AI4Research: Open talk on AI for research and new results on deep regression

Open talk by Professor Thomas Schön. In the first part he will discuss and show how AI/ML can be used for research in classical areas of natural science and medicine. In the second part he will discuss a new approach to deep regression.

This talk has two loosely connected parts: In the first part we discuss (using fairly concrete examples) how AI/ML can be used for  research in classical areas of natural science and medicine. The  illustrations stem from physics, medicine and biology that we have worked with over the past 2-3 years. The idea is to make a  case for using AI/ML as a tool in research within more classical  academic disciplines. This is tightly linked to the AI strategy of  Uppsala University that I will briefly introduce as well. In the second part (which is perhaps slightly more technical) we develop  a new approach to deep regression. While deep learning-based  classification is generally addressed using standardized approaches, a  wide variety of techniques are employed when it comes to regression. We have developed a new and general deep regression  method with a clear probabilistic interpretation. We obtain good  performance on several computer vision regression tasks (including a new  state-of-the-art result on visual tracking).

The talk will be given in English.

Watch the talk on Zoom

Uppsala University is striving to establish a prominent position within research and education on the digitalisation of society and the challenges and opportunities that come with it. Read more about AI research at Uppsala University.

AI4Research: Open talk on AI for research and new results on deep regression