Apple started a blog called Apple Machine Learning Journal. Immediately after the launch, two posts appeared on the blog, with the welcome article providing a more detailed look at what the blog will focus on, and the second article dealing with a specific topic. Apple talks about how synthetic images can be enhanced to make them look more realistic.
The Cupertino company describes its blog as a place where users can read posts written directly by engineers. Engineers will write primarily about their work and advances in technology.
In the welcome article Apple invites those interested in machine learning to contact the company at the email address machine-learning@apple.com.
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“Welcome to Apple Machine Learning Journal. Here you can read articles from engineers Applu, who describe their advances in machine learning, which can create innovative products for millions of people around the world. If you are a machine learning teacher or student, engineer, or developer, we would love to hear from you. Write to us at machine-learning@apple.com, “ is stated in the introduction.
In the first article, labeled Vol. 1, Issue 1, the engineers Applu immersed in machine learning related to neuronew networks that are able to create a program to intelligently enhance synthetic images to make them more realistic. Using synthetic images reduces costs, but they may not be realistic enough and thus may cause poor generalization on real test images. For this reason, Apple decided to find a way to improve synthetic images using machine learning.
In December last year, he released a team Applu, which deals with the development of artificial intelligence, published its first research paper focusing on advanced image recognition, which is also included in the blog article.
