UCLA builds optical AI processor that computes at the speed of light
UCLA researchers just developed a broadband diffractive optical processor that uses photons instead of electrons to run neural network computations. By processing thousands of light wavelengths simultaneously, it runs massive matrix operations at light speed with near-zero computing power consumption.