We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...

Control's collection of resources to help with digital twin education and implementation, from Aveva, Nvidia and more ...

Autonomous network operations are transforming telecom Industry, enabling AI-driven visibility, automation and resilience to ...

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

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

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

Industrial AI is moving toward applications, as manufacturers concentrate investment where realized value is greater.

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

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

A great balance between functionality and privacy.

AI-driven material development and new additive manufacturing technology are accelerating new aluminum alloy, battery, and material processing innovations.

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.