Open AccessIon‐Gated Transistor: An Enabler for Sensing and Computing Integration
Author(s) -
Bu Xianbao,
Xu Han,
Shang Dashan,
Li Yue,
Lv Hangbing,
Liu Qi
Publication year - 2020
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.202000156
Subject(s) - neuromorphic engineering , computer science , enabling , data transmission , intelligent sensor , embedded system , internet of things , computer architecture , wireless sensor network , computer hardware , artificial intelligence , artificial neural network , computer network , psychology , psychotherapist
With the rapid development of the Internet of Things, the amount of data we involved in our daily life is growing exponentially, which poses significant challenges for data processing and transmission to the conventional terminal sensors that passively acquire external data. Inspired by biological sensory nervous systems, building artificial intelligent sensory systems with both sensing and computing capability is regarded as a promising way to address these challenges, by which the acquired data can be preprocessed locally and timely before transmitting them to the remote server for further processing. Ion‐gated transistors (IGTs), which have been widely used in sensors and have been recently investigated for neuromorphic computing, exhibit great potential in this domain. Herein, the essential operation principles, device structures, and electrical characteristics of IGT are introduced, and the recent developments in biosensors, neuromorphic computing, and intelligent sensors with near‐sensor computing and in‐sensor computing modes are summarized. To conclude, the current challenges and future development of IGT for intelligent sensory systems are presented.