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DTSTAMP:20260708T184654Z
UID:f5fd2938-ee0e-4402-99ea-39b90e9fe082
DTSTART:20191111T073000Z
DTEND:20191112T163000Z
DESCRIPTION:Annotation\n\nToday\, Artificial Intelligence (AI) is a hot top
 ic for researchers and developers in academia and industry. In this two-da
 y course\, we consider AI to be comprised of two major fields namely Machi
 ne Learning (ML) and Deep Learning (DL). Neither are new\, but their recen
 t revival and attention was made possible by technological progress. The t
 wo-day training course will highlight this progress and get you started wi
 th what you need to know for state-of-the-art ML/DL development. We separa
 te the course into two days\, with the first covering the Intel architectu
 res related to AI\, and Nvidia on the second day\, respectively. For each 
 architecture\, hands-on Tensorflow exercises show you what DL is about and
  how to use the different hardware back-ends efficiently. After the traini
 ng is finished\, optimization of the trained DL models and their deploymen
 t to the target application/architecture is discussed. Depending on the ar
 chitecture\, it is necessary to know about different toolkits such as Open
 VINO or TensorRT.\n\nOn day 1 we also give you an introduction to ML with 
 scikit-learn and what you need to know to run it efficiently on the CPU (i
 .e. Intel Architecture). We also give you the chance to offload the traine
 d DL model to the Intel Movidius Compute Stick (inference engine) and run 
 it on your own. The training will close at the end of day 2 with a hands-o
 n with IT4Innovations' new AI clusters (Nvidia DGX-2 and Barbora). Both th
 e hands-on DL/ML exercises and access to IT4Inovations' clusters give you 
 the skills to start your own ML/DL projects more easily. Exercises use Pyt
 hon and Jupyter notebooks for convenience.\n\nLevel\n\nBeginner\n\nLanguag
 e\n\nEnglish\n\nTarget audience and Purpose of the course\n\nThe course is
  for anyone interested in Machine/Deep Learning (ML/DL) training\, optimiz
 ation and deployment on the latest Intel (i.e. CPUs\, iGPUs\, FPGAs\, NPUs
 ) and Nvidia architectures (i.e. GPUs). To avoid redundancies\, the course
  is balanced by giving a general introduction on day 1 and highlighting di
 fferences between the architectures on day 2. Participants will be given w
 orking examples for DL and ML that they can use as a starting point for th
 eir own projects. Furthermore\, the training includes a hands-on to get st
 arted with AI on IT4Innovation's clusters Nvidia DGX-2 and Barbora.\n\nAbo
 ut the tutors\n\nGeorg Zitzlsberger is a research specialist for Machine a
 nd Deep Learning at IT4Innovations. He recently received his certification
  from Nvidia as a University Ambassador of the Nvidia Deep Learning Instit
 ute (DLI) program. This certification allows him to offer Nvidia DLI cours
 es to academic users of IT4Innovations' HPC services. In addition\, in col
 laboration with Bayncore\, he is a trainer for the Intel HPC and AI worksh
 ops and conferences carried out across Europe. He has been contributing to
  these events\, which are held for audiences from industry and academia\, 
 for over two years.\n\nStephen Blair-Chappell is currently Technical Direc
 tor at Bayncore and was previously a Technical Consulting Engineer at Inte
 l for 18 years. At Bayncore he currently leads the team of consultants pro
 viding HPC and AI training on Intel Architecture.\n\nAcknowledgement\n\nTh
 e first day of the course is kindly provided by Bayncore. This work was al
 so supported by The Ministry of Education\, Youth and Sports from the Larg
 e Infrastructures for Research\, Experimental Development and Innovations 
 project ”IT4Innovations National Supercomputing Center – LM2015070” 
 and by the PRACE-6IP project - the European Union’s Horizon 2020 researc
 h and innovation programme under grant agreement No 823767.\nhttps://event
 s.prace-ri.eu/event/940/
SUMMARY:Get Started with Intel and Nvidia Artificial Intelligence Technolog
 ies @ IT4Innovations
URL;VALUE=URI:https://events.prace-ri.eu/event/940/
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