News
The research topic "Modern Machine Learning Approaches for Quantitative Inference of Gene Regulation from Genomic and Epigenomic Features", in which our Chief AI Scientist, Michael Banf, played a significant role as a guest editor, was recently published in the journal Frontiers in Plant Science.
Edited in collaboration with Kangmei Zhao from the Carnegie Institution for Science and Thomas Hartwig from the Max Planck Institute for Plant Breeding Research, the research topic impressively demonstrates how modern AI technologies can effectively analyze complex biological data. It provides new insights into plant bioinformatics and opens up perspectives for the use of AI in gene regulation.
We would like to thank all those involved, whose expertise and commitment made this success possible. We hope that the articles serve as valuable resources and inspire further research.
For more information, please visit the following link: Frontiers in Plant Science - Guest Editorial.
News
The proceedings from the "AI in Production" workshop at KI2025 have been published. Among the contributions is a paper by our team on the use of the Model Context Protocol (MCP) in industrial production environments.
News
Dominik Filipiak and Michael Banf are co-authors of a community paper on the 2025 Topological Deep Learning Challenge, published in the Proceedings of Machine Learning Research. Their contributions feed into TopoBench, an open benchmarking library for the research community.
