Grand événement - L'IA et les mathématiques pour la météorologie et la climatologie - Stéphane Mallat : Introduction

Grand événement - À la recherche d'un Avenir Commun Durable

L'IA et les mathématiques pour la météorologie et la climatologie

AI and math for meteorology and climatology

Collège de France

Année 2024-2025

5 mai 2025

AI AND MATH FOR METEOROLOY AND CLIMATOLOGY

Stéphane Mallat

Professeur du Collège de France

L'événement est en anglais.

L'initiative Avenir Commun Durable bénéficie du soutien de la Fondation du Collège de France, de ses grands mécènes la Fondation Covéa et TotalEnergies et de ses mécènes FORVIA et Saint-Gobain.

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.