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DTSTART:20210326T030000
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DTSTAMP:20211011T071509Z
UID:9EEDA632-3872-4C2B-A661-2787EFE18240
DTSTART;TZID=Israel:20210802T100000
DTEND;TZID=Israel:20210802T113000
DESCRIPTION:The increasing demands of complexity\, flexibility and self-org
 anization of networked embedded systems require new solutions for the loca
 l processor architectures and firmware. This includes the ability to adapt
  to the requirements of an algorithm e.g. in relation to a sensor value me
 asured by an Cyberphysical System. Artificial intelligence becomes ubiquit
 ous and therefore enters also the domain of embedded systems and enables e
 normous opportunities in edge computing. This will introduce new degrees o
 f freedom in embedded and Cyberpyhsical systems and is very promising to s
 upport the aforementioned demands tremendously. In this talk\, possible so
 lutions for next generation embedded systems with AI components will be in
 troduced.\n\nMichael Huebner is a Full Professor and leads the Chair for C
 omputer Engineering at the Brandenburg University of Technology (BTU) in C
 ottbus\, Germany\, since 2018.\n\nHe is also Vice-President for research a
 nd transfer at BTU since December 2020.\n\nHe received his diploma degree 
 in electrical engineering and information technology in 2003\, his Ph.D. d
 egree in 2007 from the University of Karlsruhe (TH)\, and did his habilita
 tion in 2011 at the Karlsruhe Institute of Technology (KIT) in the domain 
 of reconfigurable computing systems.\n\nHis research interests are in reco
 nfigurable computing and particularly new technologies for adaptive FPGA r
 un-time reconfiguration and on-chip network structures with application in
  automotive systems\, incl. the integration into high-level design and pro
 gramming environments.\n\nVirtual: https://events.vtools.ieee.org/m/285156
LOCATION:Virtual: https://events.vtools.ieee.org/m/285156
ORGANIZER:shahar@ee.technion.ac.il
SEQUENCE:0
SUMMARY:Embedded Systems Design in the Era of AI - Prof. Michael Huebner\, 
 Brandenburg University of Technology (BTU)\, Cottbus\, Germany
URL;VALUE=URI:https://events.vtools.ieee.org/m/285156
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The increasing demands of complexity\, fle
 xibility and self-organization of networked embedded systems require new s
 olutions for the local processor architectures and firmware. This includes
  the ability to adapt to the requirements of an algorithm e.g. in relation
  to a sensor value measured by an Cyberphysical System. Artificial intelli
 gence becomes ubiquitous and therefore enters also the domain of embedded 
 systems and enables enormous opportunities in edge computing. This will in
 troduce new degrees of freedom in embedded and Cyberpyhsical systems and i
 s very promising to support the aforementioned demands tremendously. In th
 is talk\, possible solutions for next generation embedded systems with AI 
 components will be introduced.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Michael Huebner&lt;/strong&gt;&amp;nb
 sp\;is a Full Professor and leads the Chair for Computer Engineering at th
 e Brandenburg University of Technology (BTU) in Cottbus\, Germany\, since 
 2018.&lt;/p&gt;\n&lt;p&gt;He is also Vice-President for research and transfer at BTU s
 ince December 2020.&lt;/p&gt;\n&lt;p&gt;He received his diploma degree in electrical e
 ngineering and information technology in 2003\, his Ph.D. degree in 2007 f
 rom the University of Karlsruhe (TH)\, and did his habilitation in 2011 at
  the Karlsruhe Institute of Technology (KIT) in the domain of reconfigurab
 le computing systems.&lt;/p&gt;\n&lt;p&gt;His research interests are in reconfigurable
  computing and particularly new technologies for adaptive FPGA run-time re
 configuration and on-chip network structures with application in automotiv
 e systems\, incl. the integration into high-level design and programming e
 nvironments.&lt;/p&gt;
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