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相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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Two-dimensional (2D) microscopy encompasses a range of optical techniques that capture images within a single focal plane, offering detailed representations of microscopic structures. These techniques are essential in biological and medical research, enabling the visualization of cellular and subcellular structures with different levels of contrast and specificity.There are several major types of 2D microscopy, each with strengths and applications.Bright-Field MicroscopyBright-field microscopy...
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    科学领域:

    • 光学计算
    • 光子学
    • 集成光学

    背景情况:

    • 深度神经网络的发展需要先进的硬件计算平台.
    • 光学计算,特别是波长分割多重传输 (WDM),提供了更大的计算带宽,但面临着整合和容量挑战.
    • 现有的WDM架构需要新的解决方案来增强通道容量.

    研究的目的:

    • 在光学计算中引入模式分割复杂化 (MDM) 作为新的自由度.
    • 为增强计算带宽提供WDM与MDM增强的多维架构.
    • 在微环共振器平台上展示基于MDM的光学计算的可行性.

    主要方法:

    • 提出了一种新的光学计算架构,结合了模式分割多重复合 (MDM) 和波长分割多重复合 (WDM).
    • 设计和实验验证的关键光子组件:多模式光束分割器,高阶模式的热光学调器和多模式波导曲线.
    • 使用造工艺制造了一种原理证明矩阵复合系统.

    主要成果:

    • 成功展示了拟议的MDM-WDM光学计算架构的基本组件.
    • 该制造系统适用于MDM和组合MDM-WDM计算模式.
    • 微环共振器平台可以集成MDM进行增强的光学计算.

    结论:

    • 模式分割复杂化 (MDM) 为显著增加光学计算带宽提供了一条新的途径.
    • 拟议的多维MDM-WDM架构有效地提高了下一代计算的通道容量.
    • 实验验证证了基于MDM的光学计算对深度神经网络硬件的可行性.