
Ninon is an electronic music performer, PhD candidate at IRCAM in Paris, and researcher at Native Instruments in Berlin. Her work explores the fusion of artificial intelligence, sound synthesis, and live performance, focusing on real-time neural synthesis and the control of deep learning-based models. As the creator of the Neurorack—the first modular synthesizer driven entirely by deep learning—Ninon has pioneered new methods for generative sound design. Her research pushes the boundaries of how AI can contribute to music, fostering creative possibilities that blend technology with artistic expression.
A strong advocate for integrating technology into the creative process, Ninon uses custom AI models in her performances. She combines computational tools with traditional musicianship to create immersive, multisensory experiences that expand the horizons of sound design and composition. By using movement as input data and exploring new sonic textures, her work challenges conventional notions of live electronic music, emphasizing collaboration between humans and machines.
Jun Suzuki, a French-Japanese multimedia artist and former opera singer based in Marseille, focuses on live performance and interactive installation art. His work examines the relationship between generative AI, ecology, and cultural identity, blending analog techniques like tape recording with advanced AI-driven systems. Suzuki’s practice draws from his multicultural upbringing, incorporating Japanese linguistic elements and field recordings to create works that interrogate anthropocentric assumptions and explore themes of impermanence and belonging.
Through collaborations with XR artists, dancers, and researchers, Suzuki crafts interactive sonic experiences that challenge the biases and limitations of generative AI models. His work seeks to reimagine ecological coexistence, offering alternatives to dominant narratives about technology and nature. By bridging technology and culture, Suzuki explores innovative ways to engage with the world’s shifting landscapes.