According to a recent report by the MIT Technology Review website, the research team at Princeton University in the United States has developed the world's first silicon photonic neuromorphic chip and has proved that it can increase the computing speed by nearly 2000 times.
The research team etched each node of the new chip in the form of a mini circular waveguide into a silicon base, allowing light to circulate through it. When light is input to the node, the output of the laser operating at the node threshold is modulated, and the output of the laser is fed back to the node, creating a feedback circuit with non-linear features. With regard to the extent to which this nonlinear behavior mimics neural behavior, researchers have demonstrated that its output is mathematically equivalent to a "continuous-time recurrent neural network." Researchers used a network of 49 photon nodes to simulate the neural network and used it to solve the mathematical problems of differential equations. They found that this silicon photon neuromorphic chip can compare the arithmetic Speed ​​up 1960 times.
This result makes the neuromorphic chip speed has been significantly improved, help to promote facial recognition, object recognition, natural language processing, machine translation and other artificial intelligence technology development.
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