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AI Labs

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At the forefront of artificial intelligence

At AI Labs, we shape the future of Artificial Intelligence (AI). 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 

In AI Labs you can 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; AI Labs 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.

a photo of a woman, Marie Johansson, cropped in a circle, black and white

Marie Eriksson Johansson
Solution Architect, Dell Technologies

Stories from the AI Labs

In our cross-sector collaborative environment, AI Labs' 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.

Picture and a text 'From the Young Talent Program to the Baltic Sea

Edge models provide researchers with new insight into marine ecosystems

2024-06-12
Analysis of large datasets aboard a sailing drone off the coast of Gotland is giving marine ecologists real-time insights into the happenings of the Baltic Sea. – Thanks to edge models, we don’t have...
Johan Östman and Fazeleh Hoseini, Research engineers at AI Sweden

When will an AI model reveal your sensitive data?

2024-06-05
AI models can leak training data–this is known. However, such leakage has mainly been observed in lab-like conditions that often favor the attacker. Today, there are few answers on what the risks look...
One of the supercomputors in the Barcelona Supercomputing Center

AI Sweden and Fraunhofer IAIS to develop language models for all of Europe

2024-05-16
AI Sweden, in collaboration with Germany's Fraunhofer IAIS, has gained access to one of Europe's most powerful supercomputers to train language models for all EU languages. The EuroLingua-GPT project...

A growing number of AI Sweden partners are engaging directly within the labs, 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.

A picture of a man called Andreas Hellander, cropped as a circle in black and white

Andreas Hellander
CEO and co-founder, Scaleout Systems AB

Our focus areas

Edge Learning

Edge Learning Lab is a unique environment that enables professionals and students from our partners to explore the possibilities and limitations of decentralized and edge learning.

Cars connected as an illustration of federated fleet learning
As the focus on policies and regulations concerning data sharing, security and storage intensifies...
Federated Learning In Banking
Money laundering poses a significant societal threat as it enables criminals to utilize illicit...
Zenseact Edge AnnotatationZ Dataset
AI Sweden, Zenseact, RISE, Lund University, Chalmers Industriteknik, and Univrses, in collaboration...

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.

Scrabble tiles tumbling in the air, each spelling out the letters and symbols of GPT-SW3
AI Sweden, together with RISE and WASP WARA Media & Language, have developed a large-scale...
An illustrative composition featuring multiple screens arranged in a circular formation, radiating light from the center
AI Sweden's language team is taking the next major step by initiating the development of Sweden's...
Photo in black and white of trucks on a parking lot seen from above
FormAI explores the use of generative AI coupled with formal verification for developing secure and...

AI & Security

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.

an icon showing a shield with incoming arrow, AI in the center and threat being dissolved into stars
Many recent works have highlighted the possibility of extracting data from trained machine-learning...
Golden honeycomb pattern on a computer component with a metallic shine
Honeypots are decoy computing systems that mimic real environments to trick attackers into revealing...

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.

A satellite seen in space looking down towards earth
The trend of mega satellite constellations with advanced sensors that produce enormous amounts of...
An image displaying predicted cloud thickness
The National Space Data Lab 2.0 (SDL2.0) is a collaborative project led by AI Sweden, RISE, Luleå...

Main AI Labs contributors & enablers

Aixia logo
Atea logo in grey
AWS logo in colour
Dell Technologies logo colour
Hopsworks logo colour
HPE logo colour
Intel logo colour
NetApp logo in green and black
Proact logo colour
Red Hat logo in colour
Scaleout logo in black
Stakater logo in colour
Stormgrid AI Solutions logo colour
Vinnova logo green
VOLVO logo in black letters
Zenseact logo bw

For more information, contact

Beatrice Comoli
Beatrice Comoli
Administrative Lead Data Factory
+46 (0)70-146 09 64
Photo of Amelia Högberg
Amelia Högberg
Project administrator & Event manager NLU team
+46 (0)70-431 92 38

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