AI touch myself: Scientists create self-replicating neural network


A pair of researchers from Columbia University recently built a self-replicating AI system. Instead of painstakingly creating the layers of a neural network and guiding it’s development as it becomes more advanced – they’ve automated the process. The researchers, Oscar Chang and Hod Lipson, published their fascinating paper titled “Neural Network Quine” earlier this month, and with it a novel new method for “growing” a neural network. Chang told The Register about the team’s reasoning behind creating an AI that evolves itself: The primary motivation here is that AI agents are powered by deep learning, and a self-replication mechanism allows…

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