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

In January, a team led by Jim Schuck, professor of mechanical engineering at Columbia Engineering, developed a method for ...

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 ...

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 ...

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 ...

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 ...