Ars Semantica Garden
Christl Baur (AT/DE), Germán Ito (AR), Veronika Liebl (AT), Mariano Sardon (AR), Mariano Sigman (AR/ES), Marcos Trevisan (AR)
Through the uses of deep learning tools for the semantic analysis of texts, Ars Semantica looks for correlations and visualizations of the the Ars Electronica archive by comparing them to artistic and techno-scientific textual corpuses through time.
