Sony Group had 376 patents in artificial intelligence during Q2 2024. Sony Group Corp filed patents in Q2 2024 for electronic devices and methods using neural network models for disease prognosis based on demographic information and anatomical images, as well as for dynamic point cloud compression using a rate adaptive codec. Another patent focuses on linking captured images with hash values to suppress load increase, while another patent involves using machine learning models in cloud gaming systems for determining encoding parameter settings. Additionally, a patent was filed for an information processing device and method for measuring the position of a microphone using spread spectrum modulation signals from two speakers. GlobalData’s report on Sony Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Sony Group had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Disease prognosis based on demographic information and anatomical image using neural network models (Patent ID: US20240212133A1)
The patent filed by Sony Group Corp describes an electronic device and method for disease prognosis using neural network models based on demographic information and anatomical images. The device receives demographic information, determines an ailment associated with a person's anatomical region using a neural network model, selects a second neural network model based on the ailment, and assesses disease severity using images. The device then controls a display to show information about the disease severity and ailment, allowing for personalized healthcare recommendations.
The electronic device can analyze various anatomical regions and demographic information to determine ailments such as infectious, genetic, or lifestyle-related diseases. It can track disease progression over time by comparing disease severity at different instances, providing insights into the ailment's development. Additionally, the device can generate therapeutic recommendations based on neural network analysis of ailment and progression data, offering personalized treatment plans encompassing medication, lifestyle changes, and physical activities. This innovative approach combines neural network technology with medical data to enable accurate disease prognosis and tailored healthcare solutions for individuals.
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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.
