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MOS Capacitor01:25

MOS Capacitor

631
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...
631
Mnemonic Devices01:23

Mnemonic Devices

45
Mnemonic devices are cognitive tools that facilitate memory retention by linking new information to familiar patterns or organizational strategies. These techniques are beneficial for remembering complex or lengthy sets of information by simplifying and structuring them in easily retrievable ways.
Acronyms
Acronyms are created by using the initial letters of a series of words to form a new word or phrase. This approach condenses complex information into a single, memorable entity. For example,...
45
Working Memory01:24

Working Memory

95
Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
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System of Memory01:23

System of Memory

3.9K
Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...
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Implicit Memories01:24

Implicit Memories

52
Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...
52
Understanding Memory01:19

Understanding Memory

185
Memory is the retention of information or experiences over time, facilitated through three main processes: encoding, storage, and retrieval. Encoding is the process of inputting information into the memory system. For instance, when listening to a lecture, watching a play, reading a book, or having a conversation, the brain is actively encoding information. This initial stage involves transforming sensory input into a form that can be processed and stored by the brain. Various factors, such as...
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相关实验视频

Updated: May 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

7.7K

非挥发性记忆材料和物理建模用于内存和内传感器计算.

Shao-Xiang Go1, Kian-Guan Lim1, Tae-Hoon Lee2,3

  • 1Department of Science, Mathematics and Technology Singapore University of Technology and Design Singapore 487372 Singapore.

Small science
|April 11, 2025
PubMed
概括

内存计算为传统计算机架构的能源和时间成本提供了解决方案. 本综述探讨了人工智能应用中高效,集成计算的记忆材料.

关键词:
大脑启发的神经形态计算在内存计算中的内存计算.在传感器内进行计算.分子动力学模拟,分子动力学模拟不易挥发的记忆性材料物理上的不可克隆的功能.

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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 15, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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Published on: March 9, 2019

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A Method for Growing Bio-memristors from Slime Mold
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科学领域:

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

背景情况:

  • 传统的·诺伊曼架构由于存储器和处理单元之间的数据传输而面临能源和时间低效.
  • 数据密集型应用,特别是人工智能 (AI),加剧了这些局限性,需要新的计算范式.
  • 内存计算 (IMC) 作为一种非·诺伊曼策略而出现,在内存元素中执行计算以克服这些瓶.

研究的目的:

  • 为内存和传感器计算提供记忆材料 (MM) 系统的概述.
  • 调查MM系统在诸如脑启发计算,物理非克隆函数和随机数生成等领域的应用.
  • 要总结最近的理论进展,解释MM系统的快速切换特性.

主要方法:

  • 对三种原型记忆材料系统的切换特征和系统签名的审查.
  • 对传感器内和内存计算的集成应用程序的调查.
  • 关于快速切换在记忆材料中的结构起源的理论研究的摘要.

主要成果:

  • 记忆材料通过利用它们的物理特征,为内存和内传感器计算提供了可行的途径.
  • 应用范围跨越多个领域,包括人工智能,神经形态工程和安全计算.
  • 理论见解正在加深对这些材料性能背后的基本机制的理解.

结论:

  • 采用记忆材料的内存计算,为节能和高性能计算提供了传统架构的有希望的替代方案.
  • 对MM系统及其理论基础的进一步研究对于推进人工智能和其他数据密集型应用至关重要.
  • 将计算集成到传感元件中可以最大限度地减少数据的移动,为更高效,更强大的计算系统铺平了道路.