MIT 6.S191 (2020): Machine Learning for Scent

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MIT Introduction to Deep Learning 6.S191: Lecture 10
Machine Learning for Scent
Lecturer: Alex Wiltschko (Google Brain)
January 2020

Lecture Outline
0:00 - Introduction
2:55 - Digitizing smell
4:28 - The sense of smell
10:11 - Problem setup
12:58 - Molecule fragrance dataset
16:00 - Baseline algorithms
18:14 - Graph neural networks
21:25 - Molecules to graphs
23:03 - Predicting odor descriptors
25:19 - The odor embedding space
27:58 - Molecular neighbors
30:04 - Generalization
32:34 - Explaining/interpreting predictions
36:49 - Summary and future work

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Not going to lie, I'm pretty excited about this lecture!

voxfox
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This is gonna be like icing on the cake.

rakeshhotker
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What an engaging lecture, really good.

Samuel-wlfw
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Alexander, I love your uploads! <3

MachineLearningJack
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I like being able to smell and all, but the ability to detect chemical composition is so very different from other perceptive abilities like detecting electromagnetic radiation & vibration.

We could potentially take advantage of the neural networks responsible for scent. Think figuring out some very binary system to enhance scent with an extra sensory ability. Perhaps one day we will be "smelling" wavelengths of light outside of our current perceptual ability. As far as my knowledge extends, the olfactory bulb is one of the two areas in the adult human brain that allows for neurogenesis- the other being the hippocampus. We need to examine scent perception through an fMRI and figure out what kind of activity humans and other animals have in response. If we have some fixed actions we may even be able to increase memory association through smell stimulus by administrating chemicals on demand to our brains.

On top of that, it may also help to look at animals with very strong abilities to smell. Perhaps aquatic mammals that more heavily depend on the ability to perceive scents that lead to danger, reproduction, and different foods

I've got plenty of ideas and no money hmu

danielsayre
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It may help to look at smaller creatures in how they detect chemical composition to "smell". Like ants!

danielsayre
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Anyone found the otter thing he mentioned?

ebonilha
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for images, machines are very good at taking in and detecting images/pixels(RGB) en masse
how can machines detect smell in anywhere close to the same scale or accuracy? (for training purposes)

josephwong
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Google took that Google Nose april fool joke too far.

muzammilaziz