BEGIN:VCALENDAR
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PRODID:-//Biomedical Mathematics Group - ECPv6.17.3.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Biomedical Mathematics Group
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
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20261007T160000
DTEND;TZID=Asia/Seoul:20261007T170000
DTSTAMP:20260829T092657Z
CREATED:20260829T052624Z
LAST-MODIFIED:20260829T092657Z
UID:13005-1791388800-1791392400@www.ibs.re.kr
SUMMARY:Physical reservoir computing and beyond - Kohei Nakajima
DESCRIPTION:Modern computing has been fundamentally built upon the separation of hardware and software. This separation has enabled programs to be replicated and executed on interchangeable hardware\, making computation effectively “immortal.” In contrast\, recent approaches to physical computing seek to exploit the intrinsic dynamics of physical systems as computational resources\, thereby crossing the abstraction layers that traditionally separate hardware from computation. Such computation is inherently tied to its physical substrate and can therefore be regarded as “mortal computation” (Hinton\, 2022). \nIn this talk\, I will introduce physical reservoir computing (PRC) as a representative framework for mortal computation\, in which the intrinsic dynamics of physical systems perform information processing (Nakajima 2020). I will discuss how diverse physical substrates—including soft robots\, neuromorphic devices\, and living systems—can serve as computational resources\, and how their embodiment can be exploited for sensing\, computation\, and control. I will then extend this perspective beyond reservoir computing to physicalizing deep learning\, where not only inference but also learning processes are implemented in physical substrates. In particular\, I will introduce a gradient-free approach to physical deep learning and discuss recent efforts to physicalize learning in neuromorphic devices and soft robots. \nThrough these examples\, I will argue that physicalizing computation is not merely a strategy for developing energy-efficient and task-specific computing systems. It also provides a new perspective on intelligence and learning in systems whose physical dynamics are intrinsically time-varying\, adaptive\, and ultimately mortal. \n  \nZoom : 997 8258 4700 (pw : 1234)
URL:https://www.ibs.re.kr/bimag/event/physical-reservoir-computing-and-beyond-kohei-nakajima/
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/artworks-OxsgF0kW6Jd7athY-T73SEA-t500x500-e1787995608534.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20261009T100000
DTEND;TZID=Asia/Seoul:20261009T120000
DTSTAMP:20260830T063148Z
CREATED:20260824T001413Z
LAST-MODIFIED:20260830T063148Z
UID:12985-1791540000-1791547200@www.ibs.re.kr
SUMMARY:Ptolemy's Equant Equates to a Universal Dynamical Clock via Machine Learning - Gyuyoung Hwang
DESCRIPTION:In this talk\, we discuss the paper “Ptolemy’s Equant Equates to a Universal Dynamical Clock via Machine Learning” by Jindong Zhang et al.\, arXiv\, 2026. \nAbstract: \nOscillatory dynamics arise ubiquitously in nonlinear systems\, yet identifying a physically interpretable phase and phase dynamics in nonlinear\, high-dimensional oscillations remains a central unresolved problem. Here we establish the principle of a universal dynamical clock\, a physical perspective in which oscillations of arbitrary dimensionality and geometry are equivalently represented as uniform rotation through an equant-induced nonlinear viewing coordinate\, inspired by Ptolemy’s equant and formalised through an areal-uniformity principle reminiscent of Kepler’s second law. Using a machine-learning framework\, we demonstrate the existence of such an equant for a broad class of oscillatory dynamics and construct the associated dynamical clock and phase dynamics under additive forces\, including noise\, periodic perturbations\, and coupling. Its value in uncovering new physical rules and phenomena is demonstrated by four findings: (i) collective oscillations in Escherichia coli populations obey a previously unexplained superlinear scaling law\, resolving a long-standing open problem posed in 2004; (ii) the response mechanisms of engineered genetic circuits to changes in gene expression and environmental conditions; (iii) a classical-mechanics counterpart of the Berry geometric phase emerges naturally from the phase of the dynamical clock; and (iv) optimal equant non-uniformity provides a geometric early-warning signal for critical transitions and enables prediction of critical parameters. By providing operational and system-agnostic phase dynamics that can be constructed directly from data\, the dynamical clock enables principled classification\, comparison\, and control of oscillatory systems\, and offers a new route to understanding how specific dynamical regimes support distinct functional behaviours in networked systems
URL:https://www.ibs.re.kr/bimag/event/ptolemys-equant-equates-to-a-universal-dynamical-clock-via-machine-learning-gyuyoung-hwang/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20261104T160000
DTEND;TZID=Asia/Seoul:20261104T170000
DTSTAMP:20260829T093240Z
CREATED:20260829T054752Z
LAST-MODIFIED:20260829T093240Z
UID:13017-1793808000-1793811600@www.ibs.re.kr
SUMMARY:Using Disease Trajectories for Early Detection of Disease - Søren Brunak
DESCRIPTION:Abstract: TBD \nZoom : 997 8258 4700 (pw : 1234)
URL:https://www.ibs.re.kr/bimag/event/using-disease-trajectories-for-early-detection-of-disease/
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-3-e1787995921885.jpeg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20261127T110000
DTEND;TZID=Asia/Seoul:20261127T120000
DTSTAMP:20260829T092806Z
CREATED:20260829T053051Z
LAST-MODIFIED:20260829T092806Z
UID:13009-1795777200-1795780800@www.ibs.re.kr
SUMMARY:Using stochastic calculus to study tethered molecular reactions - Jun Allard
DESCRIPTION:Abstract: TBD \nZoom : 997 8258 4700 (pw : 1234)
URL:https://www.ibs.re.kr/bimag/event/using-stochastic-calculus-to-study-tethered-molecular-reactions-jun-allard/
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-1-e1787995675474.jpeg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20261202T160000
DTEND;TZID=Asia/Seoul:20261202T170000
DTSTAMP:20260829T092901Z
CREATED:20260829T053347Z
LAST-MODIFIED:20260829T092901Z
UID:13013-1796227200-1796230800@www.ibs.re.kr
SUMMARY:TBD - Katarzyna Wac
DESCRIPTION:Abstract: TBD \nZoom : 997 8258 4700 (pw : 1234)
URL:https://www.ibs.re.kr/bimag/event/tbd-katarzyna-wac/
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-2-e1787995720632.jpeg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
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