elias-ai

ELIAS @ EurIPS 2025 — Rethinking AI Workshop & Startup Village
2025-12-03 08:00 - 2025-12-06 17:00 (Europe/Rome)
ELIAS @ EurIPS 2025 — Workshop and Start-Up Village Participation
The ELIAS Project is excited to announce its participation at EurIPS 2025, Europe’s leading conference on machine learning and artificial intelligence. From 3–5 December, ELIAS and the ELIAS Alliance will have a dedicated booth at the Start-Up Village, where the team will present project activities, introduce the ELIAS Startup Opportunities Platform, and connect with researchers, entrepreneurs, and industry partners.
ELIAS will also support the organisation of the upcoming “Rethinking AI — Efficiency, Frugality, and Sustainability” workshop, on 6 December. This participation offers a valuable opportunity for the AI community to discover ELIAS’s efforts toward fostering responsible, sustainable, and impactful AI innovation across Europe.

Workshop: Rethinking AI — Efficiency, Frugality, and Sustainability
As Artificial Intelligence systems grow in complexity and scale, so do their environmental and societal impacts. This workshop addresses the urgent need to rethink AI through the lens of sustainability, with a particular focus on ecological and environmental considerations. Presentations and discussions will revolve around two key pillars:
1. Sustainability in AI — Reducing the ecological footprint of machine learning research and deployment.
2. AI for Sustainability — highlighting applications to global environmental challenges
With an emphasis on introspection of current practices, the workshop aims to foster responsible innovation, shared metrics, and the design of methods that are efficient, accessible, and viable within constrained resources.
This participation offers a valuable opportunity for the AI community to discover ELIAS’s ongoing efforts to promote responsible, sustainable, and impactful AI innovation across Europe.

Important Dates

Submission Deadline: October 17, 2025 (23:59 AoE)

Notification of Acceptance/Rejection: October 31, 2025

Workshop Date: December 6, 2025

Submissions are now closed.

Call for Voluntary Reviewers
The workshop is seeking voluntary reviewers with relevant expertise to assist in evaluating submissions. Your contribution will ensure the quality and impact of the work presented.
Sign up here: Reviewer Form

Reviewers must have an OpenReview account to participate.

Organisers

Quentin Bouniot (TUM / Helmholtz Munich)

Florence d’Alché-Buc (Télécom Paris)

Enzo Tartaglione (Télécom Paris)

Zeynep Akata (TUM / Helmholtz Munich)

More information

Have Questions?

For further information or queries, please contact:📧rethinking-ai-workshop@googlegroups.com

About EurIPS
EurIPS is Europe’s premier machine learning and AI conference, endorsed by NeurIPS, bringing together researchers, practitioners, startups, and policymakers to advance AI research and applications across Europe. The conference features workshops, tutorials, paper presentations, poster sessions, and a Start-Up Village, making it a key platform for innovation, collaboration, and community building in the European AI ecosystem.

Event Details
Event: EurIPS 2025
ELIAS Participation: Start-Up Village Booth
Workshop: Rethinking AI — Efficiency, Frugality, and Sustainability

Dates
3–5 December 2025: Start-Up Village;
6 December 2025: Workshop Day

Event Website
Visit EurIPS 2025 Website

Venue
Bella Center Copenhagen
Copenhagen, Denmark

© 2025 EurIPS 2025 & ELIAS Project. All rights reserved.

Sustainable and Trustworthy Edge AI for Robotics - Workshop at HiPEAC 2026
2026-01-28 08:00 - 17:00 | ICE Kraków, Marii Konopnickiej 17, street, Kraków, Poland
Edge AI and robotics are increasingly integrated in real-world systems that demand low-latency inference, efficient computation, and robust autonomy. However, deploying AI at the edge brings unique challenges, including limited computational resources, evolving regulatory constraints, and the need for trustworthy, safe, and explainable models

As Europe advances toward sovereign, human-centric AI systems, new approaches are required to ensure that intelligent agents operating at the edge remain reliable, sustainable, and aligned with ethical and legal frameworks such as the AI Act.
This workshop brings together researchers from Edge AI, embedded learning, and robotics to explore the intersection of technical design and responsible deployment. It focuses on architectures and methods that enable privacy-preserving, bias-aware, and energy-efficient AI at the edge, while ensuring adaptability and safety in robotic applications.
The event is jointly organized by four EU-funded Networks of Excellence (NoEs) – dAIEDGE, euROBIN, ELIAS, and ENFIELD – and aims to foster collaboration across these initiatives and the broader HiPEAC community.
More information can also be found here.

