Filtyp
Digital control systems introduce unavoidable computational latencies. For some controllers this time delay inhibits practical use, even though they in theory could provide more efficient control. For example, solving an optimization problem each sampling period when using model predictive control. By sampling faster than the computation time and executing independent controllers on distributed ha
This study investigates the incentives and barriers influencing AI ethics adoption in unregulated environments, drawing on semi‐structured interviews with AI professionals in Bangladesh. Our findings reveal that external pressures, such as international client requirements, drive companies to implement ethical measures, yielding both economic benefits and enhanced reputation. Conversely, tight dea
Post-compression of (sub)-picosecond laser pulses down to sub-100 fs durations has become a standard approach for high-peak-power sources at a high average power [1]. Here, we propose a new post-compression geometry suited for extreme temporal compression of energetic narrowband lasers, such as diode or electrically pumped four-level systems which can deliver kW-average powers [2], but typically e
Intense ultrashort-pulsed laser systems based on Ti:sapphire chirped pulse amplifiers (CPA) operating at 800 nm have been a workhorse of ultrafast science for several decades. More recently, driven by the progress in laser technology, sources with central wavelengths further in the infrared have emerged as powerful tools, in particular to generate soft X-ray (SXR) radiation via high-harmonic gener
A multi-variable adaptive controller is derived as the explicit solution to a minimax dynamic game. The minimizing player selects the control action as a function of past state measurements and inputs. The maximizing player selects disturbances and model parameters for the underlying linear time-invariant dynamics. This leads to a Bellman equation that can be solved explicitly for the case with un
Coherent extreme ultraviolet (XUV) radiation can be generated in a tabletop configuration via high-order harmonic generation (HHG) in gases. While HHG is inherently inefficient, increasing the conversion efficiency (CE) is crucial for many applications, such as coincidence spectroscopy [1] and coherent imaging [2], which require high XUV throughput. Previous calculations suggest that one way to im
Three different semiconductor nanowires are combined into a single optoelectronic artificial neuron. Our device provides a path towards low power computations with significantly reduced circuit footprint, thus addressing critical limitations in neuromorphic photonics. The false-coloured scanning electron micrograph shown in Figure 1a depicts the fabricated nanowire neuron. Two pin-doped InP nanowi
Photonics-based approaches to neuromorphic hardware offer advantages in speed and connectivity but often suffer from large device footprints.[1] Here, we present an ultra-compact artificial neuron built from semiconductor nanowires. A scanning electron micrograph of the nanowire device is presented in Figure 1a. Inside the dashed box, we show the neuron built from three III-V nanowires - two InP p
This paper provides a practical guide on how to effectively use the MARRYS helmet for recording and analyzing jaw movements in speech research. Rather than introducing the device itself, which has been described in detail in Gudmundsson et al. (2024), this guide focuses on the setup, data collection, and analysis workflows essential for successful experimental work. Applications include language l
Semiconductors use on-chip components, referred to as instruments, for test, debugging, firmware programming, configuration and other important functions. The instruments are needed to ensure proper device operation, however, they may be exploited by an adversary in an attack. With many different actors involved in semiconductor development and manufacturing, it becomes important to restrict acces
The integration of machine learning (ML) into software operations (MLOps) has significantly increased the demand for data to train and test models, making data sharing and reuse essential to mitigate the high costs of data collection and preprocessing. This study aims to advance the understanding of data sharing within an MLOps context by examining the establishment and governance of a data ecosys
Ensuring functional safety is crucial for the deployment of autonomous systems in real-life dynamic environments, as they must operate reliably and safely among humans. However, existing safety systems are designed with a closed-world assumption and can over-constrain the system by shutting down the robot at every safety violation, limiting the robot’s ability to complete its tasks. To address thi
In this study we investigated the tongue and jaw movements during heavy metal growling in comparison to modal voice to enlighten us about the relationship between the laryngeal and oral articulator. Similarly to harsh voice, growling employs supraglottic structures like the ventricular and aryepiglottic folds. Previous research suggests that the tongue dorsum assists in laryngeal constriction by r
Konstruktiv länkning, studentaktivitet och föreläsningar är tre grundstenar i högre utbildning. Men föreläsningen som undervisningsform har kritiserats: ”Det finns gott om högskolepedagogisk litteratur som förklarar varför föreläsningen är olämplig för att stimulera lärande. Ändå fortsätter vi föreläsa”, skriver Andreas Håkansson (2017, s. 40) i en artikel som trots allt landar i att denna undervi
De senaste 20 åren har humanioraintegrering i professionsutbildning varit på frammarsch i Sverige, både som forskningsfält och högskolepedagogisk praktik. Detta syns bland annat på bildandet av ett antal tvärvetenskapliga centra och program med sådan integrering i fokus. Den akademiska litteraturen om humanioraintegration i professionsutbildning visar att utvecklingen i Sverige är en del av en int
This study presents a digital solution for inducing visually-induced motion sickness (VIMS) using a head-mounted display (HMD) in a virtual environment. By digitally replicating off vertical axis rotation by adopting the Epley Omniax Chair, we induce sensory conflicts between the visual and vestibular systems through rotational vection, alongside optokinetic stimulation inspired by the Optoki-neti
Accurate imputation is essential for the reliability and success of downstream tasks. Recently, diffusion models have attracted great attention in this field. However, these models neglect the latent distribution in a lower-dimensional space derived from the observed data, which limits the generative capacity of the diffusion model. Additionally, dealing with the original missing data without labe
