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DTSTAMP:20261111T025552Z
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DTSTART;TZID=Europe/Oslo:20261111T090000
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LOCATION:Domus Juridica, Kristian Augusts gate 17 and Online
DESCRIPTION:When a machine learning model makes a prediction, a natural qu
 estion is how much that prediction can be trusted. Uncertainty quantifica
 tion is concerned with answering exactly that, and it comes up across mos
 t areas of AI, from computer vision and natural language processing to ro
 botics and climate modelling.\n\nhttps://www.nora.ai/norsk/nora-research-
 school/events/2026/uncertainty-quantification.html
SUMMARY:Uncertainty Quantification in AI and Machine Learning 
URL:https://www.nora.ai/norsk/nora-research-school/events/2026/uncertainty
 -quantification.html
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