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Artificial Intelligence for Accelerating Nuclear Applications, Science and Technology



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Autore: IAEA Visualizza persona
Titolo: Artificial Intelligence for Accelerating Nuclear Applications, Science and Technology Visualizza cluster
Pubblicazione: Vienna : , : International Atomic Energy Agency, , 2022
©2022
Edizione: 1st ed.
Descrizione fisica: 1 online resource (100 pages)
Soggetto topico: Artificial intelligence
Nuclear industry
Nota di contenuto: executive summary -- Chapter 1. -- introduction -- 1.1. background -- 1.2. Objective -- 1.3. scope -- 1.4. Structure -- Chapter 2. -- Summary of artificial intelligence -- in nuclear applications, science and technology -- 2.1. Ethics -- 2.2. nuclear applications -- 2.3. nuclear science -- 2.4. nuclear power -- 2.5. RADIATION PROTECTION and NUCLEAR security -- 2.6. safeguards verification -- Chapter 3. -- ethics -- 3.1. state of the art -- 3.1.1. Artificial intelligence ethics -- 3.1.2. Ethics of nuclear technology -- 3.2. next steps -- 3.3. accelerating progress—iaea’s role -- 3.3.1. Overarching concerns and way forward -- 3.4. expected outcomes -- 3.5. acknowledgments -- 3.6. references -- Chapter 4. -- human health -- 4.1. state of the art
Sommario/riassunto: This publication by the International Atomic Energy Agency explores the application of artificial intelligence in various nuclear fields. It outlines the potential of AI to accelerate technological advancements in nuclear science, medicine, and industry, addressing global challenges such as radiation protection and nuclear security. The book discusses the ethical considerations of integrating AI with nuclear technologies and provides insights into the current state, challenges, and opportunities in these areas. It is intended for professionals and researchers in nuclear technology and applications, aiming to foster cooperation and innovation in the field.
Titolo autorizzato: Artificial Intelligence for Accelerating Nuclear Applications, Science and Technology  Visualizza cluster
ISBN: 9789201314222
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911134240003321
Lo trovi qui: Univ. Federico II
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Serie: Non-Serial Publication