A decade ago, Hassabis's lifelong enduring love of play and AI led to AlphaGo beating the world's deepest board game. The ...

Two entrepreneurs are tackling different sides of Philly’s housing strain: spotting real estate potential and helping homeowners keep aging homes livable.

Google's TurboQuant algorithm significantly reduces memory usage for large language models. Memory chipmakers could face pressure, but investors may be worrying too much. This industry, and one ...

Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs as advertised, it could drastically reduce the amount of memory chips ...

Micron Technology (MU) shares fell to $339 Monday as fears over Alphabet’s (GOOGL) TurboQuant AI memory-compression algorithm raised concerns about long-term demand for high-bandwidth memory across ...

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 ...

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...

Google's internal Agent Smith AI tool automates coding tasks for employees. Cofounder Sergey Brin emphasized the role of AI agents at Google, hinting at a tool like OpenClaw. Google employees are ...

Google has unveiled Vibe Coding XR, an AI-powered workflow that uses Gemini and the XR Blocks framework to build VR/AR prototypes in under 60 seconds. Currently optimized for Android XR and devices ...

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.” ...

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 ...

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 ...