Nvidia says it can shrink LLM memory 20x without changing model weights

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.
The Malaysian Reserve

Breaking the 100M Token Limit: EverMind’s MSA Architecture Achieves Efficient End-to-End Long-Term Memory for LLMs

The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory ...

Dow, S&P 500 lower as Middle East tensions escalate, miners lead fallers

Another broad decline in markets as attacks on Gulf energy sites sent energy prices soaring to three-year highs ...

Multiverse Computing pushes its compressed AI models into the mainstream

After compressing models from major AI labs including OpenAI, Meta, DeepSeek and Mistral AI, Multiverse Computing has ...
Blockonomi

Uniswap Price Compression Signals Potential Breakout Toward $5.30

The Uniswap (UNI) price is consolidating within an ascending triangle between $3.80 and $4.10. A clean breakout above $4.10 could trigger a 30% rally toward $5.30 liquidity. Breakdown below $3.80 may ...
IEEE

Efficient Conditional Entropy Coding for Learned Progressive Image and Video Compression

Abstract: Progressive coding adapts to reliable image and video transmission over unstable network with fluctuating bandwidth with truncatable bitstreams produced by layer-wise conditional entropy ...
Cybernews

Malicious campaign targeting vulnerable OpenWebUI servers: technical analysis

During an investigation into exposed OpenWebUI servers, the Cybernews research team identified a malicious campaign targeting vulnerable OpenWebUI servers with cryptocurrency miners and Info Stealers.