PEPR IA

Priority Research Programme

and Equipments on Artificial Intelligence

Managed by

Financed by

Operated by

PEPR IA


Basic science to support the national AI strategy

Artificial intelligence (AI) is now central to our industrial competitiveness and to the performance of services essential to our society—not to mention the technology’s major implications for state sovereignty. And the global AI ecosystem is nothing if not complex. New tech giants have emerged around AI, and AI startups have risen to unprecedented heights. The constellation of stakeholders gravitating around these AI players is vast, spanning higher education and research and encompassing businesses of all types cutting all industries.

The French government recently introduced its France 2030 investment plan, which will fund a new phase in the National Artificial Intelligence Strategy through an instrument called the Priority Research Programme and Equipments on AI (PEPR IA). The goal is to guarantee France a long-term seat at the global AI table. This new program, which funds research from fundamental science to proofs of concept, aims to remove the scientific barriers to progress on the technological pillars of the national AI strategy, from the mathematical foundations of AI to embedded, frugal, distributed and trustworthy AI.

The scientific challenges inherent to AI cannot be addressed without also considering the societal challenges raised by the technology. The impacts of AI on the planet, on society, and on our technological sovereignty are vital concerns. 

 NNawaQ
NNawaQ
NNawaQ, Neural Network Adequate Hardware Architecture for Quantization (HOLIGRAIL project)
Voir plus
 Package Python Keops
Package Python Keops
Package Python Keops for (very) high-dimensional tensor calculations (PDE-AI project)
Voir plus
 MPTorch
MPTorch
MPTorch, a PyTorch-based framework for simulating and emulating custom precision DNN training (HOLIGRAIL project)
Voir plus
 CaBRNeT
CaBRNeT
CaBRNeT, a library for developing and evaluating Case-Based Reasoning Models (SAIF project)
Voir plus
 SNN Software
SNN Software
SNN Software, Open Source Tools for SNN Design (EMERGENCES project)
Voir plus
 SDOT
SDOT
SDOT, A C++ and Python library for Semi-Discrete Optimal Transport (PDE-AI project)
Voir plus
 FloPoCo
FloPoCo
FloPoCo (Floating-Point Cores), a generator of arithmetic cores and its applications to IA accelerators (HOLIGRAIL project)
Voir plus
 Lazylinop
Lazylinop
Lazylinop (Lazy Linear Operator), a high-level linear operator based on an arbitrary underlying implementation, (SHARP project)
Voir plus
 CAISAR
CAISAR
CAISAR, a platform for characterizing artificial intelligence safety and robustness
Voir plus
 P16
P16
P16 or to develop, distribute and maintain a set of sovereign libraries for AI
Voir plus
 AIDGE
AIDGE
AIDGE, the DEEPGREEN project’s open embedded development platform
Voir plus
 Jean-Zay
Jean-Zay
Jean Zay or the national infrastructure for the AI research community
Voir plus
 ADAPTING
ADAPTING
Adaptive architectures for embedded artificial intelligence
Voir plus
 Call of chairs Attractivité
Call of chairs Attractivité
PEPR AI Chairs program offers exceptionally talented AI researchers the opportunity to establish and lead a research program and team for a duration of 4 years in France.
Voir plus
 CAUSALI-T-AI
CAUSALI-T-AI
When causality and AI teams up to enhance interpretability and robustness of AI algorithms
Voir plus
 EMERGENCES
EMERGENCES
Near-physics emerging models for embedded AI
Voir plus
 FOUNDRY
FOUNDRY
The foundations of robustness and reliability in artificial intelligence
Voir plus
 HOLIGRAIL
HOLIGRAIL
Hollistic approaches to greener model architectures for inference and learning
Voir plus
 PDE-AI
PDE-AI
Numerical analysis, optimal control and optimal transport for AI / “New architectures for machine learning”.
Voir plus
 REDEEM
REDEEM
Resilient, decentralized and privacy-preserving machine learning
Voir plus
 SAIF
SAIF
Safe AI through formal methods
Voir plus
 SHARP
SHARP
Sharp theoretical and algorithmic principles for frugal ML
Voir plus

Pas d’actualité

Building a research ecosystem to tackle the challenges of AI

The idea behind the Priority Research Programmes and Equipments is to mobilize the national scientific community around specific challenges. The AI program will concentrate resources and focus efforts to support breakthroughs that will benefit all AI stakeholders in France and in Europe.

The French government has tasked three major research organizations, CEA, CNRS, and Inria, with orchestrating and managing the AI program, whose specific objectives are to make France a European and world-wide leader in both fields of embedded AI and trusted AI. The program also aims to make France an attractive destination for global AI talent and facilitate the transfer of AI technology to increase industrial innovation.

Key figures

9

projects funded

197

permanent researchers involved

65

PhD students trained

32

post-docs and engineers hired

News & Events


Keep up with the latest news and events

 Feedback on the 1st edition of PEPR IA Days
  • news
Feedback on the 1st edition of PEPR IA Days
From March 18 to 20, 2025, Centrale Supélec hosted the first edition of PEPR IA Days, bringing together all the players involved in the PEPR IA Priority Research Program and Equipment.
28 March 2025
 Launch of the PEPR IA Attractivité Chair program
  • news
  • Call for chairs
Launch of the PEPR IA Attractivité Chair program
As part of the French Strategy in Artificial Intelligence (AI), PEPR AI Chairs program offers exceptionally talented AI researchers the opportunity to establish and lead a research program and team for a duration of 4 years in France.
11 March 2025

Pas d’actualité

Pas d’actualité