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

Entrepreneur Frank Giaoui has spent decades at the intersection of law, technology and economics, and discusses the benefits ...

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 ...

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

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

A dimensional engineering specialist and patent holder, he built a measurement and prediction system that supported the iPhone 16 launch at a reported near-perfect manufacturing yield, and now leads s ...

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

In this Q&A, you will learn about some of the technologies and techniques that are making it possible to address advanced packaging challenges.

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

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

Why AI is becoming ldquo;native rdquo; to 5G/6G networks The evolution from 5G to 6G networks represents a dramatic leap in complexity that fundamentally challenges traditional network management ...

Recyclers have little control over commodity prices or inbound material quality—but one domain they can take charge of is their processing efficiency.