This Week in Machine Learning 4 September 2017

This week’s top Machine Learning stories: predicting earthquakes, evaluating insurance claims, treating Parkinson’s, and more!

Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. 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!


Scientists at the Los Alamos National Laboratory develop methods to predict earthquakes by applying machine learning to the acoustic signals given off by tectonic plates.


Eagle View Technologies applies machine learning to aerial photographs taken after Hurricane Harvey to allow insurance companies to rapidly address property claims.


Chicago-based software firm Uptake donates $1 million to Carnegie-Mellon University to create a fund for machine learning for social good.


Technavio projects that machine learning courses, led by firms like edX, Udacity, and NobleProg, will see a growth rate over 16% over the next four years.


DeepL creates accurate automatic translation routines powered by machine learning by focusing on the functions of sentences rather than their literal meanings.


AstraZeneca partners with Berg to apply artificial intelligence to the search for new treatments for neurological disorders like Parkinson’s Disease.