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DIMA Course Offerings for the Summer Term 2022
For details on DIMA course offerings, schedules and registration methods for the Sommer Term 2022, please read the DIMA Course Offerings 2022 document here: Schedule_SS_2022.pdf
Latest News
- 08/08/2022 4:15pm BIFOLD Research Colloquium: "The New DBfication of ML/AI" Arun Kumar (University of California)
- ICDE 2022 Best Demo Award at ICDE 2022
- The paper „Materialization and Reuse Optimizations for Production Data Science Pipelines“ has been accepted for publication at SIGMOD
- 06/01/2022: 2 pm - 2:30 pm. BIFOLD Research Talk: "Darwin: Scale-In Stream Processing" (Lawrence Benson, HPI)
- Three DIMA Papers Accepted for Presentation at SIGMOD 2022
- [postponed] BIFOLD Colloquium: "Storing and Analyzing Viral Sequences through Data-driven Genomic Computing" (Prof. Stefano Ceri, Politecnico di Milano)
> Past postings in the old newsfeed.
„European Data Sovereignty is a critical success factor“
On March 23, 2021, 09:00-12:00 CET, the European Committee Artificial intelligence in a Digital Age (AIDA) organized a hearing on “AI and Competitiveness”. BIFOLD Co-Director Prof. Dr. Volker Markl was invited to give an initial intervention for the second panel on “How to build a competitive and innovative AI sector? What are EU enterprises challenges in entering AI markets, by developing and adopting competitive AI solutions?”
A Workshop on Freedom and Responsibility in the IT-Sciences
Prof. Volker Markl offered a presentation "Benefits and Potential Risks in Data Analytics Research" at the the Freedom and Responsibility in IT Sciences Leopoldina Workshop.
TU Berlin & DFKI Database Systems Researchers Receive SIGMOD 2020 Best Paper Award
Database systems researchers at TU Berlin and DFKI (German Research Center for Artificial Intelligence) 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.
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