EVENTS

November 07, 2024 | Berlin Open Lab (UdK + TU Berlin), Einsteinufer 42, 10587 Berlin

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.

November 14, 2024 | TU Berlin, Marchstr. 23, 10587 Berlin, Germany, Room MAR 2.057

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.

 

PUBLICATIONS

Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck

Pitfalls in Machine Learning for Computer Security

October 25, 2024
https://doi.org/10.1145/3643456

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

October 23, 2024
https://www.science.org/doi/10.1126/sciadv.adj1719 10.1126/sciadv.adj1719

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

October 18, 2024
https://ai.nejm.org/doi/full/10.1056/AIoa2400468

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