Workshop Structure

Invited Keynote Talks

Paper Presentations: peer-reviewed contribution from academia and industry

Panel Discussion: addressing challenges and future directions in Edge AI for Robotics

Programme Coming Soon

Important Dates

Paper submission deadline
December 15, 2025

Notification to authors
December 23, 2025

Workshop date
January 28, 2026

Call for Papers (CfP)

We invite submissions on (but not limited to) the following topics:

Architectures and Frameworks for Edge AI

Distributed and hierarchical AI architectures for robotic systems
Edge–cloud continuum design and orchestration
Lightweight neural networks and model compression for embedded devices
Hardware-aware AI acceleration (FPGA, RISC-V, neuromorphic, etc.)
Real-time inference and scheduling for autonomous robots

Trustworthy and Explainable Edge Intelligence

Explainable and interpretable AI for robotic decision-making
Uncertainty estimation and safety assurance for edge perception and control
Robustness against adversarial conditions and sensor noise
Verification, validation, and certification of AI components at the edge
Compliance with EU regulatory frameworks (e.g., AI Act, Ethics Guidelines)

Sustainable and Energy-Efficient AI

Low-power AI computation and green optimization techniques
Energy-aware learning and adaptive workloads for embedded systems
Sustainable lifecycle management of AI models and hardware
Metrics and benchmarks for energy efficiency in edge robotics

More information

Learning and Adaptation at the Edge

Continual, federated, and transfer learning for robotics
On-device and online learning strategies
Adaptive multi-modal perception for dynamic environments
Collaborative intelligence among distributed robotic agents

Applications and Use Cases

Edge-enabled robotics for manufacturing, logistics, healthcare, and agriculture
Human–robot interaction and shared autonomy
Swarm and multi-robot coordination using distributed intelligence
Trustworthy AI for inspection, maintenance, and environmental monitoring

Cross-Cutting Themes

Open datasets, benchmarks, and reproducible research for edge robotics
Security, privacy, and data governance in edge–robotic ecosystems
Integration of large or foundation models at the edge
Socio-technical, ethical, and legal dimensions of autonomous systems

Submissions

Papers will be reviewed by the workshop’s technical program committee according to criteria regarding a submission’s quality, relevance to the workshop’s topics, and, foremost, its potential to spark discussions about directions, insights, and solutions on the topics mentioned above. Research papers, case studies, position papers and work-in-progress are all welcome. Papers should be in double column IEEE format of between 4 and 8 pages including references. Papers should be uploaded as PDF and not anonymized. At least one of the authors must register at the conference and attend the workshop to present the paper if it is accepted. Please note that there will be no proceedings. Authors will retain all rights to submit the work elsewhere. With the explicit permission of the authors, accepted papers will be posted on the workshop website prior to the event.

Click to access the submission site

Organisers
Cecilia Zanazzo, Università di Trento (UNITN); Georgios Kavallieratos, Norwegian University of Science and Technology (NTNU); Lydia Belkadi, KU Leuven (KUL); Mohamed Selim, German Research Center for Artificial Intelligence (DFKI); Rebecca Schedl-Warpup, German Aerospace Center (DLR).

About HiPEAC 2026
The HiPEAC conference is the premier European forum for experts in computer architecture, programming models, compilers and operating systems for general-purpose, embedded and cyber-physical systems. Areas of focus and integration include safety-critical dependencies, cybersecurity, energy efficiency and machine learning. The HiPEAC 2026 conference will take place in Kraków, Poland. Associated workshops, tutorials, special sessions, several large poster session and an industrial exhibition will run in parallel with the conference.

