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.
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Join us at Conf42 Cloud Native 2025, where Perelyn’s Maksymilian Kalek will share practical strategies for building scalable AWS applications on a budget—without compromising performance.
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Perelyn attended E-world 2025 to explore AI’s impact on the energy sector. Engaging with industry experts, we discussed innovations, challenges, and AI-driven solutions for a smarter, more sustainable future.
