The recent commercial AI revolution has been largely driven by deep neural networks. First invented in the 1960s, deep NNs came into their own once fueled by the combination of internet-scale datasets and distributed GPU farms. But the field of AI is much richer than just this one type of algorithm. Symbolic reasoning algorithms such as artificial logic systems, also pioneered in the ’60s, may be poised to emerge into the spotlight — to some extent perhaps on their own, but also hybridized with neural networks in the form of so-called “neural-symbolic” systems. Weaknesses of deep neural networks Deep…

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Source:: The Next Web – Technology


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