Videos

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  • The Aha! Moment: From Data to Insight Thumbnail

    The Aha! Moment: From Data to Insight

    February 26, 2014  |  Dafna Shahaf
    The amount of data in the world is increasing at incredible rates. Large-scale data has potential to transform almost every aspect of our world, from science to business; for this potential to be realized, we must turn data into insight. In this talk, I will describe two of my efforts to address this problem…
  • Statistical Text Analysis for Social Science: Learning to Extract International Relations from the News Thumbnail

    Statistical Text Analysis for Social Science: Learning to Extract International Relations from the News

    February 26, 2014  |  Brendan O'Connor
    What can text analysis tell us about society? Corpora of news, books, and social media encode human beliefs and culture. But it is impossible for a researcher to read all of today's rapidly growing text archives. My research develops statistical text analysis methods that measure social phenomena from textual…
  • Smart Machines, and What They Can Still Learn From People Thumbnail

    Smart Machines, and What They Can Still Learn From People

    January 23, 2014  |  Gary Marcus
    For nearly half a century, artificial intelligence always seemed as if it just beyond reach, rarely more, and rarely less, than two decades away. Between Watson, Deep Blue, and Siri, there can be little doubt that progress in AI has been immense, yet "strong AI" in some ways still seems elusive. In this talk, I…
  • AI: A Return to Meaning Thumbnail

    AI: A Return to Meaning

    November 5, 2013  |  David Ferrucci
    Artificial Intelligence started with small data and rich semantic theories. The goal was to build systems that could reason over logical models of how the world worked; systems that could answer questions and provide intuitive, cognitively accessible explanations for their results. There was a tremendous focus on…