Musicians Coding AI for Themselves
$83.11
- Paperback
290 pages
- Release Date
8 October 2026
Summary
Musicians Coding AI for Themselves blends cutting-edge academic research with the real-world experiences of musicians working at the intersection of music and AI. This book not only reflects on the philosophical implications of AI in music but also offers readers insights into the technical inner workings of bespoke, artist-crafted AI systems.
The chapters are written by emerging and innovative coder-musicians who present their own artistic practice and research, with a focus…
Book Details
| ISBN-13: | 9781041016663 |
|---|---|
| ISBN-10: | 1041016662 |
| Author: | Constantin Basica, Julie Zhu |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | Routledge |
| Format: | Paperback |
| Number of Pages: | 290 |
| Release Date: | 8 October 2026 |
| Weight: | 590g |
| Dimensions: | 156mm x 234mm |
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Constantin Basica
Constantin Basica
Constantin Basica, DMA, is a Romanian composer whose work focuses on symbiotic interrelations between music, video, and performers. His music has been presented internationally by distinguished artists at events such as MATA Festival, Ars Electronica Festival (Bucharest Garden), World New Music Days, George Enescu Festival, and the International Computer Music Conference. He earned his doctorate in composition and completed postdoctoral training at Stanford University. In recent years, he has collaborated with researchers on developing AI tools for co-creativity that explore “translations” between media. Basica is a lecturer in music at Stanford’s Center for Computer Research in Music and Acoustics (CCRMA).
Julie Zhu
Julie Zhu, DMA, is a composer, artist, and carillonist. Her work stands interstitial to instrumental music, electronics, and performance within settings ranging from chamber music stagings to museum sound installations to experimental film scores. Concision and poetry characterize her music, with commissions from Radio France, Dark Music Days Reykjavík, GMEM Marseille, GRAME Lyon, and Chamber Music America. Her research on music and AI focuses on the project Deep Drawing, which tests a machine’s ability to bring the intricate noises of drawing and writing to visual life. Zhu is an assistant professor of performing arts technology at the University of Michigan.
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