Data bias reduces reliability of AI models predicting antimicrobial resistance

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...
pv magazine USA

Machine learning models identify hidden physical defects in solar arrays

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

AI learns to build simple equations for complex systems

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
Tech Xplore on MSN

'Personality test' shows how AI chatbots mimic human traits—and how they can be manipulated

Researchers have developed the first scientifically validated "personality test" framework for popular AI chatbots, and have ...