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TU Berlin Datalog Research Paper was Accepted for Presentation at LSGDA 2020

July 09, 2020

The Paper „Distributed Graph Analytics with Datalog Queries in Flink“ by TU Berlin Database Systems Reasearchers Muhammad Imran, Gábor Gévay, Volker Markl will be presented at the 2nd International Workshop on Large Scale Graph Data Analytics (LSGDA 2020) in conjunction with the 2020 VLDB Conference in Tokyo, Japan, at September 4, 2020.


TU Berlin Master’s student wins 2nd place at the SIGMOD 2020 Student Research Competition

Jul 01, 2020

TU Berlin’s student Hendrik Makait reached the 2nd place at the ACM SIGMOD 2020 Student Research Competition at the 2020 ACM SIGMOD/PODS International Conference on the Management of Data with his paper „Rethinking Message Brokers on RDMA and NVM“. This is a joint work with the Data Engineering Systems Group at the Hasso Plattner Institute in Potsdam led by Prof. Rabl.


Prof. Dr. Kutyniok coordinates new DFG priority program on artificial neural networks

Jun 18, 2020

Prof. Dr. Gitta Kutyniok is coordinator of the new DFG (German Research Foundation) priority program „Theoretical Foundations of Deep Learning“, which aims to develop a comprehensive theoretical basis for artificial neural networks.


Dr. Huziel E. Sauceda nominated Reviewer of the Month by Communications Physics

June 17, 2020

Dr. Huziel E. Sauceda, postdoctoral researcher in Prof. Dr. Klaus-Robert Müller’s group, was nominated as Reviewer of the month by the Nature Research journal Communications Physics.


Database Systems Research Paper Accepted for Publication in PLVDB Vol. 13

June 16, 2020

The Paper „Dynamic Parameter Allocation in Parameter Servers“ authored by Alexander Renz-Wieland, Rainer Gemulla, Steffen Zeuch and Volker Markl from was accepted for publication in Proceedings of the VLDB Endowment Vol. 13.


Cloud Computing contributes to Cancer Research

June 04, 2020

PCAWG, the largest cancer research consortium in the world, has set itself the task of improving our understanding of genetic mutations in tumors. A new study by the international research group, to which researchers in BIFOLD senior researcher Dr. Roland Schwarz’ group at the Max Delbrück Center for Molecular Medicine (MDC) substantially contributed, is now being published in the journal Nature.


New Research Fellow Olga Nicolaeva

June 04, 2020

Prof. Dr. Matteo Valleriani’s research group at MPIWG will expand by one research fellow: Olga Nicolaeva. In the frame of BIFOLD they will create a predictive Machine Learning model, which is able to establish a causal connection between distribution of ‚knowledge atoms‘ (illustrations, tables, text parts) in the corpus of early modern textbooks on geocentric cosmology.


Paper on Adaptive Sampling and Filtering for IoT accepted at DEBS 2020

June 02, 2020

The paper „A Survey of Adaptive Sampling and Filtering Algorithms for the Internet of Things“, authored by D. Giouroukis et al. has been accepted for presentation at the 14th ACM International Conference on Distributed and Event-Based Systems (DEBS 2020), 13. – 17. July 2020 in Montreal, Canada.


BIFOLD Researchers Receive SIGMOD 2020 Best Paper Award

May 22, 2020

Database systems researchers at TU Berlin, HPI and DFKI were highly successful this year. Four of their papers were accepted at the 2020 ACM SIGMOD/PODS International Conference on the Management of Data. And, in particular, one of the paper’s received the 2020 ACM SIGMOD Best Paper Award. The paper entitled “Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects,” by Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl (now at HPI), and Volker Markl explores the use of GPUs to accelerate database query processing.


Machine Learning meets quantum physics

May 13, 2020

BIFOLD researchers contributed to an in-depth referenced work on the physics-based machine learning techniques that model electronic and atomistic properties of matter.


Researchers in Prof. Abedjan’s group win SIMGOD Reproducibility Award

May 6, 2020

The paper „Raha: A Configuration-Free Error Detection System“ by Mohammad Mahdavi, Ziawasch Abedjan, Raul Castro Fernandez, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, and Nan Tang won the ACM SIGMOD Most Reproducible Paper Award.


Join the MICCAI 2020 CADA challenge!

April 28, 2020

This year’s MICCAI Conference on Medical Image Computing and Computer Assisted Intervention in Peru will feature Grand Challenges in biomedical image analysis. In Partnership with Charité, Fraunhofer MEVIS and Helios, BIFOLD supports the CADA challenge on the automated and semi-automated analysis of image data of cerebral aneurysms.


Three papers presented at EDBT 2020

April 14, 2020

Researchers in TU Berlin’s Database Systems and Information Management (DIMA) Group and DFKI’s Intelligent Analytics for Massive Data (IAM) Group presented three systems papers at EDBT 2020, the 23rd International Conference on Extending Database Technology, held from March 30 to April 2. Originally planned to take place in Copenhagen, Denmark, this year’s EDBT conference was held online instead.


European AI research network ELLIS established a new Unit at TU Berlin

April 14, 2020

In positive response to a request by Prof. Dr. Klaus-Robert Müller (head of the Machine Learning Department at TU Berlin and one of the directors of BIFOLD) and other scientists, the Technische Universität Berlin became part of the European AI research network European Laboratory for Learning and Intelligent Systems (ELLIS).


Four papers authored by TU Berlin and DFKI researchers have been accepted at SIGMOD 2020

March 24, 2020

Data management systems researchers in the Database Systems and Information Management (DIMA) Group at TU Berlin and the Intelligent Analytics for Massive Data (IAM) Group at DFKI (the German Research Institute for Artificial Intelligence) were informed that their papers have been accepted at the 2020 ACM SIGMOD/PODS International Conference on the Management of Data.


BIFOLD officially announced

Copyright: TU Berlin / Felix Noak

January 15, 2020

On January 15, 2020 the Berlin Institute for the Foundations of Learning and Data (BIFOLD) was officially announced at Forum Digital Technologies in Berlin. Please also see the official press release of the Federal Ministry of Education and Research and Technische Universität Berlin (both in German).