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SUMMARY:Low-power embedded event-based vision processing for low-latency r
 obotics - Jörg Conradt\, KTH Stockholm\, Sweden
DTSTART:20250206T140000Z
DTEND:20250206T150000Z
UID:TALK228127@talks.cam.ac.uk
CONTACT:Fulvio Forni
DESCRIPTION:Brain inspired information processing in hardware and in softw
 are - or “neuromorphic computing” - opens a possible path to real-time
 \, low-energy computation. Today\, various neuromorphic computing systems 
 are available as customizable hardware for small or large applications\, f
 rom single chips to computer server rooms. For efficient use of such novel
  hardware\, we need to rethink computation in terms of event-based or spik
 ing neuromorphic algorithms\, instead of traditional sequential (CPU) or p
 arallel (GPU) computing. In this presentation\, I will first briefly intro
 duce the concepts of neuromorphic computing\, including a quick overview o
 f present and upcoming neuromorphic hardware for sensing and computation. 
 Following\, I will show and discuss multiple application examples of event
 -based sensing and perception\, leading a path towards closed-loop actuate
 d robotic systems.\n\nThe seminar will be held in the JDB Seminar Room \, 
 Department of Engineering\, and online (zoom): https://newnham.zoom.us/j/9
 2544958528?pwd=YS9PcGRnbXBOcStBdStNb3E0SHN1UT09
LOCATION:JDB Seminar Room\, Department of Engineering and online (Zoom)
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