Machine Learning Study
AI Form Factor
Conceived for a student workshop at Işık University, this experiment investigates the intersection of machine intelligence and architectural imagination. The study explores how students engage with AI-driven design prompts within a live generative environment. The system analyzes spatial scenes, identifies student-defined water phenomena, and synthesizes these inputs into architectural concepts, translating environmental 'tags' into shifting 3D geometries.
This study uses an onboard AI engine hosted directly within the portfolio.
Select any image to analyze it through the neural network.
The wireframe geometry reacts and shifts proportionally to the inference probabilities.