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相关概念视频

MOS Capacitor01:25

MOS Capacitor

771
A Metal-Oxide-Semiconductor (MOS) capacitor is a fundamental structure used extensively in semiconductor device technology, particularly in the fabrication of integrated circuits and MOSFETs (metal-oxide-semiconductor field-effect transistors). The MOS capacitor consists of three layers: a metal gate, a dielectric oxide, and a semiconductor substrate.
The metal gate is typically made from highly conductive materials such as aluminum or polysilicon. Beneath the metal gate lies a thin layer of...
771

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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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实现事件驱动的神经网络的memristor-CMOS混合电路,用于动态视觉传感器摄像机.

Rina Yoon1, Seokjin Oh1, Seungmyeong Cho1

  • 1School of Electrical Engineering, Kookmin University, Seoul 02707, Republic of Korea.

Micromachines
|April 27, 2024
PubMed
概括

这项研究为事件驱动的神经网络引入了新的memristor-CMOS混合电路,显著降低了电力消耗,同时保持了动态视觉传感器摄像头的高精度.

科学领域:

  • 神经形态工程的神经形态工程
  • 计算机工程 计算机工程
  • 人工智能的人工智能

背景情况:

  • 尖端神经网络提供低功耗但复杂的训练.
  • 数字CMOS神经网络允许直接训练,但具有很高的能源开销.
  • 处理动态视觉传感器 (DVS) 摄像头数据对传统的神经网络提出了挑战.

研究的目的:

  • 为事件驱动的神经网络提出memristor-CMOS混合电路.
  • 将基于尖的计算的好处与标准的反向传播培训相结合.
  • 为了减少处理DVS摄像机事件的硬件和能源开销.

主要方法:

  • 开发了基于memristor的输入神经元和突触交叉杆的混合电路.
  • 用于低功耗的多重积累 (MAC) 操作的使用memristor横杆.
  • 实现了Rectified Linear Unit (ReLU) 激活和动态时钟门的控制器.

主要成果:

  • 在POKER-DVS数据集中实现了高达79%的显著节能,性能降低最小 (0.5%).
  • 对于MNIST-DVS数据集,证明了75%的功率减少,识别率略有下降 (0.75%).
  • 通过对基于事件的数据集的模拟来验证拟议的混合电路的有效性.
关键词:
动态视觉传感器摄像机摄像机.事件驱动的神经网络是由事件驱动的神经网络.记忆器的使用者记忆器CMOS混合电路的混合电路

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结论:

  • 记忆器-CMOS混合电路为事件驱动的神经网络提供了高效的解决方案.
  • 拟议的架构平衡了DVS处理的性能和实质性节能.
  • 这种方法可以实现低功耗,硬件效率高的高级神经网络模型.