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DTSTART:20260308T030000
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DTSTAMP:20260428T201839Z
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DTSTART;TZID=America/Los_Angeles:20260511T100000
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DESCRIPTION:Analog/mixed-signal integrated circuits are key in applications
  where electronics interface with the physical world. The design of analog
  circuits\, however\, is time consuming and prone to errors\, often requir
 ing multiple redesign cycles. The rebirth of AI and machine learning\, and
  the recent rise of generative AI methods\, on the other hand\, create a w
 hole new spectrum of techniques to automate this process. This invited tal
 k will explore the high potential of using advanced machine learning (ML) 
 techniques to automatically synthesize and lay out analog integrated circu
 its. What is hype and what will be feasible? Will we still need analog des
 igners in the future and how will they operate?\n\nSpeaker(s): Georges Gie
 len\, \n\nVirtual: https://events.vtools.ieee.org/m/557635
LOCATION:Virtual: https://events.vtools.ieee.org/m/557635
ORGANIZER:zahra.najafi@csus.edu
SEQUENCE:7
SUMMARY:Who will design tomorrow’s analog integrated circuits: humans or 
 AI-based synthesis?
URL;VALUE=URI:https://events.vtools.ieee.org/m/557635
X-ALT-DESC:Description: <br /><p class="p1">Analog/mixed-signal integrated 
 circuits are key in applications where electronics interface with the phys
 ical world. The design of analog circuits\, however\, is time consuming an
 d prone to errors\, often requiring multiple redesign cycles. The rebirth 
 of AI and machine learning\, and the recent rise of generative AI methods\
 , on the other hand\, create a whole new spectrum of techniques to automat
 e this process. This invited talk will explore the high potential of using
  advanced machine learning (ML) techniques to automatically synthesize and
  lay out analog integrated circuits. What is hype and what will be feasibl
 e? Will we still need analog designers in the future and how will they ope
 rate?</p>
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