• HomePage

  • Our programs

  • Mathematics for Artificial Intelligence

    The Mathematics and Artificial Intelligence program aims to develop mathematics at the interface with artificial intelligence within the Paris-Saclay perimeter, particularly in the following areas: Algebra (coding, cryptography, ...), Harmonic Analysis (wavelets, ...), Mathematical Logic (verification, proof, ...), Probability (information theory, stochastic networks, ...), Optimization, Statistics (statistical learning, data science, ...)

     

    The program

     

    • Funds scientific events related to the Maths and AI theme and sufficiently connected to the Paris Saclay perimeter. To apply for funding, click here.
    • Finance invitations to foreign scientists, for periods of 1 to 3 months. To apply for funding, click here.
    • Cooperates with the EDMH jury in the selection of thesis funding applications that fall within the scope of its expertise.
    • Finances post-doctoral fellowships, via the annual call for proposals issued by the FMJH.
    • Participates in the funding of collaborative projects involving laboratories within the Paris-Saclay perimeter (joint annual call for projects with PGMO).

     

    Please note that requests for support (for scientific events and invitations to foreign scientists) are examined on an ad hoc basis by the FMJH Steering Committee, which relies on the advice of the Mathematics and Artificial Intelligence jury. To give the jury time to examine the applications, applications must be submitted at least 14 days before the Steering Committee meeting. Late applications will be examined at the next steering committee meeting (see calendar).

     

    Comité Scientifique

    The Maths IA program is led by Frédéric Chazal (INRIA) and Randal Douc (SAMOVAR).

    With a program committee made up of  d'Alain Couvreur (LIX), Sylvie Boldo (LRI), Richard Combes (Supélec), Laurent Decreusefond (LTCI), Carl Graham (CMAP), Louis Goubin (LMV), Erwan Le Pennec (CMAP) and Emmanuel Vazquez (Supélec), Marc Schoenauer (INRIA)