Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

Neural networks also offer powerhouse performance, though less so; yet increasingly, even basic AI tools are harnessing relatively simple neural networks as part of their operations.

Artificial neural networks process data in a manner similar to the human brain. Written by eWEEK content and product recommendations are editorially independent. We may make money when you click ...

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, ...

One type of neural net with rising popularity is the generative adversarial neural network, or GAN. GANs are another evolution of artificial intelligence, frequently used to alter or generate images.

Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs ... behaviors.

A pilot program to use artificial intelligence to improve Nashville's water management system with an early warning system has gotten support.

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

The idea of thinking machines (Turing, 1950) and the term “artificial intelligence” were introduced in the 1950s (McCarthy, 2007). The 1960s and 1970s saw the development of neural networks. The 1980s ...