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.
Here’s how a Twitter engineer says it will break in the coming weeks
One insider says the company’s current staffing isn’t able to sustain the platform.
Technology that lets us “speak” to our dead relatives has arrived. Are we ready?
Digital clones of the people we love could forever change how we grieve.
How to befriend a crow
I watched a bunch of crows on TikTok and now I'm trying to connect with some local birds.
Starlink signals can be reverse-engineered to work like GPS—whether SpaceX likes it or not
Elon said no thanks to using his mega-constellation for navigation. Researchers went ahead anyway.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.