This Week in Machine Learning, 9 September 2016

This week’s top Machine Learning stories, including the iPhone 7’s camera, mastering music the machine learning way, and more!

Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It’s incredible, but it can also be overwhelming. That’s why we created This Week in Machine Learning! Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments. New posts will be published here first, and previous posts are archived on the Udacity blog.

Whether you’re currently enrolled in our Machine Learning Nanodegree program, already working in the field, or just pursuing a burgeoning interest in the subject, there will always be something here to inspire you!


Apple packs the camera of its new iPhone 7 with machine learning features, including automated reasoning to identify individuals and separate foregrounds from backgrounds.


IBM and Nvidia unveil the Power Systems S822LC for High Performance Computing, a new server custom-built for artificial intelligence and machine learning applications.


Montreal-based startup LANDR uses machine learning and artificial intelligence to bring audio engineering expertise to the masses, automatically remastering music tracks.


Researchers at MIT create a machine learning system that generates videos based on still photographs, predicting what happens before and after the original frame.

Fashion, an AI agent to judge human beauty, unwittingly shows the danger of a biased training set by choosing nearly all light-skinned contestants in a beauty pageant.


IBM’s Watson takes on the U.S. Open, using machine learning to provide real-time data analytics and visualizations to commentators and spectators alike.

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