Neuromorphic architectures for edge computing under extreme environments

Brain inspired computing is widely regarded as a promising approach to achieve low power smart processing at the edge. In this work, we explore its potential to enable non-trivial computing under extreme environments, such as high temperature and high radiation, studying neuromorphic architectures capable of computing at temperatures exceeding 300°C. Building on existing capabilities, including se...