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.
An exploratory design process of spaces into atmospheric and phenomenological experiences through lighting design. The primary objectives of this project are to develop a robust generative AI workflow that can seamlessly integrate into the architectural design process, enhancing the atmospheric and phenomenological qualities of spaces through lighting design. This workflow aims to provide users with … 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
Will There Be a Way to Formulate City Theories in 2125? Will It Be Based on Human Knowledge or AI-Generated Knowledge?” (Past) PROPHECIES in the PRESENT “If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them”. … 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
