Computing with Dynamical Systems: from implementations towards novel concepts

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