Abstract: The distributed data infrastructure in Internet of Things (IoT) ecosystems requires efficient data-series compression methods, as well as the capability to meet different accuracy demands.

HANGZHOU, China, May 21, 2026 /PRNewswire/ -- Hikvision has announced the launch of Guanlan Encoding, an AI-powered video compression technology that delivers 30%–50% average storage savings without ...

Abstract: This paper investigates the problem of improving both robustness and efficiency of video compression under unstable, noisy, or error-prone communication channels. The study proposes an ...

EOQ (Entropy-Optimal Quantization) is a transport compression layer for GGUF model files. It is not a new quantization type. EOQ applies lossless rANS entropy coding on top of existing GGML ...

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OpenZL delivers high compression ratios while preserving high speed, a level of performance that is out of reach for generic compressors. Check out the blog post and whitepaper for a breakdown of how ...

We often hear that “Who remembers the one who comes second?” The term ‘secondary’ is often associated with something less important, isn’t it? But today I tell you the importance of secondary in today ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...