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System and method for applying a deep learning neural network to data obtained from one or more sensors

机译:用于将深度学习神经网络应用于从一个或多个传感器获得的数据的系统和方法

摘要

An application provisioning system and method. A server provides an application provisioning service. A user of a client provides a schema defining an application. The application interacts with peripherals coupled to the client and receives input from sensors coupled to the peripherals. The sensor data is provided to the server for processing, including by neural networks. The application includes a workflow defining a finite state machine that traverses states at least partially based on the response to sensor data. The server may provide dynamic reallocation of compute resources to resolve demand for classifier training job requests; use of jurisdictional certificates to define data usage and sharing; and data fusion. Applications include manufacturing verification, medical diagnosis and treatment, genomics and viral detection.
机译:应用程序供应系统和方法。服务器提供应用程序供应服务。客户端的用户提供定义应用程序的架构。该应用程序与耦合到客户端的外围设备进行交互,并从耦合到外围设备的传感器接收输入。传感器数据通过神经网络提供给服务器进行处理。该应用程序包括定义有限状态机的工作流,该有限状态机至少部分地基于对传感器数据的响应来遍历状态。服务器可以提供计算资源的动态重新分配,以解决对分类器训练作业请求的需求。使用管辖权证书定义数据的使用和共享;和数据融合。应用包括制造验证,医学诊断和治疗,基因组学和病毒检测。

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