As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

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

NVIDIA introduces Halos for Robotics, which it calls the industry's first full-stack safety system for physical AI and robots ...

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 ...

China’s LineShine tops the 2026 supercomputer list, but the AI race still runs through GPUs, cloud giants, and data centres.

Security for AI agents increasingly resembles the trust infrastructure that underpins today’s internet, confidential ...

Fault-tolerant quantum simulation just got 250 times cheaper to run. QuEra Computing and Los Alamos published an architecture ...

Quantum light sources may be closer to practical use: researchers at the University of Technology Sydney demonstrated that ...

It’s been difficult to avoid artificial intelligence (AI) at UW this year. The university’s rapid embrace of the technology has been met with even louder debate. But amidst the hum of AI ...

Artificial intelligence is rapidly shifting from the cloud to the devices we use every day. The first wave of generative AI ...

Roese's predictions: stronger AI governance, better data management, agentic AI infrastructure, resilient AI factories, and ...

A quiet transformation is unfolding in the way scientists design the materials that power modern technology. From faster ...