MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

AI-generated code can introduce subtle security flaws when teams over-trust automated output. Intruder shows how an AI-written honeypot introduced hidden vulnerabilities that were exploited in attacks ...

Over the past years, the author of the cURL project, [Daniel Stenberg], has repeatedly complained about the increasingly poor ...