The Architecture + Artificial Intelligence Laboratory (AR2IL) presents itself as an opportunity to shape the emerging field of Architecture and Artificial Intelligence (AI), and to reflect on the implications of a world increasingly entangled in questions of the expediency, agency, culture, and ethics of AI.
NEWS
Neural Architecture Symposium and Exhibition
Do you want to know more about Architecture and Artificial Intelligence? About ways to use it as a design method? About the technology behind it? About the ethical and cultural implications? About Agency, Authorship, and Sensibility in this new design paradigm? Two weeks to go for the launch of the Neural Architecture exhibition and symposium!…
Common House Received Arts Integrative Interdisicplinary (AiiR) Faculty Grant
Common House: Semantic Plan Database for GAN’s in Architecture
Robot Garden
Location: University of Michigan, Ann Arbor, MI, USA Design Team: Matias del Campo, Sandra Manninger & Alexandra Carlson Officially open in Sep, 2021. See related news here. Positioned along the concave western façade of the new Robotics building, the robot garden serves as a testing ground for mobile robots of various families. The design of…
CityX Venice – Architecture and AI Panel
A discussion on methods, insights, and future possibilities of applications in Artificial Intelligence and Architecture design. The conversation gravitated around aspects of agency, emergent culture, ethics, bias, and the role of humans in a design ecology defined by Neural Networks and Artificial Intelligence at large. With Daniel Bolojan, Daniel Koehler, Immanuel Koh, Sandra Manninger and…
Common House
The project focuses at the problem of floor plan analysis and generation using neural networks.
Model Mine
A large scale 3D model housing database for Architecture design using Graph Convolutional Neural Networks and 3D Generative Adversarial Networks.
The Meat of AI: Architecture & Dataset Creation
Workshop at DigitalFUTURES 2021 We are happy to announce that the AR2IL (Architecture and Artificial Intelligence Laboratory) at Taubman College of Architecture and Urban Planning, University of Michigan, will be hosting a workshop at DigitalFUTURES this year. Have a look under the hood of the ongoing research at the AR2IL. (https://ar2il.com/) We are focussing on…
V{M} – Visionary Machines
The studio Visionary Machines (V{M}) presents itself as an opportunity to critically investigate the role of Artificial Intelligence in a future world of building.
From Data Scarcity to Data Abundance: AI as an Agent of Culture with Matias del Campo
Published by Data Aided Design, April 26, 2021 Acess to the whole content In the rapidly developing field of artificial intelligence in design, the architectural practice SPAN, co-founded by Dr. Sandra Manninger and Dr. Matias del Campo, investigates technology not only as a tool but as an agent of culture. SPAN has gained prominence in…
Through Conversations Podcast – Design, Architecture, and Artificial Intelligence
Through Conversations, by: Alex Levy Length: 50 mins Online Track Highlights 2:36 Matias’ Trajectory 7:20 What exactly is Artificial Intelligence? 9:20 The impact of Artificial Intelligence on Architecture. 11:15 Will Artificial Intelligence become a new species? 13:01 Autopoiesis and Artificial Intelligence. 14:20 How can a species that has flaws, such as the human species, create another…
Merging Agencies – Enriqueta Llabrés and Matias del Campo
Merging Minds: Exploring Collective Forms of Intelligence at AA, London Time:13:00 – 14:00 Location:Zoom The advent of Artificial Intelligence (AI) has allowed multiple sources of design and agency to be ‘compressed’ into algorithms that integrate novel or semi-novel products. In this lecture, Enriqueta Llabrés will discuss issues of authorship, responsibility and originality behind new forms of…
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…
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 aid of artificial intelligence. This project is a pioneering example of the use of artificial…
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…
MUDSA Taubman College Breakfast Series with Matias Del Campo and Sandra Manninger
Breakfast Series, Organized by MUDSA, Summer 2020 Acess to the interview On Thursday August 06, MUDSA was in conversation with Matias Del Campo and Sandra Manninger, principals of SPAN Baukunst LLC, at breakfast. With contrasting morning routines, our guests shared a number of interesting things that they’re up to this summer, including “Digital Futures Workshops, Design Competitions and exploring the…
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…
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…
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…
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…