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As deep neural networks (DNNs) revolutionize machine learning, energy consumption and throughput are emerging as fundamental limitations of CMOS electronics.
A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization
Cauwenberghs, G · 1992
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A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization
Cauwenberghs, G · 1992
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An Overview of the Simultaneous Perturbation Method for Efficient Optimization
Spall, J. C · 1998
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Thermally tunable silicon racetrack resonators with ultralow tuning power
Dong, P · 2010
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Thermally tunable silicon racetrack resonators with ultralow tuning power
Dong, P. et al · 2010
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ImageNet Classification with Deep Convolutional Neural Networks
Krizhevsky, A., Sutskever, I. & Hinton, G. E · 2012
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Low-power 8-bit 5-GS/s digital-to-analog converter for multi-gigabit wireless transceivers
Sedighi, B., Khafaji, M. & Scheytt, J. C · 2012
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Low-Power SiGe BiCMOS Transimpedance Amplifier for 25-GBaud Optical Links
Sedighi, B. & Scheytt, J. C · 2012
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Self-configuring universal linear optical component
Miller, D. A. B · 2013
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Large-scale nanophotonic phased array
Sun, J., Timurdogan, E., Yaacobi, A., Hosseini, E. S. & Watts, M. R · 2013
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Germanium photodetector with 60 GHz bandwidth using inductive gain peaking
Novack, A. et al · 2013
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Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing
Tait, A. N., Nahmias, M. A., Shastri, B. J. & Prucnal, P. R · 2014
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An ultralow power athermal silicon modulator
Timurdogan, E · 2014
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An ultralow power athermal silicon modulator
Timurdogan, E. et al · 2014
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Federated Optimization: Distributed Optimization Beyond the Datacenter
Konečný, J., McMahan, B. & Ramage, D · 2015
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S. & Sun, J · 2016
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Machine Learning Techniques in Optical Communication
Zibar, D., Piels, M., Jones, R. & Schaeffer, C. G · 2016
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Optimal design for universal multiport interferometers
Clements, W. R., Humphreys, P. C., Metcalf, B. J., Kolthammer, W. S. & Walsmley, I. A · 2016
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Mastering the game of Go without human knowledge
Silver, D · 2017
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In-datacenter performance analysis of a tensor processing unit
Jouppi, N. P · 2017
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Deep learning with coherent nanophotonic circuits
Shen, Y · 2017
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Analysis framework for the prompt discovery of compact binary mergers in gravitational-wave data
Messick, C · 2017
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Tunable efficient unitary neural networks (EUNN) and their application to RNNs
Jing, L · 2017
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Attojoule Optoelectronics for Low-Energy Information Processing and Communications
Miller, D. A. B · 2017
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Attojoule Optoelectronics for Low-Energy Information Processing and Communications
Miller, D. A. B · 2017
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In-datacenter performance analysis of a tensor processing unit
Jouppi, N. P. et al · 2017
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A 34Gbaud Linear Transimpedance Amplifier with Automatic Gain Control for 200Gb/s DP-16QAM Optical Coherent Receivers
Ahmed, M. G · 2018
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Training of photonic neural networks through in situ backpropagation and gradient measurement
Hughes, T. W., Minkov, M., Shi, Y. & Fan, S · 2018
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Mixed precision training
Micikevicius, P · 2018
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ImageNet Training in Minutes
You, Y., Zhang, Z., Hsieh, C.-J., Demmel, J. & Keutzer, K · 2018
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Towards Robust Neural Networks via Random Self-ensemble
Liu, X., Cheng, M., Zhang, H. & Hsieh, C.-J · 2018
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Integrated lithium niobate electro-optic modulators operating at CMOS-compatible voltages
Wang, C · 2018
Cited alongside, same era.
A 34Gbaud Linear Transimpedance Amplifier with Automatic Gain Control for 200Gb/s DP-16QAM Optical Coherent Receivers
Ahmed, M. G. et al · 2018
Cited alongside, same era.
