Hours after a Los Angeles jury found that Meta and YouTube harmed a young user by utilizing addictive features, attorneys involved in the case filed suit against DraftKings and FanDuel and accused the ...

Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

The McNeese Cowboys showcased a particular set of skills unique to Cinderellas in last year's first-round upset. Maddie Meyer / Getty Images Anyone can make money in a bull market. It’s when times get ...

Missing out on limited Fortnite skins is frustrating, especially when collabs rotate fast and rarely return. With competitive cups tied to cosmetics, many players worry about skill gaps locking them ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

Researchers are trying to come up with new, better ways to test AI. As a tech reporter I often get asked questions like “Is DeepSeek actually better than ChatGPT?” or “Is the Anthropic model any good?

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.