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Stavanger AI Lab connects researchers, educators and students at UiS with industry, business and the public sector.
We conceptualize advanced operational functions as well as explore optimization methods and physics-informed AI to address present and future operational hurdles, aiming for economic, resilient, and secure operations of electric power system.
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She is a radiologist at Stavanger University Hospital, he is a computer scientist. Now they have teamed up to develop a tool that can help doctors make better and faster decisions when a cerebral stroke is suspected.
As part of the Pedagogy Unit (Uniped), the focus of this research group is to work with educators on the critical assessment of Artificial Intelligence (AI) in education to explore AI’s implications and identify appropriate applications.
The reseach group on AI, ethics and law focuses on legal and ethical implications of development, deployment and use of AI systems.
The following single courses at the Faculty of Science and Technology are related to artifical intelligence and machine learning.
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Human Reading Assessment is an NRC-funded research project exploring new methodologies for adaptive reading assessment. The project will start in April 2024.
The Applied AI and Digitalization in Drilling Group at IEP, Department of Energy and Petroleum Engineering at the University of Stavanger, bridges the gap between industrial domain expertise and latest advances in Artificial Intelligence.
At the reliable systems lab, we design and evaluate computer systems to create more reliable, secure and accessible digital infrastructure.
Due to an increase in the amount of data available through technological advancements, AI and machine learning approaches can be employed to convert the data into contextual information, leading to a step change in the field of energy and petroleum engineering.
Focusing on data, we will obtain value and impact by computing while maintaining privacy and trustworthiness.
Novel information retrieval and web mining solutions for next generation search engines and intelligent systems, using cutting edge machine learning and AI.
We investigate the function of biological systems, from intracellular molecular networks to complex microbial communities, and use mathematical models and experimental methods to explain and predict behavior.
Research activities vary from fundamental to applied research, with machine learning, deep learning and robot technology as main focus or tool.