Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

I receive one offering at a time. Some I deny. Some I return…revealed. View Entire Post › ...

Every day humanity creates billions of terabytes of data, and storing or transmitting it efficiently depends on powerful compression algorithms. This video explains the core idea behind lossless ...

These HBO series find their footing and evolve into must-watch shows after a strong but sometimes uneven first season, from ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that ...

Traditional lossy compression algorithms like JPEG are not data-specific and may not achieve the best possible compression rates for datasets where images are semantically related. This project ...

You might be staring at your SEO checklist in disbelief right now. Rightfully so. You’re already optimized the metadata, headers, internal links, copy, and even done some technical setup for every ...

Abstract: We propose a new algorithm for the compression factor control (CF-CTRL) when the JPEG compression algorithm is used. It can be used, for example, in the digital still cameras (DSCs), where a ...

The discrete cosine transform (DCT) remains a cornerstone of modern image and video compression techniques, enabling the decomposition of visual data into frequency components that can be efficiently ...

Hi,it's a nice work! In paper DFFN part, you described 'Motivated by the JPEG compression algorithm, we introduce a learnable quantization matrix W and learn it by an inverse method of JPEG ...

Abstract: Learning-based image compression algorithms typically focus on designing encoding and decoding networks and improving the accuracy of entropy model estimation to enhance the rate-distortion ...