Summer School provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment.

PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the IAISS attendants. The Summer School will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student – BSc Student) attending the Summer School.

Language: English.

To participate in the IAISS 2026, all attendants must

(1/2) register for the school (by June 23, 2026) and

(2/2) book accommodation at the school venue, “Riva del Sole Resort & SPA” (by July 23, 2026); all attendants must stay at the “Riva del Sole Resort & SPA”.

Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the IAISS organizing committee (iaiss@icas.cc).

IAISS is a residential school, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made.

For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking.events@rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book an apartment in single use.
IAISS is organized as a non-profit scientific event.

Please note that only IAISS registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the IAISS Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking.

Anyone interested in participating in IAISS 2026 should register as soon as possible:

👉 https://2026.iaiss.cc/registration/

See you in Riva del Sole in September!
IAISS 2026 Organizing Committees.

https://2026.iaiss.cc
iaiss@icas.cc

https://www.linkedin.com/groups/19146028/

Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: https://2026.iaiss.cc
the News Section: https://2026.iaiss.cc/category/news/
and the FAQ: https://2026.iaiss.cc/faq/

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *

Connectionists: [Workshop] Call for Papers - GLOW Workshop @ ISWC'26

2026-06-05T03:00:25.262-07:00

----------------------------------------
GLOW Workshop @ ISWC'26 - Call for Papers
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2nd Workshop on Graph-enhanced LLMs for trustwOrthy Web data management (GLOW)

October 25-26, 2026, held as part of the International Semantic Web Conference (ISWC'26)

https://glow-workshop.github.io/iswc2026/
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Workshop description

The recent growth of Large Language Models (LLMs) has expanded possibilities in data management, enabling powerful natural language access, reasoning, and decision support. However, reliability and trustworthiness remain major challenges when deploying LLMs in sensitive domains. Graph-based representations of knowledge and data (e.g., knowledge graphs and property graphs) provide a promising avenue to address these challenges.

LLMs generate fluent responses but often struggle with factuality, bias, hallucinations, and a lack of explainability. Graphs, on the other hand, provide structured, interconnected representations that can serve as grounding and validation layers for LLM-based systems. In this context, Semantic Web technologies offer standardized graph-based frameworks (e.g., RDF and ontologies) to formally model, link, and reason over knowledge.

We invite submissions that address, but are not limited to, the following themes:

Detection and mitigation of hallucinations, bias, and misinformation in LLMs using graph-based techniques.
Property graphs as a foundation for profiling, reliability, and LLM-grounded reasoning.
Querying property graphs with natural language interfaces powered by LLMs.
LLMs as assistants for constructing and validating reliable knowledge graphs.
Agentic AI for structured reasoning and decision-making over graph-based knowledge.
Semantic Web standards for grounding and verifying LLM-generated outputs.
Ontology-based reasoning and neuro-symbolic approaches for trustworthy LLM-driven systems.
Integration of Knowledge Graphs for retrieval-augmented generation and fact-checking.
Applications of LLMs combined with Semantic Web technologies for reliable Web-scale data management, scientific knowledge representation, and enterprise knowledge graphs.
Evaluation benchmarks and metrics for reliability and trustworthiness in graph-enhanced LLMs.

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Paper Submission Procedure

We invite research, industry, application contributions, and software demonstration submissions. Regular papers presenting original work are solicited. Moreover, discussion papers containing descriptions of results already published are also welcomed. There are two submission formats:

Regular papers (up to 12 pages + references). Original research works. Regular papers must be original and not simultaneously submitted to another journal or conference.
Discussion papers (up to 8 pages + references). Results and ideas of interest to the workshop audience, including extended abstracts of recent authors’ publications, papers currently under submission, position papers, system and application descriptions, and presentations of preliminary results.

