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.
Hypothesis The goal of this research was to investigate if open spatial data could predict Yelp ratings utilizing graph machine learning (GML) methods. We hypothesize that urban phenomena, events, and objects will indicate customer reviews and popularity, and therefore, could be used predict ratings. In particular, we perform edge classification using the DGL library. For … Read more
Abstract The project explores the implementation of machine learning models to generate LEGO building instructions manuals and providing a detailed description of the set. We employee diffusion models along with LLM (Large Language Model) to generate both the images of the Lego set and its description. LoRA (Low-Rank Adaptation) we train a stable diffusion model … Read more
A conversation in which Jane Jacobs and Rem Koolhaas try to get LeCorbusier to think differently about the city… or the opposite! The Challenge We used Conversable Agents and Retrieval-Augmented Generation (RAG) to simulate a discussion between three influential architects: Jane Jacobs, Rem Koolhaas, and Le Corbusier. These theorists have shaped our understanding of the … Read more
https://github.com/ronmaccms/llm-chatbot.git Can AI Help Us Regulate Itself? AI is rapidly transforming the world. One critical question is whether AI can help regulate itself. By training a LLM on a comprehensive set of research papers, we can explore AI’s potential to provide insights into its own governance and ethical use. The research investigates how national policies … Read more
Artificial Inspiration – Dissecting the Creative Process Creativity is often viewed as a uniquely human trait, emerging from the processes of study, interpretation, replication, and mixing variables to create new combinations and results. This project explores whether it is possible to develop a framework based on these principles that AI can reproduce and whether this … Read more
To predict whether a location in Barcelona is a key tourist site or not using graph data and specific contextual features, including the impact of the PEUAT plan on regulating tourist accommodations. The features explored and the URL selected on the Barcelona open data are score or indicator related to the tourism plan PEUAT, Proportion … Read more
In our increasingly interconnected world, the relationship between humans and AI has often been characterized by a master-slave dynamic. This imbalance raises significant ethical and social implications, necessitating a shift towards mutual respect and collaboration. Our vision reimagines societal structures as rhizomatic connections: non-hierarchical, interconnected, and decentralized. We envision a coalition of all intelligences—biological, artificial, … Read more
Introduction In 1950, Alan Turing posed a fundamental question, “Can machines think?”. Our exploration aims to extend this quest by considering additional questions: can machines develop the higher-order thinking described, as described in Bloom’s taxonomy? Can they create, dream, or imagine? To understand imagination and machine creation, we first examine perception, i.e., the processes of … Read more
This post describes the development of a method to predict metro station locations using Graph Neural Networks (GNNs). Our journey began with a challenge familiar to urban planners: how to strategically place new metro stations to optimize transportation networks. In this case the city of Stockholm was used as testbed. The Challenge of Data Imbalance: … Read more
Beginnings Our project’s concept is to develop a classification model that identifies street intersections (graph nodes) in Stockholm, Sweden, susceptible to flooding during a 100-year flood event. Based on our initial research, we found that graph machine learning operates at three levels: the graph, its edges, and its nodes. With access to a 100-year flood … Read more
Setting the Scene In today’s digital landscape, our interactions are increasingly mediated by technology itself rather than as a medium for human communication. This shift creates an illusion of connectivity while fostering isolation, often trapping us in algorithm-driven echo chambers that reinforce our beliefs. Artificial intelligence now guides our lives, listening, learning, and providing information … Read more
AI in the Anthropocene The architectural profession is currently at a critical juncture, faced with the dual challenges of advancing artificial intelligence (AI) and the escalating climate crisis. Many architects harbour fears of obsolescence as AI’s capabilities expand, potentially automating tasks that traditionally require human expertise. This concern is not unfounded, as AI-driven tools increasingly … Read more
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
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
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
“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
