March 10, 2022, 5:28 p.m. | Synced

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A research team from DeepMind, Ca’ Foscari University of Venice, University of Oxford and Athens University of Economics and Business introduces Ithaca, a deep neural network (DNN) designed for textual restoration and geographical and chronological attribution of ancient Greek inscriptions.


The post Ithaca Paper Published in Nature: The First DNN Designed for Textual Restoration and Geographical and Chronological Attribution of Ancient Greek Inscriptions first appeared on Synced.

ai artificial intelligence attribution deep-neural-networks machine learning machine learning & data science ml paper research technology

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