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    Near-sensor and in-sensor computing

    The number of nodes typically used in sensory networks is growing rapidly, leading to large amounts of redundant data being exchanged between sensory terminals and computing units. To efficiently process such ...

    Feichi Zhou, Yang Chai in Nature Electronics (2020)

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    Bioinspired in-sensor visual adaptation for accurate perception

    Machine vision systems that capture images for visual inspection and identification tasks have to be able to perceive a scene under a range of illumination conditions. To achieve this, current systems use circ...

    Fuyou Liao, Zheng Zhou, Beom ** Kim, Jiewei Chen, **gli Wang in Nature Electronics (2022)

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    Silicon photodiodes that multiply

    Silicon-based dual-gate photodiodes with electrostatically controlled photocurrents can be used to create imaging systems that can compute incoming visual data.

    Yang Chai in Nature Electronics (2022)

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    Computational event-driven vision sensors for in-sensor spiking neural networks

    Neuromorphic event-based image sensors capture only the dynamic motion in a scene, which is then transferred to computation units for motion recognition. This approach, however, leads to time latency and can b...

    Yue Zhou, Jiawei Fu, Zirui Chen, Fuwei Zhuge, Yasai Wang, Jianmin Yan in Nature Electronics (2023)

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    Neuromorphic computing based on halide perovskites

    Neuromorphic computing requires electronic systems that can perform massively parallel computational tasks with low energy consumption. Such systems have traditionally been based on complementary metal–oxide–s...

    Maria Vasilopoulou, Abd Rashid bin Mohd Yusoff, Yang Chai in Nature Electronics (2023)