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Unconventional Integrated Photonic Accelerators for High-Throughput Convolutional Neural Networks

https://doi.org/10.34133/icomputing.0032

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Photonic Perceptron Based on a Kerr Microcomb for High‐Speed, Scalable, Optical Neural Networks

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The Spike Response Model: A Framework to Predict Neuronal Spike Trains

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Visualizing and Understanding Convolutional Networks

inferredcites →https://doi.org/10.1007/978-3-319-46493-0_32openalex-snapshot

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

inferredcites →https://doi.org/10.1007/s10827-006-0003-9openalex-snapshot

A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields

inferredcites →https://doi.org/10.1016/j.neunet.2017.12.005openalex-snapshot

STDP-based spiking deep convolutional neural networks for object recognition

inferredcites →https://doi.org/10.1016/j.neunet.2018.12.002openalex-snapshot

Deep learning in spiking neural networks

inferredcites →https://doi.org/10.1016/s0042-6989(97)00121-1openalex-snapshot

The “independent components” of natural scenes are edge filters

inferredcites →https://doi.org/10.1016/s0893-6080(01)00083-1openalex-snapshot

Spike-based strategies for rapid processing

inferredcites →https://doi.org/10.1016/s0893-6080(97)00011-7openalex-snapshot

Networks of spiking neurons: The third generation of neural network models

inferredcites →https://doi.org/10.1038/323533a0openalex-snapshot

Learning representations by back-propagating errors

inferredcites →https://doi.org/10.1038/381607a0openalex-snapshot

Emergence of simple-cell receptive field properties by learning a sparse code for natural images

inferredcites →https://doi.org/10.1038/78829openalex-snapshot

Competitive Hebbian learning through spike-timing-dependent synaptic plasticity

inferredcites →https://doi.org/10.1038/d41586-018-06610-yopenalex-snapshot

How to stop data centres from gobbling up the world’s electricity

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Deep learning

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Mastering the game of Go with deep neural networks and tree search

inferredcites →https://doi.org/10.1038/nphoton.2017.93openalex-snapshot

Deep learning with coherent nanophotonic circuits

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Multipurpose self-configuration of programmable photonic circuits

inferredcites →https://doi.org/10.1038/s41467-022-28702-0openalex-snapshot

Space-efficient optical computing with an integrated chip diffractive neural network

inferredcites →https://doi.org/10.1038/s41566-020-00754-yopenalex-snapshot

Photonics for artificial intelligence and neuromorphic computing

inferredcites →https://doi.org/10.1038/s41586-019-1157-8openalex-snapshot

All-optical spiking neurosynaptic networks with self-learning capabilities

inferredcites →https://doi.org/10.1038/s41586-020-03063-0openalex-snapshot

11 TOPS photonic convolutional accelerator for optical neural networks

inferredcites →https://doi.org/10.1038/s41586-020-03070-1openalex-snapshot

Parallel convolutional processing using an integrated photonic tensor core

inferredcites →https://doi.org/10.1038/s41586-020-2764-0openalex-snapshot

Programmable photonic circuits

inferredcites →https://doi.org/10.1038/s41586-020-2973-6openalex-snapshot

Inference in artificial intelligence with deep optics and photonics

inferredcites →https://doi.org/10.1038/s41598-017-07754-zopenalex-snapshot

Neuromorphic photonic networks using silicon photonic weight banks

inferredcites →https://doi.org/10.1038/s41598-018-26927-yopenalex-snapshot

Photonic machine learning implementation for signal recovery in optical communications

inferredcites →https://doi.org/10.1038/s41598-018-30619-yopenalex-snapshot

Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification

inferredcites →https://doi.org/10.1038/s41598-022-08703-1openalex-snapshot

Ultrafast neuromorphic photonic image processing with a VCSEL neuron

inferredcites →https://doi.org/10.1038/s44172-022-00024-5openalex-snapshot

High-speed photonic neuromorphic computing using recurrent optical spectrum slicing neural networks

inferredcites →https://doi.org/10.1038/srep39317openalex-snapshot

Artificial Neuron Based on Integrated Semiconductor Quantum Dot Mode-Locked Lasers

inferredcites →https://doi.org/10.1063/1.3692726openalex-snapshot

Investigation of vertical cavity surface emitting laser dynamics for neuromorphic photonic systems

