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

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

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

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

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

Google's new TurboQuant algorithm could slash AI working memory by 6x, but don't expect it to fix the broader RAM shortage ...

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

Google is updating its search algorithm to combat SEO spam, aiming to detect and filter out automated content more effectively alongside other adjustments. In response to user feedback about a decline ...

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.” [ ...

Over the last two years, a series of updates to Google Search amount to a dramatic upheaval to the Internet's most powerful tool, complete with an unprecedented AI feature. Will Google save the web, ...

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 ...