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.
People, projects, publications
Use our research database to find:
- Access to our publications
- Information on our research & development projects
- Details on the people behind the projects and publications
Recent research projects
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Stability of self-organizing net fragments as inductive bias for next-generation deep learning
We recently released "A Theory of Natural Intelligence", proposing a possible key to the emergence of intelligence in biological learners. Goal of this fellowship is to develop a technical implementation of the concept of self-organizing netfragments within contemporary deep artificial neural nets. ...
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Serverless data analytics and data-centric consensus for sensed data in public transport
Public transport in Switzerland and in Latin America is organised differently and operated with different levels of reliability, innovation priorities, and acceptance of digital support solutions by passengers. The common element is that in both regions, operators struggle with optimising the offered services to ...
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Escape the fossils
With the Augmented Realitiy (AR) outdoor mission " Escape the Fossils", we want to create awareness and communicate our current research on energy transitions. It will specicially target students from 12 years. For this reason supporting material will be developed. The project partnership between the institute of ...
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Climate Rating for Real Estate Portfolios
To address climate and regulatory challenges for Swiss Pension and Real Estate funds, this project aims to create transparent, technology- and data-driven methods for evaluating Swiss Real Estate assets in terms of obsolescence, carbon emissions (current and forward-looking), and energy efficiency using large data ...
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Social Virtual Reality: Training toolkit for the assessment of emotional maltreatment of children
A comprehensive training service based on a virtual reality (VR) simulation will be developed to train social work professionals and students in the use of a diagnostic guide including structured interviewing methods to assess emotional maltreatment of children.
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