Simulating the nonlinear optical physics that underlies ultrafast laser systems is computationally demanding—a practical ...

C-suite leaders are now navigating what can best be described as the “Age of And,” a period in which organizations must ...

Power MOSFET capacitance isn't a fixed value—it's a highly non-linear function of voltage that standard LCR meters struggle to capture accurately at operating biases. By combining the waveform ...

Researchers investigate how birth weight determines kidney function changes following prolonged physical activity in ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Abstract: Adaptive filters, constrained by a linear filtering framework, often struggle with nonlinear modeling in complex processes. Kernel adaptive filters (KAFs) offer a promising solution by ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

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

Investigating task- and stimulus-dependent connectivity is key to understanding how the interactions between brain regions underpin complex cognitive processes. Yet, the connections identified depend ...

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 ...