High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, sequence design, and live-cell screening together to enable rapid conversion ...

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 ...