2024 Neural VVision
An exploration of neural networks through immersive digital experiences and generative visual research.
⚙️ Explore the VisualsUnderstanding Neural Visions
Neural Visions is an ongoing research project exploring the emergent properties of deep learning models in creative contexts. By training custom neural networks on 300,000+ digital artworks, we've developed an AI capable of generating complex visual patterns that blur the line between machine learning and human creative intuition.
- Over 850,000 generated visual patterns cataloged for research
- Custom convolutional networks optimized for fractal pattern recognition
- Collaborative exhibition at Digital Art Week 2025
Technical Foundations
Neural Engine
Custom convolutional network trained on fractal patterns from 1890-2025 art movements
Data Pipeline
Curated dataset from 700+ art history archives with 3D rendering metadata
Deployment
Real-time WebGPU rendering for interactive fractal pattern exploration
Pattern Showcase
Synthetic Fractals
Evolved from recursive neural pattern training
Style Transfer
Deconstructed cubist patterns through neural rendering
Fractal Evolution
Emergent behavior in 3D pattern generation
Project Evolution
Phase 1 - Algorithm Design
Designed neural loss functions to capture emergent pattern formation in digital landscapes.
July 2024
Phase2 - Training
Trained on 185,000+ curated fractal patterns using custom augmentation pipeline with GPU clusters.
October 2024
Phase3 - Public Launch
Released open-source pattern generator with browser-based neural inference.
January 2025
Explore AI-Generated Fractals
Want to study the dataset or contribute to future visual pattern research? Join our open-source collaboration.