Self-configuring optical devices automatically learn how to sort out light

Light can be sculpted into countless shapes. Yet building optical devices that can simultaneously manipulate many different ...
Scientific Research Publishing

Open Flow Controller Architecture for Seamless Connectivity and Virtualization Technologies ()

Nicola, A.A. (2026) Open Flow Controller Architecture for Seamless Connectivity and Virtualization Technologies.
Food Processing

Process Control Solutions Innovate through Digitization, AI and Machine Learning

The computer age — and now the digital revolution — has taken human beings to new heights and greater milestones, and food & beverage processing operations have come along for the ride. Digital ...
Automation World

AI-Driven Motion Control: How Machine Learning Optimizes Motors, Reduces Downtime and Cuts Energy Costs

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.
Automation World

AI In My PID Loops? It’s More Likely Than You’d Expect

Some wonder if AI will replace PID control loops. The reality is that, instead of replacing PID, AI is stepping in to help keep things running smoothly without upending regulatory trust. Think of AI ...
Frontiers

Identification of crosstalk genes and diagnostic biomarkers in systemic sclerosis associated sarcopenia through integrative analysis and machine learning

Background: Sarcopenia associated with systemic sclerosis (SSc) significantly compromises patient prognosis and quality of life. However, reliable diagnostic biomarkers remain lacking. This study ...
Machine Design

How Advanced LED Control Techniques Are Solving Machine Vision’s Toughest Challenges

Advanced LED lighting arrays can spectrally tune their output wavelength to highlight different features and defects in captured images. The capability enables a single light fixture to quickly adapt ...
IEEE

Human–Machine Shared Control for Steer-by-Wire Vehicles Using Improved Reinforcement Learning-Based MPC

Abstract: To enhance the trajectory tracking capability of steer-by-wire (SBW) vehicles while reducing driver’s workload, a human-machine shared control (HMSC) strategy using improved reinforcement ...
C&EN

Efficient Model Predictive Control Implementation via Machine Learning: An Algorithm Selection and Configuration Approach

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...