Immanuel Koh tomonidan AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi

Immanuel Koh tomonidan yaratilgan AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi — Generativ, Algoritmik, Parametrik va Sun'iy Intellekt Yordamida Dizayn tanlov toifasida nufuzli 2025 A' Design Award Temir Mukofoti mukofotining yuqori baholangan g'olibidir.

TemirGenerativ· 2025

AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi

muallif: Immanuel Koh

Mijoz: Immanuel Koh

Generativ toifasida A' Design Award Temir Mukofoti g'olibi

60,960

Tasdiqlangan mukofot g'olibi

#170593 uchun mukofot holatini tasdiqlash

Saytga tashrif A' Design Award saytida ko'rish Press-reliz Mukofot nishoni

Ranglar

Dizayn

AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi haqida

Singapur sun'iy shahardir. Singapurda joylashgan baland qavatli binolarning 3D raqamli modellaridan tashkil topgan katta ma'lumotlar to'plami bilan o'qitilgan maxsus ishlab chiqilgan sun'iy intellekt modeli nafaqat shaklan ishonarli va semantik jihatdan izchil konfiguratsiyalarni yaratadi, balki yangi va g'ayrioddiy arxitektura shakllarini ham tasavvur qila boshlaydi, plita, nuqta va klaster bloklari kabi standart baland qavatli turar-joy tipologiyalari o'rtasida interpolyatsiya va ekstrapolyatsiya qiladi.

Tan olinish

A' Design Award Temir Mukofoti haqida

AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi A' Design Award Temir Mukofotining g‘olibi bo‘lib, bu yaxshi loyihalangan ijodlardan kutiladigan kasbiy va sanoat talablariga javob beradigan yaxshi dizaynlarga beriladigan nufuzli e’tirofdir. Temir g‘oliblari o‘z yaratuvchilarining katta mahorati, yuksak ixtisosligi, mutaxassis tushunchasi va ijodiy salohiyatini namoyon etadi. AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi yuqori qadrlanadigan, hayrat bilan qaraladigan va suyukli, amaliy hamda innovatsion ijod bo‘lishi kutiladi. A' Design Award Temir Mukofotini qo‘lga kiritgan ushbu dizayn soha eng yaxshi amaliyotlarini uyg‘unlashtiradi va bilim hamda iste’dod bilan bog‘langan layoqatli texnik xususiyatlarga ega. AI Sampling Singapore Asosiy vazifa: Turar-joy arxitekturasi puxtaligi uchun hurmatga sazovor bo‘lib, dunyoni yaxshiroq joyga aylantirishga yordam beradigan hayot sifatini yaxshilashni taqdim etish uchun loyihalangan.

Dizayn ortida

Press-kit

Dizayner tomonidan taqdim etilgan kreditlar, jamoa a'zolari va texnik tafsilotlar.

Noyob xususiyatlar: 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.
O'lchamlar va qadoqlash: 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.
Teglar: AI
Ishlab chiqarish texnologiyasi: 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.
Dizayn muammosi: 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.
Tadqiqot: 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.
Ilhom: 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.
Loyiha muddati: 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.
Ish jarayoni: This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
Patentlar: Currently no patent.
Jamoa a'zolari: Artificial-Architecture
Rasm mualliflari: All credits: Artificial-Architecture