36.4 ANP-OT: A 0.17nW/Synapse 0.46pJ/SOP Neuromorphic Olfactory Processor with On-Chip Transfer Learning for Non-Invasive Cross-Hospital Cross-Pulmonary-Disease Diagnosis

Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference 2026

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Authors: Dexuan Huo, Ziyi Cheng, Jilin Zhang, Yumeng Jiang, Lushuo Zhang, Hui Wang, 娜 马, Zebin Huang, Minggui Lin, Yunxia Zhao, Zhihua Wang, Kea‐Tiong Tang
+1 more Hong Chen
DOI: 10.1109/isscc49663.2026.11409049
Cited by: 0
References: 7

Abstract

This paper reports an olfactory processor with on-chip transfer learning for cross-hospital and cross-pulmonary-disease diagnosis, which achieves$>94 \%$pulmonary disease detection accuracy at 3 different hospitals. This work achieves a$0.46 \text{pJ} /$SOP energy efficiency, and a power density of$0.17 \text{nW} /$synapse.

Fields of Study & Subjects

Advanced Chemical Sensor Technologies Advanced Memory and Neural Computing Analog and Mixed-Signal Circuit Design

Publication details

Journal / source
Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference
Pages
606–608
Publication date
15 February 2026
Language
EN