The seven decades of "artificial intelligence" have been marked by exaggerated promises, surprising developments and ...

A collaborative team of researchers from Carnegie Mellon University and the University of Pittsburgh designed a clever experiment using a brain-controlled interface to determine whether one-way ...

However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input ...

Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these ...

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a ...

The next layer is the hidden layer. There can be several hidden layers in the same neural network. The last layer is the output layer. In this layer, there is one node for each class. Based on the ...

The Spiking Neural Processor T1 is an AI chip that's modeled on the way the brain detects patterns and could extend the ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...