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  3. SQI Seminar Series: Prof. Tom Mitchell, Carnegie Mellon University
SQI Seminar Series: Prof. Tom Mitchell, Carnegie Mellon University
Department of Brain and Cognitive Sciences (BCS)

SQI Seminar Series: Prof. Tom Mitchell, Carnegie Mellon University

Add to CalendarAmerica/New_YorkSQI Seminar Series: Prof. Tom Mitchell, Carnegie Mellon University04/13/2026 4:00 pm04/13/2026 4:00 pmBuilding 46,Singleton Auditorium
April 13, 2026
4:00 pm
Location
Building 46,Singleton Auditorium
    Description

    Date: Mon., April 13th, 4:00 PM

    Location: Singleton Auditorium

    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 1970s Ph.D. research, 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."

     

    Title:  The History of Machine Learning

    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.

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    SQI Mission Update: Embodied Intelligence

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    Add to CalendarAmerica/New_YorkSQI Mission Update: Embodied Intelligence03/31/2026 4:00 pm03/31/2026 4:00 pmBuilding 45 (MIT Stephen A. Schwarzman College of Computing),45-792
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