A new 2026 Cadillac Optiq owner in Victoria, British Columbia recently took delivery of their luxury crossover only to notice an unusual detail – the wrong badge was fixed to the rear liftgate. Photos ...
The Signalgate scandal that enveloped US Secretary of Defense Pete Hegseth in March appears to be symptomatic of a wider lax attitude towards the use of non-approved messaging apps by officials and ...
When it comes to hard problems, computer scientists seem to be stuck. Consider, for example, the notorious problem of finding the shortest round-trip route that passes through every city on a map ...
In an era of unprecedented tech hype, one AI startup founder has a warning to those who would follow his footsteps: vibe coding a double-edged sword that makes it trivially easy for competitors to ...
Folks using melatonin supplements as a sleep aid might be putting themselves at risk for future heart problems, a new study says. Adults with insomnia who'd been using melatonin for a year or more had ...
A bipartisan bill could lead to teams being banned from using AI chatbots, in response to parents expressing concerns about inappropriate content ranging from sexual conversations to assistance with ...
The Federal Trade Commission (FTC), in February 2025, launched a request for information seeking public comment about how social media platforms’ “adverse actions” against users and user content may ...
College students are being wrongly accused of using AI to cheat on their assignments by their university — based, in a headache-inducing twist, on the findings of another AI system. A student named ...
The militarization of American cities, including Los Angeles, Portland, and Chicago, has brought home a perverse irony. Throughout the history of the United States, immigrants have come here to escape ...
LOS ANGELES — Victor Wembanyama is doing something wrong. The 7-foot-4 unicorn, still in the early stages of rewriting how basketball is played, just made a move few in the world can. But it’s the ...
Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...