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DTSTART:20260308T030000
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DTSTAMP:20260921T144433Z
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DTSTART;TZID=America/Denver:20260918T100000
DTEND;TZID=America/Denver:20260918T120000
DESCRIPTION:Dr Bibhu Datta Sahoo will present various analog computing tech
 niques that could enable AI algorithms or machine learning (ML) algorithms
 . He will also discuss mixed signal computing including in-memory computin
 g and novel memory devices such as memristors to enable energy efficient c
 omputing. Dr Sahoo will present some classical analog hardware for emulati
 ng quantum algorithms like Grover's search.\n\nQuantum Computing\, having 
 the ability to exponentially enhance the raw computing power and AI having
  the ability to impart unprecedented intelligences to connected devices th
 rough algorithms that learn\, are two key technologies of the 21st century
 . Although novel devices can significantly advance the field of quantum co
 mputing\, conventional CMOS based analog and mixed signal circuits can ena
 ble quantum computing using classical op amp based circuits. AI algorithms
  on the other hand are tolerant to errors in computation\, thereby enablin
 g approximate and low-precision computing which has resulted in the resurr
 ection of more than half-a-century old analog computing.\n\nCo-sponsored b
 y: BYU \n\nSpeaker(s): Bibhu\, \n\nAgenda: \nLecture at 10am\n\nLunch to f
 ollow (we will probably serve pizza - vegetarian options included)\n\nRoom
 : 490\, Bldg: Clyde Engineering Building\, E S Campus Dr\, Provo\, Utah\, 
 United States\, 84604
LOCATION:Room: 490\, Bldg: Clyde Engineering Building\, E S Campus Dr\, Pro
 vo\, Utah\, United States\, 84604
ORGANIZER:bythewayjared@gmail.com
SEQUENCE:11
SUMMARY:Analog & Mixed Signal Circuits & Systems for Emerging Applications
URL;VALUE=URI:https://events.vtools.ieee.org/m/577669
X-ALT-DESC:Description: <br /><p>Dr Bibhu Datta Sahoo will present various 
 analog computing techniques that could enable AI algorithms or machine lea
 rning (ML) algorithms. He will also discuss mixed signal computing includi
 ng in-memory computing and novel memory devices such as memristors to enab
 le energy efficient computing. Dr Sahoo will present some classical analog
  hardware for emulating quantum algorithms like Grover's search.&nbsp\;</p
 >\n<p>Quantum Computing\, having the ability to exponentially enhance the 
 raw computing power and AI having the ability to impart unprecedented inte
 lligences to connected devices through algorithms that learn\, are two key
  technologies of the 21st century. Although novel devices can significantl
 y advance the field of quantum computing\, conventional CMOS based analog 
 and mixed signal circuits can enable quantum computing using classical op 
 amp based circuits. AI algorithms on the other hand are tolerant to errors
  in computation\, thereby enabling approximate and low-precision computing
  which has resulted in the resurrection of more than half-a-century old an
 alog computing.&nbsp\;</p>\n<p>&nbsp\;</p><br /><br />Agenda: <br /><p>Lec
 ture at 10am</p>\n<p>Lunch to follow (we will probably serve pizza - veget
 arian options included)</p>
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