BlackBerry had 17 patents in artificial intelligence during Q2 2024. BlackBerry Ltd filed patents in Q2 2024 for anomaly detection using a full batch model, restricting access to vehicle-associated information based on privacy criteria, and identifying malicious code using machine learning to compare code segments. GlobalData’s report on BlackBerry gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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

Recent Patents

Application: Method and system for incremental centroid clustering (Patent ID: US20240202336A1)

The patent filed by BlackBerry Ltd. describes a method for anomaly detection using a computing device. The method involves storing a full batch model for data points associated with clusters, receiving new data points, detecting anomalies when they fall outside the model, and taking actions based on the anomalies. The computing device creates the model by adding data points to clusters based on distance thresholds and updates cluster information incrementally. It can also create new clusters for data points that do not fit within existing clusters, manage the number of clusters, and adjust thresholds accordingly. The device can store only incremental information about each cluster and take actions such as providing alerts or autonomously controlling associated devices. The computing device can be used as an edge device within an Internet of Things system.

In summary, the patent outlines a method, computing device, and computer storage medium for anomaly detection that involves creating and updating a full batch model for data points in clusters, detecting anomalies, and taking appropriate actions. The method includes cluster management, threshold adjustments, and incremental information storage, while the device can provide alerts and control devices. This technology is particularly suitable for edge devices in IoT systems.

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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.