How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

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. Neural networks are the ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...

Shifting focus on a visual scene without moving our eyes - think driving, or reading a room for the reaction to your joke - ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

A Japanese research team has successfully reproduced the human neural circuit in vitro using multi-region miniature organs ...