Steve Nadis in Quanta:
Yu, now an associate professor at the University of California, San Diego (UCSD), is a leader in a field known as “physics-guided deep learning,” having spent years incorporating our knowledge of physics into artificial neural networks. The work has not only introduced novel techniques for building and training these systems, but it’s also allowed her to make progress on several real-world applications. She has drawn on principles of fluid dynamics to improve traffic predictions, sped up simulations of turbulence to enhance our understanding of hurricanes and devised tools that helped predict the spread of Covid-19.
This work has brought Yu closer to her grand dream — deploying a suite of digital lab assistants that she calls AI Scientist. She now envisions what she calls a “partnership” between human researchers and AI tools, fully based on the tenets of physics and thus capable of yielding new scientific insights. Combining inputs from a team of such assistants, in her opinion, may be the best way to boost the discovery process.
More here.
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