Intel had 267 patents in artificial intelligence during Q4 2023. Intel Corp’s Q4 2023 patents focus on private network mobility management, smart convolution in machine learning, resource allocation across data centers, assisted data review for active learning cycles, and adaptive resolution and viewpoint prediction for immersive media. These technologies aim to improve network communication, training of neural networks, resource utilization, data annotation, and immersive media experiences in computing environments. GlobalData’s report on Intel gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Intel grant share with artificial intelligence as a theme is 45% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems, apparatus, articles of manufacture, and methods for private network mobility management (Patent ID: US20230421253A1)
The patent filed by Intel Corp. discloses methods, apparatus, systems, and articles of manufacture for private network mobility management. The invention involves a private network in a box that includes interface circuitry to communicate with terrestrial and non-terrestrial network nodes, machine-readable instructions, and programmable circuitry. This programmable circuitry generates two meshes associated with a geographical area of the private network, aligns network nodes with these meshes, and facilitates communication for user equipment within the network. The system also utilizes machine learning models to predict user equipment locations and optimize communication channels based on signal characteristics.
The patent further details specific claims related to the private network in a box, including the generation of meshes based on location data, determining the quantity of network nodes required, predicting user equipment locations, and selecting communication channels based on signal characteristics. The programmable circuitry within the system is designed to enhance location resolution as the connectivity level between user equipment and the private network increases. Additionally, the patent describes a method for implementing these functionalities, emphasizing the prediction of user equipment locations, authorization for communication with network nodes, and selection of optimal communication channels based on signal characteristics. Overall, the patent focuses on improving private network mobility management through innovative mesh generation, node alignment, and communication optimization techniques.
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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.
