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相关概念视频

MOSFET: Enhancement Mode01:22

MOSFET: Enhancement Mode

298
Enhancement-mode MOSFETs are pivotal components in electronics, distinguished by their capacity to act as highly efficient switches. They are part of the larger family of metal-oxide Semiconductor Field-Effect Transistors (MOSFETs). They are available in two types: p-channel and n-channel, each tailored to specific polarity operations.
In their basic form, enhancement-mode MOSFETs are typically non-conductive when the gate-source voltage (Vgs) is zero. This default 'off' state means no...
298
Cascaded Op Amps01:16

Cascaded Op Amps

594
Operational amplifiers (op-amps) are versatile electronic components that can be interconnected in a cascade - one after another in a linear sequence. This cascading is possible due to their infinite input resistance and zero output resistance, allowing them to maintain their input-output relationships even when connected in series.
In a cascaded system, each op-amp is referred to as a stage. The output of one stage drives the input of the subsequent stage. As the input signal passes through...
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相关实验视频

Updated: Jun 8, 2025

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
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Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

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基于Ge-Si的级联光学非线性激活功能.

Baiheng Zhao, Bo Wu, Hailong Zhou

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    此摘要是机器生成的。

    本研究介绍了一种新的Ge-Si光学激活功能架构,用于光学神经网络. 级联设计可以提高复杂任务的性能,例如手势识别.

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    Demonstration of Spin-Multiplexed and Direction-Multiplexed All-Dielectric Visible Metaholograms
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    相关实验视频

    Last Updated: Jun 8, 2025

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    科学领域:

    • 光子学是指光子学的使用方法.
    • 光学计算是指光学计算.
    • 人工智能的人工智能

    背景情况:

    • 专用非线性设备对于光学神经网络 (ONN) 是必不可少的,但在准备,兼容性和多层级级联排方面面临挑战.
    • 现有的光学激活功能限制了ONN的复杂性和可扩展性.

    研究的目的:

    • 提出一种基于Ge-Si结构设备的新,级联式光学非线性激活函数架构.
    • 克服现有设备的局限性,以提高ONN性能.

    主要方法:

    • 使用Ge-Si结构化的设备开发了一个级联式光学非线性激活函数架构.
    • 采用双源调制来补偿损失,使波长切换和级联实现.
    • 通过实验验证架构,包括MNIST和手势识别任务.

    主要成果:

    • 证明了成功的级联和波长切换功能,优于传统的Ge-Si设备.
    • 与线性网络相比,平均精度提高了23%,与传统激活功能在手势识别中的网络相比,平均精度提高了15%.
    • 在一个MNIST任务中验证了架构的多功能性.

    结论:

    • 拟议的Ge-Si架构为光学激活功能提供了一个级联式和高度兼容的解决方案.
    • 这一进步促进了大规模ONN的扩展和处理复杂的计算任务.
    • 强调了全光学激活函数在未来光学计算中的潜力.