To deepen the understanding of the industrial application of artificial intelligence and promote the in-depth integration of industry-university-research, recently, the teacher-student team "Intelligence Integrates Green Energy, Build Dreams and March Forward" of the School of Computer Science and Information Engineering of Hefei University of Technology carried out employment internship practice activities. The team visited many enterprises such as Hefei Zhongjuyuan Intelligent Technology Co., Ltd., Hefei Yuntong Zhihang Technology Co., Ltd., and Lenovo (Hefei) Electronics Technology Co., Ltd. successively, conducted in-depth research on the innovative application of AI technology in vertical fields, and actively explored new paths of school-enterprise collaborative education.

Empowering mental health and exploring the path of industry-research integration. The first stop of the team was Hefei Zhongjuyuan Intelligent Technology Co., Ltd. Under the leadership of Wang Fei, R&D Director of the company, teachers and students visited the enterprise R&D center and product exhibition hall, and had an in-depth understanding of its development strategy and core business. In the forum and exchange, Wang Fei emphasized that school-enterprise cooperation is the key bridge connecting theory and practice, pointing out that the core competitiveness of AI lies in the in-depth integration of "scientific research foundation and engineering application", and expected to gather more forces to promote the scenario-based implementation of technology. The activity deepened the teachers and students' understanding of AI empowering vertical industries.

Focusing on the low-altitude economy and decoding AI visual applications. The team then came to Hefei Yuntong Zhihang Technology Co., Ltd. founded by Ning Xuecheng, a doctoral student of the school. The company focuses on the R&D of AI visual algorithms and UAV inspection in the field of low-altitude economy, exploring the deep integration of technology and scenarios. Teachers and students had in-depth exchanges with Ning Xuecheng on topics such as innovation and entrepreneurship, talent demand and employment internship. He suggested that students actively participate in scientific research projects and engineering practice, strive to cultivate team cooperation and problem-solving abilities, and analyzed the internship value of different types of enterprises, providing guidance for students to clarify their development direction.
Anchoring intelligent manufacturing and building a practical education platform. At Lenovo (Hefei) Electronics Technology Co., Ltd., teachers and students visited the enterprise exhibition hall and test laboratory. At the forum, Xu Yunqi, Human Resources Director of Lenovo Technology, extended a warm welcome to the school delegation and introduced the company's general situation and talent strategy. Zhang Hailin, Deputy Secretary of the Party Committee and Secretary of the Discipline Inspection Commission of the school, reviewed the long-term good cooperation between the two sides, and hoped to build a university-enterprise collaborative education community by building an internship practice platform, creating more opportunities for students to broaden their horizons and improve their abilities. At the end of the activity, the two sides officially signed the agreement on jointly building a school student employment internship base and held the unveiling ceremony of the "Hefei University of Technology School Student Employment Internship Base". Human resources experts of Lenovo also provided special training on resume writing and interview skills for the team students, analyzing the key points of improving job-hunting competitiveness from the enterprise perspective.

This practice activity of "Intelligence Integrates Green Energy, Build Dreams and March Forward" is an important measure for the school to practice the educational concept of "combining theory with practice". Through in-depth visits to many enterprises related to the forefront of AI field, teachers and students have an up-close insight into the deep integration of technological innovation and industrial practice, built a solid bridge for dialogue with the industry forefront, gained valuable experience for professional learning, ability improvement and career planning, and laid a solid foundation for cultivating AI compound talents that meet industrial needs.