MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621068721 A) filed by Prof. Sandeep Piplotia; Abhinav Vaidhya; Ashish Kumar Rajak; Ansh Shrivtastava; Hari Sahu; Dhruv Rawat; Aman Sharma; Dhruv Sharma; Divyanshu Yadav; and Abhijeet Singh Pawar on June 01, 2026, for Intelligent Agentic Ai And Machine Learning Algorithms For Sustainable, Secure, And Scalable Modern Technology Applications.
Inventors include Prof. Sandeep Piplotia; Abhinav Vaidhya; Ashish Kumar Rajak; Ansh Shrivtastava; Hari Sahu; Dhruv Rawat; Aman Sharma; Dhruv Sharma; Divyanshu Yadav; and Abhijeet Singh Pawar.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: ABSTRACT Intelligent Agentic AI and Machine Learning Algorithms for Sustainable, Secure, and Scalable Modern Technology Applications The present invention discloses an Intelligent Agentic Artificial Intelligence (AI) and Machine Learning (ML) framework for sustainable, secure, and scalable modern technology applications. The proposed system integrates autonomous intelligent agents, adaptive machine learning models, predictive analytics mechanisms, and intelligent decision-making capabilities to enable automated operation across diverse computing environments. The framework continuously acquires and processes data from multiple sources, analyzes operational conditions, and generates context-aware actions with minimal human intervention. The invention further incorporates a sustainability optimization module and a cybersecurity intelligence module to enhance system efficiency and resilience. The sustainability module dynamically manages computational resources, energy consumption, workload allocation, and infrastructure utilization, thereby reducing operational costs and environmental impact. Simultaneously, the cybersecurity module employs anomaly detection, behavioral analysis, and threat prediction algorithms to identify potential security risks and autonomously initiate appropriate mitigation measures. Additionally, the framework includes a scalable orchestration architecture capable of supporting cloud, edge, hybrid, Internet of Things (IoT), and distributed computing environments. Through continuous learning, feedback-driven adaptation, and autonomous execution capabilities, the invention improves prediction accuracy, operational reliability, resource utilization, and security performance. The proposed system is applicable to healthcare, manufacturing, finance, transportation, smart cities, industrial automation, education, and other modern technology domains requiring intelligent, secure, and sustainable digital solutions.
Disclaimer: Curated by HT Syndication.
