Since its emergence in the 1950s, artificial intelligence (AI) has been growing rapidly, accentuated by the development of available computing power and the Internet in the 2000s. However, despite its many successes, AI can still be a source of concern and has many challenges to face, both on the industry side and on the user side, in order to be accepted by all. Among these challenges, there are the locks related to energy, security and confidentiality but also to the trust of its users.
In this article, Fabien Tschirhart (research engineer, IRT SystemX) and Bertrand Braunschweig (scientific coordinator of the Confiance.ai program) look at the issue of AI adoption in critical systems.
We'd like to wish you all the very best for the new year, which we hope will be rich in new projects, encounters and learning. This year, we have honored six of our employees who share a few anecdotes with us:
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…
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