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.

See also

News

[SystemX blog] AI-enhanced physical simulation: challenges and validation approach

The use of numerical simulation in industry faces several limitations, such as the difficulty in modeling certain physical phenomena or the computational cost which can be very high. In this context, Artificial Intelligence (AI) has emerged as a promising avenue to address this issue and allow a more efficient use of physical simulators in decision…

Published on 12/08/2022

News

IRT SystemX wishes you a happy new year 2025!

In 2025, the institute's teams will continue shaping the future of society and industry around its three strategic pillars: Augmented engineering and trustworthy AI to drive the large-scale adoption of AI across industries. Industrial cybersecurity for a reliable and resilient digital world. Digital twins for a sustainable and resilient industry.   https://www.youtube.com/watch?v=vK7_T1wD-c8&t=44s

Published on 01/10/2025

News

MIC Core: A common definition of simulation models metadata from IRT SystemX and prostep ivip

IRT SystemX and prostep ivip have joined forces and are happy to release a common set of core simulation metadata, based on their exchanges with different organizations. IRT SystemX and prostep ivip have benefited from their capacity to organize collaborative industrial projects in France and Germany, respectively. Characterizing simulation Characterizing simulation models with a list…

Published on 07/21/2023