MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202611102400 A) filed by Suresh Gyan Vihar University on August 25, 2026, for An Adaptive Iot Edge Apparatus For Distributed Ai Model Execution Efficiency.
Inventors include Dr. Arastu Sharma; and Dr. Sohit Agarwal.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: An adaptive IoT edge apparatus for distributed AI model execution efficiency comprises IoT sensing nodes (100), heterogeneous edge computing nodes (200), a resource monitoring module (300), AI model repository (400), adaptive decision engine (500), model partitioning and optimization module (600), workload scheduler (700), distributed execution engine (800), communication interface (900), and feedback and learning module (1000). The apparatus dynamically evaluates computational capacity, memory, energy, thermal, network, and workload conditions to select AI models, partition workloads, allocate execution nodes, and adapt execution strategies, thereby reducing latency, communication overhead, and energy consumption while improving distributed AI inference efficiency.
Disclaimer: Curated by HT Syndication.
