Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

513
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...
513
Ampere's Law: Problem-Solving01:31

Ampere's Law: Problem-Solving

3.5K
Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
Specific steps need to be considered while calculating the symmetric magnetic field distribution...
3.5K
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
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

327
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
327
Interference and Decay01:16

Interference and Decay

104
Forgetting is a complex cognitive phenomenon influenced by several factors, among which interference and decay are particularly prominent. These processes explain why individuals often struggle to retrieve specific information from memory, leading to lapses in recall that can be observed in everyday situations.
Interference occurs when competing memories hinder the retrieval of particular information. It can be classified into two types: proactive and retroactive interference. Proactive...
104
Characteristics of OpAmp01:17

Characteristics of OpAmp

502
The operational amplifier, commonly known as an op-amp, is a specially designed electronic circuit component. Its purpose is to work in conjunction with other circuit elements to execute a defined signal-processing operation. Consider an equivalent circuit model of an op-amp, as depicted in Figure 1; the output section comprises a voltage-controlled source in parallel with the output resistance Ro.
502

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Supernetwork-based efficient mapping of deep learning applications to mixed-precision hardware using model adaptation.

Nature communications·2026
Same author

Analogue speech recognition based on physical computing.

Nature·2025
Same author

Training of physical neural networks.

Nature·2025
Same author

The growing memristor industry.

Nature·2025
Same author

Rapid learning with phase-change memory-based in-memory computing through learning-to-learn.

Nature communications·2025
Same author

Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing.

Nature computational science·2025

相关实验视频

Updated: May 27, 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

7.7K

模拟内存计算的固有的对抗性稳定性.

Corey Lammie1, Julian Büchel2, Athanasios Vasilopoulos2

  • 1IBM Research Europe, Rüschlikon, Switzerland. corey.lammie@ibm.com.

Nature communications
|February 19, 2025
PubMed
概括

模拟内存计算芯片增强了对抗攻击的深度神经网络稳定性. 这项研究通过实验验证,这些系统中固有的噪音为图像分类和自然语言处理任务提供了重要的防御.

科学领域:

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

背景情况:

  • 深度神经网络 (DNN) 容易受到对抗性攻击,造成安全风险.
  • 模拟内存计算 (AIMC) 基板,利用像相变内存 (PCM) 这样的设备,理论上可以提供固有的对抗性强度.
  • 缺乏对AIMC对DNN推断的对抗性稳定性的实验验证.

研究的目的:

  • 在AIMC芯片上实验验验证DNN推理的对抗性稳定性.
  • 调查噪声对AIMC系统对抗性强度的来源和影响.
  • 在AIMC上评估较大的变压器网络的稳定性,用于自然语言处理 (NLP) 任务.

主要方法:

  • 在基于PCM的AIMC芯片上实现图像分类DNN.
  • 对各种攻击类型的对抗性强度的评估,包括硬件在循环中的 (HITL) 攻击.
  • 对有助于强度的随机噪声源 (经常性和非经常性) 的分析.
  • 在AIMC上模拟用于NLP任务的变压器网络.

主要成果:

  • 与图像分类的传统方法相比,AIMC芯片显示出明显更高的对抗性稳定性.
  • 此外,HITL攻击的有效性也降低了,这表明了硬件级防御.

更多相关视频

In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
09:49

In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx

Published on: May 13, 2020

4.0K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.8K

相关实验视频

Last Updated: May 27, 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

7.7K
In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx
09:49

In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx

Published on: May 13, 2020

4.0K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.8K
  • 随机噪声来源被确定为对抗性强度的主要贡献者,其特征显著影响防御.
  • 模拟证实在NLP任务中更大的变压器网络的持续稳定性.
  • 结论:

    • 模拟内存计算,特别是基于PCM的系统,为增强DNN对抗性强度提供了一个有希望的基于硬件的解决方案.
    • 在AIMC中固有的随机噪声对这种防御机制至关重要.
    • 在不同的网络架构和任务中,AIMC是强大的AI推断的可行基质.