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- “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.”
Researchers Design AI Model Capable of Distinguishing Different Odor Percepts