Biological systems are complex to model mathematically, but optimization theory grounded in Darwin’s evolution offers a solution. This approach predicts organism behaviours under various conditions, aiding in understanding responses to changes like climate shifts. Interdisciplinary collaboration between mathematicians and ecologists is key to advancing this research. Read more in the blog post by Associate Professor Uffe Høgsbro Thygesen from DTU Compute.
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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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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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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.
Read moreApplications of Agent-based Models (ABM) to analyse finance growth in a sustainable manner over a long-term period Kaunas University of Technology is looking for a
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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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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.
Read moreWhile eagerly awaiting this year’s Modelling Week, we already announce the next one! The 38th ECMI Modelling Week will be held from 29 June to
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