The TEACHING partners from UNIPI have co-organised an International Workshop on Deep Learning in Unconventional Neuromorphic Hardware (DLUNH) workshop of the IJCNN 2021 conference that took place on the 23rd of July 2021. The workshop intended to bring together researchers from diverse backgrounds (including Physics, Computer Science, and Engineering) to address the challenges posed by developing Deep Learning in unconventional neuromorphic hardware. It aimed at providing the ideal platform for cross-pollination of views among the diverse covered fields. During the workshop three different research works named "Towards Dynamically Modulated Reservoir Networks"; "Reservoir Computing by Discretizing ODEs" and “Phase Transition Adaptation" conducted in the frame of TEACHING have been presented and discussed by the UNIPI researchers.
