Description
Tools, infrastructures, datasets, and community initiatives enabling AI research in physics.
Examples include:
- Research software
- AI frameworks and workflows
- HPC and distributed computing
- FAIR data and open science
- Benchmark datasets and challenges
- Community initiatives and training
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Stéphane Ilic (IDRIS)17/11/2026 09:00AI Ecosystem: Infrastructure, Open Science and CommunityInvited talk
Jean Zay, hosted at IDRIS, provides large-scale computing resources for AI research. This talk will offer a practical introduction for the IN2P3 and CEA-IRFU communities, focusing on the resources available and the steps required to access and use them effectively.
I will present the computing resources and software environment, together with an outlook on future capabilities. The...
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François Portet (IMAG), Maxime Calka (UGA)17/11/2026 09:30Invited talk
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Alexandre Boucaud (APC / IN2P3)17/11/2026 10:00AI Ecosystem: Infrastructure, Open Science and CommunityStandard talks
Nowadays, AI agents that can write and run scientific code on their own. From coding assistants such as Claude Code, Cursor and Codex to integrated research systems such as Kosmos and Gemini Co-Scientist or Claude Science, they all are rapidly changing how analyses are built in physics. This speed also makes an existing problem worse. Methodological choices, assumptions and scientific...
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Alexandre Boucaud (APC / IN2P3)17/11/2026 10:20AI Ecosystem: Infrastructure, Open Science and CommunityLightning talks
Large language models are quickly becoming everyday tools for physicists and software developers, whether for coding help, documentation, data exploration or agentic workflows. Yet access is uneven, and most usage goes through shadow IT with commercial frontier APIs, which raises concerns about cost, data sovereignty and environmental footprint. Many research needs, however, do not require a...
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Dr Sophie CERF (INRIA)17/11/2026 14:00Invited talk
The adoption of AI is accelerating and its ecological impacts are soaring, despite tremendous improvements of technologies efficiency. Indeed, such improvements have historically consistently led to increased usage and thus overall impacts of AI technologies. Yet, frugality of AI is a major preoccupation, e.g. at the national (AFNOR reference document), and European (AI act) levels. In this...
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Cyrille Doux (LPSC)17/11/2026 14:30Invited talk
MIAI Grenoble Alpes is one of the nine French AI clusters, built on the 3IA institute created in 2019 and coordinated by Université Grenoble Alpes with UCA and USMB. It brings together about 600 researchers from more than 100 laboratories, from machine learning, generative AI and explainable or frugal AI to vision, robotics, health, environment and industry. This talk presents the cluster's...
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