Our mushy brains seem a far cry from the solid silicon chips in computer processors, but scientists have a long history of comparing the two. As Alan Turing put it in 1952: “We are not interested in ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

The brain is an extremely complex organ whose exact functioning remains difficult to understand. On average, the human brain contains 100 billion neurons that fire upon receiving input signals from ...

A neuron can rapidly combine and transform the information it receives through its synaptic inputs before the information is converted into neuronal output. This transformation can be defined by the ...

The best way to understand neural networks is to build one for yourself. Let's get started with creating and training a neural network in Java. Artificial neural networks are a form of deep learning ...

We are in the midst of a scientific and technological revolution. The computers of today use artificial intelligence to learn from example, and execute sophisticated functions that until recently were ...

Understanding the feed-forward mechanism is required in order to create a neural network that solves difficult practical problems such as predicting the result of a football game or the movement of a ...

C. elegans, with just 302 neurons, has long been considered an ideal model system for the study of the nervous system. New research, however, is suggesting that the worms' "simple" nervous system may ...

The last decade has seen remarkable improvements in the ability of computers to understand the world around them. Photo software automatically recognizes people’s faces. Smartphones transcribe spoken ...