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SUMMARY:Machine Learning at the  Extreme Edge - an Open Platform Approach 
 - Prof. Dr. Luca Benini\, ETH Zürich
DTSTART:20200205T150500Z
DTEND:20200205T155500Z
UID:TALK134395@talks.cam.ac.uk
CONTACT:jo de bono
DESCRIPTION:Edge ML is a megatrend\, as privacy concerns and networks band
 width/latency bottlenecks prevent cloud offloading of sensor analytics fun
 ctions in many application domains. The next revolution is  that of  "Extr
 eme Edge AI"  pushes aggressively towards sensors and actuators. In this t
 alk I will describe an Extreme Edge AI platform based on open source paral
 lel ultra-low power (PULP) Risc-V processors and accelerators\, from its a
 cademic inception to the creation of an innovation ecosystem.  I will then
  conclude looking into open challenges and opportunities in this exciting 
 field.\n\nLuca Benini holds the chair of digital Circuits and systems at E
 THZ and is Full Professor at the Universita di Bologna.\nHe received a PhD
  from Stanford University. He has been visiting professor at Stanford Univ
 ersity\, IMEC\, EPFL.\nIn 2009-2012 he served as chief architect in STmicr
 oelectronics France.\nDr. Benini's research interests are in energy-effici
 ent computing systems design\, from embedded to high-performance.\nHe is a
 lso active in the design ultra-low power VLSI Circuits and smart sensing m
 icro-systems.\nHe has published more than 1000 peer-reviewed papers and fi
 ve books.\nHe is an ERC-advanced grant winner\, a Fellow of the IEEE\, of 
 the ACM and a member of the Academia Europaea.\nHe is the recipient of the
  2016 IEEE CAS Mac Van Valkenburg award and of the  2019 IEEE TCAD Donald 
 O. Pederson Best Paper Award.\n
LOCATION:Lecture Theatre 2\, Computer Laboratory
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