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  2. 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. In 2020, the company was acquired by American educational technology website Course Hero. [3] [4]

  3. Microsoft Math Solver - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Math_Solver

    Microsoft Math contains features that are designed to assist in solving mathematics, science, and tech-related problems, as well as to educate the user. The application features such tools as a graphing calculator and a unit converter. It also includes a triangle solver and an equation solver that provides step-by-step solutions to each problem.

  4. Photomath - Wikipedia

    en.wikipedia.org/wiki/Photomath

    Photomath utilizes the camera of a user's smartphone or tablet to scan and identify mathematical problems. [4] Upon recognition, the app displays the steps to solve the problem. The app presents these steps through various methods and approaches, elucidating the problem-solving process in a step-by-step manner to educate users.

  5. Google Deepmind AI makes breakthrough in one of hardest tests ...

    www.aol.com/news/google-deepmind-ai-makes...

    The company says that it has created a new AI system that can solve geometry problems at the level of the very top high-school students. Geometry is one of the oldest branches of mathematics, but ...

  6. Google DeepMind AI software makes a breakthrough in solving ...

    www.aol.com/finance/google-deepmind-ai-software...

    Scientists at Google DeepMind, Alphabet's advanced AI research division, have created artificial intelligence software able to solve difficult geometry proofs used to test high school students in ...

  7. Google AI systems make headway with math in progress ... - AOL

    www.aol.com/news/google-ai-systems-headway-math...

    The current class of AI models, which work by statistically predicting the next word, have struggled with abstract math, which requires greater reasoning capabilities resembling human intelligence.