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Fast Optoelectronic Neural Network for Vision Applications

机译:用于视觉应用的快速光电神经网络

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This paper reports the recent steps to the attainment of a compact high-speed optoelectronic neuroprocessor based on an optical broadcast architecture that is used as the processing core of a vision system. The optical broadcast architecture is composed of a set of electronic processing elements that work in parallel and whose input is introduced by means of an optical sequential broadcast interconnection. Because of the special characteristics of the architecture, that exploits electronics for computing and optics for communicating, it is readily scalable in number of neurons and speed, thus improving the performance of the vision system. This paper focuses on the improvement of the optoelectronic system and electronic neuron design to increase operation speed with respect to previous designs.
机译:本文报告了基于光学广播架构实现了紧凑型高速光电神经过程的近期步骤,该架构用作视觉系统的处理核心。光学广播架构由一组并行工作的电子处理元件组成,并且其输入通过光学顺序广播互连引入。由于架构的特殊特性,利用电子设备进行计算和光学器件进行通信,它在神经元数量和速度的数量方面易于扩展,从而提高了视觉系统的性能。本文重点介绍了光电系统和电子神经元设计的改进,以提高先前设计的运行速度。

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