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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.
A node for research, innovation and education in artificial intelligence at University of Stavanger (UiS).