This week’s top Machine Learning stories: predicting Ebola outbreaks, a new self-driving car Nanodegree, improving the comic book experience on tablets, 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!
Scientists from the Cary Institute of Ecosystem Studies use machine learning to predict which bat species carry Ebola-causing filoviruses and anticipate possible outbreaks.
Startup Bioz launches with $3 million in funding to use machine learning to automate portions of the process for developing new treatments for diseases.
Google launches two machine learning APIs into open beta: Cloud Natural Language API for parsing plaintext sentences and Speech API for speech recognition.
Udacity announces new Nanodegree program targeting the deep learning, computer vision, and robotics skills necessary to work on self-driving cars.
Stanford researchers combine 3D scanning with machine learning to automatically create detailed models of buildings for renovations or refurbishments.
Google uses machine learning to make comic books easier to read on smartphones and tablets by recognizing and automatically highlighting speech bubbles.