The advent of the deep learning era brings about an increasing interest for artificial intelligence applications in diverse domains. Artificial Intelligence (AI) and archaeology, or Cultural Heritage (CH) in general, have already crossed paths in a number of occasions. From scientific visualization and data representation, to knowledge management, empowerment of research, digital applications for museums, sites and tourism, AI is expected to be ubiquitous and game-changing in the following decades. AI has already successfully appeared in a diverse set of CH applications, including element\/mineral identification, virtual museums, historical document analysis, natural language processing, semantics and knowledge extraction, automated processes in digitization, recommenders, storytelling and personalization. This session aims to attract researchers in this strongly cross-disciplinary domain and give floor to the dialogue between AI and CH, towards the digital heritage of the future.\u00a0Topics of interest in this session include, but are not limited to:\u00a0AI in digital archaeology, digitization and on-site documentation;\u00a0AI in digital cultural content\/object analysis;\u00a0\u00a0AI in content-based classification and retrieval;\u00a0AI in archaeometry and data analysis;\u00a0AI in natural language processing and CH applications;\u00a0AI in semantics and knowledge representation;\u00a0AI in museums and cultural tourism;\u00a0AI in virtual systems for education and tourism;\u00a0Computational archaeology;\u00a0Intelligent methods in spatial and temporal analysis;\u00a0AI and simulations in archaeology and CH;\u00a0Intelligent crowdsourcing approaches.
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