AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi by Immanuel Koh

AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 A' Design Award Temir Mukofoti in Generativ, Algoritmik, Parametrik va Sun'iy Intellekt Yordamida Dizayn Competition Category.

TemirGenerativ· 2025

AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi

by Immanuel Koh

Client: Immanuel Koh

A' Design Award Temir Mukofoti Winner in Generativ Category

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The Design

About AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi

Singapur sun'iy shahardir. Singapurda joylashgan baland qavatli binolarning 3D raqamli modellaridan tashkil topgan katta ma'lumotlar to'plami bilan o'qitilgan maxsus ishlab chiqilgan sun'iy intellekt modeli nafaqat shaklan ishonarli va semantik jihatdan izchil konfiguratsiyalarni yaratadi, balki yangi va g'ayrioddiy arxitektura shakllarini ham tasavvur qila boshlaydi, plita, nuqta va klaster bloklari kabi standart baland qavatli turar-joy tipologiyalari o'rtasida interpolyatsiya va ekstrapolyatsiya qiladi.

The Recognition

About the A' Design Award Temir Mukofoti

AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi A' Design Award Temir Mukofotining g‘olibi bo‘lib, bu yaxshi loyihalangan ijodlardan kutiladigan kasbiy va sanoat talablariga javob beradigan yaxshi dizaynlarga beriladigan nufuzli e’tirofdir. Temir g‘oliblari o‘z yaratuvchilarining katta mahorati, yuksak ixtisosligi, mutaxassis tushunchasi va ijodiy salohiyatini namoyon etadi. AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi yuqori qadrlanadigan, hayrat bilan qaraladigan va suyukli, amaliy hamda innovatsion ijod bo‘lishi kutiladi. A' Design Award Temir Mukofotini qo‘lga kiritgan ushbu dizayn soha eng yaxshi amaliyotlarini uyg‘unlashtiradi va bilim hamda iste’dod bilan bog‘langan layoqatli texnik xususiyatlarga ega. AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi puxtaligi uchun hurmatga sazovor bo‘lib, dunyoni yaxshiroq joyga aylantirishga yordam beradigan hayot sifatini yaxshilashni taqdim etish uchun loyihalangan.

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