Meta Platforms had four patents in edge computing during Q2 2024. Meta Platforms Inc filed patents related to translating application calls for on-device machine learning execution and generating mappings for real-world rooms to support a shared XR environment. The translation layer translates JavaScript software application call data for interoperability with on-device machine learning models, while the room manager generates XR object definitions based on real-world room information to create previews of the shared XR environment. GlobalData’s report on Meta Platforms gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Meta Platforms had no grants in edge computing as a theme in Q2 2024.
Recent Patents
Application: Software call translations for on-device machine learning execution (Patent ID: US20240176603A1)
The patent filed by Meta Platforms Inc. focuses on translating application calls for on-device machine learning execution. The method involves receiving software calls from a native JavaScript application, translating the data to be compatible with on-device machine learning models, and executing the software calls using the machine learning models. The translation layer ensures compatibility between the JavaScript application and the machine learning models by converting data types and files to facilitate seamless interaction between the two components.
Furthermore, the patent details the process of translating output from the machine learning models back to JavaScript-compatible data for further processing by the native application. The method also involves introspecting data types for both input and output data to ensure accurate translation and compatibility. By executing the software calls via a non-JavaScript on-device runtime environment, such as a C++ runtime environment, the patent aims to enhance the efficiency and effectiveness of on-device machine learning execution, particularly on mobile or edge computing devices. Overall, the patent outlines a comprehensive approach to enable the seamless integration of JavaScript applications with on-device machine learning models through a translation layer.
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