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相关概念视频

Electro-mechanical Systems01:19

Electro-mechanical Systems

907
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
907
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

509
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
509
Semiconductors01:22

Semiconductors

520
There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
520
Non-ohmic Devices00:51

Non-ohmic Devices

1.0K
In most substances, the current flow is proportional to the voltage applied to it. A simple relationship between the values of current, voltage, and resistance is known as Ohm's law. Nonohmic devices do not exhibit a linear relationship between voltage and current. One such device is the semiconducting circuit element known as a diode. A diode is a circuit device that allows current flow in only one direction.
Consider a simple circuit consisting of a battery, a diode, and a resistor. A...
1.0K
MOS Capacitor01:25

MOS Capacitor

666
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...
666

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相关实验视频

Updated: May 24, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

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一个全的基于memristor的内存计算系统,具有软硬件共同开发的系统.

Ruihua Yu1, Ze Wang1, Qi Liu1

  • 1School of Integrated Circuits, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China.

Nature communications
|March 3, 2025
PubMed
概括

本研究介绍了基于memristor的内存计算 (CIM) 系统的软硬件联合开发方法. 这种方法提高了灵活性和效率,提高了神经网络在训练和推理过程中的准确性.

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A Method for Growing Bio-memristors from Slime Mold
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In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
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相关实验视频

Last Updated: May 24, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

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A Method for Growing Bio-memristors from Slime Mold
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A Method for Growing Bio-memristors from Slime Mold

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科学领域:

  • 计算机工程 计算机工程
  • 材料科学 材料科学 材料科学
  • 人工智能的人工智能

背景情况:

  • 基于memristor的内存计算 (CIM) 系统由于硬件设计约束和手动参数调整而面临实用性的限制.
  • 优化CIM系统对于高效和强大的人工智能硬件至关重要.

研究的目的:

  • 开发一种软硬件共同开发方法,以提高基于memristor的CIM系统的灵活性和效率.
  • 提高神经网络模型对硬件非理想性和模拟计算噪声的稳定性.

主要方法:

  • 实现了一个灵活的硬件组件,支持各种数据流和映射策略.
  • 开发了用于自动模型放置和高效优化技术的软件.
  • 集成的软件和硬件,提供完整的共同开发解决方案.

主要成果:

  • 在四个任务中展示了六个神经网络模型中的系统.
  • 在培训期间,ResNet-32的准确性提高了4.76%.
  • 在芯片上的推断过程中,在模型中观察到3.32%至9.45%的准确性改进.

结论:

  • 拟议的软硬件联合开发方法显著提高了基于memristor的CIM系统的性能和实用性.
  • 自动优化方法提高模型的稳定性和抑制噪声,从而提高AI应用的准确性.