This Week in Machine Learning 16 December 2016
This week’s top Machine Learning stories, including new batteries, new clothes, new medical diagnoses, 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 Stanford University identify candidates for solid materials to replace current batteries by applying machine learning to a database of materials and their properties.
Scientists in Finland use EEG sensors coupled with machine learning algorithms to predict interest levels in readers consuming Wikipedia articles.
Clothing retailer Stitch Fix leverages machine learning to predict the best outfits for its customers based on prior purchasing and rating habits.
Hospitals in France leverage machine learning and data science to predict the likelihood of patient readmission to the hospital during different times of day.
Deep learning networks are shown to be as effective as conventional decision systems in cytopathologic testing (or “smear” tests), used for diagnosis of many diseases.
Using approaches drawn from artificial intelligence, scientists at Computational Neuroscience Laboratories in Kyoto alter brain activity to induce increased confidence.