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 ...

AI data centers require incredible amounts of energy to run. NPR's Planet Money investigates how that demand for power might affect your electric bills. Tech companies invested hundreds of billions of ...

Last month, journalist Karen Hao posted a Twitter thread in which she acknowledged that there was a substantial error in her blockbuster book “Empire of AI.” Hao ...

The explosive growth of data centers could threaten the stability of the electrical grid this winter, according to an industry overseer. Across North America, demand for electricity this winter is ...

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In the world of data centers, ensuring a facility will be online 99.999 percent of the time, is everything. Access to power is the number one priority when developers are trying to figure out where to ...

Dr. Kasy is the author of the book “The Means of Prediction: How AI Really Works (and Who Benefits).” Imagine applying for a job. You know you’re a strong candidate with a standout résumé. But you don ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

The huge demand for energy to power data centers will be a key focus for antitrust regulators in the future, a former top official at the U.S. Justice Department’s trustbusting division said.

This is read by an automated voice. Please report any issues or inconsistencies here. Gov. Gavin Newsom vetoed a bill that would have tracked data centers’ growing water footprint in California. He ...

"Data wrangling" refers to all the manipulations commonly needed to prepare tabular data for visualization or analysis. This could include subsetting the data, manipulating rows and columns, changing ...