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 , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



Call for AI-themed holiday videos, art, poems and more

Send us your AI-generated art, pictures, poems, datasets, music, films...
30 November 2023, by

AIhub monthly digest: November 2023 – deconstructing sentiment analysis, few-shot learning for medical images, and Angry Birds structure generation

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
29 November 2023, by

An introduction to science communication at #NeurIPS2023

Find out more about our short course to be held in-person at NeurIPS on Monday 11 December.
28 November 2023, by

Co-creating better images of AI

In July, 2023, Science Gallery London and the London Office of Technology and Innovation co-hosted a workshop helping Londoners think about the kind of AI they want.
27 November 2023, by

The power of collaboration: power grid control with multi-agent reinforcement learning

A promising AI tool for assisting network operators in their real-time decision-making and operations

Goal representations for instruction following

How can we reconcile the ease of specifying tasks through natural language-based approaches with the performance improvements of goal-conditioned learning?
23 November 2023, by





©2021 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association