Inhalt des Dokuments
The DIMA Team. [1]
[2]
[3]- © DIMA
A lively group of academics, administrators, entrepreneurs, and researchers.
AI institute BIFOLD established in Berlin [4]
- [5]
- © TU Berlin / Felix Noak
The AI Competence Centers BBDC and BZML merge into the new beacon project BIFOLD.
Sundar Pichai visited TU Berlin [6]
- [7]
- © TU Berlin/PR/Felix Noak
Prof. Volker Markl and Google CEO Sundar Pichai discussed Artificial Intelligence.
From Student to IT Executive [8]
- [9]
- © Daniel Reinhardt
DIMA supports students' career plans via the Software Campus Program.
1st place in Data Science Challenge 2019 [10]
- [11]
- © DIMA
Joint TU Berlin & DFKI team awarded 1st place in the BTW 2019 Data Science Challenge
Announcement: DIMA Course Offerings for the Summer Term 2021
DIMA Course Offerings SS 2021 (Version 1.00) [12] (Last updated April 09, 2021)
„European Data Sovereignty is a critical success factor“ [13]
- Prof. Dr. Volker Markl
- [14]
- © Eric Schmidt
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?”
TU Berlin & DFKI Database Systems Researchers Receive SIGMOD 2020 Best Paper Award [17]
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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[25]
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