AI risk findings highlight chaotic failures over goal-driven behavior; majority voting and rollback cut variance by aggregating multiple outputs.

The following six machine learning models were developed to predict ADH upgrade from core needle biopsy: gradient-boosting trees, random forest, radial support vector machine (SVM), weighted K-nearest ...

Scientists used a compact AI model to predict how visual cortex neurons respond to images, revealing hidden patterns in perception.