'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks

As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable ...

Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
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 ...