Standards, taxonomies, and logical models have been released in initial alpha form, and are intended to help the public ...

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

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

Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it lacks inherent judgment and nuance.

How a pandemic forced one startup to abandon its original business, uncover a hidden infrastructure opportunity and ...

Creating data products is a good way to accelerate delivery, reuse data assets, reduce risks, and manage costs. Standardized ...

New model transforms real-world operational data into trusted facts and trusted facts into learning signals for Physical AI systems ...

Models are just rented, fast-depreciating engines that everyone has access to. Your actual AI moat is the custom data grounding pipeline you build around them.

Raj Ummadisetty and Ken Kurzweil share Netflix's architectural pivot to CloudStream, a repeatable capture, conversion, and ...

We cannot consider the category dog without thinking about a specific image of a dog, or the category triangle without the image of a specific triangle. This Humean idea persists in some corners of ...

Virginia’s first-in-nation data center power tax reflects growing fears that AI infrastructure could raise electricity costs ...

A study of 67 AI models finds enterprises underestimate multi-model failure rates by 2.25x, and offers a free test to check ...