IAT Initiates a Thematic Forum at CNCC 2026

Source: Author: Date:2026-11-05 Read:51

The China National Computer Congress 2026 (CNCC 2026) took place in Chengdu from October 21 to 24 under the theme “Data-Driven Innovation, Intelligent Computing for the Future.” 

As an influential annual gathering in China’s computing community, CNCC has evolved over more than two decades into an important platform bringing together academicians of the Chinese Academy of Sciences and the Chinese Academy of Engineering, leading scholars from both China and abroad, and prominent entrepreneurs to explore emerging technology trends and exchange innovative achievements.

On October 22, the IAT-initiated thematic forum “Opportunities and Challenges in Deploying AI Agents in Real-World Industrial Settings” was held as part of the congress. As a technology company with deep expertise in automotive R&D, IAT draws on its extensive engineering experience, R&D data, and industrial use cases to promote the integration of AI into automotive development. 

The company also actively collaborates with universities, research institutes and industry technology partners to explore technological innovations and practical engineering applications for industrial AI.

The forum has attracted numerous industry professionals for discussion and exchange. Six speakers from IAT, Tsinghua University, Fudan University, Beihang University, Baidu, and Yuanmu Intelligence delivered presentations covering a series of topics including intelligent industrial CAD modeling, physical AI, industrial-grade AI agents and intelligent manufacturing. Those presentations offered different perspectives and insights from both academic research and industry practice on the exploration and application of AI in complex industrial settings.

Photo: Liu Yabin, Vice President of IAT Automobile Technology Co.,Ltd. and General Manager of Alte Taiyi Artificial Intelligence

As chair of the forum, Liu Yabin, Vice President of IAT Automobile Technology Co.,Ltd. and General Manager of Alte Taiyi Artificial Intelligence, delivered a presentation titled “From Design Assistance to Engineering Execution: Exploration and Practice of AI Agents in Automotive R&D.” Liu introduced Taiyi’s work in multi-agent collaboration, specialized tool use and engineering output validation on the basis of IAT’s extensive experience in automotive development, sharing practical approaches to advancing AI from design assistance to engineering execution.

Strengthening Collaboration with Universities and Research Institutions for Frontier Innovation

Technological innovation is a major driver of development in the automotive industry. IAT has long placed a high priority on collaboration with universities and research institutions, working to align cutting-edge research with the practical needs of automotive R&D. 

The company has established collaborative partnerships with institutions such as the Institute for AI Industry Research (AIR) at Tsinghua University, Fudan University, and Beihang University. Through joint R&D, talent development, and the commercialization of research outcomes, IAT and its partners continue to explore new pathways to promote scientific innovation and industry practice in tandem.

Photo: Zhao Hao, Assistant Professor at the Institute for AI Industry Research, Tsinghua University

Tsinghua University’s Institute for AI Industry Research is a key research partner of IAT, with both parties focused on exploring the application of frontier technologies including world models and physical AI to automotive engineering. At the forum, Assistant Professor Zhao Hao presented research progress in physical AI and real-time prediction of dynamic flow fields. 

These advances closely align with IAT’s technical needs in integrating performance simulation and engineering validation in the automotive design process, offering new technical perspectives for further joint exploration of AI-enabled automotive R&D.

Photo: Xue Xiangyang, Professor at Fudan University

As one of IAT’s university partners, Fudan University brings research expertise in computer vision, large multimodal models, and intelligent design that closely aligns with the practical requirements of AI-enabled automotive R&D and design. Professor Xue Xiangyang presented research results on intelligent industrial CAD modeling, covering advances from engineering drawing interpretation to design generation. His presentation offered fresh research insights to support IAT’s ongoing exploration of intelligent automotive design.

Photo: Tong Xiaomeng, Professor at Beihang University

In intelligent manufacturing, IAT has established industry–university–research cooperation with Beihang University, with a shared focus on integrating AI technologies into complex industrial settings. Professor Tong Xiaomeng presented research results on collaboration between large and small AI models for intelligent manufacturing, including topics such as engineering drawing interpretation, part recognition, and process planning. These findings have provided practical insights into the further integration of AI into manufacturing workflows.

From industrial design generation and physics simulation to intelligent manufacturing, university research teams are continuously expanding the scope of AI applications in complex industrial tasks. IAT will continue to leverage its strength in automotive R&D applications and engineering expertise to connect research outcomes with practical industry needs, bringing further innovation to AI-enabled automotive development.

Working with Industry Technology Partners to Bring AI into Engineering Practice

Alongside its deepening collaboration with universities and research institutions, IAT also actively works with AI and industrial technology companies on technical collaboration and application validation for real-world engineering tasks, helping translate advanced AI capabilities into deployable industrial solutions.

Photo: Li Annan, Product General Manager of Baidu Famou (FM)

Baidu is a key industry partner of IAT in promoting AI-enabled automotive R&D. Li Annan, Product General Manager of Baidu Famou (FM), shared insights into the application of self-evolving AI agents in advanced manufacturing. He also presented a joint project between Baidu Famou and IAT for multi-objective optimization within the automotive design space. 

The project demonstrated the progress in aligning self-evolving AI with practical automotive R&D needs, providing a concrete example of the deep integration of AI technologies into automotive R&D.

Photo: Jiang Changhao, Founder and CEO of Yuanmu Intelligence

Yuanmu Intelligence is not only a key ecosystem partner of IAT Taiyi in industrial AI agents but also a co-initiator of this CNCC 2026 thematic forum. With a shared focus on the practical application of AI agents to complex industrial tasks, IAT and Yuanmu Intelligence jointly initiated the forum to connect industrial AI agent technologies with the needs of automotive R&D, intelligent manufacturing, and other industrial sectors. 

At the forum, Jiang Changhao, Founder and CEO of Yuanmu Intelligence, delivered a presentation titled “Opportunities and Challenges for Industrial Large Models.” In the context of industrial R&D and manufacturing scenarios, he discussed key challenges and future directions for deploying industrial AI agents in engineering practice.

From intelligent prediction in R&D and design to intelligent decision-making in manufacturing, the technical work and practice of different industry partners are opening up new possibilities for industrial AI deployment. 

IAT will continue to make real-world engineering scenarios available for collaboration and work with technology partners to explore the deeper integration of AI with specialized software, engineering knowledge, and industrial workflows, and to validate and apply technological innovations in actual R&D tasks.

Combining Industry, University, and Research Forces to Explore the Future of Automotive R&D

Automotive R&D and design involve multidisciplinary collaboration and complex engineering processes. The extensive application of AI therefore requires the combined support of advanced algorithms, specialized knowledge, industrial software, and real-world engineering scenarios.

 Upgrading AI from assistance in individual tasks to collaboration across the entire workflow also calls for ongoing technical exchange, joint innovation, and practical validation among universities, research institutions, and enterprises.

This CNCC 2026 thematic forum showcased IAT’s strengths in bringing together industry resources and facilitating collaborative innovation. Organized and convened by IAT, the thematic forum brought university research teams and industry partners from different technical fields together to exchange views on shared priorities in industrial AI development. 

Their participation reflected IAT’s expanding industry–university–research collaboration network and highlighted the company’s ongoing efforts to integrate technological innovation more deeply into automotive R&D practice.

Looking ahead, IAT will continue to build on its extensive experience in automotive R&D and work with universities, research institutions, AI companies, and industry partners to advance collaborative innovation across technology development, engineering validation, and industrial applications. 

Together, IAT and its partners will bring more cutting-edge technologies into real-world automotive R&D, explore new models and approaches to automotive development and design in the era of AI, and contribute fresh momentum to the high-quality development of the automotive industry.

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