Fractal patterns born from quantum simulations and adversarial neural architecture. Explore the evolving relationship between machine learning and quantum physics.
Generated from a 12-layer GAN network trained on 500,000 quantum field simulations.
Time-lapse visualization of neural network weight adjustments during training convergence phase.
Interactive simulation of decision trees in adversarial training conditions, rendered into 2D projection space.
This series was created using a custom hybrid network combining convolutional and transformer architectures. The visualizations represent the activation patterns of 64,000 individual neurons trained on a dataset containing 1.2 million synthetic images generated via fractal noise and quantum wave function simulations.
Entanglement patterns in simulated spacetime curvatures.
See how we bridge quantum physics and neural architectures to create evolving art.