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PRODID:-//Biomedical Mathematics Group - ECPv6.17.3.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20261002T110000
DTEND;TZID=Asia/Seoul:20261002T120000
DTSTAMP:20260829T092354Z
CREATED:20260829T052114Z
LAST-MODIFIED:20260829T092354Z
UID:13001-1790938800-1790942400@www.ibs.re.kr
SUMMARY:Reservoir Computing: Machine Learning Meets Nonlinear Dynamics - Ying-Cheng Lai
DESCRIPTION:Reservoir computing has recently been exploited to solve a variety of challenging problems in complex nonlinear dynamical systems. The speaker will review some recent works from his group in this area: predicting tipping point and critical transitions\, digital twins of nonlinear dynamical systems\, parameter and trajectory tracking\, and associative memory for complex dynamical patterns. Some open questions will be discussed. \n  \nZoom : 997 8258 4700 (pw : 1234)
URL:https://www.ibs.re.kr/bimag/event/reservoir-computing-machine-learning-meets-nonlinear-dynamics-ying-cheng-lai/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2026/08/images-e1787995413852.jpeg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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