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Electronique Soutenable, Ouverte et Souveraine (ESOS)
Le projet ESOS vise à former les étudiants et professionnels à l'électronique soutenable et à attirer les jeunes vers une filière électronique d'avenir. La contractualisation du projet date du 2 mai 2023 et sa réunion de lancement a eu lieu le 5 juillet 2023. Ce premier rapport scientifique couvre l
Rockfall risk: the use of Artificial Intelligence for the operational management of the risk – C2R-IA
Currently, the management of rockfall risk is mainly dealt with the construction of protective structures, which often represents a disproportionate cost compared to the financial resources of municipalities and private operators. Morever, it is often impossible to develop such solutions over an ent
Toute l'Intelligence Artificielle à Rennes
Le projet TIARe est déployé depuis mars 2023 (lancement le 26 juin). L’équipe exécutive projet recrutée jusqu’à maintenant comprend un chef de projet, une gestionnaire administrative et financière, un chargé de communication. Les 5 référents des actions proposées ont organisé des réunions d’enseigna
Machine learning And Matheuristics algorithms for Urban Transportation – MAMUT
The MAMUT project aims at designing an open platform for solving recurrent and dynamic vehicle routing problems in urban environments. In order to address these urban transportation problems, we propose to combine operations research (OR) and artificial intelligence (AI). OR is able to propose fast
A New BCI Paradigm To Detect Intraoperative Awareness During General Anesthesia – BCI4IA
The BCI4IA project aims to design a brain-computer interface for detecting intraoperative awareness during general anesthesia (GA). No satisfactory solution exists when this phenomenon causes severe post-traumatic stress disorder. The first reaction of patients is to move, but the curarization used
Detection of False Data Injection Attacks on the ADS-B protocol in the civil and military air traffic control – DApIA
The DApIA project aims at developing capabilities to detect False Data Injection Attacks (FDIA) using Machine Learning components on air surveillance data from the ADS-B protocol. The objective of FDIA attacks is to corrupt the semantics of the surveillance data while preserving the correct syntax
