This Week in Machine Learning, 27 January 2017

This week’s top Machine Learning stories, including diagnosing skin cancer, playing poker, planning cities, 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 Stanford University develop a deep learning system as accurate as doctors at diagnosing skin cancer, aiming to one day bring the technology to smartphones.


Researchers attempt to construct machine learning algorithms for developing transit systems and directing city planning, targeting Singapore’s rapid expansion.


IBM incorporates Google’s powerful TensorFlow framework into PowerAI, in addition to Chainer, a system for constructing neural networks.


Accounting firm Deloitte projects that in 2017, machine learning capabilities will reach 300 million smartphones, comprising more than 20% of 2017 sales.


Artificial intelligence and machine learning startup KenSci raises $8.5 million in Series A funding to develop systems to predict when patients will get sick.


Researchers at Carnegie Mellon develop a poker-playing AI agent that beats some of the world’s best players, showing rising power over problems with incomplete information.