FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...

Abstract: Nonlinear networks are often multistable, exhibiting coexisting stable states with competing regions of attraction (ROAs). As a result, ROAs can have complex “tentacle-like” morphologies ...

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 ...

Department of Chemistry, Texas A&M University, College Station, Texas 77843-3255, United States Department of Materials Science and Engineering, Texas A&M University, College Station, Texas 77843-3003 ...

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 ...

1 MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom 2 Department of Psychology and York Biomedical Research Institute, University of York, York, United Kingdom ...

Abstract: Modern advancements in hardware implementation of Deep Neural Networks (DNNs) have underscored the need for efficient and accurate nonlinear activation function approximations to reduce ...

1 The Affiliated Guangzhou Hospital of TCM of Guangzhou University of Chinese Medicine, Guangzhou, China 2 Sleep Research Institute of Traditional Chinese Medicine, Guangzhou Medical University, ...