Jan 13 (Reuters) - Microsoft (MSFT.O), opens new tab on Tuesday unveiled an initiative to curb water usage at its U.S. data centers and limit the impact on the general population from any potential ...

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 ...

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 ...

COWETA COUNTY, Ga. — Massive data centers proposed for metro Atlanta expect to use millions of gallons of water per day. Some of those data centers are planning to use more water than entire Georgia ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

LinkedIn Is Using More User Data Than Ever to Train Its AI. Here's How to Opt Out As of Nov. 3, LinkedIn is now using data from members in the EU, EEA, Switzerland, Canada, and Hong Kong to train its ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

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.

Abstract: Data preprocessing is essential for enhancing the performance of machine learning models which involves key techniques like data cleaning, normalization, and feature selection to mitigate ...

“Courts are adapting the flexible fair-use doctrine to modern technology without rewriting the statute.” The results point toward a single principle: when AI training reproduces a copyrighted work’s ...