This Week in Machine Learning, 31 March 2017
This week’s top Machine Learning stories, including decoding the genome, disrupting investment markets, 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 demonstrate that AI can predict depression with 75% accuracy based on MRI scans, while Cognoa raises $11.6 million to use machine learning for autism screening.
RBC Capital Markets, Canada’s largest bank, drastically emphasizes machine learning engineers in new hiring, with 70% of new hires coming from a computing background.
Geneticists and computer scientists in Australia team up to launch a new project to use machine learning to decode one’s personal genome.
OpenAI director Ilya Sutskever describes the next big breakthrough in artificial intelligence, emphasizing the growing role of evolutionary algorithms.
Jonathan Wilmot, former head of investment at Credit Suisse, predicts that Google will play a major role in disrupting investment and funds management.
The Engineering and Physical Science Research Council awards £3 million to a consortium of eight universities in the United Kingdom, led by the University of Oxford.