Incorporating sparse model machine learning in designing cultural heritage landscapes

Goodarzi, Parichehr; Ansari, Mojtaba; Pour Rahimian, Farzad; Mahdavinejad, Mohammadjavad; Park, Chansik

doi:10.1016/j.autcon.2023.105058

Cited by 4 publications

(1 citation statement)

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“…High-quality and diverse datasets are fundamental for training AI models. Particularly in CH, datasets often suffer from limited availability, data gaps, and challenges related to data annotation and standardization [149][150][151]. Unlike in, for instance, medical AI [152], an optimized heuristic interpretation is not sufficient for historical sources and their singularity [27].…”

Section: Quantity and Historical Singularitymentioning

confidence: 99%

Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe

Münster,

Maiwald,

di Lenardo

et al. 2024

Heritage

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Artificial intelligence (AI) is a game changer in many fields, including cultural heritage. It supports the planning and preservation of heritage sites and cities, enables the creation of virtual experiences to enrich cultural tourism and engagement, supports research, and increases access and understanding of heritage objects. Despite some impressive examples, the full potential of AI for economic, social, and cultural change is not yet fully visible. Against this background, this article aims to (a) highlight the scope of AI in the field of cultural heritage and innovation, (b) highlight the state of the art of AI technologies for cultural heritage, (c) highlight challenges and opportunities, and (d) outline an agenda for AI, cultural heritage, and innovation.

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