This Week in Machine Learning, 20 January 2017
This week’s top Machine Learning stories, including machine learning for heart diagnoses, autonomous vehicles, and writing other AI agents!
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!
The United States Food & Drug Administration grants approval for the first time to a deep learning system for diagnosing heart conditions.
Social media and Q&A site Quora leverages machine learning to improve the quality of answers received to questions asked on its platform.
Facebook releases a new Python package, PyTorch, for accelerating deep learning and neural networks, leveraging existing Python packages like SciPy and NumPy.
Researchers at Google Brain instruct a machine learning system to design a new machine learning system, and the results surpass those of systems designed by humans.
AI-as-a-service startup Neurala raises $14 million in Series A funding to support its effort to bring autonomy not only to automobiles, but to toys, manufacturing, and cameras.
Kristen Stewart (of Twilight fame) co-authors a paper on arXiv with collaborators on her movie Come Swim about the use of style transfer in the upcoming film.