Silicon Laboratories had one patents in artificial intelligence during Q2 2024. The patent filed by Silicon Laboratories Inc in Q2 2024 involves a method using machine learning to analyze power plot information related to communication between a wireless device and an access point. The ML classifier determines if there is an anomalous condition in beacon communication and classifies the type of anomaly detected. GlobalData’s report on Silicon Laboratories gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Silicon Laboratories had no grants in artificial intelligence as a theme in Q2 2024.

Recent Patents

Application: Classifying access point beacon communications using machine learning (Patent ID: US20240175970A1)

The patent filed by Silicon Laboratories Inc. describes a method that involves using machine learning to analyze power plot information related to communication between a wireless device and an access point. The method aims to detect anomalous conditions in beacon communication and classify the type of anomaly. The system includes a computer-readable medium with instructions for performing the method, storing information about anomalous beacon communication in a database, and communicating this information to an integrated circuit designer for configuring the wireless device's radio frequency circuitry based on the anomaly type.

Additionally, the patent outlines a method for configuring a wireless device to operate in standby mode, measuring power consumption during beacon communication, and providing this data to a machine learning classifier for analysis. The system includes transceiver circuitry, a power monitor, a controller to generate power plot information, an ML classifier to identify anomalies in beacon communication, and a configuration circuit to update transceiver settings based on anomaly detection. The system can also send power plot information to a cloud-based storage for further analysis and association with the access point's identification.

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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.