Part of Reparametrize Studio’s ongoing research on “Re-Coding Post War –Syria”, “House Re-Coding” is a new generation of housing solutions adaptable to the post-war cities. Focusing on innovation, collecting comprehensive infrastructural and socioeconomic analytics data through Artificial intelligence, the project seeks to envision the future of post-war cities, as a Smart urban development where all different actors come together, using the existing, and still useful, urban fabric.
Like most functions in recent months, this year’s Digital FUTURES, which is held annually since 2011 at Tongji University in Shanghai, had to move online due to the pandemic. The organizers took this as an opportunity to give the event a global dimension, turning the festival into what they rightfully call the most significant worldwide event for architectural education ever staged, with a 24/7 display of workshops, lectures and panel discussions involving some of the most prominent architects and educators. Here is an overview of the festival, together with a selection of lectures from Digital FUTURES World.
As Artificial Intelligence has become one of the most significant forces driving innovation and economic development, this societal transformation requires new knowledge and an additional set of skills. Just as knowing a BIM software has become a prerequisite for most architecture jobs, understanding or even knowing how to use AI-related tools would become a desirable asset, if not a requirement in the future. However, with a vast array of information available, how does one begin to venture into this topic? The following is a compilation of online resources, lectures, and courses, that could provide a better understanding of the field and how to incorporate it into the practice of architecture.
White Arkitekter, in collaboration with Silicon Valley-based ReGen Villages, have joined forces to create fully circular, self-sufficient and resilient communities in Sweden. Inspired by computer games, the project puts in place organic food production, locally produced and stored energy, comprehensive recycling, and climate positive buildings.
In this article, we tap into how AI could be augmenting, changing design processes, and how architects and other professionals are responding and incorporating these technological advancements into their design work. What kind of innovation can AI bring to this industry, and what has been experimented with so far? This selection of projects can help form an opinion on the architectural application of AI.
The AI & Architecture at the Pavillon de l'Arsenal in Paris, France was scheduled to be open for the past couple of months, showcasing work by Stanislas Chaillou on generative design and machine learning. However, due to the global pandemic, people were able to virtually explore the ideas through a series of interviews and a virtual tours. The work explored current scales of experimentation: plans, elevations, structures and perspectives in which AI could already make a contribution, whether real or speculative.
Will architects be one of the professionals who will be replaced by AI in the near future? New York-based artist Sebastián Errázuriz recently opened the debate in one of his latest Instagram videos.
Errázuriz, also known for his critique/proposal of the reconstruction of the Notre-Dame church, says that it is very likely that the future of the profession as we know it might disappear. Thanks to technological advancements, only a small elite of architects who maintain architecture as an artistic practice might be the ones who will continue to practice the discipline as we know it.
Cities across the globe are undergoing makeovers - swapping out old, antiquated technology for new, sleek alternatives. The development and implementation of computer vision and real-time analytics are ushering in the newest wave of smart cities. The combination of cloud-based dashboards and machine learning are providing actionable data to be collected and understood regarding everything from vehicle concentration to pedestrian activity. As cities continue to push forward and develop socially and technologically, there is no doubt we will continue to see cities incorporate tools like Artificial Intelligence (AI) to facilitate such changes. Despite the fact that eye-popping technologies like drones and robots are at the forefront of this technological revolution, there are also a number of unexpected ways cities are becoming smarter.
Designer and Fulbright fellow Stanislas Chaillou has created a project at Harvard utilizing machine learning to explore the future of generative design, bias and architectural style. While studying AI and its potential integration into architectural practice, Chaillou built an entire generation methodology using Generative Adversarial Neural Networks (GANs). Chaillou's project investigates the future of AI through architectural style learning, and his work illustrates the profound impact of style on the composition of floor plans.
