Machine Learning and Cultural Heritage: An Italian Perspective

Cultural heritage plays a crucial role for societal identity, allowing a deep connection between individuals and their historical roots. In this context the advent of deep learning technologies has significantly influenced the preservation and analysis of cultural heritage, offering innovative and technological solutions for heritage documentation, classification, and restoration. This article presents a short review of existing deep learning methodologies applied to cultural heritage preservation in Italy. By leveraging a systematic literature search, we investigate technological solutions deployed across various Italian regions and analyze their impact on the dissemination of artificial intelligence in this field. Furthermore, we perform a geolocation-based assessment of these approaches to uncover potential correlations between technological novel solutions and regional characteristics. Our findings indicate the critical role of deep learning in modernizing heritage conservation efforts, moreover, highlighting the necessity for continued research and interdisciplinary collaboration in this domain.