Projects

AI Sweden, together with RISE and WASP WARA Media & Language, have developed a large-scale generative language model for the Nordic languages, primarily Swedish.

Can a large-scale Swedish generative language model reduce the threshold for using advanced language models to solve text processing tasks across a variety of sectors and use cases?

Prevention 360 is a prestudy by AI Sweden together with Nollvision Cancer, Informationsdriven Vård, Prevention Barnfetma, and Fokus Patient. Please note: This project has ended

This project aims to establish and test a new form of cross-disciplinary collaboration for accelerating applied AI in the context of AI-driven language technology: The Interdisciplinary Expert Pool...

The project develops large-scale language models for the Swedish public sector, enabling a number of applications with specific relevance to Swedish authorities.

Many recent works have highlighted the possibility of extracting data from trained machine-learning models. However, these examples are typically performed under idealistic conditions and it is...

AI Sweden's language team is taking the next major step by initiating the development of Sweden's first large multimodal language model. The new model is expected, just like GPT-SW3, to become an...

AI Sweden joined the National Library of Sweden and Scaleout Systems for a pilot on federatively trained language models. This was the first federative, large-scale modeling of artificial neural...

Federated Mortality Prediction Region Halland, together with Halmstad University, has devised an algorithm predicting emergency care patients' survival rate up to 30 days after they have visited the...

The concept of Precision forestry involves the use of high-resolution data to make precise decisions based on data from digital twins of forests at tree level. The goal of the project is to develop a...

The Swedish Authority for Privacy Protection (IMY) started Regulatory Pilot Testbed together with Sahlgrenska University Hospital, Region Halland, and AI Sweden. The project focused on legal guidance...

The Vinnova-financed Federated Learning Testbed project has been running from August 2020 till June 2021, where the purpose of the project has been to create a virtual testbed to build up a collective...

There are lots of different stakeholders on the roads. Many of them are collecting huge amounts of data for various purposes, such as autonomous driving, maps and navigation, public transportation...

The SCAPIS AI platform aims to create a secure research environment with access to the relevant infrastructure, tools, and processes for AI development, initially on the basis of image data from...

One of the largest challenges when it comes to space data analysis is cloud occlusion, which means that areas on the images are fully or partially covered by clouds and hamper the analysis. By...

SpaceEdge is the world’s first open testbed for space app development with the possibility for developers to upload their apps to SpaceCloud in-orbit.

The trend of mega satellite constellations with advanced sensors that produce enormous amounts of data is currently transforming the space industry. The entrance of these constellations will require...

The SuperLim project forms a Swedish version of the English benchmarking platform (Super)GLUE. The first version of an evaluation framework for Swedish language models has now been released with a set...

A thoroughly developed base for Natural Language Processing (NLP) is one of the cornerstones of successful AI applications. NLP is one of AI Sweden's strategic areas, and the Swedish Language Data Lab...

An extensive amount of medical text data is produced in Swedish healthcare, dental care, and the life sciences sector. The Swedish Medical Language Data Lab aims to develop language models for the...

The objective of the Swedish Space Data Lab is to increase the use of data from space for the development of society and industry and for the good of the planet. Swedish Space Data Lab, is a...

The National Space Data Lab 2.0 (SDL2.0) is a collaborative project led by AI Sweden, RISE, Luleå Technological University (LTU), and the Swedish National Space Agency (Rymdstyrelsen), and funded by...

TrustLLM will develop European large language models (LLMs) on an unprecedented scale, trained on the largest amount of text so far in European AI, covering a range of underrepresented languages, and...

For many AI systems, there is a high demand for good computer vision datasets. There are only a few datasets on the market today which are free and open. The purpose of the VAMLAV project – Validation...