Volatile and nonvolatile memristive devices for neuromorphic computing

G Zhou, Z Wang, B Sun, F Zhou, L Sun… - Advanced Electronic …, 2022 - Wiley Online Library
Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …

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 …

Intelligent skin cancer detection applying autoencoder, MobileNetV2 and spiking neural networks

M Toğaçar, Z Cömert, B Ergen - Chaos, Solitons & Fractals, 2021 - Elsevier
Melanocytes are skin cells that give color to the skin and form melanin color pigments. The
unbalanced division and proliferation of these cells result in skin cancer. The early diagnosis …

In-memory computing with emerging memory devices: Status and outlook

P Mannocci, M Farronato, N Lepri, L Cattaneo… - APL Machine …, 2023 - pubs.aip.org
In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …

Adaptive extreme edge computing for wearable devices

E Covi, E Donati, X Liang, D Kappel… - Frontiers in …, 2021 - frontiersin.org
Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

Emerging materials for neuromorphic devices and systems

MK Kim, Y Park, IJ Kim, JS Lee - Iscience, 2020 - cell.com
Neuromorphic devices and systems have attracted attention as next-generation computing
due to their high efficiency in processing complex data. So far, they have been demonstrated …

From memristive materials to neural networks

T Guo, B Sun, S Ranjan, Y Jiao, L Wei… - … Applied Materials & …, 2020 - ACS Publications
The information technologies have been increasing exponentially following Moore's law
over the past decades. This has fundamentally changed the ways of work and life. However …

Integration and co-design of memristive devices and algorithms for artificial intelligence

W Wang, W Song, P Yao, Y Li, J Van Nostrand, Q Qiu… - Iscience, 2020 - cell.com
Memristive devices share remarkable similarities to biological synapses, dendrites, and
neurons at both the physical mechanism level and unit functionality level, making the …

Recent progress in synaptic devices based on 2D materials

L Sun, W Wang, H Yang - Advanced Intelligent Systems, 2020 - Wiley Online Library
Diverse synaptic plasticity with a wide range of timescales in biological synapses plays an
important role in memory, learning, and various signal processing with exceptionally low …

Recent advances in emerging neuromorphic computing and perception devices

Y Zhu, Y Zhu, H Mao, Y He, S Jiang… - Journal of Physics D …, 2021 - iopscience.iop.org
Brain-inspired electronics represent a promising paradigm to resolve the energy and time
bottlenecks in conventional digital machines. Recent advances have spanned both …