Join our “#MachineLearning for Physical Simulation” challenge!
Published on 10/16/2023
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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.
Tjark joined SystemX in 2020 to work on his PhD thesis dedicated to scenario-based design of people-centred mobility solutions for urban systems. He revisits his experience carry out his doctoral work performed within the Anthropolis chair and supervised by the Laboratoire Génie Industriel (LGI), CentraleSupélec and Université Paris-Saclay What was the topic of your thesis?…
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
Machine learning, physical models or simulation hold no secrets for you? This challenge is tailor-made for you! Following the success of the 1st edition of the "Machine Learning for Physical Simulation" challenge, this new edition is being organized as part of the NeurIPS 2024 conference. It focuses on simulating the design of an Airfoil, using…