Paper selection will be based on originality, clarity, and technical quality. Submissions of papers must be in English, in PDF format, and formatted following the new CEUR-ART 1-column style, which is the style requested for the camera-ready preparation (Overleaf template). Accepted papers will be included in the proceedings. Proceedings will be published on CEUR-WS.org and indexed in Scopus. After acceptance, authors are required to re-submit the final PDF.

----------------------------------------

Important dates

All deadlines are Anywhere on Earth (AoE).

Paper submission: July 14, 2026
Author notification: August 11, 2026
Workshop: October 25-26, 2026

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Organization

Gianluca Bonifazi, Marche Polytechnic University
Stefano Cirillo, University of Salerno
Eliana Pastor, Polytechnic University of Turin
Luca Virgili, Marche Polytechnic University

Connectionists: Deadline Extension – IEEE ICAI-TEMS 2026 | Abstract Submission Extended to June 14

2026-06-05T01:23:38.650-07:00

Dear colleague,

We are pleased to announce an important update regarding the 2nd IEEE International Conference on Application of Information Technologies in Engineering, Management and Science (ICAI-TEMS 2026).

📢 Deadline Extension

To provide additional opportunities for researchers, academics, and industry professionals, the Abstract Submission Deadline has been extended to June 14, 2026.

ICAI-TEMS 2026 welcomes original research contributions on concepts, theories, and applications of cutting-edge information technologies across engineering, management, and science, with a strong focus on bridging theoretical advances and real-world challenges.

Topics of the general track cover (but are not limited to):

Information Technology for Sustainability

Strategic Application of Emerging Technologies

Digital Ecosystems for Circular Economy

High-Performance Computing Architecture

Emerging IoT and Distributed System Architectures

Sustainable Manufacturing Operations

Digital Geoscience and Geo-engineering Applications

Energy Management Systems

Digital Transformation Strategies and Frameworks in Engineering and Science

Artificial Intelligence, Cognitive Computing, and Data-Driven Decision Systems

Cyber-Physical Systems, Digital Twins, and Intelligent Automation

Blockchain and Secure Distributed Architectures for Industrial Applications

AI-Based Risk Assessment for Infrastructure Resilience Management

Digital Traceability and Sustainable Supply Chain Optimization

Human–Machine Interaction and Human-Centric Socio-Technical Systems

Data Governance and Strategic Information Management

Regulatory, Ethical, and Inclusive Dimensions of Digital Innovation

Performance and Decision Support Systems for Complex Infrastructures

ICT for Smart Healthcare Systems and Digital Hospitals

Healthcare Operations Management and Digital Process Optimization

Updated Important Dates

• Abstract Submission (Extended): June 14, 2026
• Full Paper Submission: August 1, 2026
• Notification of Acceptance: September 1, 2026
• Camera-Ready Submission: September 15, 2026
• Conference Dates: November 10–13, 2026

All the accepted papers will be indexed in citation databases like IEEE Xplore Digital Library and Scopus. Submission guidelines, conference tracks, and additional details for authors are available at link

OTHER INFO
Keynote speakers, companies workshop and other informations about the conference program Discover More

Conference General Chairs:

Prof. Mario G.C.A. Cimino, General Chair (University of Pisa, Italy)

Prof. Sudip Chakraborty, General Chair (University of Calabria, Italy)

Conference Technical Program Chairs:

Prof. Antonio Luca Alfeo, Technical Program Chair (eCampus University, Italy)

Dr Esteban Garzòn, 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@gmail.com.

We look forward to your contribution.

