A deal to use Google’s TPUs for Meta’s AI models could be worth billions and eat into Nvidia’s dominant market share.

For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...

As organizations enter the next phase of AI maturity, IT leaders must step up to help turn promising pilots into scalable, ...

Cybersecurity researchers have uncovered a chain of critical remote code execution (RCE) vulnerabilities in major AI ...

Animals survive in changing and unpredictable environments by not merely responding to new circumstances, but also, like ...

Nvidia (NVDA) said leading cloud providers are accelerating AI inference for their customers with the company's software ...

The global collaboration expands to Asia-Pacific, enabling Philippine organizations to meet compliance and low-latency ...

The ability of these devices to access aspects of a person’s innermost life, including preconscious thought, raises the ...

Behind the scenes at InfluxData, which turned to its own in-house security monitoring platform, DiSCO, to protect its supply chain.

Google expects an explosion in demand for AI inference computing capacity. The company's new Ironwood TPUs are designed to be fast and efficient for AI inference workloads. With a decade of AI chip ...

New data show that many educators report that middle and high school students struggle with aspects of foundational literacy.

Students learn how to write AI prompts while demonstrating reading comprehension in this middle school classroom.