Event overview
Douglas Eck (Google Brain) discusses Magenta, a project to generate music, video, images and text using machine intelligence.
4.30-5.30pm Monday 7 November 2016
Lecture Theatre, Ben Pimlott Building, Goldsmiths
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The Magenta Project is an effort to generate music, video, images and text using machine intelligence. The goal of Magenta is to produce open-source tools and models that help creative people be even more creative. Magenta poses the question: “Can machines make music and art? If so, how? And if not, why not?”
(Partial answer: machines won't replace artists or musicians anytime soon, thankfully!)
In this edition of the Whitehead Lecture Series, Douglas Eck (Research scientist at Google Brain) gives an overview of Magenta with focus on closing the loop between musicians and code. He'll discuss recent progress in audio and music score generation, and will focus on the challenge of improving machine learning generative models based on user and artist feedback.
Bio: Douglas Eck is a research scientist at Google working in the areas of music and machine learning. Currently he is leading the Magenta Project, a Google Brain effort to generate music, video, images and text using deep learning and reinforcement learning. One of the primary goals of Magenta is to better understand how machine learning algorithms can learn to produce more compelling media based on feedback from artists, musicians and consumers. Doug led the Search, Recommendations and Discovery team for Play Music from the product's inception as Music Beta by Google through its launch as a subscription service.
Before joining Google in 2010, Doug was an Associate Professor in Computer Science at University of Montreal (MILA lab) where he worked on rhythm and meter perception, machine learning models of music performance, and automatic annotation of large audio data sets.
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http://research.google.com/pubs/author39086.html
https://magenta.tensorflow.org
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Dates & times
Date | Time | Add to calendar |
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7 Nov 2016 | 4:30pm - 5:30pm |
Accessibility
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