SCIENCE AI Centre

Previous Events

6 June 2023, 14:00-15:00

AI Talk: Fact-checking Online Information Using The Crowd

Join us when Assistant Professor Kevin Roitero from the University of Udine will give a talk titled 'Fact-checking Online Information Using The Crowd'.

30 May 2023, 12:15-13:00

DIKU Bits: Deep learning and remote sensing for ecosystem monitoring

Join us when Christian Igel from the Machine Learning section (ML) will give a DIKU Bits lecture.

11 May 2023, 9:00-15:30

Natural Language Symposium

Workshop on Natural Language Processing (NLP) with the purpose of fostering collaboration among researchers.

28 Apr. 2023, 12:30-13:30

AI Seminar: Machine Learning Powered Inference in Cosmology

Join us for a talk by Pablo Lemos. Everybody is welcome to attend.

17 Apr. 2023, 10:00-11:00

AI Seminar: Inferring selection effects in SARS-CoV-2 with Bayesian Viral Allele Selection

Join us for this AI Seminar by Martin Jankowiak, machine learning scientist at Generate Biomedicines. Everybody is welcome to attend.

31 Mar. 2023, 13:00-14:00

AI Seminar: Interpreting Training

Join us for a talk by Naomi Saphra, Postdoctoral Researcher at New York University. Everybody is welcome to attend.

28 Mar. 2023, 12:15-13:00

DIKU Bits: Efficient Robot Learning under Uncertainty

Join us when Hang Yin from the Image Analysis, Computational Modelling, and Geometry section (IMAGE) will give a DIKU Bits lecture.

24 Mar. 2023, 13:00-14:00

AI Seminar: XAI for representation learning

Join us for an online talk by Robert Jenssen, Director of SFI Visual Intelligence and Professor at UiT The Arctic University of Norway. Everybody is welcome to attend.

9 Mar. 2023, 15:00-18:00

PhD defence by Dustin Brandon Wright

Join us when Dustin Brandon Wright will defend their PhD thesis titled 'Machine Understanding of Scientific Language'.

27 Feb. 2023, 10:00-11:00

DeLTA seminar by Amartya Sanyal

The DeLTA Lab from the Department of Computer Science, University of Copenhagen, holds another seminar titled 'Trustworthy Machine Learning under statistical limitations' by Amartya Sanyal, ETH.