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  2. Photomath - Wikipedia

    en.wikipedia.org/wiki/Photomath

    Photomath is an educational technology mobile app, owned by Google.It features a computer algebra system with an augmented optical character recognition system, designed for use with a smartphone's camera to scan and recognize mathematical equations; the app then displays step-by-step explanations onscreen.

  3. Microsoft Math Solver - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Math_Solver

    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.

  4. Socratic (Google) - Wikipedia

    en.wikipedia.org/wiki/Socratic_(Google)

    The app uses AI technology to help students with their homework by providing educational resources like videos, definitions, Q&A, links and more. [2] Socratic was first launched as a web product in 2013 by Chris Pedregal and Shreyans Bhansali, in New York City, United States. They launched their app under the same name in 2016.

  5. Symbolab - Wikipedia

    en.wikipedia.org/wiki/Symbolab

    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.

  6. List of open-source software for mathematics - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source...

    It was originally known as "HECKE and Manin". After a short while it was renamed SAGE, which stands for ‘’Software of Algebra and Geometry Experimentation’’. Sage 0.1 was released in 2005 and almost a year later Sage 1.0 was released. It already consisted of Pari, GAP, Singular and Maxima with an interface that rivals that of Mathematica.

  7. WolframAlpha - Wikipedia

    en.wikipedia.org/wiki/WolframAlpha

    Users submit queries and computation requests via a text field. 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 ...

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