Lyngby. Statistics on multimorbidity calls for increased prevention

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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Lyngby. Head of Department Jan Madsen: Computer scientists need to get serious about quantum computing

The Head of DTU Compute, Jan Madsen, emphasised the critical role of computer science in bridging the gap between physical qubits and useful applications.

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Lyngby. Researchers surprised by gender stereotypes in ChatGPT

A DTU Compute student has analysed ChatGPT and revealed that the online service is extremely stereotypical when it comes to gender roles. The analysis is the first step towards providing AI developers with a tool for testing against all types of discriminatory bias.

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Lyngby. Artificial intelligence can predict events in people’s lives

Artificial intelligence can analyze registry data on people’s residence, education, income, health and working conditions and predict life events with high accuracy. A research project from DTU Compute | DTU, University of Copenhagen, IT University of Copenhagen, and Northeastern University in the US was published in December in Nature Computational Science and has been cited worldwide.

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Lyngby. 200-year-old math helps us understand AI

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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DTU Compute, building 324. Photo: Bax Lindhardt

Lyngby. DTU Compute: Bridging Theory and Practice for a Diverse Technological Future

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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Trondheim. Geophysical data inversion in a probabilistic setting

Geophisical data inversion is crucial for understanding properties of the subsurface.
The vision in this projects has been to
– provide creative mathematically based solutions to recognized challenges in reservoir evaluation,
– develop methodologies for analysis of spatial and spatio-temporal phenomena.

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Darmstadt. Low-Frequency Stability in Electroquasistatic Simulations

In the industrial design process of high-voltage equipment, the simulation of electroquasistatic problems is frequently applied. One example of such a case are insulators (see

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Darmstadt. Multiphysical Simulation and Optimisation for Magnetocaloric Refrigeration 

Refrigeration has a remarkable and often underestimated impact on global warming: globally, about 20% of the total electric energy is used for refrigeration. Additionally, conventional

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ECMI-Springer Journal of Mathematics in Industry: Citation Impact and Special Issues

Journal of Mathematics in Industry is a peer-reviewed open access journal published under the brand SpringerOpen. It brings together research on developments in mathematics for

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