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Fast and High-Precision Analog In-Sensor Visual Computing Using Fully Amorphous Metal Oxide Thin-Film Transistors

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Circuits and Systems proceedings

DOI: 10.1109/iscas56072.2025.11043722

Authors: Lingxiao Qian, Tengyan Huang, Haotian Han, Yuxuan Zhu, Congwei Liao, Shengdong Zhang

Institution: Peking University

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Research and Development

OpenAlex ID: W4411725672

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Cites: 28

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Related to: 10