MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641092861 A) filed by Dr. S. Masilamani; Dr. A. Srithar; Dr. P. Periyannan; Dr. A. Kiruthiga; Dr. K. Thiyagarajan; Mr. P. Dhineshkumar; Dr. M. Beemarao; and Dr. R. Kanagaselvam on July 31, 2026, for Artificial Intelligence Framework For Solving Complex Problems In Astrophysics.
Inventors include Dr. S. Masilamani; Dr. A. Srithar; Dr. P. Periyannan; Dr. A. Kiruthiga; Dr. K. Thiyagarajan; Mr. P. Dhineshkumar; Dr. M. Beemarao; and Dr. R. Kanagaselvam.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention relates to an artificial intelligence framework for solving complex problems in astrophysics through intelligent analysis of multidimensional astronomical datasets. The framework comprises an astronomical data acquisition module, a scientific data preprocessing engine, a heterogeneous data integration framework, an artificial intelligence feature extraction engine, a computational astrophysics simulation engine, a machine learning inference engine, a probabilistic scientific reasoning module, a distributed computing infrastructure, a secure scientific database, and a visualization interface. The system acquires observational information from telescopes, space missions, spectroscopic instruments, gravitational wave detectors, and scientific repositories, and processes the acquired information using advanced artificial intelligence algorithms to identify astrophysical patterns, classify celestial objects, predict astronomical events, and evaluate scientific hypotheses. The invention further integrates computational simulations, explainable reasoning, uncertainty estimation, and distributed computing to improve analytical accuracy, scientific transparency, computational efficiency, collaborative research, and evidence-based astrophysical decision-making while supporting scalable investigation of complex celestial phenomena across modern scientific research environments.
Disclaimer: Curated by HT Syndication.
