The 2026 Physical AI and World Model Conference, co hosted by Jiangsu Provincial Data Group, Nanjing Big Data Group, and the Chinese Society for Artificial Intelligence, will be held in Nanjing from October 19th to 22nd.
The 2026 Physics AI and World Model Conference will be guided by General Secretary Xi Jinping's important discourse on artificial intelligence, deeply implement the spirit of the State Council's "Opinions on Deepening the Implementation of the 'Artificial Intelligence+' Action", and focus on showcasing cutting-edge technologies and innovative achievements in related fields under the theme of "Modeling the Physical World · Intelligent and Bright Future", promoting the deep integration and coordinated development of theoretical innovation, technological innovation, and industrial ecology.
As the first high-level conference in China focusing on the field of physics AI and world models, this conference will highlight its first launch advantage and adopt the form of "1 opening ceremony+1 supporting exhibition+N theme seminars", inviting top domestic and international experts, as well as representatives from scientific research institutions, key enterprises, and industries to attend.
The conference will focus on sub venue themed discussions on the theoretical foundations of world models, medical artificial intelligence, industrial world models, data development, autonomous driving, generative algorithms, spatial intelligence, and embodied intelligence. It will also follow the requirements of physical AI and world models from technological development to industrial implementation
data collectionCentralized exhibition areas will be set up in areas such as governance and application, infrastructure support, model and intelligent agent research and development, and various scenario applications to promote deep integration of technology, data, capital, and scenarios. The conference will also focus on releasing industry alliances, industry maps, and typical achievements, aiming to build Jiangsu into an innovative source, industrial development highland, and ecological agglomeration in the field of physical AI and world models.
Source: Jiangsu Data
Editor: Liu Min
Reviewed by: Han Yi
Final review: Xiao Yunke