File compression is the process of reducing the size of a file to save space and improve transfer speeds. There are two primary types of compression: lossy and lossless. Lossy compression, often used ...

USC is celebrating America's 250th anniversary with animated digital stamps honoring unsung heroes of computing. These stamps ...

Even before mobile phones started taking photos everywhere, digital images suffered from a very simple problem. They looked ...

In the late 1980s, sharing computer files was a painstaking process. Phil Katz's 1989 invention, the ZIP file format, ...

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 ...

It’s hard to ignore the seismic shifts brought about by algorithm-driven content. Every time you scroll through your social media feed or check your favorite news app, algorithms are diligently at ...

LZ4 is lossless compression algorithm, providing compression speed > 500 MB/s per core, scalable with multi-cores CPU. It features an extremely fast decoder, with speed in multiple GB/s per core, ...

"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 ...

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 ...

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 ...