This Machine Learning Research from Amazon Introduces a New Open-Source High-Fidelity Dataset for Automotive Aerodynamics

One of the most critical challenges in computational fluid dynamics (CFD) and machine learning (ML) is that high-resolution, 3D datasets specifically designed for automotive aerodynamics are very hard to find in the public domain. Resources used often are of low fidelity, not to mention the conditions, making it impossible to create scalable and accurate ML […]

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