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  • Reservoir Computing: Machine Learning Meets Nonlinear Dynamics – Ying-Cheng Lai

    B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic of

    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 …

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  • Physical reservoir computing and beyond – Kohei Nakajima

    B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic of

    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 …

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  • Ptolemy’s Equant Equates to a Universal Dynamical Clock via Machine Learning – Gyuyoung Hwang

    B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic of

    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. Abstract: Oscillatory 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 …

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  • TBD – Katarzyna Wac

    B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic of

    Abstract: TBD Zoom : 997 8258 4700 (pw : 1234)