COOL SEMINAR on IBM Watson on Monday. For all those CDI-II and Natural
Language Chemistry afficionados.
Alán Aspuru-Guzik | Associate Professor
Harvard University | Department of Chemistry and Chemical Biology
12 Oxford Street, Room M113 | Cambridge, MA 02138
(617)-384-8188 |
http://aspuru.chem.harvard.edu
---------- Forwarded message ----------
From: Hanspeter Pfister <pfister(a)seas.harvard.edu>
Date: Fri, Oct 28, 2011 at 9:56 AM
Subject: Fwd: [Cs-faculty] Joint CS/Applied Math Colloquium on MONDAY, Oct.
31 - Eric Brown
To: Alan Aspuru-Guzik <aspuru(a)chemistry.harvard.edu>du>, Lincoln Greenhill <
lgreenhill(a)cfa.harvard.edu>
FYI
Sent from my iPad
Begin forwarded message:
*From:* Gioia Sweetland <gioia(a)seas.harvard.edu>
*Date:* October 26, 2011 1:44:13 PM EDT
*To:* cs-all <cs-all(a)seas.harvard.edu>du>, colloquium <
colloquium(a)seas.harvard.edu>gt;, wam_seminars <wam_seminars(a)seas.harvard.edu>
*Cc:* Gioia Sweetland <gioia(a)seas.harvard.edu>
*Subject:* *[Cs-faculty] Joint CS/Applied Math Colloquium on MONDAY, Oct. 31
- Eric Brown*
Eric Brown of the IBM T.J. Watson Research Center will give a talk
entitled “Beyond Jeopardy!: The Implications of IBM Watson” at a special
joint Computer Science/Applied Math Colloquium.****
*MONDAY*, October 31, 2011****
*11:30 a.m. – 1:00 p.m.*
Maxwell Dworkin G125****
Refreshments at 11:00 a.m. outside MD G125****
----------------------------------------------------------------------------------------------------------------------
****
*Beyond Jeopardy!: The Implications of IBM Watson*
Watson, named after IBM founder Thomas J. Watson, was built by a team of IBM
researchers who set out to accomplish a grand challenge––build a computing
system that rivals a human’s ability to answer questions posed in natural
language with speed, accuracy and confidence. The quiz show Jeopardy!
provided the ultimate challenge because the game’s clues involve analyzing
subtle meaning, irony, riddles and other complexities in which humans excel
and computers traditionally do not. Watson passed its first test on
Jeopardy!, beating the show's two greatest champions in a televised
exhibition match, but the real test will be in applying the underlying data
management and analytics technology in business and across industries. Learn
about the present and future implications of Deep QA and the other
technologies behind Watson from Dr. Eric Brown, Watson Algorithms, IBM
Research.
*Eric Brown* earned his B.S. degree at the University of Vermont (1989) and
M.S. and Ph.D. degrees at the University of Massachusetts (1992, 1996), all
in Computer Science. At UMass Eric was advised by Bruce Croft and was a
member of the Center for Intelligent Information Retrieval. Eric joined the
IBM T.J. Watson Research lab in 1995 as a Research Staff Member, and has
been a manager since 2004. While at IBM Eric has conducted research in
information retrieval, document categorization, text analysis, question
answering, bio-informatics, and applications of automatic speech
recognition. Since 2007 Eric has been a technical lead on the DeepQA
project at IBM and the application of automatic, open domain question
answering to build the Watson Question Answering system. The goal of Watson
is to achieve human-level question answering performance. This goal was
realized in February of 2011 when Watson beat Ken Jennings and Brad Rutter
in a televised Jeopardy! exhibition match. Eric's role on the project has
spanned architecture development, special question processing, and hardware
planning and acquisition, and he is currently focused on commercialization.
Eric has published numerous conference and journal papers, and holds
several patents in the areas of text analysis and question answering. Eric
currently resides in New Fairfield, CT with his wife and three children.****
_______________________________________________
Cs-faculty mailing list
Cs-faculty(a)seas.harvard.edu
https://lists.seas.harvard.edu/mailman/listinfo/cs-faculty