Indian-origin mathematician Nalini Joshi has become the first mathematician to receive New South Wales’ Scientist of the Year ...

Nalini Joshi, an Indian-origin mathematician, has been named New South Wales’ Scientist of the Year, the first mathematician ...

Abstract: In nonlinear control, barrier Lyapunov function is frequently utilized to handle state constraints; however, a feasibility condition for virtual signals often needs to be verified. In ...

Professors Svetlana Mojsov and Carlos Kenig, among other eminent figures, were selected to win the 48th session of the prize.

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

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 ...

Abstract: Reinforcement Learning is a branch of machine learning to learn control strategies that achieve a given objective through trial-and-error in the environment ...

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 ...

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 ...

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 ...