AI Sampling Singapore بنيادي ڪارڪردگي: رهائشي تعميرات by Immanuel Koh

AI Sampling Singapore بنيادي ڪارڪردگي: رهائشي تعميرات by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 A' Design Award لوهه انعام in جنريٽو، الگورٿمڪ، پيراميٽرڪ ۽ AI-مددگار ڊيزائن Competition Category.

لوههجنريٽو· 2025

AI Sampling Singapore بنيادي ڪارڪردگي: رهائشي تعميرات

by Immanuel Koh

Client: Immanuel Koh

A' Design Award لوهه انعام Winner in جنريٽو Category

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The Design

About AI Sampling Singapore بنيادي ڪارڪردگي: رهائشي تعميرات

ڪتاب جو متن: سنگاپور هڪ مصنوعي شهر آهي. سنگاپور ۾ موجود اونچين عمارتن جي 3D ڊجيٽل ماڊلز جي وڏي ڊيٽا سيٽ سان تربيت يافته، خاص طور تي ٺاهيل AI ماڊل نه رڳو رسمي طور تي قابلِ قبول ۽ معنوي طور تي مربوط ترتيبون پيدا ڪري ٿو، پر اهو نوان ۽ عجيب تعميراتي شڪليون به تصور ڪرڻ شروع ڪري ٿو، معياري اونچين رهائشي قسمن جهڙوڪ سليب، پوائنٽ ۽ ڪلسٽر بلاڪس جي وچ ۾ انٽرپوليشن ۽ ايڪسٽراپوليشن ڪندي.

The Recognition

About the A' Design Award لوهه انعام

AI Sampling Singapore بنيادي ڪارڪردگي: رهائشي تعميرات A' Design Award لوهه انعام جو کٽيندڙ آهي، معزز اعتراف جيڪو انهن سٺين ڊيزائنن کي ڏنو وڃي ٿو جيڪي چڱيءَ طرح ڊزائين ڪيل تخليقن کان متوقع پيشه ورانه ۽ صنعتي گهرجون پوريون ڪن ٿيون. لوهه جا کٽيندڙ پنهنجي خالقن جي وڏي مهارت، اعليٰ ماهري، ماهرانه سمجھ ۽ تخليقي صلاحيت ڏيکارين ٿا. AI Sampling Singapore بنيادي ڪارڪردگي: رهائشي تعميرات کان اميد ڪئي وڃي ٿي ته اهو هڪ تمام گهڻو قدر ڪيل، ساراهيل ۽ پياري تخليق هوندو جيڪو عملي ۽ جدت وارو آهي. هي ڊيزائن جنهن A' Design Award لوهه انعام کٽيو آهي، صنعت جا بهترين طريقا گڏ ڪري ٿو ۽ علم ۽ صلاحيت سان ڳنڍيل قابل ٽيڪنيڪل خاصيتون رکي ٿو. AI Sampling Singapore بنيادي ڪارڪردگي: رهائشي تعميرات جي سنجيدگيءَ ڪري عزت ڪئي وڃي ٿي ۽ اهو زندگيءَ جي معيار ۾ بهتري آڻڻ لاءِ ٺاهيل آهي جيڪا دنيا کي بهتر جڳهه بڻائڻ ۾ مدد ڪري ٿي.

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