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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.
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 5-year NORPART project AI-ESI aims to make a contribution by conducting joint activities between the partner universities in Norway, Egypt, and Palestine. Academic cooperation will target educational programmes development, teaching, research and supervision, and mutual virtual and physical student/researcher mobility.
The Faculty of Science and Technology at UiS has several laboratories within the field of computer technology. Here is an overview of relevant equipment and facilities.
The NewbornTime project aims to improve newborn care using artificial intelligence (AI) for activity and event recognition taken from videos in the time both during and immediately after birth.
University of Stavanger is participating in two new research projects led by NORCE. Together the partners seek new solutions for computing technologies; 3D machine vision and automated well monitoring.
The project investigates how Norway’s digital infrastructures enable an open and inclusive public sphere.
The NewbornTime project is about improved newborn care by using artificial intelligence (AI) for activity and event recognition in video from the time during and after birth.
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Professor Kjersti Engan is listed as the 11th most influential woman in the field of artificial intelligence.
Greencoin addresses the challenge of how to promote pro-environmental behaviours among urban citizens.
The main objective of the project is to provide security and dependability in the management and orchestration of network and data resources in 5G Multi-access Edge Computing (MEC).
UiS is part of the Lean 6σ Learning Academy, organised by European Networks for Performance Enhancement in Mechanical (Manufacturing) and Construction Industry.
Aiming to promote innovation and achieving increased tunnel safety, a research group has been established at the Department of Electrical Engineering and Computer Science (IDE) at the UiS with its members and collaborators representing the fields of ICT and tunnel safety.
Stavanger AI Lab opens up for several types of collaboration with society. We see it as our social mission to raise competence in AI. At the same time we want to be contributors to innovation in the field of artifical intelligence.
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.
The PhD programme in Science and Technology at the University of Stavanger offers five specialisations.
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.