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 ...

Fastest AI Vision Model for Your Laptop : Liquid AI LFM 2.5

Liquid AI’s LFM 2.5 runs a vision-language model locally in your browser via WebGPU and ONNX Runtime, working offline once ...
Nanowerk

Novel photodetector integrates event sensing and memory for optical processing

(Nanowerk Spotlight) Optical information processing is a critical technology for applications ranging from machine vision to high-speed optical communication. However, current photodetection systems ...
Semiconductor Engineering

Will In-Memory Processing Work?

The cost associated with moving data in and out of memory is becoming prohibitive, both in terms of performance and power, and it is being made worse by the data locality in algorithms, which limits ...