Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

The clock is ticking on cryptocurrency.

Google’s TurboQuant could cut LLM memory use sixfold, signaling a shift from brute-force scaling to efficiency and broader AI ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

Micron Technology (NASDAQ:MU | MU Price Prediction) stock is falling 5% in early trading on Monday, trading around $339 after opening at $357.22. That move extends a rough stretch: MU stock has fallen ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

Imad was a senior reporter covering Google and internet culture. Hailing from Texas, Imad started his journalism career in 2013 and has amassed bylines with The New York Times, The Washington Post, ...

Political leanings don't factor into Google's search algorithm. But the authoritativeness of page links that the algorithm spits out and the perception of thousands of human raters do. In a tweet ...