This Week in Machine Learning, 13 May 2016
This week’s top Machine Learning stories, including an amazing story about a virtual teaching assistant, 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!
A professor in Georgia Tech’s and Udacity’s online MS in Computer Science program uses IBM Watson to create a virtual teaching assistant for an online forum-based class.
University of Washington researchers create a robotic hand that can autonomously learn to perform intricate movements based on its past experiences and failures.
A researcher at the National Kapodistrian University of Athens in Greece develops a model for predicting spikes in refugee arrivals to assist with preparation.
In a project published in Nature, researchers use machine learning to process and learn from failed chemical reactions documented in researchers’ lab notebooks.
Deep Learning Analytics in Virginia develops an automatic target recognition system for DARPA to improve aircraft pilots’ accuracy when identifying targets.
Google adds a new tool to its SyntaxNet framework to help computers parse and understand English sentences, dubbed “Parsey McParseface” by its engineers.