Digitization of Smell

Compared to the visual and auditory senses, which have long since successfully found their way into artificial intelligence applications, such as through intelligent image recognition and voice assistants, the sense of smell has been comparatively poorly understood. In order to change that, artificial intelligence plays a crucial role: on the Read more

Learning to Smell: Using Deep Learning to Predict the Olfactory Properties of Molecules

Predicting the relationship between a molecules structure and its odor remains a difficult, decades-old task. This problem, termed quantitative structure-odor relationship (QSOR) modeling, is an important challenge in chemistry, impacting human nutrition, manufacture of synthetic fragrance, the environment, and sensory neuroscience. We propose the use of graph neural networks for Read more

Olfactory Perception in Relation to the Physicochemical Odor Space

by Antonie Louise Bierling ,Ilona Croy, Thomas Hummel, Gianaurelio Cuniberti and Alexander Croy  A growing body of research aims at solving what is often referred to as the stimulus-percept problem in olfactory perception. Although computational efforts have made it possible to predict perceptual impressions from the physicochemical space of odors, studies with large psychophysical datasets from non-experts Read more