Memristive floating-point Fourier neural operator network for efficient scientific modeling
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DOI: 10.1126/sciadv.adv4446
Abstract: Emerging artificial intelligence for science (AI-for-Science) algorithms, such as the Fourier neural operator (FNO), enabled fast and efficient scientific simulation. However, extensive data transfers and intensive high-precision computing are necessary for network training, which challenges… read more here.
Keywords: efficient scientific; floating point; fourier neural; neural operator ... See more keywords