This Week in Machine Learning, 13 November 2017

This week’s top Machine Learning stories: diagnosing ovarian cancer, detecting counterfeit goods, 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!

Commerce

Startup Entrupy leverages machine learning and a smartphone-powered microscope to allow at-home checks for counterfeit purses, watches, and other goods.

Vision

New app WhatThefont uses machine learning and computer vision to identify fonts observed by a smartphone’s camera (hint: this font is Georgia).

Healthcare

Scientists at the Dana-Farber Cancer Institute train a neural network to identify cases of ovarian cancer from serum samples with 91% accuracy.

Science

Scientists use deep learning to analyze the images generated by the MINERvA neutrino experiments to identify interesting particle interactions.

Industry

MIT-based startup Pienso raises $2.1 million in funding to develop ways for non-programmers to train and use machine learning models.

Photography

Let’s Enhance uses machine learning to convert low-resolution images into high-resolution, filling in the data lost when compressing images with significant accuracy.