Former director of the Stanford Artificial Intelligence (AI) Lab Fei-Fei Li and Stanford humanities professor and former Provost John Etchemendy are on a mission to “bring the humanities and social thinking into tech.”
Ever been frustrated about how long it takes for your Netflix episode to buffer or how blurry the resolution of your YouTube video is? A team of computer science researchers at Stanford think they can ameliorate video-streaming standards.
Google Senior Fellow and Head of Artificial Intelligence (AI) Jeff Dean discussed the future of AI Monday in Hewlett Teaching Center, describing Google’s efforts to push the boundaries of what computers can do.
On Friday, Stanford’s d.school held the first workshop in a four-part series examining the fundamentals of machine-learning analysis and blockchain systems. The workshops, which are free to both students and the general public, run from mid-October to late November, with the goal of exposing a wider community to rapidly developing technologies.
While the book focuses on ten traits, Hennessy’s remarks centered around only four: humility, empathy, collaboration and storytelling. Hennessy shared several anecdotes from his tenure as University president.
Netflix Machine Learning Director Tony Jebara discussed the role of machine learning in personalized streaming services during a presentation to a packed audience at the Hewlett Teaching Center on Monday. Jebara’s talk was the second in this quarter’s Artificial Intelligence (AI) in Real Life Seminar Series, offered to students as the one-unit course CME 500.
According to a March perspective piece by three Stanford researchers in the New England Journal of Medicine, while there is tremendous potential for machine learning to aid in expanded electronic records, efficient data-mining and health monitoring, there are also relevant challenges that may hinder the efficacy of machine learning systems in medical practice.