Micron Technology had 24 patents in big data during Q1 2024. Micron Technology Inc filed patents for a data analysis system with a state machine lattice, a system with a hardware accelerator for data analysis, a microelectronic device with a stack structure and memory cells, an electronic device with insulative and conductive structures, and a microelectronic device with block and non-block regions. These patents focus on improving data analysis, memory storage, and electronic device structures. GlobalData’s report on Micron Technology gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Micron Technology grant share with big data as a theme is 37% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Methods and systems for handling data received by a state machine engine (Patent ID: US20240104020A1)
The patent filed by Micron Technology Inc. describes a data analysis system that includes a data buffer, a state machine lattice with multiple data analysis elements, and a buffer interface. The data buffer receives data to be analyzed, which is then processed by the state machine lattice consisting of memory cells to output analysis results. The buffer interface facilitates the transfer of data from the data buffer to the state machine lattice, enabling efficient data analysis.
The system further includes configurable elements within the state machine lattice that can be adjusted based on configuration instructions from a host processor. Data is transferred in bursts from the data buffer to the buffer interface, with each burst containing a predetermined portion of data for analysis. The system also allows for the transfer of analysis results to a second set of configurable elements or a second data buffer. Overall, the system provides a structured approach to data analysis, utilizing memory cells within the state machine lattice to process data efficiently and accurately.
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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.
