This Week in Machine Learning, 27 May 2016

This week’s top Machine Learning stories, including robots to drive your car, diagnose your medical images, pick up your mess, 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!


Researchers at Cornell and Stanford build Watch-Bot, a robot to detect when humans make minor everyday mistakes like leaving the refrigerator door open.


Shutterstock launches an iOS version of its machine learning-enabled reverse image search, allowing users to search for pictures based on photos they have just taken.


Artificial intelligence and machine learning pioneers Peter Norvig and Sebastian Thrun take questions on the evolution of AI and the future of machine learning on


Researchers at the IMEC research institute aim to equip automobiles with advanced sensors, pattern recognition, and learning algorithms to improve autonomous driving.


Chinese ridesharing company Didi Chuxing and US-based educational organization Udacity partner for $100K challenge to improve Didi’s ride-matching algorithm.


Israel-based Zebra Medical Vision receives $12 million in funding to create imaging algorithms for automatically processing and analyzing medical imaging data.

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