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.” [ ...

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

Google has unveiled a new memory-optimization algorithm for AI inferencing that researchers claim could reduce the amount of ...

Micron's shares are down after a new algorithm from Google spurred fears that memory demand could slow.

Google LLC and Cohere Inc. today released new artificial intelligence models optimized for audio processing tasks.  The ...

Google says its TurboQuant algorithm can diminish the memory capacity required for operating large language models by a ...

A new artificial intelligence algorithm developed by Google that could reduce demand for memory chips triggered a slump in ...

Sandisk and other memory processor companies have enjoyed strong demand for their products as tech giants have i ...

TurboQuant targets the working memory bottleneck in AI inference, but analysts say the long-term demand picture for chips is ...

The Google Research team developed TurboQuant to tackle bottlenecks in AI systems by using "extreme compression".

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their ...

Bloomberg's Mandeep Singh joins Scarlet Fu on "Bloomberg Markets." Memory chip stocks extended their losses on Thursday after ...