This Week in Machine Learning, 3 June 2016

This week’s top Machine Learning stories, including AI agents that compose music, watch movies, surf Facebook, 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!


Google Brain announces Magenta, an open-source project using TensorFlow and machine learning to try to create novel and creative art and music.


Facebook unveils DeepText, a text understanding engine said to possess near-human levels of language comprehension ability in over 20 different languages.


DARPA announces a potential new program called the Fundamental Limits of Learning (Fun LoL) to find the inherent limitations on machine learning systems.


Terence Broad at the University of London trains an artificial neural network to watch and recreate Blade Runner to generate new methods of video encoding.


Gurucul and Google each separately develop artificial intelligence-based approaches to cybersecurity based on user and risk profiles instead of human-defined rules.


The International Data Corporation recognizes innovators pioneering text analytics, including, Kira Systems, Loop AI Labs, NetBase, and Taste Analytics.