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.
Event
Perelyn has recently hosted a four-day conference in Warsaw for employees that focused on robotics, AI and product development and reinforced the company's commitment to ensuring its competitiveness in the fast-moving technology industry.
News
Our team achieved 2nd and 3rd place at the ICML 2024 Topological Deep Learning Challenge with a hypergraph-based solution optimizing information flow in large-scale networks, highlighting our expertise in advanced AI research.
