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How AI and Science Can Mitigate Climate Change | NVIDIA Blog

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A partial differential equation is “the most powerful tool humanity has ever created,” Cornell University mathematician Steven Strogatz wrote in a 2009 New York Times opinion piece. This quote opened last week’s GTC talk AI4Science: The Convergence of AI and Scientific Computing, presented by Anima Anandkumar, director of machine learning research at NVIDIA and professor of computing at the California Institute of Technology. Anandkumar explained that partial differential equations are the foundation for most scientific simulations. And she showcased how this historic tool is now being made all the more powerful with AI. “The convergence of AI and scientific computing is a revolution in the making,” she said. Using new neural operator-based frameworks to learn and solve partial differential equations, AI can help us model weather forecasting 100,000x quicker — and carbon dioxide sequestration 60,000x quicker — than traditional models. Anandkumar and her team developed the Fourier Neura

A partial differential equation is “the most powerful tool humanity has ever created,” Cornell University mathematician Steven Strogatz wrote in a 2009 New York Times opinion piece . This quote opened last week’s GTC talk AI4Science: The Convergence of AI and Scientific Computing , presented by Anima Anandkumar, director of machine learning research at NVIDIA and professor of computing at the California Institute of Technology. Anandkumar explained that partial differential equations are the foundation for most scientific simulations. And she showcased how this historic tool is now being made

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