Core Functionality: Leverages Azure Information Protection (AIP) and AI to automatically scan, classify, and apply protection (encryption) to sensitive data (PII, IP) both at rest (in OneDrive, ...
LONDON, Oct 24 (Reuters) - The British pound was steady on Friday but still headed for a weekly loss against the dollar and the euro as softer-than-forecast inflation data offset Friday's upbeat ...
US consumer inflation continued to heat up last month, but by less than expected, according to official data published Friday, nine days late because of the ongoing government shutdown. However, the ...
According to Sawyer Merritt, Tesla owners drove over 1.3 billion miles using Full Self-Driving (FSD) Supervised in Q3 2025, setting a new quarterly record and averaging 14.1 million miles per day, up ...
The new Copernicus Sentinel-4 mission has delivered its first images, highlighting concentrations of atmospheric nitrogen dioxide, sulfur dioxide and ozone. Despite being preliminary, these images ...
Tempers were on edge on Tuesday afternoon when an Immigration and Customs Enforcement (ICE) vehicle chase terminated in a neighborhood on Chicago's Southeast Side. When Homeland Security officials ...
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 ...
QUANTICO, Va. — President Donald Trump on Tuesday proposed using American cities as training grounds for the armed forces and spoke of needing U.S. military might to combat what he called the ...
New Capabilities Deliver on Simbian’s Vision of Superintelligence for Accelerated Security Simbian®, building Superintelligence for Accelerated Security, today launched its AI Threat Hunt Agent which ...
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 ...
Abstract: Self-supervised learning (SSL) provides a compelling alternative to traditional supervised methods by leveraging large volumes of unlabeled data to learn generalizable feature ...