This week's Java roundup for January 26th, 2026, features news highlighting: an update on milestone and GA release schedule ...

If Your Data Was Compromised in the 2024 Breach Those impacted by the 2024 breach, known as the AT&T 2 Settlement Class, can submit a claim for one of two payouts. If you lost money due to the hack on ...

If you were a customer of AT&T in 2019 or 2024, you could be eligible to receive up to $7,500 in compensation for two data breaches. Peter is a writer and editor for the CNET How-To team. He has been ...

A new treatment method removes PFAS from groundwater. Researchers from the University of Minnesota and Brown University validate the technique in the field. University of Minnesota professor in the ...

Three Democrats are seeking information from tech firms about the growing energy use of data centers and the utility bills of individuals and other businesses. By Ivan Penn and Karen Weise Three ...

The Montgomery County Commission held a public meeting Monday regarding two proposed data center projects in the county. The meeting was held at Montgomery City Elementary School, according to a news ...

TO DIFFERENT MOTELS IN BOTH OKLAHOMA CITY AND IN KANSAS. WE HAVE TOLD YOU A NUMBER OF OKLAHOMA CITIES ARE KEEPING A CLOSE EYE ON DATA CENTERS. THERE ARE PROPOSALS THAT ARE BEING DISCUSSED ACROSS THE ...

AT&T has reached a proposed $177 million class-action settlement to resolve lawsuits stemming from two major data-breach incidents disclosed in 2024. The deadline for filing claims is December 18. Are ...

AT&T has reached a combined $177 million settlement over two data breaches. And impacted consumers have a little over a month left to file a claim for their chunk of the money. Several lawsuits ...

Alphabet Inc.’s Google plans to invest $40 billion in three new Texas data centers, ramping up its footprint as competitors such as OpenAI and Anthropic PBC map out their own multibillion-dollar bets ...

Abstract: False data injection attacks (FDIA) in smart meters are growing concerns. Conventional detection methods are difficult to be deployed on resource-limited edge devices and insufficiently ...