Supervised machine learning uses labeled data to teach algorithms pattern recognition. It improves prediction accuracy in industries like finance and healthcare. Investors can gauge a company's ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

This is crucial, especially for data mesh, where everyone becomes a data user, and metadata, where everyone should access ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

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.

Existing frameworks like the U.S. Environmental Protection Agency’s Energy Star Portfolio Manager provide useful performance ...

Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...

Real-Time Greenhouse Gas Detection Changes Everything New methane-focused satellites became operational in 2024, including ...