This Week in Machine Learning, 7 April 2017

This week’s top Machine Learning stories, including computational models of drug effectiveness, stem cells, sentiment analysis, 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!


IBM receives a patent for machine learning models that predict drug effectiveness, while Stanford researchers develop alternate models that work with small datasets.


Security firm Darktrace’s Antigena algorithm anticipates and autonomously reacts to a threat of an internal leak within a UK firm.


A new deep learning system predicts the appearance and behavior of stem cells, leading to the creation of an interactive tool for anticipating the result of gene changes.


Researchers from OpenAI find that a neural network focusing on predicting text in Amazon reviews has autonomously learned to analyze sentiment.


Google employs machine learning to resolve mismatches in advertisement placement, addressing firms’ concerns about ads in objectionable videos.


Adobe’s machine learning and AI branch Sensei releases a trailer for a new suite of tools aimed at automatically improving smartphone selfies.