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 increasing challenge to computer ...

An artificial neural network, one of the many ways to implement machine learning, is a model consisting of an interconnected group of nodes, typically with an input layer, an output layer, and one or ...

Computational neuroscientists taught an artificial neural network to imitate a biological neuron. The result offers a new way to think about the complexity of single brain cells. Our mushy brains seem ...

Neural networks have a reputation for being computationally expensive. But only the training portion of things really stresses most computer hardware, since it involves regular evaluations of ...

Dr. Tam Nguyen receives funding from National Science Foundation. He works for University of Dayton. There are many applications of neural networks. One common example is your smartphone camera’s ...

Deep learning promises to make computers far better at tasks like facial recognition, image understanding and machine translation. Our October puzzle asked you to play with simple artificial neural ...