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- W4312597898 abstract "This paper presents a compute-in-memory (CIM) cell design based on the low-temperature polycrystalline-silicon (LTPS) oxide (LTPO) hybrid thin-film transistor (TFT) technology. The weight of the cell is quantized to 4 bits though 4 LTPS TFTs of different width-to-length ratios. The weights are able to be maintained for long-term operation with ultra-low leakage amorphous indium-gallium-zinc-oxide (a-IGZO) TFT switches. A CIM array is designed to implement a 3-layer MLP neural network for MNIST dataset recognition, which can achieve recognition accuracy of 98% even at a 5% relative threshold voltage fluctuation of the LTPS TFT." @default.
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- W4312597898 date "2022-08-21" @default.
- W4312597898 modified "2023-09-27" @default.
- W4312597898 title "A Computing-in-Memory Cell Design based on LTPO Hybrid Thin Film Transistor Integration" @default.
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- W4312597898 doi "https://doi.org/10.1109/ifetc53656.2022.9948500" @default.
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