Architecture Artificial Intelligence

Architecture Artificial Intelligence

Dr. Matias del Campo is a registered architect, designer, and educator. He is an Associate Professor at Taubman College of Architecture and Urban Planning, University of Michigan, director of the AR2IL – The Architecture and Artificial Intelligence Laboratory at UoM, and affiliate faculty member of Michigan Robotics. He conducts research on advanced design methods in architecture, primarily through the application of Artificial Intelligence; collaborating with Michigan Robotics and the Computer Science department. Matias del Campo is the co-founder of the architecture practice SPAN. The 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. Matias del Campo was awarded the Accelerate@CERN fellowship, the AIA Studio Prize, and was elected to the boards of directors of ACADIA and IJAC the International Journal of Architectural Computing. In 2016 and 2020 Matias del Campo co-chaired the ACADIA conference as well as chairing the 2020 DigitalFUTURES edition. SPAN’s work is in the permanent collection of the FRAC, the MAK in Vienna, the Benetton Collection, the Albertina, the Pinakothek Munich, and several private collections. His publishing work includes two editions of AD - Evoking through Design and Machine Hallucinations (co-edited with Neil Leach) as well as the books Neural Architecture – Design and Artificial Intelligence (ORO Editions 2022) and Sublime Bodies (co-authored with Sandra Manninger, Tongji Press 2017) In 2013 the practice expanded its 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.
  • Joined: March 20, 2020
  • Articles: 19

Towards Hallucinating Machines – Designing with Computational Vision

The main aim of this paper is to demonstrate and interrogate a design technique based on deep learning. The discussion includes aspects of machine learning, 2D to 2D style transfers and generative adversarial processes. The paper examines the meaning of agency in a world where decision making processes are defined by human/machine collaborations, and their relationship to aspects of a Posthuman design ecology. Taking cues from the language used by experts in AI such as Hallucinations, Dreaming, Style Transfer and Vision, the paper strives to clarify the position and role of Artificial Intelligence in the discipline of urban design.

Peaches & Plums

The application of AttnGAN in Architectural design Design Team: Matias del Campo, Sandra Manninger, Yining Yuan, Yanci Chen & Mike Shin Artificial intelligence as a design driver In recent years architecture design has entered the field of designing with the…

A Question of Style – Style, Artificial Intelligence and Architecture

The complexity of the term Style consists in the unusual weight and flexibility of the concept itself. In essence the concept defines the main basic rulesets of artistic achievement and excellence. The term Style itself is a latecomer to the considerations of the examination of artistic endeavour and is being discussed in a fierce fashion to this very day. The term Style in this frame of conversation can be divided into two specific cases. Case one is the idea of Style in Architecture. Case two is the use of the term in Computer Science. In combination, these two instances form the frame of this essay on the emergence of novel considerations of style in the architecture discipline through the application of Neural Networks. More specifically: through the adoption of Style transfer as a technique.

Imaginary Maps – a Posthuman Urban Design Method based on Neural Style Transfer 

The main aim of this paper is to demonstrate and interrogate a design technique based on deep learning. The discussion includes aspects of machine learning, 2D to 2D style transfers and generative adversarial processes. The paper examines the meaning of agency in a world where decision making processes are defined by human/machine collaborations, and their relationship to aspects of a Posthuman design ecology. Taking cues from the language used by experts in AI such as Hallucinations, Dreaming, Style Transfer and Vision, the paper strives to clarify the position and role of Artificial Intelligence in the discipline of urban design.

Sensibilities of artificial intelligence an examination of architecture in a posthuman design ecology

The main aim of this paper is to demonstrate and interrogate a design technique based on deep learning. The discussion includes aspects of machine learning, 2D to 2D style transfers and generative adversarial processes. The paper examines the meaning of agency in a world where decision making processes are defined by human/machine collaborations, and their relationship to aspects of a Posthuman design ecology. Taking cues from the language used by experts in AI such as Hallucinations, Dreaming, Style Transfer and Vision, the paper strives to clarify the position and role of Artificial Intelligence in the discipline of urban design.

Machine Hallucinations

The main aim of this paper is to demonstrate and interrogate a design technique based on deep learning. The discussion includes aspects of machine learning, 2D to 2D style transfers and generative adversarial processes. The paper examines the meaning of agency in a world where decision making processes are defined by human/machine collaborations, and their relationship to aspects of a Posthuman design ecology. Taking cues from the language used by experts in AI such as Hallucinations, Dreaming, Style Transfer and Vision, the paper strives to clarify the position and role of Artificial Intelligence in the discipline of urban design.

Imaginary Plans

The main aim of this paper is to demonstrate and interrogate a design technique based on deep learning. The discussion includes aspects of machine learning, 2D to 2D style transfers and generative adversarial processes. The paper examines the meaning of agency in a world where decision making processes are defined by human/machine collaborations, and their relationship to aspects of a Posthuman design ecology. Taking cues from the language used by experts in AI such as Hallucinations, Dreaming, Style Transfer and Vision, the paper strives to clarify the position and role of Artificial Intelligence in the discipline of urban design.