FANGDA CARBON plans to invest 1 billion over 3 years to jointly develop a new generation of carbon-based materials with Jingtai Holdings-P

According to the Zhitong Finance APP, on March 22, Shenzhen Jingtai Technology Co., Ltd. (hereinafter referred to as "Jingtai Technology", stock code: 02228) officially signed a strategic cooperation agreement with FANGDA CARBON New Material Technology Co., Ltd. (hereinafter referred to as "FANGDA CARBON", stock code: SH600516) at Jingtai's Shenzhen office. The two parties will focus on artificial intelligence (AI) as the core driving force, engaging in deep collaborative innovation in the field of carbon new materials, promoting the research and development of high-end carbon-based materials and the upgrade of intelligent manufacturing, injecting strong momentum into the implementation of China's "AI+" national strategy and the construction of new industrialization.

At the signing ceremony, Jingtai Technology's Chairman Wen Shuhao, Chief R&D Scientist Yang Mingjun, Vice President of Liaoning Fangda Group and Chairman of FANGDA CARBON Ma Zhuo, Secretary of the Board of FANGDA CARBON Zhuang Xiaoru, General Manager of Chengdu Carbon Material Wang Shu, and General Manager of Chengdu Fangda Carbon Research Institute Feng Jiamin, among others, attended.

According to the agreement, both parties will focus on deep cooperation in the field of carbon new materials. Leveraging Jingtai Technology's core technological advantages in artificial intelligence, robotic automation experiments, and quantum chemical calculations, combined with FANGDA CARBON's rich experience in the research and development, large-scale production, and market application of carbon new materials, they will jointly promote the intelligent research and development, production process optimization, and intelligent manufacturing upgrade of high-performance carbon-based materials. By constructing a vertical large model, the two companies will work together to create a "super intelligent body" that combines AI and robotics in the field of new materials, continuously driving industry innovation and paradigm upgrades, achieving technological breakthroughs and industrialization in the new energy and new materials industries. At the same time, both parties will jointly establish the "Jingtai-FANGDA CARBON Intelligent Research Institute," form a research and development committee, and establish a special talent fund to attract global high-end talent and jointly cultivate a new generation of AI material research and development technical backbones.

This "AI+Industry" cooperation mainly focuses on three core goals, jointly accelerating the industrial landing and commercialization of new technologies, new processes, and new products:

First, enhance the mass production efficiency of high-end carbon-based materials. Based on material gene engineering and AI algorithms, develop high-performance silicon-carbon composite materials and graphene application solutions, covering diversified application scenarios such as lithium batteries and soil remediation, optimizing synthesis processes and achieving automated precise construction, promoting the upgrade of new material research and mass production efficiency.

Second, create a "super intelligent body" for "AI+Industry." Through digital twins, artificial intelligence, and robotics technologies, build a fully intelligent management system covering the entire process of material research and development, monitoring, and production, comprehensively advancing technological breakthroughs, intelligent manufacturing, and automation upgrades for carbon-based materials.

Third, build a technology asset and super computing power platform. In key scenarios such as material design and process optimization, accumulate over a hundred AI algorithm models, and establish a million-core-level computing resource scheduling platform to support the country's super artificial intelligence breakthroughs in the vertical industries of new materials and new energy.

Wen Shuhao, Chairman of Jingtai Technology's Board, stated: "This cooperation is an important milestone for Jingtai Technology in practicing the 'AI for Science' concept. Through the deep integration of artificial intelligence and quantum physics simulation technology, we will help FANGDA CARBON break through the efficiency bottleneck in material research and mass production, providing underlying technical support for national strategic industries such as new energy and new materials. This is not only a collaborative innovation between enterprises but also a vivid practice of implementing the 'AI+' national strategy "We look forward to empowering through technology, promoting the transformation of traditional industries towards intelligence and greenness, and contributing corporate strength to achieve technological self-reliance and self-improvement."

FANGDA CARBON Chairman Ma Zhuo stated: "This cooperation marks the deep integration of traditional manufacturing and artificial intelligence technology, which will provide an important demonstration for technological innovation and industrial upgrading in China's new materials industry. In the next three years, FANGDA CARBON plans to invest 1 billion yuan in innovation funds to systematically strengthen its technological advantages in the research and production of new materials. The cooperation with Jingtai Technology is an important part of this strategy. Through the deep application of 'AI + Industry', FANGDA CARBON is expected to significantly improve production efficiency, reduce production costs, and promote the industry towards high-end and intelligent development."

This cooperation is another typical case of deep cooperation between traditional manufacturing and artificial intelligence enterprises following the issuance of the "Guiding Opinions on Promoting the Deep Integration of Artificial Intelligence and the Real Economy" by the state. Industry insiders expect that as artificial intelligence technology continues to mature, the application scenarios of "AI + Industry" will further expand, with the potential to form a market scale of hundreds of billions in the next 3-5 years