PR[AI]RIE Day : the parisian AI institute celebrates 2 years of research

PR[AI]RIE (PaRis Artificial Intelligence Research InstitutE), created in 2019, is led by Université PSL (including Université Paris Dauphine, ENS Institut Curie, Les Mines), in partnership with the CNRS, INRIA, Institut Pasteur and Université de Paris.

For PRAIRIE's second anniversary, Université PSL and Université Paris Dauphine - PSL are organizing PRAIRIE Day, a day of reflections on the challenges of Artificial Intelligence research, with a series of conferences featuring leading actors in the AI field.

PRAIRIE Day will be held during Paris AI Week 2021 organized by the French Tech Grand Paris, a collective of entrepreneurs, venture capitals and digital leaders created to address 4 priorities of the startup ecosystem in Paris: alleviate the shortage of tech talent (Talents), increase the quality of tech in startups (Deep Tech), question the social utility of startups (Tech4Good) and streamline the funding chain.

PRAIRIE DaY PROGRAM

About PRAIRIE
 

PRAIRIE was selected in April 2019 following the call for the creation of Interdisciplinary Institutes of Artificial Intelligence (3IA) as part of the national AI strategy launched at the AI for Humanity summit by French President Emmanuel Macron.

This institute, supported by CNRS, INRIA, Institut Pasteur, Université de Paris and Université PSL, with the support of industrial partners (currently: Amazon, Google Deepmind, Facebook AI, Faurecia, GE Healthcare, Google, IDEMIA, Janssen, NAVER LABS, Nokia Bell Labs, Pfizer Innovation France, Stellantis, Valeo and Vertex) aims to be a place of research and training excellence in artificial intelligence in Paris.

This institute is composed of research chairs held by leading researchers and teacher-researchers.
8 of the 48 current PRAIRIE chairs are supported by professors from Université Paris Dauphine - PSL.

-    Emmanuel Bacry (CEREMADE) : Machine Learning
-    Tristan Cazenave (LAMSADE) : Artificial Intelligence
-    Laurent Cohen (CEREMADE) : Image analysis
-    Jérôme Lang (LAMSADE) : Multi-agent systems, Knowledge representation and reasoning
-    Christian Robert (CEREMADE) : Computational statistics
-    Clément Royer (LAMSADE) : Optimization
-    Irène Waldspurger (CEREMADE) : Non-convex optimization, inverse problems, scattering transform
-    Florian Yger (LAMSADE) : Machine Learning

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