4.6 Article

Roadmap on emerging hardware and technology for machine learning

Related references

Note: Only part of the references are listed.
Article Engineering, Electrical & Electronic

Photonic Multiply-Accumulate Operations for Neural Networks

Mitchell A. Nahmias et al.

IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS (2020)

Article Chemistry, Physical

Training fully connected networks with resistive memories: impact of device failures

Louis P. Romero et al.

FARADAY DISCUSSIONS (2019)

Article Chemistry, Physical

Training fully connected networks with resistive memories: impact of device failures

Louis P. Romero et al.

FARADAY DISCUSSIONS (2019)

Article Engineering, Electrical & Electronic

Machine Learning With Neuromorphic Photonics

Thomas Ferreira de Lima et al.

JOURNAL OF LIGHTWAVE TECHNOLOGY (2019)

Article Chemistry, Multidisciplinary

Nanoscale Ion-Doped Polymer Transistors

Quentin Thiburce et al.

NANO LETTERS (2019)

Review Chemistry, Physical

Memristive crossbar arrays for brain-inspired computing

Qiangfei Xia et al.

NATURE MATERIALS (2019)

Article Neurosciences

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

Abhronil Sengupta et al.

FRONTIERS IN NEUROSCIENCE (2019)

Article Multidisciplinary Sciences

In-memory computing on a photonic platform

Carlos Rios et al.

SCIENCE ADVANCES (2019)

Article Multidisciplinary Sciences

Probing vacancy behavior across complex oxide heterointerfaces

Jiaxin Zhu et al.

SCIENCE ADVANCES (2019)

Review Nanoscience & Nanotechnology

Nanoscale resistive switching memory devices: a review

Stefan Slesazeck et al.

NANOTECHNOLOGY (2019)

Article Multidisciplinary Sciences

All-optical spiking neurosynaptic networks with self-learning capabilities

J. Feldmann et al.

NATURE (2019)

Article Engineering, Electrical & Electronic

Neuro-Mimetic Dynamics of a Ferroelectric FET-Based Spiking Neuron

Yan Fang et al.

IEEE ELECTRON DEVICE LETTERS (2019)

Article Physics, Applied

Superconducting optoelectronic loop neurons

Jeffrey M. Shainline et al.

JOURNAL OF APPLIED PHYSICS (2019)

Review Multidisciplinary Sciences

Understanding memristive switching via in situ characterization and device modeling

Wen Sun et al.

NATURE COMMUNICATIONS (2019)

Article Physics, Applied

Silicon Photonic Modulator Neuron

Alexander N. Tait et al.

PHYSICAL REVIEW APPLIED (2019)

Article Engineering, Electrical & Electronic

Energy-Efficient Time-Domain Vector-by-Matrix Multiplier for Neurocomputing and Beyond

Mohammad Bavandpour et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2019)

Article Neurosciences

A Swarm Optimization Solver Based on Ferroelectric Spiking Neural Networks

Yan Fang et al.

FRONTIERS IN NEUROSCIENCE (2019)

Article Chemistry, Physical

The chemical physics of sequential infiltration synthesis-A thermodynamic and kinetic perspective

Ruben Z. Waldman et al.

JOURNAL OF CHEMICAL PHYSICS (2019)

Article Multidisciplinary Sciences

Plasmonic nanogap enhanced phase-change devices with dual electrical-optical functionality

Nikolaos Farmakidis et al.

SCIENCE ADVANCES (2019)

Review Physics, Applied

Device and materials requirements for neuromorphic computing

Raisul Islam et al.

JOURNAL OF PHYSICS D-APPLIED PHYSICS (2019)

Article Chemistry, Physical

Ionic modulation and ionic coupling effects in MoS2 devices for neuromorphic computing

Xiaojian Zhu et al.

NATURE MATERIALS (2019)

Article Nanoscience & Nanotechnology

Memristor crossbar arrays with 6-nm half-pitch and 2-nm critical dimension

Shuang Pi et al.

NATURE NANOTECHNOLOGY (2019)

Review Computer Science, Artificial Intelligence

Deep learning in spiking neural networks

Amirhossein Tavanaei et al.

NEURAL NETWORKS (2019)

Article Engineering, Electrical & Electronic

The Next Generation of Deep Learning Hardware: Analog Computing

Wilfried Haensch et al.

PROCEEDINGS OF THE IEEE (2019)

Review Nanoscience & Nanotechnology

Designing crystallization in phase-change materials for universal memory and neuro-inspired computing

Wei Zhang et al.

