Machine Learning & Music Series by Gray Area and the Magenta team at Google Research

Machine Learning has entered the creative workspace in recent years with new artistic possibilities. From audiovisual processing and composition tools to music information retrieval and recommendation systems, artificial intelligence is used to generate songs, playlists, and visuals that massively reshape our contemporary sound & imaging landscapes.

Google Research's Magenta and Gray Area are teaming up to explore the creative integration of machine learning, music, and art in new software applications during a full month of free remote workshops, lectures, and community hacks. Series participants who submit creative work will be entered to win cash and Google hardware prizes.

Explore new ways of connecting at a distance through music, software, and art.

The BitRate: Remote Machine Learning & Music Series is open to everyone — no prior knowledge is required.

DATES

Introduction and Opening - August 7th

5:30pm - 6pm PST: Introductions by Gray Area and Google Research Magenta Teams.

Workshops and Lectures - August 7th - August 9th

August 7th, 6-9pm PST: p5.js Workshop - Instructor: Rachel Rose Waterhouse
August 8th, 11am - 2pm PST: Magenta.js Workshop - Instructor: Tero Parviainen
August 9th, 12pm - 3pm PST: ml5.js Workshop - Instructor: Stephanie Andrews

Series Begins - August 7th

Teams gather and begin process of prototyping.

Project Submissions - August 31st

Projects created will be submitted on devpost.com.

Conclusion and Awards - September 7th

Finalists selected and announced.

 

View full rules

Prizes

$2,563 in prizes

Google Nest Mini (5)

https://store.google.com/product/google_nest_mini

Participants eligible to receive this prize who live in the following areas: Australia, Austria, Belgium, Brazil, Canada, Denmark, France, Germany, India, Ireland, Italy, Japan, Netherlands, Norway, Singapore, South Korea, Spain, Sweden, Switzerland, Taiwan, United Kingdom, United States (except Puerto Rico).
We cannot ship this item to territories outside of those mentioned above.

Google Nest Hub (4)

https://store.google.com/product/google_nest_hub

Participants eligible to receive this prize who live in the following areas: Australia, Austria, Belgium, Canada, Denmark, France, Germany, Japan, Netherlands, Norway, Singapore, South Korea, Sweden, Switzerland, United Kingdom, United States (except Puerto Rico).
We cannot ship this item to territories outside of those mentioned above.

Google Nest Hub Max (2)

https://store.google.com/product/google_nest_hub_max

Participants eligible to receive this prize who live in the following areas: Australia, Canada, France, Japan, United Kingdom, United States (except Puerto Rico).
We cannot ship this item to territories outside of those mentioned above.

$500 Cash (3)

The top three project submissions will each recieve $500 cash.

Presentation to the Magenta team at Google Research (3)

The top three project submissions will present their work to the Magenta team at Google Research

Devpost Achievements

Submitting to this hackathon could earn you:

Eligibility

  1. ELIGIBILITY: To be eligible to enter the Contest, you must be: (1) above the age of majority in the country, state, province or jurisdiction of residence (or at least twenty years old in Taiwan) at the time of entry; (2) not a resident of not a resident of Italy, Brazil, Quebec, Crimea, Cuba, Iran, Syria, North Korea, Sudan, Russia, Ukraine, Kazakhstan, or Belarus; (3) not a person or entity under U.S. export controls or sanctions; and (4) have access to the Internet as of August 7th, 2020 . Minors who enter must have the written consent of a parent or legal guardian in order to be eligible to receive any prizes, as described in Section 7 of these Rules. Contest is void in not a resident of Italy, Brazil, Quebec, Crimea, Cuba, Iran, Syria, North Korea, Sudan, Russia, Ukraine, Kazakhstan, or Belarus), and where prohibited by law.  Employees, interns, contractors, and official office-holders of Google, Gray Area, and their parent companies, subsidiaries, affiliates, and their respective directors, officers, employees, advertising and promotion agencies, representatives, and agents (“Contest Entities”), and members of the Contest Entities’ and their immediate families (parents, siblings, children, spouses, and life partners of each, regardless of where they live) and members of the households (whether related or not) of such employees, officers and directors are ineligible to participate in this Contest. Sponsor reserves the right to verify eligibility and to adjudicate on any dispute at any time.

Requirements

Develop an artistic application integrating machine learning and music. 

  • Submit a 2-5 minute demo video hosted on YouTube, Vimeo, or Youku. Your video should include a demo of your working application.
  • Please submit at least one image or screenshot of your application.
  • Make sure all of your code has been uploaded to a public repo on GitHub, and a link to the repo has been included in your application.

All projects must be submitted by August 31st, 2020, at 11:45 PM Pacific Time. Winners will be announced on September 7th.

Judges

Sehmon Burnam

Sehmon Burnam
Google

NIki Selken

NIki Selken
Creative Development Director - Gray Area

Nadav Hochman

Nadav Hochman
Associate Director - Gray Area

Tero Parviainen

Tero Parviainen
Software Developer

Stephanie Andrews

Stephanie Andrews
Artist and Experience Designer

Douglas Eck

Douglas Eck
Research Scientist / Google Magenta

JesseEngel

JesseEngel
Research Scientist / Google Magenta

Rachel Rose Waterhouse

Rachel Rose Waterhouse
Artist, Designer, and Technologist

Judging Criteria

  • Creativity of Project
    Does the project explore the potential of AI and music in an unexpected way?
  • Social Value
    What kind of social values are embedded in the creative process and final application? How does the software application use deep learning, music, and creativity to make the world a little bit better?
  • Technical Complexity
    Does the application integrate a large number of components? Is it widely useful, and scalable?

themes

  • Machine Learning/ AI
  • Social Good