Launch of PEPR IA projects

news | Project

Following the official inauguration of PEPR IA on 25th and 26th March 2024, the 9 targeted projects kicked off their researches, with the attendance of the French National Research Agency (ANR).

The launch dates are listed below:

Frugal AI and Embedded AI

SHARP, Theoretical and algorithmic principles for frugal Machine Learning: April 25th, 2024
Website : https://project.inria.fr/sharp/
HOLIGRAIL, Hollistic approaches to greener model architectures for inference and learning: April 5th, 2024
Website : https://project.inria.fr/holigrail/
ADAPTING, Adaptive architectures for embedded artificial intelligence: June 5th, 2024
Website : Coming soon
EMERGENCES, Near-physics emerging models for embedded AI: May 17th, 2024
Website : Coming soon

Trustworthy AI and Distributed AI

REDEEM, Resilient, decentralized and privacy-preserving machine learning: April 23rd, 2024
Website : https://project.inria.fr/redeem/
CAUSALI-T-AI, When causality and AI teams up to enhance interpretability and robustness of AI algorithms: April 23rd, 2024
Website : https://sites.google.com/view/causali-t-ai/
FOUNDRY, The foundations of robustness and reliability in artificial intelligence: April 26th, 2024
Website : Coming soon
SAIF, Safe AI through formal methods: April 22nd, 2024
Website : Coming soon

New Mathematical Foundations of AI

PDE-AI, New architectures for machine learning: 4 avril 2024
Website : https://pde-ai.math.cnrs.fr/

More than 150 PhD students and at least as many post-docs and engineers will be hired for this first wave of projects, expected to last from four to six years. As part of a collaborative, multidisciplinary approach, the research teams are spread throughout France, in particular at the CEA, CNRS and Inria, as well as in universities and top-ranking higher education establishments.

We will keep you regularly informed of project news on the PEPR IA website.