Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials.

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 ...

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 ...

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 ...