Who is betting on what in AI, and against whom.
George Em Karniadakis
Researcher
Brown applied mathematician who coined physics-informed neural networks with his students in 2017 and has spent the years since building the operator-learning toolbox (DeepONet, physics-informed DeepONets) that the simulator-first strand runs on. Earlier work on spectral element methods and polynomial chaos predates the deep-learning turn by two decades.
Known for Physics-informed neural networks; DeepONet; Spectral/hp element methods
Works in
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dates not recordedBrown University, Professor of applied mathematicsSources Physics-Informed Deep Neural Operator Networks arXiv 2022-07-08 · George Em Karniadakis on alphaXiv 2026-09-05 · George Karniadakis Wikipedia 2026-09-05