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:20261101T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260327T164852Z UID:0E455F72-4E53-4459-B09D-E83A83B3126C DTSTART;TZID=America/Los_Angeles:20260401T173000 DTEND;TZID=America/Los_Angeles:20260401T193000 DESCRIPTION:Chiplet and disaggregated architectures are rapidly becoming ma instream across applications from edge to server. Yet the resulting design complexity exceeds the capabilities of today’s tools\, flows\, and meth odologies—particularly when aiming for highly optimized solutions at sca le.\n\nAugmented Intelligence\, the combination of human expertise and mac hine intelligence\, offers a transformative approach to this challenge. By assigning strategic\, high-level decision-making to engineers and delegat ing computationally intensive\, iterative tasks to AI\, this framework ena bles multi-level and multi-domain optimization. The result is the ability to generate a far greater number of custom-optimized designs with the same resources—delivering competitive products with higher quality and faste r time-to-market.\n\nAt Intel\, in collaboration with partners\, we have d eveloped and deployed Augmented Intelligence solutions spanning silicon to system design and hardware to software design. These efforts have demonst rated efficiency gains exceeding 90% in critical areas. In this talk\, I w ill share practical examples and key insights from several years of applyi ng Augmented Intelligence to end-to-end design\, highlighting how human– AI collaboration is reshaping the path to innovation.\n\nThere will not be any recording. Please attend in person.\n\nSpeaker(s): Olena Zhu\, \n\nAg enda: \n5:30-6:15pm: Light Dinner/Social\n\n6:15: Chapter Admin and then P resentation\n\nRoom: Conf SJ5-1 Lake Tahoe\, Bldg: Building 5\, 2655 Seely Ave\, Cadence campus\, san jose\, California\, United States\, 95134 LOCATION:Room: Conf SJ5-1 Lake Tahoe\, Bldg: Building 5\, 2655 Seely Ave\, Cadence campus\, san jose\, California\, United States\, 95134 ORGANIZER:caroline.chan.us@ieee.org SEQUENCE:17 SUMMARY:Augmented Intelligence for End-to-End Design URL;VALUE=URI:https://events.vtools.ieee.org/m/539951 X-ALT-DESC:Description: <br /><p>Chiplet and disaggregated architectures ar e rapidly becoming mainstream across applications from edge to server. Yet the resulting design complexity exceeds the capabilities of today&rsquo\; s tools\, flows\, and methodologies&mdash\;particularly when aiming for hi ghly optimized solutions at scale.</p>\n<p>Augmented Intelligence\, the co mbination of human expertise and machine intelligence\, offers a transform ative approach to this challenge. By assigning strategic\, high-level deci sion-making to engineers and delegating computationally intensive\, iterat ive tasks to AI\, this framework enables multi-level and multi-domain opti mization. The result is the ability to generate a far greater number of cu stom-optimized designs with the same resources&mdash\;delivering competiti ve products with higher quality and faster time-to-market.</p>\n<p>At Inte l\, in collaboration with partners\, we have developed and deployed Augmen ted Intelligence solutions spanning silicon to system design and hardware to software design. These efforts have demonstrated efficiency gains excee ding 90% in critical areas. In this talk\, I will share practical examples and key insights from several years of applying Augmented Intelligence to end-to-end design\, highlighting how human&ndash\;AI collaboration is res haping the path to innovation.</p>\n<p>&nbsp\;</p>\n<p>There will not be a ny recording.&nbsp\; Please attend in person.</p><br /><br />Agenda: <br / ><p>5:30-6:15pm: Light Dinner/Social</p>\n<p>6:15: Chapter Admin and then Presentation</p> END:VEVENT END:VCALENDAR