“Apple has long been secretive about the research done within its Cupertino, California, labs,” Dave Gershgorn reports for Quartz. “It’s easy to understand why. Conjecture can spin out of even the most benign of research papers or submissions to medical journals, especially when they’re tied to the most valuable company on the planet.”

“But it seems Apple is starting to open up about its work, at least in artificial intelligence,” Gershgorn reports. “On Dec. 6, at an invitation-only lunch at an industry AI conference, the company’s new head of machine learning, Russ Salakhutdinov, and other Apple employees gave a wide-ranging talk detailing the problems the company is using AI to tackle, according to nine slides from the presentation obtained by Quartz.”

“A bragging point for Apple was the efficiency of its algorithms on graphics processing units, or GPUs, the hardware commonly used in servers to speed processing in deep learning,” Gershgorn reports. “One slide claimed that Apple’s image recognition algorithm could process twice as many photos per second as Google’s, or 3,000 images per second versus Google’s 1,500 per second, using roughly one third of the GPUs. The comparison was made against algorithms running on Amazon Web Services, a standard in cloud computing.”

Much more in the full article – recommendedhere.

MacDailyNews Take: Anyone who underestimates Apple’s prowess in artificial intelligence, machine learning, and neural networks (connectionist systems) is a damn fool.

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