The researchers and PhD students of WASP is regularly publishing their results on conferences and in journals, these can be found listed below. Within the frame of the programme researchers of WASP have also compiled other types of publications looking more closely on the status and needs of AI research in Sweden and a technology foresight.

Scientific Publications

The following reference list contains the total publication output of the PhD students of WASP-AS Batch 1, WASP-AS Batch 2 and WASP-AI Batch 1 from the beginning of their PhD studies until Jan/Feb 2020. The ambition has been to give an overview of the type of publications that the WASP PhD students generate rather than to provide a complete listing.

WASP Technology Foresight 2018

This is an anthology of descriptions, assessments and reflections about upcoming technology. The objective is to establish current status and future potential in one single document, to function as an instrument for WASP in their endeavor to enable sustainable Swedish excellence in artificial intelligence, autonomous systems, and software for the benefit of Swedish industry. The document is compiled by individual expert contributors from all represented fields.

Swedish Infrastructure for AI

The report is commissioned by the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the Swedish National
Infrastructure for Computing (SNIC). The report forms the foundation for a planned investment in dedicated nationally available
computational resources for research using AI methodology, such as Machine Learning.

Editor: Anders Ynnerman

WASP AI4X – Collecting Ideas and Identifying Challenges for Future AI Research in Sweden

This report surveys the condition of AI and its use within various sectors in Sweden. During spring 2018, industrial leaders, business leaders and researchers gathered for the conference series AI4X and this report is one result from the meetings.

With contributions from 195 speakers, with 100 representatives from industry and 95 from the academic world, the report provides an overall image of how AI is currently used in Sweden. The report also discusses how work in AI should develop, and makes recommendations at the national level for how the academic world and industry together can ensure that Sweden remains at the forefront of research and development in artificial intelligence.

Some of the report’s recommendations:

  • Draw up a Swedish research agenda for AI
  • Invest in multidisciplinary research – the very nature of work in artificial intelligence is multidisciplinary
  • Create a strengthened ecosystem – courses and programmes in AI must also be improved to increase knowledge about AI throughout society
  • Create an active and vital discussion concerning digitalisation and artificial intelligence
  • Use Sweden as a testing ground, where new technology and applications can be tested and evaluated.