It was a pleasure to be back at @PyTorch conference and talk about Neural Operators as a foundation for AI+Science. Check out our open-source library in PyTorch
@animaanandkumar
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Zongyi Li Receives Award for Neural Operators Research
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Congratulations @ZongyiLiCaltech and thank you @schmidtsciences for supporting him to continue foundational work in neural operators. Congratulations to all the awardees.
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Speaking at AIAS with Nobel laureates and Turing awardees
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It was an honor to be speaking at the AIAS sharing the stage with amazing speakers including Nobel laureates and Turing awardees.
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NOBLE: Neural Operator Framework for Neuroscience Research
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We're excited to announce NOBLE (Neural Operator with Biologically Informed Latent Embeddings), accepted to @NeurIPSConf NOBLE is our new neural operator framework designed for neuroscience research, accurately predicting somatic voltage responses to current injections in
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PyTorch’s Growth: Open Source Leading AI Development
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Wonderful to catch up with old friends and reminisce how much AI has grown at @PyTorch Thank you Joe Spisak and Matt White for inviting me! AI cannot exist without open source being in the lead.
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Neural Operators and TensorLy Ecosystem at PyTorch Conference
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It was wonderful to have @JeanKossaifi and David present the poster on Neural Operators and tensorly at @PyTorch yesterday. There is no ai+science without neural operators. Check out our rich ecosystem.
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New AI Model for Drug Design Integrates Advanced Physics Predictions
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Proud to have contributed to this https://
caltech.edu/about/news/new
-ai-model-for-drug-design-brings-more-physics-to-bear-in-predictions
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PyTorch Conference: Neural Operators for AI Science
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My first @PyTorch keynote was almost a decade ago in a small venue. So much has changed. Was amazing to come back to the much bigger @PyTorch conference and talk about ai+science. Check out our Neural Operator library and its latest release https://t.co/CouRPFdF60 https://t.co/bOniHIvZlZ
— Prof. Anima Anandkumar (@AnimaAnandkumar) 23 octobre 2025My first @PyTorch keynote was almost a decade ago in a small venue. So much has changed. Was amazing to come back to the much bigger @PyTorch conference and talk about ai+science. Check out our Neural Operator library and its latest release https://
github.com/neuraloperator
/neuraloperator
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Neural Operators: The Future of AI and Science
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I will be giving a keynote in 30 minutes on foundations for ai+science and @JeanKossaifi will be presenting a poster on the neural operator library. Check it out! The future of ai+science cannot be conceived without neural operators.
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Physics-Informed AI Improves Molecular Structure Predictions
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Physics-informed learning is essential for AI+Science. Check out our latest paper in @PNASNews special edition on AI+Chemistry on incorporating simple rules of physics that two atoms in a molecule cannot get too close to one another (due to repulsive forces) vastly improves