A group of researchers has done a study with a network science approach, measuring the connections between different brain regions as participants learned to play a simple game. The differences in ...

The learn rate controls how quickly the neural network weight and bias values change. The quantile rate controls how fast the current effective quantile loss changes, which prevents the training ...

Artificial Neural Networks: Learning by Doing Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...

Artificial neural networks learn better when they spend time not learning at all Periods off-line during training mitigated 'catastrophic forgetting' in computing systems Date: November 18, 2022 ...

Neural networks today do everything from cameras to translations. A professor of computer science provides a basic explanation of how neural networks work.