How AI and Machine Learning Work at Apple - RobotX Meetup No.35

How AI and Machine Learning Work at Apple - RobotX Meetup No.35

Apple has published several papers before to describe a technique for how to improve the training of an algorithm's ability to recognize images using computer- generated images rather than real-world images.

In machine learning research, using synthetic images (like those from a video game) to train neural networks can be more efficient than using real-world images. That's because synthetic image data is already labeled and annotated, while real-world image data requires somebody to exhaustively label everything the computer is seeing -- that's a tree, a dog, a bike. But the synthetic image approach can be problematic as what the algorithm learns doesn't always carry over neatly to real world scenes. The synthetic image data "is often not realistic enough, leading the network to learn details only present in synthetic images and fail to generalize well on real images," the paper from Apple says.

Do you want to know the newest step of Apple in AI? Do you wanna know it before you see it has been published on new iphone? Come and check out at our RobotX Space Meetup!

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• 6:30～7:30 PM Keynote: How AI and Machine Learning Work at Apple - RobotX Meetup No.31
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