Feb 14, 2023

Scientific AI’s Black Box Is No Match for 200-Year-Old Method

Posted by in categories: climatology, mathematics, physics, robotics/AI

Summary: Researchers explain how deep neural networks are able to learn complex physics.

Source: Rice University.

One of the oldest tools in computational physics — a 200-year-old mathematical technique known as Fourier analysis — can reveal crucial information about how a form of artificial intelligence called a deep neural network learns to perform tasks involving complex physics like climate and turbulence modeling, according to a new study.

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