Trained on my own archive of moving images developed over the past decade, Brain uses AI not as a tool for automation but as a creative collaborator capable of reorganizing visual memory into new forms.

The resulting imagery exists between recognition and abstraction, where fragments of previous works dissolve, overlap, and re-emerge as unfamiliar landscapes. By allowing AI to learn from my evolving visual language, the project investigates how machine learning can extend artistic imagination, revealing unexpected relationships between images, memory, and perception.

Rather than replacing authorship, Brain asks what happens when an artist's accumulated visual history becomes the foundation for a second form of cognition, transforming a decade of research into body, perception, immersive environments, and identity into continuously evolving new images.