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An optical imager that can compute

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An intelligent meta-imager can perform multi-channel convolutions to accelerate machine vision for incoherent light.

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Fig. 1: Schematic of the meta-imager for accelerating machine vision.

References

  1. Zheng, H. et al. Nat. Nanotechnol. https://doi.org/10.1038/s41565-023-01557-2 (2024).

    Article  PubMed  Google Scholar 

  2. Shi, W. et al. Light Sci. Appl. 11, 121 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Wang, H. et al. ACS Photon. 7, 338–343 (2020).

    Article  CAS  Google Scholar 

  4. Zhang, X. et al. Laser Photon. Rev. 16, 2200038 (2022).

    Article  Google Scholar 

  5. Zhou, F. & Chai, Y. Nat. Electron. 3, 664–671 (2020).

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electronic Engineering, Tsinghua University, Beijing, China

    Zheng Huang & Hongwei Chen

Authors
  1. Zheng Huang
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  2. Hongwei Chen
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Correspondence to Hongwei Chen.

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The authors declare no competing interests.

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Huang, Z., Chen, H. An optical imager that can compute. Nat. Nanotechnol. 19, 422–423 (2024). https://doi.org/10.1038/s41565-023-01590-1

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