Information theory provides the fundamental framework for understanding and designing data compression algorithms. At its core lies the concept of entropy, a quantitative measure that reflects the ...

Coding, information theory and compression constitute the backbone of modern digital communications and data storage. Grounded in Shannon’s seminal work, information theory quantifies the ...

Green, Jerry R., and Jean-Jacques Laffont. "Incentive Theory with Data Compression." In Uncertainty, Information and Communication: Essays in Honor of Kenneth J ...

New research challenges a popular conception of how machine learning algorithms 'think' about certain tasks. New research challenges a popular conception of how machine learning algorithms "think" ...

The act of "zipping" a computer file or directory into a smaller format has become routine, even though the practice may seem like some dark art of wizardry. Compressing a stack of blankets for ...

Information theory addresses the fundamental mathematical limits of communication (error correction), compression, and security, built upon probability theory. This ...

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 ...

Alireza Doostan is leading a major effort for real-time data compression for supercomputer research. A professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at the ...

ABSTRACT.We describe a compression method for floating-point astronomical images that gives compression ratios of 6–10 while still preserving the scientifically important information in the image. The ...

A few weeks ago, I was invited to visit the New York City office of XLABS, a group that claims to have achieved 99% compression for videos being streamed over the Internet. If the claim is valid, its ...