Apple Publishes Its First Artificial Intelligence Paper | Artificial intelligence

In machine research, using synthetic images (like those from a game) to train neural networks can be more efficient than using real-world images. That’s because synthetic image is already labeled and annotated, while real-world image requires somebody to exhaustively label everything the 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 “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.

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