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Programmable Silicon Photonic Optical Thresholder
Chaoran Huang, Thomas Ferreira de Lima, Aashu Jha +4
We experimentally demonstrate an all-optical programmable thresholder on a silicon photonic circuit. By exploiting the nonlinearities in a resonator-enhanced Mach-Zehnder interfero…
Noise Analysis of Photonic Modulator Neurons
Thomas Ferreira de Lima, Alexander N. Tait, Hooman Saeidi +5
Neuromorphic photonics relies on efficiently emulating analog neural networks at high speeds. Prior work showed that transducing signals from the optical to the electrical domain a…
Takens-inspired neuromorphic processor: a downsizing tool for random recurrent neural networks via feature extraction
Bicky A. Marquez, Jose Suarez-Vargas, Bhavin J. Shastri
We describe a new technique which minimizes the amount of neurons in the hidden layer of a random recurrent neural network (rRNN) for time series prediction. Merging Takens-based a…
Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)
Viraj Bangari, Bicky A. Marquez, Heidi B. Miller +6
Convolutional Neural Networks (CNNs) are powerful and highly ubiquitous tools for extracting features from large datasets for applications such as computer vision and natural langu…
ITO-based Electro-absorption Modulator for Photonic Neural Activation Function
Rubab Amin, Jonathan George, Shuai Sun +8
Recently integrated optics has become an intriguing platform for implementing machine learning algorithms and inparticular neural networks. Integrated photonic circuits can straigh…
Demonstration of multivariate photonics: blind dimensionality reduction with analog integrated photonics
Alexander N. Tait, Philip Y. Ma, Thomas Ferreira de Lima +5
Multi-antenna radio front-ends generate a multi-dimensional flood of information, most of which is partially redundant. Redundancy is eliminated by dimensionality reduction, but co…