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 ...

Google says its new TurboQuant method could improve how efficiently AI models run by compressing the key-value cache used in LLM inference and supporting more efficient vector search. In tests on ...

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 ...

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 ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

Consumers are increasingly turning to artificial intelligence chatbots for health information, a new report from Rock Health says. Thirty-two percent of respondents in the 2025 Consumer Adoption of ...

The rules of search are changing. And it’s forcing a lot of companies to ask themselves a fundamental question: How do we get noticed now? For two decades, companies have relied on search-engine ...

AI search appears to favor original reporting over republished press release content. Owned newsroom content had more traction on some platforms than wire-distributed versions. The data points to ...

LinkedIn is rebuilding its main feed algorithm via a new ranking system powered by a combination of advanced large language models (LLMs) and graphics processing units (GPUs) designed to take a more ...

Abstract: The 8-puzzle problem serves as a fundamental benchmark for evaluating search algorithm performance in artificial intelligence applications. This paper presents a comprehensive comparative ...