Survey of state-of-the-art hardware methods

This deliverable is the outcome of the survey of state-of-the-art methods for exploiting reconfigurable architectures to accelerator AI/ML workloads with a particular focus on doing so in space. More specifically, we will look at understanding the unique requirements that operation in space demands in order to provide a remedy for them in the remaining parts of the work. In particular, we will be looking at what kind of AI/ML implementation is most suitable (e.g., spiking- or rate-based), the type of resilience that may be needed (e.g., redundancy), as well as different number representations.The outcome of this deliverable is a public report.