NATURE REVIEWS MATERIALS (2019)

Article Automation & Control Systems

Reservoir Computing Using Diffusive Memristors

Rivu Midya et al.

ADVANCED INTELLIGENT SYSTEMS (2019)

Article Engineering, Electrical & Electronic

A superconducting thermal switch with ultrahigh impedance for interfacing superconductors to semiconductors

A. N. McCaughan et al.

NATURE ELECTRONICS (2019)

Review Engineering, Electrical & Electronic

Scanning probe microscopy for advanced nanoelectronics

Fei Hui et al.

NATURE ELECTRONICS (2019)

Article Engineering, Electrical & Electronic

A fully integrated reprogrammable memristor-CMOS system for efficient multiply-accumulate operations

Fuxi Cai et al.

NATURE ELECTRONICS (2019)

Article Computer Science, Hardware & Architecture

Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks

Sapan Agarwal et al.

IEEE JOURNAL ON EXPLORATORY SOLID-STATE COMPUTATIONAL DEVICES AND CIRCUITS (2019)

Article Computer Science, Hardware & Architecture

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

Mike Davies et al.

IEEE MICRO (2018)

Article Engineering, Electrical & Electronic

Energy Efficient Superconducting Neural Networks for High-Speed Intellectual Data Processing Systems

Nikolay V. Klenov et al.

IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY (2018)

Article Engineering, Electrical & Electronic

Atomically Thin CBRAM Enabled by 2-D Materials: Scaling Behaviors and Performance Limits

Zhipeng Dong et al.

IEEE TRANSACTIONS ON ELECTRON DEVICES (2018)

Article Materials Science, Multidisciplinary

Ferroelectric hafnium oxide for ferroelectric random-access memories and ferroelectric field-effect transistors

Thomas Mikolajick et al.

MRS BULLETIN (2018)

Article Multidisciplinary Sciences

Equivalent-accuracy accelerated neural-network training using analogue memory

Stefano Ambrogio et al.

NATURE (2018)

Article Chemistry, Physical

Monatomic phase change memory

Martin Salinga et al.

NATURE MATERIALS (2018)

Article Engineering, Electrical & Electronic

Neuro-Inspired Computing With Emerging Nonvolatile Memory

Shimeng Yu

PROCEEDINGS OF THE IEEE (2018)

Article Multidisciplinary Sciences

Zero-static power radio-frequency switches based on MoS2 atomristors

Myungsoo Kim et al.

NATURE COMMUNICATIONS (2018)

Article Multidisciplinary Sciences

Neural-like computing with populations of superparamagnetic basis functions

Alice Mizrahi et al.

NATURE COMMUNICATIONS (2018)

Article Multidisciplinary Sciences

Signal and noise extraction from analog memory elements for neuromorphic computing

N. Gong et al.

NATURE COMMUNICATIONS (2018)

Article Multidisciplinary Sciences

Efficient and self-adaptive in-situ learning in multilayer memristor neural networks

Can Li et al.

NATURE COMMUNICATIONS (2018)

Review Nanoscience & Nanotechnology

Organic electrochemical transistors

Jonathan Rivnay et al.

NATURE REVIEWS MATERIALS (2018)

Article Multidisciplinary Sciences

Ultralow power artificial synapses using nanotextured magnetic Josephson junctions

Michael L. Schneider et al.

SCIENCE ADVANCES (2018)

Article Multidisciplinary Sciences

Big data needs a hardware revolution

NATURE (2018)

Article Multidisciplinary Sciences

Multi-terminal memtransistors from polycrystalline monolayer molybdenum disulfide

Vinod K. Sangwan et al.

NATURE (2018)

Article Multidisciplinary Sciences

Vowel recognition with four coupled spin-torque nano-oscillators

Miguel Romera et al.

NATURE (2018)

Article Multidisciplinary Sciences

Semiconducting polymer blends that exhibit stable charge transport at high temperatures

Aristide Gumyusenge et al.

SCIENCE (2018)

Review Neurosciences

Deep Learning With Spiking Neurons: Opportunities and Challenges

Michael Pfeiffer et al.

FRONTIERS IN NEUROSCIENCE (2018)

Article Engineering, Electrical & Electronic

Fully memristive neural networks for pattern classification with unsupervised learning

Zhongrui Wang et al.

