This Week in Machine Learning, 1 December 2016

This week’s top Machine Learning stories, including AI agents that detect weapons, recognize faces, diagnose blindness, 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!


Scientists at University College London create a machine learning technique to automatically discern hidden weapons from X-ray images at security checkpoints.


Researchers at MIT implement a machine learning algorithm for facial recognition that spontaneously operates similarly to the human brain’s analogous system.

Food & Beverage

A report by McKinsey and Company predicts that machine learning can be used to radically improve the efficiency of delivering fresh food to supermarkets.


Researchers at Google develop an AI agent that can automatically learn to detect indicators for common forms of blindness using machine learning.


University of Washington researchers create MusicNet, an attempt to analyze classical music the way many algorithms have previously analyzed images.


The Invisible Cities project uses neural networks to turn hand-drawn maps into pictures resembling satellite images of real or fictional metropolitan areas.