AI-enabled flexible electronic systems via near-sensor and in-sensor computing
Artificial intelligence (AI) advances society, spurring interest in integrating it into daily life. AI-enabled flexible electronic systems (AI-FESs) bridge virtual and physical worlds, evolving from detection to analysis. Most AI-FESs rely on external computing, limiting real-time use. Interest in local sensor processing is growing. This review covers progress integrating flexible sensors with processors (including near/in-sensor analyses), advanced processing methods, challenges, and future directions for next-generation AI-FESs.
Authors
- Zhangyu Xu (ORCID: https://orcid.org/0000-0001-5179-9105)
- Erxuan Xie
- Wei He
- Fan Zhang
- YongAn Huang
- Xuejun Liu
- Chao Hou
Institutions
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- npj Flexible Electronics
- Published
- 2026-02-27
- DOI
- https://doi.org/10.1038/s41528-026-00544-6
- Primary Topic
- Modular Robots and Swarm Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China