
UC Berkeley researchers built an electric nose that detects gases from spoiled food and allergens more consistently than a human sniff test. The device uses a 16-sensor gas sensor chip with carbon nanotubes operating at room temperature. A machine learning model classifies scent profiles for foods like milk, chicken, and nuts.
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Summary by ByteBrief
Kimba Uses AI and Scents to Improve Sleep