Robust In-Memory Computing with Hyperdimensional Stochastic Representation

Brain-inspired HyperDimensional Computing (HDC) is an alternative computation model working based on the observation that the human brain operates on high-dimensional representations of data. Existing HDC solutions rely on expensive pre-processing algorithms for feature extraction. In this paper, we propose StocHD, a novel end-to-end hyperdimensional system that supports accurate, efficient, and r...