While neural networks (also called “perceptrons”) have been around since the 1940s, it is only in the last several decades where they have become a major part of artificial intelligence.This ...

Artificial Neural Network Architecture. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain a mathematical function, ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to ...

The brains of humans and other primates are known to execute various sophisticated functions, one of which is the ...

Let us consider an example problem, for which an artificial neural network is readily applicable. Of two classes of cancer, only one responds to a certain treatment.

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

See my previous article, Styles of machine learning: Intro to neural networks for an overview of how artificial neural networks operate. Our example for this article is by no means a production ...

In addition to studying network similarity, the paper is a crucial step toward characterizing the behavior of robust neural networks. Neural networks are high performance, but fragile. For example ...

It consists of layers of artificial neurons: The first layer receives the input data, and the last layer outputs the results. Even the experts who create neural networks don’t always understand ...

Using a neural network trained with simulations of supermassive black holes, astronomers have found that the one at the ...