IEEE Journal of Solid-State Circuits · 2025 · Journal article

ANP-G: A 28-nm 1.04-pJ/SOP Sub-mm² Asynchronous Hybrid Neural Network 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

Date
2025-07-01
Citations
12
Cite
@article{huo2025anpg,
  title = {ANP-G: A 28-nm 1.04-pJ/SOP Sub-mm² Asynchronous Hybrid Neural Network 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 = {2025},
  journal = {IEEE Journal of Solid-State Circuits},
  doi = {10.1109/JSSC.2025.3530513},
  url = {https://doi.org/10.1109/JSSC.2025.3530513},
}