by Julie Bernede | Jan 12, 2024 | Feedback, Hot topic, Visibility & Recognition
Thesis Day, organized by IRT SystemX and the IPVF and Efficacity institutes, brought together 70 participants on November 23 for a day dedicated to the work of doctoral students! The day’s program included a keynote address by Olivier de Lagarde (Collège de...
by Julie Bernede | Dec 14, 2023 | Hot topic, R&D News, Visibility & Recognition
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...
by Julie Bernede | Dec 14, 2023 | Hot topic, R&D News, Visibility & Recognition
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...
![[My PhD thesis in 3 years] Interview with Tjark Gall](https://www.irt-systemx.fr/wp-content/uploads/2020/07/ECe76m-WkAEBstY.png)
by Julie Bernede | Nov 27, 2023 | Hot topic, Visibility & Recognition
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...
by Julie Bernede | Oct 24, 2023 | Hot topic, R&D News, Visibility & Recognition
IRT SystemX and its partners involved in the EPI project (AI-based Performance Evaluation of Decision Systems – Évaluation des Performances de systèmes de décision à base d’IA) filed a patent with the French National Institute for Industrial Property (INPI). The...
by Julie Bernede | Oct 16, 2023 | Hot topic, R&D News, Visibility & Recognition
Machine learning, scientific computing or physical simulation hold no secrets for you? This challenge is tailor-made for you! This contest invites you to address the challenge of improving baseline solutions of the Airfoils design use case by building new ML-based...
