Intel had 22 patents in edge computing during Q1 2024. Intel Corp’s Q1 2024 patents focus on environmentally conscious data storage, cyber-physical protections in edge computing, compression in machine learning, training hyperdimensional computing models, and deployment of containers on cloud and edge computing hardware. These patents aim to improve efficiency, security, and performance in various computing applications. 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 edge computing as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Methods and apparatus to store data based on an environmental impact of a storage device (Patent ID: US20240103743A1)

The patent filed by Intel Corp. discloses systems, apparatus, and methods for storing data based on the environmental impact of a storage device. The apparatus includes programmable circuitry to determine the environmental impact associated with storing data in different storage devices and select the storage device based on the impact. The programmable circuitry can generate a metric identifier and base priority value for the data, adjust the priority value based on historical information or environmental impacts, and track stored data to generate historical information.

Furthermore, the patent covers a non-transitory machine-readable storage medium with instructions to determine environmental impacts associated with writing data in different storage devices and select the storage device based on these impacts. The instructions also include discarding data if it is duplicative or below a certain priority threshold, as well as determining if the data corresponds to stored data and using historical information to decide where to write the data. Overall, the patent focuses on optimizing data storage decisions based on environmental impacts and historical information to improve efficiency and reduce negative environmental effects.

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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.