The MaCAD is a unique online programme training a new generation of architects, engineers and designers ready to develop skills into the latest softwares, computational tools, BIM technologies and AI towards innovation for the Architecture, Engineering and Construction (AEC) industry.

Filters

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

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

The Future of Generative Design – Enhanced with BIM

The Tools In the world of Architecture, Engineering, and Construction (AEC), designers have access to a plethora of tools, ideologies, and software to make their visions a reality. Within this vast space of options for designers to choose from, there are more specifically, tools that deal with Generative Design and Building Information Modeling (BIM). Software … Read more

Self-organized city – a product of collaboration

Sustainability and collective intelligence Manifesto diagram illustrating the participatory processes of the city inhabitants, created by the group Each section of this manifesto can be perceived independently. Choose the reading order and create your own narrative. The personalized narratives reflect the methodology to address the complexity of collaborative urban design processes at a macro level. … Read more

Democratized design to combat climate catastrophe.

As we move further into the 21st century, our chances of averting climate change have all but disappeared. Analysis shows that global temperatures now sit 1.1? above pre-industrial levels and are set to rise to 1.5? by the early 2030s (Jotzo and Howden, 2023). This rapid increase in temperatures has led to loss of land … Read more

First step towards circular reconstruction. Damage assessment and material mapping of buildings in Ukraine through ground imagery processing.

An apartment building explodes after Russian army tank fire in Mariupol, Ukraine, March 11, 2022. (AP Photo/Evgeniy Maloletka)

Intro Russian full-scale invasion of Ukraine, which started on 24.02.2022, is the biggest war in Europe since WWII. It took the lives of dozens of thousands of Ukrainians a brought massive destruction [1] and ecological catastrophes. Some cities are completely erased. A massive piece of land is still occupied. This war and its consequences are … Read more

Advanced Architectural Guide

Abstract Architecture enthusiasts face a dilemma when planning their travel visits. Either they spend a lot of time and effort researching and planning their routes, or they can rely on mainstream websites and blogs that tend to recommend well-known works, ruling out works with the same architectural interest that have received less media coverage. The … Read more

WEB GRAPH MACHINE LEARNING

Our project website can be accessed at bit.ly/graphml Introduction Our research focused on hosting a machine learning model on the web that accesses Rhino.Compute. It receives an input of a polyline drawn on a Leaflet.js map by a user to indicate the central corridor spine of a building and returns a graph of that building … Read more

FireFly

Harnessing the power of drone-based photogrammetry and artificial intelligence to create a low-cost urban wildfire diagnostic tool. In recent years, the global community has witnessed a significant upsurge in the frequency and intensity of wildfires. Driven by a combination of climate change, urban expansion, and land-use practices, these fires have not only devastated vast natural … Read more

Vastu in Graph Machine Learning

CONCEPT Vastu Shastra is a traditional Indian architectural science that provides a wide range of guidelines for design, layouts and construction of buildings. Vastu Shastra is based on the principles of ancient Indian texts and it aims to create harmonious and balanced living spaces that promote physical, mental and spiritual well being. WORKFLOW DESIGN PROCESS … Read more

Loneliness in Greater Melbourne

There are different types of loneliness and different causes for each type. The social media induced loneliness as described by Sherry Turkle in her book Alone Together: Why We Expect More from Technology and Less from Each Other (2012) is different from the loneliness of feeling alone in a crowd in a very large city … Read more

ANNA, the avatar

Embracing artistic collaboration, Eugenia and Littieri created Anna, an AI Avatar. Images, text, sound, and voice converged, augmented by Melobites’ melodies. Albert Einstein’s voice was revived, while voice mod technology transformed singers’ voices. The harmonious fusion of art and technology captivated audiences. This project showcased the limitless potential of collaboration between human creativity and AI, … Read more

Wildlife Corridors

Our project focuses on modeling and predicting habitat fragmentation avoidance mechanisms using graphs. We investigate wildlife corridors in Australia, leveraging graph-based approaches to create coherent passages and connect forest areas. By analyzing satellite images, road data, and other metrics, we construct and evaluate graph models that incorporate forest containment, node characteristics, and connectivity. Our goal … Read more

Generative Urban Farming

The experiment parts from a self organizing model that iterates based in the incident sun hours, to later be evaluated in 2 methods: DCGAN’s and PIX2PIX. Problem Statement: The objective is to utilize urban farming strategically in central Budapest to enhance the affordability of student life. The key questions revolve around the potential yield, geometric … Read more

Cats & Books

From WFC to Graph ML WFC is an algorithm by Maxim Gumin using tile-based stochastic (random) aggregation. One of the most well known uses of WFC is the game Townscraper by Oskar Stalberg which is an indie town-builder game with 320k downloads. Lectures from Oskar Stalberg as well as YouTube videos form DV Gen are … Read more

All Nighter vs. 3DGAN

What kind of architecture is the most suitable for AI? The architecture of the Superdutch is already reduced to diagrams and blue foam models allowing for brute force prototyping. Ten ideas are created everyday per person on teams of ten people in firms like OMA, JDS, and BIG etc. That’s a hundred ideas per day … Read more

OPTi_SOL

I PROCESS I PROBLEM STATEMENT The model will consider factors such as building orientation, facade modifications, and roof area expansion and tilt, ensuring optimal solar panel placement and alignment to maximize energy generation. By developing this AI generative model, we aim to overcome the limitations posed by Seattle’s climate, accelerate the adoption of solar energy, … Read more

EASE GUIDE

 ‘Navigating Future Convenience’ PROBLEM STATEMENT The dataset contains information about previous trips taken by users, where each trip is represented as a node in the graph. The edges between the nodes represent connections between destinations visited by the same user. Additionally, the dataset includes attributes such as location details, amenities, time of day, activity type, … Read more