AI Sampling Singapore لومړنۍ دنده: د استوګنې جوړښت by Immanuel Koh

AI Sampling Singapore لومړنۍ دنده: د استوګنې جوړښت by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 د اوسپنې A' Design Award جایزه in تولیدي، الګوریتمیک، پارامتریک او د مصنوعي ذکاوت په مرسته ډیزاین Competition Category.

اوسپنهتولیدي ډیزاین· 2025

AI Sampling Singapore لومړنۍ دنده: د استوګنې جوړښت

by Immanuel Koh

Client: Immanuel Koh

د اوسپنې A' Design Award جایزه Winner in تولیدي ډیزاین Category

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The Design

About AI Sampling Singapore لومړنۍ دنده: د استوګنې جوړښت

سینګاپور یو مصنوعي ښار دی. د سینګاپور په لوړو ودانیو کې د موندل شویو دریمې اړخیزو ډیجیټل ماډلونو د یوې لویې ډیټاسیټ سره روزل شوی، دا ځانګړی ډیزاین شوی AI ماډل نه یوازې رسماً منلوړ او معنایي پلوه همغږي جوړښتونه تولیدوي، بلکې پیل کوي چې نوي او عجیب معماري بڼې هم تصور کړي، د معیاري لوړ پوړو استوګنې ډولونو لکه سلیب، پواینټ، او کلستر بلاکونو ترمنځ انټرپولیشن او ایکسټراپولیشن کوي.

The Recognition

About the د اوسپنې A' Design Award جایزه

AI Sampling Singapore لومړنۍ دنده: د استوګنې جوړښت د اوسپنې A' Design Award جایزې ګټونکی دی، یوه ویاړلې پېژندنه چې ښو ډیزاینونو ته ورکول کېږي چې هغه مسلکي او صنعتي اړتیاوې پوره کوي چې له ښه ډیزاین شویو جوړښتونو څخه تمه کېږي. د اوسپنې ګټونکي د خپلو جوړوونکو لویه مهارت، لوړه تخصص، کارپوهانه پوهه او خلاقي وړتیا ښيي. له AI Sampling Singapore لومړنۍ دنده: د استوګنې جوړښت څخه تمه کېږي چې یو ډېر ارزښتناک، ستایل شوی او ګران جوړښت وي چې عملي او نوښتګر دی. دا د اوسپنې A' Design Award جایزې ګټونکی ډیزاین د صنعت غوره کړنلارې یو ځای کوي او وړ تخنیکي ځانګړتیاوې لري چې له پوهې او استعداد سره تړلي دي. AI Sampling Singapore لومړنۍ دنده: د استوګنې جوړښت د خپل دقت له امله درناوی کېږي او د ژوند د کیفیت داسې ښه والی وړاندې کولو لپاره ډیزاین شوی چې نړۍ یو ښه ځای ګرځولو کې مرسته کوي.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: 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.
Dimensions & Packaging: 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
Production Technology: 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 Challenge: 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.
Research: 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.
Inspiration: 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.
Project Duration: 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.
Operation Flow: This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
Patents: Currently no patent.
Team Members: Artificial-Architecture
Image Credits: All credits: Artificial-Architecture