On March 7th at 13h (UK time), GIAP’s co-director Hèctor A. Orengo will give a talk for the Aegean Archaeology Group (University of Cambridge). Open event! Join here: https://us02web.zoom.us/j/88241939796?pwd=dTRzSk N3MjBCRklTZDFPNDFLZjdoQT09 Remote sensing and computational approaches to site detection and landscape reconstruction in the Aegean Hèctor A. Orengo – Institut Català d’Arqueologia Clàssica The last decade…
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We are pleased to invite you to contribute to our sessions in the CAA2022 (Annual Conference of Computer Applications and Quantitative Methods in Archaeology) that will be held from Aug 3rd to 8th in Oxford (UK), in a hybrid format. GIAP-ICAC researchers are leading two sessions: S13: Machine and deep learning methods in archaeological research:…
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We are searching for excellent candidates with a PhD in Computer Science, Remote Sensing or a similar field interested in conducting research in archaeological sites detection based on applying machine learning techniques on multispectral aerial images. Contract duration: 22 months The call will open in the forthcoming weeks through Working at the ICAC/Open calls. The context…
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Today, 6th Nov 2021 at 13.45 CET, Giannis Apostolou (GIAP-ICAC) presents his latest research in the International Conference of Postgraduate Students of History and Archaeology organised by the International Hellenic University: “INTERPRETING IDENTITIES IN THE EASTERN MEDITERRANEAN AND THE BLACK SEA” Abstract: Artificial Intelligence and the archaeology of Greek landscapes The rise of Convolutional Neural…
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Image: detected tumuli in Galicia (Spain): (a) point distribution; (b) heat map. Author: Iban Berganzo. Archaeological tumuli are one of the most common types of archaeological sites and can be found across the globe. This is perhaps why many studies have attempted to develop methods for their automated detection. Their characteristic tumular shape has been…
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Recently, an article in La Vanguardia highlighted our projects in Galicia (Spain), where we have been using Artificial Intelligence and Deep Learning to automatise the detection of archaeological features, structures and sites. With this post, we wanted to provide insight on this transformative methodology. Artificial intelligence (AI) is being considered the fourth industrial revolution. Derived from engineering…
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British maps of modern Pakistan (left) and Syria (right) depicting thousands of potential archaeological sites inadvertently, as topographic anomalies; on purpose, using conventional sites or identified using toponymic references. Image credit: Arnau Garcia-Molsosa. New research using Deep Learning to extract archaeological information from collections of maps produced during the European colonization of South Asia and…
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