The task is to apply the logic of natural phenomena to architectural scale. Considering the hexagonal extrusions that were developed on the Kangaroo surface, Its been decided to do a pavilion with climate responsive facade system. When I took another look on what kind of responsive system i should go for, I’ve found out that … Read more
A new self sufficient tudent housing for IAAC Pseudocode Parameters Fitness values: The Towers F01: AVOID COMMON HEIGHTS F02: AVOID COMMON BASE F03: MINIMIZING THE NUMBER OF INTERSECTIONS BETWEEN TRIANGLES F04: MAXIMIZING TOTAL AMOUNT OF SOLAR RADIATION ON TOWER´S ROOFTOP Catalogue: 18 towers Fitness Values: The Units F01: REDUCE COLLISIONS BETWEEN UNITS F02: REDUCE COLLISIONS … Read more
The proposed vision for Tempelhof is articulated as a ‘city within a city’ arranged along the two airstrips of the former airport, extending perpendicularly to emphasise a dual directionality. Buildings are conceived as flexible micro-communities built on organic/biodegradable materials, with the possibility of growing or ‘de-growing’ through time.The design strategy aims to trigger a need … Read more
Context Inter Disciplinary In this project, we explore the intersection of digital nomadism, autonomous mobility, and AI-enabled sensing technology. Inspired by thinkers like Tsugio Makimoto, Pierluigi Coppola, and Tim Ferriss, we aim to create an autonomous living space that supports a mobile, remote work lifestyle. The COVID-19 pandemic has accelerated the rise of digital nomadism, … Read more
GENERATIVE AI Abstract In today’s evolving architectural landscape, the convergence of technology and design offers unprecedented opportunities to enhance human well-being and promote sustainability. At the forefront of this innovation is ISO-COMFORT, a pioneering project that leverages Generative AI to create isometric models emphasizing thermal comfort and sustainable design. This blog post explores the development … Read more
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
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
Insights into the effects of weather data in Argentina, with implications for sustainable land management, deforestation and conservation policies, agriculture, industry and economies. Climate change, in particular the decrease in precipitation, is predicted to have significant effects on the living conditions in Argentina, affecting agricultural production, sea level rise, hydroelectric energy. The dataset composition consists … Read more
The Horizon is an open space, spanning 110m x 37m (length of a whole block of Barcelona) that guides human behaviour around changing shadow patterns, which are driven by the sun’s heat. It rests on the top of the student housing building, housing all the communal areas. Communal activities around the Horizon shift, with moveable … Read more
Abstract: The ReWeave project develops a robotic system to repurpose construction and demolition (C&D) waste into functional, attractive walls, enhancing human-robot collaboration. We created a database by scanning broken tiles to extract shape, size, and color information, then developed custom nesting algorithms to optimize tile arrangement. The workflow includes scanning tiles, exporting outlines via ROS, … Read more
Ai-assistant for Architects at early design stage Following work is envisioned as a reflection on the design principles and methodologies learned during my studies as an architect. From my early days in architecture, I was fascinated by the conceptual phase of project development. I found it truly amazing how diverse design inputs could merge into … 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
INTRO This study investigates innovative joinery solutions for modular evaporative cooling systems using 3D printed clay. With the rising global temperatures and subsequent increased demand for energy-consuming air conditioning systems, there is a crucial need for sustainable cooling alternatives. The research focuses on addressing the challenges of material shrinkage and joinery reliability in 3D printed … Read more
