Join the Symposium on the Web and Internet Policy on December 09, 2020!
November 27, 2020
BIFOLD Principal Investigator Prof. Dr. Georgios Smaragdakis (Chair of the Internet Network Architectures group at TU Berlin) and Dr. Volker Stocker (Leader of the Work and Cooperation in the Sharing Economy research group at Weizenbaum Institute) are organizing a symposium on web and internet policies.
TUB Open and Distributed Systems Researchers will Offer Multiple Presentations at IEEE Big Data 2020
November 27, 2020
Three papers by researchers of the Open and Distributed Systems group at TU Berlin, led by BIFOLD Principal Investigator Prof. Dr. Odej Kao, have been accepted for presentation at the 2020 IEEE International Conference on Big Data (Big Data 2020) and related workshops. The Conference will take place from December 10 – 13, 2020.
Charité ICM Researcher Achieves First Place in the MICCAI 2020 CADA-RRE Challenge
November 26, 2020
Matthias Ivantsits of the Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine (ICM) at Charité – Universitätsmedizin Berlin was ranked first place in the CADA sub-challenge for rupture risk estimation (RRE) of cerebral aneurysms.
Fast CSV Loading Using GPUs – TUB and DFKI Paper Accepted at BTW 2021
November 26, 2020
A paper on the accelerated loading of CSV data using GPUs and RDMA by researchers from the Database Systems and Information Management Group (DIMA) at TU Berlin and the Intelligent Analytics for Massive Data (IAM) research group at DFKI was accepted at the 19th symposium “Database Systems for Business, Technology and Web” (BTW 2021), which will take place from September 20 – 24, 2021.
TUB Internet Network Research Papers Accepted at CoNEXT 2020 and COVID-19 Network Impacts Workshop 2020
November 25, 2020
Papers by researchers in the Internet Network Architectures (INET) group at TU Berlin, headed by Prof. Dr. Georgios Smaragdakis, were accepted or presentation or publication at CoNEXT 2020, COVID-19 Network Impacts Workshop 2020 and IEEE Transactions on Network and Service Management, 2020.
BIFOLD Researchers are Among the Most Cited Worldwide
November 23, 2021
BIFOLD Co-Director Prof. Dr. Klaus-Robert Müller and Principal Investigators Prof. Dr. Giuseppe Caire and Prof. Dr. Frank Noé are featured in the 2020 Highly Cited Researchers™ list, either Cross-Field or in the Computer Sciences.
Major Extension of the EDBT 2019 Best Paper by TU Berlin and DFKI Researchers Accepted for Publication in TODS
November 09, 2020
The paper “Scotty: General and Efficient Open-Source Window Aggregation for Stream Processing Systems” by J. Traub et al. was accepted for publication at ACM Transactions on Database Systems (TODS). This extended journal paper is a major extension of the EDBT best paper titled Efficient “Window Aggregation with General Stream Slicing” from 2019 by the same authors from the DIMA group and the Intelligent Analytics for Massive Data (IAM) group at DFKI. Among other extensions, the new journal paper was extended with detailed algorithm specifications, API-examples, and examples for using Scotty in different streaming systems.
Multiple Internet Network Architectures Papers presented at IMC ’20
November 05, 2020
BIFOLD’s Principal Investigators Prof. Dr. Smaragdakis, Prof. Dr. Anja Feldmann and other researchers from the Internet Network Architectures (INET) group at TU Berlin presented four papers at the 20th ACM Internet Measurements Conference (IMC ‘20), which took place from October 27 – 29, 2020 as a virtual event. Among other topics, they examined the effects of the first pandemic lockdown on Internet traffic.
“Data is the new soil!” – Interview with Prof. Markl
November 03, 2020
In an interview with the german newspaper ‘Der Tagesspiegel’, one of BIFOLD’s directors, Prof. Dr. Markl, explains necessary steps to drive Europe forward in terms of data sovereignity and innovation ecosystems.
Paper on Novel Sketch Maintenance System Accepted for Publication in PVLDB Vol. 14
October 16, 2020
The Paper “Scotch: Generating FPGA-Accelerators for Sketching at Line Rate” by Martin Kiefer, Ilias Poulakis, Sebastian Breß and Volker Markl will be featured in Proceedings of the VLDB Endowment (PVLDB), Volume 14. In their paper, the authors propose Scotch, a novel system for accelerating sketch maintenance using the custom FPGA hardware.
