影响突触的纳米级器件设计

Rinat Galiautdinov
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引用次数: 1

摘要

这项研究描述了纳米级设备,它们的一般结构,以及它们如何影响突触。这种基于人工智能新方法的设备将在许多领域发挥重要作用。该研究还描述了建立在生物神经元基础上的编程神经元结构。与现有的基于面向二进制处理的经典节点实现神经元的技术设备不同,所提出的路径是基于数字数据(突触)的位并行处理来获得结果。所提出的实现神经元的方法可以为构建具有更高生物信息处理速度和良好生存能力的基于神经元的计算机提供新的基础。
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Design of Nano-Scale Devices Affecting Synapses
The research describes the nano scale devices, their general architecture, and how they affect the synapses. Such devices, based on the new approach in artificial intelligence, will play a significant role in many spheres. The research also describes the architecture of the programming neuron built on the basis of a biological one. Unlike existing technical devices for implementing a neuron based on classical nodes oriented to binary processing, the proposed path is based on bit-parallel processing of numerical data (synapses) for obtaining result. The proposed approach of implementing a neuron can serve as a new elementary basis for the construction of neuron-based computers with a higher processing speed of biological information and good survivability.
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