(Including but not limited to the following topics)
Track 1: Machine Learning and Cultural Heritage
Computer vision technology for cultural heritage
Deep learning and artifact image recognition
Pattern recognition and cultural heritage classification
3D reconstruction and digitization of artifacts
Multimodal deep learning and integration of heritage data
Generative AI and cultural heritage restoration
Construction of cultural heritage knowledge graph
Natural language processing and ancient book restoration
Intelligent analysis and reasoning of cultural heritage
Intelligent monitoring and early warning of cultural heritage

Track 2: Data Analysis and Heritage Digitization
Cultural heritage big data collection and processing
Multi-source data fusion and heritage modeling
Data mining and prediction of archaeological discoveries
Time series analysis and research on heritage evolution
Data visualization and heritage display
Construction and management of cultural heritage databases
Open data and heritage benchmark testing
Remote sensing data analysis and site exploration
Geographic information systems and heritage spatial analysis
Digital twin and heritage site modeling
Track 3: Intelligent Technologies and Heritage Protection Applications
AI-driven heritage protection and restoration
Cultural heritage risk monitoring and assessment
Intelligent guided tours and immersive heritage experiences
Virtual archaeology and artifact visualization
Long-term preservation technology for digital archives
Blockchain and cultural heritage certification
Sustainable heritage management and digital governance
Community participation and citizen science
Cultural heritage education technology
Ethics and responsible innovation