Best regards,
Pietro Calabrese,
Publicity Chair, IEEE ICAI-TEMS 2026

Connectionists: Call for Participation: AI Cutting-Edge Trends Summer Symposium and School (AIDA AICET 2026), 24-28 August 2026

2026-06-05T00:34:00.788-07:00

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
Péter 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

Connectionists: ACM ICMI 2026 Call for Late-Breaking Results (LBR)

2026-06-05T00:27:44.596-07:00

ICMI 2026 CALL FOR LATE-BREAKING RESULTS (LBR) =============================================== 5-9 October 2026, Napoli - Italy https://icmi.acm.org/2026/ =============================================== Dear colleagues, Please find below the Call for Papers for the Late-Breaking Results (LBR) track of the 28th ACM International Conference on Multimodal Interaction (ICMI 2026). Based on the success of the Late-Breaking Results (LBR) track, ICMI 2026 will continue soliciting submissions for this special venue. The goal of this venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues. * Online Submission https://new.precisionconference.com/submissions/icmi26a * Highlights - Submission deadline: June 21st, 2026 - Notifications: July 15th, 2026 - Camera-ready deadline: August 2nd, 2026 - Conference Dates: October 6–8, 2026 - Submission format: Anonymized short paper (four-page paper in a double-column format, not including references), following the submission guidelines - Selection process: Peer-Reviewed - Presentation format: Participation in the conference poster session - Proceedings: Included in the Adjunct Proceedings (Companion Volume) and ACM Digital Library - LBR Co-chairs: Daniel Riccio and Hung-Hsuan Huang * What are Late-Breaking Results? Late-Breaking Results (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting-edge or emerging work that is still in exploratory stages, smaller-scale studies, or, in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track. * Why submit to the Late-Breaking Results track at ICMI? Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting, thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field. Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are significant revisions, as per the ACM and ACM SIGCHI policies. LBR papers will be published as ACM extended abstracts in the Adjunct Proceedings. Under ACM Open, extended abstract article types are not subject to Article Processing Charges (APCs). * Submission Guidelines Extended Abstract An anonymized short paper, four-page paper in a double-column ACM conference format, using LaTeX or Word (excluding references). Papers should follow the same guidelines as papers published in the proceedings of the ACM ICMI conference. The paper should be submitted in PDF format and through the ICMI submission system in the "Late-Breaking Results" track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version, and no deadline extensions can be granted. Anonymization Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR relative to prior work, authors should not remove or anonymize references to their own prior work. Instead, authors should refer to their own prior work in the third person during submission. After acceptance, such references can be changed to first person if desired. * Review Process LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work, which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors, including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it fits the LBR track, for example, in-progress results. More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Authors should clearly justify how the proposed ideas can bring measurable breakthroughs compared to the state of the art. * Attendance Similar rules for registration and attendance will be applied for authors of LBR papers as for regular papers. Further information will be made available later on the conference website. * Website For updates, please visit: https://icmi.acm.org/2026/late-breaking-results/ * Contact For further questions, contact the LBR co-chairs, Daniel Riccio and Hung-Hsuan Huang, at: icmi2026-latebreaking-chairs@acm.org We would be grateful if you could circulate this call among colleagues and interested researchers. Best regards, ICMI 2026 LBR Chairs Daniel Riccio and Hung-Hsuan Huang

Connectionists: [Call for Participants] ChaLearn UDIVA-HHOI Challenge @ ECCV 2026 - Still Time to Participate!

2026-06-04T12:20:25.392-07:00

[Apologies for cross-posting]

Dear colleagues,

There is still plenty of time to participate in the ChaLearn UDIVA-HHOI Challenge @ ECCV 2026, organized within the CONTEXTUS Workshop at ECCV 2026.

Submission deadline: July 12th, 2026

The challenge focuses on advancing research in context-aware human behavior understanding and socially grounded multimodal intelligence, encouraging methods that go beyond isolated action recognition toward understanding how people collaborate, coordinate, anticipate, and influence one another in real-world environments.

Participants will work with the newly released UDIVA-HHOI dataset, a rich multimodal corpus featuring:

non-scripted dyadic collaborative interactions,
synchronized audio, video, and transcripts,
one exocentric and two egocentric views,
contextual metadata and social interaction cues,
procedural task information,
annotations of verbal and non-verbal human-human-object interaction events,
goals, intentions, and causal relationships.

