  The field of neuromorphic computing has been rapidly evolving in recent
years, with an increasing focus on hardware design and reliability. This
special session paper provides an overview of the recent developments in
neuromorphic computing, focusing on hardware design and reliability. We first
review the traditional CMOS-based approaches to neuromorphic hardware design
and identify the challenges related to scalability, latency, and power
consumption. We then investigate alternative approaches based on emerging
technologies, specifically integrated photonics approaches within the NEUROPULS
project. Finally, we examine the impact of device variability and aging on the
reliability of neuromorphic hardware and present techniques for mitigating
these effects. This review is intended to serve as a valuable resource for
researchers and practitioners in neuromorphic computing.
