AI@CCTB
Artificial Intelligence at the Center for Computational and Theoretical Biology
As part of CAIDAS, we develop and apply AI-based methods for the analysis of biological data at all scales, in collaboration with other groups at the Faculty of Biology as well as with local and international partners.
Examples of AI-related research projects at the CCTB
Genomic prediction of draught tolerance with deep learning
Prof. Arthur Korte
Collaboration with the Department of Botany 1 at JMU
Model interpretability in medical image segmentation
more
Dr. Markus Ankenbrand
Ontogeny in Learning
Connecting developmental processes of animals to different models of learning such as play, reinforcement, social and memory. The methods span from single to multi-agent learning methods inspired by animal behavioural experiments.
Prof. Chaitanya S. Gokhale
If you are interested in collaborating with the CCTB, please contact the different research groups.
