Researchers from Intel and Cornell University trained a neuromorphic chip to learn and recognize the scents of 10 hazardous chemicals. Engadget reports: Using Intel’s Loihi, a neuromorphic chip, the team designed an algorithm based on the brain’s olfactory circuit. When you take a whiff of something, molecules stimulate olfactory cells in your nose. Those cells send signals to the brain’s olfactory system, which then fires off electrical pulses. The researchers were able to mimic that circuitry in Loihi’s silicon circuits. According to Intel, the chip can identify 10 smells, including acetone, ammonia and methane, even when other strong smells are present. And, Loihi learned each odor with just a single sample. That’s especially impressive, the researchers say, because other deep learning techniques can require 3,000 times more training samples to reach the same level of accuracy. The work has been published in the journal Nature Machine Intelligence.
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