Projects in artificial intelligence

CLEAR is a 3-year multinational research project within ITEA, which aims to build customized multi-modal AI pipelines for industrial applications across various domains.

The project builds on XR Horizons and explores how AI can enhance XR experiences in AR, VR and MR. The focus is on co creation between users and AI, as well as interaction with AI agents in training and simulation, in order to improve engagement, learning and creativity.

European energy data space

RISE is leading a project that explores how advanced technology can be used to measure and strengthen sustainable agricultural practices. With support from the SNSA and Arla Foods, the project will develop AI-based tools that analyze satellite images and drone data, with the aim of providing farmer…

In the newly launched research project AI-PRO, RISE is collaborating with several major companies to develop AI solutions that enable smarter production control. The goal is for the process industry to use AI, machine learning, and sensors to detect and manage problems before they affect production.

Project DREAM develops efficient solutions for real-time federated learning for autonomous vehicles. This enables the secure handling of large multimodal data sets and contributes to increased digitalization, road safety and more efficient AI systems for both the automotive industry and society.

Flexible electricity use in households is increasingly important as society electrifies and new costs are introduced in electricity tariffs. With clear, user-friendly services for electricity price forecasts and tariff-related costs, more households can plan smarter, lower expenses, and support a m…

PREMA-HEAPS is an ambitious initiative centered around improving the performance, reliability, and adoption of heat pumps.

PINNForm - The project is developing a new, AI-driven manufacturing method that quickly and flexibly forms metal components. By combining physics with AI, we can contribute to a more resilient and sustainable industry, for example, by creating light, strong drone components for forestry and emergen…

AI at Work for SMEs in Västerbotten provides small and medium-sized enterprises with an accessible path into AI through training, peer learning, and practical exercises. By lowering the barriers to AI adoption, employees strengthen their knowledge, confidence, and ability to develop new ways of wor…

This project aims to strengthen architects' ability to use and develop design technologies for a more efficient, sustainable, and business-oriented architectural practice.

The CarePath project aims to improve the management of chronic diseases such as obesity, type 2 diabetes and cardiovascular diseases. Through its smart, AI-powered toolkit of learning algorithms, it designs individualized support in real time, increasing the likelihood of adherence for better healt…

InnoMatSyn supports the coordination and mobilisation of stakeholders in innovative advanced materials at national and regional level, promoting synergy and complementarity. It builds on existing regional smart specialisations to strengthen cooperation within Europe.

Leveraging AI and machine learning, we develop a comprehensive solution to map, evaluate, and prioritize sewer network maintenance — from data collection to sewer index.

The project combines advanced X-ray technology with machine learning to understand the internal structures of a material faster and more accurately. The aim is to develop new AI-driven methods for analyzing materials at the nanoscale. This will eventually enable better control and optimization of m…

How can policy and regulation keep pace with the rapid advancement of medical technology? The project Future Policy for the Future of Precision Medicine explores how governance can enable innovative, safe and personalized healthcare.

The project aims to design and develop a customizable serious game that simulates real-world challenges in the management of Sweden’s water and wastewater infrastructure. It provides a risk-free and engaging environment to promote the understanding and application of data-driven approaches such as …

In the RegTek project, RISE is developing an LLM-based assessment pipeline to evaluate Ekonomistyrningsverket's use of Retrieval-Augmented Generation (RAG) for impact assessments. The goal is to increase trust and objectivity among regulators, ensure compliance with the EU AI Act, and thereby suppo…

SUSDOCK: Sustainable control of docks (Rumex spp.) – Synergies of detection, mapping, and innovative weed control aims to develop sustainable weed management and image-based mapping of docks in North European grasslands.

Efficient and timely maintenance are key for the competitiveness of the production and manufacturing industry, in Sweden and worldwide. Significant efforts have been dedicated to devising effective strategies that mitigate the risks of failures and unplanned disruptions. In this regard, using advan…

The aim is to overcome the century-old advantage of traditional petrochemical elastomers. The research project combines approaches from three key areas: materials science, artificial intelligence and robotics.

AI has the potential to revolutionize weed research by enabling quick and easy identification and mapping of different weed species across much larger areas than what is possible for humans. This can lead to a better understanding of how we can develop sustainable cropping systems where weeds can c…

This project aids the wind energy sector by offering solutions for operators, planners, and maintainers to boost energy efficiency. It can also give feedback to turbine manufacturers for better performance and guide policymakers to develop sustainable renewable energy strategies.

