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Senast publicerade
- Our future through a film lens: A speculative exploration of the future’s architecture based on today’s development plans & films(2025) Lennartsson, NadjaThe future city consists of tightly built high buildings, so the sky is barely visible. People will no longer eat food, but rather take pills, and the traffic will be moved to the air. Everywhere you go, there will be some sort of technology, and society relies on AI. Natural disasters are more common with greater effects and more problems in the utopia arise. The dream people once had has turned into a nightmare. The thesis speculated and explored the future of Gothenburg, which was shown in a final film. Today, architects don’t use the art of storytelling, but rather technical drawings to communicate their ideas, and the images they create are seldom emotionally affecting. On the other hand, films communicate a range of emotions that affect the viewers. In this thesis, storytelling and communicating emotions through hand drawings, aquarelle colouring and film in architecture is explored. By inspiration from films, architects can communicate emotions in architecture and enhance the experience of spaces. They can also take inspiration from films and other media to design buildings or reflect on our society’s architecture. How do film and museums communicate and portray dystopia and anxiety? What will Gothenburg look like every 25th year from today to 2125, based on the architectural developments happening today? Rosenlundsverket is a deteriorating building in Gothenburg with many layers that contribute to a dystopian appearance. By an analysis of five films, this thesis discovers how time, colour, light and shadow can communicate emotions and how those strategies can be applied to buildings. That results in a reconstructed version of the building that metaphorically is our distorted future. The analysis consisted of watching films, choosing particularly emotional scenes, sketching them and placing them on a timeline. They were then analysed to determine how they portrayed and evoked emotions such as anxiety. Based on the analyses and research about utopia, dystopia and filmmaking, perspectives of the Rosenlundsverket’s rooms were painted. The perspectives of the utopian and dystopian rooms were then assembled into a film. The tools learned from the explorations were then used when creating and materialising my personal view of the future Gothenburg city, which was lastly shown in a film.
- Introducing the ModularML Framework - A transparent and modular machine learning framework made as a tool for research and education(2025) Norland, William; Bremer, Måns; Sättemo, Gabriel; Carlsson, Sander; Nilsson, Elias; Carlsson, TimThis thesis explores the process of creating a highly modular machine learning framework in C++, without performance compromises. The framework can parse ONNX models into dynamic C++ objects, modify the implementation of core computational functions (like GEMM), and use the models to perform inference. The framework reproduces results achieved in peer frameworks like PyTorch and TensorFlow. The usefulness of this framework stems from its pure C++ implementation, with no API layers to compiled modules or other black-box functionality. This makes it highly suitable for use in education and research, where debuggability, modularity, and ease of use are paramount.
- Software Quality Evaluation of AI/ML-Based Neuroimaging Tools - A Simulation Study Using BRAPH 2(2025) Guo, YuxinThe increasing integration of artificial intelligence (AI) and machine learning (ML) into neuroimaging research has amplified concerns regarding the quality, reproducibility, and trustworthiness of such software systems. Existing evaluation practices often lack standardized and systematic frameworks, limiting their ability to test software quality, especially for AI/ML-based neuroimaging software system. This study addresses this gap by developing and applying a simulation-based framework to evaluate key quality attributes—transparency, functional correctness, and robustness— in AI/ML-based brain imaging analysis pipelines. The framework leverages the Watts–Strogatz network model to generate controlled, simulated brain connectivity datasets, enabling rigorous and repeatable testing. Two analysis pipelines within BRAPH 2 (Brain Analysis using Graph Theory 2), an open-source MATLABbased neuroimaging software for brain network analysis, are tested: a graph theory– based pipeline and a deep learning–based analysis pipeline. Both pipelines are evaluated against simulated datasets, successfully identifying the predefined salient brain regions and maintaining stable performance across repeated runs and random noise situations. Transparency was further enhanced through a graphical user interface and visualization modules that allow inspection of intermediate and final outputs. These results demonstrate that the proposed framework can effectively verify critical quality attributes in a controlled environment. The established methodology provides a robust and accessible foundation for extending validation to real-world neuroimaging datasets and for guiding future st andards in the quality evaluation of AI/ML-based neuroscience software.
- Household Resilience to Power Outages(2026) Kock, Tobias; Quesada, DanielThe purpose of this study is to investigate the resilience capabilities of house holds in case of power shortages/outages and their ability to adapt to these situations and to find out how long a villa district can maintain power with basic living conditions from an electric power supply point of view. By using Matlab, an artificial test environment was created in order to simulate how much power consumption behavior affects the overall consumption, specifically focusing on the heat pump and the electrical water heater. Using data from monthly generated solar power in Stockholm Sweden and the power storage capabilities of electric vehicles in order to prolong the resilience time of the households in these situations. The results of implementing the combination of solar panels and vehicle to grid technologies has shown that with some changes to daily life power consumption, the residential area can potentially provide sufficient energy locally for up to 65% of the year without grid support, given weather conditions do not stay dark for longer periods of time.
- Kautokeino School, Koncept modell(Chalmers tekniska högskola // Institutionen för arkitektur och samhällsbyggnadsteknik, 2026-03-01) Bianchini, Clarisse; Ollila, Hanna; Krafft Bruland, Julie; Willard, Philip; Carlson, Agnes; Al-Ameri, SandraIn 2020, a price and design competition was announced for a new Sami children’s and youth school in Kautokeino. The competition brief specified that "Sami's identity, culture, and expression must be reflected in the design of the building. The school should strengthen and develop Sami identity, culture, and language. Furthermore, it was asked that the competition proposals signal Sami identity, both in choice of materials, art and decoration, interior and exterior”. The architecture firm, Holar, won the competition with their project "Nature teaches us”. The new school is a 6000 m2 timber and concrete building. The circle is found in the strong circular shape of the outdoor space, which is formed by the building itself. It is the main architectural feature of the project, and emphasizes the simple square shape of the building. This courtyard is the external heart of the school, turned towards the sun, oriented south west. There is a large activity hall towards the north and a swimming hall towards the east. The Sami curriculum is present in the design as there is a larger focus on outdoor activities.