This Week in Machine Learning, 21 April 2017

This week’s top Machine Learning stories, including open-source frameworks, fashion styling, battling robots, 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!

Vision

Researchers from universities in Mexico City use machine learning and computer vision to analyze satellite imagery and uncover hidden mass graves.

Commerce

London-based startup Thread uses machine learning to tailor the input of online stylists to individuals’ fashion decisions.

Industry

Secretive startup Groq teases a new type of processor, better than traditional CPUs and GPUs, called a Tensor Processing Unit that can perform much faster.

Technology

Facebook releases its Caffe2 framework into open-source, allowing the world to have access to the deep learning resources it has developed.

Robotics

Google lays the groundwork for constructing robots that do not rely on human intervention or input to learn from their experiences.

Engineering

SnapLogic attempts to bring machine learning to development operations, automating tasks involved in modifying a company’s technology stack.