A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...

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 ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

In the development and manufacture of vehicle components and systems, it is often necessary to quickly identify optimal design modifications for mitigating noise and vibration problems to meet the ...

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...