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Deep Learning is the branch currently producing impressive breakthroughs in Artificial Intelligence (AI), especially in the field of pattern recognition. This requires powerful processors that enable the training of complex neuronal networks with large volumes of data. NVIDIA, a pioneer in the field of high performance acceleration processors, and the German Research Center for Artificial Intelligence (DFKI) have announced the expansion of their cooperation as a part of the NVIDIA AI Lab program, a cutting edge research program in the area of innovative Deep Learning methods.
Amsterdam/Kaiserslautern, 28.09.2016
NVIDIA CEO Jen-Hsun Huang announced the collaboration as a part of NVIDIA's AI Lab program in his keynote address at the GPU Technology Conference in Amsterdam on September 28, 2016. DFKI, along with Swiss AI Lab IDSIA, is the first research institute in Europe to announce a deep learning collaboration with NVIDIA. The company also works closely in this area with Stanford, Berkeley, OpenAI, and the Korean GINM. The funding for DFKI in the next four years is including a DGX-1 supercomputer. The expanded cooperation comes as a result of the existing close partnership with the DFKI Deep Learning Competence Center. DFKI was selected in June 2016 because of its outstanding research results in the area of text, image, video, and social media analysis as a GPU Research Center by NVIDIA. NVIDIA’s goal in this collaboration is to promote the pioneering work of AI researchers at the world’s leading institutes and broaden the exchanges among the leading scientists in the area of Deep Learning.
Jaap Zuiderveld, NVIDIA Vice President of Sales and Marketing EMEA: “NVIDIA is proud and delighted to collaborate with DFKI in their work to advance the field of artificial intelligence. We have committed to funding joint research projects and providing the institution with a grant of our state-of-the-art AI computing platform, the NVIDIA DGX-1. We are also supporting opportunities for faculty and students to work at NVIDIA to shape the future of AI computing platforms.“
Prof. Dr. Dr. h.c. mult. Wolfgang Wahlster, Scientific Director and CEO of DFKI: “The more hidden layers a Deep Learning network has, the better its ability to extract and detect more complex relationships and subtle characteristics in the data. However, the necessary processing power dramatically increases with each level. The teamwork with NVIDIA helps us to develop AI solutions for the next generation of autonomous systems, human-robot teams, and real-time controls for Industrie 4.0.”
Dr. Damian Borth, a research scientist from knowledge management department and head of the Deep Learning Competence Center at DFKI said, “Our goal is to shape the leading edge research in the area of machine learning, in compliance with the social relevance and responsibilities of AI. As the inventor of GPU and a pioneer in the Deep Learning revolution, NVIDIA is the perfect partner.”
Prof. Dr. Andreas Dengel, head of DFKI’s Department of Knowledge Management said, "The proverb ‘every kettle finds its lid’ applies to the cooperation between NVIDIA and DFKI. By collaborating with NVIDIA, DFKI has been given access to the best AI computers. These will further boost the development efforts in our projects involving innovative network architectures and will enable more efficient and effective processing of the huge volumes of multimedia data.”
Press contact:
DFKI Corporate Communications Kaiserslautern
Christian Heyer
German Research Center for Artificial Intelligence (DFKI)
Trippstadter Straße 122
Germany - 67663 Kaiserslautern
Email: Christian.Heyer@dfki.de
Tel.: +49 631 20575 1710
Contact DLCC:
DFKI Deep Learning Competence Center
Dr. Damian Borth
German Research Center for Artificial Intelligence (DFKI)
Trippstadter Straße 122
D-67663 Kaiserslautern
Email: Damian.Borth@dfki.de
http://dl.dfki.de DFKI Deep Learning Competence Center
http://www.nvidia.de/object/deep-learning-de.html NVIDIA Deep Learning
NVIDIA-CEO Jen-Hsun Huang announces the extension of the collaboration with DFKI
Photo: NVIDIA
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