keywords⁄
machine-learning
What Bricks Want: Machine Learning and Iterative Ruin (2016)
Robotic Constraints Informed Design Process (2019)
Rapidly Deployed and Assembled Tensegrity System: An Augmented Design Approach (2017)
Machines' Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification (2017)
HalO [Indoor Positioning Mobile Platform]: A Data-Driven, Indoor-Positioning System With Bluetooth Low Energy Technology To Datafy Indoor Circulation And Classify Social Gathering Patterns For Assisting Post Occupancy Evaluation (2017)
Evaluating Buildings with Computation and Machine Learning (2016)
Emergent Syntax: Machine Learning for the Curation of Design Solution Space (2017)
An Anonymous Composition (2019)