This Week in Machine Learning, 11 November 2016

This week’s top Machine Learning stories, including AI agents that understand physics, protect sea cows, predicts court cases, 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 announces that its DeepMind team has trained AI agents to interact with objects in the physical world without any prior understanding of the laws of physics.


Google researchers use artificial intelligence and machine learning to create a system that automatically detects sea cows in ocean images to aid conservation efforts.


Researchers combine swarm intelligence with artificial intelligence to create a system that accurately predicts the outcomes of court cases.


Machine learning fuels a 15% jump in Nvidia’s already-doubled stock price, powered in large part by Nvidia’s investment in the hardware that powers autonomous cars.


Researchers teach a machine learning algorithm to recognize the feeding patterns that are largely responsible for pathogen transmission in insects.


Facebook uses machine learning to bring the idea of style transfer to social media, restyling short videos to resemble works of art from painters like Picasso and van Gogh.

Like what you read? Give David Joyner a round of applause.

From a quick cheer to a standing ovation, clap to show how much you enjoyed this story.