Event Details
Event: HiPEAC 2026
Workshop: Sustainable and Trustworthy Edge AI for Robotics
Organisers: dAIEDGE, euROBIN, ELIAS, ENFIELD

Dates
Paper Submission: 15 December 2025
Notification: 23 December 2025
Workshop Day: 28 January 2026

Event Website
Visit HiPEAC 2026 Website

Venue
ICE Kraków
Marii Konopnickiej 17, Kraków, Poland

© 2025–2026 HiPEAC 2026 & ELIAS Project. All rights reserved.

AI-preneurship Day
2026-03-05 12:00 - 20:00 | LAB 42, Amsterdam Science Park, Amsterdam, Netherlands
Are you a BSc/MSc student, PhD candidate, or Postdoc working in AI—and curious about entrepreneurship? Ever wondered whether your research could grow into a real business?
On Thursday, 5 March 2026, we’re hosting AI‑preneurship Day at LAB42, University of Amsterdam. Starting at 12:00, this free, one‑day event brings together AI students and early‑career researchers who want to explore how academic work can translate into real‑world impact. Lunch and drinks will be provided so you can focus fully on learning, connecting, and exploring new ideas.
Whether you’re just beginning to think entrepreneurially or already developing an idea, AI‑preneurship Day will give you the inspiration, tools, and confidence to take the next step toward your own academic spin‑off.
Throughout the afternoon, you’ll have the chance to test and refine potential AI business ideas, explore realistic investment and funding opportunities, learn how to take the lead in building your own academic spin‑off, and gain practical insights from experts with hands‑on experience.
What you’ll gain

Test and refine potential AI business ideas
Explore realistic investment and funding opportunities
Learn how to take the lead in building your own academic spin‑off
Gain practical insights from experts with hands‑on experience

Bonus: The evening session includes an opportunity to pitch your idea and receive 1‑on‑1 feedback from experienced mentors—perfect for anyone ready to take their first entrepreneurial step.

Agenda

12:00 – 13:00

Walk-in & lunch

13:00 – 13:10

Opening

13:10 – 13:40

Keynote speaker

Jorn Eiting-van Liempt,
ROM InWest
Insights from years of entrepreneurial experience across diverse roles.

13:40 – 14:15

Keynote speaker

Ross Gordon,
Amsterdam Academic Ventures
Building strategic roadmaps and overcoming fundraising challenges for early-stage spin-outs.

14:15 – 14:45

Break

14:45 – 15:05

Intro to academic spin-offs & support

Paul Blank,
NWO – Dutch Research Council
What it takes to launch an academic spin-off, including available subsidies, grants, and support structures.

15:05 – 15:25

Valorisation and impact

Erik Boer,
Roeterseiland Impact
Turning research into impactful products.

15:25 – 15:45

Investment opportunities

Thomas Hannes,
LUMO Labs
Exploring feasible investment opportunities for AI ventures.

15:45 – 16:05

In-house start-up talk

Harro Stokman – Kepler Vision

16:05 – 16:25

In-house start-up talk

TBD

16:25 – 18:00

Networking & 1-on-1 pitches

Register now!

⚠️ Limited spots available

The AI-preneurship Day is organised as a collaborative initiative between ELLIS Unit Amsterdam, ICAI – Innovation Center for Artificial Intelligence, TTT-AI | Thematic Technology Transfer Artificial Intelligence, and ELIAS Node Amsterdam, part of the ELIAS Alliance.

Event Details

Event:
AI-preneurship Day

Date:
Thursday, 5 March 2026

Time:
Starting at 12:00

Organised by:

ELLIS Unit Amsterdam,
ICAI – Innovation Center for Artificial Intelligence,
TTT-AI,
and
ELIAS Node Amsterdam

Register for the Event

Venue

LAB42, University of Amsterdam
Amsterdam Science Park, Netherlands

© All rights reserved.

