Is “Deep Learning” a Revolution in Artificial Intelligence? : The New Yorker

Excerpt from another "deep learning" snapshot (in part in response to the related recent NYT article); by Gary Marcus, who, tangentially, also recently reviewed Ray Kurzweil's latest book

"Realistically, deep learning is only part of the larger challenge of building intelligent machines. Such techniques lack ways of representing causal relationships (such as between diseases and their symptoms), and are likely to face challenges in acquiring abstract ideas like “sibling” or “identical to.” They have no obvious ways of performing logical inferences, and they are also still a long way from integrating abstract knowledge, such as information about what objects are, what they are for, and how they are typically used. The most powerful A.I. systems, like Watson, the machine that beat humans in “Jeopardy,” use techniques like deep learning as just one element in a very complicated ensemble of techniques, ranging from the statistical technique of Bayesian inference to deductive reasoning."

Is “Deep Learning” a Revolution in Artificial Intelligence? : The New Yorker