Spock smells "the spores" and sees the future.
Smell & Tell | AI, Machine Learning and Smells!
Date: Wednesday, September 20, 2023
Time: 5:30PM-7:30PM
Location: Ann Arbor District Library (Downtown)
Address: 343 S 5th Ave, Ann Arbor, MI 48104
Phone: 734-327-4200
You really need to think like a Vulcan when it comes to prognostication and AI. The future is unknown and as such is subject to fantasy, ideology and cow pies. This is especially true of the intersection of smell, machine learning, and artificial intelligence.
Machines that analyze smells aren't new. The pairing of Gas Chromatography with Mass Spectrometry (GC-MS) was demonstrated in 1955-56 by Dow scientists in Midland, Michigan. The technology, which is used to analyze individual components of complex mixtures in analytical chemistry labs, continues to evolve.
We'll explore eclectic smell terrain and collectively follow our nose to get a better understanding of how humans evaluate smells against the capacity of machines that analyze complex mixtures and their components.
The Smell and Tell series of art+science programming is led by Michelle Krell Kydd, a trained nose in flavors and fragrance who shares her passion for gastronomy, sensory evaluation and the perfume arts on Glass Petal Smoke. Smell & Tell builds community through interactions with flavor, fragrance and storytelling.
Nose-forward reading for this Smell & Tell program:
More than meets the AI: The possibilities and limits of machine learning in olfaction
by Ann Sophie Barwich and Elizabeth A. Lloyd (2022)
Gas Chromatography - Mass Spectrometry
via Dow, Inc. and the American Chemical Society.
