The Deployed Data Scientist: MLOps and Analytics in Practice, co-authored by Ankit Anand, Dr. Scott Burk, and Kinshuk Dutta, is helping data professionals address one of the industry’s most pressing ...

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document ...

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

Menell] have shown that AI Large Language Models (LLMs) can fail to correctly distinguish between different instruction ...

Chief Executive Alex Karp’s recent broadside against the frontier model vendors put a knife to the throat of the central ...

If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

Kilpatrick of Google Deepmoind is claiming what we historically thought of as "the model" is no longer just weights — it's a ...

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

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

Model collapse AI training data risk grows as Meta’s Brand Memory ad tools flood the open web with synthetic content, ...