The research team CUQI at DTU Compute has, in a collaborative effort, written software that addresses the reliability of their images, e.g., when scanning for unwanted features in an object. The software is simple to use; often five lines of code is enough for a complete analysis. In this article, the team tells about the work and explains how to use the software.
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Danes are living for longer and longer, and this may challenge the healthcare system in the future. A prediction made by DTU, University of Copenhagen and the Research Center for Multimorbidity and Chronic Diseases at Region Zealand for the Danish population shows that individual patients are getting more diseases in the future. The researchers have used a new way to calculate the numbers and make predictions, using register information, which not only includes hospitalizations, but also medication and information from a number of other registers for all Danes ages 18+.
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We can’t always explain what is going on inside artificial intelligence – these unknown processes are concealed in what is known as a black box.
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Over the next two weeks, DTU Compute at the Technical University of Denmark will share stories mainly about artificial intelligence, mathematics, and their integration. DTU Compute is a leading research environment in digital technologies, spanning fields like AI, machine learning, IoT, and cybersecurity, applying these to areas such as health, green transition, and smart cities.
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When delving into numerical analysis, particularly in the realm of Finite Elements (FEs), one encounters several difficulties and hurdles associated with the central step of discretizing the underlying problem. In a two-phase interdisciplinary DFG research project, a robust numerical method was therefore developed that combines Isogeometric Analysis (IGA) and the Scaled Boundary Finite Element Method (SB-FEM) for modelling complex geometries in linear and non-linear solid mechanics.
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Together with four partners, our researchers at the Fraunhofer ITWM are investigating the effects of fibre distribution in wood-based insulation materials in the project »Oho: Optimization of Wood-Fibre Based Insulation Materials« with the aim of improving thermal insulation. The aim is to achieve a thermal conductivity of less than 35 W/K. The project is funded by the Federal Ministry of Education and Research (BMBF).
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Franz Luef, Department of Mathematical Sciences, NTNU Henry McNulty, Department of Mathematical Sciences, NTNU, and Cognite AS Industry is awash with time series data, from
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Kurusch Ebrahimi-Fard, Department of Mathematical Sciences, NTNU Fabian Harang, Department of Economics, Norwegian Business school, Oslo Fride Straum, Department of Mathematical Sciences, NTNU Propelled by
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REMODEL is a Staff Exchange programme funded by the Marie Curie Actions of Horizon Europe. In his article you find information about this funding scheme and a description of the min research topics of this programme investigating the mathematics of deep learning.
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The second edition of the Kaiserslautern Applied and Industrial Mathematics Days – KLAIM will take place in Kaiserslautern, Germany, from September 25th-27th, 2023. Registration is now open. We invite prospective speakers to submit a one-page abstract to one of the above five tracks.
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