Micron Technology had 102 patents in artificial intelligence during Q1 2024. Micron Technology Inc has filed patents for methods, systems, and devices related to video stream augmentation using deep learning, data analysis systems with state machine lattice, memory cell arrays with inverted weight data, and methods to balance computation accuracy and energy consumption. These inventions aim to improve data analysis, neural network processing, and error-handling operations in memory devices, showcasing a focus on innovation in technology and artificial intelligence. GlobalData’s report on Micron Technology gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Micron Technology grant share with artificial intelligence as a theme is 44% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Video stream augmentation using a deep learning device (Patent ID: US20240104897A1)

The patent filed by Micron Technology Inc. describes methods, systems, and devices for video stream augmentation using a deep learning device in a vehicle. The deep learning device receives video streams from vehicle cameras and sensor inputs, processes and modifies the video stream based on parameters and information detected by the sensors, and transmits the augmented video stream to a display component associated with the vehicle's rearview mirror. The modifications may include identifying other vehicles in the video stream, adjusting brightness levels, inserting outlines of vehicles, and enhancing low-light artifacts. The system aims to improve the visual representation of the environment around the vehicle for better situational awareness and safety.

The patent claims detail the specific operations and functionalities of the deep learning device within the vehicle system. These include identifying and inserting information about other vehicles in the video stream, adjusting brightness levels based on illuminance thresholds, and enhancing low-light artifacts. The deep learning device works in conjunction with cameras, sensors, and a display component to provide real-time augmented video streams to the driver. The system utilizes machine learning models to process data from various sensors and cameras, enhancing the overall visual representation displayed on the vehicle's rearview mirror. The technology aims to improve driver awareness, safety, and overall driving experience by providing more detailed and accurate visual information about the vehicle's surroundings.

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