This Week in Machine Learning, 17 June 2016

This week’s top Machine Learning stories: forecasting the effects of weather, the success of cochlear implants, soccer tournament results, 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 the University of Cincinnati and Cincinnati Children’s Hospital use machine learning to predict the success of cochlear implants for hearing-impaired children.


IBM’s The Weather Company launches Deep Thunder, a weather service powered by machine learning to forecast the effects of weather on local businesses and services.


Filmmaker Oscar Sharp and data scientist Ross Goodwin release Sunspring, a science fiction short film written by a recurrent neural network dubbed “Benjamin”.


SoftServe finds that within two years, 62% of medium to large organizations will implement machine learning for business analytics, regarding it as a necessity for survival.


Google launches a research center for artificial intelligence in Zurich, Switzerland, focusing on machine learning, machine perception, and natural language processing.


Particle physicist Michael Feindt applies algorithms developed with the CERN supercollider to predict that France will win the ongoing Euro 2016 soccer tournament.

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