MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202411104001 A) filed by Lovely Professional University on December 28, 2024, for Adaptive Machine Learning Framework For Real-Time Decision-Making In Dynamic Environments.
Inventor includes Sorab Kumar.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The invention pertains to the technical field of machine learning and artificial intelligence, specifically focusing on an adaptive machine learning framework designed for real-time decision-making in dynamic environments. The framework features a multi-tiered architecture comprising several layers, each dedicated to specific tasks such as data collection, preprocessing, learning, and decision execution, ensuring modularity and scalability to accommodate diverse data types and volumes. Central to the framework is a reinforcement learning module that optimizes strategies through trial and error, utilizing real-time feedback in the form of rewards or penalties to adjust actions for maximizing cumulative rewards. A contextual data analysis component processes raw data inputs to extract relevant contextual information, enhancing the reinforcement learning module's decision-making capabilities. The framework also includes a real-time feedback integration system that interfaces with the environment and learning modules to refine learning processes continuously
Disclaimer: Curated by HT Syndication.
