David Moss
3 papers in the PaperMetrix corpus
Papers by this author
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11 Tera-FLOP/s photonic convolutional accelerator and deep learning optical neural networks
2021 · Research Square
Abstract Convolutional neural networks (CNNs), inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to greatly reduce the network parametric complexity …
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Optical neuromorphic processing with Kerr microcombs: Scaling the network in size and speed to the PetaOp regime
2022
Convolutional neural networks (CNNs), inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to greatly reduce the network parametric complexity and …
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Neuromorphic photonic computing based on wavelength-division multiplexing
2022
Optical neural networks (ONNs), or optical neuromorphic hardware accelerators, have the potential to dramatically enhance the computing power and energy efficiency of mainstream electronic processors, due to their ultra-large bandwidths of up to 10’s of …