Expertise in artificial intelligence

Industrially scalable AI aims to develop AI solutions that are scalable, robust, and integrated across different industrial sectors, with the goal of moving from highly specialized and "fragile" solutions to more general and adaptive solutions.

Image analysis is a key technology for understanding and solving complex problems in various domains. At RISE, we conduct cutting-edge research in this field using artificial intelligence methods. We apply our knowledge and skills to important areas such as climate change, ecology, and biodiversity.

The ability to interpret decisions made by machine learning algorithms helps ensure important criteria such as safety, fairness, unbiasedness, privacy, and reliability by allowing humans to confirm that the algorithms adhere to regulations and ethical guidelines.

Cyber-Physical Systems are systems that contain software that interacts with both physical components and their environment. The Cyber-Physical Systems are becoming more common in our everyday lives and control many important functions and processes in today's society.

Adapting to the new AI-driven paradigm guarantees sustainability, competitiveness and success of the future industries. AI is already changing the entire business models by offering new ways of automation and knowledge creation. RISE will help you to see the possibilities, identify the opportunitie…

Today, large amounts of data are used to train AI systems that can be of great benefit to humanity. But what the trained systems remember from the training data is not always clear. We work to make it clear what a system remembers, and to create methods that can guarantee that the system remembers …

Federated learning take advantage of data that is distributed across a number of clients. Learning takes place locally on the clients, and with the help of a central server these clients can collaborate and achieve an even better generalization. This provides privacy benefits, as well as distribute…

AI for Chemistry and Toxicology is based on the competence of several RISE units: Process Chemistry, Toxicology and AI/Digital Systems. WE OFFER: Unique edge in the combination of computer science, toxicology, chemistry and materials and projects in chemical processes, toxicology and AI/ML as des…

Machine learning (ML) is an efficient tool to mimic complex processes. Numerical simulations, such as computational fluid dynamics (CFD) is often extremely time demanding and may occupy considerable computer resources for an extended period of time resulting in a very limited series of result.

A paradigm shift within the transport system is here. Historically the human driver has been responsible for both the car and the driving. As machines are introduced, they will take over the responsibility of interpreting the surroundings and other road users. For this we need methods to capture r…

Deep learning has taken the world by storm as the modern day work-horse powering many recent solutions in artificial intelligence, including Chat GPT, Dall-E, and autonomous driving. Deep neural networks are used in many applications in natural language processing and image analysis and have replac…

Natural Language Processing (NLP) is the task of using computer programs to analyze, understand and generate natural language. Our research concerns both basic algorithms for language AI and the use of such algorithms to solve various practical tasks and problems involving language data.