NATURE ELECTRONICS (2018)

Article Computer Science, Artificial Intelligence

An All-Memristor Deep Spiking Neural Computing System: A Step Toward Realizing the Low-Power Stochastic Brain

Parami Wijesinghe et al.

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2018)

Proceedings Paper Engineering, Electrical & Electronic

2D materials: roadmap to CMOS integration

C. Huyghebaert et al.

2018 IEEE INTERNATIONAL ELECTRON DEVICES MEETING (IEDM) (2018)

Review Nanoscience & Nanotechnology

Emerging nanofabrication and quantum confinement techniques for 2D materials beyond graphene

Michael G. Stanford et al.

NPJ 2D MATERIALS AND APPLICATIONS (2018)

Article Engineering, Electrical & Electronic

Resistive random-access memory based on ratioed memristors

Miguel Angel Lastras-Montano et al.

NATURE ELECTRONICS (2018)

Article Engineering, Electrical & Electronic

Directed self-assembly of block copolymers for 7 nanometre FinFET technology and beyond

Chi-Chun Liu et al.

NATURE ELECTRONICS (2018)

Article Engineering, Electrical & Electronic

Analogue signal and image processing with large memristor crossbars

Can Li et al.

NATURE ELECTRONICS (2018)

Article Chemistry, Multidisciplinary

Li-Ion Synaptic Transistor for Low Power Analog Computing

Elliot J. Fuller et al.

ADVANCED MATERIALS (2017)

Article Chemistry, Physical

Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

Zhongrui Wang et al.

NATURE MATERIALS (2017)

Article Optics

Deep learning with coherent nanophotonic circuits

Yichen Shen et al.

NATURE PHOTONICS (2017)

Article Multidisciplinary Sciences

Three-dimensional crossbar arrays of self-rectifying Si/SiO2/Si memristors

Can Li et al.

NATURE COMMUNICATIONS (2017)

Article Multidisciplinary Sciences

Reservoir computing using dynamic memristors for temporal information processing

Chao Du et al.

NATURE COMMUNICATIONS (2017)

Article Multidisciplinary Sciences

Face classification using electronic synapses

Peng Yao et al.

NATURE COMMUNICATIONS (2017)

Article Physics, Applied

Superconducting Optoelectronic Circuits for Neuromorphic Computing

Jeffrey M. Shainline et al.

PHYSICAL REVIEW APPLIED (2017)

Article Multidisciplinary Sciences

On-chip photonic synapse

Zengguang Cheng et al.

SCIENCE ADVANCES (2017)

Article Multidisciplinary Sciences

Charge transport in nanoscale vertical organic semiconductor pillar devices

Janine G. E. Wilbers et al.

SCIENTIFIC REPORTS (2017)

Article Multidisciplinary Sciences

A multiply-add engine with monolithically integrated 3D memristor crossbar/CMOS hybrid circuit

B. Chakrabarti et al.

SCIENTIFIC REPORTS (2017)

Article Multidisciplinary Sciences

Neuromorphic photonic networks using silicon photonic weight banks

Alexander N. Tait et al.

SCIENTIFIC REPORTS (2017)

Article Chemistry, Multidisciplinary

Atomically Thin Femtojoule Memristive Device

Huan Zhao et al.

ADVANCED MATERIALS (2017)

Article Chemistry, Multidisciplinary

Design of Oxygen Vacancy Configuration for Memristive Systems

Rafael Schmitt et al.

ACS NANO (2017)

Article Physics, Fluids & Plasmas

Synchronization dynamics on the picosecond time scale in coupled Josephson junction neurons

K. Segall et al.

PHYSICAL REVIEW E (2017)

Article Chemistry, Multidisciplinary

Designing Strained Interface Heterostructures for Memristive Devices

Sebastian Schweiger et al.

ADVANCED MATERIALS (2017)

Article Nanoscience & Nanotechnology

Nanoscale cation motion in TaOx, HfOx and TiOx memristive systems

Anja Wedig et al.

NATURE NANOTECHNOLOGY (2016)

Article Physics, Applied

Sub-10 nm low current resistive switching behavior in hafnium oxide stack

Y. Hou et al.

APPLIED PHYSICS LETTERS (2016)

Review Engineering, Biomedical

Large-scale neuromorphic computing systems

Steve Furber

JOURNAL OF NEURAL ENGINEERING (2016)

Review Chemistry, Multidisciplinary

A hot tip: imaging phenomena using in situ multi-stimulus probes at high temperatures

Stephen S. Nonnenmann

NANOSCALE (2016)

Article Nanoscience & Nanotechnology

All-memristive neuromorphic computing with level-tuned neurons

Angeliki Pantazi et al.

