This Week in Machine Learning, 6 October 2016

This week’s top Machine Learning stories, from tracking ivory poachers in Uganda to the challenges of detecting sarcasm with natural language processing, and all points in between!

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!


Microsoft promises an artificial intelligence supercomputer built on its Azure Cloud Platform, beginning with $5 million in credits to the Alan Turing Institute for data analytics.


Researchers from USC use machine learning and game theory to predict where ivory poachers will target elephants in Uganda, allowing authorities to intervene sooner.


In the finale of Google’s national Science Fair, machine learning dominates the projects, from predicting breast cancer to finding misplaced objects.


Billionaire Mark Cuban predicts that machine learning is the next major technology, through new innovations like precision medicine.


Google releases a database of 9 million human-tagged photographs developed through a collaboration with Carnegie Mellon and Cornell University.


Researchers note that within natural language processing, detecting sarcasm remains one of the most difficult challenges due in part to situational or contextual factors.