Sept. 4, 2023, 1 p.m. | Greg Uyeno

IEEE Spectrum

Sensory sciences have come a long way in explaining how some physical phenomena—a particular wavelength of light, for example, or a column of air vibrating at a set frequency—correspond to a typical perceptual experience. The sense of smell, however, has proven elusive. Until recently, there was simply no way to take the physical properties of a compound or the structural formula of a molecule and have any sense of what it might smell like.

Using a type of deep learning …

column example experience graph neural networks light maps molecules neural net neural networks scent sense sensory set

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