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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 ...
A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
Almost perfect nonlinear (APN) functions play a pivotal role in cryptography, particularly in securing symmetric key algorithms against differential attacks. Their algebraic properties, including ...
A new publication from Opto-Electronic Science; DOI 10.29026/oes.2022.210007 overviews functional nonlinear optical nanoparticles synthesized by laser ablation. Nonlinear optics is an important ...
It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better than a strictly linear one. 1 The Kalman filter is a ...
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 ...
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear materials. They realized arbitrary sets of bandlimited nonlinear functions, ...
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