Department of Atomic Energy Implements Cutting-Edge AI and Machine Learning Research

The Department of Atomic Energy (DAE) has been at the forefront of Artificial Intelligence (AI) and Machine Learning (ML) research, unveiling remarkable breakthroughs over the past five years. The extensive range of AI and ML-based projects includes content verification, physical intrusion detection, biometric and face recognition, vehicle identification, and more.

Among the standout projects is the use of AI algorithms for optimizing operating parameters in electron synchrotrons, a pioneering approach to control systems for Accelerators. Additionally, the DAE has collaborated with academic institutions for projects like a robust shape-based face recognition system and scalable computer vision systems for smart multi-camera video surveillance.

Over the past five years, the DAE has executed three projects valued at Rs. 180 crores, with Rs. 53 crores utilized. The research initiatives encompass a diverse array of applications, from early detection of breast cancer using thermal imaging to unsupervised area surveillance by drones. The incorporation of AI and ML, coupled with high-performance computing, has revolutionized data processing, resulting in advancements across various domains and significant strides in security and cybersecurity.

Key developments include AI-based video analytics and cybersecurity tools, with indigenous products like the Secured Network Access System (SNAS) serving as a cybersecurity backbone. The DAE’s vast network, generating millions of events daily, benefits from advanced event monitoring systems seamlessly integrated with SNAS, ensuring continuous vigilance and timely insights.

Union Minister Dr. Jitendra Singh highlighted these achievements, emphasizing the DAE’s commitment to cutting-edge technological advancements in a written reply in the Rajya Sabha.