A step closer to digitizing the sense of smell: Model describes odors better than human panelists

A main crux of neuroscience is learning how our senses translate light into sight, sound into hearing, food into taste, and texture into touch. Smell is where these sensory relationships get more complex and perplexing. To address this question, a research team are investigating how airborne chemicals connect to odor perception in the brain. They discovered that a machine-learning model has achieved human-level proficiency at describing, in words, what chemicals smell like.

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