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This keynote was a part of LDV Capital's 8th Annual LDV Vision Summit (March 2022). Anima Anandkumar is the Director of ML research at NVIDIA and Bren Professor at Caltech. Partial differential equations are the foundation for most scientific simulations. At Caltech, Anima Anandkumar and her team developed the Fourier Neural Operator (FNO), a framework that allows AI to learn and solve an entire family of partial differential equations, rather than a single instance. It’s the first machine learning method to successfully model turbulent flows with zero-shot super-resolution — meaning, they do not need high-resolution training data, which are necessary for standard neural networks. FNO-based machine learning greatly reduces the costs of obtaining information for AI models, improves their accuracy and speeds up inference. Anima will discuss how, at NVIDIA, they have leveraged FNOs to offer a 100,000x speedup over numerical methods and, as one application, can provide unprecedented fine-scale resolution for weather prediction models. By accurately simulating and predicting extreme weather events, the AI models can allow planning to mitigate the effects of such disasters. Links Thank You for Making Our 8th Annual LDV Vision Summit a Great Success: https://www.ldv.co/blog/8th-ldv-visio... NVIDIA's website: https://www.nvidia.com/en-us/ LDV Capital’s website: http://www.ldv.co/ LDV Capital’s Twitter: / ldvcapital LDV Capital invests in people building businesses powered by visual technologies. We thrive on collaborating with deep tech teams leveraging computer vision, machine learning, and artificial intelligence to analyze visual data. We are the only venture capital firm with this thesis. Our first annual LDV Vision Summit in 2014 has become known to top technologists, investors, and entrepreneurs as the premier global gathering in visual tech. Due to the virtual nature of the 8th LDV Vision Summit, it was attended by hundreds of people from at least 15 countries. Subscribe and register for the upcoming LDV Events: https://www.ldv.co/events