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.
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…
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…
This large-scale competition, launched by SystemX in collaboration with Ansys, NVIDIA, RTE, Exaion, Inria, Sorbonne Université, TAILOR, and Criteo, hosted by Codalab and powered by the LIPS platform, has been a resounding success with over 125 competing teams and more than 1,200 submissions! This contest invited the competing teams to address the challenge of improving…