Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Business schools are redesigning their curricula to produce graduates who interpret machine learning models, and make critical decisions in data-rich environments ...

This course will cover a wide range of machine learning methods, both model-based and algorithmic.

The administration moves quickly to rebut CNN’s report about the Iran strike.