MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202621008386 A) filed by Dr. Kalpit P. Kaurase; Dr. Shendkar Janardhan Hariba; Dr. Nataraju. Sn; T. Manju; Mr. Yogesh Dattatray Kadlag; Dipali Sharad Kale; Nirupa Sahu; Ajay Kumar; Dr. Prakash Dubey; and Sohel Ibrahim Shaikh on January 28, 2026, for Techniques Of Detection Of Gravitational Waves And Their Astrophysical Importance Using Ai.
Inventors include Dr. Kalpit P. Kaurase; Dr. Shendkar Janardhan Hariba; Dr. Nataraju. Sn; T. Manju; Mr. Yogesh Dattatray Kadlag; Dipali Sharad Kale; Nirupa Sahu; Ajay Kumar; Dr. Prakash Dubey; and Sohel Ibrahim Shaikh.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: Techniques of Detection of Gravitational Waves and their Astrophysical Importance using AI is the proposed invention. The proposed invention integrates machine learning and deep learning techniques with gravitational wave detectors to enable real-time signal detection, noise suppression, waveform classification, and source parameter estimation. Unlike conventional template-based approaches, the proposed invention autonomously learns signal characteristics, allowing accurate identification of weak, overlapping, and previously unknown gravitational wave events. The system further supports multi-messenger astronomy through intelligent correlation with external observational data sources and generates real-time alerts for follow-up studies. The invention improves detection sensitivity, computational efficiency, and scientific interpretability, thereby advancing next-generation gravitational wave observation and astrophysical research.
Disclaimer: Curated by HT Syndication.
