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

Thomson Reuters’ AI approach shows why trusted outputs depend on authoritative data, rigorous governance, and domain ...

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 ...

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

Indian AI startups, have been using open-weight models to build enterprise AI applications for some time. Mint explains why.

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

If you lead a creative team, in marketing, in film or in advertising, three concrete moves this quarter will compound for ...

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

Eighty-eight percent of data-center executives interviewed in North America see islanding during outages as a competitive ...

In places with unreliable networks and no data center infrastructure, smaller is better ...

In addition to the examples, Google also has Elo scores from Arena.ai ready to go, showing that users rate Nano Banana 2 Lite ...

AI systems create value only when they can work with reliable business data. A predictive model trained on incomplete transaction records, a chatbot connected t ...