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Gustav Grund Pihlgren is a Postdoctoral researcher specializing in Explainable AI (XAI) with a focus on computer vision. His research interests include the automatic connection of explanations provided by XAI tools to tangible concepts that target various audience ranges. His expertise is backed by a doctorate in computer vision and deep neural networks. Pihlgren investigates how deep features in neural networks can be utilized to measure the similarity of images, leveraging his experience in computer vision to adapt XAI tools for image-based applications. He is a member of research groups dedicated to advancing understanding and implementation of Explainable AI in practical scenarios.
Umeå University • Umeå
Conducting research in Explainable AI, focusing on the applications of computer vision.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.