Conférence doctorale : IA for the sciences

The PSL DATA Program, in collaboration with PR[AI]RIE, is inaugurating the inaugural PSL Doctoral Conference on AI for The Sciences. The objective of this conference is to bring together Ph.D. students engaged at the intersection of AI technologies and their respective disciplines (physics, biology, cognitive sciences, economics, etc.), or in core AI with an emphasis on practical applications.

The event will be structured into four half-day sessions, each commencing with insights from a globally recognized researcher, followed by brief presentations (20 min + questions). Additionally, there will be poster sessions featuring presentations by PSL Ph.D. students, accompanied by a social event scheduled for the evening of May 15th.

KEYNOTE SPEAKERS

Mercredi 15 mai
 

9h - Patrick Gallinari
Institute of Intelligent Systems and Robotics (ISIR)
Sorbonne University, CNRS, INSERM
Physics Aware Deep Learning

14h - Tom Charnock
Paris Institute of Astrophysics
Sorbonne University, CNRS
Bayesian deep learning for cosmology and gravitational waves

Jeudi 16 mai

9h - Philippe Nghe
Laboratory of Biophysics and Evolution
ESPCI Paris - PSL, CNRS
Generating self-reproducing RNAs

14h - Jérome Lang
Decision Support Systems Analysis and Modeling Laboratory
Dauphine - PSL, CNRS
From AI to Computational Social Choice