Theme Development Workshop on Trustworthy AI
2026-03-06 09:00 - 12:00 | ENS – Department of Biology (IBENS), 46 Rue d'Ulm, Paris, 75005, France
Date & Time: March 6th, 2026, 09:00 – 12:00
Location: ENS – Department of Biology (IBENS), Paris, France (Hybrid Event)
Overview:
The deployment of Artificial Intelligence in critical infrastructure and daily life necessitates a shift beyond mere performance, toward systems that are inherently reliable, ethically aligned, and environmentally conscious. As AI moves from the lab to real-world applications in sectors like healthcare, mobility, and energy, ensuring the “Trustworthiness” of these systems is paramount to their societal acceptance and long-term viability.
The ELIAS, ELLIOT, and ENFIELD Theme Development Workshop on Trustworthy AI brings together leading researchers and industry experts to address the multidimensional challenges of modern AI governance. The workshop is structured into three thematic pillars:

Frugality: Exploring resource-efficient AI and “Green AI” techniques to minimize the computational and environmental footprint of large-scale models.
Fairness: Addressing algorithmic bias, transparency, and socio-technical alignment to ensure AI systems promote equity and prevent discrimination.
Trust: Enhancing the robustness, security, and explainability of AI to build systems that are resilient to adversarial threats and reliable in high-stakes decision-making.

This hybrid 3-hour event will feature 3 sessions, each including 20-min keynote presentations from renowned experts in the field, followed by interactive discussions and a Q&A segment. Light lunch will be served after the end of the workshop.

Registration Deadline
In-person Attendance → February 20th, 2026 – 18:00 CET
Online Attendance → March 4th, 2026 – 18:00 CET

Register here

This workshop is jointly organised by the ELIAS, ELLIOT & ENFIELD projects.

ELLIOT – European Large Open Multi-Modal Foundation Models For Robust Generalization On Arbitrary Data Streams (GA No. 101214398 ) aims to develop the next generation of open Multimodal Generalist Foundation Models (MGFMs): AI systems designed to learn general knowledge and patterns from massive amounts of data of various types — from videos, images, and text to sensor signals, industrial time series, and satellite feeds — and efficiently transfer the generic knowledge learned in generalist manner to a wide variety of downstream tasks. Unlike current foundation models that face significant challenges in terms of generalisation capabilities and support for multimodal data, ELLIOT’s models will be capable of robust generalisation across conditions not seen during the training, coping well with dynamic, noisy, and temporally-evolving multimodal data streams. Real and synthetic data will be leveraged for training MGFMs and for further adapting them for specific downstream tasks in domains like media, earth observation, robot perception, mobility, computer engineering and workflow automation. European HPC infrastructure is directly included in the consortium to ensure the availability of the necessary computing resources. www.elliot-ai.eu

ENFIELD – European Lighthouse to Manifest Trustworthy and Green AI (GA No. 101120657) aims to advance adaptive, green, human-centric and trustworthy AI by establishing a European Centre of Excellence. With a consortium of 30 partners from 18 countries—covering academia, industry, SMEs and the public sector—the project targets key domains such as healthcare, energy, manufacturing and space. ENFIELD will deliver over 75 AI solutions, around 180 high-impact publications, and strategic roadmaps, supported by extensive outreach to foster responsible AI adoption across Europe. www.enfield-project.eu

By bridging the expertise of the ELIAS, ELLIOT, and ENFIELD networks, this workshop aims to highlight technical breakthroughs, explore regulatory implications, and present practical application examples that define the European standard for Trustworthy AI.

Speakers

Victor Charpenay
(ENFIELD, Associate Professor, École des Mines de Saint-Étienne)
Life-Cycle Analysis of AI Systems - A Review

Enzo Tartaglione
(ELIAS, Full Professor, Télécom Paris)
Beyond Traditional Pruning: Layer Collapse for Efficient Deep Learning

Ruta Binkyte-Sadauskiene
(ELLIOT, Researcher, CISPA Helmholtz Center for Information Security)
From Prediction to Interaction: Rethinking Fairness for LLMs and Agentic AI

Charlotte Laclau
(ELIAS, Associate Professor, Télécom Paris)
There is No Universal Fairness

Sebastian Heil
(ENFIELD, Senior Researcher, Chemnitz University of Technology)
Human Perception of AI Trustworthiness

Georgios Spathoulas
(ENFIELD, Associate Professor, Norwegian University of Science and Technology)
Integrity Challenge of AIaaS

Agenda
Please note that the agenda is subject to slight changes and will be updated accordingly.