inferredcites →https://doi.org/10.1063/5.0070992openalex-snapshot

Scaling up silicon photonic-based accelerators: Challenges and opportunities

inferredcites →https://doi.org/10.1073/pnas.1604850113openalex-snapshot

Convolutional networks for fast, energy-efficient neuromorphic computing

inferredcites →https://doi.org/10.1103/physrevlett.112.183902openalex-snapshot

Relative Refractory Period in an Excitable Semiconductor Laser

inferredcites →https://doi.org/10.1103/physrevlett.97.143904openalex-snapshot

Fast Thermo-Optical Excitability in a Two-Dimensional Photonic Crystal

inferredcites →https://doi.org/10.1103/physrevlett.98.153903openalex-snapshot

Excitability in a Quantum Dot Semiconductor Laser with Optical Injection

inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot

Gradient-based learning applied to document recognition

inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot

Going deeper with convolutions

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/icpp.2016.15openalex-snapshot

Performance Analysis of GPU-Based Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/ijcnn.2015.7280696openalex-snapshot

Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing

inferredcites →https://doi.org/10.1109/ijcnn.2016.7727212openalex-snapshot

Unsupervised regenerative learning of hierarchical features in Spiking Deep Networks for object recognition

inferredcites →https://doi.org/10.1109/ijcnn.2017.7966099openalex-snapshot

Multi-layer unsupervised learning in a spiking convolutional neural network

inferredcites →https://doi.org/10.1109/iscas.2010.5536970openalex-snapshot

A wafer-scale neuromorphic hardware system for large-scale neural modeling

inferredcites →https://doi.org/10.1109/jlt.2014.2345652openalex-snapshot

Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing

inferredcites →https://doi.org/10.1109/jlt.2019.2903474openalex-snapshot

Machine Learning With Neuromorphic Photonics

inferredcites →https://doi.org/10.1109/jlt.2019.2945017openalex-snapshot

Demonstration of Multivariate Photonics: Blind Dimensionality Reduction With Integrated Photonics

inferredcites →https://doi.org/10.1109/jlt.2019.2949133openalex-snapshot

Neuromorphic Photonics With Coherent Linear Neurons Using Dual-IQ Modulation Cells

inferredcites →https://doi.org/10.1109/jlt.2020.3034535openalex-snapshot

128 GSa/s SiGe DAC Implementation Enabling 1.52 Tb/s Single Carrier Transmission

inferredcites →https://doi.org/10.1109/jlt.2021.3066203openalex-snapshot

Review of Silicon Photonics Technology and Platform Development

inferredcites →https://doi.org/10.1109/jlt.2022.3146157openalex-snapshot

Photonic Spiking Neural Networks and Graphene-on-Silicon Spiking Neurons

inferredcites →https://doi.org/10.1109/jproc.2014.2304638openalex-snapshot

The SpiNNaker Project

inferredcites →https://doi.org/10.1109/jproc.2021.3067593openalex-snapshot

Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook

inferredcites →https://doi.org/10.1109/jstqe.2013.2257700openalex-snapshot

A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing

inferredcites →https://doi.org/10.1109/jstqe.2019.2931215openalex-snapshot

Toward Neuromorphic Photonic Networks of Ultrafast Spiking Laser Neurons

inferredcites →https://doi.org/10.1109/jstqe.2019.2941485openalex-snapshot

Photonic Multiply-Accumulate Operations for Neural Networks

inferredcites →https://doi.org/10.1109/jstqe.2019.2945540openalex-snapshot

Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)

inferredcites →https://doi.org/10.1109/mm.2018.112130359openalex-snapshot

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

inferredcites →https://doi.org/10.1109/msp.2012.2205597openalex-snapshot

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

inferredcites →https://doi.org/10.1109/tnnls.2020.3006263openalex-snapshot

Computing Primitive of Fully VCSEL-Based All-Optical Spiking Neural Network for Supervised Learning and Pattern Classification

inferredcites →https://doi.org/10.1113/jphysiol.1959.sp006308openalex-snapshot

Receptive fields of single neurones in the cat's striate cortex

inferredcites →https://doi.org/10.1126/sciadv.aau5759openalex-snapshot

In-memory computing on a photonic platform

inferredcites →https://doi.org/10.1126/science.1254642openalex-snapshot

A million spiking-neuron integrated circuit with a scalable communication network and interface

inferredcites →https://doi.org/10.1126/science.ade8450openalex-snapshot

Experimentally realized in situ backpropagation for deep learning in photonic neural networks

inferredcites →https://doi.org/10.1145/3007787.3001139openalex-snapshot

ISAAC

inferredcites →https://doi.org/10.1145/3020078.3021744openalex-snapshot

FINN

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1145/3079856.3080246openalex-snapshot

