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
Watch Max Schattauer’s insightful talk from the Prompt Engineering Conference 2024 on improving retrieval contextualization in chatbots using TextGrad, featuring strategies, real-world examples, and boosting AI system performance.
Event
Max Schattauer will present at the Prompt Engineering Conference 2024, discussing how query contextualization and prompt engineering with TextGrad improve chatbot retrieval accuracy, ensuring high-quality, industry-grade solutions and enhanced customer satisfaction.
