This Week in Machine Learning, 14 October 2016
This week’s top Machine Learning stories, including the White House’s thoughts on artificial intelligence 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!
Google-owned DeepMind creates a neural network with an external memory capable of learning to navigate London’s subway tunnels without predefined reasoning.
A new bookmarking app called Stash leverages an artificially intelligent “librarian” to automatically categorize and group bookmarks for future access.
MIT’s China Innovation and Entrepreneurship Forum’s annual conference prepares to promote collaboration between China and the US on autonomous vehicles and AI.
The White House releases Preparing for the Future of Artificial Intelligence, covering the current state of AI and its implications for future society and policy.
Google Photos uses machine learning to automatically group photos based on people in the pictures, dynamically generating albums and resurfacing memorable photos.
Google uses machine learning to combat redundant encoding and the subtle biases it introduces in the hiring process.