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Research database

Our research focuses on topics relevant to industry and society. Find out more about what we’re doing in our diverse research projects.

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Recent research projects

  • Good practices for responsible development of AI-based applications in healthcare

    This project will identify proven methods, practices and standards that support responsible research and development of AI systems for health. They will be tested in use cases from medical imaging and neurotechnology, publicly released and published as a guideline of recommended best practices.  ...

  • Development and validation of a tool for advising primiparous women during early labour (GebStart-Study)

    Background Pregnant women experience early labour as the first phase of labour with different physical and emotional symptoms. Early admission to hospital has been found to be associated with increased intervention and caesarean section rates. However, primiparous women often contact the hospital before labour ...

  • DOSSMA – Detection of Suspicious Social Media Activities

    The DOSSMA project will investigate suspicious and malicious behaviour on social media platforms. In a first phase, we will compile an extensive survey report on the areas that are currently being researched, including the respective state-of-the-art, existing solutions and initiatives. This report will serve as a ...

  • FASTscan: Fully Automated Security Testing with scanmeter

    In this R&D project, scanmeter - a service for the automated security analysis of IT systems - is being extended by three innovative components. This will significantly increase the level of automation and test coverage, significantly improve customer benefits, and expand the fields of applications. Specifically, ...

  • Strengthening Swiss Financial SMEs through Applicable Reinforcement Learning

    Over the last few years, Reinforcement Learning (RL) has gained significant attention as a framework for learning optimal decisions even in complex environments. Moreover, RL is currently considered one of the most promising research areas in machine learning and has already demonstrated immense potential for ...

Recent publications