Micron Technology had 97 patents in artificial intelligence during Q2 2024. Micron Technology Inc filed patents in Q2 2024 for a device with a state machine containing programmable elements for data analysis, a system for neural architecture search and model optimization, training artificial neural networks on edge devices, abnormal sound detection in mechanized environments, and analysis of synapses for neuromorphic arrays. These patents focus on improving data analysis, model optimization, training efficiency, and system characterization in various technological applications. 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 had no grants in artificial intelligence as a theme in Q2 2024.

Recent Patents

Application: Methods and systems for power management in a pattern recognition processing system (Patent ID: US20240211761A1)

The patent filed by Micron Technology Inc. describes a device with a state machine that includes multiple blocks, each containing rows of programmable elements that analyze data streams and provide analysis results. The blocks have block activation logic to dynamically power them up based on programming instructions received separately from the data stream. The system includes a processor, a state machine engine, an input for data streams, and a programming interface to configure the elements initially.

The claims detail the configuration of the system, including block activation based on programming instructions, analysis of data streams by configurable elements, and the involvement of specific blocks based on indications received. The method described involves receiving indications regarding block involvement in data analysis, determining the initial analysis block, and providing a block activation signal based on these indications to power up the configurable elements. Overall, the patent focuses on a system and method for efficient data analysis using programmable elements within blocks of a state machine.

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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.