This Week in Machine Learning, 2 September 2016
This week’s top Machine Learning stories include algorithms for everything from the legal profession to your refrigerator!
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!
Google and German fashion platform Zalando debut Project Muze, a machine learning approach to developing new fashion designs.
Google’s RankBrain equips machine learning algorithms with more human-like reasoning to understand the context underlying seemingly disparate sequences of searches.
Chinese search engine Baidu releases its Python-based PaddlePaddle machine learning framework into open-source to allow simpler construction of complex models.
Morgan Lewis CIO Michael Shea predicts a rapidly emerging role for artificial intelligence and machine learning, as well as augmented reality, in the legal profession.
A collaboration between MIT and Massachusetts General Hospital combines wearable devices with unsupervised learning to treat voice disorders in patients.
Microsoft collaborates with Liebherr to design a refrigerator that learns its contents over time to generate recommendations on when to replenish its stock.