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TZID:Europe/Oslo
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BEGIN:VEVENT
DTSTAMP:20261016T132649Z
UID:31e9cc86564a0e30042fa7ab2dd5d5cf5a5731ec
DTSTART;TZID=Europe/Oslo:20261111T090000
DTEND;TZID=Europe/Oslo:20261111T160000
LOCATION:Online and In-person
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/events/2026/uncertai
 nty-quantification.html
SUMMARY:Uncertainty Quantification in AI and Machine Learning 
URL:https://www.nora.ai/events/2026/uncertainty-quantification.html
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