Machine Learning, Meet Whiskey

Communications of the ACM 

Picking out the differences between high-end whiskeys might be easy for a seasoned Scotch drinker, but until recently, this skill eluded artificial systems. Now researchers at the University of Glasgow have developed an artificial tongue capable of distinguishing between drams of Glen-fiddich, Glen Marnoch, and Laphroaig whiskeys with 99% accuracy. The "tongue" itself consists of tiny gold receptors that measure just 100 nanometers across, or approximately one-thousandth the width of a human hair. When exposed to a liquid, the receptors change color. The researchers measure and track the changes across multiple receptors, then build up a statistical model of a given liquid's attributes.