As hospitals move from AI experimentation to enterprise deployment, many are discovering that fragmented, poorly governed ...

Researchers at Newcastle University have carried out the first comprehensive modeling of glacial lake outburst flood (GLOF) ...

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

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

Many AI initiatives fail not because of poor technology but because organizations lack shared definitions, context and ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Anthropic’s Claude Sonnet 5 brings agentic AI features to more users, but pricing, reliability, and power-user doubts ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Nvidia launched a revenue-sharing model with AI cloud partners Sharon AI and Firmus, combining GPU sales with recurring cloud ...

Sean Darby from Mizuho Securities also discusses the El Nino impact on AI buildout and highlights the cost pressure coming ...

Basque startup Sherpa.ai has raised $18m from US investor Forgepoint for federated-learning AI that trains models without sharing sensitive data.

Sysdig says JADEPUFFER used CVE-2025-3248 in Langflow to automate intrusion, credential theft, encryption, and data wipe.