DEEP FORM - Machine Learning in Architecture and Urban Design
Deep Form is part of the AI + Architecture Lecture Series organized by the Media and Design Lab, focusing on the creative and generative role that Machine Learning can have on architectural, urban, and territorial design and research.
For the second session, titled Deep Form, Frederick Chando Kim from MxD, will welcome Andrew Witt and Matias del Campo to present and discuss their work related to methods, findings, and concepts related to Machine Learning at an architectural and urban scale.
The lectures and discussion will be on Monday 13th December, 18:00 – 19:30 at BC 420 and online:
https://epfl.zoom.us/j/64272398290
About the presenters:
Andrew Witt [https://certainmeasures.com/] is a designer creating at the intersection of architecture, geometry, data science, and AI. Trained as both an architect and mathematician, he has a particular interest in a technically synthetic and logically rigorous approach to form. He is an Associate Professor in Practice in Architecture at the Harvard Graduate School of Design and co-founder, with Tobias Nolte, of Certain Measures, a Boston/Berlin-based design and technology studio that combines imagination and evidence for systemic and scalable approaches to spatial problems. Their clients include large manufacturers, material fabricators, government agencies, infrastructure companies, investment funds, and cultural institutions. The work of Certain Measures is in the permanent collection of the Centre Pompidou, and has been exhibited at the Pompidou, the Barbican Centre, Futurium, and Haus der Kulturen der Welt, among others.
Dr. Matias del Campo [https://span-arch.org/] is a registered architect, designer, and educator. He is an Associate Professor at Taubman College for Architecture and Urban Planning, University of Michigan, and director of the AR2IL – The Architecture and Artificial Intelligence Laboratory at UoM. He conducts research on advanced design methods in architecture, primarily through the application of Artificial Intelligence techniques; collaborating with Michigan Robotics and the Computer Science department. Matias del Campo is the co-founder of the architecture practice SPAN. Their award-winning architectural designs are informed by advanced geometry, computational methodologies, and philosophical inquiry. SPAN gained wide recognition for the design of the Austrian Pavilion at the 2010 Shanghai World Expo, and more recently for the Robot Garden at the Ford Robotics Building. SPAN’s work was featured at the Venice Architecture Biennale in 2012 and 2021; ArchiLab 2013, and the Architecture Biennale in Vienna and Buenos Aires in 2019. Solo shows include “Formations,” at the MAK in Vienna and the exhibition "Sublime Bodies" at the Fab Union Gallery in Shanghai, China. In 2013 SPAN expanded their operations to Shanghai, China, where the practice is currently working on building projects of various scales. He earned his Master of Architecture from the University of Applied Arts Vienna and his Ph.D. from the Royal Melbourne Institute of Technology.
For the second session, titled Deep Form, Frederick Chando Kim from MxD, will welcome Andrew Witt and Matias del Campo to present and discuss their work related to methods, findings, and concepts related to Machine Learning at an architectural and urban scale.
The lectures and discussion will be on Monday 13th December, 18:00 – 19:30 at BC 420 and online:
https://epfl.zoom.us/j/64272398290
About the presenters:
Andrew Witt [https://certainmeasures.com/] is a designer creating at the intersection of architecture, geometry, data science, and AI. Trained as both an architect and mathematician, he has a particular interest in a technically synthetic and logically rigorous approach to form. He is an Associate Professor in Practice in Architecture at the Harvard Graduate School of Design and co-founder, with Tobias Nolte, of Certain Measures, a Boston/Berlin-based design and technology studio that combines imagination and evidence for systemic and scalable approaches to spatial problems. Their clients include large manufacturers, material fabricators, government agencies, infrastructure companies, investment funds, and cultural institutions. The work of Certain Measures is in the permanent collection of the Centre Pompidou, and has been exhibited at the Pompidou, the Barbican Centre, Futurium, and Haus der Kulturen der Welt, among others.
Dr. Matias del Campo [https://span-arch.org/] is a registered architect, designer, and educator. He is an Associate Professor at Taubman College for Architecture and Urban Planning, University of Michigan, and director of the AR2IL – The Architecture and Artificial Intelligence Laboratory at UoM. He conducts research on advanced design methods in architecture, primarily through the application of Artificial Intelligence techniques; collaborating with Michigan Robotics and the Computer Science department. Matias del Campo is the co-founder of the architecture practice SPAN. Their award-winning architectural designs are informed by advanced geometry, computational methodologies, and philosophical inquiry. SPAN gained wide recognition for the design of the Austrian Pavilion at the 2010 Shanghai World Expo, and more recently for the Robot Garden at the Ford Robotics Building. SPAN’s work was featured at the Venice Architecture Biennale in 2012 and 2021; ArchiLab 2013, and the Architecture Biennale in Vienna and Buenos Aires in 2019. Solo shows include “Formations,” at the MAK in Vienna and the exhibition "Sublime Bodies" at the Fab Union Gallery in Shanghai, China. In 2013 SPAN expanded their operations to Shanghai, China, where the practice is currently working on building projects of various scales. He earned his Master of Architecture from the University of Applied Arts Vienna and his Ph.D. from the Royal Melbourne Institute of Technology.
Practical information
- General public
- Free