Is Artificial Intelligence (AI) the doom of the architecture profession and design services (as some warn) or a way to improve the overall design quality of the built environment, expanding and extending design services in ways yet to be explored? I sat down with my University of Hartford colleague Imdat As. Dr. As is an architect with an expertise in digital design who is an assistant professor of architecture and the co-founder of Arcbazar.com, a crowd-sourced design site. His current research on AI and its impact on architectural design and practice is funded by the US Department of Defense. Recently we sat down and talked about how this emerging technology might change design and practice as we now know it—and if so, would that be such a bad thing?
This article was originally published as "Doom or Bloom: What Will Artificial Intelligence Mean for Architecture?" on CommonEdge. It has been slightly abridged for publication on this platform; the full interview can be read on CommonEdge here.
Programmer Joel Simon has created an experimental research project, Evolving Floor Plans, to explore speculative and optimized plan layouts using generative design. Interested in the intersection of computer science, biology and design, Joel organized rooms and expected flow of people through a genetic algorithm to minimize walking time, the use of hallways, etc.
The creative goal is to approach floor plan design solely from the perspective of optimization and without regard for convention or constructability. The research aims to see how a combination of explicit, implicit and emergent methods allow floor plans of high complexity to evolve.
Amazon’s innovative, checkout-free convenience store concept, Amazon Go, has opened to the public in Seattle.
Located in the base of an existing Amazon office building, the 1,800-square-foot (167-square-meter) store offers grocery and convenience items. To begin shopping, customers simply scan an Amazon Go smartphone app and pass through a turnstile.
Using machine learning, computer vision and artificial intelligence technologies (incorporated into the software powering cameras and weight sensors), the store can then track the actions of customers as they remove items from the shelves, creating a virtual shopping list as they go. When a customer is finished shopping, they simply exit the store through the turnstiles and the user’s Amazon account is automatically charged.
Driver Less Vision, an installation at the 2017 Seoul Biennale of Architecture and Urbanism by Guillermo Fernandez-Abascal, Urtzi Grau and Daniel Perlin, is an immersive 3D video experience comprised of spatial scans of Seoul, projected into a dome and paired with surround sound. The supporting audio is the internal monologue of a personified autonomous vehicle, driving through the streets of a future Seoul, Korea. The installation transports vierers to the front seat of the autonomous vehicle, providing a new perspective of traversing cities—through the car’s point of view.
Benjamin Bratton, Professor of Visual Arts and Director of the Center for Design at the University of California, San Diego, is the new Programme Director at Moscow's Strelka Institute. The New Normal is based on the premise that "something has shifted. [...] We are making new worlds faster than we can keep track of them, and the pace is unlikely to slow."
Have our technologies have advanced beyond our ability to conceptualize their implications? "One impulse," the course advocates, "is to pull the emergency brake and to try put all the genies back in the bottle." According to Bratton, this is hopeless. "Better instead to invest in emergence, in contingency: to map The New Normal for what it is, and to shape it toward what it should be."
The following essay by Carla Leitão and Ed Keller was first published by Volume Magazine in their 49th issue, Hello World! You can read the Editorial of this issue, Going Live, here.
What are the philosophical consequences of automation after the integration of pervasive AI into the architecture, landscapes and cognitive maps of our planet and its populations? We suggest that "natural models" of automation pre-exist our technology, with profound implications for human and planetary systems. We’re interested in specific examples and models outside of our cultural milieu that test the limits of bodies, that map habits and their disruption through noise, and reframe the relation between life and consciousness. The following examples index the performance of networks in tight cycles of feedback loops: machines teaching machines. To go to the root of the philosophical consequences of automation our path is through abstract and universalist models of ‘natural laws’, redeployed into specific local situations. We use the term ‘drive’ for its myriad implications connecting across the examples we have chosen.
The following essay by Nick Axel (Volume's Managing Editor) first published by the magazine in their 49th issue, Hello World!
With the rise of computational networks and power, cognitive models developed and debated over in the postwar decades have finally been able to be put to work. Back then, there was a philosophical debate raging alongside the burgeoning field of computer science theory on the nature of consciousness, in which machines of artificial intelligence served as a thought experiment to question humanity. Yet with the proliferation of data and the centralization of its archives, theoretical practice moved from conceptual experiments to empirical tests.
