Saving on resources without losing analytical power
© INRIA / Photo M. Bourguet

Project: Algorithms, Approximations, Sparsity and Sketching for AI (AllegroAssai)

Project leader: Rémi Gribonval - Dante team - Inria Grenoble - Rhône-Alpes Activity scope: various different fields of research and industries, including, in the context of this chair, driverless vehicles.

Aim: to develop mathematically founded methods for determining compromises to be made between efficiency, use of resources and reliability in the context of machine learning applied to very large volumes of data.