IEEE Symposium on VLSI Technology and Circuits (VLSI Tech… · 2023 · Journal article

ANP-G: A 28nm 1.04pJ/SOP Sub-mm2 Spiking and Back-propagation Hybrid Neural Network Asynchronous Olfactory Processor Enabling Few-shot Class-incremental On-chip Learning

Dexuan Huo, Ji-Lin Zhang, Xinyu Dai, Jian Zhang, Chunqi Qian, Kea-Tiong Tang, Hong Chen

Published in: 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
Date: 2023-06-11
Citations: 18

Cite

@article{huo2023anpg,
  title = {ANP-G: A 28nm 1.04pJ/SOP Sub-mm2 Spiking and Back-propagation Hybrid Neural Network Asynchronous Olfactory Processor Enabling Few-shot Class-incremental On-chip Learning},
  author = {Dexuan Huo and Ji-Lin Zhang and Xinyu Dai and Jian Zhang and Chunqi Qian and Kea-Tiong Tang and Hong Chen},
  year = {2023},
  journal = {2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)},
  doi = {10.23919/VLSITechnologyandCir57934.2023.10185410},
  url = {https://doi.org/10.23919/VLSITechnologyandCir57934.2023.10185410},
}