Amazon Technologies, Inc.

Rahul Suresh

Sunil Mallya Kasaragod

Nagajyothi Nookula

Ambika Pajjuri

Richard Lee

Dylan Jackson

Hsin Chieh Chen

Liang Li

Haoting Li

Wayne Chi

Indications of sample machine learning models which create synthetic content items are provided via programmatic interfaces. A representation of a synthetic content item produced by one of the sample models in response to input obtained from a client of a provider network is presented. In response to a request from the client, a machine learning model is trained to produce additional synthetic content items.

Hands-on artificial intelligence education service

Methods and apparatus for providing metrics for the quality, attributes, and relationships of music including AI-generated music. Music classification and visualization methods are described that involve transforming music files into graphical representations, generating a similarity matrix for the music files using structural similarity techniques, and generating visualizations of the relationships among the music files using multidimensional scaling techniques. Qualitative scoring methods for AI-generated music are described that involve classifying the AI-generated music using a multi-genre classifier, generating a similarity metric for the AI-generated music to other genres using structural similarity techniques and multidimensional scaling techniques, and generating a qualitative score for the music using confidence in the classification in combination with the similarity metric.

Music generation system

Growing community of inventors

Mountain View, CA, United States of America

Rahul Suresh