Speech recognition accuracy benchmarks report low error rates while leaving the most critical words wrong. Researchers now ...

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

Observability OR monitoring, open community work OR enterprise readiness, lexical OR semantic search- Bianca Lewis erases ...

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...

Supply chain AI is shifting from speed to trust, with benchmarking emerging as a critical priority for accuracy, transparency ...

This originally appeared in Thursday’s edition of The A Block, Awful Announcing’s daily newsletter with the latest sports ...

Operational autonomy is quickly becoming one of the defining capabilities of a modern enterprise. As digital estates become ...

AI anthropomorphism is a documented crisis in LLM science: a new Microsoft paper found more than half of 300 studies assumed ...

With the advent of AI-mediated APIs, the era of manually hard-coding every integration between every microservice may be ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Open-Source AI Tools while not widely publicized, are highly regarded within the developer community for their ability to simplify complex tasks ...