Description:
Based on the artist’s experience of practicing calligraphy for many years, Calligrapedia: A Universal Algorithm #2 utilizes a machine learning to analyze a large number of calligraphy drafts. Drawing inspiration from natural elements such as landscapes, animals, and plants, it has developed a series of human-machine-made Chinese characters that flow between script and organic things. On the other hand, through collaboration with a folk tale narrator, it reinterprets ancient oral stories passed down worldwide with “qualitative transformation” as its core. Deconstructing machine learning’s aspects of image style recognition and simulation, the work explores how words, language, and mythological narratives in human history continuously interpret themselves through learning from the world around them. It constructs an intertwined view of human-machine-nature interaction.
- Machine Learning Engineer | Aisthesis Savage
- Sound Performer | Ku Hsiang-Yu, Yang Yu-Chiao
- Folk Tale Narrator | Yang Yu-Chiao
- Sound Designer | Chen Lin-Shuang
- Data Organizer | Ray He
- Supported by the National Culture and Arts Foundation
