Micron Technology had 113 patents in cybersecurity during Q4 2023. Micron Technology Inc has filed patents for methods, systems, and devices related to deep learning access and authentication, detecting information modification in memory systems, utilizing non-traditional refresh schemes in non-volatile memory, generating responses to mitigate row hammer attacks, and preventing unauthorized access to memory devices using OTP memory. These technologies aim to enhance security, performance, and reliability in computing architectures. 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 cybersecurity as a theme is 37% 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 system includes a processor, a deep learning device, and a memory system that verifies whether the processor is authorized to access the deep learning device and enables or disables access based on this verification. The memory system can determine authorization based on identification information and subscription status, allowing for controlled access to the deep learning device for performing operations using a neural network.
The apparatus and method outlined in the patent involve authentication procedures to verify processor authorization to access the deep learning device, enabling communications between the processor and the deep learning device accordingly. The system architecture includes different layers and interfaces for accessing the deep learning device, with the memory system controlling access based on identification information and subscription status. This approach ensures secure and controlled access to the deep learning device, allowing for efficient operation and utilization of the neural network capabilities within the computing architecture.
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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.
