Multiplication on the edge
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Edge AI enables AI use in environments where networks are not connected or where there are security concerns regarding network usage.
“edge AI enables the use of AI in environments where networks are not connected or in situations with security concerns regarding network usage.”
From Flexible self-rectifying synapse array for energy-efficient edge multiplication in electrocardiogram diagnosis (2025) · cites this paper as [2]
Cites
Strukov, D. B., Snider, G. S., Stewart, D. R., & Williams, R. S. (2008) · Nature · doi:10.1038/nature06932 · Cited by 11,744 · see citing works
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
Prezioso, M., Merrikh-Bayat, F., Hoskins, B. D., Adam, G. C., Likharev, K. K., & Strukov, D. B. (2015) · Nature · doi:10.1038/nature14441 · Cited by 3,001 · see citing works
Analogue signal and image processing with large memristor crossbars
Li, C., Hu, M., Li, Y., Jiang, H., Ge, N., Montgomery, E., Zhang, J., Song, W., Dávila, N., Graves, C. E., et al. (2017) · Nature Electronics · doi:10.1038/s41928-017-0002-z · Cited by 1,292 · see citing works
Synaptic electronics: materials, devices and applications
Kuzum, D., Yu, S., & Wong, H. ‐. P. (2013) · Nanotechnology · doi:10.1088/0957-4484/24/38/382001 · Cited by 1,257 · see citing works
Face classification using electronic synapses
Yao, P., Wu, H., Gao, B., Eryilmaz, S. B., Huang, X., Zhang, W., Zhang, Q., Deng, N., Shi, L., Wong, H.-S. P., et al. (2017) · Nature Communications · doi:10.1038/ncomms15199 · Cited by 909 · see citing works
Self-citationSparse coding with memristor networks
Sheridan, P. M., Cai, F., Du, C., Ma, W., Zhang, Z., & Lu, W. D. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.83 · Cited by 619 · see citing works
Sub-10 nm Ta Channel Responsible for Superior Performance of a HfO2 Memristor
Jiang, H., Han, L., Lin, P., Wang, Z., Jang, M. H., Wu, Q., Barnell, M. D., Yang, J. J., Xin, H. L., & Xia, Q. (2016) · Scientific Reports · doi:10.1038/srep28525 · Cited by 279 · see citing works
Flagged first, then by citations
1 of the 8 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
All-optical spiking neurosynaptic networks with self-learning capabilities
Feldmann, J., Youngblood, N., Wright, C. D., Bhaskaran, H., & Pernice, W. H. P. (2019) · Nature · doi:10.1038/s41586-019-1157-8 · Cited by 1,527 · see citing works
Neuro-inspired computing chips
Zhang, W., Gao, B., Tang, J., Yao, P., Yu, S., Chang, M.-F., Yoo, H.-J., Qian, H., & Wu, H. (2020) · Nature Electronics · doi:10.1038/s41928-020-0435-7 · Cited by 892 · see citing works
Self-citationElectronic synapses made of layered two-dimensional materials
Shi, Y., Liang, X., Yuan, B., Chen, V., Li, H., Hui, F., Yu, Z., Yuan, F., Pop, E., Wong, H. ‐. P., et al. (2018) · Nature Electronics · doi:10.1038/s41928-018-0118-9 · Cited by 634 · see citing works
Memristive devices based on emerging two-dimensional materials beyond graphene
Zhang, L., Gong, T., Wang, H., Guo, Z., & Zhang, H. (2019) · Nanoscale · doi:10.1039/c9nr02886b · Cited by 111 · see citing works
Universal Energy Solution for Triboelectric Sensors Toward the 5G Era and Internet of Things
Wen, H., Yang, X., Huang, R., Zheng, D., Yuan, J., Hong, H., Duan, J., Zi, Y., & Tang, Q. (2023) · Advanced Science · doi:10.1002/advs.202302009 · Cited by 62 · see citing works
Practical Implementation of Memristor-Based Threshold Logic Gates
Papandroulidakis, G., Serb, A., Khiat, A., Merrett, G. V., & Prodromakis, T. (2019) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2019.2902475 · Cited by 59 · see citing works
Nanosystems, Edge Computing, and the Next Generation Computing Systems
Passian, A., & Imam, N. (2019) · Sensors · doi:10.3390/s19184048 · Cited by 60 · see citing works
Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic Chips
Xiao, Y., Gao, C., Jin, J., Sun, W., Wang, B., Bao, Y., Liu, C., Huang, W., Zeng, H., & Yu, Y. (2024) · Advanced Devices & Instrumentation · doi:10.34133/adi.0044 · Cited by 55 · see citing works
Memristive Stateful Logic for Edge Boolean Computers
Kim, Y. S., Son, M. W., & Kim, K. M. (2021) · Advanced Intelligent Systems · doi:10.1002/aisy.202000278 · Cited by 41 · see citing works
Kim, Y. S., Son, M. W., Song, H., Park, J., An, J., Jeon, J. B., Kim, G. Y., Son, S., & Kim, K. M. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.201900156 · Cited by 39 · see citing works