BIFOLD Database Systems Research Papers were Accepted at CIDR 2021
October 16, 2020
Researchers at the Database Systems and Information Management (DIMA) group at TU Berlin and the Intelligent Analytics for Massive Data (IAM) group at DFKI have been informed that their papers were accepted for presentation at the 11th Annual Conference on Innovative Data Systems Research (CIDR ’21) which will be held as a virtual event on January 11-15, 2021.
BIFOLD Research Paper on Machine Learning for Quantum Chemistry published in Nature Communications
October 16, 2020
The Paper “Quantum chemical accuracy from density functional approximations via machine learning” by Mihail Bogojeski, Leslie Vogt-Maranto, Mark E. Tuckerman, Klaus-Robert Müller, Kieron Burke was published in Nature Communications. In this paper, the authors leverage machine learning to calculate coupled-cluster energies from DFT densities, reaching much better quantum chemical accuracy on test data than achieved with previous available methods. Moreover, their approach significantly reduced the amount of training data required.
Deep Reinforcement Learning enables Robot to Beat Humans in Olympic Sport
September 25, 2020
A Deep Reinforced Learning framework, developed by BIFOLD Co-director Prof. Dr. Klaus-Robert Müller and his colleagues at the Department of Brain and Cognitive Engineering of the Korea University in Seoul, enabled the robot “Curly” to beat top-level athletes in the Olympic sport of curling. The work was recently featured in Nature Research Highlights.
Using Machine Learning to Combat the Coronavirus
September 23, 2020
A joint team of researchers from TU Berlin and the University of Luxembourg is exploring why a spike protein in the SARS-CoV-2 virus is able to bind much more effectively to human cells than other coronaviruses. Google.org is funding the research with 125,000 US dollars.
Prof. Müller Presents Berlin’s AI Research Network at ELLIS Berlin Inauguration
September 17, 2020
In a virtual inauguration event, the European Laboratory for Learning and Intelligent Systems (Ellis) network welcomed new regional network units. Prof. Dr. Klaus-Robert Müller presented the AI research network in Berlin as well as BIFOLD’s approach of combining Machine Learning and Big Data research.
TU Berlin and DFKI Database Systems Researchers Offer Multiple Presentations at VLDB 2020
September 15, 2020
Researchers at TU Berlin Database Systems and Information Management (DIMA) group and Intelligent Analytics for Massive Data (IAM) group at DFKI presented one full paper, one demo paper and three PhD thesis papers at the 46th International Conference on Very Large Databases (VLDB 2020).
Building with Molecules due to Reinforced Learning
September 15, 2020
In a cooperation between the Machine Learning group at TU Berlin, led by Prof. Dr. Klaus-Robert Müller (Co-Director BIFOLD) and Jülich’s Quantum Nanoscience institute, led by Prof. Dr. Stefan Tautz, researchers enabled a robot to selectively grip and move single molecules from a layer, by applying reinforced learning. This work was announced a Scientific Breakthrough by the Falling Walls Foundation at this years Berlin Science Week.
An Overview of the Current State of Research in BIFOLD
August 06, 2020
Since the official announcement of the Berlin Institute for the Foundations of Learning and Data in January 2020, BIFOLD researchers achieved a wide array of advancements in the domains of Machine Learning and Big Data Management as well as in a variety of application areas by developing new Systems and creating impactfull publications. The following summary provides an overview of recent research activities and successes.
Newest work on the NebulaStream System by Database Systems Researchers of TU Berlin and DFKI will be Presented at VLIoT 2020
July 16, 2020
The Paper “NebulaStream: Complex Analytics Beyond the Cloud” by Steffen Zeuch et al. was accepted for presentation at the 2020 International Workshop on Very Large Internet of Things (VLIoT 2020). VLIoT 2020 will take place in conjunction with the VLDB 2020 conference.
In this paper, the NebulaStream (NES) project team in DFKI’s IAM group and TU Berlin’s DIMA group shows why there is a need for a new End-to-End data processing systems for the Internet of Things (IoT).
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
July 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
June 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
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
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).