Feb 14, 2023
Scientific AI’s Black Box Is No Match for 200-Year-Old Method
Posted by Dan Breeden 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.