This Week in Machine Learning, 24 June 2016

This week’s top Machine Learning stories, including predicting trustworthiness, creating 3D art, anticipating human behavior, 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!


Start-up Trooly uses machine learning to vet potential employees, customers, or partners, helping businesses predict trustworthiness while reducing other biases.


DARPA launches its Data-Driven Discovery of Models (D3M) program, which aims to apply machine learning to machine learning to allow novices to construct empirical models.


Twitter acquires London-based Magic Pony Technology for $150 million to help improve the quality of live and pre-recorded videos streamed via the social media giant.


Researchers from MIT train an algorithm on videos of interpersonal interactions to anticipate what will likely take place next, such as predicting if two people will hug or kiss.


Netflix aims to release its Meson orchestration and scheduling framework, which powers Netflix’s recommendation engine, as an open-source project.


Scientists at the IT University of Copenhagen and the University of Wyoming develop an AI agent capable of creating 3D-printable artwork using deep learning.