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).
