Machine Learning (ML) is reshaping archaeology, offering powerful tools for analyzing a wide range of data, from geospatial information and material artifact data to textual records. The rapid adoption of ML in archaeological research has transformed our ability to identify and interpret complex patterns. ML automates existing methods and introduces innovative approaches such as computer vision and big data analysis.

Machine Learning in Archaeology: An introduction to concepts and practical applications, 5-7 March 2024 at ICArEHB (Faro, Portugal).

More info: https://www.icarehb.com/icarhub/tifa/machine-learning/