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SUMMARY:Colloque : "Le droit international de l’environnement face au défi de l’effectivité"
DESCRIPTION:[Les interventions se feront en anglais.] [Télécharger l’affiche] CONFERENCES 5 MAY / 9H00 > 17H30 Collège de France 11 place Marcelin Berthelot – 75005 Paris Free to enter\, depending on availability Recent advances in artificial intelligence (AI) have produced unexpected and impressive results for weather forecasting\, despite the complexity of these multi-scale phenomena. AI is also playing an increasingly important role in climatology. These results raise profound questions about modelling. On the one hand\, we know the physics equations that have so far been used in large-scale numerical models. On the other hand\, many physical parameters are unknown\, for example at interfaces\, which motivates a learning approach based on past data.  We can also learn the evolution equations indirectly\, eliminating the need for physical modelling. The approaches developed in AI in recent years oscillate between these two strategies. This conference will present the state of the art at the interface between mathematics\, physics and statistical learning using deep neural networks. It will highlight the advantages and disadvantages of the different modelling strategies\, as well as the a priori incorporated in the form of equations or algorithmic architectures\, in relation with physics. An objective is to encourage a dialogue between mathematicians\, AI researchers\, meteorologists and climatologists. — 9H00 > 9h10: Stéphane Mallat\, Collège de France Introduction 9H10 > 10H10: Michael Brenner\, Harvard University The neural GCM\, and other remarks 10H10 > 11H10: Thomas Dubos\, École Polytechnique Hamiltonian insights and the challenge of unresolved processes in geophysical models 11H30 > 12H30: Laure Zanna\, New York University Reshaping climate modelling with AI 14H00 > 15H00: Remi Lam\, Massachusetts Institute of Technology Learning global weather forecasting from data 15H00 > 16H00: Claire Monteleoni\, INRIA Paris Confronting climate change with generative and self-supervised machine learning 16H20 > 17h20: Marc Bocquet\, École des Ponts Artificial intelligence for geophysical data assimilation
URL:https://avenircommundurable.fr/evenement/colloque-le-droit-international-de-lenvironnement-face-au-defi-de-leffectivite/
CATEGORIES:colloque
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