This episode dive deep on a 2025 Google DeepMind research paper, "Skillful joint probabilistic weather forecasting from marginals," detailing a new machine learning (ML) approach called Functional Generative Networks (FGN). FGN is designed for probabilistic weather forecasting, aiming to capture the range of probable weather conditions—known as ensemble forecasting—more accurately and faster than existing methods, including the previous ML state-of-the-art, GenCast.