ASUSTeK Computer had two patents in artificial intelligence during Q4 2023. ASUSTeK Computer Inc filed a patent for an artificial intelligence model control system that includes multiple AI model service modules, model plugins, and a model controller to control all modules to perform tasks efficiently. Another patent filed by the company is for a signal abnormality detection system and method, which involves a signal sensor generating a sample signal, a computing device correcting and transforming the signal, and using an abnormality detection model to determine if the sample signal is abnormal. GlobalData’s report on ASUSTeK Computer gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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ASUSTeK Computer grant share with artificial intelligence as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Artificial intelligence model control system (Patent ID: US20230408987A1)
The patent filed by ASUSTeK Computer Inc. describes an artificial intelligence model control system that includes multiple artificial intelligence model service modules, corresponding model plugins, and a model controller. Each model plugin communicates with a specific artificial intelligence model service module, allowing the model controller to control all modules to perform tasks efficiently. The system operates by generating requests from the model plugins to the corresponding service modules based on instructions from the model controller, with responses transmitted back to the controller through the plugins. Additionally, the model plugins communicate with the service modules through a Web API, and each service module includes a model interface and an artificial intelligence model for seamless task execution.
Furthermore, the artificial intelligence model control system can be deployed on the same computer mainframe or across different computers. When a specific service module is disabled, it is directly disabled in the model controller to ensure efficient operation. The system also includes a user interface for data input to the model controller and utilizes independent dynamic link libraries for each model plugin. Tasks that can be performed by the system include training, verification, deployment, and inference, making it versatile for various artificial intelligence applications. Overall, the system streamlines the control and operation of multiple artificial intelligence models through a centralized model controller, enhancing efficiency and performance in AI tasks.
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