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Who Is Anima Anandkumar? Caltech scientist on TIME’s ‘most influential people in AI’ list
Developing
The TIME recognition came just after Anandkumar announced the public launch of her new company, Accelerated Understanding. I believe the… pic.twitter.com/h01RcqQ8PZ She explained that this journey began with the invention of Neural Operators at Caltech, which became the foundation for a weather model called FourCastNet, built with her team at NVIDIA.
She acknowledged that this is one possible future, but said that if democratic systems remain strong, data centres can also serve other purposes, including weather forecasting, climate research and scientific discovery. Her research has centred on a method known as Neural Operators, which allows AI models to understand and simulate physical processes at different scales, something that once required the power of supercomputers.
Looking ahead, she said she is “particularly excited about self-improvement,” pointing to how physics-based models can check and improve their own results rather than depending only on lab data. In a post on X, she said, “Bringing the power of AI+Science together has been the focus of my life for the past decade.
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- Her research has centred on a method known as Neural Operators, which allows AI models to understand and simulate physical processes at different scales, something that once required the power of supercomputers.
- The TIME recognition came just after Anandkumar announced the public launch of her new company, Accelerated Understanding.
- In a post on X, she said, “Bringing the power of AI+Science together has been the focus of my life for the past decade.
- I believe the… pic.twitter.com/h01RcqQ8PZ She explained that this journey began with the invention of Neural Operators at Caltech, which became the foundation for a weather model called FourCastNet, built with her…
- Looking ahead, she said she is “particularly excited about self-improvement,” pointing to how physics-based models can check and improve their own results rather than depending only on lab data.
- She acknowledged that this is one possible future, but said that if democratic systems remain strong, data centres can also serve other purposes, including weather forecasting, climate research and scientific discovery.
Sources
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