Abstract: The generation of voluminous scientific data poses significant challenges for efficient storage, transfer, and analysis. Recently, error-bounded lossy compression methods emerged due to ...
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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 ...
Kevin Schug explores how molecular encoding bridges chemistry and data science to enhance precision and intelligence in analytical measurements. Molecular descriptors allow molecules to be encoded as ...
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 ...
Artificial intelligence data centers are driving up electric bills in New Jersey and straining local resources, according to a new report. The report from New Jersey Policy Perspective, a nonpartisan ...
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