How do we build AI for science? Augment with AI or replace with AI? Augment with AI involves keeping existing numerical simulations. In our latest paper, we show end-to-end learning is faster significantly and also wins in data efficiency, which is counterintuitive. arxiv.org/pdf/2408.05177 #ai

Thank you @cvprconference.bsky.social for hosting my
IEEE Kiyo Tomiyasu award for bringing AI to scientific domains with Neural Operators and physics-informed learning. The future of science is AI+Science!
corporate-awards.ieee.org/award/ieee-k...

Thank you, IEEE, for the honor! AI+Science is here to stay. I started working on this seriously after I joined @caltech.edu in 2017. We grounded our work in principled foundations, such as Neural Operators and physics-informed learning, for accelerating modeling and making scientific discoveries.

Thank you for Time 100 AI impact award time.com/7212504/time...