Grand événement - AI and math for meteorology and climatology - Remi Lam : Learning global weather forecasting from data

Grand événement - À la recherche d'un Avenir Commun DurableL'IA et les mathématiques pour la météorologie et la climatologieAI and math for meteorology and climatologyCollège de FranceAnnée 2024-20255 mai 2025Grand événement - AI and math for meteorology and climatology - Remi Lam : Learning global weather forecasting from dataRemi LamMassachusetts Institute of Technology, Staff Research Scientist, Google DeepMindRésuméThis 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 LamRémi 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).