Videos
See AI2's full collection of videos on our YouTube channel.Viewing 211-216 of 216 videos
Crowdsourcing Insights into Problem Structure for Scientific Discovery
May 13, 2014 | Bart SelmanIn recent years, there has been tremendous progress in solving large-scale reasoning and optimization problems. Central to this progress has been the ability to automatically uncover hidden problem structure. Nevertheless, for the very hardest computational tasks, human ingenuity still appears indispensable. We…
Learning and Inference for Natural Language Understanding
March 31, 2014 | Dan RothMachine Learning and Inference methods have become ubiquitous and have had a broad impact on a range of scientific advances and technologies and on our ability to make sense of large amounts of data. Research in Natural Language Processing has both benefited from and contributed to advancements in these methods…
The Aha! Moment: From Data to Insight
February 26, 2014 | Dafna ShahafThe 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
February 26, 2014 | Brendan O'ConnorWhat 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
January 23, 2014 | Gary MarcusFor 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
November 5, 2013 | David FerrucciArtificial 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…