This paper uses graph neural networks to fit into physical system and then uses symbols to recover real-world equations. And even was able to find a new equation.

The abstract does not tell a lot, but it is related to stars and the universe. Such as three planet problem, there is a complex motion from just three stars.

Can we drive the equations that governors the movement of the stars? We need to take into consideration the gravitation pull as well as SO many other things. (Newton just came up with the equation, we want to replicate this via AI)

Basically the dataset is frame by frame of how the orbital system develops, now looking at all of the frames in a long time.

We are able to learn how the orbits are related to one another aka we are able to find the equation. This is a very complex problem to solve.

Finding some kind of relationship, but when there are so many variables, there is a limit on the traditional method.

#artificial-neural-network #machine-learning #physics #ai #deep-learning

1.45 GEEK