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Machine learning is one of the hottest buzzwords in tech right now, and it generally refers to software that can improve itself based on user response. But not all developers (including Apple itself) know how to take full advantage of it.

Back in June at its Worldwide Developers Conference (WWDC) in June, Apple announced new machine learning integrations so developers could bring it into their apps. Now Apple is giving even more guidance with a Machine Learning Journal, which is all about closing that knowledge gap -- and making its own products better in the process.

The journal will be full of posts written by Apple engineers about their own work using technology for machine learning to create new products for millions of people. Right now, there's only one post titled "Improving the Realism of Synthetic Images", along with an introduction to the journal itself. There are lots of images, GIFs, and subtitles that make the article pretty easy to digest.

You can be a part of the journal as it takes off by shooting Apple an email. Especially since it's so new, the blog can benefit from the questions and feedback from researchers, students, engineers, and developers.

If Apple's outreach is successful, better machine-learning technology should begin making its way into more of your favorite Apple and non-Apple apps. Only you'll never notice -- those products will just get better, faster, and more personal, totally on their own.

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