Machine learning powers new approach to detecting soil contaminants

A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying hazardous pollutants in soil, even ones that have never been isolated or studied in a lab.

This post was originally published on this site

The Owl Picks