"Astronomy in the Early Modern Era: AI Analyzes Old Texts"
Research Group Leader Matteo Valleriani interviewed in a Deutschlandfunk broadcast about using machine learning to analyze early modern astronomy publications. The interview touches on the findings from this academic article:
- Eberle, Oliver, Jochen Büttner, Hassan El-Hajj, Grégoire Montavon, Matteo Valleriani. "Historical Insights at Scale: A Corpus-Wide Machine Learning Analysis of Early Modern Astronomic Tables." Science Advances volume 10, no. 43 issue (2024): 1–16. https://doi.org/10.1126/sciadv.adj1719.
Copyrights
Deutschlandradio © 2024