This Week in Machine Learning, 8 July 2016
This week’s top Machine Learning stories, including predicting blindness, growing food, brewing beer, 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!
Geographical analytics firm OmniEarth uses IBM’s Watson to analyze aerial photos to evaluate how efficiently California farmers and residents are using water.
Dallas-based startup Flux Farm uses machine learning and pervasive computing to allow novice farmers to grow food for themselves or local communities.
Google’s DeepMind partners with the UK’s National Health Service to use its deep learning system to analyze millions of eye scans to identify early predictors of blindness.
The Center for Sensorimotor Neural Engineering works to build a human-computer interface that works directly with the user’s central nervous system.
Google further enhances its portfolio of visual recognition technologies by acquiring Paris-based Moodstocks, which has previously specialized in on-device image recognition.
Food & Beverage
London-based IntelligentX uses artificial intelligence and reinforcement learning to create new beer recipes based on interactions with consumers via Facebook chat bots.