As cloud computing becomes more common, businesses have had to contend with the challenge of protecting sensitive data during processing. Confidential computing addresses this by keeping data in use ...

For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...

A huge upswing in the number of data centers worldwide shows no signs of slowing down, prompting Big Tech to consider how best to power the artificial intelligence revolution. Some of the options on ...

The race to build artificial intelligence is driven by little silicon chips called GPUs, which were originally created for video games. A drawing of a GPU chip Tech companies are now packing GPUs — ...

A spike in electricity demand from the world’s big data providers is raising a worrying possibility for the world’s climate: a near-term surge in fossil-fuel use. Utilities, power regulators and ...

With the exponential growth of digital data and the limitations of conventional silicon-based storage and computing technologies, bio-inspired, DNA-driven computing and information storage has emerged ...

Judging by state and local filings alone, the U.S.' data center computing capacity could jump by close to 1,000% if all projects currently planned come to fruition.

For the fourth time this century, UC San Diego has a new school on its La Jolla campus. The latest addition is expanding the university’s focus on artificial intelligence and computer science. The ...

Divya Mahajan owns shares in Google, AMD, Microsoft, and Nvidia. She receives funding from Google and AMD. Artificial intelligence is growing fast, and so are the number of computers that power it.