NEWS
Researcher Spotlight: Dr. Lisa Raithel
Dr. Lisa Raithel is working at the integration of natural language processing (NLP) and medicine. Recently completing her PhD, she dives deep into the multilingual analysis of health data to uncover the real-world effects of medications.
Explainable AI illuminates the course of history
Understanding the evolution and dissemination of human knowledge over time is a long-cherished dream of many historians. A dream that faced many challenges due to the abundance of historical materials and limited specialist resources. However, the digitization of many historical archives presents new opportunities for AI-supported analysis.
EVENTS
Utility and Bias: Connecting spaces of digital and analog research
Join the IV Symposium of the Berlin Open Lab and the Hybrid Platform on November 7, 2024. Under the title," Utility and Bias: Connecting Spaces of Digital and Analog Research", the symposium provides a stage for researchers from the Berlin Open Lab, the University of the Arts, and the Technical University to present their exciting scientific, design, and artistic projects.
BIFOLD Colloquium 13/2024
In her talk Prof. Juliana Freire, NYU, will describe strategies for finding relevant datasets on the web and deriving metadata to be indexed. Additionally, she will introduce a new class of data-relationship queries and outline a collection of methods that efficiently support various types of relationships, demonstrating how they can be used for data explanation and augmentation. In addition she will showcase Auctus, an open-source dataset search engine that her team has developed at the NYU Visualization, Imaging, and Data Analysis (VIDA) Center.
Our Mission
BIFOLD conducts groundbreaking foundational research in Big Data Management (DM) and Machine Learning (ML), as well as their intersection, to educate the talents of the future and to create high-impact knowledge.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
Pitfalls in Machine Learning for Computer Security
Oliver Eberle, Jochen Büttner, Hassan el-Hajj, Grégoire Montavon, Klaus-Robert Müller, Matteo Valleriani
Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tables
Jonas Dippel, Niklas Prenißl, Julius Hense, Philipp Liznerski, Tobias Winterhoff, Simon Schallenberg, Marius Kloft, Oliver Buchstab, David Horst, Maximilian Alber et al.
AI-Based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
GRADUATE SCHOOL
Based on a highly competitive application process, the BIFOLD Graduate School offers an innovative fast-track PhD Program for students holding a bachelor’s degree, as well as a PhD Program for students with a master’s degree.
INSTITUTIONAL PARTNERS
ASSOCIATED PARTNERS
