On February 16, 2011, TED.com hosted a live webstream of IBM experts and insiders discussing supercomputer Watson’s victory against Jeopardy!‘s top human contestants. Watch this fascinating conversation between host Stephen Baker, author of Final Jeopardy: Man vs. Machine and Watson’s principal investigator Dr. David Ferrucci, IBM Fellow Kerrie Holley and Columbia professor Herbert Chase.
Video: IBM insiders break down Watson’s Jeopardy! win
Science
Comments we loved this year: The gift of additional information
TED Talks often get 100 or more comments — a mixed bag of kudos, critiques and questions. Looking back on the year, here are a few comments that wowed us. Do you know more about a topic than the speaker had time to share in their talk? Here’s a great example of how a knowledgeable […]
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commented on Mar 1 2011
I am surprised by what Kerrie Holley said. The use of Watson suggested by him does not have any relation to the core technology. He is talking about analytics, route optimization etc – but Watson is about language comprehension.
http://setandbma.wordpress.com/2011/03/01/how-intelligent-are-the-computers-of-2011/
Kerrie Holley commented on Oct 15 2011
Watson is built on IBM’s DeepQA technology. DeepQA uses Deep Analytics to understand the question and natural language content. It integrates and advances technologies from many different areas in computer science including Natural Language Processing, Information Retrieval, Knowledge Representation and Reasoning, Computational Linguistics and Machine Learning.
Also, A feature of IBM Content Analytics (known as LanguageWare) is performing the Lexical Analysis function in Watson as part of natural language processing.
Watson is more than language comprehension and its core technology as well.
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Mayumi Levesque commented on Feb 18 2011
As a graduate student in social work: I wonder if in the field of social work (as well as in business and medicine), Watson might have the potential to influence the ways we participate in evidence-based practice; or if it would interfere with the human component of engagement and assessment; and if it would ignore the ecological, cultural, and semantic contexts in which humans communicate. I just don’t want to see professionals substituting the technology for critical thought in the name of efficiency– especially when there may be more than one (or even, a handful of) correct response(s).
That said, I would love to have Watson as an app on my iphone! ;-)
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