Issue Date: January 23, 2017
Chemists turn to machine learning to get the most out of data
Although chemists are excited by the potential of so-called deep-learning computational tools to make a splash in drug discovery, publishers and others are still looking to squeeze findings out of earlier, less sophisticated versions of these tools. With machine-learning techniques that “teach” themselves with large data sets, they hope to get more out of scientific information, whether in the lab or the classroom.
“It’s about how you make discoveries consumable,” says Conal Thompson, chief technology . . .
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- Chemical & Engineering News
- ISSN 0009-2347
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