Micron Technology had 79 patents in artificial intelligence during Q4 2023. Micron Technology Inc’s patents in Q4 2023 focus on deep learning access and authentication, inventory management using sensor data, data pre-fetching in a data storage system, managing health of memory devices, and performing operations by memory devices in a self-refresh state. These innovations aim to enhance computing efficiency, data management, and memory device performance. GlobalData’s report on Micron Technology gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Micron Technology grant share with artificial intelligence as a theme is 53% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Deep learning access and authentication in a computing architecture (Patent ID: US20230418925A1)
The patent filed by Micron Technology Inc. describes methods, systems, and devices for deep learning access and authentication in a computing architecture. The computing system includes a processor, a deep learning device, and a memory system. The deep learning device performs operations associated with the processor using a neural network, while the memory system verifies whether the processor is authorized to access the deep learning device and enables or disables access based on the verification. This system ensures secure access to the deep learning device, allowing it to perform operations only when authorized.
The patent further details various claims related to the apparatus and method, including the verification of processor authorization, enabling communications between the processor and deep learning device, and determining access based on identification information and subscription status. The apparatus may consist of multiple dies, with the memory system enabling or disabling interfaces based on verification. Additionally, the method involves performing an authentication procedure, determining processor authorization, and enabling communications accordingly. These claims highlight the innovative approach to deep learning access control, ensuring that only authorized processors can interact with the deep learning device, enhancing security and efficiency in computing 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.
