Intel trains neuromorphic chip to detect 10 different odors

guest · Mar 16, 2020

Intel trains neuromorphic chip to detect 10 different odors
March 16, 2020
https://venturebeat.com/2020/03/16/intel-trains-neuromorphic-chip-to-detect-10-different-odors/

Intel and Cornell University today published a joint paper demonstrating the ability of Intel’s neuromorphic chip, Loihi, to learn and recognize 10 hazardous materials from smell — even in the presence of “significant” data noise and occlusion. The coauthors say it shows how neuromorphic computing could be used to detect the precursor smells to explosives, narcotics, polymers, and more.

In the study, which was published this week in the journal Nature Machine Intelligence, the Intel- and Cornell-affiliated researchers describe “teaching” Loihi odors by configuring the circuit diagram of biological olfaction, drawing from a data set consisting of the activity of 72 chemical sensors in response to various smells.

According to Intel, Loihi processes information up to 1,000 times faster and 10,000 more efficiently than traditional processors, and it can solve certain types of optimization problems with more than three orders of magnitude gains in speed and energy efficiency.
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