Multiplication on the edge

Analogue computing based on memristors could offer a faster and more energy-efficient alternative to conventional digital computing in IoT applications.

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Fig. 1: Applications for analogue computing based on memristor crossbar arrays.

robot, Alexey Kotelnikov / Alamy Stock Photo.


  1. 1.

    Li, C. et al. Nat. Electron. (2017).

  2. 2.

    Strukov, D. B., Snider, G. S., Stewart, D. R. & Williams, R. S. Nature 453, 80–83 (2008).

    Article  Google Scholar 

  3. 3.

    Kuzum, D., Yu, S. & Wong, H. P. Nanotechnology 24, 382001 (2013).

    Article  Google Scholar 

  4. 4.

    Sheridan, P. M. et al. Nat. Nanotech. 12, 784–789 (2017).

    Article  Google Scholar 

  5. 5.

    Jiang, H. et al. Sci. Rep. 6, 28525 (2016).

    Article  Google Scholar 

  6. 6.

    Prezioso, M. et al. Nature 521, 61–64 (2015).

    Article  Google Scholar 

  7. 7.

    Yao, P. et al. Nat. Commun. 8, 15199 (2017).

    Article  Google Scholar 

Download references

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Correspondence to Huaqiang Wu.

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Wu, H., Yao, P., Gao, B. et al. Multiplication on the edge. Nat Electron 1, 8–9 (2018).

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