This Week in Machine Learning, 20 November 2017

This week’s top Machine Learning stories: facial recognition, collision detection, and more!

Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. 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!

Robotics

Scientists at UC-San Diego develop the Fastron algorithm, a machine learning-powered algorithm for collision detection in robotics.

Vision

Apple publishes new details in its Machine Learning Journal on the deep neural network system its devices use for facial recognition.

Technology

Google previews TensorFlow Lite, a machine learning framework capable of running on mobile devices, bypassing the cloud entirely.

Healthcare

A new study from University College London reveals that machine learning could improve the predictive power of clinical healthcare trials by detecting hidden effects.

Theory

Microsoft releases a beta version of Visual Studio Tools for AI, a plugin for their IDE that connects to frameworks like their own Cognitive Toolkit and Google’s TensorFlow.

Commerce

IBM and Algorithmia both tackle adoption issues in artificial intelligence with new tools aiming to make it easier for researchers to get to results quicker.