Methods And Design Of Optical Neural Network

An optical neural network is constructed based on photonic integrated circuits to perform neuromorphic computing. In the optical neural network, matrix multiplication is implemented using one or more optical interference units, which can apply an arbitrary weighting matrix multiplication to an array of input optical signals. Nonlinear activation is realized by an optical nonlinearity unit, which can be based on nonlinear optical effects, such as saturable absorption. These calculations are implemented optically, thereby resulting in high calculation speeds and low power consumption in the optical neural network.

Researchers

Marin Soljacic / Jacques Johannes Carolan / Mihika Prabhu / Yichen Shen / Nicholas Harris / Dirk R Englund / Scott Skirlo

Departments: Department of Physics, Dept of Electrical Engineering & Computer Science
Technology Areas: Computer Science / Electronics & Photonics
Impact Areas: Uncharted Frontiers

  • apparatus and methods for optical neural network
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  • apparatus and methods for optical neural network
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  • apparatus and methods for optical neural network
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  • apparatus and methods for optical neural network
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    Canada | Published application
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    Australia | Granted | 2,017,273,863

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