It was the veritable search for a needle in a haystack. With drug-resistant bacteria on the rise, researchers at MIT were sifting through a database of more than 100 million molecules to identify a few that might have antibacterial properties.
Fortunately, the search proved successful. But it wasn’t a human who found the promising molecules. It was a machine learning program.
