NEWS
Project Launch AIgenCY
With the innovative research project "AIgenCY - Opportunities and Risks of Generative AI in Cybersecurity," leading experts from academia and industry take on the challenge of exploring the implications of generative artificial intelligence (AI) for cybersecurity.
Sustainable Federated Learning
Federated Learning is expected to further increase the power consumption of machine learning, which is already recognized as one of the most energy-intensive computational applications today. However, due to its distributed nature, Federated Learning also offers new opportunities to align this demand with the availability of green energy.
EVENTS
Workshop: Machine Learning and Data Management in Earth Observation
The 2-day BIFOLD workshop Machine Learning and Data Management for Earth Observation aims to explore the emerging methods, approaches and systems in the context of Data Management and Machine Learning for EO. In addition to keynote and spotlight talks of renowned speakers in their fields, this workshop includes poster presentations and a panel discussion exploring challenges and determining future directions in Data Management and Machine Learning for Earth Observation.
A transformer-based Framework for Multivariate Time Series Representation Learning
Georgios Zerveas earned his PhD in Computer Science at Brown University. In his talk, he will introduce the first transformer-based framework for unsupervised representation learning of multivariate time series (MTS).
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
Prof. Dr. Volker Markl, Dr. Eleni Tzirita Zacharatou, Dr. Steffen Zeuch
Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies
Prof. Dr. Volker Markl, Dr. Steffen Zeuch, Dwi Nugroho, Philipp M. Grulich
Benchmarking Stream Join Algorithms on GPUs: A Framework and Its Application to the State of the Art
Dr. Stephanie Brandl, Dr. Oliver Eberle
Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations
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.