Tamar Toledano Explains Why Edge Computing Could Make Artificial Intelligence More Efficient SAN FRANCISCO, CA / ACCESS ...

Qualcomm is gearing up to transform itself into an Agentic AI Infrastructure company. We look into what that means, and its upcoming DragonFly AI Server chip ...

Hybrid systems could bring efficiency gains at the edge, but conventional infrastructure isn't going anywhere fast ...

Another generation of Lenovo's powerhouse tower PC delivers plenty of performance and style, but it doesn't fully address its ...

As the AI computing race accelerates and semiconductor manufacturing capacity is increasingly redirected toward advanced ...

Confidential computing (CC) emerges as an important solution, utilizing hardware-rooted Trusted Execution Environments to ...

Leading silicon and software vendors are converging on a few practical edge platforms that manage and govern agentic AI operating in the physical world.

In 2026, prediction systems are evolving less because of changes in user behavior and more because of improvements in the technology underneath them. Better data pipelines, faster computing, and more ...

New ultra-low SWaP payload marks an engineering milestone by delivering video over wireless channels traditionally considered ...

Locking down hardware allows AI models — and the data they hold — to be protected from hackers by allowing access only to ...

Texas Instruments (TI) is expanding its focus on embedded artificial intelligence (AI), connectivity and long-term product ...

Classical computing gave us automation. What's coming next is something closer to a factory that thinks. But getting there requires two technologies converging in a way that many might not fully ...