On June 30, Zhang Tongyi, an academician of the CAS Member, an academician of the Hong Kong Academy of Engineering Sciences, an authoritative expert in materials science and solid mechanics, and Professor Zhang Shunqi, vice president of the School of Mechanical and Electrical Engineering and Automation of Shanghai University and vice president of the Lisbon Institute, visited Seiko Technology and brought two high-level academic reports around "AI+science and AI+engineering". The conference specially invited Sun Yongjun, Secretary of the Party Group of Keqiao District Science and Technology Association, to attend, and more than 100 core technical backbones from various industries of the company participated in the learning.

At the beginning of the exchange, Li Aijun, President of Jinggong Technology, delivered a speech expressing sincere gratitude to the two experts for their attendance and empowerment. He stated that artificial intelligence is reshaping the paradigm of scientific research and innovation at an unprecedented speed, reconstructing the global industrial and manufacturing landscape. The breakthrough iteration of AI technology since 2025 has made intelligent transformation the core track for high-end manufacturing, technological innovation, and industrial upgrading.

For many years, Jinggong Technology has adhered to the development philosophy of "innovation driven, technology empowered", and is well aware of the new challenges and opportunities of the AI wave in the industry. This special invitation of top experts for visit and exchange is an important measure for the company to deepen the promotion of industry university research application, solve industrial technology pain points, and promote the deep integration of cutting-edge achievements and industrial innovation.

At the meeting, Academician Zhang Tongyi presented a high-dimensional and down-to-earth academic sharing on the topic of "Data Driven Material Green R&D and Industrial Innovation, and Preliminary Achievements of AI+Science and AI+Engineering". As a promoter of China's Materials Genome Engineering, Materials Informatics, and Mechanics Informatics, Academician Zhang, combined with his team's long-term exploration and practice in the field of scientific research, systematically elaborated on how data-driven approaches can accelerate green research and industrial innovation in materials, starting from the global trend of AI development iteration. He also showcased the preliminary achievements of AI+science and AI+engineering.

He pointed out that the material system is complex, and the "soft hard combination" innovation system formed by the deep integration of AI with materials science and engineering practice is the key path to solving the pain points of industries with long research and development cycles and high trial and error costs. His ideas of constructing material intelligent agents, iteratively optimizing process parameters, and generating experimental data on a large scale are highly in line with the company's actual needs in new material research and development and equipment intelligent upgrading, providing new ideas for industrial technology breakthroughs.

Professor Zhang Shunqi gave a presentation titled "The Evolution of Intelligent Layered Structure Modeling and AI Driven Prediction". Professor Zhang has been deeply involved in the multi physics field coupling mechanics of intelligent structures and the health monitoring of equipment structures for many years. He focuses on the pain points in the research and development of thin-walled laminated structures widely used in the aerospace industry. In response to industry challenges such as weak structural rigidity, susceptibility to vibration and deformation, and difficulty in multi field coupling modeling, combined with long-term scientific research and engineering practice, he systematically introduces innovative ideas for high fidelity modeling of intelligent structures and the landing path of AI assisted efficient simulation. He also demonstrates the preliminary application results of AI technology in the acceleration calculation of spacecraft rigid flexible coupling dynamics and topology optimization of machine tool structures. These research ideas have reference significance for improving the design efficiency of equipment intelligent structures, conducting reliability analysis, and iterating production process simulation.

The atmosphere of the interactive session was lively, and the company's president Li Aijun, chief expert and director of the Carbon Fiber Research Institute Fu Jiangen, and other experts had in-depth exchanges with the two experts to explore feasible paths for AI technology to empower the optimization of the entire carbon fiber production chain.

Taking wisdom as the driving force and striving for excellence; Empowering science and technology, gathering strength to move forward. This academic exchange has brought a feasible new path for the intelligent upgrade of the entire process of material research and development, process optimization, and equipment iteration for the company. In the future, Jinggong Technology will continue to build more dialogue platforms with top intellectual resources, deeply cultivate the integration of industry, academia, research and application innovation, comprehensively promote the deep embedding of AI technology into the entire industry technology ecosystem, and use continuous technological innovation to drive the company's development to a new level.