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 ...

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 ...

They recognized that even if the single-value functions generated by the theorem were not smooth, the network could still approximate them with smooth functions. They further understood that most of ...

If you're interested in exploring alternative activation functions, I recommend that you try and track down a relatively obscure 1991 research paper titled, "Efficient Activation Functions for the ...

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 ...

You can plug the Fathom into any USB-capable device and that device can begin to react cognitively and make its own decisions based on its programming. The key point is it can do this all natively ...

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 ...