WASP has now passed its fifth year and with an expanded program including initiatives towards AI and Math, WASP continues to build the foundations for ensuring relevance and impact of its research. This event will highlight and showcase the excellence that WASP is producing. With talks from a mix of WASP researchers, international speakers, industrial partners and high-profile decision makers, this event demonstrates how WASP is building excellence for the Era of AI.
We warmly welcome you to take part of this streamed production and live talks.
Our moderator Beata Wickbom will guide you through this day, presenting some of the most exciting AI-research conducted in WASP and outlining how WASP creates value for Sweden. The program will have a strong interactive presence where you, are guest, are welcome to contribute with thoughts and questions to be addressed.
In addition to the program below, you will also get to meet all of the nine recruited Wallenberg Chairs in AI and Wallenberg Guest Professors in AI*, and eight excellent WASP PhD students reflecting on a PhD student’s life and work in the WASP Graduate School.
Program with reservation for changes.
09:00 Opening of the Conference
WASP Program Director Anders Ynnerman and WASP Co-Director for recruitment coordination Amy Loutfi
Sweden – A Strong AI Nation and WASPs Importance
Talk by Marcus Wallenberg, Vice Chair Board of Directors, Knut and Alice Wallenberg Foundation
Building Excellence in AI through Recruitment and Collaboration
Interview with WASP AI Research Management: Prof. Danica Kragic and Prof. Johan Håstad
Meet the WASP CHAIRs
Meet the WASP CHAIRs
Interview with Ibrahim Baylan, Swedish Minister for Business, Industry and Innovation
10:15 Session #1 – Excellence in Research
The successful use of overparameterized probabilistic models requires new theory
Prof. Thomas Schön, Uppsala University
Thomas B. Schön is the Beijer Professor of Artificial Intelligence in the Department of Information Technology at Uppsala University. 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 is a fellow of the ELLIS society.
Regularized neural networks: predictive modeling, dimension reduction and noisy data
Prof. Rebecka Jörnsten, Chalmers University of Technology
Rebecka Jörnsten is Professor of Biostatistics and Applied Statistics in the Department of Mathematical Sciences at the University of Gothenburg and Chalmers University of Technology. Her research centers on model selection and data integration methods for systems biology as well as the development of improved regularization and learning techniques for neural networks. She is vice dean for research and research infrastructures at the Faculty of Science, University of Gothenburg. She is a member of the management group for the Chalmers AI Research center, CHAIR.
Making the most of machine learning for better decisions
Assistant prof. Fredrik Johansson, Chalmers University of Technology
Fredrik Johansson is assistant professor of Data Science and AI in the Department of Computer Science & Engineering at Chalmers University of Technology. He aims to make machine learning more suitable for applications in healthcare by studying questions of causality and decision-making. Fredrik was previously a postdoctoral associate at the Massachusetts Institute of Technology and joined Chalmers in 2019 on a WASP AI/MLX Professorship.
Meet WASP PhD Students
Amandine Caut, David Issa Mattos, Eduardo Gutierrez Maestro, Jens Gulin, John Törnblom, Karin Stacke, Mina Ferizbegovic, Timotheus Kampik
12:45 Session #2 – Creating Impact with AI Research
Securing Compute Power – New Supercomputer Berzelius
Niclas Andersson, Technical Director, National Supercomputer Centre, Linköping University
Associate prof. Fredrik Heintz, Linköping University
AI and (Language-based) Human-Robot Interaction
Associate prof. Iolanda Leite, KTH Royal Institute of Technology
AI and Animations
Associate prof. Gustav Eje Henter, KTH Royal Institute of Technology
Building AI Powered Applications for Everyone – Self-tuning Databases with DBTune
Assistant prof. Luigi Nardi, Lund University
AI and Robotics
Associate prof. Todor Stoyanov, Örebro University
14:20 Session #3 – WASP and Industry
- Deep Learning Hardware: Past, Present, and Future
INTERNATIONAL KEYNOTE SPEAKER – Bill Dally, Chief Scientist, Nvidia
Engaging Industry and Academia in Research Collaboration
Moderator Beata Wickbom in a talk with Torbjörn Lundahl, Director of WASP Research Arenas
Panel Discussion – Why is Swedish Industry Interested in WASP Research Arenas?
Participants in the panel:
– Johanna Björklund, Project Manager WARA Media and Language
– Johan Eker, Project Manager WARA Common
– Jesper Tordenlid, Project Manager WARA Public Safety
– Christoph Reichenbach, Project Manager WARA Software
– Jonas Larsson, Project Manager WARA Robotics
Beata Wickbom, WASP Program Director Anders Ynnerman, and WASP Co-Director for recruitment coordination Amy Loutfi
* Wallenberg Chairs in AI
Aristides Gionis, Frank Dignum, Ross King, Virginia Dignum, Vicenç Torra
Wallenberg Guest Professors in AI
Diego Calvanese, Hector Geffner, Luc De Raedt, Michail Vazirgiannis
If you have any questions regarding this event, please contact the WASP Program Office: email@example.com