More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems.

Researchers in China have developed a wearable robot that adds two mechanical legs behind ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine ...

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

AI optimizes injection molding beyond human understanding, creating new challenges for process control and failure recovery.

Abstract: This paper investigates the regulation of a modular renewable energy-integrated hydrogen-ammonia production system comprising a water electrolyzer connected to an ammonia synthesis reactor ...

Oluwaseun Akinola is a Nigerian-born, United States-based chemist and environmental expert. He is currently doing his doctoral programme in environmental ...

Explore how clinical multi-omics integration drives systems medicine, detailing data fusion methodologies and lab ...

Abstract: The technology of autonomous vehicles is advancing rapidly, relying heavily on high-precision simulations and high-performance controllers. This study uses actual driving data to model ...

Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...