Hear the Guy Behind Google’s AI Music and Art Project Explain How Deep Learning Is Reshaping Sounds and Images


While many of his colleagues at Google are busy working on things like search, Web browsing, or mobile software, Douglas Eck spends a lot of time thinking about how to use computers to make music that sounds as natural as a pianist tickling the ivories.

Eck is a research scientist on the Google Brain team, heading up Magenta—an open-source research project that’s making music and art with machine learning. And while his work may not sound like the typical task for the company, he thinks that given music’s complexity, making progress on using AI in the creative process could bleed over into other areas, too.

In this interview with MIT Technology Review, Eck discusses Magenta researchers’ efforts to use deep learning to create entirely new sounds and plays some music created via Magenta. He also discusses what it means to use AI in the creative process, and whether art can really be original if it’s made with the help of a computer trained on, for instance, the entire history of Madonna songs.

This recording is only available to Insider Premium Subscribers. Already subscribed?
About this series

This story is part of our ongoing Insider Conversations series that allows Premium subscribers to be a part of the conversation as our editors talk with innovators and entrepreneurs. See the whole series here.

If you are an Insider Premium subscriber, we’ll send you an email announcing the next Insider Conversation. Keep an eye out and we hope you can join us.




Reply

Select Language