
Two large models, "Lizhi" and "Caihua", were unveiled, focusing on deep natural language understanding and materials science research and development.
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"New Tiangong Kaiwu" is a scientific and technological achievement education brand, aiming to release China's iconic and strategic scientific and technological achievements. This conference focused on independent innovation achievements in the field of artificial intelligence.
China News Service, Beijing, September 30 (Reporter Sun Zifa) The "New Tiangong Kaiwu" scientific and technological achievements education brand hosted by the China Association for Science and Technology will premiere a special session on artificial intelligence (AI) on September 30, releasing two scientific and technological achievements independently innovative in the field of artificial intelligence technology in China, "key technologies and applications of deep natural language understanding and generation" and "construction and application of large material models", corresponding to the two large models of "Lizhi" and "Caihua".
The "Lizhi" Uni-MoE series of multi-modal large models independently developed by Zhang Min, the specially appointed assistant to the president of Harbin Institute of Technology (Shenzhen), led by the team, proposed a new artificial intelligence paradigm that organically integrates symbolism and connectionism and is native to language intelligence with language as the core. It has made breakthrough progress in key issues such as complex semantic understanding, natural language generation, and cross-domain adaptation. He said that the project technology has been implemented in many leading companies, achieved significant economic and social benefits, and won the 2025 Wu Wenjun Artificial Intelligence Technology Progress Award Special Prize.
Chen Xin, chief researcher of Suzhou National Laboratory, released and introduced that based on large models for materials research, Suzhou National Laboratory, Shanghai Artificial Intelligence Laboratory and Shanghai Jiao Tong University launched the "MatVerse" material multi-modal large model, forming a full-chain process of "data-large model-agent-evaluation-application" and building a material intelligence research and development base. This large model has both professional task processing capabilities for chemical materials and natural language interaction capabilities, and is the first multi-modal evaluation benchmark covering 19 secondary disciplines of materials.
At the press conference, Du Junping, Vice Chairman of the Chinese Society for Artificial Intelligence and Director of the Computer Application Technology Center of Beijing University of Posts and Telecommunications, and Sun Baode, Academician of the Chinese Academy of Engineering and Deputy Academic Director of Suzhou National Laboratory, respectively promoted scientific and technological achievements.
Du Junping said that natural language understanding and generation is known as the crown jewel in the field of artificial intelligence, and major countries around the world regard it as a strategic key technology. The "Lizhi" Uni-MoE series large models released this time have complete independent intellectual property rights, and their performance has reached the international leading level.
Sun Baode pointed out that the "MatVerse" large multi-modal material model is the world's first large-scale material model with tens of billions of parameters and the first large-scale native multi-modal material model. It has been applied in many top universities and leading companies in China and has successfully enabled breakthroughs in many materials research.
The press conference also held a ceremony for the collection of digital exhibits of scientific and technological achievements, and the two achievements were included in the digital exhibit library of the Exhibition of Scientific and Technological Achievements.
It is reported that the "New Tiangong Kaiwu" scientific and technological achievements conference focuses on China's iconic, strategic, and leading scientific and technological achievements, releases technological progress, engineering progress, and industrial advancement, and promotes strategic scientists, first-class scientific and technological leaders, and outstanding engineers.
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