Electronic neuron based on skyrmion and artificial neural network

A magnetic skyrmion and neuron technology, applied in the field of artificial neural network, can solve the problems of large energy consumption, limited network structure and size, etc.

Active Publication Date: 2020-07-14
THE CHINESE UNIV OF HONG KONG SHENZHEN
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

First, the structure and size of the network will be limited by the size of neurons and synapses; second, such a large hardware facility will consume a lot of energy

Method used

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  • Electronic neuron based on skyrmion and artificial neural network
  • Electronic neuron based on skyrmion and artificial neural network
  • Electronic neuron based on skyrmion and artificial neural network

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Embodiment Construction

[0035] In order to facilitate understanding of the present application, the present application will be described more fully below with reference to the related drawings. The preferred embodiments of the present application are shown in the accompanying drawings. However, the present application may be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that a thorough and complete understanding of the disclosure of this application is provided.

[0036] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for the purp...

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Abstract

The invention relates to an electronic neuron based on skyrmion and an artificial neural network. The electronic neuron comprises a skyrmion generating and driving device and an annular detection device, wherein the skyrmion generating and driving device comprises a magnetic nano-film and a current injection layer; the current injection layer and the annular detection device are both arranged on the magnetic nano-film, and the current injection layer is arranged in the center of the annular detection device; the current injection layer is arranged to generate a magnetic skyrmion under the action of a generated current, and drive the magnetic skyrmion to move in a direction far away from the current injection layer under the action of a driving current, wherein the current density of the generated current is greater than that of the driving current; and the annular detection device is arranged to detect the magnetic skyrmion moving to the detection range of the annular detection device.According to the invention, the size and cost of the existing artificial neural network can be effectively reduced.

Description

technical field [0001] The invention relates to the technical field of artificial neural networks, in particular to a skyrmion-based electronic neuron and an artificial neural network. Background technique [0002] Similar to biological neural networks, existing artificial neural networks also contain a large number of neurons and synapses. These neurons and synapses are currently mainly composed of complementary metal oxide semiconductors (CMOS). Therefore, existing artificial neural networks will face two major challenges. First, the structure and size of the network will be limited by the size of neurons and synapses; second, such a large hardware facility must consume a lot of energy. SUMMARY OF THE INVENTION [0003] Based on this, it is necessary to provide a skyrmion-based electronic neuron and artificial neural network for the above problems. [0004] A skyrmion-based electronic neuron, comprising a skyrmion generating and driving device and a ring-shaped detect...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/06G06N3/063
CPCG06N3/061G06N3/063Y02D10/00
Inventor 梁雪张溪超周艳
Owner THE CHINESE UNIV OF HONG KONG SHENZHEN
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