"State Change Detection For Resuming Classification Of Sequential Sensor Data On Embedded Systems" in Patent Application Approval Process (USPTO 20240078425).

A patent application by inventor Haijun Zhao describes a method and apparatus for operating an artificial neural network. The invention focuses on detecting state changes in sequential sensor data and triggering the network to perform a classification in response to these changes. The goal is to incorporate deep neural networks into low-power devices that stream data, such as IoT devices and smartphones. The patent application provides detailed descriptions of the method and apparatus, including various embodiments and features. [Extracted from the article]

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