New directions for machine learning January 23, 2017 Issue - Vol. 95 Issue 4

Applications such as spam filtering, economic forecasting, and Netflix recommendations are powered by algorithms that allow computers to learn from and make predictions based on vast collections of data. But even as machine learning has purged e-mail inboxes of Vi@gra, the technology has been slower to infiltrate chemistry. As described in this collection of stories, however, the gap is starting to fill. Some researchers are . . .