Zhao, Chun, Zhao, Tianshi, Cao, Yixin, Liu, Yina, Yang, Li, Mitrovic, Ivona Z 
ORCID: 0000-0003-4816-8905, Lim, Eng Gee and Zhao, Ce Zhou
(2021)
Advanced synaptic transistor device towards AI application in hardware perspective.
In: 2021 International Conference on IC Design and Technology (ICICDT), 2021-9-15 - 2021-9-17.
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Abstract
For the past decades, the synaptic devices for the inmemory computing have been widely investigated due to the high-efficiency computing potential and the ability to mimic biological neurobehavior. However, the conventional twoterminal synaptic memristors show drawbacks of resistance reduction caused by large-scale paralleling and asynchronous storage-reading process, which limit its development. Recently, researchers have paid attention to the transistor-like artificial synapse. Due to the existence of insulator layer and the separation of input and read terminals, the three-terminal synaptic transistors are believed to have greater potential towards artificial intelligence (AI) application fields. In this work, a summary of recent progresses and the future challenges of synaptic transistors are discussed.
| Item Type: | Conference or Workshop Item (Unspecified) |
|---|---|
| Additional Information: | (c) 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
| Uncontrolled Keywords: | artificial intelligence, artificial synapses, hardware neural network, transistors |
| Divisions: | Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science Faculty of Science and Engineering > School of Physical Sciences |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 12 Apr 2023 09:33 |
| Last Modified: | 14 Mar 2024 17:56 |
| DOI: | 10.1109/ICICDT51558.2021.9626511 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3169539 |
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