Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

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

An ecosystem approach forces broader thinking. It requires cross-functional alignment and discourages short-term technical ...

UD professor's decades-long research helps organizations design transparent, accountable AI systems as new global regulations ...

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

AT&T customers have a new app for managing their accounts, including some parental controls and access to more data.

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

One of the clearest reflections of this shift is the growing focus on AI sovereignty across the continent. At least 16 ...

As AI systems grow more autonomous, observability becomes essential. Learn how visibility into AI behavior helps detect risk and strengthen secure development.

From the “inference inflection point” to OpenClaw’s rise as an agent operating system, Nvidia’s GTC keynote outlined the architecture of the AI factory, spanning Rubin ...

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

Who benefits from artificial intelligence? This basic question, which has been especially salient during the AI surge of the ...