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 ...

Introduces a low-rank-based approach to KV cache compression, one of the key bottlenecks in long-context AISpeeds up attention computation by up to 6.9x and overall generation throughput by up to 3.1x ...

Condense.chat's proxy compresses coding-agent context with two in-house models, cutting token bills by up to 72 percent on deep sessions.

Spread the love“`html 1. Understanding GZIP Compression GZIP compression is a technique that dramatically reduces the size of files sent from your web server to a user’s browser. This compression is ...

Abstract: Context-based adaptive binary arithmetic coding (CABAC) as a normative part of the new ITU-T/ISO/IEC standard H.264/AVC for video compression is presented. By combining an adaptive binary ...

The good kind of memory, for once ...

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SEOUL, South Korea, July 2, 2026 /PRNewswire/ -- Dnotitia Inc. (Dnotitia), a company specializing in long-term memory AI and semiconductor-based AI infrastructure technologies, has released the paper ...

Context windows are becoming a computational bottleneck. The longer an agent runs, the more tokens accumulate from retrieved documents, reasoning traces and conversation history, and the more memory ...

The open-source AI coding assistant is designed for long-running software projects and, according to Xiaomi's own benchmarks and internal evaluation, outperforms Anthropic's Claude Code on several com ...

Levita Health to pursue FDA’s Class I designation for the Uplift device, which aims to relieve fainting and dizziness ...