The R language simplifies the creation of neural network classifiers with an add-on that lays all the groundwork.

In this post, I will briefly review the deep learning architectures that help computers detect objects. Convolutional neural networks One of the key components of most deep learning–based ...

A computer Go program based on deep neural networks defeats a human professional player to achieve one of the grand challenges of artificial intelligence.

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 ...

Prior work has found that neural networks can be trained to predict geomorphic parameters from synthetic topography with a high degree of accuracy. In this work, we attempt to predict groundwater ...

How does consciousness arise? Researchers suspect that the answer to this question lies in the connections between neurons. Unfortunately, however, little is known about the wiring of the brain ...