Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

This article reviews the state-of-the-art literature on academic performance predictions using machine learning approaches in recent years. It details the variables analyzed, the algorithms ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Redox flow-based batteries (RFBs) are emerging chemistry-based energy storage devices with modular design, uncoupled energy, and power rating and are increasingly used in microgrid and household ...

Reliably predicting heterogeneous photocatalyst efficiency using machine learning (ML) remains challenging, because of variations in synthesis protocols and evaluation methods. To address this, we ...