Partner Content Introduction Speech recognition, handwriting recognition, face recognition: just a few of the many tasks that we as humans are able to quickly solve but which present an ever ...

A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. For example, Figure 5.1 shows a diagram of the retina of ...

Neural networks today do everything from cameras to translations. A professor of computer science provides a basic explanation of how neural networks work.

Neural networks hold this promise, but scientists must use them with caution – or risk discovering that they have solved the wrong problem entirely, writes Janelle Shane Generation game: Images of ...

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 have developed a new tool, bimodularity, that adds directionality to community detection in networks.

Neural networks have received a great deal of attention over the last few years. They are being used in the areas of prediction and classification, areas where regression models and other related ...

Reversible synaptic plasticity between sensory neurons and interneurons, switching between inhibitory and excitatory, underpins the neural basis of salt concentration memory-dependent preference ...