The 18GB I freed came with almost no slowdown.

WhatsApp allows users to send high-quality photos and videos over its instant messaging platform. The company added the ...

Spread the loveWe’ve all been there: staring at a file too big to email, or trying to squeeze just one more game onto a ...

In a digital world where storage space can be a precious commodity, knowing how to compress files on Windows is a vital skill. Whether you’re tidying up your desktop, preparing files for email, or ...

"Optimization demands understanding hardware constraints at the silicon level," reflects Shaibujan Thankappan Kamalamma, whose career spans video codec work, streaming systems, and enterprise security ...

Google’s TurboQuant is making waves in the AI hardware sector by addressing long-standing challenges in memory usage and processing efficiency. Developed with components like the Quantized ...

Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating impressive reductions in VRAM use while maintaining texture quality, or even ...

Memory prices are falling, and stock prices of memory companies took a hit, following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing ...

Forbes contributors publish independent expert analyses and insights. Tim Bajarin covers the tech industry’s impact on PC and CE markets. This voice experience is generated by AI. Learn more. This ...

In a blog post published last week, Google announced that its scientists had developed an AI memory-compression algorithm, dubbed TurboQuant. "We introduce a set of advanced, theoretically grounded ...

Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...

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 ...