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NEURAL NETWORKS

AI learns how to learn with TCAMs

Nature Electronics volume 2, pages 493–494 (2019)Cite this article

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Neural networks could learn new concepts quickly and from only a few examples by using a ferroelectric ternary content-addressable memory as an augmented memory.

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Fig. 1: Ferroelectric TCAM for one-shot learning.

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Authors and Affiliations

  1. Institute of Microelectronics, Peking University, Beijing, China

    Peng Huang, Runze Han & Jinfeng Kang

Authors
  1. Peng Huang
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  2. Runze Han
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  3. Jinfeng Kang
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Correspondence to Jinfeng Kang.

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Huang, P., Han, R. & Kang, J. AI learns how to learn with TCAMs. Nat Electron 2, 493–494 (2019). https://doi.org/10.1038/s41928-019-0328-9

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