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Minisymposium Presentation
Panel Discussion on the Future of Machine Learning in Earth System Modelling
Presenter
Karthik Kashinath is a principal engineer and scientist in HPC+AI at NVIDIA. He co-leads NVIDIA’s Earth-2 initiative, which utilizes cutting-edge large-scale AI to build Earth digital twins for weather and climate applications. A current focus of Earth-2 is on adapting generative AI technologies that are transforming the industry for scientific computing. Karthik is trained as a mechanical and aerospace engineer with a Bachelors from the Indian Institute of Technology – Madras, Masters from Stanford University and PhD from the University of Cambridge. Prior to joining NVIDIA, he worked at Lawrence Berkeley Lab in climate informatics, big data analytics, and physics-informed machine learning for fluid dynamics and Earth system science applications.
Description
In this panel discussion, the speakers of the session will be asked about their view on how machine learning for Earth system modelling will evolve in the coming years, and how machine learning and conventional models will interact, merge or coexist. The session will start with a couple of questions by the chair but will also give the audience the opportunity to ask questions and to make comments.