

Machine Learning for Art with Google's Emil Wallner
Nov 28, 2020
In this conversation with Emil Wallner, a machine learning researcher at Google Arts & Culture Lab and creator of mlart.co, listeners explore the fascinating link between AI and artistic expression. Emil discusses creative projects like GAN-generated animations and a robot that crafts poetic texts from images. He highlights the growing accessibility of machine learning tools for artists, making technology inclusive for all. Their chat also touches on historical innovations and collaborative efforts that enrich the art landscape, encouraging creative exploration with AI.
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Unexpected AI Art
- Emil Wallner discovered many new creative AI projects while researching.
- These included GAN-based animations, facial recognition on sand grains, and a poem-writing beach robot.
AI Art Categories
- AI art categories mirror traditional art disciplines like vision, language, audio, and motion.
- GANs have significantly impacted visual art, creating new aesthetics.
Practical AI Applications
- Explore creative AI applications to see practical uses of models.
- Creative projects offer a clearer view of a model's capabilities than research papers.