We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

It's an AI-based upscaling solution that utilizes Recurrent Neural Networks (RNN), but to enable PSSR, Sony first had to create what it calls a "fully fused network." ...

Having a neural network locally on your mobile device could be hugely beneficial, and it may be possible thanks to research from a team at MIT.

However, a relatively new form of quantile regression is neural network quantile regression -- a variation of neural network regression. By using a custom loss function that penalizes low predictions ...

A simulation that uses machine learning predicts neural-circuit function in the fly brain from the connectivity between neurons.

By apparently overtraining them, researchers have seen neural networks discover novel solutions to problems.

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultraefficient models.