As RAM becomes more constrained and more important, Apple has crafted a system that does more with less—a lot more.

SysMain' was draining my computer's background memory. Here's how to find the biggest culprits behind your sluggish PC.

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost ...

CuerdOS is a unique, Debian-based Linux distribution. This distro offers blazing-fast performance. You'll find an interesting collection of preinstalled software ...

The idea of “catching up” with weed control later in the season may sound appealing, especially when weather or planting windows compress the timing of management decisions. But with aggressive ...

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 ...

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 ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...