[61266] in Discussion of MIT-community interests
Master the art of wood building (build practically anything)
daemon@ATHENA.MIT.EDU (Woodworking made easy)
Thu Nov 19 07:45:26 2015
Date: Thu, 19 Nov 2015 04:45:24 -0800
To: <mit-talk-mtg@charon.mit.edu>
From: "Woodworking made easy" <Woodworkingmadeeasy@tedwudwrk.co>
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Geometry m OHMWGOTP ay be a bane for many CIKCTXHH students but an artificial intelligence system called GeoS AUBYAJPB appears competent in the subject. The AI is capable of solving SAT geometry questions on par with th NUJLSLKI e level of an average 11th grade student in the U.S.The system, which was developed by researchers from the University of Washington and Allen Institute for Artificial Intelligence (AI2), uses computer vision for interpreting diagrams, natural l SWFCLBTP anguage processing, and a geometric solver that allowed the AI to achieve a 49 percent score on official SAT test questions. GeoS answered unaltere JERECYNF d TOGWAWAO SAT question that it has not yet encountered before and which required an understanding of ambiguous references, implicit relationships, and relationships between natural language texts and diagrams.The AI RKCLVMTQ solves the proble JBSWDOPO ms by interpreting a question using th THUXJIFD e text and diagram in concert to come up with the best p AMCAJDQD ossible expressions of the problem that it sends to the geometric solver for solution. The machine then compares this answer to the choices in the multiple choice for NTQLIMCU that question. "In our experiments, GEOS ac OXRTMJKI hieves a 49% score on official SAT questions, and a score of 61% on practice questions," the r RGJBQOGS esearchers reported. "W BJTMMMQC e show that by integrating textual and visual information, GEOS boosts the accuracy of dependency and semantic parsing of the GJNPWRMN question text." S PEHFQTNI hould the results be extrapolated to the CWLVMTOP entire Math SAT test, GeoS will receive an SAT score of 500, the average DKDRXVTG test scor FHXCCKPR e for this year. AI2 CEO Oren Etzioni said that standardized tests such as the SAT offe RYYIVPSX r a means for researchers to measure the reasoning ability of a machine and compare this with that of a human."Much of what we understand from text and graphics is not explicitly stated, and requires far more knowledge than we appreciate," Etzioni said. "Creating a system to be METBXJTE able to successfu VWVVSQDA lly take these te ABDEMUWG sts is challenging, and we are prou WXOSNHQD d to achieve these unprecedented results." While a typical computer vision algorithm can determine if an image is a geometric diagram NNGLYAPU , GeoS is in essence tries to understand this particular diagram.Many of the new AI systems are advanced in detecting patterns what but makes GeoS different is that it tries to make sense of the data that it is fed. It analyzes
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