Course Content
6 Lessons
This workshop focuses on using machine learning to make design decisions. It covers theory and practical applications in various areas, such as facade and urban.
3 courses5.0
Nowadays, computers are often the ones calling the shots, and this trend is everywhere. From creative/aesthetic decisions to preparing blueprints, you’re always trying to make the best choice based on a few key details. But making the right call quickly isn’t easy because there’s much to consider. That’s where machine learning and artificial intelligence come in—tools that help us make smarter choices and reduce potential errors. Now, they are accessible more than ever, especially for designers, engineers, and planners.
How to recognize optimizable problems in your workflow or tasks and automate them.
First steps into data science and machine learning
Analyze existing morphologies/structures and optimize them according to specific criteria.
Make design decisions based on computed recommendations.
Course Content
Zvonko is an architect turned engineer and digital fabricator. He is currently addressing the challenge of integrating data science and machine learning into design and fabrication processes. He is working on his company, Pixolid UG, which operates in these fields, in Berlin. Zvonko has also been active in academia, working as a researcher and lecturer at various universities in Berlin and the surrounding area, including TU Berlin, BTU Cottbus, and IU Berlin, in the fields of digital fabrication, robotics, and computational/generative design.
His work focuses on bridging the gap between digital models and physical realities by training models to enhance robot-to-robot and human-to-robot collaboration. In this workshop, he will share his experience of translating real-world objects from photographs and demonstrate how computer vision and adaptive toolpaths can transform fabrication and design workflows.
Thank you
Very nice workshop!