Research & Innovation
At the forefront of artificial intelligence
At AI Sweden Research & Innovation, we shape the future of Artificial Intelligence. Here, our partners collaborate in the development of their capabilities in parallel with developing high-value AI solutions and infrastructure for creating AI.
Our current focus areas are Natural Language Understanding, Edge Learning (mobility, health, Space, infrastructure), and AI & Security.
The brightest minds in AI research and infrastructure
Engage with top-of-the-line infrastructure and some of the brightest minds in infrastructure and AI research. We continuously have top students and engineers from our partners working with us at AI Sweden.
Cross-sector exchange
The collaboration of great minds and diverse backgrounds is designed to provide you and your organization with what is needed to succeed in the rapidly evolving landscape.
An edge from speed and boldness
The “secret sauce” enabling us to stay at the forefront of development is based on our ability to quickly form projects, co-locate great minds, and provide access to advanced infrastructure; Research & Innovation help partners gain a competitive edge.
Our infrastructure is built on a dual-structure
Consortiums
These consortiums provide platforms and context for leading developers, data scientists, students, and researchers from several sectors, including mobility, NLU, health, space, finance, and AI security. They enable a collaborative environment with infrastructure developers to explore joint focus areas.
Infrastructure
Cloud
Data
Hardware
Software
When it comes to AI projects, you want to make sure that they scale. You want to test close by where you are, where you have people and equipment. Then you want to distribute that maybe globally to all the other environments that you have. That is one of the biggest winning themes of being here at the Edge Learning Lab.
Marie Eriksson Johansson
Solution Architect, Dell Technologies
Stories from Research & Innovation
In our cross-sector collaborative environment, our work can uncover new and unexpected synergies. Projects are often included in one of our consortiums, which enables them to draw on progress made in adjacent domains. For example, you may find development done for the healthcare domain applicable to the space domain. Findings can then be shared and spread throughout the AI Sweden ecosystem through the work of AI Sweden’s Adoption and Ecosystem teams.
Uppsala University lecturer Birger Moëll joins AI Sweden in new research role
National and European AI Capability on the agenda as EU minister visits
New initiative to strengthen Swedish cybersecurity
LeakPro 2 expands successful AI privacy assessment tool
OpenEuroLLM takes the next step for European AI sovereignty
Column: Insights from the world’s premier AI conference
OpenEuroLLM secures strategic access to multiple supercomputers: A milestone for European language models
The role of talent programs as AI reshapes the job market
A growing number of AI Sweden partners are engaging directly within the Research & Innovation and the Technology Infrastructure, finding that this hands-on approach significantly fast-tracks their AI development journey.
As a startup, developing tools for ‘edge learning’, specifically federated learning, having an infrastructure like the Edge Lab is invaluable. It is somewhere we can test our software in real production-like environments and collaborate with some of the best enterprises in Sweden on this.
Andreas Hellander
CEO and co-founder, Scaleout Systems AB
Our focus areas
Edge Learning
Edge learning is an approach in AI that shifts data processing closer to the source—enabling faster, more efficient, and privacy-conscious solutions. Today, edge learning is a core component of AI and a foundational element in several of AI Sweden's ongoing projects.
Natural Language Understanding
Natural Language Understanding (NLU) will be key for making the most of AI and enables tasks as wide-ranging as using voice assistants at home to a reliable automatization of certain social services. To accelerate innovation, development of applications, and implementation in this area, NLU therefore constitutes one of AI Sweden’s strategic initiatives.
Secure AI
As part of AI Sweden’s Edge Learning Consortium and in collaboration with Dakota State University, our focus on AI security aims to provide developers and users of Edge Learning Infrastructure the understanding to develop robust and secure AI solutions.
AI in space
Edge learning has the potential to revolutionize the development of AI for space applications and AI Sweden’s focus is to explore technologies that can be used for high-impact use cases.
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Team
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Research & Innovation drives AI innovation through a unique approach, exemplified by the Edge Learning Consortium. We've compiled key information in a brochure, download for an overview:
