Jiangsu: Carry out research on key technologies for physical AI and world model data

Recently, the "Action Plan for Building High-Quality Datasets for Physical AI and World Models in Jiangsu Province" was issued. It mentions carrying out key technical research on data for physical AI and world models. Tailoring measures to local conditions, systematically identify key technical bottlenecks in the collection, processing, circulation, and integrated application of physical AI and world model data, with a focus on achieving breakthroughs in technologies such as multi-source heterogeneous semantic alignment and fusion processing, ontology modeling, and multimodal data synthesis and simulation enhancement. Oriented toward the frontier directions of world models, advance key technical research in multimodal spatiotemporal alignment, cross-domain adaptive transfer, and causal consistency modeling. Explore the establishment of a large-model evaluation and annotation technology system for physical AI and world models.