Morning Overview on MSN

Google unveiled TurboQuant, a method that cuts the memory bottleneck slowing large AI models

Companies running large language models face a persistent bottleneck: the memory consumed by key-value caches during ...

Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit

LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.
TechSpot

AMD's neural texture compression could reduce storage and VRAM requirements

Something to look forward to: High-resolution textures are a primary factor behind the growing install sizes and VRAM usage in modern blockbuster games. Nvidia proposed a neural-network-based method ...
EDN

How to evaluate test compression methods

For the past five years, the cost of test has prevailed as the hottest topic in test. During this period, automated test equipment (ATE) has made a dramatic move towards low-cost design for test (DFT) ...
HotHardware

NVIDIA Unlocks Higher Quality Textures With Neural Compression For 4X VRAM Savings

If you read this site, chances are pretty good that you've probably played around with a neural image upscaler at some point. These programs, like the popular "waifu2x", use a pre-trained neural ...
PC Magazine

data compression

There are two categories of data compression. The first reduces the size of a single file to save storage space and transmit faster. The second is for storage and transmission convenience. The JPEG ...