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1. 发明申请

WO2017200770A1 PREDICTIVE SYSTEM FOR INDUSTRIAL INTERNET OF THINGS 审中-公开
标题翻译：事物的工业互联网预测系统
公开(公告)号：WO2017200770A1
公开(公告)日：2017-11-23
申请号：PCT/US2017/031245
申请日：2017-05-05
申请人： INTEL CORPORATION
发明人： SINDIA, Suraj , AGARWAL, Shruti , YELTEN, Mustafa Berke , TICE, Christopher L. , JANCZAK, Teresa Krystyna , JOHNSON, Scott C.
IPC分类号： H01L21/66 , G06N3/08
CPC分类号： G06N7/005 , G01R31/2894 , G06N3/02 , G06N3/08 , G06Q10/063 , H01L22/14 , H01L22/20
摘要： Systems, apparatuses, and methods for enabling sensor discovery in autonomous devices herein. An example device to perform system-level verification predictions includes a neural network circuit including a neural network. During a first phase, the neural network circuit to train the neural network using respective assembly-level test data and the system-level verification test data associated with each of a first plurality of semiconductor dice. The first plurality of semiconductor dice is produced from a plurality of training wafers. During a second phase, the neural network circuit to determine, using the neural network, a system-level pass/fail decision for each of second plurality of semiconductor dice based on respective assembly-level test data associated with each of the second plurality of semiconductor dice. The second plurality of semiconductor dice is produced from a plurality of production wafers.
摘要翻译：本文中用于在自主设备中启用传感器发现的系统，设备和方法。执行系统级验证预测的示例设备包括包含神经网络的神经网络电路。在第一阶段期间，神经网络电路使用各自的组装级测试数据和与第一多个半导体管芯中的每一个相关联的系统级验证测试数据来训练神经网络。第一组多个半导体管芯由多个训练晶圆制成。在第二阶段期间，神经网络电路使用神经网络基于与第二多个半导体中的每一个相关联的相应组件级测试数据来确定用于第二多个半导体管芯中的每一个的系统级通过/ 骰子。第二多个半导体管芯由多个生产晶圆制成。

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