AI Sampling Singapore Primary Function: Tsev Nyob Architecture los ntawm Immanuel Koh

Qhov qauv tsim AI Sampling Singapore Primary Function: Tsev Nyob Architecture los ntawm Immanuel Koh yog tus yeej muaj nqis heev ntawm qhov khoom plig 2025 A' Design Award Hlau hauv Pawg Sib Tw Tsim Kev Tsim Tawm, Kev Siv Algorithm, Parametric thiab AI Pab Tsim.

HlauKev Tsim Tawm· 2025

AI Sampling Singapore Primary Function: Tsev Nyob Architecture

los ntawm Immanuel Koh

Tus Neeg Siv: Immanuel Koh

Tus Yeej A' Design Award Hlau hauv Pawg Kev Tsim Tawm

60,960

Tus Yeej Khoom Plig Tau Txheeb Xyuas

Txheeb Xyuas Qhov Xwm Txheej Khoom Plig rau #170593

Mus Saib Lub Vev Xaib Saib ntawm A' Design Award Tsab Xov Xwm Daim Phiaj Khoom Plig

Xim

Qhov Tsim

Txog AI Sampling Singapore Primary Function: Tsev Nyob Architecture

Book Text: Singapore yog ib lub nroog uas tsim los ntawm tib neeg. Tau cob qhia nrog ib pawg ntaub ntawv loj ntawm cov qauv 3D digital ntawm cov tsev siab uas pom hauv Singapore, tus qauv AI uas tsim tshwj xeeb tsis tsuas tsim cov kev teeb tsa uas muaj cwj pwm raug thiab muaj kev sib raug zoo nkaus xwb, tab sis kuj pib xav txog cov qauv architecture tshiab thiab txawv txawv, los ntawm kev interpolating thiab extrapolating ntawm cov qauv tsev nyob siab tus txheej txheem xws li slab, point, thiab cluster blocks.

Qhov Lees Paub

Txog A' Design Award Hlau

AI Sampling Singapore Primary Function: Tsev Nyob Architecture yog tus yeej ntawm A' Design Award Hlau, ib qho kev lees paub muaj meej mom uas muab rau cov qauv tsim zoo uas ua tau raws li cov kev xav tau ntawm kev ua haujlwm thiab kev lag luam uas xav tau los ntawm cov khoom tsim zoo. Cov neeg yeej Hlau qhia txog kev txawj loj, kev paub tshwj xeeb siab, kev nkag siab ntawm cov kws tshaj lij thiab lub peev xwm tsim ntawm cov neeg tsim. AI Sampling Singapore Primary Function: Tsev Nyob Architecture xav tias yuav yog ib qho khoom tsim uas neeg hwm, qhuas thiab hlub uas siv tau thiab tsim tshiab. Cov qauv tsim yeej A' Design Award Hlau no sib xyaw cov kev coj ua zoo tshaj plaws ntawm kev lag luam thiab muaj cov yam ntxwv siv tshuab txawj ntse txuas nrog kev paub thiab txuj ci. AI Sampling Singapore Primary Function: Tsev Nyob Architecture tau txais kev hwm vim nws tag nrho thiab tsim los muab kev txhim kho rau lub neej uas pab ua rau lub ntiaj teb zoo dua.

Tom Qab Qhov Tsim

Pob Xov Xwm

Cov credit, cov neeg pab thiab cov ntsiab lus kev txawj ntse muab los ntawm tus tsim.

Yam Tshwj Xeeb: 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.
Qhov Loj & Ntim: 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.
Cov Ntsiab Lus: AI
Thev Naus Laus Zis Tsim Khoom: 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.
Kev Sib Tw Tsim Qauv: 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.
Kev Tshawb Fawb: 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.
Kev Txhawb Siab: 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.
Lub Sij Hawm Ua Hauj Lwm: 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.
Txheej Txheem Ua Hauj Lwm: This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
Cov Patent: Currently no patent.
Cov Tswv Cuab Pab: Artificial-Architecture
Kev Qhuas Duab: All credits: Artificial-Architecture