NANOTECHNOLOGY (2016)

Article Nanoscience & Nanotechnology

Stochastic phase-change neurons

Tomas Tuma et al.

NATURE NANOTECHNOLOGY (2016)

Review Engineering, Electrical & Electronic

CMOS-compatible spintronic devices: a review

Alexander Makarov et al.

SEMICONDUCTOR SCIENCE AND TECHNOLOGY (2016)

Article Engineering, Electrical & Electronic

Recent Progress in Phase-Change Memory Technology

Geoffrey W. Burr et al.

IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS (2016)

Article Multidisciplinary Sciences

Low-temperature growth of layered molybdenum disulphide with controlled clusters

Jihun Mun et al.

SCIENTIFIC REPORTS (2016)

Article Multidisciplinary Sciences

High Density Crossbar Arrays with Sub-15 nm Single Cells via Liftoff Process Only

Ali Khiat et al.

SCIENTIFIC REPORTS (2016)

Article Materials Science, Multidisciplinary

Nanoimprint lithography enables memristor crossbars and hybrid circuits

Qiangfei Xia et al.

APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING (2015)

Article Engineering, Electrical & Electronic

A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 μm CMOS

Junjie Lu et al.

IEEE JOURNAL OF SOLID-STATE CIRCUITS (2015)

Article Nanoscience & Nanotechnology

Gate-tunable memristive phenomena mediated by grain boundaries in single-layer MoS2

Vinod K. Sangwan et al.

NATURE NANOTECHNOLOGY (2015)

Article Optics

Integrated all-photonic non-volatile multi-level memory

Carlos Rios et al.

NATURE PHOTONICS (2015)

Article Multidisciplinary Sciences

Thermal crosstalk in 3-dimensional RRAM crossbar array

Pengxiao Sun et al.

SCIENTIFIC REPORTS (2015)

Article Engineering, Electrical & Electronic

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

Alexander N. Tait et al.

JOURNAL OF LIGHTWAVE TECHNOLOGY (2014)

Article Engineering, Electrical & Electronic

Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations

Ben Varkey Benjamin et al.

PROCEEDINGS OF THE IEEE (2014)

Article Engineering, Electrical & Electronic

The SpiNNaker Project

Steve B. Furber et al.

PROCEEDINGS OF THE IEEE (2014)

Article Engineering, Electrical & Electronic

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

Mitchell A. Nahmias et al.

IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS (2013)

Review Nanoscience & Nanotechnology

Memristive devices for computing

J. Joshua Yang et al.

NATURE NANOTECHNOLOGY (2013)

Article Neurosciences

Finding a roadmap to achieve large neuromorphic hardware systems

Jennifer Hasler et al.

FRONTIERS IN NEUROSCIENCE (2013)

Article Physics, Applied

Resistance-dependent amplitude of random telegraph-signal noise in resistive switching memories

Daniele Ielmini et al.

APPLIED PHYSICS LETTERS (2010)

Article Optics

Recent progress in lasers on silicon

Di Liang et al.

NATURE PHOTONICS (2010)

Article Physics, Fluids & Plasmas

Josephson junction simulation of neurons

Patrick Crotty et al.

PHYSICAL REVIEW E (2010)

Article Engineering, Electrical & Electronic

Phase Change Memory

H. -S. Philip Wong et al.

PROCEEDINGS OF THE IEEE (2010)

Review Chemistry, Multidisciplinary

Redox-Based Resistive Switching Memories - Nanoionic Mechanisms, Prospects, and Challenges

Rainer Waser et al.

ADVANCED MATERIALS (2009)

Article Optics

A high performance photonic pulse processing device

David Rosenbluth et al.

OPTICS EXPRESS (2009)

Article Engineering, Electrical & Electronic

Sub-microwatt analog VLSI trainable pattern classifier

Shantanu Chakrabartty et al.

IEEE JOURNAL OF SOLID-STATE CIRCUITS (2007)

Article Nanoscience & Nanotechnology

CMOL FPGA: a reconfigurable architecture for hybrid digital circuits with two-terminal nanodevices

DB Strukov et al.

NANOTECHNOLOGY (2005)

Review Chemistry, Multidisciplinary

State of understanding of Nafion

KA Mauritz et al.

CHEMICAL REVIEWS (2004)