Filetype
Systolic arrays (SAs) for matrix multiplication are commonly used in machine learning (ML), wireless communication, and signal processing. Inherently offering high throughput with good data reuse, they are well-positioned for both low-power edge devices and accelerator applications in high-performance computing. Current realizations suffer from startup latency, defined as the time required to full
En stad är inte endast en fysisk bild av dess gator och hus. Vi människor har också en egen relation till en stad, ett slags djupare existentiellt förhållande. Därför finns heller inte en berättelse om staden, utan flera - samtida - och ofta djupt personliga.
This review examines how coordination is infrastructured in digital health ecosystems where technologies, institutions, and practices intersect across organisational and professional boundaries. Drawing on a systematic analysis of the literature, we identify three interdependent infrastructural layers: technological, informational, and institutional, and four recurring processes through which coor
The electrification of long-haul freight transport is essential for reducing emissions and achieving sustainable mobility. However, battery-electric trucks (BETs) face significant barriers, including limited range, high battery weight, and prolonged charging times, which hinder their widespread adoption for long-distance travel. Electric Road Systems (ERS) offer a compelling solution by providing
Collaborating with highly skilled professionals in participatory design of machine learning (ML) and visualization tools presents unique challenges. This paper reflects on interdisciplinary projects involving medicine, biology, and the social sciences, where ML was introduced to support complex data analysis and segmentation tasks, sometimes from the outset and other times as a later addition. Des
We perform a validation analysis on the multipolar model of opinion dynamics. A general methodology for using the model on datasets of two correlated variables is proposed and tested using data on the relationship between COVID-19 vaccination rates and political participation in Sweden. The model is shown to successfully capture the opinion segregation demonstrated by the data and spatial correlat
Permanent Magnet Synchronous Motors (PMSMs) are becoming increasingly popular in traction applications. PMSMs have gained popularity due to their efficiency, compactness and excellent features related to control. This is mainly because of the permanent magnet placement in the rotor, which negates any additional rotor excitation, hence reducing energy losses considerably. This makes them more effic
Probed language-based assessments, where individuals describe their states using open-ended responses analyzed with Artificial Intelligence, have shown great promise for written language. But emotions are also conveyed through spoken language which might provide further assessment power to this method. Participants (N=645) were randomly assigned to watch a video clip of a church, shopping mall, or
The anesthetic drug propofol is commonly used to control hypnotic depth (suppression of awareness) in patients undergoing surgery or intensive care. In addition to manual titration, a model-based open-loop feed-forward strategy called target-controlled infusion (TCI) has attained some clinical popularity. Research on closed-loop control, with awareness estimates derived from an electroencephalogra
This work investigates the cryogenic performance of InAs-based vertical nanowire ferroelectric field-effect transistors (VNW-FeFETs) with hafnium zirconium oxide (HZO) as the ferroelectric gate dielectric. Measurements at 300 K and 14 K reveal a 25% increase in memory window, from 560 mV at room temperature to 700 mV at 14 K, indicating enhanced polarization stability at low temperatures while als
We present a general technique for efficient computation of second order information for optimization functionals involving many variables of different nature, frequently appearing in modern applications. This technique relies on the bilinear Hessian, and while the main tools for this task have been published elsewhere, we here focus on the problem of how to organize the computations in the multi-
The purpose of this study was to investigate the supervision of non-smoking school yards in Sweden. Smoking costs Swedish society an estimated 30 billion SEK annually in cost for healthcare, production losses and sick leave. Smoking among adolescents has declined in recent years, but it is still 24 % in high school's grade 2, which categorized as smokers. The supervision of the schoolyard is t
In the software industry, the drive to add new features often overshadows the need to improve existing code. Large Language Models (LLMs) offer a new approach to improving codebases at an unprecedented scale through AI-assisted refactoring. However, LLMs come with inherent risks such as braking changes and the introduction of security vulnerabilities. We advocate for encapsulating the interaction
This study evaluates the design choices of a two-day, industry-collaborative case competition at Campus Helsingborg and their effect on student motivation and engagement. Using pre and post Self-Determination Theory surveys, observations, and interviews we observed very high intrinsic (4.82/5) and extrinsic motivation (4.33/5). The perceived value of competition elements increased consistently aft
