NXP Semiconductors had seven patents in artificial intelligence during Q1 2024. The patents filed by NXP Semiconductors NV in Q1 2024 focus on methods for detecting targets using ultra-wideband radar operations, as well as protecting machine learning models from side channel attacks. The first patent involves detecting targets by analyzing movement data from UWB radar and ranging operations. The second and third patents detail techniques for safeguarding machine learning models by manipulating weighted sums and connections between layers to prevent side channel attacks. GlobalData’s report on NXP Semiconductors gives a 360-degree view of the company including its patenting strategy. Buy the report here.

NXP Semiconductors grant share with artificial intelligence as a theme is 57% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Target detection method and system (Patent ID: US20240053461A1)

The patent by NXP Semiconductors NV describes a method for detecting a target using ultra-wideband (UWB) radar and ranging operations. The method involves generating detection outputs based on the results of these operations, which are then analyzed by a processing unit to determine the target movement. The system includes a first detection unit for radar operations, a second detection unit for ranging operations, and a processing unit for decision-making based on the outputs.

The patent also covers the implementation of the detection units within the same device, the use of machine learning algorithms for generating detection outputs, and the determination of distances between the detection unit and UWB-enabled communication devices. Additionally, the system can determine if the target remains within a predefined area for a specific amount of time. The computer program and target detection system described in the patent provide a comprehensive approach to target detection using UWB technology, offering potential applications in various fields requiring accurate and reliable target tracking capabilities.

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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.