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The app extracts text from the image and tries to match it in its database of questions which are pre-answered, having recorded video solutions. If it finds a match, then the result is provided to the user; otherwise, it asks the user to post their question publicly for tutors available on the platform to provide a video explaining their query.
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.
These rules would be fed back to Heuristic Dendral (in the planning and testing programs described below) to test their applicability. [1] Thus, "Heuristic Dendral is a performance system and Meta-Dendral is a learning system". [4] The program is based on two important features: the plan-generate-test paradigm and knowledge engineering. [4]
Alán Aspuru-Guzik is a professor of chemistry, computer science, chemical engineering and materials science at the University of Toronto. [1] His research group, the matter lab, studies quantum chemistry, AI for chemical and materials discovery, quantum computing and self-driving chemical. [2]
The 2024 Nobel Prize in chemistry has been awarded to a trio of scientists who used artificial intelligence to “crack the code” of almost all known proteins, the “chemical tools of life ...
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.