The Frontiers of Deep Learning for Earth System Modelling
, NVIDIA
Get an overview of cutting-edge artificial intelligence applications and techniques for the earth-system sciences. We survey the most important recent contributions in areas including extreme weather, physics emulation, nowcasting, medium-range forecasting, uncertainty quantification, bias correction, generative adversarial networks, data in-painting, network-HPC coupling, physics-informed neural nets, and geoengineering, among others. Then, we describe recent AI breakthroughs that have the potential to benefit the geosciences. We also discuss major open challenges in AI for science and their potential solutions. We update our talk frequently to accurately reflect this rapidly changing field.