Researchers at the Massachusetts Institute of Technology have solved a particularly challenging differential equation that dates back to the early 1900s. The explanation gets pretty technical pretty fast, but the point is that solving this equation enabled researchers to create a new type of artificial intelligence system that can learn on the spot and adapt to changing patterns, as opposed to traditional systems in which the machine learning is based on existing patterns or expected outcomes. Marketplace’s Kimberly Adams speaks with MIT researcher Ramin Hasani, who said it’s called a liquid neural network, and it kind of works like a human brain.
