VAST AI OS will leverage NVIDIA libraries to accelerate both compute and data services for RAG, vector search, real-time SQL, ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Great models die in deployment, so we built a golden path that turned weeks of ML friction into days — and unlocked nonstop ...

Evolution of intelligent automation enables enterprises to move beyond observing problems towards autonomously solving them ...

Shanon is an open source AI pentester built on the Claude SDK; runs cost about $60 in API credits, with CI/CD support; ...

'Inheritance through homology' is the most common and generally more accessible approach to function prediction, but orthology should be established where possible to improve confidence in predictions ...