AI助力聚变能研发，需跨领域协作与务实应用。
Challenges and opportunities for AI to help deliver fusion energy
- 融合能源专家与AI开发者长期合作，共建可靠方法。
- 并非所有聚变问题都适合用AI解决，需理性评估。
- 聚焦实际场景，推动聚变能研发的可持续进展。
人工智能在聚变研究中具有巨大应用潜力，若实现聚变能源，将带来全球性重大效益。然而，使用AI也面临诸多挑战，若能在现有方法中融入负责任且稳健的实践，许多问题可被缓解。这需要融合领域专家与AI开发人员之间建立紧密、长期的合作关系，并意识到并非所有聚变研究问题都最适合由AI工具解决。2025年4月，来自学术界、产业界、英国原子能机构（UKAEA）及科学与技术设施委员会（STFC）的专家在《经济学人》首届聚变峰会（FusionFest）上探讨了如何利用AI推进聚变研发。本文是该圆桌会议内容的扩展与更新版本，提供了更多背景与实例。
原文摘要 · Abstract (English)
There is great potential for the application of AI tools in fusion research, and substantial worldwide benefit if fusion power is realised. 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, UKAEA and STFC discussed how AI can be used to advance R&D in fusion energy at the first edition of The Economist FusionFest event. This Perspective is an expanded and updated summary of the round table discussion, providing more context and examples.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。