20:39
2026-06-19
letsdatascience.com
machine-learning
UC Berkeley Builds Electronic Nose for Food Safety
Researchers at UC Berkeley have developed a 16-element electronic nose chip that combines gas sensors and machine learning to identify food types, spoilage, and allergens, detecting as little as 0.05 …