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WolframAlpha then computes answers and relevant visualizations from a knowledge base of curated, structured data that come from other sites and books. It can respond to particularly phrased natural language fact-based questions. It displays its "Input interpretation" of such a question, using standardized phrases.
Symbolab is an answer engine [1] that provides step-by-step solutions to mathematical problems in a range of subjects. [2] It was originally developed by Israeli start-up company EqsQuest Ltd., under whom it was released for public use in 2011.
The following is a list of websites that follow a question-and-answer format. The list contains only websites for which an article exists, dedicated either wholly or at least partly to the websites. The list contains only websites for which an article exists, dedicated either wholly or at least partly to the websites.
The Cambridge Grammar of the English Language distinguishes between an answer (being a member of the set of logically possible answers, as delineated in § Semantic classification) and a response (any statement made by the addressee in reply to the question). [1]
QANDA (stands for 'Q and A') is an AI-based learning platform developed by Mathpresso Inc., a South Korea-based education technology company. Its best known feature is a solution search, which uses optical character recognition technology to scan problems and provide step-by-step solutions and learning content.
Microsoft Math Solver (formerly Microsoft Mathematics and Microsoft Math) is an entry-level educational app that solves math and science problems. Developed and maintained by Microsoft , it is primarily targeted at students as a learning tool.
The platform uses image recognition technologies to provide answers and explanation of mathematical and science questions of highschool to college level. [1] [5] To find the solution to a question, one has to upload an image depicting the question.
The General Problem Solver (GPS) is a particular computer program created in 1957 by Herbert Simon, J. C. Shaw, and Allen Newell intended to work as a universal problem solver, that theoretically can be used to solve every possible problem that can be formalized in a symbolic system, given the right input configuration.
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