ViaSat had two patents in artificial intelligence during Q1 2024. ViaSat Inc filed a patent for methods, systems, and devices for tuning RF apparatus configuration settings using a machine learning engine to optimize performance metrics within defined bounds. GlobalData’s report on ViaSat gives a 360-degree view of the company including its patenting strategy. Buy the report here.

ViaSat had no grants in artificial intelligence as a theme in Q1 2024.

Recent Patents

Application: Machine learning based tuning of radio frequency apparatuses (Patent ID: US20240044961A1)

The patent filed by ViaSat Inc. describes methods, systems, and devices for tuning the configuration settings of RF apparatuses using a machine learning engine. The system includes a radio frequency apparatus that operates based on various configuration settings to generate an output signal with a specific performance metric. A tuner with a machine learning engine is used to search for a target configuration setting that meets defined optimization threshold values, enhancing the performance of the RF apparatus.

The system further includes a tester that controls the RF apparatus based on test configuration settings identified by the tuner, optimizing parameters such as amplitude variation, rise time, output power, and spectral emissions. The machine learning engine executes a Bayesian optimization algorithm to identify test configuration settings based on historic performance metrics. The method involves applying a machine learning model to generate test configuration settings, comparing performance evaluation data to a target dataset, and adjusting hyperparameters based on performance metrics to determine optimal configuration settings. The computer program product includes instructions for controlling RF apparatus operations, updating machine learning models, and determining test configuration settings based on predicted performance data, ultimately optimizing the RF apparatus for specific applications like digital communications networks.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.