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

Wood ID

WoodID is a revolutionary project aiming to transform the utilization and reutilization of wood in the industry. Leveraging artificial intelligence (AI) technology, WoodID targets to enhance the circular model of reutilization by operating within a smaller loop, converting wood into various useful products. The WoodID process commenced with gathering industry insights from Barcelona related to … Read more

Redefining the Urban

Based on the theoretical frameworks of diverse urban theorists, this project explored multiple dynamics between the metropolis, design, and technology within the context of the Anthropocene epoch and the rise of technology. The following lexicon was developed and graphically illustrated with the assistance of Artificial Intelligence, creating images that aim to cause a cognitive effect … Read more

Solving the maze

Mazes have fascinated humans for centuries. Solving them requires decision making based on limited knowledge, and the ability to remember and avoid previous mistakes. The problem of solving a maze from any given position within it, without knowing the location of the exit lends itself well to the iterative logic that is central to this … Read more

Oasis

Integrating Radiation Shielding for a Safe and Sustainable Urban Environment Radiation is a threat in many industries, from space exploration to medical imaging. Effective design must take into account the unique challenges presented by radiation. MASTER IN ADVANCED COMPUTATION FOR ARCHITECTURE & DESIGN  2023/2024 Faculty: ARETI MARKOPOULOU & NIKOL KIROVA STUDENT : Darkhan Kadirov   

IN PURSUIT OF IDENTITY

Looking at these before-after photos the first word that comes to mind is fragility: the fragility of its former identity, the frugality of a particular type of life, the fragility of the built environment. Through demolishing and constructing new buildings we are endowing the place with new meanings and new ways of relating to the … Read more

Scan to BIM: ML tools for MEP component recognition

scantobim

Source: www.kubit-software.com Topic brief The research is investigating the potential benefits of integrating state-of-the-art machine learning (ML) tools in Scan-to-BIM for mechanical, electrical and plumbing parts (MEP) recognition. Recent advancements in ML can enhance construction phase and post-construction maintenance. The use of these tools can be critical to create accurate as-built models to automate the … Read more

The Role of AI in Connecting Architecture Data

3 Pocast Episodes with Immanuel Koh, Håvard Vasshaug, and Angelos Chonics Architects often face challenges when dealing with diverse data formats and the manual recreation of forms in Building Information Modeling (BIM) software. These obstacles can result in time-consuming processes, errors, and discrepancies between design intentions and construction execution. AI tools such as LunchboxML, PlanFinder, … Read more

AI Powered BIM Workflows

Abstract Artificial Intelligence is revolutionizing global industries, with the AEC sector being no exception. This study embarks on a comprehensive examination of AI’s role within Building Information Modeling (BIM) workflows, exploring its implications and envisioning the industry’s future post-AI integration. Initial Research Among the available AI aided BIM tools, we looked at the commonly used … Read more

‘Black Holes and Revelations’

Black Holes | Black holes accumulate mass with such force that light cannot escape. The invisible hand drove technological innovation resulting in economies of scale to production. This allowed for flexibility in the accumulation of capital and its products, compressing relative time and space, giving way to increasingly accessible and ephemeral consumption of goods, services, … Read more

BIM as a part of smart data management in urban scale

“Building Information Modeling (BIM) in urban scale data management refers to the strategic integration of digital modeling techniques, for the thorough organization and oversight of urban infrastructure and services. This process entails crafting 3D models that encompass sets of data layers—including architectural, infrastructural, and environmental aspects—to streamline city planning, design, and operation.” The use of … Read more

From Data to the Physical: Prototyping Architecture in the Digital Age

PROBLEM STATEMENT The predominant usage of digital processes in the current practice of architecture. However, with the many positives there are known inherent and latent constraints (e.g., data encryption, cloud breaches, and copyright issues) and other possible complexities and challenges. THESIS STATEMENT To inquire the understanding of the adoption of digital processes in the practice … Read more

Machine Learning in Architectural Practice and BIM

We’ve witnessed a fascinating shift from conventional to computational approaches, responsive designs, and the era of automation. Machine Learning, a term buzzing everywhere these days, has made its mark in our industry as well. In architecture, ML, a subset of artificial intelligence, utilizes data to tackle challenges in computer-aided design by simulating various design alternatives … Read more

Better Data Frameworks: What Pixar Can Teach the AEC Industry

Challenge The available Building Information Modeling (BIM) applications in the AEC industry help create geometry and add meta-data. However, the files generated by this software are neither readable nor editable by any other application. Additionally, the metadata added to geometry lives as disconnected copies in several models. These issues lock AEC companies to particular software … Read more