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相关概念视频

Potentiometry: Membrane Electrodes01:15

Potentiometry: Membrane Electrodes

606
Membrane electrodes, also known as p-ion electrodes, use membranes that selectively interact with free analyte ions, generating a potential difference across the membrane. The resulting membrane potential, known as the asymmetry potential, is not zero even when analyte concentrations on both sides of the membrane are equal. The membrane's response is typically not selective to a single analyte but proportional to the concentration of all ions in the sample solution capable of interacting at...
606
MOS Capacitor01:25

MOS Capacitor

817
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...
817

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相关实验视频

Updated: Jul 15, 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

7.8K

开放循环模拟可编程电化学内存阵列.

Peng Chen1, Fenghao Liu1, Peng Lin2,3

  • 1College of Computer Science and Technology, Zhejiang University, Hangzhou, China.

Nature communications
|October 4, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的电化学记忆 (ECRAM) 阵列,用于神经网络中高效的模拟编程. 开发的ECRAM能够准确地在现场训练人工智能硬件,实现高分类准确度.

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Regeneration of Arrayed Gold Microelectrodes Equipped for a Real-Time Cell Analyzer
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Regeneration of Arrayed Gold Microelectrodes Equipped for a Real-Time Cell Analyzer

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Chronic Implantation of Multiple Flexible Polymer Electrode Arrays
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Chronic Implantation of Multiple Flexible Polymer Electrode Arrays

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相关实验视频

Last Updated: Jul 15, 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

7.8K
Regeneration of Arrayed Gold Microelectrodes Equipped for a Real-Time Cell Analyzer
12:47

Regeneration of Arrayed Gold Microelectrodes Equipped for a Real-Time Cell Analyzer

Published on: March 12, 2018

7.2K
Chronic Implantation of Multiple Flexible Polymer Electrode Arrays
08:54

Chronic Implantation of Multiple Flexible Polymer Electrode Arrays

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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算机科学 计算机科学
  • 电气工程 电气工程

背景情况:

  • 新兴记忆为神经网络提供低功耗的模拟计算.
  • 设备的非理想性限制了内存阵列中准确的模拟编程.
  • 这阻碍了人工智能 (AI) 的现场培训应用.

研究的目的:

  • 为了展示一个被动电化学记忆 (ECRAM) 阵列,用于准确的模拟编程.
  • 为了使神经网络能够使用新兴的内存硬件进行有效的现场训练.
  • 为了克服AI硬件中设备非理想性所带来的局限性.

主要方法:

  • 开发了一种被动电化学记忆 (ECRAM) 阵列.
  • 使用开放循环,串行方法将图像模式编程到ECRAM阵列中.
  • 在现场训练ECRAM阵列上的双层神经网络.
  • 模拟训练用于像VGG-8这样的大规模神经网络.

主要成果:

  • 在没有反调整的情况下实现了高编程精度.
  • 证明了出色的开环模拟可编程性.
  • 达到99.4%的软件类型分类准确度,用于毒检测.
  • 通过模拟验证了对大规模神经网络的训练能力.

结论:

  • ECRAM阵列为准确的模拟编程提供了一个可行的解决方案.
  • 这项技术促进了神经网络在人工智能硬件中的现场训练.
  • 在新兴的基于内存的AI系统中实现学习功能的新途径.