AI Sampling Singapore Kazi ya Msingi: Usanifu wa Makazi na Immanuel Koh

Muundo AI Sampling Singapore Kazi ya Msingi: Usanifu wa Makazi na Immanuel Koh ni mshindi mashuhuri wa tuzo ya kifahari ya 2025 Tuzo ya Chuma ya A' Design Award katika Kategoria ya Mashindano ya Usanifu wa Uzalishaji, Algorithimu, Parametriki na Msaada wa AI.

ChumaUsanifu wa Uzalishaji· 2025

AI Sampling Singapore Kazi ya Msingi: Usanifu wa Makazi

na Immanuel Koh

Mteja: Immanuel Koh

Mshindi wa Tuzo ya Chuma ya A' Design Award katika Kategoria ya Usanifu wa Uzalishaji

60,960

Mshindi wa Tuzo Aliyethibitishwa

Thibitisha Hali ya Tuzo kwa #170593

Tembelea Tovuti Tazama kwenye A' Design Award Taarifa kwa Vyombo vya Habari Beji ya Tuzo

Rangi

Muundo

Kuhusu AI Sampling Singapore Kazi ya Msingi: Usanifu wa Makazi

Singapore ni mji wa bandia. Ukiwa umefunzwa kwa seti kubwa ya data ya miundo ya kidijitali ya pande tatu ya majengo marefu yanayopatikana Singapore, modeli ya AI iliyoundwa maalumu haitengenezi tu mipangilio inayowezekana kimuundo na yenye mshikamano wa kimaana, bali pia inaanza kufikiria maumbo mapya na ya ajabu ya usanifu, ikiunganisha na kupanua kati ya aina za kawaida za makazi marefu kama vile vibao, vituo, na vitalu vya makundi.

Utambuzi

Kuhusu Tuzo ya Chuma ya A' Design Award

AI Sampling Singapore Kazi ya Msingi: Usanifu wa Makazi ni mshindi wa Tuzo ya Chuma ya A' Design Award, utambuzi wenye heshima unaotolewa kwa miundo mizuri inayokidhi mahitaji ya kitaalamu na ya kiviwanda yanayotarajiwa kutoka kwa kazi zilizobuniwa vizuri. Washindi wa Chuma huonyesha ustadi mkubwa, utaalamu wa hali ya juu, uelewa wa kitaalamu na uwezo wa kibunifu wa waumbaji wao. AI Sampling Singapore Kazi ya Msingi: Usanifu wa Makazi inatarajiwa kuwa kazi inayothaminiwa sana, kupendwa na kuenziwa, ambayo ni ya vitendo na bunifu. Muundo huu ulioshinda Tuzo ya Chuma ya A' Design Award unajumuisha mbinu bora za tasnia na una sifa za kiufundi zenye uwezo zilizounganishwa na ujuzi na kipaji. AI Sampling Singapore Kazi ya Msingi: Usanifu wa Makazi inaheshimiwa kwa uangalifu wake na imebuniwa kutoa maboresho ya ubora wa maisha yanayosaidia kuufanya ulimwengu kuwa mahali bora zaidi.

Nyuma ya Muundo

Vifaa vya Habari

Mikopo, wanachama wa timu na maelezo ya kiufundi yaliyotolewa na mbuni.

Sifa za Kipekee: 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.
Vipimo na Ufungashaji: 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.
Lebo: AI
Teknolojia ya Uzalishaji: 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.
Changamoto ya Ubunifu: 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.
Utafiti: 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.
Msukumo: 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.
Muda wa Mradi: 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.
Mtiririko wa Uendeshaji: This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
Hataza: Currently no patent.
Wanatimu: Artificial-Architecture
Haki za Picha: All credits: Artificial-Architecture