BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20251102T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251123T203557Z
UID:CD618E6E-9699-4B74-9105-5A63BC121E3E
DTSTART;TZID=America/Chicago:20251119T080000
DTEND;TZID=America/Chicago:20251119T150000
DESCRIPTION:Register for the AI Design Challenge on the last day of the IEE
 E DMC 2025 Conference! Registration for the last day includes Breakfast\, 
 Lunch\, and Access for the AI Presentation Track in the afternoon. The AI 
 Design Challenge will be from 8am to 12pm on Wednesday\, 19Nov2025. Lunch 
 is from 12pm to 1pm\, AI Track presentations are from 1pm to 3pm.\n\nOne o
 f the central challenges in applying AI to power electronics (PE) lies in 
 developing models that can accurately perform regression and classificatio
 n tasks on highly nonlinear tabular\, time-series\, or other data. Power c
 onverters generate high-frequency\, non-linear signals influenced by switc
 hing dynamics\, thermal variations\, and control loop feedback—posing si
 gnificant hurdles for conventional PE engineering pipelines. We are embrac
 ing the new fourth paradigm in scientific findings: Data-driven paradigm. 
 Can your AI model forecast efficiency across load cycles? Classify convert
 er failures from subtle waveform shifts? Regress aging patterns from opera
 tional stress profiles? We’re organizing an AI challenge to decode the h
 idden dynamics of real-world power converters. Not to worry if you don&#39;t h
 ave programming experience or any knowledge in AI: Large language models c
 an help you with all the coding you need\, and we will organize tutorials 
 about how to leverage these tools prior to the AI challenge!\n\nThis regis
 tration is for the AI Challenge only\, if interested in attending the full
  3-Day conference\, please visit:\n\nhttps://attend.ieee.org/dmc-2025/\n\n
 []\n\nBldg: Graduate Hotel (Fayetteville)\, 70 N East Ave\, Fayetteville\,
  Arkansas\, United States\, 72701
LOCATION:Bldg: Graduate Hotel (Fayetteville)\, 70 N East Ave\, Fayetteville
 \, Arkansas\, United States\, 72701
ORGANIZER:cfarnell@ieee.org
SEQUENCE:38
SUMMARY:AI Design Challenge: IEEE DMC 2025 (Last Day)
URL;VALUE=URI:https://events.vtools.ieee.org/m/504678
X-ALT-DESC:Description: &lt;br /&gt;&lt;div id=&quot;gspb_row-id-gsbp-170d49c&quot; class=&quot;wp-
 block-greenshift-blocks-row gspb_row gspb_row-id-gsbp-170d49c&quot;&gt;\n&lt;div clas
 s=&quot;gspb_row__content&quot;&gt;\n&lt;div id=&quot;gspb_col-id-gsbp-a085b9c&quot; class=&quot;wp-block
 -greenshift-blocks-row-column gspb_row__col--12 gspb_col-id-gsbp-a085b9c&quot;&gt;
 \n&lt;p&gt;&lt;span style=&quot;mso-spacerun: yes\;&quot;&gt;Register for the AI Design Challeng
 e on the last day of the IEEE DMC 2025 Conference! &lt;/span&gt;&lt;span style=&quot;col
 or: black\;&quot;&gt;Registration for the last day includes Breakfast\, Lunch\, an
 d Access for the AI Presentation Track in the afternoon. &lt;/span&gt;&lt;span styl
 e=&quot;color: black\;&quot;&gt;The AI Design Challenge will be from 8am to 12pm on Wed
 nesday\, 19Nov2025. Lunch is from 12pm to 1pm\, AI Track presentations are
  from 1pm to 3pm.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;xmsonormal&quot;&gt;&lt;span style=&quot;color: bl
 ack\;&quot;&gt;One of the central challenges in applying AI to power electronics (
 PE) lies in developing models that can accurately perform regression and c
 lassification tasks on highly nonlinear tabular\, time-series\, or other d
 ata. Power converters generate high-frequency\, non-linear signals influen
 ced by switching dynamics\, thermal variations\, and control loop feedback
 &amp;mdash\;posing significant hurdles for conventional PE engineering pipelin
 es. We are embracing the new fourth paradigm in scientific findings: Data-
 driven paradigm. Can your AI model forecast efficiency across load cycles?
  Classify converter failures from subtle waveform shifts? Regress aging pa
 tterns from operational stress profiles? We&amp;rsquo\;re organizing an AI cha
 llenge to decode the hidden dynamics of real-world power converters. Not t
 o worry if you don&#39;t have programming experience or any knowledge in AI: L
 arge language models can help you with all the coding you need\, and we wi
 ll organize tutorials about how to leverage these tools prior to the AI ch
 allenge!&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;xmsonormal&quot;&gt;&lt;strong&gt;This registration is fo
 r the AI Challenge only\, if interested in attending the full 3-Day confer
 ence\, please visit:&lt;/strong&gt;&lt;/p&gt;\n&lt;p class=&quot;xmsonormal&quot;&gt;&lt;a href=&quot;https://
 attend.ieee.org/dmc-2025/&quot;&gt;https://attend.ieee.org/dmc-2025/&lt;/a&gt;&lt;/p&gt;\n&lt;p c
 lass=&quot;xmsonormal&quot;&gt;&lt;img src=&quot;https://events.vtools.ieee.org/vtools_ui/media
 /display/f1a2eade-1d66-4514-be9d-424733d7c3da&quot; alt=&quot;&quot; width=&quot;1027&quot; height=
 &quot;634&quot;&gt;&lt;/p&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;/div&gt;
END:VEVENT
END:VCALENDAR

