MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641047843 A) filed by SR University, Warangal, Telangana, on April 15, for 'a physics-informed explainable artificial intelligence (pi-xai) framework for interpretable air pollutant dispersion prediction.'
Inventor(s) include S. Akhila; and Dr. Amit Kumar Yadav.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention proposes a Physics-Informed Explainable Artificial Intelligence (PI-XAI) framework for interpretable and efficient prediction of air pollutant dispersion. The system integrates governing atmospheric dispersion principles with advanced machine learning models to enhance prediction accuracy while ensuring physical consistency. Additionally, explainable AI techniques are incorporated to provide transparent insights into model predictions, enabling better understanding of influencing environmental factors. The proposed framework reduces computational complexity compared to traditional simulation-based methods and supports real-time, scalable deployment in dynamic conditions. This invention improves reliability, interpretability, and decision-making capabilities in environmental monitoring and air quality management systems."
Disclaimer: Curated by HT Syndication.
