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.
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…
The SAM consortium (Sécurité & Acceptabilité de la Mobilité autonome – Security & Acceptability of autonomous Mobility), gathered around the PFA autonomous platform, and selected in 2019 by the government to lead a national experimental programme around the autonomous vehicle, completed four years of work by bringing together, on 28 and 29 November 2023, at the Séquoia…
Today, players of the automotive industry are faced with a major challenge: how can the safety of a transport system be demonstrated in an open environment, given the infinity of situations encountered and regardless of the level of driving assistance? In order to offer a solution to this issue, SystemX is contributing – by relying…