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DTSTART:20250309T030000
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DTSTART:20251102T010000
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DTSTAMP:20250525T195632Z
UID:0F102449-16E2-4744-B705-25617A0F9CC6
DTSTART;TZID=America/Los_Angeles:20250522T120000
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DESCRIPTION:[]Data centers supporting the AI/ML revolution require a massiv
 e increase in interconnect bandwidth and energy efficiency. Next-generatio
 n architectures are adopting large scaled-out network designs\, driving a 
 fundamental change in optical connectivity. Silicon photonics\, leveraging
  CMOS manufacturing\, provides a scalable foundation\, and co-packaged opt
 ics is emerging as a promising solution to meet demanding data rate and po
 wer consumption targets. This presentation will explore the trends in sili
 con photonics based optics\, highlighting their potential to address the c
 hallenges of AI/ML data center networking\, including device integration\,
  reliability\, and ecosystem development.\n\nSpeaker(s): Vipul Patel\, \n\
 nVirtual: https://events.vtools.ieee.org/m/483371
LOCATION:Virtual: https://events.vtools.ieee.org/m/483371
ORGANIZER:p.wesling@ieee.org
SEQUENCE:12
SUMMARY:Trends and Challenges in Optics for AI/ML Data Center Scale-Out Net
 working
URL;VALUE=URI:https://events.vtools.ieee.org/m/483371
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;img style=&quot;float: right\;&quot; src=&quot;https://e
 vents.vtools.ieee.org/vtools_ui/media/display/c8c5c8dd-995f-4a3e-aaa1-3152
 9578085d&quot; alt=&quot;&quot; width=&quot;500&quot; height=&quot;250&quot;&gt;Data centers supporting the AI/M
 L revolution require a massive increase in interconnect bandwidth and ener
 gy efficiency. Next-generation architectures are adopting large scaled-out
  network designs\, driving a fundamental change in optical connectivity. S
 ilicon photonics\, leveraging CMOS manufacturing\, provides a scalable fou
 ndation\, and co-packaged optics is emerging as a promising solution to me
 et demanding data rate and power consumption targets. This presentation wi
 ll explore the trends in silicon photonics based optics\, highlighting the
 ir potential to address the challenges of AI/ML data center networking\, i
 ncluding device integration\, reliability\, and ecosystem development.&lt;/p&gt;
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