Tokyo, Japan, July 15, 2022 – Qosmo, Inc., a company advancing the creativity of mankind with Art and Technology, releases a new white paper “An Overview of AI Music Generation and its Potential” summarizing the use of AI in the music field including its technological trends, its business applications, and its impact on society. The white paper is available as a free downloadable PDF from the Qosmo website at the link below. The 30-page report is a comprehensive review of AI in music written for a non-technical audience by the industry leading experts at Qosmo.
This report is written for those who have no prior knowledge of music AI as an academic field or a business industry. In order to help understand this area of research, technological advances are discussed in order of chronicle significance and social impact, saving the readers time from going through research papers and latest news to catch up with the state of the art.
Sample audio and video is crucial to understanding each research topic. This white paper includes links to many relevant resources alongside the descriptions and discussions in the text.
Qosmo has been at the forefront of AI music creativity through projects such as AI DJ, Neural Beatbox, and Imaginary Soundscape, many of which have been highly acclaimed at a global level. This report leverages the best and the latest knowledge of industry experts.
A special one-time online seminar will be held on Aug 3rd with the authors and editors of the white paper. This event is free to attend with prior registration at the link below. The speakers will present a summary of the report and answer any questions the audience may have.
Akira specializes in creating business value through the use of data and artificial intelligence, and has helped hundreds of companies in Japan and abroad. He served as Chief Data Scientist and CEO of DataRobot, Inc.
Christopher is a researcher interested in the future of sound design and applying deep learning to audio production. Before coming to Japan as a MEXT scholar, Christopher worked on machine learning projects at a variety of different companies and institutions including: Airbnb, AI2, Google, and the University of Waterloo KIMIA Lab.
Graduated in 2020 from the Graduate School of Media and Governance at Keio University (Ex-Design Program). He is interested in generative image production and the future of human creative activities, and engages in various activities such as production and research.