Welcome to a AI Talks under the theme AI for research and some new results on deep regression, with the speaker Thomas B. Schön who is Professor of the Chair of Automatic Control in the Department of Information Technology at Uppsala University.
Abstract: 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 was given on Zoom on the 17th of June, 2020. The slides from the talk are available here.
About the speaker
Thomas B. Schön is Professor of the Chair of Automatic Control in
the Department of Information Technology at Uppsala University and has recently been appointed Beijer Professor of Artificial Intelligence at the same university. He
received the PhD degree in Automatic Control in Feb. 2006, the MSc
degree in Applied Physics and Electrical Engineering in Sep. 2001, the
BSc degree in Business Administration and Economics in Jan. 2001, all
from Linköping University. He has held visiting positions with the
University of Cambridge (UK), the University of Newcastle (Australia)
and Universidad Técnica Federico Santa María (Valparaíso, Chile). In
2018, he was elected to The Royal Swedish Academy of Engineering
Sciences (IVA) and The Royal Society of Sciences at Uppsala. He received
the Tage Erlander prize for natural sciences and technology in 2017 and
the Arnberg prize in 2016, both awarded by the Royal Swedish Academy of
Sciences (KVA). He was awarded the Automatica Best Paper Prize in 2014,
and in 2013 he received the best PhD thesis award by The European
Association for Signal Processing. He received the best teacher award at
the Institute of Technology, Linköping University in 2009. He is a
Senior member of the IEEE and a fellow of the ELLIS society.
Bio from: http://user.it.uu.se/~thosc112/biography.html
About Chalmers AI Talks
A seminar series with inspiring talks from internationally acclaimed experts on artificial intelligence.
Come listen to world-renowned leaders in computer science, machine
learning and statistics discuss on a wide range of perspectives on how
AI will affect research, business and society.
The seminars are open to all and are free of charge.
This seminar series is an initiative of the Chalmers AI Research Centre (CHAIR).
18 June, 2020, 13:00
18 June, 2020, 14:00