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An international research team has launched Polymathic AI, an initiative aimed at accelerating the development of versatile foundation models for scientific machine learning applications. The project will use artificial intelligence to learn from data and simulations from various scientific fields to gain new insights. The team includes experts from institutions such as the Simons Foundation, the Flatiron Institute, New York University, the University of Cambridge, Princeton University, and Lawrence Berkeley National Laboratory. The AI model will learn from numerical data and physical simulations, aiding in modeling phenomena like giant stars and the Earth’s climate.