Tech firms aim to trigger a robot revolution with video of humans doing housework. Gig workers are paid up to $25 an hour to ...

A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform rendering. Their framework provides a solid ...

Service providers must optimize three compression variables simultaneously: video quality, bitrate efficiency/processing power and latency ...

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...

Paying for 4k and tools for Netflix doesn't guarantee a great stream, unfortunately, thanks to some behind-the-scenes ways ...

Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

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 ...

WSJ’s Wilson Rothman played with OpenAI’s Sora app. It made him feel very creative—and very lonely. OpenAI is planning to pull the plug on its Sora video platform, a product it released to great ...

A 9-year-old Texas girl died after accidentally strangling herself during a “blackout challenge” — as her distraught parents warned that the dangerous social media obsession is “not a game.” JackLynn ...

Picture this: You’ve got a great idea. Maybe it’s an app, a tool, or a game. There’s just one problem: You’re not a developer. The gap between idea and execution used to be vast, requiring thousands ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...