WASHINGTON (AP) — The environmental footprint of data centers already rivals some of the world's largest countries, according to a United Nations University report, which also predicts their water and ...

Australia’s data centre rush now rivals the mining boom. OpenAI chief executive Sam Altman last week said Australia could become a “data centre capital of the world”. This would come at an ...

A new holographic storage technique uses light in three dimensions to dramatically increase how much data can be stored. It encodes information throughout a material using amplitude, phase, and ...

David Pogue is a six-time Emmy winner for his stories on "CBS Sunday Morning," where he's been a correspondent since 2002. Pogue hosts the CBS News podcast "Unsung Science." He's also a New York Times ...

Data centers are popping up across the Lone Star State, and now two new artificial intelligence data center projects totaling nearly $500 million are set for parts of Central Texas. New filings on the ...

Wisconsin is becoming a popular location for data centers due to its climate, water access, and affordable land. The majority of a data center's water footprint comes from the offsite electricity ...

The US federal government’s central energy information agency is planning to implement a mandatory nationwide survey of data centers focused on their energy use, according to a letter seen by WIRED.

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 ...

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, ...

People listen to clergy and faith leaders call for accountability at the site where Renee Good was killed by an ICE agent in Minneapolis on Jan. 8. When it comes to staying informed in Minnesota, our ...

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 ...