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Recent progress in analog memory-based accelerators for deep learning

Journal of physics. D, Applied physics, 2018-06, Vol.51 (28), p.283001

2018

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Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element

IEEE transactions on electron devices, 2015-11, Vol.62 (11), p.3498-3507

2015

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Diabolo Nanoantenna for Enhancing and Confining the Magnetic Optical Field

Nano letters, 2011-03, Vol.11 (3), p.1009-1013

2011

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Neuromorphic computing using non-volatile memory

Advances in physics: X, 2017-01, Vol.2 (1), p.89-124

2017

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Phase-change memory cycling endurance

MRS bulletin, 2019-09, Vol.44 (9), p.710-714

2019

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Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators

Nature communications, 2023-08, Vol.14 (1), p.5282-5282, Article 5282

2023

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Recent Progress in Phase-Change Memory Technology

IEEE journal on emerging and selected topics in circuits and systems, 2016-06, Vol.6 (2), p.146-162

2016

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Optimised weight programming for analogue memory-based deep neural networks

Nature communications, 2022-06, Vol.13 (1), p.3765-3765, Article 3765

2022

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Fully On-Chip MAC at 14 nm Enabled by Accurate Row-Wise Programming of PCM-Based Weights and Parallel Vector-Transport in Duration-Format

IEEE transactions on electron devices, 2021-12, Vol.68 (12), p.6629-6636

2021

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Access devices for 3D crosspoint memory

Journal of vacuum science and technology. B, Nanotechnology & microelectronics, 2014-07, Vol.32 (4)

2014

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Observation of the Role of Subcritical Nuclei in Crystallization of a Glassy Solid

Science (American Association for the Advancement of Science), 2009-11, Vol.326 (5955), p.980-984

2009

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Nanoscale nuclei in phase change materials: Origin of different crystallization mechanisms of Ge2Sb2Te5 and AgInSbTe

Journal of applied physics, 2014-02, Vol.115 (6)

2014

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Tutorial: Brain-inspired computing using phase-change memory devices

Journal of applied physics, 2018-09, Vol.124 (11)

2018

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A Baseline for Multiple-Choice Testing in the University Classroom

SAGE open, 2021-04, Vol.11 (2), p.215824402110168

2021

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Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices

Frontiers in computational neuroscience, 2021-07, Vol.15, p.675741-675741

2021

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A role for optics in AI hardware

Nature (London), 2019-05, Vol.569 (7755), p.199-200

Burr, Geoffrey W

2019

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Strong Modification of Magnetic Dipole Emission through Diabolo Nanoantennas

ACS photonics, 2015-08, Vol.2 (8), p.1071-1076

2015

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Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part I: Al/Mo/Pr0.7Ca0.3MnO3 Material Improvements and Device Measurements

IEEE journal of the Electron Devices Society, 2018, Vol.6, p.146-155

2018

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Photonic crystal microcavity sensor for ultracompact monitoring of reaction kinetics and protein concentration

Sensors and actuators. B, Chemical, 2009-08, Vol.141 (1), p.13-19

2009

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Equivalent-accuracy accelerated neural-network training using analogue memory

Nature (London), 2018-06, Vol.558 (7708), p.60-67

2018

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Optical horn antennas for efficiently transferring photons from a quantum emitter to a single-mode optical fiber

Optics express, 2013-01, Vol.21 (2), p.1762-1772

2013

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Optimization of Projected Phase Change Memory for Analog In‐Memory Computing Inference

Advanced electronic materials, 2023-06, Vol.9 (6), p.n/a

2023

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Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part II: Impact of Al/Mo/Pr0.7Ca0.3MnO3 Device Characteristics on Neural Network Training Accuracy

IEEE journal of the Electron Devices Society, 2018, Vol.6, p.169-178

2018

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Full vectorial imaging of electromagnetic light at subwavelength scale

Optics express, 2010-03, Vol.18 (6), p.5809-5824

2010

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Noise-Resilient DNN: Tolerating Noise in PCM-Based AI Accelerators via Noise-Aware Training

IEEE transactions on electron devices, 2021-09, Vol.68 (9), p.4356-4362

2021

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Recent progress in analog memory-based accelerators for deep learning

Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element

Diabolo Nanoantenna for Enhancing and Confining the Magnetic Optical Field

Neuromorphic computing using non-volatile memory

Phase-change memory cycling endurance

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators

Recent Progress in Phase-Change Memory Technology

Optimised weight programming for analogue memory-based deep neural networks

Fully On-Chip MAC at 14 nm Enabled by Accurate Row-Wise Programming of PCM-Based Weights and Parallel Vector-Transport in Duration-Format

Access devices for 3D crosspoint memory

Observation of the Role of Subcritical Nuclei in Crystallization of a Glassy Solid

Nanoscale nuclei in phase change materials: Origin of different crystallization mechanisms of Ge2Sb2Te5 and AgInSbTe

Tutorial: Brain-inspired computing using phase-change memory devices

A Baseline for Multiple-Choice Testing in the University Classroom

Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices

A role for optics in AI hardware

Strong Modification of Magnetic Dipole Emission through Diabolo Nanoantennas

Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part I: Al/Mo/Pr0.7Ca0.3MnO3 Material Improvements and Device Measurements

Photonic crystal microcavity sensor for ultracompact monitoring of reaction kinetics and protein concentration

Equivalent-accuracy accelerated neural-network training using analogue memory

Optical horn antennas for efficiently transferring photons from a quantum emitter to a single-mode optical fiber

Optimization of Projected Phase Change Memory for Analog In‐Memory Computing Inference

Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part II: Impact of Al/Mo/Pr0.7Ca0.3MnO3 Device Characteristics on Neural Network Training Accuracy

Full vectorial imaging of electromagnetic light at subwavelength scale

Noise-Resilient DNN: Tolerating Noise in PCM-Based AI Accelerators via Noise-Aware Training

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