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SCALABLE DATA ANALYTICS
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Kick-off event „Dimensions of Artificial Intelligence“

In cooperation with Dresden-concept, the digital kick-off event of the Scientific Area Network (SAN) "Dimensions of Artificial Intelligence" will take place on 16 July from 13:30 to 16:00. The programme offers a variety of interesting talks and presentations from different scientific institutions. Please register in advance.

The SAN provides an interdisciplinary perspective on the methodological and technological dimensions of artificial intelligence (AI) as a new key technology. For several years, AI has been experiencing a strong increase in attention in research, business, culture, and the media. At the same time, AI is also assuming an increasingly important role in government action. The Study Commission “Artificial Intelligence – Social Responsibility and Economic, Social and Ecological Potentials” of the German Bundestag suggests that AI development should not only serve economic goals but also socially progressive purposes, e.g., in the areas of health, education, traffic change, climate change and participation, or especially highly topical in the management of pandemics. Due to its social relevance, a responsible approach to AI must be considered at the same time. This includes, among other things, the traceability of the results of AI methods, the protection of privacy and questions of data sovereignty as well as the protection of minorities.

At the kick-off event, researchers from DRESDEN-concept partner institutions will present pertinent results. The SAN will be held in English. After the kick-off event, follow-up meetings will be held in order to intensify networking aimed at initiating research projects.

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DRESDEN-concept – a worldwide unique alliance of science of culture, situated on the forefront of the science hub Dresden. The development and use of synergies in the fields of research, education, infrastructure and administration is the focus of this unique cooperation of research and culture institutions in Dresden.

The partners coordinate their scientific strategy and identify the areas in which Dresden is an international leader in order to attract internationally recognised researchers to Dresden. By networking across institute and subject boundaries, DRESDEN-concept offers researchers an ideal location for innovation and science. The close proximity of the partners, the sustainable use of infrastructures within the alliance and the establishment of research focal points make Dresden one of the best-known science locations.

Sebastian Gemkow, Saxony's State Minister for Science, Culture and Tourism, visited Leipzig to inform himself about current research results and transfer in the field of smart logistics

Invited by the ScaDS.AI, the InfAI and the University of Leipzig, the Saxon Minister for Science, Culture and Tourism, Sebastian Gemkow, visited the Logistics Living Lab in Leipzig last Thursday, July 01. The event focused on the exchange of current research results and the transfer in the field of smart logistics.
Main focus was on the use and research of digital and data-driven technologies.

In addition to Prof. Dr. Bogdan Franczyk,  first chairman of InfAI e.V., the prorector for development and transfer of the University of Leipzig, Prof. Dr. Thomas Lenk, welcomed the minister. After a guided tour through the Logistics Living Lab's space, joint research topics of different institutions in Leipzig were presented in short impulse keynotes. In his presentation, Andreas Heinecke, the managing director of the InfAI, presented the work of the Institute for Applied Computer Science, with a focus on transfer work. Prof. Dr. Erhard Rahm, who was present in the dual role of scientific coordinator of ScaDS.AI Leipzig/Dresden and as an assessor of the InfAI board, provided information about the broad work of the Leipzig Center for Scalable Data Analytics and Artificial Intelligence as well as the close cooperation with the InfAI in the area of transfer. Martin Schieck then provided insights into EXPRESS, a project for data-driven networking and digitalization in the area of agriculture. Further, Robert Wehlitz gave a keynote presentation on the SENERGY project (Smart Services for the Energy Industry), while Dr. Jan Bumberger, Scientific Coordinator for Research Data Management and Working Group Leader in Environmental Sensor and Information Systems at the UFZ, gave an overview of the research program of the Leipzig Helmholtz Center for Environmental Research.

In addition to the various exciting insights into Leipzig's research community, current developments in the field of digitization as well as funding and support opportunities for research in the area of third-party funding and for affiliated institutes were discussed in a relaxed atmosphere. Since the topic transfer plays a key role, it was agreed that a more in-depth exchange with the Minister and other stakeholders from this area should take place. Preparations to this end are already ongoing.

 

 

ScaDS.AI Living Lab lecture series

“Ethics and Moral Code in Artificial Intelligence” by Rita Jordan, Niklas Lange, and Franz Lehr 

On July 1, 2021, the first lecture from the Living Lab lecture series took place as an online event. ScaDS.AI researchers Rita Jordan, Niklas Lange and Franz Lehr presented the topic of ethics and morality in AI to a broad audience. The recording can be seen here: https://youtu.be/wxQAuBHW194.

Franz, who is conducting research under the supervision of Prof. Dr. Anne Lauber-Rönsberg on "Transparency as a fundamental principle of trustworthy AI: regulatory frameworks", started the talk with an introduction to the topic and highlighted the key factors for transparency and trustworthiness of AI technologies.

Rita, who is working on "Law and Design: A Constitutional and Political Theory Perspective of the 'Privacy by Design' Approach in Relation to Big Data and AI" at the chair of Prof. Dr. Sabine Müller-Mall, continued the talk from a different perspective and explained how regulation can support the idea of 'Privacy by Design' and protect the rights and privacy of end users.

Niklas, who also works under the supervision of Prof. Dr. Sabine Müller-Mall on the topic of "Algorithmic Discrimination and the Possibilities of Its Regulation", addressed the topic of ethics and morality in AI from a different perspective; he explained how machine learning models can be biased and how we can regulate and prevent decisions based on biased assumptions.

The talk ended with a lively discussion session. Thank you for your interesting questions!

The next lecture will be on "Temporal Graph Analysis" on August 5, 2021.

To be informed about upcoming Living Lab events, please subscribe to the Living Lab mailing list:

https://mailman.zih.tu-dresden.de/groups/listinfo/livinglab

We are looking forward to your participation and questions!

Stay tuned! 

 

 

 

ISC2021 - With Alpha Centauri placement, virtual stand and exciting presentations

182nd place in the 57th Top500 list for our new HPC cluster - the "Alpha Centauri" system

In the Top500 spring list of the world's fastest supercomputers, traditionally published at the ISC High Performance (ISC), the Alpha Centauri system installed at the Center for Information Services and High Performance Computing (ZIH) of the TU Dresden reached 182nd place, putting the supercomputing cluster of the Technische Universität Dresden in 17th place in Germany. The special feature of this ranking is that our cluster made it into the current list with only 34 very powerful compute nodes. When procuring this expansion, the focus was not only on pure computing power, but also on meeting the very specific requirements of users in the field of AI and machine learning (ML).

The heart of the HPC cluster and decisive for the computing power are the 272 NVIDIA A100 GPUs, eight of which are contained in each compute node. Their theoretical maximum performance for floating-point operations is more than 2.6 PFlop/s for 64-bit (double precision), more than 5.3 PFlop/s for 32-bit (single precision) and more than 42 PFlop/s for FT32-to-FP32 tensor operations. In addition, each node has a 1 TB main memory and 3.2 TB local NVMe cache to quickly supply the GPUs with data. The fast connection to the central HPC storage complex is provided by two HDR Infiniband cards each with 400 Gbit/s network bandwidth at very low latency. The maximum power consumption of a node is 4.8 kW. Direct hot water cooling (DLC) ensures high energy efficiency while utilising the waste heat. (https://tu-dresden.de/zih/news/zih-ki-cluster-2021)

The system, which went into operation at the end of February, was provided by NEC Deutschland GmbH (https://www.scads.de/de/aktuelles/news/641-tu-dresden-nimmt-neuen-ki-cluster-von-nec-in-betrieb). However, free capacities are also available to research throughout Germany as part of the National High Performance Computing (NHR), for which the ZIH has been funded by the federal government and the Free State of Saxony as one of eight locations since January 2021 (https://tu-dresden.de/zih/news/nhr-am-zih-der-tud).

"In view of the exploding HPC and analysis needs in more and more scientific application areas - but especially due to the expected further growth in terms of data volume, size and complexity of these applications - ZIH must continuously increase the performance of its computing infrastructure with the help of the latest technologies, while also constantly rethinking the design of its computer architecture. With the requirements of our AI competence centre ScaDS.AI and the close cooperation of HPC, Big Data, performance, I/O experts, etc., with permanent direct feedback to the various disciplines, the challenge remains to efficiently exploit the performance of these systems using suitable methods," summarises Prof. Wolfgang E. Nagel, head of the ZIH and scientific spokesperson of ScaDS.AI Dresden/Leipzig, with regard to the current Top500 ranking.

The new supercomputing cluster was integrated into the existing powerful HPC infrastructure of the ZIH. In addition to the specialised HPC resources, we offer our users individual support and comprehensive advice on how to use the systems efficiently for scientific research. The ZIH continuing education programme is currently being massively expanded in close coordination with the other NHR locations. Dedicated formats are being developed for the ZIH methodological focus areas of Big Data and data analysis and management, machine learning, tiered storage architectures and I/O optimisation, as well as performance and energy efficiency analysis and optimisation, which are scheduled to begin this summer.

ScaDS.AI Dresden/Leipzig and the ZIH present themselves with a virtual stand and scientific contributions

With this very real Top500 placement, the ZIH can round off its otherwise unfortunately only virtual trade fair presence at this year's ISC. At the virtual booth, we will present a broad spectrum of our current work in the areas of high-performance computing, machine learning and high-performance data analytics, which we will underpin in the scientific ISC programme with numerous virtual conference contributions on the main topics of our research, from AI, machine learning and data analytics, to performance analysis of HPC applications, to the presentation of the performance tools we have developed, as well as an LLVM compiler workshop.

To the virtual ZIH booth: https://booth.zih.tu-dresden.de

ZIH contributions to the scientific conference program (https://www.isc-hpc.com/schedule.html): 

  • "Hands-on Practical Hybrid Parallel Application Performance Engineering", tutorial with Bill Williams (ZIH) on 24 June, from 14:00 hrs.
  • "Guidelines for HPC data centre monitoring and analytics framework development", BoF session with Thomas Ilsche (ZIH) on 30 June, starting at 14:00
  • "Performance Analysis for new HPC programming models", Focus presentation by Andreas Knüpfer (ZIH) on 1 July, starting at 15:35
  • "4th HPC Applications in Precision Medicine Workshop" by Andreas Deutsch (ZIH) on 2 July, starting at 2:00 p.m.
  • "Machine Learning on HPC Systems", workshop with Sunna Torge (ZIH) and Peter Winkler (ZIH) as well as Nico Hoffmann (TU Dresden) on 2 July, starting at 2:00 p.m.
  • "LLVM-CTH: The Second Workshop on LLVM Compiler and Tools for HPC" with Anja Gerbes (ZIH) on 2 July, starting at 2:00 p.m.


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About the ZIH

The ZIH is the university IT centre of the TU Dresden. For more than 20 years, it has operated HPC systems as a centre of excellence for high-performance computing - always with a focus on data-intensive applications. Since the beginning of 2021, ZIH has been one of eight NHR centres in the "National High Performance Computing" initiative of the Joint Science Conference (GWK) and the German Research Foundation (DFG), thus supporting academic research throughout Germany.

👉 Stellenausschreibungen

Wir suchen drei studentische oder wissenschaftliche Hilfskräfte am Standort Leipzig. In folgenden Schwerpunkten liegen Ihre zukünftigen Tätigkeiten:

  • Einsatz von KI-Methoden am Anwendungsfall der additiven Fertigung

  • Document Layout Analysis und Recognition mit Machine Learning/KI

  • Frontend-Entwicklung für die entstehende Datenhandelsplattform DE4L

Was Sie erwartet?

  • Eine dynamisches, weltoffenes Team an einem von sechs deutschen KI-Forschungszentren
  • Sammeln Sie Erfahrung als Wissenschaftskommunikator*in
  • Unterstützen Sie den Ausbau des ScaDS.AI Dresden/Leipzig zu einem führenden deutschen Kompetenzzentrum für Big Data, Data Analytics und Künstliche Intelligenz

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