Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Researchers have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...