AI-enabled flexible electronic systems via near-sensor and in-sensor computing

npj Flexible Electronics 2026 Open access

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Authors: Zhangyu Xu, Erxuan Xie, Chao Hou, Yunzhao Bai, Wei He, Xuejun Liu, Fan Zhang, YongAn Huang
DOI: 10.1038/s41528-026-00544-6
Cited by: 7
References: 188

Abstract

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.

Fields of Study & Subjects

Modular Robots and Swarm Intelligence Energy Efficient Wireless Sensor Networks IoT and Edge/Fog Computing

Publication details

Journal / source
npj Flexible Electronics
Publisher
Springer Science and Business Media LLC
Volume
10
Issue
1
Publication date
27 February 2026
Language
EN