DataFalls_White Edition

DataFalls (2024) unfolds as a dynamic interplay between algorithm and flow. Using data streams and vector field simulations, the artwork evokes the motion of cascading water—at once fluid and mathematical.

Data drifts, accelerates, and dissolves, tracing invisible forces that shape their trajectories. What emerges is not a static image but a living system, where waterfalls become both natural metaphor and computational process: data falls, streams intersect, and patterns form in perpetual transformation.

1920 × 1080, HD, H.264, mov, 00:50