Grandmaster level in StarCraft II using multi-agent reinforcement learning
Vinyals, O · 2019
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An 8b 1GS/s 2.55mW SAR-Flash ADC with Complementary Dynamic Amplifiers
Oh, D.-R. et al · 2020
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A graph placement methodology for fast chip design
Mirhoseini, A · 2021
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11 TOPS photonic convolutional accelerator for optical neural networks
Xu, X · 2021
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Parallel convolutional processing using an integrated photonic tensor core
Feldmann, J · 2021
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Efficient and Robust LiDAR-Based End-to-End Navigation
Liu, Z · 2021
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Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
Coelho, C. N · 2021
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Memristive crossbar arrays for brain-inspired computing
Xia, Q. & Yang, J. J · 2019
Cited alongside, same era.
Large-Scale Optical Neural Networks Based on Photoelectric Multiplication
Hamerly, R., Bernstein, L., Sludds, A., Soljačić, M. & Englund, D · 2019
Cited alongside, same era.
Enabling real-time multi-messenger astrophysics discoveries with deep learning
Huerta, E. A · 2019
Cited alongside, same era.
All-optical spiking neurosynaptic networks with self-learning capabilities
Feldmann, J., Youngblood, N., Wright, C. D., Bhaskaran, H. & Pernice, W. H. P · 2019
Cited alongside, same era.
Femtofarad optoelectronic integration demonstrating energy-saving signal conversion and nonlinear functions
Nozaki, K · 2019
Cited alongside, same era.
Matrix Optimization on Universal Unitary Photonic Devices
Pai, S., Bartlett, B., Solgaard, O. & Miller, D. A. B · 2019
Cited alongside, same era.
An optical neural chip for implementing complex-valued neural network
Zhang, H · 2021
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Efficient On-Chip Training of Optical Neural Networks Using Genetic Algorithm
Zhang, H · 2021
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Hardware error correction for programmable photonics
Bandyopadhyay, S., Hamerly, R. & Englund, D · 2021
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Stability of Self-Configuring Large Multiport Interferometers
Hamerly, R., Bandyopadhyay, S. & Englund, D · 2021
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Accurate Self-Configuration of Rectangular Multiport Interferometers
Hamerly, R., Bandyopadhyay, S. & Englund, D · 2021
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Dual slot-mode NOEM phase shifter
Baghdadi, R · 2021
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Reconfigurable photonics with on-chip single-photon detectors
Gyger, S · 2021
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Self-learning Machines based on Hamiltonian Echo Backpropagation
Lopez-Pastor, V. & Marquardt, F · 2021
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Hardware error correction for programmable photonics
Bandyopadhyay, S., Hamerly, R. & Englund, D · 2021
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Stability of Self-Configuring Large Multiport Interferometers
Hamerly, R., Bandyopadhyay, S. & Englund, D · 2021
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Reconfigurable photonics with on-chip single-photon detectors
Gyger, S. et al · 2021
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Dual slot-mode NOEM phase shifter
Baghdadi, R. et al · 2021
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Single-Shot Optical Neural Network
Bernstein, L · 2022
Closest in time.
An on-chip photonic deep neural network for image classification
Ashtiani, F., Geers, A. J. & Aflatouni, F · 2022
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An optical neural network using less than 1 photon per multiplication
Wang, T · 2022
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Delocalized Photonic Deep Learning on the Internet’s Edge
Sludds, A · 2022
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Pai, S · 2022
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Deep physical neural networks trained with backpropagation
Wright, L. G · 2022
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Microcomb-driven silicon photonic systems
Shu, H · 2022
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All-optical ultrafast ReLU function for energy-efficient nanophotonic deep learning
Li, G. H · 2022
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URL https://www.analog.com/media/en/technical-documentation/data-sheets/1662fa.pdf
LTC1662 Datasheet (2022) · 2022
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