David Huffman's 1952 algorithm reveals a deep puzzle: the more predictable a message source, the shorter its optimal code.

The deepest compression algorithms don't just shrink data, they learn its hidden structure in real time. This is the elegant ...

Cognition launched SWE-1.7 on Wednesday, the most capable model it has trained, and with it made a specific claim about reinforcement learning that the broader AI research community will be evaluating ...

Could pure AI encoding reinvent compression and make traditional codecs obsolete? Monica Heck examines what the future might look like in the encoding space ...

I write code the way some people solve puzzles — piece by piece, with a mix of curiosity and stubbornness. Here I share the tricks, failures Consider the case of a video frame dominated by a single ...

If you have been trying to beat Wordle every day and failing more often than you would like to admit, science might finally have your back. Researchers at Binghamton University, State University of ...

A high-performance image compression algorithm is crucial for real-time information transmission across numerous fields. Despite rapid progress in image compression, computational inefficiency and ...

Abstract: Data stream is a major data type in modern information equipment such as sensory and video/sound devices, which is fast and continuously generated without any stall cycle. Due to artificial ...

TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...

Abstract: Precise estimation of the probabilistic structure of natural images plays an essential role in image compression. Despite the recent remarkable success of end-to-end optimized image ...