Corey Jaskolski is the founder and CEO of Synthetaic, the leading synthetic data company for impossible AI. It's a common misconception that most businesses are drowning in data and that AI is spoiled for choice when it comes to training data. The truth is that despite the big data boom, most businesses still lack the quantity of high-quality data they need, and it's holding back the development of the highest-value AI applications. Current AI research is yielding phenomenal results, but the AI beating the world's best players at Go or outperforming human lip readers are the exception, not the rule. AI keeps getting better by training on increasingly massive models, some of which have a billion tunable parameters.

The most remarkable thing about shopping in a smart store is how unremarkable it feels -- once you get over the whole no-checkout thing, of course. At the same time, there's a whole mess of complex computer vision modeling going on all around you to facilitate the experience. Those models have to be sophisticated enough to handle all manner of image challenges: object recognition, activity recognition, pose estimation. Asking a system to differentiate between two similar bags of chips, grabbed by people in similar coats and gloves, with no margin for error, is a big ask. Getting it right requires data.

Earlier this month, Apple made a splash when it told the artificial intelligence research community that the secretive company would start publishing AI papers of its own. Not even a month later, it's already starting to make good on that promise. Apple has published its very first AI paper on December 22. (The paper was submitted for publication on November 15.) The paper describes 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.

Earlier this month, Apple made a splash when it told the artificial intelligence research community that the secretive company would start publishing AI papers of its own. Not even a month later, it's already starting to make good on that promise. Apple has published its very first AI paper on December 22. (The paper was submitted for publication on November 15.) The paper describes 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.

Earlier this month, Apple made a splash when it told the artificial intelligence research community that the secretive company would start publishing AI papers of its own. Not even a month later, it's already starting to make good on that promise. Apple has published its very first AI paper on December 22. (The paper was submitted for publication on November 15.) The paper describes 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.

The Apple logo is displayed at the Apple Store June 17, 2015 on Fifth Avenue in New York City. Earlier this December, Apple created a noise when they express the artificial intelligence (AI) research community that the secretive company will start making AI papers of its own. A month later, Apple is already starting to keep their promise. Apple revealed its very first AI paper last December 22. The AI paper was submitted last November 15 for publication.

Earlier this month, Apple made a splash when it told the artificial intelligence research community that the secretive company would start publishing AI papers of its own. Not even a month later, it's already starting to make good on that promise. Apple has published its very first AI paper on December 22. (The paper was submitted for publication on November 15.) The paper describes 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.

Earlier this month, Apple made a splash when it told the artificial intelligence research community that the secretive company would start publishing AI papers of its own. Not even a month later, it's already starting to make good on that promise. Apple has published its very first AI paper on December 22. (The paper was submitted for publication on November 15.) The paper describes 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.

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.

Earlier this month, Apple made a splash when it told the artificial intelligence research community that the secretive company would start publishing AI papers of its own. Not even a month later, it's already starting to make good on that promise. Apple has published its very first AI paper on December 22. (The paper was submitted for publication on November 15.) The paper describes 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.