A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
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Optical system uses diffractive processors to achieve large-scale nonlinear computation
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...
Neural network training could one day require less computing power and hardware, thanks to a new nanodevice that can run neural network computations using 100 to 1000 times less energy and area than ...
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear ...
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
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