AI Models that Smell | Quanta Magazine (10/12/23)

“In a paper first posted on the preprint server in July, they described using machine learning to tackle a long-standing challenge in olfactory science.”

Image Credit: Kristina Armitage, Quanta Magazine

Lex Wiltschko, an olfactory neuroscientist, used machine learning to better understand the sense of smell. In a paper, Wiltschko and his colleagues from Google Research Brain Team described using machine learning to improve their ability to compute the smell of a molecule from its structure. Wiltschko’s hypothesis was simple: Perhaps chemicals that smell similar are not just chemically related, but biologically related as well. Their findings revealed a hidden order in how our perceptions of smells correspond to the chemistry of the living world.

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