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:
Intelligent satellite image analysis by DFKI supports rescuers in disaster-response scenarios like flooding.
"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.
Head of Corporate Communications
Phone: +49 631 20575-1710
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
Christian Heyer DFKI Kaiserslautern | idw - Informationsdienst Wissenschaft
Three components on one chip
06.12.2018 | Universität Stuttgart
New quantum materials could take computing devices beyond the semiconductor era
04.12.2018 | University of California - Berkeley
What if a sensor sensing a thing could be part of the thing itself? Rice University engineers believe they have a two-dimensional solution to do just that.
Rice engineers led by materials scientists Pulickel Ajayan and Jun Lou have developed a method to make atom-flat sensors that seamlessly integrate with devices...
Scientists at the University of Stuttgart and the Karlsruhe Institute of Technology (KIT) succeed in important further development on the way to quantum Computers.
Quantum computers one day should be able to solve certain computing problems much faster than a classical computer. One of the most promising approaches is...
New Project SNAPSTER: Novel luminescent materials by encapsulating phosphorescent metal clusters with organic liquid crystals
Nowadays energy conversion in lighting and optoelectronic devices requires the use of rare earth oxides.
Scientists have discovered the first synthetic material that becomes thicker - at the molecular level - as it is stretched.
Researchers led by Dr Devesh Mistry from the University of Leeds discovered a new non-porous material that has unique and inherent "auxetic" stretching...
Scientists from the Theory Department of the Max Planck Institute for the Structure and Dynamics of Matter (MPSD) at the Center for Free-Electron Laser Science (CFEL) in Hamburg have shown through theoretical calculations and computer simulations that the force between electrons and lattice distortions in an atomically thin two-dimensional superconductor can be controlled with virtual photons. This could aid the development of new superconductors for energy-saving devices and many other technical applications.
The vacuum is not empty. It may sound like magic to laypeople but it has occupied physicists since the birth of quantum mechanics.
06.12.2018 | Event News
03.12.2018 | Event News
28.11.2018 | Event News
07.12.2018 | Life Sciences
07.12.2018 | Materials Sciences
07.12.2018 | Physics and Astronomy