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 ...

Merger creates $600-million-revenue data infrastructure company Fivetran CEO Fraser to lead combined company Deal highlights AI-driven data infrastructure demand Oct 13 (Reuters) - Data startups ...

Servers in a data center in 2015. The data-center economy is booming in California, and Gov. Gavin Newsom doesn’t want to slow it down. The governor vetoed a bill on Saturday that would have provided ...

Communities often celebrate data center openings. But for all the benefits state and local officials tout for the massive facilities, they also bring their share of problems — including gobbling up ...

The industry believes AI will work its way into every corner of our lives, and so needs to build sufficient capacity to address that anticipated demand. But the hardware used to make AI work is so ...

Reliance on fossil fuels is almost unavoidable — at least for now. By Evan Gorelick It’s been a big week for A.I. data centers. That means it’s also been a big week for coal and natural gas. Nvidia ...

Scuderia Ferrari Formula One driver Charles Leclerc's name has appeared in a brainwave data breach following an investigation. It is alleged that China might have stolen brainwave data through a focus ...

Artificial intelligence might be booming on paper, but in the real world, there are signs of a major slowdown. In their latest biweekly survey of AI adoption, the US Census Bureau found evidence of an ...

Handling sensitive patient data is a critical responsibility for organizations involved in clinical trials. To meet regulatory requirements, many rely on SDTM mapping—a process that converts raw ...

At the beginning of the month, Tesla was found partly liable in a wrongful death lawsuit involving the death of a pedestrian in Florida in 2019. The automaker—which could have settled the case for far ...

Abstract: Presents corrections to the paper, (Corrections to “Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review”).