Conferences  >  Informatics  >  Scientific Computing and Data Science  >  Germany

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Key questions for the seminar include identifying which language constructs are best suited for expressing mixed precision algorithms in software and determining the specific floating-point formats required. This could provide valuable feedback to hardware developers. Additionally, the seminar should address which tools can aid in and simplify the analysis of reduced precision computing, and what tools might be necessary to evaluate the benefits of these techniques. For instance, how can algorithm developers predict and quantify the energy savings achieved through the use of reduced precision?

Algorithms and Data Structures,    Modeling and Simulation

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Faithful data representation is key. While this is universally true for visual analysis, the field of biological data communication has its unique challenges and open questions. Researchers need the right context to interpret data accurately, especially when uncertainties arise from factors like sampling choices or analysis parameters. Simplifying data for wider audiences must still convey its complexity and uncertainty to support informed decisions. This Dagstuhl Seminar will bring together experts in data visualisation and design, researchers, public educators, and journalists to explore methods for embracing and communicating biodata complexity and uncertainty.

Multimedia, Computer Graphics and Visualization, Games,    Human-Computer Interaction, User Experience, Virtual Reality

Wilhelm and Else Heraeus-Foundation

The purpose of this seminar is to bring together young and experienced researchers in the rapidly developing field of neutral-atom quantum information processing, and to give them the opportunity to interact and develop new ideas in a pleasant scientific environment. We will target and discuss the latest developments and major challenges on the way to controlling large-scale quantum systems.