More Effective Test Case Generation with Multiple Tribes of AI

Software testing is important to make sure that code works as intended. Traditionally, this verification process has relied on manual testing, which is not only time-consuming but also susceptible to human errors. Through the use of automated test case generation techniques, we can automate this process and reduce the time and effort needed to...

Module+: Towards Affordable and Qualitative Student Housing

This Master Thesis is an attempt to address the lack of a sufficient number of affordable and qualitative student housing by creating an experimental, universal design strategy called MODULE+, combining computational design and modular architecture. The strategy consists of three main elements - individually designed flexible timber modules, an...

Deep Generative Design: A Deep Learning Framework for Optimized Spatial Truss Structures with Stock Constraints

Energy use, CO2 emissions, and waste production are all significant causes of environmental issues. The building sector is a major contributor to these problems, specifically the manufacturing of (structural) steel elements. Application of reuse and/or remanufacturing, as done in a circular economy, will reduce these effects. Therefore, these...

Deep Generative Designs: A Deep Learning Framework for Optimized Shell Structures

In an urban context that needs to be constantly adapted to global crises, population movements, climate change and economic crises, designers and engineers strive to configure solutions that respond to multiple criteria. Within this framework, the concept of generative design is gaining more and more ground in the construction field, allowing...

Iterative training with human rated images to improve GAN generated image aesthetics: Effects of dataset size and training length

Generative Adversarial Networks (GANs) brought rapid developments in generating synthetic images by mimicking structures in the training data. With the list of application of GANs growing drastically, it has lately become an exciting technology to explore for designers to communicate their ideas and arts through technology and create engaging...

Extended, Distributed, and Predictive: Sketches of a Generative Theory of Interaction for HCI

This paper blends work in extended mind, distributed cognition, and predictive processing to provide a novel generative theory of interaction. This dovetailing offers an emerging picture of cognition that HCI stands to benefit from: our cognition is extended, distributed, and constantly trying to predict incoming sensory stimuli across social...

Using Artificial Intelligence for turbulent combustion modelling: Simplifying the conventional lookup tables

In reacting flows, detailed chemistry computations are usually avoided precomputing the thermochemical quantities as functions of a reduced set of variables such as the Flamelet Generated Manifold (FGM) approach[34]. Although it mitigates the calculations of detailed chemical mechanism, the memory requirement associated to store the lookup table...

AI for Experience: Designing with Generative Adversarial Networks to evoke climate fascination

Our world climate is an incredibly complex and ever-changing system. The reality of climate change and the consequential pressure to act fast to reduce greenhouse gas emissions requires immediate attention. And yet, despite this unprecedented urgency, active public engagement needed to motivate meaningful change is still missing.<br/> <br/> This...