AI Sampling Singapore Примарна функција: Станбена архитектура by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 Железна награда A' Design Award in Генеративен, алгоритамски, параметарски и дизајн со помош на ВИ Competition Category.
ЖелезнаГенеративен· 2025
AI Sampling Singapore Примарна функција: Станбена архитектура
by Immanuel Koh
Client: Immanuel Koh
Железна награда A' Design Award Winner in Генеративен Category
Verified Award Winner
Verify Award Status for #170593The Design
About AI Sampling Singapore Примарна функција: Станбена архитектура
Текст на книгата: Сингапур е вештачки град. Обучен со голема база на податоци од 3D дигитални модели на високи згради што се наоѓаат во Сингапур, прилагодено дизајнираниот модел на вештачка интелигенција генерира не само формално веродостојни и семантички кохерентни конфигурации, туку почнува и да замислува нови и необични архитектонски форми, интерполирајќи и екстраполирајќи меѓу стандардните типологии на високи станбени згради како што се плочести, точкести и кластерски блокови.
The Recognition
About the Железна награда A' Design Award
AI Sampling Singapore Примарна функција: Станбена архитектура е добитник на Железната награда A' Design Award, престижно признание што се доделува на добри дизајни што ги исполнуваат професионалните и индустриските барања очекувани од добро дизајнирани творби. Железните добитници ја покажуваат големата вештина, високата специјализација, стручното разбирање и креативниот капацитет на нивните творци. Се очекува AI Sampling Singapore Примарна функција: Станбена архитектура да биде високо ценета, восхитувана и сакана творба што е практична и иновативна. Овој дизајн со Железна награда ги интегрира најдобрите индустриски практики и има компетентни технички карактеристики поврзани со знаење и талент. AI Sampling Singapore Примарна функција: Станбена архитектура е почитуван за својата темелност и е дизајниран да го подобри квалитетот на животот и да помогне светот да стане подобро место.
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
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