Workshop Agenda

Time
Duration
Session Name

09:00 – 09:10
5 mins

Welcome & Introductions

Opening remarks
Introduction to the workshop’s theme
Overview of the sessions and objectives

Nicu Sebe (ELIAS, Full Professor, University of Trento), Florence d'Alché (ELIAS, Institut Polytechnique de Paris)

09:10 – 10:00
Session 1: Frugality

20 mins

Keynote: Life-Cycle Analysis of AI Systems - A Review
Victor Charpenay
(ENFIELD, Associate Professor, École des Mines de Saint-Étienne)

20 mins

Keynote: Beyond Traditional Pruning: Layer Collapse for Efficient Deep Learning
Enzo Tartaglione (ELIAS, Full Pofessor, Télécom Paris)

10 mins
Q&A and Discussion

10:00 – 10:50
Session 2: Fairness

20 mins

Keynote: From Prediction to Interaction: Rethinking Fairness for LLMs and Agentic AI
Ruta Binkyte-Sadauskiene (ELLIOT, Researcher, CISPA Helmholtz Center for Information Security)

20 mins

Keynote: There is No Universal Fairness: Lessons from Text Classification to Graph Prediction
Charlotte Laclau (ELIAS, Associate Professor, Télécom Paris)

10 mins
Q&A and Discussion

10:50 – 11:05
15 mins
BREAK

11:05 – 11:55
Session 3: Trust

20 mins

Keynote: Human perception of AI trustworthiness
Sebastian Heil (ENFIELD, Senior Researcher, Chemnitz University of Technology)

20 mins

Keynote: The integrity challenge of the AIaaS model
Georgios Spathoulas (ENFIELD, Associate Professor, Norwegian University of Science and Technology)

10 mins
Q&A and Discussion

11:55 – 12:00
5 mins

Conclusion & Wrap-up

Summary of key takeaways
Final remarks and next steps

Nicu Sebe (ELIAS, Full Professor, University of Trento), Florence d'Alché (ELIAS, Institut Polytechnique de Paris)

Please leave this field emptyRegistration & Participation
Participation is free, but registration is required. Once registered, participants will receive further event details.

Registration Deadline
In-person Attendance → February 20th, 2026 – 18:00 CET
Online Attendance → March 4th, 2026 – 18:00 CET
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Details
Date: Thursday, March 6th, 2026
Time: 09:00 – 12:00 CET
Format: Hybrid Event
Duration: 3 hours (3 sessions with Q&A)
Registration Deadlines:
In-person → February 20th, 2026 – 18:00 CET
Online → March 4th, 2026 – 18:00 CET

Venue
Location:
ENS – Department of Biology (IBENS)
46 Rue d’Ulm
75005 Paris, France

Winter School 2026: AI for Earth System, Hazards & Climate Extremes
2026-03-16 08:00 - 2026-03-20 17:00 | NTUA – Patission Campus map, Athens, Greece
Hosted by National Technical University of Athens (NTUA) and co-organised by ELLIS Unit Jena, the the MeDiTwin and AI4PEX projects, the ELLIS Winter School 2026 brings together researchers, practitioners, and students to explore how artificial intelligence can advance Earth system and climate science.
With growing urgency to understand and mitigate floods, wildfires, droughts, and other extreme events, this school aims to foster interdisciplinary collaboration and develop robust, interpretable AI models for monitoring, forecasting, and impact assessment.
Through lectures, tutorials, and interactive discussions, participants will gain hands-on experience, exchange knowledge, and contribute to next-generation AI-driven environmental solutions.



