Intellectual Property India Publishes Patent Application for 'Machine Learning-driven Energy Complexity Framework For Predicting Optimal Data Structures In Workload-Specific Execution' Filed by Vellore Institute Of Technology

MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641018874 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Feb. 19, for 'machine learning-driven energy complexity framework for predicting optimal data structures in workload-specific execution.'

Inventor(s) include Dr. R. Manjula; Shann Antony Suresh; and John Poly.

The application for the patent was published on Feb. 27, under issue no. 09/2026.

According to the abstract released by the Intellectual Property India: "Machine Learning-Driven Energy Complexity Framework for Predicting Optimal Data Structures in Workload-Specific Execution. The invention relates to a machine-learning-driven analytical framework for evaluating a...