MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050723 A) filed by Dr. P. Rutravigneshwaran Dr. K. Rambabu; Mr. Yerramsetti Srinivasarao; Dr. Kanikella Surendra; Mr. Dwijen Kirtania; Dr. Sudha Rajesh; Dr. Jami Venkata Suman; and Dr. Abraham C G, Coimbatore, Tamil Nadu, on April 21, for 'ai-accelerated adaptive memory controller architecture for high-performance and energy-efficient computing systems.'
Inventor(s) include Dr. P. Rutravigneshwaran; Dr. K. Rambabu; Mr. Yerramsetti Srinivasarao; Dr. Kanikella Surendra; Mr. Dwijen Kirtania; Dr. Sudha Rajesh; Dr. Jami Venkata Suman; and Dr. Abraham C G.
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 relates to an AI-accelerated adaptive memory controller architecture designed to enhance the performance, efficiency, and intelligence of memory management in modern computing systems. The proposed system integrates a workload monitoring unit, feature extraction module, and an artificial intelligence-based prediction engine with a conventional memory controller to dynamically analyze and optimize memory access patterns in real-time. By utilizing machine learning techniques, including predictive analytics and reinforcement learning, the controller enables adaptive scheduling, intelligent prefetching, and efficient data placement, thereby reducing latency, improving bandwidth utilization, and minimizing energy consumption. The architecture supports heterogeneous memory technologies and is scalable across various platforms including cloud computing, edge devices, and high-performance systems. The invention further incorporates a feedback-driven learning mechanism that continuously refines system performance, making it suitable for dynamic and data-intensive computing environments."
Disclaimer: Curated by HT Syndication.
