Nyhetsarkiv for Center for Data Science

Does your work involve data science? Are you curious about research in data science in Bergen? The CEDAS conference 2021 will be a 2-day event featuring talks and discussion by leading international scientists and local experts on the interaction between data science, statistics, machine learning, and AI, as well as their applications in science and society.

What I currently think about machine learning in health, is that it will lead to better health in the world I will try to touch several issues, using examples from the literature and mine (this will be mainly breast cancer models for personalized therapy), among which bias, intelligence (the dynamic one and the hard-coded one), explain black box models (or stop using them?) and slow-AI.

The speaker will focus on the following topics: inferring topological invariants of latent structures from data, enriching dimension reduction layouts, and modeling human perception to design more trustworthy Machine Learning techniques.

In this talk, Alain Starke presents his research on energy recommender systems.

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.