Join our “#MachineLearning for Physical Simulation” challenge!

Published on 10/16/2023

We believe that the true value of AI lies in its acceptability and in its ability to be effectively integrated into complex systems. That’s why we place trust at the heart of everything we do — because we see it as the key to unlocking the full innovative potential AI can bring to our industries.

For over 10 years, we have led multi-partner, cross-sector R&D projects — such as Confiance.ai, a cornerstone of France’s national AI strategy — to deliver tailor-made, by-design solutions to our partners.

>> Discover our approach to trustworthy AI and explore our most impactful contributions in the field.

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ML4CFD NeurIPS 2024 challenge: “Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design”

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[On the blog] How to strengthen the generative power of a scientific and industrial ecosystem? The case of IRT SystemX, a double impact RTO

Why can IRT SystemX be described as a "dual impact" RTO? What do we mean by "double impact"? The Scientific Direction of IRT SystemX has initiated a project in 2021 in collaboration with the Scientific Management Center (Mines Paris-PSL) to answer this question. The objective of this project is to characterize the nature of the…

Published on 06/14/2022