Sherol Chen offers an overview of Project Magenta, a research project exploring the role of machine learning in the process of creating art and music. Primarily this involves developing new deep learning and reinforcement learning algorithms for generating songs, images, drawings, and other materials. But it’s also an exploration in building smart tools and interfaces that allow artists and musicians to extend (not replace) their processes using these models.
Sherol Chen is a developer advocate for machine learning for Google Cloud and works in research at Google Brain for machine learning in music and creativity for the Magenta team. Sherol has been working in AI and creativity for the past 14 years. She’s taught artificial intelligence at Stanford and around the world in six different countries. She holds a PhD in computer science, where her research at the Expressive Intelligence Studio focused on storytelling and artificial intelligence. While in graduate school, she founded and managed the Terminal Degree Jazz Band, playing tenor saxophone.
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