AI Sampling Singapore Primary Function: Wunnarchitektur vum Immanuel Koh

D'Wierk AI Sampling Singapore Primary Function: Wunnarchitektur vum Designer Immanuel Koh ass en héich geschätzten Gewënner vum prestigiéisen 2025 A' Design Award an Eisen an der Wettbewerbskategorie Generativt, Algorithmesch, Parametrescht a KI-ënnerstëtzt Design.

EisenGenerativ· 2025

AI Sampling Singapore Primary Function: Wunnarchitektur

vum Immanuel Koh

Client: Immanuel Koh

A' Design Award an Eisen Gewënner an der Kategorie Generativ

60,960

Verifizéierte Präisgewënner

Präisstatus fir #170593 verifizéieren

Säit besichen Kuckt beim A' Design Award Pressemëtteelung Award Badge

Faarwen

Den Design

Iwwer AI Sampling Singapore Primary Function: Wunnarchitektur

Book Text: Singapur ass eng kënschtlech Stad. Trainéiert mat engem grousse Datesaz vun 3D-digitale Modeller vun Héichhaiser, déi zu Singapur fonnt ginn, generéiert dat speziell entworf KI-Modell net nëmme formell plausibel a semantesch kohärent Konfiguratiounen, mä fänkt och un, nei an onheemlech architektonesch Formen ze imaginéieren, andeems et tëschent Standard-Héichhauswunntypologien wéi de Plack-, Punkt- a Clusterbléck interpoléiert an extrapoléiert.

D'Unerkennung

Iwwer den A' Design Award an Eisen

AI Sampling Singapore Primary Function: Wunnarchitektur ass e Gewënner vum A' Design Award an Eisen, enger prestigiéiser Unerkennung, déi un gutt Designe vergi gëtt, déi déi professionell an industriell Ufuerderunge erfëllen, déi vu gutt gestaltene Kreatioune erwaart ginn. Eisen-Gewënner weisen déi grouss Fäegkeet, déi héich Spezialiséierung, dat Expertewëssen an d'kreativ Kapazitéit vun hire Schëpfer. Et gëtt erwaart, datt AI Sampling Singapore Primary Function: Wunnarchitektur eng héich geschätzt, bewonnert a beléifte Kreatioun ass, déi praktesch an innovativ ass. Dëst mam Eisen ausgezeechent Design integréiert déi beschte Praktike vun der Industrie a huet kompetent technesch Eegeschaften, déi mat Know-how an Talent verbonne sinn. AI Sampling Singapore Primary Function: Wunnarchitektur gëtt fir seng Grëndlechkeet respektéiert a ass gestalt, d'Liewensqualitéit ze verbesseren an ze hëllefen, d'Welt zu enger besserer Plaz ze maachen.

Hannert dem Design

Press Kit

Credits, Teammemberen an technesch Detailer vum Designer zur Verfügung gestallt.

Eenzegaarteg Eegeschaften: Is it possible to sample at scale and at high-resolution every single building ever built in a country? If so, can such a dataset be used to train an AI model in generating new yet locally compliant buildings without any explicit regulatory control inputs? The project explores the design agency of deep generative neural networks in learning three-dimensional exteriority and interiority with a redesigned 3D generative adversarial network (3D-GAN) AI model. Winner of WAFX2024, IDA2024 and BLT2024.
Dimensiounen & Verpackung: This is a digital AI x Architecture project. Each generated output is a new high-rise high-density residential public housing of up to 30 floors.
Tags: AI
Produktiounstechnologie: A custom generative AI model was trained from scratch using proprietary code base and dataset. Specifically, a 3D generative adversarial network (3D-GAN) AI model was trained to learn semantic and spatial configuration of high-rise high-density residential public housing in Singapore.
Design Erausfuerderung: The non-existence of 3D models and their corresponding floor plans was the first challenge. New workflow and tools had to be developed to not only collect (i.e., digitally and physically), but create (annotate) and curate (i.e., exploratory data analysis) such high quality dataset to train an AI model from scratch. Technically difficult due to the scalability of similar CAD representation which was overcome via a novel AI latent representation of 3D.
Fuerschung: A custom generative AI model was trained from scratch using proprietary code base and dataset. Specifically, a 3D generative adversarial network (3D-GAN) AI model was trained to learn semantic and spatial configuration of high-rise high-density residential public housing in Singapore.
Inspiratioun: Singapore is an artificial city! Trained with a large dataset of 3D digital models of high-rise buildings found in Singapore, the custom-designed AI model generates not only formally plausible and semantically coherent configurations, but begins to also imagine novel and uncanny architectural forms, interpolating and extrapolating among standard high-rise housing typologies such as the slab, point, and cluster blocks. Project exhibited at Venice Architecture Biennale and Singapore's Arts House.
Projetdauer: This is an on-going and longer-term AI x Architecture research being conducted at the university design lab since 2021. It was however only published much later as an official architectural design award entry from 2024 onwards.
Operatiounsablaf: This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
Patenten: Currently no patent.
Teammemberen: Artificial-Architecture
Bildnoweis: All credits: Artificial-Architecture