Artificial intelligence (AI) is currently a rapidly expanding field. It applies to all fields: transport, health, logistics, security, finance and commerce. There are a plethora of examples where the use of AI algorithms is a particularly powerful tool. These include the development of autonomous vehicles, robots and decision-making software. So it's only natural that the CEA and its partners should be interested in these techniques. IntheArt is a project called DRF-impulsion, which aims to bring together different institutes within DRF and CEA around Machine Learning and more generally around artificial intelligence.
Artificial intelligence (AI) is currently a rapidly expanding field. It applies to all fields: transport, health, logistics, security, finance and commerce. There are a plethora of examples where the use of AI algorithms is a particularly powerful tool. These include the development of autonomous vehicles, robots and decision-making software. So it's only natural that the CEA and its partners should be interested in these techniques. IntheArt is a project called DRF-impulsion, which aims to bring together different institutes within DRF and CEA around Machine Learning and more generally around artificial intelligence.
The European Commission has selected the COFUND DeMythif.AI project led by DATAIA Institute for Paris-Saclay University. This €3M funding will enable the co-financing of around twenty theses for the start of the 2025 academic year, on the theme of “AI and uncertainty”: controlling uncertainty, managing explicability, encouraging frugality, across a wide spectrum of applications in fundamental or applied sciences and engineering. These themes are deliberately open-ended to enable a broad integration of issues in and around AI within Paris-Saclay.
The four main AI institutes in the Paris region (DATAIA, Hi! PARIS, PRAIRIE and SCAI) are launching an annual call for projects dedicated to doctoral research.
The DATAIA Institute supports research in Data Science in the broadest sense (including computer science, mathematics, physical sciences, life sciences and the humanities and social sciences), through an annual call for Master's degree internships.