MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043408 A) filed by KKR & KSR Institute of Technology and Sciences, Guntur, Andhra Pradesh, on April 5, for 'deep learning-based exoplanet detection system integrating multi-mission space observations.'
Inventor(s) include Dr. Harikrishna Deevi; Mr. J. Koteswara Rao; Mr. Ch. Rohan Subhash; Mr. Ch. Gopi Susen; Mr. G. Santhosh Kumar; and Mr. K. Chintu.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-driven system for detection and clustering of nearby potentially habitable exoplanets using multi-mission astronomical data. The system integrates datasets from multiple space missions, performs preprocessing and feature extraction, applies machine learning models for detection, evaluates habitability using planetary and stellar parameters, and clusters identified exoplanets based on similarity metrics. The invention improves detection accuracy, enhances computational efficiency, and enables automated habitability assessment for advanced astronomical research. The present invention relates to the field of Artificial Intelligence, Machine Learning, Astronomical Data Processing, and Exoplanet Detection Systems. More particularly, the invention relates to an integrated AI-based system configured to process multi-mission astronomical datasets for automated detection, habitability assessment, and clustering of nearby potentially habitable exoplanets."
Disclaimer: Curated by HT Syndication.
