采用双层AlN/Si波导的CMOS兼容光子集成电路平台实现近传感器边缘计算系统

IF 36.3 1区 材料科学 Q1 Engineering
Zhihao Ren, Zixuan Zhang, Yangyang Zhuge, Zian Xiao, Siyu Xu, Jingkai Zhou, Chengkuo Lee
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引用次数: 0

摘要

一种新型的近传感器边缘计算系统集成了用于光子特征提取的氮化铝(AlN)微环和用于光子神经网络操作的Si Mach-Zehnder干涉仪,实现了实时人工智能(AI)处理。具有高分类准确率(手势96.77%,步态98.31%),低延迟(< 10 ns)和最小能量消耗(< 0.34 pJ)。在双层AlN/Si波导平台上实现低功耗,高速人工智能应用的无缝混合光电子集成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Near-Sensor Edge Computing System Enabled by a CMOS Compatible Photonic Integrated Circuit Platform Using Bilayer AlN/Si Waveguides

Highlights

  • A novel near-sensor edge computing system integrates aluminum nitride (AlN) microrings for photonic feature extraction and Si Mach–Zehnder interferometers for photonic neural network operations, achieving real-time artificial intelligence (AI) processing.

  • Demonstrates high classification accuracy (96.77% for gestures, 98.31% for gaits) with low latency (< 10 ns) and minimal energy consumption (< 0.34 pJ).

  • Enables low-power, high-speed AI applications with seamless hybrid photonic-electronic integration on a bilayer AlN/Si waveguide platform.

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来源期刊
Nano-Micro Letters
Nano-Micro Letters NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
32.60
自引率
4.90%
发文量
981
审稿时长
1.1 months
期刊介绍: Nano-Micro Letters is a peer-reviewed, international, interdisciplinary, and open-access journal published under the SpringerOpen brand. Nano-Micro Letters focuses on the science, experiments, engineering, technologies, and applications of nano- or microscale structures and systems in various fields such as physics, chemistry, biology, material science, and pharmacy.It also explores the expanding interfaces between these fields. Nano-Micro Letters particularly emphasizes the bottom-up approach in the length scale from nano to micro. This approach is crucial for achieving industrial applications in nanotechnology, as it involves the assembly, modification, and control of nanostructures on a microscale.
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