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相关概念视频

Machines01:19

Machines

274
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
274
Electro-mechanical Systems01:19

Electro-mechanical Systems

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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...
969
Semiconductors01:22

Semiconductors

708
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...
708
Mechanical Systems01:22

Mechanical Systems

207
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
207
Properties of the z-Transform I01:17

Properties of the z-Transform I

196
The z-transform is a fundamental tool in digital signal processing, enabling the analysis of discrete-time systems through its various properties. It is an invaluable tool for analyzing discrete-time systems, offering a range of properties that simplify complex signal manipulations. One fundamental property is linearity. For any two discrete-time signals, the z-transform of their linear combination equals the same linear combination of their individual z-transforms. This property is essential...
196
Pascal's Law01:04

Pascal's Law

8.6K
In 1653, the French philosopher and scientist Blaise Pascal published "Treatise on the Equilibrium of Liquids," which discussed the principles of static fluids. A static fluid is a fluid that is not in motion. When a fluid is not flowing, we say that the fluid is in static equilibrium. If the fluid is water, we say it is in hydrostatic equilibrium. For a fluid in static equilibrium, the net force on any part of the fluid must be zero; otherwise, the fluid will start to flow. Pascal...
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相关实验视频

Updated: Jul 8, 2025

Design and Optimization Strategies of a High-Performance Vented Box
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硬件是软件的软件.

Jérémie Laydevant1, Logan G Wright2, Tianyu Wang3

  • 1School of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA; USRA Research Institute for Advanced Computer Science, Mountain View, CA 94035, USA.

Neuron
|December 12, 2023
PubMed
概括
此摘要是机器生成的。

人类的大脑和身体不是运行软件的硬件;硬件本身就是软件. 神经形态工程师必须仔细选择神经科学灵感,因为生物和人工智能硬件之间存在不同的物理.

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科学领域:

  • 神经科学是一个神经科学.
  • 人工智能的人工智能
  • 生物物理学的生物物理.

背景情况:

  • 对生物系统作为运行软件的硬件的普遍观点受到挑战.
  • 了解生物硬件和软件的综合性质对于推进人工智能至关重要.

研究的目的:

  • 论证人类生物系统集成硬件和软件,与传统的计算模型不同.
  • 引导神经形态工程师选择合适的神经科学为AI开发提供灵感.

主要方法:

  • 生物学系统与计算硬件之间的关系的概念分析.
  • 人类生物系统和人工智能硬件的独特物理性质的比较推理.

主要成果:

  • 人类的大脑和身体作为一个统一的系统,其中"硬件"和"软件"是不可分割的.
  • 生物和人工智能硬件的独特物理需要选择性的灵感方法.

结论:

  • 神经形态工程不应该直接将生物系统等同于传统的硬件-软件范式.
  • 对生物物理学的细微理解对于有效的仿生AI设计至关重要.