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Ambuj Tewari, Professor of Statistics, University of Michigan

Nobel Prize in physics spotlights key breakthroughs in AI revolution − making machines that learn

Artificial neural networks mimic human brains, but the technology has its roots in physics. Thom Leach/Science Photo Library via Getty Images

If your jaw dropped as you watched the latest AI-generated video, your bank balance was saved from criminals by a fraud detection system, or your day was made a little easier because you were able to dictate a text message on the run, you have many scientists, mathematicians and engineers to thank.

But two names stand out for foundational contributions to the deep learning technology that makes those experiences possible: Princeton University physicist John Hopfield and University of Toronto computer scientist Geoffrey Hinton.

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