Nand Kishor Contributor

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...

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Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...

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Apple launches machine learning research site

By Nand Kishor |Email | Jul 20, 2017 | 5967 Views

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 images look real. It was cheaper and faster to train the neural network.

Second, Apple tells readers to email the company in its inaugural post. There's also a big link in the footer to look at job openings at Apple. It's clear that Apple plans to use this platform to find promising engineers in that field.

Third, many people have criticized Apple when it comes to machine learning, saying that companies like Google and Amazon are more competent. And it's true that the company has been more quiet. Some consumer products like Google's assistant and Amazon's Alexa are also much better than Apple's Siri.

But Apple has also been doing great work when it comes to analyzing your photo library on your device, the depth effect on the iPhone 7 Plus and the company's work on augmented reality with ARkit. Apple wants to correct this narrative.

Source: TC