Towards spike-based machine intelligence with neuromorphic computing

K Roy, A Jaiswal, P Panda - Nature, 2019 - nature.com
Guided by brain-like 'spiking'computational frameworks, neuromorphic computing—brain-
inspired computing for machine intelligence—promises to realize artificial intelligence while …

A comprehensive review on emerging artificial neuromorphic devices

J Zhu, T Zhang, Y Yang, R Huang - Applied Physics Reviews, 2020 - pubs.aip.org
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

All-optical spiking neurosynaptic networks with self-learning capabilities

J Feldmann, N Youngblood, CD Wright, H Bhaskaran… - Nature, 2019 - nature.com
Software implementations of brain-inspired computing underlie many important
computational tasks, from image processing to speech recognition, artificial intelligence and …

Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges

J Tang, F Yuan, X Shen, Z Wang, M Rao… - Advanced …, 2019 - Wiley Online Library
As the research on artificial intelligence booms, there is broad interest in brain‐inspired
computing using novel neuromorphic devices. The potential of various emerging materials …

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

W Zhang, R Mazzarello, M Wuttig, E Ma - Nature Reviews Materials, 2019 - nature.com
The global demand for data storage and processing has increased exponentially in recent
decades. To respond to this demand, research efforts have been devoted to the …

An overview of phase-change memory device physics

M Le Gallo, A Sebastian - Journal of Physics D: Applied Physics, 2020 - iopscience.iop.org
Phase-change memory (PCM) is an emerging non-volatile memory technology that has
recently been commercialized as storage-class memory in a computer system. PCM is also …

Recent advances on neuromorphic devices based on chalcogenide phase‐change materials

M Xu, X Mai, J Lin, W Zhang, Y Li, Y He… - Advanced Functional …, 2020 - Wiley Online Library
Traditional von Neumann computing architecture with separated computation and storage
units has already impeded the data processing performance and energy efficiency, calling …

Neuromorphic computing using non-volatile memory

GW Burr, RM Shelby, A Sebastian, S Kim… - … in Physics: X, 2017 - Taylor & Francis
Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path
for implementing massively-parallel and highly energy-efficient neuromorphic computing …

Phase-change heterostructure enables ultralow noise and drift for memory operation

K Ding, J Wang, Y Zhou, H Tian, L Lu, R Mazzarello… - Science, 2019 - science.org
Artificial intelligence and other data-intensive applications have escalated the demand for
data storage and processing. New computing devices, such as phase-change random …

Stochastic phase-change neurons

T Tuma, A Pantazi, M Le Gallo, A Sebastian… - Nature …, 2016 - nature.com
Artificial neuromorphic systems based on populations of spiking neurons are an
indispensable tool in understanding the human brain and in constructing neuromimetic …