Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

On 30 June 2026, the Financial Conduct Authority (FCA) published a major package of final policy statements and guidance for the UK’s ...

Wix-owned vibe-coding platform Base44 has started rolling out its own AI model — with hopes that it will eventually ...

Zapier reports that AI agent evaluation is crucial for ensuring reliable performance in real-world scenarios, identifying ...

Quality, not access, will define the future of global health. We've developed a platform to improve health-care quality worldwide.

For the last two years, the enterprise AI conversation has largely revolved around experimentation. Could a model answer customer questions? Could it summarize documents? Could it automate workflows?

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

I've spent the last year pressing vendors on the problem of context. AI agents need more: they need real-time organization ...

With every organization currently wondering if their data is sufficient for AI, closing the gap between data ambition and operational reality requires more than just a technical roadmap. It requires ...

We talk to PHP pioneer and Google agentic data cloud vice-president about ensuring agentic quality, including having agents ...