In particular, the reason the algorithm fails is that not enough data repeats to make this compression worthwhile. Even if you use a “real” compression algorithm, they will almost always ...

plug-and-play implementations of all the common data compression algorithms. There are important trade-offs between the degree of compression and the computational resources required to compress and ...

Their proposed method, outlined in a paper published in Nature Machine Intelligence, was found to be significantly more powerful than classical data compression algorithms. "In January 2023 ...

Part 2 benchmarks the compression algorithms. It will be published July 20. Analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) are generating a huge and rapidly growing flood ...

Project Zipline, as Microsoft calls this project, can achieve 2x higher compression ... the algorithm — and its hardware implementation — were specifically tuned for the kind of large data ...

Seventy years ago, a Massachusetts Institute of Technology professor named Robert Fano offered the students in his information theory class a choice: Take a traditional final exam, or improve a ...

Some time ago we wrote here about Samplify Systems, a company producing an unusual and quite efficient suite of data compression algorithms. Today, Samplify will announce a switch in business plans, ...

AlgoTrim actually specializes in data-compression algorithms—specifically, codecs that deal with images and video on mobile platforms. While the company originally provided its software to ...

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 ...