Artificial perception system for dynamic recognition and trajectory extraction

Pengshan Xie; Johnny C. Ho

doi:10.1016/j.matt.2025.102060

Artificial perception system for dynamic recognition and trajectory extraction

Pengshan Xie
, Johnny C. Ho^*

^*此作品的通讯作者

City University of Hong Kong
Kyushu University

科研成果: 期刊稿件 › 评论/辩论

1 引用（Scopus）

摘要

Multi-modal in-sensor computing offers a promising approach to enhancing data processing efficiency and achieving breakthroughs in bandwidth and energy consumption. In a recent study published in Device, Chang et al. introduced a porous-Si/Si artificial visual system created through electrochemical etching. The voltage regulation performance, driven by the photovoltaic effect, has the potential to inspire the development of next-generation neuromorphic devices.

源语言	英语
文章编号	102060
期刊	Matter
卷	8
期	5
DOI	https://doi.org/10.1016/j.matt.2025.102060
出版状态	已出版 - 7 5月 2025
已对外发布	是

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

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10.1016/j.matt.2025.102060

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title = "Artificial perception system for dynamic recognition and trajectory extraction",

abstract = "Multi-modal in-sensor computing offers a promising approach to enhancing data processing efficiency and achieving breakthroughs in bandwidth and energy consumption. In a recent study published in Device, Chang et al. introduced a porous-Si/Si artificial visual system created through electrochemical etching. The voltage regulation performance, driven by the photovoltaic effect, has the potential to inspire the development of next-generation neuromorphic devices.",

author = "Pengshan Xie and Ho, \{Johnny C.\}",

note = "Publisher Copyright: {\textcopyright} 2025 Elsevier Inc.",

year = "2025",

month = may,

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doi = "10.1016/j.matt.2025.102060",

language = "英语",

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T1 - Artificial perception system for dynamic recognition and trajectory extraction

AU - Xie, Pengshan

AU - Ho, Johnny C.

PY - 2025/5/7

Y1 - 2025/5/7

N2 - Multi-modal in-sensor computing offers a promising approach to enhancing data processing efficiency and achieving breakthroughs in bandwidth and energy consumption. In a recent study published in Device, Chang et al. introduced a porous-Si/Si artificial visual system created through electrochemical etching. The voltage regulation performance, driven by the photovoltaic effect, has the potential to inspire the development of next-generation neuromorphic devices.

AB - Multi-modal in-sensor computing offers a promising approach to enhancing data processing efficiency and achieving breakthroughs in bandwidth and energy consumption. In a recent study published in Device, Chang et al. introduced a porous-Si/Si artificial visual system created through electrochemical etching. The voltage regulation performance, driven by the photovoltaic effect, has the potential to inspire the development of next-generation neuromorphic devices.

UR - https://www.scopus.com/pages/publications/105004037253

U2 - 10.1016/j.matt.2025.102060

DO - 10.1016/j.matt.2025.102060

M3 - 评论/辩论

AN - SCOPUS:105004037253

SN - 2590-2393

VL - 8

JO - Matter

JF - Matter

IS - 5

M1 - 102060

ER -

Artificial perception system for dynamic recognition and trajectory extraction

摘要

联合国可持续发展目标

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其它文件与链接

指纹

引用此