Listen up, flyers: United Airlines said it will start removing passengers from flights who refuse to wear headphones while listening to content on their personal devices, and such behavior could lead ...

From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...

Every so often, an unexpected household staple gets discovered as a workhouse cleaning product. Lately, that item seems to be Irish Spring soap. Turns out, that classic green bar can be a surprisingly ...

With so much data stored on ephemeral mediums like hard drives and magnetic tape, what will remain of our civilization in the millennia to come? Thanks to an innovation from Microsoft researchers, the ...

AUSTIN (KXAN) — Utility regulators in Texas will start asking data centers and crypto-mining operations statewide within a narrow timeframe to share information about how much water they’re using and ...

Feb 10 (Reuters) - Microsoft (MSFT.O), opens new tab is exploring using superconducting power lines in its data centers, which could potentially accelerate its massive U.S. build-out of the server ...

Water consumption by data centers and cryptomining facilities will be the focus of a new data-collection effort launched Friday by the Texas Public Utility Commission. Demand to build new data centers ...

Driven by the artificial intelligence frenzy, Microsoft is internally projecting that water use at its data centers will more than double by 2030 from 2020, including in places that face shortages.

According to its new privacy policy, TikTok now collects more data on its users, including their precise location, after majority ownership officially switched to a group based in the US. It's easy to ...

The process of moving an artificial intelligence prototype to production has a lot of moving parts and can get bogged down quickly. To break up this logjam, database services provider MongoDB Inc.

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...