Apple launches machine learning research site

Apple just launched a blog focused on machine learning research papers and sharing the company’s findings. The Apple Machine Learning Journal is a bit empty right now as the company only shared one post about turning synthetic images into realistic ones in order to train neural networks.This move is interesting as Apple doesn’t usually talk about their research projects. The company has contributed and launched some important open source projects, such as WebKit, the browser engine behind Safari, and Swift, Apple’s latest programming language for iOS, macOS, watchOS and tvOS. But a blog with research papers on artificial intelligence project is something new for Apple. It’s interesting for a few reasons. First, this research paper has already been published on arXiv. Today’s version talks about the same things but the language is a bit more simple. Similarly, Apple has added GIFs to illustrate the results. According to this paper, Apple has had to train its neural network to detect faces and other objects on photos. But instead of putting together huge libraries with hundreds of millions of sample photos to train this neural network, Apple has created synthetic images of computer-generated characters and applied a filter to make those synthetic…


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