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.

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