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

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.” ...

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 ...

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their memory requirements. Amir Zandieh and Vahab Mirrokni, two of the researchers who ...

Google’s TurboQuant could cut LLM memory use sixfold, signaling a shift from brute-force scaling to efficiency and broader AI ...

Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Media ...

Google LLC and Cohere Inc. today released new artificial intelligence models optimized for audio processing tasks. The search giant’s algorithm, Gemini 3.1 Flash Live, can automate customer service ...

Google's John Mueller said that when it comes to AI Search and the changes that come with that, Google's core search algorithms, spam detection methods, spam policies, and other search systems do not ...

Google's Nikola Todorovic said AI can act "like a kind of a black box" while explaining why machine learning was hard to deploy in Search.

In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...