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1. 发明授权

US07958071B2 Computational nodes and computational-node networks that include dynamical-nanodevice connections 有权
标题翻译：包括动态 - 纳联设备连接的计算节点和计算节点网络
公开(公告)号：US07958071B2
公开(公告)日：2011-06-07
申请号：US11788447
申请日：2007-04-19
申请人： Gregory S. Snider , Warren J. Robinett
发明人： Gregory S. Snider , Warren J. Robinett
IPC分类号： G06E1/00
CPC分类号： G06N3/063
摘要： Embodiments of the present invention are employ dynamical, nanoscale devices, including memristive connections between nanowires, for constructing parallel, distributed, dynamical computational networks and systems, including perceptron networks and neural networks. In many embodiments of the present invention, neuron-like computational devices are constructed from silicon-based microscale and/or submicroscale components, and interconnected with one another by dynamical interconnections comprising nanowires and memristive connections between nanowires. In many massively parallel, distributed, dynamical computing systems, including the human brain, there may be a far greater number of interconnections than neuron-like computational nodes. Use of dynamical nanoscale devices for these connections results in enormous design, space, energy, and computational efficiencies.
摘要翻译：本发明的实施例采用动态纳米级器件，包括纳米线之间的忆阻连接，用于构建并行，分布式，动态计算网络和包括感知器网络和神经网络的系统。在本发明的许多实施例中，类似神经元的计算设备由硅基微尺度和/或亚微米级元件构成，并且通过包括纳米线和纳米线之间的忆阻连接的动态互连彼此互连。在许多大规模并行，分布式，动态计算系统（包括人类大脑）中，可能存在比神经元状计算节点更多的互连数。对这些连接使用动态纳米级器件可以产生巨大的设计，空间，能量和计算效率。

2. 发明申请

US20080258767A1 Computational nodes and computational-node networks that include dynamical-nanodevice connections 有权
标题翻译：包括动态 - 纳联设备连接的计算节点和计算节点网络
公开(公告)号：US20080258767A1
公开(公告)日：2008-10-23
申请号：US11788447
申请日：2007-04-19
申请人： Gregory S. Snider , Warren J. Robinett
发明人： Gregory S. Snider , Warren J. Robinett
IPC分类号： G06F7/38
CPC分类号： G06N3/063
摘要： Embodiments of the present invention are employ dynamical, nanoscale devices, including memristive connections between nanowires, for constructing parallel, distributed, dynamical computational networks and systems, including perceptron networks and neural networks. In many embodiments of the present invention, neuron-like computational devices are constructed from silicon-based microscale and/or submicroscale components, and interconnected with one another by dynamical interconnections comprising nanowires and memristive connections between nanowires. In many massively parallel, distributed, dynamical computing systems, including the human brain, there may be a far greater number of interconnections than neuron-like computational nodes. Use of dynamical nanoscale devices for these connections results in enormous design, space, energy, and computational efficiencies.
摘要翻译：本发明的实施例采用动态纳米级器件，包括纳米线之间的忆阻连接，用于构建并行，分布式，动态计算网络和包括感知器网络和神经网络的系统。在本发明的许多实施例中，类似神经元的计算设备由硅基微尺度和/或亚微米级元件构成，并且通过包括纳米线和纳米线之间的忆阻连接的动态互连彼此互连。在许多大规模并行，分布式，动态计算系统（包括人类大脑）中，可能存在比神经元状计算节点更多的互连数。对这些连接使用动态纳米级器件可以产生巨大的设计，空间，能量和计算效率。

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