This Week in Machine Learning, 1 July 2016
This week’s top Machine Learning stories: Brexit reactions, dogfight simulations, collaborating robots, 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!
Psibernetix’s artificially intelligent fighter pilot ALPHA repeatedly defeats retired Air Force Colonel Gene Lee in a series of simulated dogfights.
Chemists in Russia create a way to check the composition of potentially medicinal plants through machine learning, mass spectrometry, and liquid chromatography.
UC San Diego researchers demonstrate an unsupervised learning approach to analyzing microbiomes that can detect gender differences in gut samples.
MonkeyLearn analyzes tweets surrounding the Brexit vote, finding the majority of users reacted negatively to the result, and a surprising number mentioned Donald Trump.
New journal One Ecosystem examines the use of machine learning in ecological research, finding an enormous spike in the past six years especially in oceanography.
Tend.ai develops a system to enable robots to collaborate together on tasks like running 3D printers, allowing hobbyists to create automated manufacturing processes.