GNAI Visual Synopsis: An illustration showing the integration of AI and ML technologies in the Department of Atomic Energy, with data processing, surveillance systems, and network security represented in a visually dynamic manner.
One-Sentence Summary
In the last five years, the Department of Atomic Energy in India has made significant strides in AI and ML research, collaborating with academic institutions for various projects, enabling the processing of large volumes of data, and contributing to developments in security and cyber security, as detailed in a report by SME Street. Read The Full Article
Key Points
- 1. Over the last five years, the Department of Atomic Energy has undertaken various AI and ML research projects, collaborating with academic institutions for initiatives like early detection of breast cancer, diabetic eye disease detection, and surveillance systems, with three projects costing Rs. 180 crores under execution and Rs. 53 crores utilized.
- 2. AI and ML research, along with high performance computing, have facilitated the processing of vast data volumes, leading to applications across diverse domains and significant advancements in security and cyber security, including the development of mature technologies and indigenous products like the Secured Network Access System (SNAS).
- 3. The department’s network, generating millions of events daily, has seen the development of an Event Monitoring System designed to analyze massive data amounts, providing continuous vigilance and timely insights, seamlessly operating round the clock.
Key Insight
The use of AI and ML in the Department of Atomic Energy has not only enhanced research capabilities but also significantly contributed to developments in security and cyber security, revolutionizing the management and analysis of large data volumes and the continuous monitoring of events on the network.
Why This Matters
The advancements in AI and ML within the Department of Atomic Energy represent a significant intersection of technology, security, and research, with implications for data management, surveillance, and network security. Understanding the potential impact of AI and ML in such critical domains is vital for shaping future policies and technological innovations.
Notable Quote
“The developments in AI and ML within the Department of Atomic Energy have led to significant advancements in processing large volumes of data and the development of mature technologies in security and cyber security.” – Dr Jitendra Singh, Union Minister of State (Independent Charge) Science & Technology.