The challenge includes 5 tracks:

Track 1: Multimodal Exocentric Event Recognition
Track 2: Multimodal Egocentric Event Recognition
Track 3: Multimodal Exocentric Event Anticipation
Track 4: Multimodal Egocentric Event Anticipation
Track 5: Multimodal Exocentric Causal Event Grounding

The top-ranked team in each track will receive a $1,000 USD award, along with certificates and the opportunity to present and publish their work at the ECCV 2026 CONTEXTUS Workshop.

Data, starting kit, track descriptions, and metrics are already available, and baseline models will be released soon.

We strongly encourage participation from researchers and students working on:

multimodal learning,
video understanding,
egocentric vision,
embodied AI,
social signal processing,
event anticipation,
causal reasoning,
human behavior understanding.

We look forward to seeing new advances toward AI systems capable of understanding human interactions, intentions, and collaborative behavior in complex real-world scenarios.

Challenge website: https://lap.chalearn.eu/public/udiva-hhoi-challenge-eccv26

Workshop website: https://lap.chalearn.eu/public/ECCV26-CONTEXTUS

Supported by ChaLearn, SurfingTech, and Google.

Organizers:
Cristina Palmero (King’s College London)
Sergio Escalera (Universitat de Barcelona & Computer Vision Center)
Albert Clapés (Universitat de Barcelona)
Xavier Baró (Universitat de Barcelona)
Daniele Berardini (Istituto Italiano di Tecnologia)
Hugo Jair Escalante (The University of Texas at El Paso & INAOE)
Vittorio Murino (Istituto Italiano di Tecnologia & University of Verona)

Challenge chairs:
Jeanfed Ramírez Lima, Luis J. Arellano

Advisory board:
Isabelle Guyon, Jeffrey Cohn

Connectionists: Postdoctoral Position – EEG, AI & Neonatal Brain Development

2026-06-04T06:00:21.138-07:00

Dear list members, Please kindly share the following announce for a postdoctoral position with potentially interested candidates. Thanks very much for your help. Kind wishes, Sahar -- Sahar Moghimi PhD, HDR Professor GRAMFC Lab, InsermU1105 Université de Picardie Jules Verne mail: saharDOTmoghimiAROBASEu-picardie.fr Postdoctoral Position – EEG, AI & Neonatal Brain Development We are recruiting a postdoctoral researcher to investigate early brain development in preterm infants using EEG and artificial intelligence at Picardie Jules Verne University, Amiens, France. The project aims to develop AI-based models of cerebral maturation during the second and third trimesters of gestation, using one of the world’s largest neonatal EEG datasets (>15,000 recordings collected at Amiens University Hospital, France). The project combines: • Large-scale EEG analysis and phenotyping • Machine learning / AI modeling of developmental trajectories The goal is to build interpretable, scalable tools for evaluation of brain maturation in preterm neonates. The project is conducted under the co-supervision of Prof. Sahar Moghimi (GRAMFC- Inserm UMR1105) and Prof. Florence Levé (MIS, UPJV), within GRAMFC (Inserm UMR1105, Amiens). Profile / expertise PhD in neuroscience, biomedical engineering, data science, or related field Strong experience in EEG analysis and/or time-series analysis Strong experience in machine learning and AI models High skills in Python Interest in neurodevelopment Experience with large datasets is highly desirable. Submission deadline: June 15th, 2026 Start date: September 2026 Location: Amiens, France Duration: 12 months Salary: According to University standards (depending on experience) Applications including a CV with up-to-date list of publications, a motivation letter, and the contact information of two referees, should be send to sahar.moghimi@u-picardie.fr and florence.leve@u-picardie.fr

Connectionists: Bath Summer School in Machine Learning, 5–7 August 2026

2026-06-04T06:00:09.591-07:00

Dear colleagues,

We are pleased to announce the 1st Bath Summer School in Machine Learning, hosted by the Centre for Artificial Intelligence at the University of Bath.

