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 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 ...

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

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 ...

Mohamad Hassoun, author of Fundamentals of Artificial Neural Networks (MIT Press, 1995) and a professor of electrical and computer engineering at Wayne State University, adapts an introductory ...

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

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