Intel had 68 patents in internet of things during Q1 2024. Intel Corp filed patents in Q1 2024 for techniques enabling AI capabilities at a network switch, circuit arrangements for predicting user movement and controlling radio activity, implementing software-defined industrial systems with self-descriptive control applications, automated detection and control of audio-based conditions for headsets, and training hyperdimensional computing models on edge computing devices. GlobalData’s report on Intel gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Intel grant share with internet of things as a theme is 66% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Techniques for artificial intelligence capabilities at a network switch (Patent ID: US20240080246A1)

The patent filed by Intel Corp. describes techniques for implementing artificial intelligence (AI) capabilities at a network switch. The device includes an interface for connecting to multiple links, an inference resource, and circuitry for loading a neural network to support AI services for network tenants. The device can receive AI service requests, input data payloads to the neural network, and forward results to requestors. The inference resource can be various types of processing units, and the neural network can be different architectures for specific AI tasks like natural language processing or autonomous driving.

The patent also covers scenarios where AI service requests cannot be fulfilled using the loaded neural network, in which case the requests are forwarded to a separate inference resource. The patent further details the types of AI services that can be supported, such as vehicle-to-vehicle communication, augmented reality, autonomous driving, video analytics, and language analysis. The device can function as a switch, and the second inference resource can be located remotely. The patent also includes instructions for machine-readable mediums and a method for implementing the described techniques, emphasizing the loading of neural networks to support AI services and the handling of AI service requests based on the capabilities of the neural network.

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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.