Mechanisms of resistive switching in two-dimensional monolayer and multilayer materials
Kaniselvan, M., Jeon, Y.-R., Mladenović, M., Luisier, M., & Akinwande, D. (2025) · Nature Materials · doi:10.1038/s41563-025-02170-5 · Cited by 37 · see citing works
Jiang, N., Tang, J., Zhang, W., Li, Y., Li, N., Li, X., Chen, X., Fang, R., Guo, Z., Wang, F., et al. (2023) · Advanced Optical Materials · doi:10.1002/adom.202300271 · Cited by 32 · see citing works
Khan, R., Iqbal, S., Hui, K. N., Khera, E. A., Kalluri, S., Soliyeva, M., & Sangaraju, S. (2025) · Sensors and Actuators A-Physical · doi:10.1016/j.sna.2025.116316 · Cited by 21 · see citing works
Realization of a non-markov chain in a single 2D mineral RRAM
Zhang, R., Chen, W., Teng, C., Liao, W., Liu, B., & Cheng, H. (2021) · 中国科学通报：英文版 · doi:10.1016/j.scib.2021.04.025 · Cited by 22 · see citing works
Lee, Y., Rhee, H., Kim, G., Cheong, W. H., Kim, D. H., Song, H., Kay, S. N., Lee, J., & Kim, K. M. (2025) · Nature Communications · doi:10.1038/s41467-025-59589-2 · Cited by 19 · see citing works
In-sensor reservoir computing for gas pattern recognition using Pt-AlGaN/GaN HEMTs
Jiang, Y., Shi, S., Wang, S., Du, F., Wang, P., Lin, N., Li, W., Zhang, Y., He, L., Sokolovskij, R., et al. (2024) · Device · doi:10.1016/j.device.2024.100550 · Cited by 19 · see citing works
Parallelizing analog in-sensor visual processing with arrays of gate-tunable silicon photodetectors
Xiong, Z., Liang, W., Zhang, M., Mao, D., Xia, Q., & Xu, G. (2025) · Nature Communications · doi:10.1038/s41467-025-60006-x · Cited by 19 · see citing works
Passive LiNbO₃ Memristor With Multilevel States for Neuromorphic Computing
Xie, Q., Pan, X., Wang, Y., Luo, W., Zhao, Z., Tong, J., Yang, X., Shuai, Y., Wu, C., & Zhang, W. (2024) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2024.3450437 · Cited by 8 · see citing works
Liu, X., Tian, H., Wang, Z., Nie, C., Zhou, P., Zhang, Y., Zhang, J., Chen, F., Wu, Y., & Zheng, H. (2024) · Nano Energy · doi:10.1016/j.nanoen.2024.110427 · Cited by 7 · see citing works
Area and Device Count Efficient Binary Logic Circuits using Anti‐Ambipolar Switch Devices
Jun, J. H., Lee, Y., Lee, H., Kim, M., Hwang, H. J., & Lee, B. H. (2024) · Advanced Electronic Materials · doi:10.1002/aelm.202300892 · Cited by 6 · see citing works
Pan, X., Luo, W., Shuai, Y., Hu, S. G., Luo, W., Qiao, G., Zhou, T. H., Wang, J., Xie, Q., Huang, S., et al. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3248123 · Cited by 6 · see citing works
Structural plasticity‐based hydrogel optical Willshaw model for one‐shot on‐the‐fly edge learning
Wang, D., Liu, D., Lin, Y., Yuan, A., Zhang, W., Zhao, Y., Wang, S., Chen, X., Chen, H., Zhang, Y., et al. (2023) · InfoMat · doi:10.1002/inf2.12399 · Cited by 5 · see citing works
Feldmann, J., & Pernice, W. H. P. (2019) · Physik in unserer Zeit · doi:10.1002/piuz.201901557 · Cited by 2 · see citing works
Analog circuit integration of backpropagation learning in memristive HTM architecture
Krestinskaya, O., & James, A. P. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821184-7.00029-3
Realization of A Non-Markov Chain in A Single 2D Crystal RRAMPreprint
Zhang, R., Chen, W., Teng, C., Liao, W., Liu, B., & Cheng, H. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2108.13244
Advanced Nanomaterials in Electrical and Electronics Miniaturization
Thomas, R. M., Mishra, A., Shahin, S., Khan, M. S., & Khan, Z. H. (2026) · Advanced structured materials · doi:10.1007/978-981-95-3600-9_6
- Authors
- Wu, H., Yao, P., Gao, B., & Qian, H.
- Affiliations
- Tsinghua University (CN)
- Corresponding author
- Wu, Huaqiang
- Venue
- Nature Electronics
- Published
- 2018-01-08
- Volume
- 1
- Issue
- 1
- Pages
- 8-9
- ISSN
- 2520-1131 (ISSN-L)
- OpenAlex
- W2779961690
- Cited by
- 27
- References
- 8
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 5 · 2023: 5 · 2021: 4 · 2020: 2 · 2019: 5 · 2018: 1
- FWCI
- 0.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature Electronics (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Low-power high-performance VLSI design
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Keywords
- memristors, analog computing, edge computing, Internet of Things, energy-efficient computing, hardware acceleration
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