Abstract: Large language models (LLMs) demonstrate outstanding performance on general natural language processing tasks but face persistent challenges in knowledge-intensive domains: hallucinations ...

Progress against fraud depends on shared accountability, a common language for risk tolerance and ongoing feedback loops.

Abstract: As key components of rotating machinery, bearings continually encounter new fault classes in industrial applications. However, the existing deep learning-based diagnosis methods are limited ...

Although there’s broad agreement that AI demands high-quality, well-governed data, the research indicates that AI inference data is often poorly governed, inadequately classified and rarely backed up.