In-Datacenter Performance Analysis of a Tensor Processing Unit

inferredcites →https://doi.org/10.1145/359576.359579openalex-snapshot

Can programming be liberated from the von Neumann style?

inferredcites →https://doi.org/10.1201/9781315370590openalex-snapshot

Neuromorphic Photonics

inferredcites →https://doi.org/10.1364/cleo_si.2019.sw3f.7openalex-snapshot

500 GHz Plasmonic Mach-Zehnder Modulator

inferredcites →https://doi.org/10.1364/oe.21.026182openalex-snapshot

Excitability in optically injected microdisk lasers with phase controlled excitatory and inhibitory response

inferredcites →https://doi.org/10.1364/oe.23.025247openalex-snapshot

Optical spike-timing-dependent plasticity with weight-dependent learning window and reward modulation

inferredcites →https://doi.org/10.1364/ofc.2020.t4c.2openalex-snapshot

Micro-Ring-Resonator Based Passive Photonic Spike-Time-Dependent-Plasticity Scheme for Unsupervised Learning in Optical Neural Networks

inferredcites →https://doi.org/10.1364/ol.36.004476openalex-snapshot

Excitability in a semiconductor laser with saturable absorber

inferredcites →https://doi.org/10.1364/optica.408659openalex-snapshot

Massively parallel amplitude-only Fourier neural network

inferredcites →https://doi.org/10.1364/optica.475493openalex-snapshot

Silicon photonic architecture for training deep neural networks with direct feedback alignment

inferredcites →https://doi.org/10.1364/prj.412141openalex-snapshot

All-optical neuromorphic binary convolution with a spiking VCSEL neuron for image gradient magnitudes

inferredcites →https://doi.org/10.1364/prj.413371openalex-snapshot

Experimental study of neuromorphic node based on a multiwaveband emitting two-section quantum dot laser

inferredcites →https://doi.org/10.1371/journal.pcbi.0030031openalex-snapshot

Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity

inferredcites →https://doi.org/10.3389/fnins.2016.00508openalex-snapshot

Training Deep Spiking Neural Networks Using Backpropagation

inferredcites →https://doi.org/10.3389/fnins.2017.00682openalex-snapshot

Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification

inferredcites →https://doi.org/10.3389/fnins.2018.00774openalex-snapshot

Deep Learning With Spiking Neurons: Opportunities and Challenges

inferredcites →https://doi.org/10.48550/arxiv.1808.03303openalex-snapshot

On-Chip Optical Convolutional Neural Networks

inferredcites →https://doi.org/10.7551/mitpress/2526.001.0001openalex-snapshot

Dynamical Systems in Neuroscience

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.photonics.2026.101524openalex-snapshot

APMR-accelerated photonic CNN: Compact nonlinear optical computing with dual-ring resonators

inferred← citeshttps://doi.org/10.1038/s41598-024-75667-9openalex-snapshot

Photonic neuromorphic accelerators for event-based imaging flow cytometry

inferred← citeshttps://doi.org/10.1038/s44172-025-00416-3openalex-snapshot

Photonic neuromorphic accelerator for convolutional neural networks based on an integrated reconfigurable mesh

inferred← citeshttps://doi.org/10.1109/jlt.2024.3421621openalex-snapshot

Reconfigurable Photonic GEMM Based on Phase-Change-Materials and Stochastic Computing

inferred← citeshttps://doi.org/10.1109/jlt.2026.3695890openalex-snapshot

Programmable Optical Spectrum Shapers as Computing Primitives for Accelerating Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1109/jqe.2024.3437353openalex-snapshot

All-Optical, Reconfigurable, and Power Independent Neural Activation Function by Means of Phase Modulation

inferred← citeshttps://doi.org/10.1109/jqe.2024.3471951openalex-snapshot

Pseudo-Random Generator Based on a Photonic Neuromorphic Physical Unclonable Function

inferred← citeshttps://doi.org/10.1364/ome.502179openalex-snapshot

Hybrid photonic integrated circuits for neuromorphic computing [Invited]

inferred← citeshttps://doi.org/10.2139/ssrn.5748072openalex-snapshot

Cascaded All-Pass Microring Photonic CNN: From Linear Interference to Nonlinear Optical Learning

inferred← citeshttps://doi.org/10.34133/icomputing.0690openalex-snapshot

Multi-View Fusion: An Advanced Intelligent Computation for Embodied Agents in IoT-Enabled Insulator Inspection Systems

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