Researchers highlight inference driving most AI energy use, urging accurate measurements over rough estimates.

North Carolina faces a challenge balancing rising electricity bills with surging demand for power from big projects like data centers.

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

KIOXIA America, Inc. today announced that it has begun shipping evaluation samples(1) of embedded flash memory compatible with the next-generation UFS standard, UFS 5.0, which is currently being ...

AI Accelerator: Operating as a high-velocity innovation engine, testing bold AI concepts continuously across verticals such as agentic workflows, edge AI, and beyond – with the goal of rapidly ...

From the Winter Olympics to the FIFA World Cup and annual sporting events, there is no shortage of excitement for sports fans in 2026. Those who get excited about technology and the business side of ...

Every device that touches the internet leaves tiny digital breadcrumbs behind. Chief among them is the IP address, a string of numbers that acts like the mailing label of your connection. With a ...

Transition from reactive quality assurance to proactive quality engineering by embedding shared responsibility throughout the ...

By relying on the most basic of human activities — walking — immersive VR experiences in China have created a major new form of entertainment.

BSD support improves, FreeBSD eyes a desktop option, and the init wars refuse to die The latest KDE desktop environment is out. Among other things, it comes with a pledge that it won't require systemd ...

From the editorial: "As maddening as the NDAs and secrecy have been, ... saying 'no' now, without even hearing a specific proposal, would be shutting ourselves off to a potential boon." ...

Virtual technologies like VR headsets, immersive trainers and online learning platforms are teaching Marines more efficiently, saving both time in training days and money in reduced travel, according ...