Monday, February 23 / 12:00pm to 1:00pm Pacific Time
Tom Mitchell: The History of Machine Learning
- Hybrid
- Seminar
The DEL Seminar Series is proud to host a diverse roster of bright minds from around the world to discuss various subjects surrounding economics and technology.
On Monday, February 23, Tom Mitchell, Founders University Professor at Carnegie Mellon University, will join the DEL Seminar Series for his talk, “The History of Machine Learning.”
This hybrid event, co-hosted by Stanford HAI, will be streamed live on Zoom. Members of the Stanford community may register to attend in-person.
Abstract
Machine learning is the key technology underlying today’s amazing artificial intelligence systems.
How did we get to today’s technology which now supports a trillion dollar AI industry? What were the key scientific breakthroughs? What were the surprises and dead-ends along the way, as seen by the researchers who created them? Who were the personalities involved, and what were they thinking at the time? What should we learn from all this?
This talk will explore the history of machine learning based on personal experience of the speaker, augmented by video interviews with a dozen other pioneering researchers in the field.
Tom Mitchell
Digital Fellow
Tom M. Mitchell is the Founders University Professor at Carnegie Mellon University, where he founded the world’s first Machine Learning Department, and served as Interim Dean of the School of Computer Science (2018-2019). He is also a Visiting Scholar in the Digital Economics Laboratory at Stanford. He has worked on machine learning and AI ever since his 1979 Stanford Ph.D., and he remains optimistic about its future. In 2010 Mitchell was elected to the U.S. National Academy of Engineering “For pioneering contributions and leadership in the methods and applications of machine learning.”
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