R-010

Barcelona CREA Grant

October - November 2024

R-010. Madrid, 1997

R-010 is an experimental artist and researcher exploring the intersection of neural networks, sound art, and contemporary music production. Through a forward-thinking approach, R-010 investigates how artificial intelligence can complement and enhance human creativity, leveraging cutting-edge technologies to push the boundaries of artistic expression.

As part of his research project, R-010 has developed a framework for training neural networks using curated audio libraries of vocal samples, drum patterns, and classical guitar recordings. These datasets were meticulously prepared to feed machine learning models capable of generating new sonic textures and compositional structures, bridging the gap between traditional musicianship and computational creativity.

The project combines the intuition and artistry of human creation with the generative potential of neural networks, resulting in unique auditory experiences that explore new paradigms of music production and composition. By seamlessly integrating AI-generated materials into the creative process, R-010 demonstrates the transformative possibilities of collaboration between human and machine in sound art.

Through his ongoing work, R-010 aims to expand the possibilities of sonic art while contributing to broader discussions on the artistic potential of artificial intelligence in the cultural landscape.