BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:PDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20251102T010000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:PST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251104T170353Z
UID:520E4256-1CB5-4281-BCE3-C952D53BCD08
DTSTART;TZID=America/Los_Angeles:20251104T180000
DTEND;TZID=America/Los_Angeles:20251104T200000
DESCRIPTION:Abstract:\n\nSemiconductor Tool maintenance is a complex task d
 ue to process complexity\, process integration challenges\, and customer r
 equirements. Historically\, maintenance strategies have been reactive due 
 to these complexities. Applied Materials has been focused on moving from a
  generally reactive method of reacting to tool issues to prescriptive meth
 ods of maintaining process equipment. This migration is through a combinat
 ion of advanced anomaly detection techniques which provide low false posit
 ives\, methods of translating fail modes into Reactive Useful Life estimat
 es and ultimately prescribing solutions to issues in advance using Generat
 ive Artificial Intelligence. This discussion will cover some of the challe
 nges and solutions to this framework.\n\nSpeaker(s): Mike\, \n\nAgenda: \n
 6:00 - 6:30 - Networking and light dinner (for in person attendees)\n\n6:3
 0 - 7:30 - Talk and Q &amp; A\n\n7:30 - 8:00 - Wrap up and Networking\n\nRoom:
  SCDI 4010\, Bldg: Sobrato Campus for Discovery and Innovation\, Santa Cla
 ra University\, 500 El Camino Real\, Santa Clara\, California\, United Sta
 tes\, 95053\, Virtual: https://events.vtools.ieee.org/m/506966
LOCATION:Room: SCDI 4010\, Bldg: Sobrato Campus for Discovery and Innovatio
 n\, Santa Clara University\, 500 El Camino Real\, Santa Clara\, California
 \, United States\, 95053\, Virtual: https://events.vtools.ieee.org/m/50696
 6
ORGANIZER:palsaniya@ieee.org
SEQUENCE:131
SUMMARY:Prescriptive Maintenance in Semiconductor Manufacturing: A Shift fr
 om Reactive to Intelligent Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/506966
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Abstract:&lt;/p&gt;\n&lt;p&gt;Semiconductor Tool maint
 enance is a complex task due to process complexity\, process integration c
 hallenges\, and customer requirements. Historically\, maintenance strategi
 es have been reactive due to these complexities. Applied Materials has bee
 n focused on moving from a generally reactive method of reacting to tool i
 ssues to prescriptive methods of maintaining process equipment. This migra
 tion is through a combination of advanced anomaly detection techniques whi
 ch provide low false positives\, methods of translating fail modes into Re
 active Useful Life estimates and ultimately prescribing solutions to issue
 s in advance using Generative Artificial Intelligence. This discussion wil
 l cover some of the challenges and solutions to this framework.&lt;/p&gt;&lt;br /&gt;&lt;
 br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;6:00 - 6:30 - Networking and light dinner (for in pe
 rson attendees)&lt;/p&gt;\n&lt;p&gt;6:30 - 7:30 - Talk and Q &amp;amp\; A&lt;/p&gt;\n&lt;p&gt;7:30 - 8
 :00 - Wrap up and Networking&lt;/p&gt;
END:VEVENT
END:VCALENDAR