200-Year-Old Math Opens Up AI’s Mysterious Black Box - IEEE Spectrum
spectrum.ieee.org · 1,043 words · saved by 1 readers
Fourier analysis provides ideas on how to quickly train more accurate neural networks
Whether it’s designing microchips or dreaming up new proteins, sometimes it seems like neural networks can do anything. Infamously, however, these brain-inspired artificial intelligence (AI) systems work in mysterious ways, raising concerns that what they are doing might not make any sense. New research suggests that 200-year-old math could help shed light on how neural networks perform complex tasks such as predicting climate or modeling turbulence, a new study finds. This in turn could help boost the accuracy of neural networks and the speed at which they learn, researchers say. In…
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