Iddo Drori, a computer science lecturer at the Massachusetts Institute of Technology, and his team has developed a machine learning model that can solve calculus, differential equations, and linear algebra problems sourced from undergraduate math courses at MIT and Columbia University.
The team has introduced a neural network that solves college-level math problems at a human level in seconds, according to their paper published in the Proceedings of the National Academy of Sciences. The model can also explain the solutions and generate new problems that students found indistinguishable from human-generated problems.
"This work automatically solves university-level mathematics course questions at a human level and explains and generates university-level mathematics course questions at scale," the paper says.
Faculty members can already use the new algorithm, which is available open source on GitHub, to build curricular content.
From Inside Higher Ed
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