Nuclear Power. Chapter 10
Creators
- 1. Electric Power Research Institute, Washington (United States)
- 2. Aalto University, Espoo (Finland)
- 3. TÜV Rheinland Industrie Service GmbH, Cologne (Germany)
- 4. Tecnatom, Madrid (Spain)
- 5. Purdue University, West Lafayette (United States)
- 6. Sandia National Laboratories, Albuquerque (United States)
- 7. Division of Nuclear Power, International Atomic Energy Agency, Vienna (Austria)
Description
In broad terms, the main opportunities for AI to achieve a positive impact on the nuclear power industry can be grouped in the areas listed below. In all of these, AI offers the capability of leveraging massive amounts of complex data in ways that were previously impossible to do by humans or with more traditional techniques. In addition, AI enables the capture, codification and retention of human expertise to support robust, repeatable and explicable machine-led decisions. For each group, a brief description of the topical area with generic application examples is given, followed by more specific examples. These are most definitely not exhaustive, as there are many other applications under each topic; rather, they are provided to help solidify the main idea behind each topic and provide concrete examples of the types of work and benefits they can entail.
Additional details
Identifiers
Publishing Information
- Publisher
- IAEA
- Imprint Place
- Vienna (International Atomic Energy Agency (IAEA))
- ISBN
- 978-92-0-131522-9
- Imprint Title
- Artificial Intelligence for Accelerating Nuclear Applications, Science and Technology
- Imprint Pagination
- 100 p.
- Journal Page Range
- p. 61-70
INIS
- Country of Publication
- International Atomic Energy Agency (IAEA)
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53094656
- Subject category
- S22: GENERAL STUDIES OF NUCLEAR REACTORS;
- Descriptors DEI
- ARTIFICIAL INTELLIGENCE; NUCLEAR INDUSTRY; NUCLEAR POWER
- Descriptors DEC
- INDUSTRY; POWER
Optional Information
- Notes
- 9 refs.