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News archive for Center for Data Science

With the advances in image editing and image synthetizing techniques, a new phrase well describes the reality: “Seeing is disbelieving”. Duc Tien Dang Nguyen and his team are working to restore truth in visual media.
In this I2S seminar series lecture, Ambra Demontis will talk about how to attack machine learning systems as well as how to defense against those attacks.
The focus of this seminar will be on trajectory inference methods, a novel class of unsupervised computational techniques to model dynamic processes.
In this talk, the speaker will introduce an approach to dealing with simulator imperfection from a point of view of functional approximation that can be implemented through a certain machine learning method, such as kernel-based learning.
The talk will give an overview of computational methods for protein structure prediction.
A seminar about how distant reading and network analysis can be used to develop a big picture of cultural discourse about machine vision technologies.
The objective of the workshop is to build bridges between parameterized complexity theory and practical applications.
Data science related seminar on machine learning and visual analytics (speaker: Chaoran Fan).
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.
This meeting is being organized to facilitate collaboration between UiB researchers and NORA (Norwegian Artificial Intelligence Research Consortium) in the fields of artificial intelligence and machine learning.
This meeting is focused on kernelization, the rigorous theory of preprocessing.
On Friday the 5th of April at 10am Jürgen Bernard will give a talk at the Visual Computing Forum. The talk will take place at Lille Aud. @ Høyteknologisenteret (Thormøhlens gate 55). The title of the talk is: Enhancing Human-Centered Machine Learning with Visual Analytics.
Data science related talk by PD Dr. Steffen Oeltze-Jafra
To research enabling technology for the data science of tomorrow, UiB opened the new Center for Data Science (CEDAS).
UiB researcher Saket Saurabh embarks on a new ERC funded project, aiming to revolutionise how we handle, utilise and compress Big Data.
We consider this new project a fantastic opportunity to continue contributing high-quality visualization research to the medical field here in Bergen. Based on ten years of fruitful research, we see great benefits in cooperating interdisciplinarily to solve challenging problems that require the integration of multiple, complementary competences.