This Week in Machine Learning, 4 November 2016

This week’s top Machine Learning stories, including everything from gender bias and MRIs to journalism, fashion and transportation!

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!


A machine learning algorithm quantifies the gender bias present in astronomy research, finding that papers with women as first-authors suffer a 10% drop in citations.


A new deep learning-powered tool from Fraunhofer researchers supports physicians visually examining CT and MRI scans for changes in tumors.


Fashion startup Combatant Gentlemen leverages machine learning to increase sales at its physical stores, powered by its proprietary software platform Tower.


The IBM Institute of Business Value projects that the cognitive systems space will reach a total value of $47 billion by 2020, supported by AI and machine learning.


The Associated Press plans to use machine learning to support journalists and writers by automatically generating multiple versions of the same story for distribution.


Uber prepares to deploy a new version of its app that uses machine learning to predict when and where riders will want to travel, streamlining every part of the process.