Intellectual Property India Publishes Patent Application for 'AI-Driven Adaptive Software Optimization Framework For Dynamic Environments' Filed by Md. Shamsher Alam; Vineet Kumar; Zeeshan Khursheed; Md. Imran Alam; Prabhat Purushottam; Sweta Mukherjee; and Mohammad Mustaqeem Shaikh

MUMBAI, India, Nov. 28 -- Intellectual Property India has published a patent application (202531106547 A) filed by Md. Shamsher Alam; Vineet Kumar; Zeeshan Khursheed; Md. Imran Alam; Prabhat Purushottam; Sweta Mukherjee; and Mohammad Mustaqeem Shaikh, Jamshedpur, Jharkhand, on Nov. 4, for 'ai-driven adaptive software optimization framework for dynamic environments.'

Inventor(s) include Md. Shamsher Alam; Vineet Kumar; Zeeshan Khursheed; Md. Imran Alam; Prabhat Purushottam; Sweta Mukherjee; and Mohammad Mustaqeem Shaikh.

The application for the patent was published on Nov. 28, under issue no. 48/2025.

According to the abstract released by the Intellectual Property India: "The invention discloses an AI-driven adaptive software optimization framework for dynamically optimizing software performance in variable computing environments. The framework incorporates telemetry monitoring, machine learning-based optimization, and feedback-driven learning mechanisms to continuously adapt to runtime conditions. It autonomously tunes execution parameters, resource allocation, and performance thresholds, resulting in enhanced scalability, energy efficiency, and operational stability across diverse software environments."

Disclaimer: Curated by HT Syndication.