The Whole Brain Architecture (WBA) project aims to create an artificial general intelligence with near human capabilities by implementing brain regions using machine learning algorithms and connecting them according to the architecture of the brain. To encourage the community based development of WBA, we are implementing BriCA (Brain-inspired Computing Architecture) which can connect and execute an arbitrary number of machine learning components. In this presentation I will introduce the requirements analysis, concepts, implementation status, and future work for the core features of BriCA.
