![]() Physics-ML is used to model physical systems such as weather, ocean currents, and tidal activityĪcademic institutions play a pivotal role in nurturing emerging technologies and driving the innovation needed for their widespread adoption. It is well suited for modeling real-world systems - some applications include: predicting extreme weather, data center cooling, turbulent flow over a car, and protein modeling. Physics-informed machine learning (physics-ML) leverages knowledge of the physical world to train AI models. It also has broad applications in engineering and science. AI powers chatbots, recommender systems, computer vision applications, fraud prevention, and autonomous vehicles. AI is quickly becoming an integral part of diverse industries, from transportation and healthcare to manufacturing and finance.
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