AI will be the core technology for the IAEA to conduct research





IAEA

IAEA deploys AI applications to conduct large-scale research and educate masses

The IAEA has joined the International Telecommunication Union (ITU) and 37 other United Nations organizations to work together to identify artificial intelligence (AI) applications that accelerate the achievement of the UN’s Sustainable Development Goals.

These include the creation of a knowledge-sharing platform – a network on AI for atoms – to coordinate cross-domain researchers to develop regulatory, education and training guidance, and to share experiences, knowledge and good practices, and to provide guidance on ethical issues that the convergence of AI and nuclear science, technology and application could also cause. These include the need for AI applications to be inclusive, fair and equitable and benefit society as a whole.

AI refers to a collection of technologies that combine numerical data, process algorithms, and ever-increasing computing power to develop systems that can approach complex problems in a manner similar to human logic and reasoning. AI technologies can analyze large amounts of data to learn and assess how to perform a particular task, a technique called machine learning.

“AI can be a breakthrough technology, but it also poses challenges, including concerns about transparency, trust, security and ethics,” said Najat Mokhtar, IAEA Deputy Director General and Head of the Division of Nuclear Sciences and Applications. “Thus AI technologies require strong international partnerships and cross-cutting cooperation, which is why we have partnered with the ITU and the other UN agencies. We look forward to expanding and strengthening our partnership.”

From nuclear medicine to water management and industry, AI has enormous potential to accelerate technology development in many nuclear areas.

Experts are already applying AI-based approaches to quickly analyze, for example, massive amounts of water-related isotope data stored in global networks, such as the Global Network of Isotopes in Precipitation (GNIP), maintained by the IAEA and the World Meteorological Organization. The effective analysis of this data helps scientists better understand climate change and its impact on global water availability.

Nuclear power generates about 10 percent of the world’s electricity, representing more than a quarter of all low-carbon electricity.

Nuclear power is a green and reliable source of energy that, in conjunction with other clean energy sources, can help countries achieve net-zero emissions. To be competitive and integrated into the mix of modern energy systems, nuclear power plants must not only be safe, reliable and sustainable, but also be economical and efficient. AI-based approaches can contribute to these areas.

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Analytics Insight


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