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^*

^*Corresponding author for this work

City University of Hong Kong
Kyushu University

Research output: Contribution to journal › Comment/debate

1 Scopus citations

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.

Original language	English
Article number	102060
Journal	Matter
Volume	8
Issue number	5
DOIs	https://doi.org/10.1016/j.matt.2025.102060
State	Published - 7 May 2025
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1016/j.matt.2025.102060

Cite this

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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.\}",

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year = "2025",

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

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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

Abstract

UN SDGs

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