AI + Arts and Music
Art and AI Research Projects for High School Students
Artificial intelligence is transforming how we generate art and music, develop music recommendations, and understand the overall fields of art and music. In the AI Scholars program, high school students can work on a project at the intersection of AI + art and music.
Sample AI + Arts and Music Projects from Past AI Scholars Students
AI + Generative AI and Sketch Recognition
Using Dall-E and generative AI as a model to build a sketch recognition project.
Developed by:
Erica Yuen
MIT
AI + Music Recommendation Systems
Using AI to make personalized music recommendations using Spotify’s existing databases.
Developed by:
Aditya Chander
Cambridge University
AI + Listening to the Music of Speech
Breaking down spoken language into individual lyrical units with a deep neural network trained to hear the melodies of human conversation.
Developed by:
Sophia Barton
Stanford University
Meet Our AI + Arts and Music Curriculum Advisors
Erica Yuen
Master’s and Bachelor’s in Computer Science | MIT
Research focuses on human-computer Interaction, computer vision, and image processing. Erica is passionate about exploring how we can use machine learning to enable creativity.
Aditya Chander
Master’s in Music, Science, and Technology | Stanford University | Bachelor’s in Music | Cambridge University
Pursuing a PhD in Music Theory at Yale, while researching data science, music perception and cognition, computational music theory and arts management.
Sophia Barton
Master’s in Computer Science | Bachelor’s in Symbolic Systems and German Studies | Stanford
Now a licensed real estate agent with the world-renowned Oppenheim Group in West Hollywood, CA, Sophia also leads the AI + X course Hacking Siri and Alexa: Listening to the Music of Speech.
AI Scholars Program Overview
AI Scholars Live Online is a 10 session (25-hour) artificial intelligence bootcamp that exposes high school students to fundamental AI concepts and guides them to build a socially impactful project. Taught by our team of graduate students from Stanford, MIT, and more, students receive a personalized learning experience in small groups with a student-teacher ratio of 5:1.
