An overhead-reduced, efficient, fully analog neural-network computing hardware.

Ye J, Wang W, Shi C, Cui X, Qu W, Lin P, Yu X, Cheng R, Wu H, Chen B

DOI: 10.1126/sciadv.adv7555
Published: 2025 Oct 24
Container: Science advances
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1126/sciadv.adv7555,
  title = {An overhead-reduced, efficient, fully analog neural-network computing hardware.},
  author = {Ye J and Wang W and Shi C and Cui X and Qu W and Lin P and Yu X and Cheng R and Wu H and Chen B},
  year = {2025},
  journal = {Science advances},
  doi = {10.1126/sciadv.adv7555},
  url = {https://doi.org/10.1126/sciadv.adv7555}
}

RIS

TY  - JOUR
TI  - An overhead-reduced, efficient, fully analog neural-network computing hardware.
AU  - Ye J
AU  - Wang W
AU  - Shi C
AU  - Cui X
AU  - Qu W
AU  - Lin P
AU  - Yu X
AU  - Cheng R
AU  - Wu H
AU  - Chen B
PY  - 2025
JO  - Science advances
DO  - 10.1126/sciadv.adv7555
UR  - https://doi.org/10.1126/sciadv.adv7555
ER  -

APA

J, Y., W, W., C, S., X, C., W, Q., P, L., X, Y., R, C., H, W., & B, C. (2025). An overhead-reduced, efficient, fully analog neural-network computing hardware.. Science advances. https://doi.org/10.1126/sciadv.adv7555

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pubmed · retrieved 2026-09-24T22:41:55.963Z