How machine learning helps MEMS actuators move in perfect lines

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
Design News

Agentic AI Transforms Hardware Engineering by Automating Model Construction & Validation

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.
TMCnet

Malaysia's First Large Language Model based Synthetic Data Intelligence Platform with Agentic function, AxxonAI launched with healthcare partner Sancy Berhad

AxxonAI, developed by Athenatech.ai, a Malaysia Digital –certified company, is a next-generation synthetic GenAI platform that empowers organisations to maximise the value of their data—without ...

AI Era Requires Continuous Tax and Finance Transformation

Tax and finance must constantly evolve to leverage AI, improve data quality, and meet changing regulatory demands in the AI era.
Scientific Research Publishing

Alzheimer’s Disease: Modeling the Effect of Daily Steps ()

Gregory, J.M. (2026) Alzheimer’s Disease: Modeling the Effect of Daily Steps . Journal of Behavioral and Brain Science, 16, ...
EurekAlert!

Making light “think” in negatives: A fully real-valued optical chip for generative model

Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

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 ...
C&EN

Reinforcement Learning-Based Nonlinear Model Predictive Controller for a Jacketed Reactor: A Machine Learning Concept Validation Using Jetson Orin

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...
IEEE

A Low-Complexity and Reconfigurable Design for Nonlinear Function Approximation in Transformers

Abstract: Nonlinear function approximation plays a critical role in the area efficiency and accuracy of transformer-based hardware accelerators. Functions such as softmax, GELU, SiLU, and layer ...
Frontiers

Vitamin C intake and cognitive function in older U.S. adults: nonlinear dose–response associations and effect modification by smoking status

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, ...