Compression algorithms for speech, audio, still images, and video are quite complicated and, more importantly, nearly always lossy. Thus, samples often change dramatically once they’re decompressed.

Compression reduces bandwidth and storage requirements by removing redundancy and irrelevancy. Redundancy occurs when data is sent when it’s not needed. Irrelevancy frequently occurs in audio and ...

Google has introduced a new data compression algorithm, which the company believes will make the Internet faster for all users. Known as Zopfli, the open-source algorithm is said to increase data ...

Google just launched Zopfli, a new open source compression algorithm that can compress web content about 3 to eight 8 more densely (PDF) than the standard zlib library. Because Zopfli is compatible ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

ADCs and DACs are generating a flood of sampled data that are creating high-speed bottlenecks on busses and in networks. Part 1 of this article described the use of compression algorithms that take ...

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...

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 ...