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Training AI Agents that Can Actively Control Fluid Dynamics in Energy, Transportation, and Defense
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Training AI Agents that Can Actively Control Fluid Dynamics in Energy, Transportation, and Defense
A platform for training and comparing machine learning models for actively reducing drag, improving lift, cutting noise and managing heat has been launched by an international team that includes researchers at RWTH Aachen University, the University of Washington, University of Michigan Engineering, and the Technical University of Munich.
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