Microsoft’s MSFT0.72%increase; green up pointing triangle earnings surge failed to energize investors on Wednesday as it reported higher-than-expected spending on data centers and other AI ...

While I agree with Peter Huntsman’s assessment of the environmental lobby’s hijacking of U.S. energy policy, and the need for restoration of fossil fuel supply, his argument for catering to the energy ...

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 ...

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 ...

Communities in the United States and abroad are increasingly opposing data centre projects due to concerns over energy costs, water shortages, and environmental damage. Activist pressure is reshaping ...

This was the year of the data center, with handfuls of these energy-hungry facilities popping up throughout Texas and nationwide, most with a mission of getting us all closer to a more AI-powered ...

PMP is a regional news service that focuses on government and enterprise reporting in southwestern Pennsylvania. Find out more information on foundation and corporate funders here. Emilia Doda didn’t ...

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 ...

As financial institutions move from experimentation to enterprise-wide adoption, AI is shifting from supporting technology to a driver of innovation and competitive differentiation. According to Tony ...

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 ...