Using neural networks to solve advanced mathematics equations

Facebook AI has built the first AI system that can solve advanced mathematics equations using symbolic reasoning. By developing a new way to represent complex mathematical expressions as a kind of language and then treating solutions as a translation problem for sequence-to-sequence neural networks, we built a system that outperforms traditional computation systems at solving integration problems and both first- and second-order differential equations. Previously, these kinds of problems were considered out of the reach of deep learning models, because solving complex equations requires precision rather than approximation. Neural networks excel at learning to succeed through approximation, such as recognizing that a particular pattern of pixels is likely to be an image of a dog or that features of a sentence in one language match those in another. Solving complex equations also requires the ability to work with symbolic data, such as the letters in the formula b - 4ac 7.