Panoramic Vision: Computational Streetscape Analysis
“Can we understand urban environments and street characteristics from Google Street View panorama images using Machine Learning and Stable Diffusion techniques?” Project OverviewThis computational design project aims to develop a pipeline utilizing Grasshopper and Python to visualize clusters of panoramic streetscape images. The project leverages t-Distributed Stochastic Neighbor Embedding (t-SNE) for dimensionality reduction, facilitating the … Read more
Predicting Biking Station Vacancy in Barcelona
Introduction Urban transportation planning relies on data science to explain the conditions driving mobility patterns. This exploration of bicing, Barcelona’s resident bike rental program, analyzes the actors impacting discrepancies in bicing data to select machine-learning strategies able to predict biking station vacancies across Barcelona for the year 2024 with an accuracy of 0.02387. With this … Read more
Peacock Immersive Experience
Concept Most of Virtual Experiences are designed and model for humans and by humans. In this scenario believe the overall concept is that the game platform is seen from the perspective of an animal. References Aim “Our goal is to offer humans a unique experience through the eyes of a peacock. This game platform immerses … Read more
Machine Learning to predict no. of seating spaces
Aim: To predict the number of seating spaces based on various types of seating layout, number of corridors and dimensions of generative enclosed rectangular spaces such as an auditorium. Objectives: Dataset Design: To create Dataset for the required problem, a synthetic dataset is designed with the help of various bylaws supporting the problem. Data Analysis: … Read more
Timber outlook
The project’s objective was to create a machine-learning model capable of classifying repurposed timber components within an assembly process as either structural or non-structural, using factors such as defect quantity, age, and exposure to weather conditions as input. Dataset Generation and Analysis The dataset was produced using Roboflow by utilizing scans of the timber elements … Read more
Predicting Ceramic Underglaze Colors
Our aim is to develop a machine learning model that accurately predicts the color outcome of ceramic underglazes based on their ingredient compositions and firing conditions. In the world of ceramic art, the process of underglazing involves applying colors to pottery which are then sealed under a transparent glaze before firing. However, predicting the final … Read more
From following instructions to autonomy
The project started with an experiment to see if an agent could follow a line and illuminate its path to see obstacles. The light is composed of isovits and only the ones in front of the agent are colored. The experiment went then to make the light 3D to illuminate buildings facades. Many approaches were … Read more
Automated Construction Through the Integration of BIM and Digital Twins
Digital twins or “digital replica” refer to a highly detailed virtual model of a physical building or infrastructure project, and through real-time monitoring the delivery of continuously updated data about systems and construction processes can be recorded within BIM. In a “House of Digital Twin”, the foundation of the house is Building Information Modeling (BIM), … Read more
Urbanization and gene pools: A simulation study
The persistent expansion of urbanization poses a significant threat to wildlife populations. One under-explored facet of this impact concerns the genetic health of these populations. Genetic diversity, measured by the variation within a gene pool, is crucial for resilience and adaptation. This project utilizes Grashopper-led simulations to explore the dynamics between habitat fragmentation, animal movement, … Read more
HAVEN AI
A global survey was attempted – by the United Nations – an estimated 100 million people were homeless worldwide. As many as 1.6 billion people lacked adequate housing (Habitat, 2015). In 2021, the World Economic Forum reported that 150 million people were homeless worldwide. SOURCE Homelessness by Country 2024 (worldpopulationreview.com) “How can we address the … Read more
SUPRACOLLECTIVES
THE PINNACLE BUILDING FORM The Pinnacle@Duxton is a 50-storey residential development in Singapore ‘s city center, it defines super-density housing with 1,848 apartment units built on a plot of only 2.5 hectares (6 acres)The project addresses pragmatic, financial, social issues, and respond sensitively to a myriad of planning constraints. It boldly demonstrates a sustainable and … Read more
Manifesto for a New Era in Construction: Embracing AI
“In the dawn of this new era, the construction industry stands at the threshold of transformation, poised to redefine its legacy through the power of Artificial Intelligence (AI) and comprehensive data analytics.”* This manifesto aims to put forward the benefits of AI and how it can help the The construction business be improved by collecting … Read more
