How AI Learns to Smell with Alex Wiltschko - #771
2026-07-08 · 60 min · episode 771 · 16 entities
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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
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How AI Learns to Smell with Alex Wiltschko - #771
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Feed author/publisher: Sam Charrington
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CEO of Osmo
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Feed author/publisher: TWIML
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CEO of Osmo
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How AI Learns to Smell with Alex Wiltschko - #771
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Feed author/publisher: Sam Charrington
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evidence rules-v4
Feed author/publisher: Sam Charrington
podcasts 1
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appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
How AI Learns to Smell with Alex Wiltschko - #771
Episode description as stored
In this episode, Alex Wiltschko, founder and CEO of Osmo, joins the show to discuss his goal of giving computers a sense of smell and what it takes to build olfactory intelligence.
We explore the science behind smell, from the hundreds of olfactory receptors in the human nose to the challenge of mapping the relationship between molecular structure and odor, ensuring safety regulations are met, and building foundation models for smell. Alex explains how graph neural networks and advanced embedding spaces allow AI to capture the multi-dimensional structure of scents, grouping them into perceptual neighborhoods, and creating a machine learning representation that predicts how molecules smell.
We also cover how Osmo built the largest proprietary olfactory dataset from scratch to train a fleet of predictive models, and how olfactory intelligence could eventually power applications far beyond fragrance, including disease detection, emotion sensing, and consumer devices.
🗒️ Full show notes: https://twimlai.com/go/771.