IRT SystemX will take part in the 14th ITS European Congress, the European congress on intelligent transport systems, from 30 May to 1 June in Toulouse.
This internationally recognised event is organised each year by ERTICO – ITS Europe, the platform for collaboration between ITS stakeholders in Europe. This congress will bring together players from industry, research, public authorities, infrastructure managers and users, i.e. all stakeholders in intelligent transport systems who work together to develop and deploy the mobility solutions of tomorrow.
IRT SystemX will share on its stand its research work on the cybersecurity of CCAM (Connected, Cooperative and Autonomous Mobility), including in particular the aspects of misbehavior detection for collective perception (TAM project), methodology and demonstration of security (3SA and SAM projects), and will present its MOSAR platform for the evaluation of autonomous systems and its ADScene industrialisation project.
SystemX is organising the Workshop "Complex Systemx and Cyber-Resilience - State-of-the-Art and Challenges", at Nano-INNOV (Palaiseau), on October 6, 2023 About the event With technological advances, cyber-physical systems, and specifically critical infrastructures, have become strongly connected. Their exposure to cyber adversaries is higher than ever. The protection of such complex systems is of paramount importance.…
Challenges and opportunities of cyber-resilience: an interdisciplinary forum to navigate between state-of-the-art and regulation landscapes (in-person event). The increase in competitiveness leads to a race to digitization. Critical infrastructures become highly connected to the cyber world. This is especially true for Cyber-Physical Systems (CPSs), which combine hardware and software components. However, these complex systems remain…
Pietro Gori (Professeur, Télécom Paris) will run a Seminar@SystemX on the topic "Contrastive Learning in Computer Vision and Medical Imaging - A metric learning approach", on July 1st, 2025, from 2pm to 3pm. > Connect to the webinar << Abstract Contrastive Learning (CL) is a paradigm designed for self-supervised representation learning which has been applied…