What is AWS DeepComposer Chartbusters?
Chartbusters is a global challenge where developers use AWS DeepComposer to create original compositions and compete in monthly challenges to showcase their machine learning and generative AI skills.
Every month, AWS will release a Chartbusters challenge that has a unique theme such as building a custom genre model, or extending a melody using machine learning. These monthly themes span a breadth of generative AI techniques such as GANs, autoregressive models, and transformers.
Developers will use AWS DeepComposer to create their original compositions and submit them to a Chartbusters playlist on SoundCloud. SoundCloud Terms and Conditions may apply.
Listeners from around the world will be invited to vote on the compositions. After the judges select the top 10 compositions based on the judging criteria, the sum of customer ‘likes’ and 'playcount’ on SoundCloud will be used as tie-breakers.
The winner of each monthly challenge will have the opportunity to be featured in the AWS ML blog and receive an AWS DeepComposer Chartbusters gold record award.
October 1, 2020 - October 23, 2020
We are back with a spooktacular competition! Create spooky music with the use of our ghost in the machine (learning) and compete in our next Chartbusters Challenge, Track or Treat. It is easy to compete in the challenge: create a composition in AWS DeepComposer's music studio, then work on your composition by editing the input melody and selecting sounds from a haunted library of the spookiest sounding instruments we could find. Create as many compositions as you like and once you think your composition is “scary” enough, download the composition, choose “Chartbusters” in the navigation bar, and submit your composition to SoundCloud via the AWS DeepComposer console. Although you don’t need a physical keyboard to compete, you can buy the AWS DeepComposer keyboard for $99.00 to enhance your music generation experience.
AWS Head of ML Business Development for Startups and Venture Capital
Allie was named by Forbes and AI Summit as 2019‘s "AI Innovator of the Year", LinkedIn Top Voice for Technology 2019, Award Magazine’s Top 50 Women in Tech, ReadWrite’s Top 20 AI Speakers in the World, MKAI’s Top 20 AI Mavericks, and Neptune’s Top 20 AI Influencers. Allie serves as National Ambassador for AAAS and Advancing Women in Product. Previously, Allie was the youngest-ever woman to build an AI product at IBM—spearheading development across vision, conversation, data, and regulation. Outside of work, Allie has spoken about AI and field diversity around the world, drafted national AI strategies, and created eight guidebooks on how to build successful AI projects.
AWS ML Hero and Liberty IT software Engineer
Gillian is a software engineer and AWS ML Hero. She works for Liberty IT, where she has the opportunity to find places where AI can be a differentiator for the company, and to build solutions to solve real-world business problems. She is deeply passionate about exploring how creativity and human-centric design can be paired with AI to create new ways of interacting with and thinking about technology. She also loves to share her love of AI and Cloud Computing with anyone who will listen! You can connect with her on Twitter at @virtualgill.
AWS Senior ML Engineer and AI Researcher
Dylan works to build experiences which facilitate the exploration of AI/ML, making new and exciting techniques accessible to all developers. Before AWS, Dylan was a Senior Software Developer at Goodreads where he leveraged both a full-stack engineering and machine learning skillset to protect millions of readers from spam, high-volume robotic traffic, and scaling bottlenecks. Dylan is passionate about exploring both the theoretical underpinnings and the real-world impact of AI/ML systems. In addition to his professional career, he enjoys reading, cooking, and working on small crafts projects.