Humans’ noses can be adept at detecting delicate hints of apple or smoke in a glass of whiskey. But with machine learning, computers might also be Whiskey Masters.
By connecting the molecular makeup of 16 different whiskies with their odor profiles, a machine learning algorithm was able to identify the top five flavor notes in each whiskey, matching the flavors noted by a panel of human experts, scientists report December 19 in Communications Chemistry.
The bouquet of a drink is the product of dozens of gaseous molecules wafting up into the air. In the case of whiskey, there are more than 40 compounds that create odors ranging from vanilla
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