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More than 400 contributions to digital education competition for young Europeans News
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The SciChallenge project was presented at the Swedish Zoo Association's R&E conference News
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Seed project: Investigate Machine Learning Techniques for Decision-Making Support in K-12 Educational Context The main aim of this seed application is to investigate the use and application of Machine…
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New revolutionary technology to discover problems in industrial production News
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Strengthen your company’s development journey with an externally-employed doctoral student in AI/Computer/IT News
- Felix Viberg
- felixviberglnuse
- Sebastian Hönel Postdoctoral Fellow
- +46 470-70 81 45
- sebastianhonellnuse
- Morgan Ericsson professor
- +46 470-76 78 72
- +46 72-594 17 48
- morganericssonlnuse
- Jonas Nordqvist Associate senior lecturer
- +46 470-70 84 13
- jonasnordqvistlnuse
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Data Intensive Software Technologies and Applications (DISTA) The research group Data Intensive Software Technologies and Applications studies data-driven approaches, such as machine learning,…
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Seed project:Automated Assembly/Disassembly Instructions (ADDITION) The project aims at building a consortium interested in laying the foundation for harnessing the power of AI and digitalization for…
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Project: In-line visual inspection using unsupervised learning The purpose of this project is to introduce and improve machine learning- assessment of the quality of massproduced industrial (steel)…
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Doctoral project: Advanced identification methods for the forest industry through CV/AI The project intends to create opportunities for continued digitalisation in the forest industry. This concerns…
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Doctoral project: AI in administration of agricultural subsidies We want to design, implement and evaluate systems based on artificial intelligence that supports our customer with the administration…
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International project to attract more young people to science and research News
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The SciChallenge project was presented at a Vinnova meeting News
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The first doctoral student at Data Intensive Sciences and Applications is in place News
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Seed project: Development of an intelligent wearable – the DIWAH study The overall goal of the research in this seeding project within the Linnaeus University Center for Data Intensive Sciences and…