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PRODID:-//Memento EPFL//
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SUMMARY:Mixed-Signal Interfaces for the Data-Driven World
DTSTART:20180903T101500
DTEND:20180903T110000
DTSTAMP:20260407T020904Z
UID:e62c14d3302029320c723383c4f3f9760a3cf2f63d538656ec91523d
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Dr. Boris Murmann\, Stanford University\nInstitute of Mi
 croengineering - Distinguished Lecture\n\nAbstract: Our insatiable demand 
 for sensing\, communication and computing has been a key driver in the rel
 entless scaling of CMOS feature sizes. However\, as the benefits of techno
 logy scaling are coming to an end\, an increasing amount of out of the box
  thinking will be required to maintain the progress slopes that we have be
 come accustomed to. In this spirit\, my talk will focus on system-driven o
 pportunities that will help improve the performance and efficiency of mixe
 d-signal interfaces. In a first set of projects\, we are looking at algori
 thms that allow us to “fool Nyquist” and implement information-centric
  digitizers. A second area of interest aims to push machine learning algor
 ithms closer to the A/D interface and benefit from mixed-signal techniques
  to lower their classification energy. Specific examples covered in this t
 alk include: Analog-to-information conversion for ultrasound imaging and n
 onlinear system ID\, always-on image and sound classification\, mixed-sign
 al accelerators for convolutional neural networks\, and an investigation i
 nto “approximate memory” for machine learning\n\nBio: Boris Murmann is
  a Professor of Electrical Engineering at Stanford University. He joined S
 tanford in 2004 after completing his Ph.D. degree in electrical engineerin
 g at the University of California\, Berkeley in 2003. From 1994 to 1997\, 
 he was with Neutron Microelectronics\, Germany\, where he developed low-po
 wer and smart-power ASICs in automotive CMOS technology. Since 2004\, he h
 as worked as a consultant with numerous Silicon Valley companies. Dr. Murm
 ann’s research interests are in mixed-signal integrated circuit design\,
  with special emphasis on sensor interfaces\, data converters and custom c
 ircuits for embedded machine learning. In 2008\, he was a co-recipient of 
 the Best Student Paper Award at the VLSI Circuits Symposium and a recipien
 t of the Best Invited Paper Award at the IEEE Custom Integrated Circuits C
 onference (CICC). He received the Agilent Early Career Professor Award in 
 2009 and the Friedrich Wilhelm Bessel Research Award in 2012. He has serve
 d as an Associate Editor of the IEEE Journal of Solid-State Circuits\, as 
 well as the Data Converter Subcommittee Chair and the Technical Program Ch
 air of the IEEE International Solid-State Circuits Conference (ISSCC). He 
 is the founding faculty co-director of the Stanford SystemX Alliance and t
 he faculty director of Stanford's System Prototyping Facility (SPF). He is
  a Fellow of the IEEE.\n\nThe event will be followed by an Apéro in the S
 V Entrance Hall\, ca. 11h30-12h30.\nThe event is coorganized with and the 
 Apéro sponsored by the IEEE EPFL Student Branch. \n 
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717
STATUS:CONFIRMED
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