Over the past five years, the Department of Atomic Energy (DAE) has been at the forefront of cutting-edge research, leveraging Artificial Intelligence (AI) and Machine Learning (ML) technologies across various domains. This strategic initiative, involving an extensive array of projects and collaborations with academic institutions, marks a significant milestone in technological innovation.
The scope of AI and ML applications within the DAE spans a wide range of areas, demonstrating their versatile and transformative potential. From content verification and anomaly detection to biometric recognition, vehicle management, and medical advancements, the utilization of these technologies has been extensive and impactful.
One of the standout projects involves the development of AI-based content verification and anomaly detection systems. These initiatives are crucial in ensuring data integrity, enhancing security measures, and detecting irregularities within complex systems. Additionally, the integration of AI in physical intrusion detection and surveillance systems has fortified security frameworks, enabling efficient and reliable monitoring against unauthorized access.
The convergence of AI and ML has also played a pivotal role in revolutionizing medical and biomedical research within the DAE. Projects focusing on early detection of breast cancer using thermal imaging and diabetic eye disease detection via Convolutional Neural Networks (CNN) exhibit groundbreaking advancements in the healthcare sector, potentially saving lives through early diagnosis.
Furthermore, the utilization of AI and ML algorithms in nuclear-related fields, such as the control systems of electron synchrotrons and cyclotron vault surveillance, signifies a significant stride in ensuring operational efficiency, safety, and precision in nuclear technology.
Collaborations with academic institutions have been instrumental in fostering innovation and progress in areas like video compression, sign language coding, drone surveillance, and neutron-gamma separation for data acquisition systems. These collaborations have propelled the development of robust, scalable, and technologically advanced systems, ensuring enhanced capabilities across diverse applications.
The infusion of high-performance computing with AI and ML methodologies has empowered the DAE to process large volumes of data effectively. This amalgamation has resulted in groundbreaking applications across multiple domains, while also catalyzing significant advancements in security and cyber-security measures.
The successful development of indigenous products like the Secured Network Access System (SNAS) stands as a testament to the DAE’s commitment to cybersecurity. This system, integrated with sophisticated event monitoring systems, operates seamlessly round the clock, ensuring continuous vigilance and rapid responses to potential threats within the expansive DAE network.
The information shared by Dr. Jitendra Singh in the Rajya Sabha underscores the DAE’s commitment to pioneering research and technological advancement through the strategic implementation of AI and ML. The significant investment, collaborations with academia, and the transformative outcomes achieved reinforce the department’s position as a frontrunner in leveraging cutting-edge technologies for the nation’s progress.