The Tackling the Underspecified (TAU) project was founded in 2017, gathering members of the former
TAO project (2003-2016) and building upon their expertise. Our research focuses on AI that is

  1. in safe interaction with our world ;
  2. empowered by scalable learning abilities ;
  3. tightly interacting with Physics, and in particular Statistical Physics, both at the methodological fundamental and at the application levels ;
  4. able to take advantage of, and participate in, the progress of human knowledge through selected machine learning applications, specifically ones modeled through Partial Differential Equations and simulators;
  5. created and manifested via competitive/cooperative international challenges.

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