On April 30, Liu Qingfeng, Chairman of iFLYTEK Co., Ltd., led a team to the park of the Comprehensive Research Facility for Key Systems of Fusion Reactor. There, he engaged in discussions and exchanges with Academician Li Jiangang, Director of the Energy Research Institute of Hefei Comprehensive National Science Center (hereinafter referred to as "our institute"), and Liu Fukun, Executive Deputy Director of the Institute of Plasma Physics of the Chinese Academy of Sciences. Subsequently, a tripartite strategic cooperation agreement was signed. Yan Jianwen, Executive Director of our institute, Hu Haomin, Vice President, Xiao Bingjia, a researcher at the Institute of Plasma Physics, Hu Guoping, Senior Vice President of iFLYTEK and Director of the National Key Laboratory of Cognitive Intelligence, and other relevant responsible individuals were present at the meeting.

At the symposium, Mr. Xiao Bingjia from the Institute of Plasma Physics at the Chinese Academy of Sciences presented a keynote address on "Digital Tokamak and AI Control". Mr. Hu Guoping, Senior Vice President of iFLYTEK, shared insights on "Two Paths of Artificial Intelligence Empowering Scientific Research" with the audience. The three parties had an in-depth dialogue focused on the theme of "fusion and AI", collaboratively examining the potential for artificial intelligence applications in the realm of nuclear fusion and identifying concrete directions for collaboration.

The three parties have entered into a strategic cooperation framework agreement, officially signed on the principle of mutual benefit and win-win outcomes. As per the agreement, iFLYTEK will collaborate with the Energy Research Institute of Hefei Comprehensive National Science Center and the Institute of Plasma Physics of the Chinese Academy of Sciences to pursue comprehensive collaboration in the realms of artificial intelligence technology and fusion energy. The collaboration will encompass:

- Aligning closely with the national AI strategic plan,

- Actively delving into cutting-edge research on deep neural networks and large model algorithms within the domain of fusion plasma control,

- Charting new research directions such as AI-assisted operation of fusion devices,

- Jointly spearheading initiatives to popularize fusion science through AI applications.

The parties have agreed to swiftly convene a working group to actively advance the implementation of the cooperative projects.

AI technology is poised to significantly contribute to the mastery of fusion technology and expedite its engineering phase. Concurrently, the advancement of fusion energy is set to open new frontiers for AI application, further propelling the field forward. This event signifies the official commencement of a pivotal partnership between a premier domestic fusion research team and an AI technology team, pioneering a new chapter of profound integration, mutual empowerment, and joint elevation for both fusion technology and AI.