This Week in Machine Learning, 28 October 2016

This week’s top Machine Learning stories, including AI agents that both encrypt and explain themselves, 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!


Using deep learning techniques, Google’s Google Brain invents its own encryption methods, even without prior knowledge of any specific cryptographic algorithms.


IBM and Slack team up to use Watson to power new features for the chat service’s popular Slackbot, as well as to make Watson’s capabilities available to more developers.


Wearables and machine learning work together in the myCareCentric Epilepsy project, helping researchers and patients investigate the condition with 24/7 data.


Researchers at MIT present a new way that neural networks can be created that not only generate classifications and predictions, but also explanations for their decisions.


The Nightmare Machine, a collaboration between scientists at MIT’s Media Lab and CSIRO Data61, automatically creates scary versions of famous landmarks and faces.


Scientists at Rockefeller University combine human ratings of different chemicals’ odors with machine learning to generate predictions of how other molecules will smell.