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From: Paul H. Christiansen	10/22/2018 3:41:30 PM
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Deep Learning Is Coming Of Age In the early days of artificial intelligence, Hans Moravec asserted what became known as Moravec’s paradox: “It is comparatively easy to make computers exhibit adult-level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility.” This assertion is now unraveling primarily due to the ascent of deep learning. While AI was in its childhood in 2014, by 2020 it will reach a fundamentally different stage of maturity – it will be coming of age, primarily as a result of deep learning. This rapid and fundamental transformation across industries and fields is happening not as a product of a one-dimensional breakthrough event, but rather through the collection of advances on a number of different fronts. As datasets have become more complex over the years, DNN topologies have evolved. While in 2012 it was challenging for a neural network to distinguish cats from dogs in images, today visual AI supports real-life applications such as the identification of potentially malignant cells in 3D medical imaging. *Read More – The Next Platform*

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