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Dynamics of physical reservoir computing: synchronization, the edge of chaos, delay and remote synchrony

主 讲 人 :Thomas Geert de Jong    助理教授

活动时间:05月13日16时00分    

地      点 :伟德bv1946D203报告厅

讲座内容:

Computing in silica comes with drawbacks, including high energy consumption, susceptibility to critical failures in extreme environments, such as high-radiation areas, as well as computational speed limitations which can be troublesome when processing real-time photonic data.  This has sparked significant interest in discovering alternative physical systems that can overcome these limitations. A framework that overcomes this is physical reservoir computing as it allows us to directly harness the computational capabilities of a physical system without requiring a specific architecture which greatly reduces engineering overhead.

In this talk we present a variety of physical systems that can be harnessed as computational devices using the reservoir computing framework. We first present the twin vortex [1] and soft-body [2] reservoir computer pioneered by my collaborators Kohei Nakajima and Hirofumi Notsu, respectively. Then we turn to a general framework that allows us to utilize coupled oscillators as a reservoir computer [3,4] (we shall focus on Kuramoto oscillators). We explore the underlying dynamics that gives rise to the computational capabilities of these systems.

This talk concerns work with Hirofumi Notsu (Kanazawa U), Kohei Nakajima (U of Tokyo), Sadique Rehman (Kanazawa U), Yuriko Fujihara (Kanazawa U), Alessandro Corbetta (TU Eindhoven), Eddie Nijholt (U of Sao Paolo).


主讲人介绍:

Thomas Geert de Jong earned his PhD in Biomathematics from TU Eindhoven. Following a postdoctoral fellowship at Xiamen University focusing on the intersection of mathematics and AI, Thomas Geert de Jong joined Kanazawa University to work on theoretical frameworks for physical reservoir computing, a position that concluded last month. Currently, Thomas Geert de Jong serves as an adjunct assistant professor at Temple University, Tokyo Campus, and a visiting assistant professor at Duke Kunshan University. His main research interests center on computing dynamics and using dynamics to compute (https://mathowl.github.io/tgdejong/).