What's New: In a joint paper published in Nature Machine Intelligence, researchers from Intel Labs and Cornell University demonstrated the ability of Intel's neuromorphic research chip, Loihi, to learn and recognize hazardous chemicals in the presence of significant noise and occlusion. Loihi learned each odor with just a single sample, without disrupting its memory of previously learned scents. It demonstrated superior recognition accuracy compared with conventional state-of-the-art methods, including a deep learning solution that required 3,000 times more training samples per class to reach the same level of classification accuracy.
How a Computer Chip Can Smell without a Nose
The Future of Neuromorphic Computing: Nabil Imam, Intel Senior Research Scientist, Explains Neuromorphic Computing
Our Expert: Nabil Imam, a senior research scientist in Intel Labs’ neuromorphic computing group, works with olfactory neurophysiologists at Cornell University. “My friends at Cornell study the biological olfactory system in animals and measure the electrical activity in their brains as they smell odors,” explains Imam, who has a doctorate in neuromorphic computing. “On the basis of these circuit diagrams and electrical pulses, we derived a set of algorithms and configured them on neuromorphic silicon, specifically our Loihi test chip.” Loihi is Intel’s neuromorphic computing chip that applies the principles of computation found in biological brains to computer architectures.