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Explore how artificial intelligence serves as a correction term for complex real-world physics simulations in this 25-minute conference talk. Discover why AI functions as a residual component to enhance physics models rather than pursuing artificial general intelligence, using the NeuralOGCM (Neural Ocean General Circulation Model) as a primary example. Learn about differentiable ocean modeling with learnable physics through research conducted by teams from Tsinghua University, University of Science and Technology of China, Chinese University of Hong Kong, and Hong Kong University of Science and Technology. Understand how machine learning techniques can improve the accuracy of computational physics simulations, particularly in climate modeling applications. The presentation includes a dedication to MIT Professor Nuno Loureiro's work in plasma science and fusion research for combating climate change.
