Data centers siphon huge amounts of energy to power artificial intelligence. But their environmental footprint starts to balloon even before the first server switches on due to the immense amount of ...

In these politically divisive times, there’s one thing we all agree on—we don’t want a giant data center in our backyard. Behold, the hyperscale data center! Massive structures, with thousands of ...

On Tuesday, Microsoft announced a new initiative called “Community-First AI Infrastructure” that commits the company to paying full electricity costs for its data centers and refusing to seek local ...

President Trump was right about Microsoft — but he only leaked part of the story. Microsoft is changing its approach to building massive data centers for artificial intelligence, unveiling what it ...

Aimee Picchi is the associate managing editor for CBS MoneyWatch, where she covers business and personal finance. She previously worked at Bloomberg News and has written for national news outlets ...

A massive treasure trove of Instagram user data has just bubbled back up to the surface, and it’s putting millions of accounts back in the crosshairs more than a year after the original leak was ...

Power-hungry data centers risk pushing parts of the U.S. power grid toward failure. Some technology companies are fighting a potential solution: disconnecting the data centers from the grid when ...

BOARDMAN Ore. (KPTV) - More than 30 data centers have been built in Boardman since 2011, adding to water pollution concerns in the rural town of nearly 4,000 people in eastern Oregon. Watch the full ...

The data center industry proliferating through Lackawanna County is headed for the Abingtons in 2026. Ransom Twp. is amending its zoning to define and regulate data centers as it navigates its first ...

Megacities in southern India are attracting enormous investments to help build artificial intelligence infrastructure to serve the world’s most data-hungry country. By Alex Travelli and Pragati K.B.

Abstract: The exact feedback linearization method implies an accurate knowledge of the model and its parameters. This assumption is an inherent limitation of the method, suffering from robustness ...