MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048454 A) filed by SR University, Warangal, Telangana, on April 16, for 'ai-driven hybrid edge-cloud framework for energy-efficient and scalable machine learning in iot systems.'
Inventor(s) include B. Varalakshmi; Dr. Shravan Kumar Yadav; and Dr. M. Rudra Kumar.
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: "AI-driven hybrid edge-cloud framework designed to enable energy-efficient and scalable machine learning in Internet of Things (IoT) environments. The system integrates IoT sensors, smart sensing mechanisms, edge nodes, and cloud computing platforms to support real-time data processing, non-intrusive load monitoring, and predictive analytics. Edge computing facilitates low-latency processing through localized analysis, data caching, and immediate anomaly detection, while cloud infrastructure performs advanced model training, large-scale analytics, and long-term storage. The framework incorporates intelligent resource allocation strategies that dynamically distribute workloads between edge and cloud layers based on network conditions and energy constraints. A centralized control center provides monitoring, visualization, and automated decision-making capabilities for optimized energy demand management. By combining real-time responsiveness with scalable computational power, the proposed system enhances operational efficiency, reduces energy consumption, and supports adaptive learning. This hybrid architecture is suitable for diverse applications, including smart grids, industrial automation, and intelligent infrastructure systems."
Disclaimer: Curated by HT Syndication.
