MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202621054451 A) filed by Sameena Mohd Zaheer; Dr. Amit Kumar Verma; K N Archana; Dr. Vinayak Eknath Nikumbh; Dr. Satyarth Prakash Maurya; Dr. Divyansh Pandey; Dr. V S Bhagavan; Megha Adhikrao Patil; Dr. Indu Bala Misra; and Dr. Anushka Ashitosh Patil on April 29, 2026, for Machine Learning System For Solving Complex Mathematical Problems.
Inventors include Sameena Mohd Zaheer; Dr. Amit Kumar Verma; K N Archana; Dr. Vinayak Eknath Nikumbh; Dr. Satyarth Prakash Maurya; Dr. Divyansh Pandey; Dr. V S Bhagavan; Megha Adhikrao Patil; Dr. Indu Bala Misra; and Dr. Anushka Ashitosh Patil.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: A machine learning-based system for solving complex mathematical problems is disclosed. The system integrates symbolic computation, numerical methods, and adaptive machine learning models to interpret and solve mathematical expressions across multiple domains. It comprises an input processing module for receiving and parsing mathematical queries, a preprocessing unit for generating structured representations, and a model selection engine that dynamically selects suitable computational models based on problem characteristics. A hybrid solver combines symbolic reasoning with machine learning algorithms to generate accurate solutions, while a solution generation module provides step-by-step explanations. A validation module ensures correctness through multiple verification techniques. Additionally, a feedback learning mechanism enables continuous system improvement. The invention enhances computational efficiency, accuracy, and interpretability, making it suitable for applications in education, research, engineering, and automated mathematical reasoning.
Disclaimer: Curated by HT Syndication.
