AI Sampling Singapore Ọrụ Bụ Isi: Ihe Owuwu Ụlọ Obibi nke Immanuel Koh

Ihe emepụtara bụ AI Sampling Singapore Ọrụ Bụ Isi: Ihe Owuwu Ụlọ Obibi nke Immanuel Koh bụ onye meriri a na-asọpụrụ nke ukwuu nke 2025 Ihe Nrite A' Design Award nke Igwe na Udi Asọmpi Nhazi Mmeputaime, Algọridim, Paramịtrịk na Enyemaka AI.

IgweMmeputaime· 2025

AI Sampling Singapore Ọrụ Bụ Isi: Ihe Owuwu Ụlọ Obibi

nke Immanuel Koh

Onye Ahịa: Immanuel Koh

Onye Meriri Ihe Nrite A' Design Award nke Igwe na Udi Mmeputaime

60,960

Onye Meriri Onyinye A Kwadoro

Nyochaa Ọnọdụ Onyinye maka #170593

Gaa Saịtị Lee na A' Design Award Akụkọ Mgbasa Ozi Akara Onyinye

Agba

Nhazi a

Maka AI Sampling Singapore Ọrụ Bụ Isi: Ihe Owuwu Ụlọ Obibi

Ederede Akwụkwọ: Singapore bụ obodo emepụtara emepụta. E ji nnukwu mkpokọta data nke ihe atụ dijitalụ 3D nke ụlọ ndị dị elu a hụrụ na Singapore zụọ ụdị AI emere n'aka maka ya, nke na-emepụta ọ bụghị naanị nhazi ndị kwekọrọ na nke nwere nkọwa kwekọrọ, kama ọ na-amalitekwa ịchepụta ụdị owuwu ụlọ ọhụrụ na ndị na-emenye ihere, na-etinye na ịgbatị n'etiti ụdị ụlọ obibi dị elu nkịtị dị ka block slab, point na cluster.

Nkwanye Ugwu

Maka Ihe Nrite A' Design Award nke Igwe

AI Sampling Singapore Ọrụ Bụ Isi: Ihe Owuwu Ụlọ Obibi meriri A' Design Award nke Igwe, nnabata dị ugwu e nyere design ndị dị mma nke na-emezu ihe ndị a chọrọ n'ọrụ na ụlọ ọrụ nke a na-atụ anya n'ihe e kere eke ndị e mere nke ọma. Ndị meriri na Igwe na-egosi nka buru ibu, ọkachamara dị elu, nghọta ọkachamara na ikike imepụta nke ndị kere ha. A na-atụ anya na AI Sampling Singapore Ọrụ Bụ Isi: Ihe Owuwu Ụlọ Obibi ga-abụ ihe e kere eke a na-asọpụrụ nke ukwuu, a na-eto na a hụrụ n'anya nke bụ ihe bara uru ma dị ọhụrụ. Design a meriri A' Design Award nke Igwe na-ejikọta ụzọ kacha mma nke ụlọ ọrụ ma nwee àgwà teknụzụ kwesịrị ekwesị jikọtara na ihe ọmụma na talent. A na-asọpụrụ AI Sampling Singapore Ọrụ Bụ Isi: Ihe Owuwu Ụlọ Obibi maka nlezianya ya ma e mere ya ka ọ nye mmeziwanye ndụ nke na-enyere aka ime ka ụwa bụrụ ebe ka mma.

N'azụ Nhazi a

Ngwugwu Mgbasa Ozi

Nkwurịta okwu, ndị otu na nkọwa teknụzụ nke onye nhazi nyere.

Àgwà Pụrụ Iche: 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.
Nha & Mkpuchi: 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.
Mkpado: AI
Teknụzụ Mmepụta: 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.
Ịma Aka Imepụta: 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.
Nchọpụta: 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.
Mkpali: 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.
Oge Ọrụ: 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.
Usoro Ọrụ: This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
Patentị: Currently no patent.
Ndị Otu: Artificial-Architecture
Asụsụ Foto: All credits: Artificial-Architecture