AI Sampling Singapore Hawsha Aasaasiga ah: Naqshadeynta Dhismaha Guryaha oo uu sameeyey Immanuel Koh

Naqshadda AI Sampling Singapore Hawsha Aasaasiga ah: Naqshadeynta Dhismaha Guryaha oo uu sameeyey Immanuel Koh waa mid aad u sharaf badan oo ku guulaysatay tartanka qaybta Naqshadeynta Abuuriska, Algoriidamka, Halbeegga iyo Caawinta AI ee 2025 Abaalmarinta Birta ah ee A' Design Award.

BirAbuuris· 2025

AI Sampling Singapore Hawsha Aasaasiga ah: Naqshadeynta Dhismaha Guryaha

Immanuel Koh uu sameeyay

Macmiilka: Immanuel Koh

Ku Guuleystaha Abaalmarinta Birta ah ee A' Design Award ee Qaybta Abuuris

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Ku Guuleystaha Abaalmarinta La Xaqiijiyey

Xaqiiji Xaaladda Abaalmarinta #170593

Booqo Bogga Ka Eeg A' Design Award War-saxaafadeed Calaamadda Abaalmarinta

Midabada

Naqshadeynta

Wax ku saabsan AI Sampling Singapore Hawsha Aasaasiga ah: Naqshadeynta Dhismaha Guryaha

Singapore waa magaalo macmal ah. Iyada oo lagu tababaray xog-ururin weyn oo ah moodooyin dijital ah oo saddex-cabbir ah oo ah dhismayaal dhaadheer oo laga helo Singapore, moodelka AI-ga ah ee si gaar ah loo naqshadeeyay ma soo saaro oo kaliya qaab-dhismeedyo qaab ahaan macquul ah oo macno ahaan is-waafaqsan, balse wuxuu sidoo kale bilaabaa inuu qiyaaso qaababka qaab-dhismeedka cusub ee yaab leh, isaga oo isku dhex marinaya oo ka faafinaya kala-soocyada caadiga ah ee guryaha dhaadheer sida saxannada, dhibcaha, iyo xubnaha kooxeysan.

Aqoonsiga

Wax ku saabsan Abaalmarinta Birta ah ee A' Design Award

AI Sampling Singapore Hawsha Aasaasiga ah: Naqshadeynta Dhismaha Guryaha waa guuleystaha Abaalmarinta Birta ah ee A' Design Award, aqoonsi sharaf leh oo la siiyo naqshado wanaagsan oo buuxiya shuruudaha xirfadeed iyo kuwa warshadeed ee laga filayo hal-abuurro si wanaagsan loo naqshadeeyay. Guuleystayaasha Birta waxay muujiyaan xirfad weyn, takhasus sare, fahan khabiir iyo awood hal-abuur oo abuurayaashooda. AI Sampling Singapore Hawsha Aasaasiga ah: Naqshadeynta Dhismaha Guryaha waa hal-abuur la filayo inuu noqdo mid aad loo tixgeliyo, la ixtiraamo oo la jecel yahay, wax ku ool ah oo cusub. Naqshadahan ku guuleystay Abaalmarinta Birta ah ee A' Design Award wuxuu isku daraa hab-dhaqannada ugu wanaagsan warshadda wuxuuna leeyahay sifooyin farsamo oo karti leh oo ku xiran aqoon iyo hibo. Dhammaystirkeeda awgeed, AI Sampling Singapore Hawsha Aasaasiga ah: Naqshadeynta Dhismaha Guryaha waa mudan ixtiraam, waxaana loo naqshadeeyay inay keento hagaajin nololeed oo ka caawisa in adduunka laga dhigo meel ka wanaagsan.

Gadaasha Naqshadeynta

Xirmada Warbaahinta

Shahaadooyinka, xubnaha kooxda iyo faahfaahinta farsamada ee uu bixiyay naqshadeeluhu.

Sifooyinka Gaarka ah: 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.
Cabbirka & Qaabaynta: 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.
Summado: AI
Tiknoloojiyada Soo Saarka: 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.
Caqabadda Naqshadda: 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.
Cilmi-baadhis: 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.
Dhiirrigelinta: 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.
Muddada Mashruuca: 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.
Socodka Hawlgalka: This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
Shatiyada: Currently no patent.
Xubnaha Kooxda: Artificial-Architecture
Amaanta Sawirrada: All credits: Artificial-Architecture