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 ...
Can light perform millions of calculations at once without extra materials? A new optical system shows how this can be done.
A standard digital camera used in a car for stuff like emergency braking has a perceptual latency of a hair above 20 milliseconds. That’s just the time needed for a camera to transform the photons ...
Almost perfect nonlinear (APN) functions play a pivotal role in cryptography, particularly in securing symmetric key algorithms against differential attacks. Their algebraic properties, including ...
Lookup tables and Taylor series are two common methods for interpolating between experimentally gathered data or for generating a known function such as a sine wave. This article proposes a third ...
This study deals with atmospheric tropopause detection by satellite. It is found that incorrect forecasting of the trdpopause height yields a systematic bias in temperature profile estimates which use ...
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
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