With the Windows 8.1 Update, Microsoft shrank the Windows 8.1 install footprint to make it suitable for low-cost tablets with just 16GB of permanent storage, a reduction from the 32GB generally ...

Lossless or lossy: If you have big data, know what type of compression to use Your email has been sent Illustration: Lisa Hornung/iStockPhoto Must-read big data coverage What Powers Your Databases?

In a tiny office in West Palm Beach, Fla., a handful of clunky computers are crunching through a software problem that many consider unsolvable. These are the offices of ZeoSync, a start-up that made ...

With every passing day, Windows 10 becomes more and more intriguing as we learn about new features that leak just beneath the surface. Earlier today, we learned that Microsoft will enable a new ...

Optimizing data compression methods has become more critical than ever for cloud storage, data management, and streaming applications. Working with compressed data reduces network bandwidth, data ...

To save disk space, the Windows 11/10 operating system allows you to compress files and folders. When you compress a file, using the Windows File Compression function, the data is compressed using an ...

Images transmitted over the world wide web are an excellent example of why data compression is important. Suppose we need to download a digitized color photograph over a computer's 33.6 kbps modem. If ...

Microsoft has announced that graphics processor partners Intel, AMD and Nvidia are bringing hardware-accelerated AV1/AVIF video compression to new Windows 10 systems this fall. Unfortunately, these ...

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s ...

Microsoft's Windows 11 23H2 beta has a new image editing and compression feature in Windows Share It's not clear whether this will come to other feature updates other than 23H2 This could make the ...

Data compression is critical to cloud and data streaming applications by reducing data transfer times and storage utilization. But compressing and decompressing data consumes processor resources and ...