Deep learning device identifies airborne allergens
To identify and measure airborne biological particles, or bioaerosols, that originate from living organisms such as plants or fungi, UCLA researchers have invented a portable device that uses holograms and machine learning.
The device is trained to recognize five common allergens — pollen from Bermuda grass, oak, ragweed and spores from t...
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