This Week in Machine Learning, 21 October 2016

This week’s top Machine Learning stories, including a rise in freelance AI gigs, new ways to tackle wage gap issues, 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!


Physicist Stephen Hawking speaks at the opening of the Leverhulme Centre for the Future of Intelligence, a research hub for exploring humanity’s future in the context of AI.


Glassdoor, the popular workplace review site, leverages the data it has gathered to inform employees whether they are being paid fairly based on their skills and experience.


The trend toward machine learning reaches freelancers as Upwork notes a significant increase in the opportunities for freelance AI work.


At the ACM’s conference on Multimedia in Amsterdam, deep learning is a focal point, from predicting the “interestingness” of GIFs to detecting loiterers.


Sift Science and other startups tackle internal expense fraud, leveraging machine learning to detect and predict instances of fraud in enterprise commerce technology.


Yahoo releases open_nsfw, a machine learning model that distinguishes pornographic images from superficially similar-looking safe-for-work images.