In this video, we will understand forward propagation and backward propagation. Forward propagation and backward propagation ...

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...

As research into photonic computing progresses, scientists seek to optimize the performance of optical computing devices by making purpose-specific changes to their design. A team led by Bo Wu and ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

The study’s authors note that small neural networks—simplified versions of the neural networks typically used in commercial AI applications—can predict the choices of animals much better than ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Researchers from the French technological university IMT Atlantique have developed a novel neural-accelerated dynamic (NAD) model for heat pumps’ heat exchangers. This model integrates both the ...

“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 ...