AI Sampling Singapore Calli Tlachiualiztli ītēchcopa Immanuel Koh

Tlanāhuatīlli AI Sampling Singapore Calli Tlachiualiztli ītēchcopa Immanuel Koh cē cencā mahuizzō tēmacēhualōni īpan huēyi 2025 Mahuizolli A' Design Award Tepoztli īpan Yancuicchihualiztli, Tlapohualiztepoztli, Tlanahuatiltepoztli ihuan Tepoztlalnamiquiliztli-Palehuilli Tlachihchihualiztli Nēhuilīztli Tlamantli.

TepoztliYancuicchihualiztli· 2025

AI Sampling Singapore Calli Tlachiualiztli

īpal Immanuel Koh

Tlanāhuatīlli: Immanuel Koh

Mahuizolli A' Design Award Tepoztli Tēmacēhualōni īpan Yancuicchihualiztli Tlamantli

60,960

Tlaneltīlīlli Tēmacēhualōni

Xictlaneltilia Tēmacēhualli ītēchcopa #170593

Xiquitta Tlahcuilōlcalli Xiquitta A' Design Award ītechcopa Āmatl Tēmachiyōtīliztli Tlamachiōtl

Tlapalli

Tlanēxtilistli

Ītechcopa AI Sampling Singapore Calli Tlachiualiztli

Singapur ce altepetl tlen tlachiualli. Inwan ce hueyi tlamachtiliztli tlamantli tlen 3D ixiptlayotl tlachiualli tlen weyak calli tlen monextia ipan Singapur, in AI tlanawatiltzin tlen mochiuh moyolyemania amo zan tlatlachializtli tlen weli ihuan tlamatiliztli tlen yektli, no peua moyolnonotza yancuic ihuan tetzauh calli tlachiualiztli, motlamati ihuan motlachialia inawac in weyak calli tlatzacualiztli ken in slab, point, ihuan cluster tlatzaccayotl.

Tēixīmachōtiliztli

Ītechcopa Mahuizolli A' Design Award Tepoztli

AI Sampling Singapore Calli Tlachiualiztli ca in quicuic in Mahuizolli A' Design Award Tepoztli, tlamahuizoliztli tlen momaca in cualli dizayno in quitlalia in tlen monequi ipan tequitl ihuan tlachihualiztli in quimaca in cualli tlachihualli. In quicuicah Tepoztli quinextia in hueyi tlamatiliztli, toltecayotl ihuan ihuelitiliztli intlachihuanime. Ca quinequi in AI Sampling Singapore Calli Tlachiualiztli ca tlazohtli, mahuiztic, yancuic ihuan motequiuhtia. Ni dizayno in quicuic Tepoztli quihuelitia in tlamatiliztli ihuan quipia chicahualiztli tlen tepoztli. AI Sampling Singapore Calli Tlachiualiztli quicualtia in nemiliztli ihuan quihuelitia in cemanahuac ica cualli.

Tlanēxtilistli Ītēixpan

Āmatl Tlanextīliztli

Tlapōhualli, tēquitqueh īwan tēchmachilīztli ōquinmaca in tlanēxtīlīlli.

Cē Zan Ītēchcopa: 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.
Huēyiliztli īhuān Tlacualtepēhualli: 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.
Tōcāitl: AI
Tlachīhualiztli Māchiyōtl: 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.
Tlanāhuatīlli Nētēcahuilīztli: 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.
Tlatēmōliztli: 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.
Tēyōllālīliztli: 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.
Tēquitl Cāhuitl: 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.
Tēquitl Ōhuitl: This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
Patentēmeh: Currently no patent.
Calpolli Tlācah: Artificial-Architecture
Īxiptla Tlanēxtīlli: All credits: Artificial-Architecture