This Week in Machine Learning, 18 November 2016

This week’s top Machine Learning stories, including self-healing networks, self-watering crops, 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!


A team of researchers creates a machine learning algorithm to detect whether electronic communications are assigned the proper classification level in near-real-time.


Startup SearchInk uses its machine learning-powered handwriting recognition algorithm to convert classic handwritten writings to digital, searchable text.


Nokia uses machine intelligence to create networks that heal themselves, diagnosing problems faster and often preventing problems from occurring in the first place.


Machine learning to drive new innovation in farming and agriculture, such as vertically-grown crops individually monitored by dedicated sensors to receive optimal care.


Google Cloud chief Diane Greene announces a new push into machine learning, focusing on unifying disparate teams within Google.


Google releases a new tool called Rapid and Accurate Image Super-Resolution (RAISR), which allows for the enhancement of details in low-quality photographs.