CMOS-Compatible Embedded Artificial Synaptic Device (eASD) for Neuromorphic Computing and AI Applications

The research showcases innovative embedded artificial synaptic devices (eASDs) implemented in a CMOS logic platform. These eASD devices demonstrate a large sensing window, exceptional endurance, and reliable data retention. Moreover, they can seamlessly integrate into neural network (NN) circuits, e...

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Bibliographic Details
Published inIEEE transactions on electron devices Vol. 71; no. 2; pp. 1 - 7
Main Authors Huang, Yao-Hung, Yu, Hsin-Yuan, Chih, Yue-Der, Wang, Yih, King, Ya-Chin, Lin, Chrong Jung
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Artificial intelligence
Artificial neural networks
CMOS
computing-in-memory
embedded memory
high-k metal gate (HKMG)
Logic gates
Memristors
neural network (NN)
Neural networks
neuromorphic
Reliability
resistive random access memory (RRAM)
Switches
Synapses
Transistors
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Summary:The research showcases innovative embedded artificial synaptic devices (eASDs) implemented in a CMOS logic platform. These eASD devices demonstrate a large sensing window, exceptional endurance, and reliable data retention. Moreover, they can seamlessly integrate into neural network (NN) circuits, effectively functioning as synapses with adjustable synaptic weights, making them highly valuable for artificial intelligence (AI) applications.
ISSN:0018-9383
1557-9646
DOI:10.1109/TED.2023.3346857