Most of the world's information is stored digitally right now. Every year, we generate more data than we did the year before. Now, with AI in the picture, a technology that relies on a whole lot of ...

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 ...

Multiple reports show the data centers used to store, train and operate AI models use significant amounts of energy and water, with a rippling impact on the environment and public health. According to ...

File - In this Tuesday, Oct. 5, 2021, photo, a woman stands at her well at her property on the outskirts of The Dalles, Oregon. She said the water table that her well draws from dropped 15 feet in the ...

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 ...

Starlink says it may also share personal data with partners to help it "develop AI-enabled tools that improve your customer experience.” Joe Supan is a senior writer for CNET covering home technology, ...

The proliferation of data centers in Arizona raises concerns about the strain on the state's water and power resources. Existing and planned data centers in Maricopa County could nearly double the ...

Data center operators and utilities often do not disclose facility-specific energy and water usage data. The Republic built a database to estimate data centers' energy capacity by analyzing air ...

ROANOKE, Va. (WDBJ) - Virginia lawmakers are considering legislation to limit water consumption by data centers. It comes as Google plans to draw an estimated 8 million gallons per day from Carvins ...

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.

Tech companies are building data centers as quickly as possible to run AI. These facilities are controviersial because they use copious amounts of electricity and might tax an electrical grid that in ...

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 ...