Doctoral conference AI for The Sciences
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The PSL DATA Program, in collaboration with PR[AI]RIE, is launching the first PSL Doctoral Conference AI for The Sciences. The aim of this conference is to gather together PhD students working at the interface of AI technologies and their own discipline (physics, biology, cognitive sciences, economics, etc.), or in core AI with a view towards applications.
It will be organized around four half-day sessions, each of them opened by an internationally-renowned researcher, followed by short talks (20 min + questions). There will be poster sessions presented by PhD students of PSL along with a social event organised in the evening of May the 15th.
To submit your work for a short talk or the poster session, please send a CV and a long abstract, that should not exceed two pages (single column, typeface not smaller than 11pt), indicating whether you prefer a short talk or a poster to justine.petit@psl.eu before March 29, 2024 (email title: application to the doctoral conference AI for the Sciences). Applicants will be notified before April 15, 2024.
KEYNOTE SPEAKERS
Tom Charnock
Paris Institute of Astrophysics
Sorbonne University, CNRS
Bayesian deep learning for cosmology and gravitational waves
Patrick Gallinari
Institute of Intelligent Systems and Robotics (ISIR)
Sorbonne University, CNRS, INSERM
Physics Aware Deep Learning
Jérome Lang
Decision Support Systems Analysis and Modeling Laboratory
Dauphine - PSL, CNRS
From AI to Computational Social Choice
Philippe Nghe
Laboratory of Biophysics and Evolution
ESPCI Paris - PSL, CNRS
Generating self-reproducing RNAs