ARCHITECTURAL DESIGN最新文献

AI and its operations might be perceived as series of fields of almost infinite latencies – of possibilities and potential times of dataset flowerings or bloomings – that are programmable but still surprising. Assistant Professor of Architecture at Texas A&M University Benjamin Ennemoser and Innsbruck University- based architect and researcher Ingrid Mayrhofer-Hufnagl explain this concept, its implications for architectural creativity and our newfound ability to operate in an interstitial, fluid space between matter and bits and bytes.

Delving into the realm of how machine learning is being used to make art, Matias del Campo interviews Munich-based artist Mario Klingemann, who shares with us his modus operandi and aspirations for this new discipline. His work is at once uncanny, defamiliarising and estranging, and not without a hint of bodily violence – a kind of reverse butchery, an assault on the figure by the machine.

Architectural discourse has often been described as predicated on the lone architect genius backed by a studio of supplicant architectural assistants. In recent years there has been a swing to the idea of crediting the numerous creative collaborations in the development of the arts – buildings or not. Guest-editor of this 2 Matias del Campo uses AI to further question the independent, original-thinking concept of authorship before reaching the ultimate conclusion.

One of AI's core abilities is the conjuring up of images that seem familiar to us, based on our individual visual and architectural preoccupations. This splicing of the known with the unknown can create a sense of déjà vu that is both centred and defamiliarised. Italian artist, architect and researcher in visionary architecture Cesare Battelli takes us through some of the characters of the past who have utilised such creative tactics.

What might a conversation between a highly trained generator that calculates the probability of the next word in a sentence, and the jumbled mess of organic neurons inside the head of a human architect look like? Through such a fictitious dialogue, architectural designer and educator Ryan Vincent Manning explores issues of human inquisitiveness, uniqueness and agency, human- machine interfaces, machine intelligence, AI latent spaces and the assimilation of design originality into free-access, ubiquitous machine code that is adding to huge potential datasets.

After musing on the history and varying media of the concept of ‘gone viral’, Associate Professor of Architecture at the University of California, Berkeley, Kyle Steinfeld further investigates computational design through the lens of cultural practices. Even the seemingly most contemporary and innovative technological ideas and gizmos can be traced back to a series of legacy notions that remain silently present in new advances. The article discusses such ‘hinge’ moments and searches for them in AI.

Instead of AI systems being foisted on workplaces and workers from the top down via a one-size-fits all approach, Sarah Fox, director of Carnegie Mellon University's Tech Solidarity Lab, investigates how more participative practices might enable staff to develop equitable workload procedures in conjunction with machine learning systems. How can businesses transform to incorporate AI without the nuances of mass redundancies and human supplication to such processes?