AI, ML based research has enabled processing of large volumes of data in DAE: Jitendra Singh
The Department of Atomic Energy (DAE) has been extensively using Artificial Intelligence (AI) and Machine Learning (ML) based research in all its activities such as content verification and anomaly detection, physical intrusion detection, biometric and face recognition, vehicle identification and management, etc for high-end results, according to the Union Minister for Atomic Energy and Space Dr Jitendra Singh.
In the past five years, DAE collaborated with academic institutions for various AI/ML related research projects and programmes. Some of the notable projects include a robust shape-based Face Recognition System, robust and scalable computer vision systems for smart multi-camera video surveillance, early detection of breast cancer using thermal/infrared imaging, AI application for classification of lesions mapped by infrared images, diabetic eye diseases detection and classification using convolutional neural network (CNN), unsupervised radiation field mapping inside cyclotron vault, unsupervised area surveillance by drone, Indian sign language coder and decoder, video compression for low bit rate video conferencing, and Neutron Gamma separation for DAQ system.
The projects undertaken in collaboration with academic institutions have not only contributed to the development of AI and ML research but also resulted in advancements in various domains. The integration of AI and ML with high-performance computing has enabled the processing of large volumes of data, leading to the development of applications in all domains. Furthermore, these advancements have had significant implications for security and cyber security.
Dr Jitendra Singh highlighted the impact of AI and ML research on security measures within the DAE network. The event monitoring systems designed to analyze massive amounts of data have been integrated with the secured network access system (SNAS), ensuring continuous vigilance and timely insights. The seamless operation of these systems round the clock (24/7) enhances the overall security framework.
These advancements in AI and ML research, along with the development of mature technologies in video analytics and cyber security tools, have made a significant impact on the Department of Atomic Energy’s security infrastructure. The indigenous product, secured network access system (SNAS), has become a backbone of cyber security, said Dr Jitendra Singh.
The utilization of AI and ML research in the DAE network, which generates millions of events every day, has revolutionized security and cyber security measures. The AI-based video analytics and cyber security tools have proven to be effective in dealing with the ever-evolving threats in the digital landscape.
The integration of AI and ML research not only enhances the security framework but also aids in the development of innovative solutions for various domains. The DAE’s collaboration with academic institutions has facilitated breakthroughs in areas such as breast cancer detection, eye diseases diagnosis, radiation field mapping, area surveillance, and more.
Dr Jitendra Singh emphasized the importance of AI and ML research in driving advancements and ensuring the safety and security of critical infrastructures. The success of these projects further highlights the potential for AI and ML to transform various sectors and improve the overall quality of services.
The DAE’s commitment to AI and ML research continues with ongoing projects costing Rs 180 crore. A significant portion of the allocated budget has already been utilized, reflecting the dedication to harnessing the power of AI and ML for innovation and progress.
As AI and ML research continues to evolve, it presents numerous opportunities for advancements in various domains. The Department of Atomic Energy’s integration of AI and ML research in its operations demonstrates a proactive approach towards leveraging cutting-edge technologies for superior outcomes.
With the ever-increasing amount of data generated, the utilization of AI and ML research becomes indispensable. The developments in security and cyber security, driven by AI and ML, indicate a promising future where technological advancements contribute to the overall welfare and progress of society.
In conclusion, the extensive use of AI and ML research by the Department of Atomic Energy has facilitated the processing of large volumes of data, leading to advancements in various domains. The collaboration with academic institutions has resulted in breakthrough projects and programs, strengthening security measures and contributing to the development of innovative solutions. As AI and ML continue to evolve, their potential for transforming sectors and improving the quality of services becomes increasingly evident. The Department of Atomic Energy’s commitment to ongoing projects reflects its dedication to embracing advanced technologies for the betterment of society.
