A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Google’s publicly released “TurboQuant (Turbo Quant)” paper has become a hot topic in the semiconductor industry. This is an ...

A new SAR interpretation method helps reveal the specific sources on three-dimensional targets that correspond to strong ...

LLMs-gone-rogue dominated coverage, but had nothing to do with the targeting. Instead, it was choices made by human beings, over many years, that gave us this atrocity ...

US stocks sold off on Thursday as investors dumped tech stocks and the war in Iran continued to lead markets on a roller ...

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

Those fears came as Micron investors were already concerned about the company's rising capital expenditures and the market's ...

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’s TurboQuant cuts KV cache memory, but Morgan Stanley says cheaper AI inference will boost demand for DRAM/storage.

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