Who Should Attend
This winter school is designed for:

Master’s and PhD students
Postdoctoral researchers
Early career professionals

If you are passionate about AI, data analytics, and environmental sciences—whether from academia, research, or industry—this program is for you! Eligibility details (PDF)



Programme Highlights

Apply AI to Climate Extremes: Use AI tools to model, monitor, and predict extreme weather and climate events in real-world scenarios.
Understand and Explain Models: Learn to make AI models transparent, physics-informed, and causally grounded to improve trust and understanding.
Assess and Communicate Results: Develop skills to interpret results and communicate findings to scientists, decision-makers, stakeholders, and the public.
Collaborate and Exchange Ideas: Work with experts in AI and climate science and connect with researchers from diverse backgrounds.

The full programme will be announced soon. Check here for updates



Registration
Deadline: January 2, 2026, 23:59 EET
Registration Requirements:

CV (PDF, max 2 pages)
Motivation statement (max 1200 characters)
Impact statement (max 1200 characters)

Register Now

Check out the official event page

Register now

Event Details

Event:
ELLIS Winter School 2026: AI for Earth System, Hazards & Climate Extremes

Start Date:
March 16, 2026

End Date:
March 20, 2026

Location:
NTUA – Patission Campus

Organisers:
NTUA, ELLIS Unit Jena, MeDiTwin & AI4PEX Projects

Format:
In-person, hands-on

Participant Fee:
350 €

Register for the Event

Venue
National Technical University of Athens – Patission Campus
Athens, Greece

© All rights reserved. ELIAS

Winter School 2026: Foundation Models (FoMo)
2026-03-24 08:00 - 2026-03-27 17:00
The Winter School aims to highlight groundbreaking innovations in foundation models across a range of subfields, offering participants a deep understanding of how Europe is shaping its own research priorities in this rapidly evolving area.
Over four immersive days, participants will engage in cutting-edge lectures delivered by leading experts from academia and industry, explore collaborative research activities, and connect with like-minded peers who share a passion for the future of foundation models.
The programme features three lectures per day, a poster session, and interactive sessions designed to spark interdisciplinary exchange and inspire new research ideas. In addition to the academic components, social activities will provide space for informal discussion, networking, and collaboration in a stimulating and inclusive environment
More speakers will be announced soon. Confirmed speakers to date include Frank Hutter (ELLIS Fellow, ELLIS Institute Tübingen, University of Freiburg), Elisa Ricci (ELLIS Fellow, University of Trento & Fondazione Bruno Kessler), and Ekaterina Shutova (ELLIS Scholar, University of Amsterdam).

Application
The 2024 FoMo Winter School brought together 150 participants representing 90 institutions and 40 nationalities. In 2025, the event grew even further, hosting 220 participants from 100 institutions and 43 nationalities.
While preference will be given to ELLIS PhD candidates, applications are warmly welcomed from qualified individuals worldwide.
Please submit your application by 14 December 2025 at 23:59 CET. Conditional results will be shared by January 2026, and your spot will be secured once the registration fee is paid after acceptance.
The participation fee for the winter school are, as follows:

MSc, PhD students and Postdoc researchers: €350
Industry/ startup/ other participants: €550

The fees cover logistic costs, coffee breaks, lunch, and social activities (travel and accommodation are self-organized). The fee can be waived for applicants from underrepresented backgrounds who require financial assistance (see application form). Please note that registration fees can be canceled for a full refund only two weeks after the payment.
You can read the overview of the first ELLIS Winter School on Foundation Models in 2025 via the following link, and in 2024 here.

Register now!

Previous Editions:
You can read the overview of the first ELLIS Winter School on Foundation Models in 2025 via the following link, and in 2024 here.

The 2026 FoMo School is hosted and funded by the ELLIS unit Amsterdam, with the support of ELIAS – European Lighthouse of AI for Sustainability and ELLIOT – European Large Open Multi-Modal Foundation Models For Robust Generalisation On Arbitrary Data Streams Projects (funded by the European Union’s Horizon Europe research and innovation programme).

Event Details

Event:
Winter School on Foundation Models (FoMo) 2026

Start Date:
March 24, 2026 at 09:00

End Date:
March 27, 2026 at 17:00

Organisers:
Cees Snoek, Yuki Asano, Adela Pranindiati

Register for the Event

Venue
Tolhuistuin
Amsterdam, Netherlands

© All rights reserved.
