More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Out of the diabetes patients surveyed, 46% said they would feel more in control of their disease in everyday life if they ...

Digital twins are swiftly transforming the hydropower sector including for real-time monitoring and predictive maintenance at ...

Learn how to implement cryptographic agility in Model Context Protocol (MCP) to protect AI infrastructure against quantum threats with PQC and modular security.

IMAGINiT’s hub-and-spoke platform was created to integrate disparate data to support AI in automation and predictive ...

Pre-configured to identify normal, high-vibration, and unstable motor conditions STMicroelectronics (NYSE:STM)GENEVA, ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...

Artificial intelligence and the internet of things are reshaping enterprise strategy across industries. From predictive ...

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

The new study described this "almost unprecedented rate of increase" in the length of an average day as a quantifiable ...

Entrepreneur Frank Giaoui has spent decades at the intersection of law, technology and economics, and discusses the benefits and risks of using AI in the industry.