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Center for Data Science

CEDAS front page

Data Science is about drawing useful knowledge from large and complex data. The Center for Data Science focuses on research and education in central aspects of Data Science, like its algorithmic foundations, visual data science, machine learning, and data science in bioinformatics. (© picture*)

Professor Martha Larson
Mar 10

AI vs. Our Eye: New Perspectives on Adversarial Images

This I2S seminar series lecture explores different approaches to answering the questions: Does AI really see images the way that people do? What are the consequences of the difference between AI and our eye?

Center for Data Science seminar
HyperTraPS
Mar 11

HyperTraPS: Learning evolutionary and disease progression pathways from large-scale biological and medical datasets

Iain George Johnston will talk about HyperTraPS (hypercubic transition path sampling), a highly generalisable Bayesian approach which efficiently learns evolutionary and progression pathways from cross-sectional, longitudinal, or phylogenetically linked data.

ERC - European Research Council
Saket Saurabh

Making sense of Big Data

UiB researcher Saket Saurabh embarks on a new ERC funded project, aiming to revolutionise how we handle, utilise and compress Big Data.

Machine learning
NORA

New consortium to strengthen research and education in artificial intelligence

Norwegian research and education related to artificial intelligence, machine learning and robotics received a boost when Norwegian institutions formed the consortium NORA. The collaboration also stimulates several start-up companies within a field in rapid development.

CEDAS
Research and Higher Education Minister Iselin Nybø officially opens the new center for data science.

Opening of the Center for Data Science

To research enabling technology for the data science of tomorrow, UiB opened the new Center for Data Science (CEDAS).

*copyright main picture: colourbox.com / tilpasset av UiB / 2252 / Nmedia / Phaigraphic / Nmedia / Kiyoshi Takahese Segundo / Nmedia