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Stochastic logics for low cost and low power wearable applications

机译:低成本和低功耗可穿戴应用的随机逻辑

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This paper gives a special insight standing on an unusual computing algorithm ??? stochastic computing ??? to discuss the strategy on designing low cost and low power smart wearable devices from the system architecture view. Some new stochastic logics are introduced to approximate complex mathematic functions like the Gaussian function with simple circuits, which are used to build the low cost and low power artificial neural network for data intensive applications for the smart wearable devices. The data process kernel is distributed close to the data source. An experiment on the facial recognition shows how the system complexity, speed, cost, power, and flexibility can be improved by the stochastic logic architecture.
机译:本文针对不寻常的计算算法给出了特殊的见解?随机计算从系统架构的角度讨论设计低成本和低功耗智能可穿戴设备的策略。引入了一些新的随机逻辑来近似复杂的数学函数,例如具有简单电路的高斯函数,这些函数用于为智能可穿戴设备的数据密集型应用构建低成本,低功耗的人工神经网络。数据处理内核分布在靠近数据源的位置。面部识别实验表明,随机逻辑架构可以改善系统的复杂性,速度,成本,功能和灵活性。

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