用于动态识别和轨迹提取的人工感知系统

IF 17.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Matter Pub Date : 2025-05-07 DOI:10.1016/j.matt.2025.102060
Pengshan Xie , Johnny C. Ho
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引用次数: 0

摘要

多模态传感器内计算为提高数据处理效率和实现带宽和能耗突破提供了一种有前途的方法。在最近发表在Device上的一项研究中,Chang等人介绍了一种通过电化学蚀刻创建的多孔Si/Si人工视觉系统。由光伏效应驱动的电压调节性能,有可能激发下一代神经形态器件的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial perception system for dynamic recognition and trajectory extraction
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.
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来源期刊
Matter
Matter MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
26.30
自引率
2.60%
发文量
367
期刊介绍: Matter, a monthly journal affiliated with Cell, spans the broad field of materials science from nano to macro levels,covering fundamentals to applications. Embracing groundbreaking technologies,it includes full-length research articles,reviews, perspectives,previews, opinions, personnel stories, and general editorial content. Matter aims to be the primary resource for researchers in academia and industry, inspiring the next generation of materials scientists.
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