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	Podcast:		Collège de France (Général)
	Episode:		Grand événement - AI and math for meteorology and climatology - Remi Lam: Learning global weather forecasting from data
	Category:		Education
	Duration:		00:50:22
	Publish Date:		2025-05-05 15:05:00
	Description:		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 Grand événement - AI and math for meteorology and climatology - Remi Lam: Learning global weather forecasting from data Remi Lam Massachusetts Institute of Technology, Staff Research Scientist, Google DeepMind Résumé This presentation will cover some of the recent advances in weather forecasting, learning directly from data using machine learning techniques. It will discuss some of the limitations and pitfalls of training ML models for scientific applications, and will highlight new research opportunities. Rémi Lam Rémi Lam is a Staff Research Scientist at Google DeepMind working on making weather forecasting faster and more accurate. His research leverages machine learning techniques such as adversarial neural networks, graph neural networks and diffusion models to design tools for precipitation nowcasting (DGMR) and global medium range weather prediction (GraphCast, GenCast).
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