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Multi-wavelength photonics breakthrough performs AI math at light speed

Artificial intelligence grows more demanding every year. Modern models learn and operate by pushing huge volumes of data ...
Ars Technica

Matrix multiplication breakthrough could lead to faster, more efficient AI models

I have the sense that some perspective is missing here. People should remember that every Boomer didn't spring wholly evil from the mind of a mid-1940's supervillain. The father figures of the Boomers ...
Semiconductor Engineering

Neural Networks Without Matrix Math

The challenge of speeding up AI systems typically means adding more processing elements and pruning the algorithms, but those approaches aren’t the only path forward. Almost all commercial machine ...
Santa Clara University

Melman, Aaron

M.Sc. in Applied Mathematics, Technion (Israel Institute of Technology) Ph.D. in Applied Mathematics, Caltech (California Institute of Technology) [1] A. Melman (2023): “Matrices whose eigenvalues are ...