Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

The AI revolution is bringing with it a whole new vocabulary to describe its advances. This glossary will help you stay up-to ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

An artificial intelligence-based deep learning algorithm significantly improves the sensitivity of emergency clinicians in ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

A machine learning algorithm used gene expression profiles of patients with gout to predict flares.

A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” beyond human perception to uncover hidden features in plant roots.