This Week in Machine Learning, 30 September 2016
This week’s top Machine Learning stories, featuring a 40% increase in US productivity by 2035 thanks to artificial intelligence!
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!
Google opens up its Cloud Machine Learning platform to an open public beta, along with their Machine Learning Advanced Solutions Lab to give access to Google engineers.
Data collector Splunk integrates machine learning technologies into its portfolio to support professionals in information technology and business administration.
Mountain View-based cybersecurity company Shape Security secures $40 million in Series D funding to use machine learning to address real-time threats.
Kadaxis, a start-up at the intersection of publishing and machine learning, builds predictive models to automatically preview and evaluate unsolicited manuscripts.
Researchers at the University of Edinburgh create Neural Photo Editor, a tool for retouching photos equipped with neural networks for better performance.
A new Accenture report predicts that artificial intelligence will improve productivity by up to 40% by 2035, bringing with it nearly a 5% increase in economic growth.