Production workers instructed with augmented reality glasses can work much faster than colleagues instructed with analog methods. However, an international study shows that they are less capable of internalizing their tasks and of making suggestions to improve production processes. These insights may help companies when adapting AR applications to their needs and balancing productivity gains against process optimization priorities.
The IT Center of the Bavarian Natural History Collections (SNSB) presents its new app 'DiversityNaviKey' (DNK) – a tool for reliable identification of natural science objects. The application is based on scientific data sources managed by the established database system of the SNSB, Diversity Workbench.
When the demand for workers significantly exceeds the supply, companies in the United States place less emphasis on formal degrees when it comes to job applications. Instead, skills and competencies become more important. This is the conclusion of a study with the participation of Christina Langer, which has now been published in the renowned Harvard Business Review. Christina Langer is a research associate at the Chair of Macroeconomics at the Ingolstadt School of Management Ingolstadt (WFI) of Catholic University Eichstätt-Ingolstadt and a visiting scholar at the ifo Institute in Munich.
Coordinated by the University of Passau, the interdisciplinary research cluster "ForDaySec – Security in everyday digitalisation" is investigating new types of technical procedures that provide cybersecurity to private households, small- and medium-sized enterprises (SMEs) and the public administration. The Bavarian State Ministry of Science and the Arts has awarded the cluster a grant worth EUR 3.3 million for a four-year period.
The use of artificial intelligence in medicine offers new ways for making more precise diagnoses and relieving doctors from routine tasks. How well do doctors really have to understand this technology to develop the "right” measure of trust in such systems? And does the use of AI lead to any ethically relevant changes in the doctor-patient relationship? It is answers to these and similar questions that a project headed by the THI Ingolstadt and the Catholic University Eichstätt-Ingolstadt (KU) will be working on.
Remote learning during the pandemic has once more led to a discussion of the chances that might lie in a greater digitalization of classroom teaching. “We fall short, if we merely see digitalization in terms of technical equipment, that is to say, software and hardware. Any technology can only support teachers”, says Prof. Dr. Heiner Böttger, who holds the chair of English Didactics at the Catholic University of Eichstätt-Ingolstadt.
Just as electrons flow through an electrical conductor, magnetic excitations can travel through certain materials. Such excitations, known in physics as "magnons" in analogy to the electron, could transport information much more easily than electrical conductors. An international research team has now made an important discovery on the road to such components, which could be highly energy-efficient and considerably smaller.
By today’s signing of their cooperation agreement, the University of Augsburg (UNIA), the Munich School of Philosophy (HFPH) and the Technical University of Munich (TUM) have laid the foundation stone for the joint “Center for Responsible AI Technologies”, which will bring philosophical, ethical and social science issues into the development of AI technologies in an integrated approach to research. Supported by three newly created professorships at UNIA, TUM and HFPH and financed by “Hightech Agenda Bayern”, the new cross-location center will make a valuable contribution to socially responsible and trustworthy AI innovations.
The Institute for Data and Process Science (IDP) at Landshut University of Applied Sciences is developing a further training offering for small and medium sized companies. The short training courses which are planned have been designed to help smaller companies keep pace in the areas of digitalisation and sustainability.
Dermatologists typically classify skin lesions based on multiple data sources. Algorithms that fuse the information together can support this classification. An international research team has now developed an algorithm that classifies skin lesions more accurately than previous algorithms by using an improved data fusion process.