Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...

Colin is an Associate Editor focused on tech and financial news. He has more than three years of experience editing, proofreading, and fact-checking content on current financial events and politics.

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 said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...

Following Broadcom’s acquisition of VMware, Virtified’s research shows that competitors are narrowing the functionality gap even as customers struggle with the complexities of migration.” — Michael ...

SYDNEY, AUSTRALIA, March 26, 2026 /EINPresswire.com/ — Independent IT analyst firm Virtified today launched its inaugural Virtified Loop research, revealing a ...