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Challenges and opportunities for AI to help deliver fusion energy

Adriano Agnello, Helen Brooks, Cyd Cowley, Iulia Georgescu, Alex Higginbottom, Richard Pearson, Tara Shears, Melanie Windridge2026年6月Plasma Physics and Controlled FusionIF 2.2出版社

There is great potential for the application of artificial intelligence (AI) tools in fusion research, and substantial worldwide benefit if fusion power is realized. However, using AI comes with its own challenges, many of which can be mitigated if responsible and robust methodologies are built into existing approaches. To do that requires close, long-term collaborations between fusion domain experts and AI developers and awareness of the fact that not all problems in fusion research are best tackled with AI tools. In April 2025, experts from academia, industry, UK atomic energy authority and Science and Technology Facilities Council discussed how AI can be used to advance R&D in fusion energy at the first edition of The EconomistFusionFest event. This perspective is an expanded and updated summary of the roundtable discussion, providing more context and examples.

AIによる論文要約

AIによる核融合エネルギー実現のための課題と機会
JA核融合やAIに興味のある学生、研究者、政策決定者。この論文は、AIと核融合の連携の重要性と課題を平易に解説しています。#核融合 #AI #エネルギー #研究開発 #未来技術
LLM向け: {"Title": "核融合エネルギーとAIの連携の可能性と課題", "Authors": "指定なし", "Research Objective": "核融合…

核融合エネルギー実現に向けて、人工知能(AI)の活用が大きな可能性を秘めています。しかし、AIを効果的に使うには、核融合分野の専門家とAI開発者の緊密な連携が不可欠であり、すべての問題にAIが適しているわけではありません。2025年4月に開催されたThe Economist FusionFestイベントでの専門家による議論を基に、AIが核融合研究開発をどう加速できるかをまとめました。学生にも理解しやすい内容です。

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