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

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. The algorithms introduced by Google ...

This issue of Transforming Care looks at how employees of health care systems are working to make AI useful while also ...

Learn why Google’s TurboQuant may mark a major shift in search, from indexing speed to AI-driven relevance and content discovery.

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

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.” ...

An SEO crafting a newsletter with AI spotted a hallucination about a March 2026 Google Core Update and decided to publish it as an experiment to see how misinformation spreads. While search marketing ...

Google has explained how a large online flower delivery service ended up getting orders from a Durban florist who went viral ...

AI systems label and score content before ranking. Annotation determines how you’re understood — and whether you compete at all.

Google has unveiled a new memory-optimization algorithm for AI inferencing that researchers claim could reduce the amount of "working memory" an AI model requires by at least 6x. As TechCrunch reports ...

Bitcoin and several other cryptocurrencies use an implementation of ECC called secp256k1. According to Google, its researchers determined that the technology could be broken in a few minutes by a ...