The school offers three days of tutorial-style lectures spanning core and emerging topics in machine learning, designed to help graduate students rapidly build knowledge outside their direct research focus — in a friendly, inclusive environment.

Dates: 5–7 August 2026
Location: University of Bath

This year's themes:

ODEs & SDEs in Machine Learning
Probabilistic & Bayesian Methods
Self-Supervised Learning
World Models

A full programme can be found here.

Faculty

Simon Prince, University of Bath
Neill Campbell, University College London
Ivor Simpson, University of Sussex
Oisin Mac Aodha, University of Edinburgh
Deblina Bhattacharjee, University of Bath
Gabriel Brostow, University College London (Invited Talk)

Who can apply

The school is open to PhD students, postdocs, and research staff at any UK or EU university. A solid foundational knowledge of machine learning is assumed. Participants must be available for the full three-day programme.

Fees

The school has been deliberately priced to be as accessible as possible.

Registration only, £150
Registration + 3 nights in University halls , £320 (limited places)

Tea and coffee are included throughout. Other meals at your own expense. Additional accommodation options are available in Bath and nearby Bristol.

Register now

Full programme details and speaker information: https://www.bathmlsummerschool.org

Connectionists: CFP: WAFL 2026 @ ECML-PKDD - Deadline Extended

2026-06-04T05:54:17.550-07:00

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WAFL 2026 – Deadline Extended

4th Workshop on Advancements in Federated Learning (WAFL)

Towards Trustworthy Federated Learning

https://wafl2026.di.unito.it/

Co-located with ECML-PKDD 2026, Naples, Italy

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Dear colleagues,

We are pleased to announce that the submission deadline for the 4th Workshop on Advancements in Federated Learning (WAFL 2026) has been extended to June 12th, 2026.

We warmly invite you to submit your work and kindly encourage you to share this call with colleagues and interested researchers.

IMPORTANT DATES

• Submission deadline: June 12th, 2026

• Author notification: July 1st, 2026

• Camera-ready: July 10th, 2026

• Workshop: September 11th, 2026

ABOUT THE WORKSHOP

As machine learning systems become increasingly embedded in society, concerns around privacy, fairness, robustness, and regulatory compliance continue to grow—especially under frameworks such as the GDPR and the European AI Act (2024).

Federated Learning (FL) enables collaborative model training without sharing raw data, but also raises challenges such as adversarial robustness, bias from heterogeneous data, and limited transparency.

WAFL 2026 focuses on Federated Learning, bringing together contributions addressing fairness, privacy, robustness, accountability in decentralized AI and with a major focus on trustworthiness of federated learning systems.

TOPICS OF INTEREST

• Algorithmic and theoretical advances in FL

• FL under non-IID data distributions

• Privacy and security (e.g., differential privacy, adversarial/poisoning attacks, secure aggregation)

• Fairness, interpretability, and explainability in FL

• Decentralized and peer-to-peer FL

• Transparency and accountability

• Regulatory compliance (GDPR, EU AI Act)

• Real-world applications (e.g., healthcare, finance, edge devices)

• Tools and benchmarks for FL

SPECIAL ISSUE

Selected papers will be invited to a special issue on

“Trustworthy and Responsible Federated Learning” in Discover Artificial Intelligence (Springer): https://link.springer.com/collections/fdcjaidaif

SUBMISSION DETAILS

• Long papers: 12 pages + references + supplementary

• Short papers: 6 pages + references + supplementary

• Non-archival submissions allowed

Submissions follow ECML-PKDD guidelines and will undergo double-blind review.

Submission: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FECMLPKDDWT2026%2FSubmission%2FIndex (select WAFL track)

Accepted papers will be presented at the workshop and included (optional) in Springer CCIS proceedings.

For more information: https://wafl2026.di.unito.it/

Contact: franca.roccoditorrepadula@unina mirko.polato@unito.it roberto.esposito@unito.it mfisichella@l3s.de

Best regards,

WAFL 2026 Organizing Committee