This thesis investigates the computing capabilities of dynamical systems within the context of data-driven machine learning. Leveraging their inherent information processing, we aim to boost dynamical systems’ efficiency and capability in solving supervised tasks.
The presentation can be followed online from the public link:
https://us06web.zoom.us/j/86285612742?pwd=0MFtRGXnHjdbvaAlQjvLMm71Fk94mI.1
Thesis supervisors: Miguel C. Soriano, Claudio R. Mirasso and Ingo Fischer
Jury:
President: Sonia Boscolo, Aston University
Secretary: Raúl Vicente Zafra, University of Tartu
Vocal: Serhiy Yanchuk, University College Cork
Detalls de contacte:
Miguel C. Soriano
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