Neural differential equations are a method where computers learn how things change by using mathematical equations that describe change.
Imagine you want to understand how the weather changes over time or how a car speeds up or slows down.
Neural differential equations help computers model such processes by learning the rules of change and thus being able to make predictions.
This method combines the advantages of classical differential equations with modern artificial intelligence.