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.

Leibniz Reimagined A Journey Through Time and Thought.

Gottfried Wilhelm Leibniz

Bridging 17th Century Philosophy with Today’s AI and Technology. About Gottfried Wilhelm Leibniz was a German polymath active as a mathematician, philosopher, scientist and diplomat who invented calculus in addition to many other branches of mathematics and statistics. Wikipedia Born: July 1, 1646, Leipzig, Germany Died: November 14, 1716 (age 70 years), Hanover, Germany Influenced by: René Descartes, Baruch Spinoza, Aristotle, Plato · See more Influenced: Immanuel Kant, Georg … Read more

Atmosphere and Lighting

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

Machine Perception and Imagination: The Intersection of AI and Creativity

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

A Prophecy for Each Present

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

Metro Station Prediction in Stockholm

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

100-Year Flood Risk Road Intersection Classification

Flood Risk Classification

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

Blind Faith in A.I.

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

Planetary Intelligence Manifesto

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

Latent Studio

Explorer for new architectural dimensions Latent Studio is a groundbreaking web service that redefines initial-stage modeling for large architecture offices. With the use of a Generative Adversarial Network (3DGAN) and a vast database of voxelized architectural massings, the end resultis an infinite typologies catalogue of intermediate shapes and scapes to explore. Along all steps (dataset, … Read more

Skylight Performance

This project studies skylight performance in four given cities: Barcelona, Malina, Melbourne, and Vancouver collectively, by employing of Data-Encoding machine learning methods. ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- ——————————————————————————————————————————————————————————————————————————- Summary of Execution ‘Data_Encoding’ machine learning method offers renovative means for a variety of applications in architectural design. In order to have a … Read more

Facade Evolutions

By employing [input_output] + [pix2pix] combination of machine learning strategy, this exercise explores the opportunity to facilitate facade developments. [over 2000 variations] Inspirations [Input_Output] + [pix2pix] combination is a powerful machine learning tool for innovative architecture design. A meaningful and robust dataset is critical for a successful project. Pilot-test and extensive back-and-forth adjustments are also … 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

Museoflow

A Graph Machine Learning Approach for Classifying Museums Layouts Based on their Circulation Patterns and Gallery Experiences. This project aims to use graph machine learning to evaluate and classify museum layouts and experiences. By leveraging the structure and relationships within a museum’s most contributing elements, such as galleries and circulation. The project aims to identify … Read more

City.Style.GAN

Can we find a systemized approach for extracting the shape of cities? City.Style.GAN is a small research on the possible generative networks capables of generating new buildings massings according to the urban shape fo the city. Methodology: In a first aproximation to the urban generation, large portions of three urban tissues are extracted in OSMnx … 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

Klara

The project is intrigued by the comparison between human thinking and machine learning, particularly in understanding the distinctions between lived experience and acquired memory. To explore learned memory, we focus on Klara, an artificial friend from the book “Klara and the Sun.” Klara, a solar-powered robot, assists a sick child and possesses the ability to … Read more

BAILCONIES

RESEARCH QUESTION Custom facade design has high costs,currently these designs are reserved to high end residential design. What if AI could give a valid variety of proposals for balconies customized arrangements that take into account microclimate and privacy of the outdoor space? METHODOLOGY DESIGN PROCESS PIX TO PIX GAN Allows to explore several options It is quicker … Read more

ESTIMATE ESTATE – Discovering the Perfect Locale

With the recent upsurge in tourism worldwide, the Airbnb accommodation sector has become a thriving industry. As a result, the demand for Airbnb accommodations is poised for further growth, attracting an increasing number of individuals interested in entering this lucrative market. ?How can a new entrepreneur make a decision on the ideal location to open … Read more