ΑΙhub.org
 

Sweden extending investment in AI


by
17 January 2020



share this:

It has been reported that Sweden is extending its investment in AI. An extra SEK 1.3 billion has been pledged that will extend the current programme by another three years, until 2029.
That would bring the total investment for the research programme (which started in 2014) to $585 (5.5 billion SEK). Most of the investment comes from Wallenberg AI, Autonomous Systems and Software Program (WASP). The remainder is mainly provided by the five partner universities (Chalmers University of Technology, the KTH Royal Institute of Technology, Linköping University, Lund University, and Umeå University) and industry.

The aim is to make Sweden internationally competitive across a broad range of AI disciplines. The grant has also made it possible to develop new graduate schools in AI and recruit senior AI researchers to Sweden. As well as supporting fundamental research, the funding has been used to develop the infrastructure required to utilize the new technologies.




Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Studying the properties of large language models: an interview with Maxime Meyer

  11 Mar 2026
What happens when you increase the prompt length in a LLM? In the latest interview in our AAAI Doctoral Consortium series, we sat down with Maxime, a PhD student in Singapore.

What the Moltbook experiment is teaching us about AI

An experimental social media platform where only AI bots can post reveals surprising lessons about artificial intelligence behaviour and safety.

The malleable mind: context accumulation drives LLM’s belief drift

  09 Mar 2026
LLMs change their "beliefs" over time, depending on the data they are given.

RWDS Big Questions: how do we balance innovation and regulation in the world of AI?

  06 Mar 2026
The panel explores the tensions, trade-offs and practical realities facing policymakers and data scientists alike.

Studying multiplicity: an interview with Prakhar Ganesh

  05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?

Top AI ethics and policy issues of 2025 and what to expect in 2026

, and   04 Mar 2026
In the latest issue of AI Matters, a publication of ACM SIGAI, Larry Medsker summarised the year in AI ethics and policy, and looked ahead to 2026.

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

  03 Mar 2026
Will AI hollow out the pipeline of students, researchers and faculty that is the basis of today’s universities?

Forthcoming machine learning and AI seminars: March 2026 edition

  02 Mar 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 March and 30 April 2026.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence