Back in 2013 Maxxton started using Cloudinary as the Content Delivery Network (CDN) for images on websites of their clients. Over time Cloudinary expanded into a large company with over three hundred employees. They introduced many new features that were irrelevant to Maxxton, while they increased costs …

Revolutionary advances in technology have been seen in many industries, with the IIoT being a prime example. The IIoT creates a network of interconnected devices, allowing smooth communication and interoperability in industrial settings. This not only boosts efficiency, productivity, and safety but also …

We developed an application which allows learners to construct qualitative representations of dynamic systems to aid them in learning subject content knowledge and system thinking skills simultaneously. Within this application, we implemented a lightweight support function which automatically generates …

Data collection is crucial in modern automotive engineering. Yet, the focus on technological development often overlooks legal, ethical, and privacy aspects. This feasibility study aims to bridge this knowledge gap for SMEs and research entities by examining the technical, legal, and ethical aspects …

The concept of human-computer integration (HInt) is entering a new evolutionary phase, that leads to a paradigm shift from interaction to the integration of computing devices with the human body (Farooq & Grudin, 2017). This embodied integration, where a computer tightly integrates with the human body …

Permacomputing is a nascent concept and a community of practice centred around design principles that embrace limits and constraints as a positive thing in computational culture, and on creativity with scarce computational resources. As a result, permacomputing aims to provide a countervoice to digital …

Machine learning models have been an inevitable tool for analyzing medical images by radiologists. These models provide important information about the contents of these images using extracted radiomic features. However, the dimensionality of the feature space can cause reduction in the accuracy of prediction, …

Aiming for increased accessibility and adaptability, higher educational institutes are making their curricula more flexible, offering students more freedom to choose what courses they want to take. Making a well-informed choice out of many possible elective courses is difficult, because it requires the …

We examine the ideological differences in the debate surrounding large language models (LLMs) and AI regulation, focusing on the contrasting positions of the Future of Life Institute (FLI) and the Distributed AI Research (DAIR) institute. The study employs a humanistic HCI methodology, applying narrative …