Teaching neural networks how to solve PDEs was exciting, but past efforts weren’t very flexible. Once trained on a certain mesh size, the neural net is “very specific to that resolution,” said ...

If the network is more transparent, it’s easier to determine where the problems are cropping up. Of course. And if the network is smaller, it’s easier from the point of view of a human.

Every node in the neural network goes through a lot of steps. First, it gets data from the input layer or the previous hidden ...

To avoid this, the researchers add a phase function to the neural network that essentially prevents it from wrongly mixing different animation types — for instance, taking a step in the middle ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher. Artificial neurons—the fundamental building blocks of deep neural networks—have survived almost ...

Two Facebook researchers based in Paris have built a new neural network for Facebook capable of solving complex mathematical equations, even those dealing with calculus.; Their work is outlined in ...