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SUMMARY:Machine Learning for the benefit of Engineering - Dr Stephan Walde
 rt\, Arm
DTSTART:20190221T131500Z
DTEND:20190221T141500Z
UID:TALK120058@talks.cam.ac.uk
CONTACT:Jan Samols
DESCRIPTION:Advanced energy-efficient technologies (hardware and software)
 \, are at the heart of a computing and connectivity revolution that is tra
 nsforming the way people live and businesses operate. Development of these
  technologies is based on ever more complex engineering concepts and workf
 lows\, producing vast amounts of data.\n\nArm applies Data Science / Machi
 ne Learning to exploit these data\, enable data-driven decisions\, advance
  technology and improve the efficiency and effectiveness of engineering wo
 rkflows. \n\nThis talk is about the opportunities of utilising machine lea
 rning in engineering to reduce product development cost/effort\, reduce ti
 me to market\, and enable better technology.\n\nSpeaker bio: Dr Stephan Wa
 ldert is a Principal Data Scientist at Arm\, where he leads the Machine Le
 arning team working on Arm’s engineering challenges since 2017. Prior to
  this he spent many years as a Senior Researcher at the University College
  London. His researched focused on Brain-Computer Interfaces\, a combinati
 on of brain\, hardware\, software and machine learning that permits brain 
 activity alone to control computers or external devices.\n
LOCATION:FW11\, Computer Laboratory
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