Online First

BackgroundApplications of artificial intelligence (AI) are now widely used in medicine and are becoming increasingly more important.ObjectiveSome of the ethical challenges associated with the use of AI applications in medicine are highlighted.Material and methodsAgainst the backdrop of established ethical principles, several recent studies are cited and discussed from an ethical perspective.ConclusionThe AI is a disruptive technology that offers great benefits but also entails certain risks. Medical ethics provide principles that can be used to identify risks and develop strategies for the responsible implementation of AI applications..

Predictive analytics based on machine learning (ML) and artificial intelligence is a powerful tool enabling precision psychiatry and providing insights into brain-behavior relationships. However, given the mixed results observed in the field so far, making meaningful progress requires careful consideration of several key challenges to ensure the validity of models and findings, including overfitting, confounding biases, site effect harmonization, and interpretability, among others [...]

Within the HPC operations, we have been using Pulp since 2022 for operating a central repository that is mainly used to distribute packages among HPC and internal systems. This talk gives a recap on the last 3 years of operations and highlights workflows, gains and challenges during operation..

Rayleigh-Benard convection is a benchmark problem for incompressible turbulent flows. Turbulence is typically discretized with high resolution in space in order to capture all relevant length scales, but the time direction is usually not treated with the same rigor. [...]

Lattice quantum chromodynamics (QCD) is a numerical approach to studying the interactions of quarks and gluons, where the fundamental eqautions governing their interactions are discretized to a four dimension spacetime lattice. One of the most costly computations is the inversion of the lattice Dirac operator, a large sparse matrix. [...]

Kinetic plasma simulations play a critical role in applications of societal relevance suchas nuclear fusion and building the next-generation of compact particle accelerators.They are also widely used in studying astrophysical phenomena and industrial plasmaprocesses.Particle-In-Fourier (PIF) schemes are attractive for long-time integration of kineticplasma simulations as they conserve charge, momentum and energy, exhibit avariational structure, do not have aliasing and have excellent stability properties.However, they are typically more expensive than the commonly used Particle-In-Cell(PIC) schemes due to the requirement of non-uniform discrete Fourier transforms (DFT)or fast Fourier transforms (FFT). In this talk, we present a Parareal-based parallel-in-time integration method for PIF schemes by employing a PIF scheme of coarsertolerance for nonuniform FFTs or the standard PIC scheme as coarse propagatorstowards the goal of performing long-time integration simulations. [...]

Particle-In-Fourier (PIF) schemes are attractive for long-time integration of kinetic plasma simulations as they conserve charge, momentum and energy (up to time discretization error), exhibit a variational structure, do not have aliasing and have excellent stability properties. However, they are typically more expensive than the commonly used Particle-In-Cell (PIC) schemes due to the requirement of non-uniform discrete Fourier transforms (DFT) or fast Fourier transforms (FFT). [...]

Vico et al. suggest a fast algorithm for computing volume potentials, beneficial to fields with problems requiring the solution of the free-space Poisson’s equation, such as beam and plasma physics. [...]

UNICORE (UNiform Interface to COmputing REsources) provides tools and services for building federated systems, making high-performance computing and data resources accessible in a seamless and secure way for a wide variety of applications in intranets and the internet..