all AI news
Ithaca Paper Published in Nature: The First DNN Designed for Textual Restoration and Geographical and Chronological Attribution of Ancient Greek Inscriptions
March 10, 2022, 5:28 p.m. | Synced
Synced syncedreview.com
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
More from syncedreview.com / Synced
Jobs in AI, ML, Big Data
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior Computer Vision Engineer
@ Motive | Pakistan - Remote
Data Analyst III
@ Fanatics | New York City, United States
Senior Data Scientist - Experian Health (This role is remote, from anywhere in the U.S.)
@ Experian | ., ., United States
Senior Data Engineer
@ Springer Nature Group | Pune, IN