Salesforce’s acquisition of Informatica shifts the data foundation from being strategic to more structural, as the customer ...

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 ...

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

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 ...

When an AI agent encounters conflicting data, it resolves it by making an inference that seems sensible but is actually ...

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 ...

Apple is introducing a new version of its system-level RAW image processing engine that uses machine learning to greatly ...

Labor is pivoting to heavy AI regulation as a new safety agency targets extreme frontier risks such as bioweapons and mass ...

The Albanese government and global tech giants remain locked in a stalemate over law changes that would enable them to train ...

An examination of the trade secret risks posed by the integration of generative AI (GenAI) and agentic AI into core business ...