Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...

We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way ...

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...

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 ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

AI has a growing memory problem. Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 paper, TurboQuant is an advanced compression ...

A Ruby port of lz-string - a string compression algorithm with support for multiple encodings (base64, URI, UTF16) and seamless JavaScript interoperability ...

Add Yahoo as a preferred source to see more of our stories on Google. What Happened: This is pretty wild. There’s an AI-generated singer named Xania Monet who just became the first-ever artificial ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The processing of chemical information by computational intelligence methods faces the ...