The 6th International Conference on Artificial Intelligence and Industrial Technology Applications Held in Chongqing, China

From April 10 to 12, the 6th International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA 2026) was held in the Liangjiang New Area of Chongqing. The conference adopted a format featuring "one main forum, four parallel sub-forums, and one corporate exhibition," bringing together core research capabilities from academia and industry. The event established an important academic exchange platform for industry-university-research-application collaborative innovation, providing academic references and practical pathways for promoting intelligent industrial development.

The conference was technically supported by the Institute of Electrical and Electronics Engineers (IEEE), guided by the Liangjiang New Area Administrative Committee of Chongqing, and jointly hosted by Beijing Institute of Technology, Chongqing University of Posts and Telecommunications, and the China Academy of Industrial Internet. It was co-organized by multiple universities and research institutions, including the Chongqing Innovation Center of Beijing Institute of Technology, the School of Artificial Intelligence at Beijing Institute of Technology, the School of Computer Science (National Pilot School of Software) at Beijing University of Posts and Telecommunications, the School of Artificial Intelligence at Chongqing University of Posts and Telecommunications, the Data Management and Application Research Institute of the China Academy of Industrial Internet, and the Chongqing Western Big Data Advanced Application Research Institute. The AiScholar academic service platform provided comprehensive support.

It is understood that the Liangjiang New Area is currently deepening its implementation of the "Artificial Intelligence +" initiative, striving to build a nationally leading AI industry cluster. Taking this conference as an opportunity, the area will continue to optimize its industrial ecosystem, attract more innovation resources, and establish a solid industrial foundation for the integrated development of artificial intelligence and industrial technology. Lu Chuncong, President of the China Academy of Industrial Internet, stated that artificial intelligence is becoming a powerful growth driver for high-quality manufacturing development. Leveraging this conference, the Academy aims to establish a high-end industry-university-research exchange platform, deepening cooperation with all parties in areas such as the joint construction of high-quality industrial datasets, collaborative development of industry-specific large language models, and innovation in trustworthy and secure technologies, collectively bridging the "last mile" from cutting-edge AI technologies to industrial applications. Beijing Institute of Technology has accumulated profound disciplinary advantages and research achievements in fields such as artificial intelligence, quantum information, and integrated circuits. Using this conference as a link, the university will join forces with all parties to advance core technology breakthroughs in industrial scenarios, deepen the integration of industry and education, strengthen industry-university-research collaboration, and promote the transformation and implementation of innovative outcomes. Chongqing University of Posts and Telecommunications is comprehensively advancing disciplinary development in the field of artificial intelligence and promoting the digital and intelligent upgrading of traditional engineering disciplines. Centered on the high-quality exchange platform established by this conference, the university will continue to deepen university-district and university-enterprise cooperation, facilitate the precise alignment of technology research and development with industrial needs, and create a new paradigm for empowering new industrialization through artificial intelligence.

During the main forum, Professor Kun Yang from Nanjing University, delivered a keynote titled "AI-Driven Autonomous Communication Networks," sharing cutting-edge technologies and practical pathways for empowering autonomous network evolution through AI. Professor Tie Qiu from Northeastern University, presented "Intelligent Networking and Industrial Software in Large-Scale Industrial Internet of Things," analyzing key technological breakthroughs in industrial IoT networking architectures and industrial software. Researcher Dongdong Du from the China Academy of Industrial Internet, delivered a talk on "Theoretical Framework and Practical Application of Data Engineering," systematically elaborating on theoretical frameworks and practical implementation experiences. Giancarlo Fortino presented "Generative Digital Twins: Principles, Architectures, Methods, and Applications," offering an in-depth interpretation of the technological architecture and industry applications of generative AI-driven digital twins. Professor Yuxin Xu from Beijing Institute of Technology shared insights in "Reflections and Explorations on Data Engineering in High-Risk Industries," presenting innovative practical experiences in data governance and engineering applications within high-risk industries. The keynote speeches provided in-depth discussions spanning technological breakthroughs, algorithmic innovation, scenario implementation, and systematic construction, offering innovative ideas and directional guidance for the deep integration of artificial intelligence and industrial technology.

On the afternoon of April 11, four parallel sub-forums were convened, focusing on themes such as "Industrial Data Engineering Technology and Applications," "Industrial Intelligent Security Technology and Applications," "Industrial Data Intelligence Technology and Applications," and "Research and Application of High-Quality Industrial Datasets." Fifteen invited guests and 23 contributing authors presented on-site reports, while 22 contributing authors showcased their work through poster presentations, providing practical experience for advancing the deep integration of artificial intelligence into industrial vertical domains.

Throughout the conference, over ten enterprises showcased their latest technological achievements and product solutions for AI empowerment in the industrial sector, creating a high-quality communication platform for the transformation of research outcomes and the alignment of industrial supply and demand.