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Neural networks not the answer for generalized ML, Google argues

Google has responded to criticism that machine learning and AI are still way short of human cognition despite huge progress in specified domains such as mind games, vision and natural language processing. It has published an academic paper outlining ideas for the next generation of machine learning algorithms capable of more general reasoning outside the box in which they were trained. This sounds like an expansion of current unsupervised learning techniques, and in a sense it is, but incorporating a new graphical base to support inductive reasoning. The paper then is a response to the criticism that AI is too domain specific, rather than addressing concerns over ethics or data bias. In fact, bias is discussed in the paper, but…

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