Researchers Design AI Model Capable of Distinguishing Different Odor Percepts
Brandon McGee
“Recently, a team of scientists from University of California, Riverside managed to create an AI capable of distinguishing smells from one another based on the chemical makeup of the odor in question.
The human nose contains approximately 400 olfactory receptors (ORs) that are activated when chemicals enter the nose.
As Phy.org reported, Ray explained that researchers attempted to model human olfactory percepts through a combination of machine learning algorithms and chemical informatics.
According to the researchers, the OR activity could be used to correctly predict the percepts of 146 different chemicals.”
