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 Why the Database Market Keeps ...

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 ...

Current trends in HTS data generation indicate that storage, transmission and bandwidth costs will soon surpass the costs of sequencing and become the main bottleneck in genomics as well as in the ...

At the core of CompressionX is a proprietary algorithm designed to compress data without loss. Unlike traditional utilities, ...

There are two types of compression that can be applied to files: With lossless compression, files are reduced in size without the loss of data. However, lossless compression does not usually achieve ...

A novel technique rethinks hardware data compression to free up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks simultaneously. A novel technique ...

Lossless data compression of digital audio signals is useful when it is necessary to minimize the storage space or transmission bandwidth of audio data while still maintaining archival quality.

AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats.