idw – Informationsdienst Wissenschaft
Nachrichten, Termine, Experten
Nachrichten, Termine, Experten
Kaiserslautern/Munich, 11.10.2018 - The German Research Center for Artificial Intelligence (DFKI) is the first institution in Europe to receive an NVIDIA DGX-2, which is considered to be the world's most powerful AI supercomputer. Jensen Huang, founder and CEO of NVIDIA, presented the new AI system in his keynote speech at the GPU Technology Conference Europe (GTC) in Munich yesterday and referred to the outstanding work of DFKI in the field of satellite image analysis.
Prof. Dr. Andreas Dengel, head of the research area Smart Data & Knowledge Services at DFKI in Kaiserslautern and coordinator of the Deep Learning Competence Centre, is pleased about the growth in the server room: "With the extension of our Machine Learning computer centre by a DGX-2, we are consolidating the position of DFKI as No. 1 in the application-oriented use of Deep Learning for industrial use and creating an infrastructure for research in the field of deep learning that is unique in Europe".
One of the outstanding research projects to be further deepened with the new hardware is the analysis of satellite images for the recognition and recording of the effects of natural disasters, from which emergency and rescue forces are supported with time-critical information.
A current key topic for the development of learning and autonomous systems (and another subject of DFKI research) is the decoding of the processing paths of deep neural networks. Novel DFKI procedures are in the process of shedding light for the first time on the processes of the "black box" of deep learning and help to make their decision-making processes more comprehensible.
In addition, the new computing possibilities are intended to open up further promising potentials.
"The most powerful AI system in the world for the most complex AI challenges".
NVIDIA describes the DGX-2 as the most powerful AI system in the world designed for the most complex AI challenges, with 2 petaFLOPS of performance delivered in a single node. The supercomputer integrates 16 NVIDIA Tesla V100 Tensor Core GPUs connected via NVIDIA NVSwitch - an AI network fabric that delivers 2.5TB per second of throughput. Its revolutionary architecture enables the acceleration of new AI model types that could not previously be trained. Thanks to DGX-2, the complexity and size of neural network models are no longer limited by the boundaries of conventional architectures. More...
The expansion of the DFKI's machine learning infrastructure is being funded by the state of Rhineland-Palatinate within the framework of a joint priority for the expansion of deep learning research in Rhineland-Pfalz.
Press contact:
Christian Heyer
Head of Corporate Communications
DFKI Kaiserslautern
Phone: +49 631 20575-1710
E-mail: Christian.Heyer@dfki.de
https://www.dfki.de/web/presse/pressemitteilung/2018/DGX-2_en Press release at DFKI.de
https://blogs.nvidia.com/blog/2018/10/10/dfki-dgx-2-supercomputer/ NVIDIA blog
Intelligent satellite image analysis by DFKI supports rescuers in disaster-response scenarios like f ...
Sentinel
None
Andreas Dengel (l.) and Jensen Huang (r.) at the GTC Europe 2018
NVIDIA
None
Criteria of this press release:
Journalists
Economics / business administration, Electrical engineering, Information technology, Mathematics, Oceanology / climate
transregional, national
Research projects, Transfer of Science or Research
English
Intelligent satellite image analysis by DFKI supports rescuers in disaster-response scenarios like f ...
Sentinel
None
Andreas Dengel (l.) and Jensen Huang (r.) at the GTC Europe 2018
NVIDIA
None
You can combine search terms with and, or and/or not, e.g. Philo not logy.
You can use brackets to separate combinations from each other, e.g. (Philo not logy) or (Psycho and logy).
Coherent groups of words will be located as complete phrases if you put them into quotation marks, e.g. “Federal Republic of Germany”.
You can also use the advanced search without entering search terms. It will then follow the criteria you have selected (e.g. country or subject area).
If you have not selected any criteria in a given category, the entire category will be searched (e.g. all subject areas or all countries).
