An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

“When you write code to build an artificial neural network, you're basically defining this architecture,” explained Grace Lindsay, a computational neuroscientist at New York University. She uses ANNs ...

The weights in any ANN are always just real numbers and the learning problem boils down to choosing the best value for each weight in the network. This means there are two important decisions to make ...

Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological ...

Inspired by the human brain, artificial neural networks (ANNs) are a type of machine learning model containing multiple layers of interconnected nodes (or neurons) that can process data ... Scientists ...

Scientists have developed a new kind of laser-based artificial neuron that mimics a biological nerve cell. This artificial ...

Neural networks can be tuned to adapt to new data and situations, which essentially allows them to learn from experience and ...

Western researchers have developed a novel technique using math to understand exactly how neural ... understood process in the field of machine learning. "We create neural networks that can ...