MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641096099 A) filed by Dr. V. Raghavendra Prasad; Dr. R. Varadharajan; Dr. A. Thiripuram; Dr. S. Krishnakumar; Dr. B. Vennila; and M. Revathi on August 08, 2026, for Ai-Driven Predictive Mathematical Modeling System And Method Using Adaptive Machine Learning Algorithms For Multi-Domain Forecasting And Decision Intelligence.
Inventors include Dr. V. Raghavendra Prasad; Dr. R. Varadharajan; Dr. A. Thiripuram; Dr. S. Krishnakumar; Dr. B. Vennila; and M. Revathi.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention discloses an AI-driven predictive mathematical modeling system and method configured to generate adaptive mathematical models using machine learning algorithms, statistical computation, feature engineering, optimization techniques, uncertainty estimation, explainable artificial intelligence, and continuous learning. The system acquires heterogeneous datasets from multiple sources, preprocesses and validates the data, automatically extracts predictive features, constructs optimized mathematical equations using multiple learning algorithms, estimates prediction confidence, and continuously refines predictive models based on newly acquired information. The disclosed invention enables accurate forecasting, simulation, optimization, and intelligent decision support while improving computational efficiency, scalability, interpretability, adaptability, and reliability across scientific, industrial, healthcare, financial, engineering, environmental, and enterprise applications. The invention provides an integrated predictive intelligence platform capable of supporting real-time analytics, autonomous mathematical model generation, and future intelligent computational systems. Accompanied Drawing [FIGS. 1-2]
Disclaimer: Curated by HT Syndication.