HIVEMIND (Human-centred collaboratIVE MultI-ageNt framework for accelerating software Development and maintenance) is an ambitious project aiming to advance responsible and human-centric software engineering methods, tools and best practices leveraging AI and data technologies to accelerate the who…

AIcares combines AI-based predictive modelling with specialised home healthcare to improve and personalise the care of patients with advanced heart failure.v

Cities face climate challenges with more impervious surfaces and fewer green spaces. Our project develops an AI- and GIS-based tool that helps cities and real estate companies transform grey areas into multifunctional green spaces, leading to smarter and more sustainable cities.

Development of a new and unique simulation and robotic path planning tool for atmopsheric plasma processing.

In HUMAI - Test and demonstration of HUMan-centered AI, we want to show how human-centered design and generative AI can be combined in a manufacturing context. This will reduce time-to-market and lower the threshold so that other companies will start working with AI and big data in their daily acti…

Swedish companies are poised to seize a larger share of the microelectronics market. Increase in market share of 20 % after project completion. Two years after project completion there will be a notable 50 % increase in precision in failure assessment within microelectronics production processes du…

Many manufacturing companies collect large amounts of production data, but to increase its value, improved methods for data management and analysis are required. The project's goal is to test and evaluate a technical solution and method in a real industrial environment that makes large volumes of m…

New empirical research field: Neurodesign & Neuroarchitecture. By combining brain research and AI with architecture and design, we understand more about how our living environments should be designed to support human, ecological and economic sustainability.

The project goal is to conduct a techno-economic pre-study involving the Swedish cleantech  industry. The focus is on identifying potential excess heat reuse applications that can be practically  implemented in global 6G cloud edge networks.

The changing landscape of connected vehicles presents major cybersecurity challenges. The project develops a system based on machine learning for intrusion detection in vehicle networks such as CAN and Automotive Ethernet. The system monitors and analyzes data traffic to quickly identify threats an…

The project creates the conditions for a digital computer vision tool for the next generation of quality control of surface defects on cast components.

MonPuForm aims to develop a new monitoring system designed to offer knowledge-based support for managing hydraulic pumps used in hydraulic servo presses.

In Sweden over 85 000 people live with inflammatory bowel disease, IBD. These chronic diseases are complex and can entail big individual variations. A major step is now being undertaken to improve the treatment of people with IBD through collaboration on precision medicine tools and methods.

This project aims to combine the concept pf XR training simulators with large language models (LLMs) to create a more dynamic and responsive training environment.

PRECISE aims to strengthen the security and resilience of software-intensive systems and digital infrastructures. The project achieves this by developing an AI-supported security chaos engineering framework for experimenting the cybersecurity aspects of systems.

To develop sustainable products and processes, we need a deep understanding of the internal structure of materials. With advanced synchrotron- and lab-based X-ray tomography, we can examine materials in 3D down to the microscopic level—without destroying them. This also makes it possible to study h…

MATISSE is a KDT EU project to develop a model-based framework for automating the creation of digital twins for the simulation, monitoring and testing of complex industrial systems. The project consists of partners from Sweden, France, Austria, Italy, Portugal, Finland, and Turkiye.

In the future, wind power needs to provide different kinds of services to the electricity grid. This project analyzes the possibilities in a broader perspective. The focus is on the ability of an entire wind farm to produce both electricity and services to the grid at the same time in the most effi…

The project goal is to enable development, training, virtual testing and scalable scenario-based validation of CCAM systems by providing a European Scenario Dataspace. Expected results are open datasets from different sources, best practices for gathering data and extracting scenarios, data process…

The DADAP project aims to transform the diagnostic assessment process in the clinical care pathway of Child and Adolescent Psychiatry (CAP) by digitizing and automating it using an innovative AI-based solution which is explainable and that optimizes the delivery of health and care services across a…

The project will create user-friendly End-to-End AI for automated quality control (QC) of manufactured components that can adapt to different environmental conditions and product designs.

Is your company or organization interested in developing in digitization, especially in artificial intelligence, cyber security and high performance computing systems? Then the European digital innovation hub Mighty can offer tailor-made solutions and expertise to guide towards digital success.

RISE develops methods for certification and verification of AI models with respect to both security and functionality.

Sensors for road vehicle automation can complement sensors already established in shipping at short distances close to infrastructure where the sensors are located on land. The method is to implement and demonstrate perception for selected scenarios for identification and target tracking. The aim o…

The project aims to enhance information management, automate and optimize processes, and boost operational efficiency and resilience in multi-purpose ports. It focuses on creating a Digital Twin solution for improved decision-making. Sweden and Singapore collaborate on the project.