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SUMMARY:Deploying Deep Neural Networks in the Embedded Space - Dr Christos
  Bouganis\, Imperial College London
DTSTART:20180917T130000Z
DTEND:20180917T140000Z
UID:TALK109300@talks.cam.ac.uk
CONTACT:Robert Mullins
DESCRIPTION:Deep Neural Networks (DNNs) have emerged as the dominant model
  across various AI applications. In the era of IoT and mobile systems\, th
 e efficient deployment of DNNs on embedded platforms is vital to enable th
 e development of intelligent applications. In this talk I will present our
  recent work on the optimised mapping of DNNs on embedded settings\, focus
 ing on DNN-to-accelerator toolflows\, and discussing the challenges but al
 so the opportunities in applying reconfigurable computing for the realisat
 ion of intelligent embedded systems.\n\nDr Christos Bouganis is Reader in 
 Intelligent Digital Systems at Imperial College London\, and he leads the 
 Intelligent Digital Systems group (iDSL)\, a team of researchers investiga
 ting FPGA-based computing for machine learning\, computer vision\, and ima
 ge processing. He serves on several TPCs including FCCM\, FPL\, and FPT\, 
 and is a member of the editorial board of IEEE Transactions on Image Proce
 ssing\, IET Computers & Digital Techniques\, and Journal of Systems Archit
 ecture.
LOCATION: SW01\, Computer Laboratory
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