[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Huang et al., 2022 - Google Patents

Feature extraction from images using integrated photonic convolutional kernel

Huang et al., 2022

View PDF
Document ID
12897003448880712908
Author
Huang Y
Huang B
Cheng C
Zhang H
Zhang H
Chen R
Chen H
Publication year
Publication venue
IEEE photonics journal

External Links

Snippet

Optical neural networks are expected to solve the problems of computational efficiency and energy consumption in neural networks. Herein, we experimentally implemented a 2× 2 photonic convolutional kernel (PCK) using four on-chip micro-ring resonators (MRRs) and …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G—PHYSICS
    • G02—OPTICS
    • G02F—DEVICES OR ARRANGEMENTS, THE OPTICAL OPERATION OF WHICH IS MODIFIED BY CHANGING THE OPTICAL PROPERTIES OF THE MEDIUM OF THE DEVICES OR ARRANGEMENTS FOR THE CONTROL OF THE INTENSITY, COLOUR, PHASE, POLARISATION OR DIRECTION OF LIGHT, e.g. SWITCHING, GATING, MODULATING OR DEMODULATING; TECHNIQUES OR PROCEDURES FOR THE OPERATION THEREOF; FREQUENCY-CHANGING; NON-LINEAR OPTICS; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating, or modulating; Non-linear optics
    • G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating, or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour
    • G02F1/21—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating, or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour by interference
    • G02F1/218—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating, or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour by interference using semi-conducting materials
    • G—PHYSICS
    • G02—OPTICS
    • G02F—DEVICES OR ARRANGEMENTS, THE OPTICAL OPERATION OF WHICH IS MODIFIED BY CHANGING THE OPTICAL PROPERTIES OF THE MEDIUM OF THE DEVICES OR ARRANGEMENTS FOR THE CONTROL OF THE INTENSITY, COLOUR, PHASE, POLARISATION OR DIRECTION OF LIGHT, e.g. SWITCHING, GATING, MODULATING OR DEMODULATING; TECHNIQUES OR PROCEDURES FOR THE OPERATION THEREOF; FREQUENCY-CHANGING; NON-LINEAR OPTICS; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating, or modulating; Non-linear optics
    • G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating, or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour
    • G02F1/015—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating, or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour based on semiconductor elements with at least one potential jump barrier, e.g. PN, PIN junction
    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS
    • G02B6/00—Light guides
    • G02B6/10—Light guides of the optical waveguide type
    • G02B6/12—Light guides of the optical waveguide type of the integrated circuit kind
    • G02B6/122—Light guides of the optical waveguide type of the integrated circuit kind basic optical elements, e.g. light-guiding paths
    • G02B6/1221—Light guides of the optical waveguide type of the integrated circuit kind basic optical elements, e.g. light-guiding paths made from organic materials
    • G—PHYSICS
    • G02—OPTICS
    • G02F—DEVICES OR ARRANGEMENTS, THE OPTICAL OPERATION OF WHICH IS MODIFIED BY CHANGING THE OPTICAL PROPERTIES OF THE MEDIUM OF THE DEVICES OR ARRANGEMENTS FOR THE CONTROL OF THE INTENSITY, COLOUR, PHASE, POLARISATION OR DIRECTION OF LIGHT, e.g. SWITCHING, GATING, MODULATING OR DEMODULATING; TECHNIQUES OR PROCEDURES FOR THE OPERATION THEREOF; FREQUENCY-CHANGING; NON-LINEAR OPTICS; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating, or modulating; Non-linear optics
    • G02F1/35—Non-linear optics

Similar Documents

Publication Publication Date Title
Hamerly et al. Large-scale optical neural networks based on photoelectric multiplication
De Marinis et al. Photonic neural networks: A survey
Sunny et al. CrossLight: A cross-layer optimized silicon photonic neural network accelerator
CN109639359B (en) Photonic neural network convolution layer chip based on micro-ring resonator
Mehrabian et al. PCNNA: A photonic convolutional neural network accelerator
US20210357737A1 (en) Large-Scale Artificial Neural-Network Accelerators Based on Coherent Detection and Optical Data Fan-Out
CA3101026A1 (en) Optoelectronic computing systems
Giamougiannis et al. Analog nanophotonic computing going practical: silicon photonic deep learning engines for tiled optical matrix multiplication with dynamic precision
CN112912900A (en) Photoelectric computing system
Peserico et al. Integrated photonic tensor processing unit for a matrix multiply: a review
Gu et al. SqueezeLight: Towards scalable optical neural networks with multi-operand ring resonators
Giamougiannis et al. Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cells
CN112823359A (en) Photoelectric computing system
Gu et al. SqueezeLight: A multi-operand ring-based optical neural network with cross-layer scalability
Vatsavai et al. Photonic reconfigurable accelerators for efficient inference of cnns with mixed-sized tensors
Huang et al. Feature extraction from images using integrated photonic convolutional kernel
Zhang et al. Compact, efficient, and scalable nanobeam core for photonic matrix-vector multiplication
Zhang et al. Redundancy-free integrated optical convolver for optical neural networks based on arrayed waveguide grating
Wang et al. Development and application of an integrated laser-enabled silicon photonic tensor core
Zhu et al. Silicon photonic neuromorphic accelerator using integrated coherent transmit-receive optical sub-assemblies
Filipovich et al. Monolithic silicon photonic architecture for training deep neural networks with direct feedback alignment
Gu et al. O2NN: Optical neural networks with differential detection-enabled optical operands
Xu et al. High-energy-efficiency integrated photonic convolutional neural networks
CN114707629A (en) Matrix calculation method based on light scattering and optical neural network
Xu et al. Optimization of optical convolution kernel of optoelectronic hybrid convolution neural network