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

Yao-Hung Huang, Hsin-Yuan Yu, Yue-Der Chih, Yih Wang, Ya-Chin King 和 Chrong Jung Lin
IEEE Transactions on Electron Devices, 卷.71(2), 頁碼.1313-1319
02/2024
DOI: https://doi.org/10.1109/TED.2023.3346857

摘要

CMOS computing-in-memory embedded memory high-k metal gate (HKMG) neural network (NN) neuromorphic resistive random access memory (RRAM) Electronic Optical and Magnetic Materials Electrical and Electronic Engineering
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.

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