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From: Paul H. Christiansen	9/13/2018 1:38:27 PM
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Apple’s Neural Engine = Pocket Machine Learning Platform I had a hunch going into today’s Apple event that the stars of the show would be Apple’s silicon engineering team. The incredible amount of custom silicon engineering that went into making yesterday’s products is worthy of a whole post at some point. For now, I want to focus on the component that may have the most significant impact in future software design which is the neural engine. It’s first helpful to look at some specific year-over-year changes Apple made with the neural engine. In the A11 Bionic, the neural engine not only took a much smaller part of the overall SoC block, but it was integrated with some other components. It was capable of 600 billion operations per second and was a dual-core design. The neural engine in the A12 Bionic now has its dedicated block in the SoC and has jumped from two-cores to eight and is now capable of *5 trillion operations per second. At the heart of a great deal of science fiction, and the subject of many analysis I have done is the question about what happens when we can give computers eyes. This is front and center in the automotive industry since cars need to be able to see, detect, and react accordingly to all kinds of objects in the road and around them. Google Lens has shown off some interesting examples around this as well where you point your phone at an object, and the software recognizes it and gives you information. This is a new frontier of software development, and up to this point, it has been relegated to highly controlled experiences. Read More - $ - Tech.pinions*

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