How can artificial intelligence become more trustworthy? How can the energy consumption of AI be reduced? How can neural networks be trained more efficiently?

Prof Dr Damian Borth is asking himself these questions as part of his research project “Hyper-Representations: Learning from Populations of Neutral Networks”, which the SNF will support with CHF 608,700 over four years. Prof Dr Borth is a lecturer on the Executive MBA HSG programmes and shares his expertise in the “Coding & Artificial Intelligence” module.

Current research in the field of artificial intelligence and machine learning focuses mainly on the study of deep neural networks and their structures – and thus on understanding their robustness and behaviour. Prof Dr Borth will focus on populations of neural networks rather than individual models. This approach should provide a better insight into the structure and behaviour of neural networks than would be possible with a single model. Based on this, a basic model will be trained. Find out more about his research project.


Get the latest articles directly to your inbox.

Newsletter [EN]

Share article

More articles

  • International Award for Research on Digital Transformation for EMBA Lecturer Prof Dr Jan Marco Leimeister

  • University of St.Gallen among the top 20 worldwide in the Financial Times Executive Education Ranking 2024!

  • Research project by Prof Dr Damian Borth in the field of machine learning is supported by the SNF

  • ‘Elite Quality Index 2024’ with Prof Dr Tomas Casas places Switzerland in second place

  • Karolin Frankenberger published a new book!