Russian researchers are using deep learning neural networks to sniff out potential scent-based threats. The technique is a bit dense (as anything with neural nets tends to be), but the gist is that the electronic “nose” can remember new smells and recognize them after the fact.
When the sensor detects a smell, an AI takes over and checks it against a database of known scents for “the closest similar smell determined by the smallest Hamming distance to any know code,” HSE writes. If it can’t find a match, the sensor will identify the scent as being new.
Image: Kali Nine LLC
