CINEVE 2026 | 2026 Automotive AI Technology Symposium and Industry Chain Matching Conference Successfully Held, Marking the Start of a New Journey for the Implementation of Automotive AI Industry!

On March 14th, the AI-Driven Automotive Technology Innovation and Ecological Synergy—2026 Automotive AI Technology Symposium and Industry Chain Matching Conference was successfully held at the Capital International Exhibition & Convention Center, Shunyi, Beijing, China. This event, hosted by the China Equipment Management Association New Energy Vehicle Industry Development Promotion Center, was a core activity of the 2026 China International New Energy Vehicle Technology, Parts, and Services Exhibition.

As a one-day closed-door symposium focused on AI empowerment for the automotive industry, the event gathered over 80 industry elites, 17 major automaker decision-makers, 22 leading Tier 1 suppliers, AI field benchmark enterprises, and experts from universities. The symposium served as a high-level, specialized platform for communication and matchmaking within the automotive AI industry. It facilitated consensus-building for technology to transition from laboratories to mass production vehicles, driving progress and innovation in the field.

On-site of the AI-Driven Automotive Technology Innovation and Ecological Synergy - 2026 Automotive AI Technology Symposium and Industry Chain Matching Conference

1. Focusing on the Needs of Automotive Companies, Addressing the True Pain Points of AI Implementation

The symposium was chaired by Professor Wang Wenshuo, a doctoral advisor from the School of Mechanical Engineering and Automotive, Beijing Institute of Technology. The event gathered a high-caliber, precision-focused group of attendees from the automotive AI field. Seventeen mainstream automotive companies, including Great Wall Motors, Geely Auto, Dongfeng Research Institute, BAIC Research Institute, and Avita Technologies, sent representatives from core departments such as intelligent cockpits, autonomous driving, in-vehicle AI, and electronic/electrical architecture. The attendees brought real-world industry challenges, such as technology adaptation and mass production implementation, to engage directly with supply chain companies. This allowed for accurate matching between demand and supply, positioning the symposium as a dedicated platform for addressing the AI industry needs of automotive companies.

On-site of the Event

2. Seven Major Keynote Speeches, Multi-Dimensional In-Depth Discussions!

Seven distinguished speakers took the stage to share insights on precisely targeted topics. The content covered key areas such as edge-side large models, industrial physical AI, in-vehicle AI operating systems (AIOS), and cockpit AI testing. The speakers shared insights rooted in production practices and focused on the implementation of technology, offering the industry cutting-edge, practical technical achievements and hands-on experiences.

Professor Wang Wenshuo, Doctoral Advisor, School of Mechanical Engineering and Automotive, Beijing Institute of Technology

Professor Wang Wenshuo, Doctoral Advisor, School of Mechanical Engineering and Automotive, Beijing Institute of Technology, pointed out at the conference that AI is the third major transformation in the automotive industry after electrification, with both opportunities and challenges. Enterprises are the main drivers of innovation, while universities serve as a key source of innovation. It is essential to bridge the upstream and downstream of the industry and work together to overcome the technical challenges of intelligent vehicles.

Chen Hao, Director of Solutions, Beijing Mianbi Intelligent Technology Co., Ltd.

Chen Hao, Director of Solutions, Beijing Mianbi Intelligent Technology Co., Ltd., emphasized that edge-side large models are the "first brain" in building intelligent vehicles. He also provided a systematic presentation and in-depth discussion on the commercialization practices of Mianbi Intelligent's edge-side large models in intelligent cockpits.

Ye Mixing, Director of Solutions, Guangzhou Fantuo Digital Creative Technology Co., Ltd., stated that physical AI is an inevitable choice for industrial digitalization. By 2026, AI technology will shift from the "virtual" to the "physical" realm. He also provided a detailed analysis of the digital and intelligent upgrade path and implementation results of industrial physical AI in automotive research and development, as well as production processes.

Yan Xingang, AIOS Product Director, China Automotive Innovation Technology Co., Ltd., delivered an in-depth presentation on the theme "Exploring the Global Expansion Capability of AUTOSAR-Compliant In-Vehicle AIOS." He emphasized that AIOS applications, as intelligent entities, are the basic units of intelligent services. He also shared technical adaptation and global expansion solutions for in-vehicle AIOS under overseas compliance requirements.

Ye Xiaozhou, Senior Vice President of Century Internet Group and Chief Scientist of Internet Technology Lab, delivered a keynote speech on the theme "Customer-Side AI Sovereignty: Reshaping the AI Value Chain in the Automotive Industry." He provided a deep analysis of the core logic and practical pathways for automotive companies to control AI data and application leadership.

Zeng Yun, General Manager of Guizhou Kexun Yingqian Technology Co., Ltd., delivered an in-depth analysis on the theme "From Assisted Driving to Smart Mobility: Business Reconstruction and Ecological Competition." She explored the business model upgrades and ecological construction logic in the mobility industry driven by AI technology.

Li Pengbo, CTO of Nanjing Huasu Technology Co., Ltd., provided an in-depth analysis of the core technological logic behind the integration of embodied intelligence in the Huasu Xingqing ZhiCe platform, as well as its full-process application path in cockpit AI scenarios. He systematically outlined practical solutions for enhancing product reliability and R&D efficiency, enabling the leap from "automation" to "intelligence" in cockpit AI testing. This aims to provide efficient technical support for automotive companies' cockpit AI R&D and testing.

3. In-Depth Topic Discussions to Build Consensus on Industry Development

After the morning and afternoon keynote speeches, dedicated Q&A and discussion sessions were held. The host summarized the key points from the speakers' presentations and initiated interactive questions focusing on the core issues of AI empowering the automotive industry. Automotive company representatives directly raised practical demands, such as technology implementation, product adaptation, and cost control. The speakers provided precise answers on-site, efficiently bridging the communication gap between technology and demand.

Mutual Exchange and Questioning Between Automotive Companies and Supply Chain Enterprises

During the In-Depth Topic Discussion Session, all participants focused on three core issues: "AI Collaborative Cockpit and Autonomous Driving Domain Integration Control Optimization," "In-Vehicle Large Model Reconstruction for Full-Scene Smart Cockpit Interaction," and "Embodied Intelligence and AI+ Empowering Automotive Intelligent Innovation Technology." Representatives from automotive companies, enterprises, and university experts expressed their views and engaged in deep discussions. Together, they addressed industry challenges such as technology integration, mass production implementation, and ecological collaboration, while outlining feasible paths for technology implementation. This session helped build a shared industry consensus on collaborative innovation and development within the automotive AI sector.

4. The Benchmark Effect Highlights Empowering High-Quality Development of the Automotive AI Industry

The conference conveyed cutting-edge technologies and practical experiences through nine major keynote speeches. By relying on in-depth discussions to tackle industry development challenges, and leveraging exhibition linkages to achieve a "Hear - See - Talk" industry connection loop, the event effectively promoted the transition of AI technology from the laboratory to mass production vehicles, accelerating the technological transformation and ecological collaboration within the automotive AI industry.

In the future, the China Equipment Management Association New Energy Vehicle Industry Development Promotion Center will continue to focus on the integration and development needs of supply chain companies and OEMs, building a high-quality platform for automotive industry communication and matchmaking. This will inject lasting momentum into the intelligent and autonomous development of the new energy vehicle industry, supporting collaborative innovation across the entire automotive industry chain and global high-quality development.

Exciting Preview – In May, we will host the Chang'an Demand Matching Conference. Enterprises are welcome to register and inquire in advance!