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

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

Artificial intelligence systems designed to physically imitate natural brains can simulate human brain activity before being ...

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, ...

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

“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 ...

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

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

Entry jobs are inputs, and middle managers are "dropout layers." See why the few remaining executives are surging.

Wildlife poaching remains a major conservation concern. Technological advancements have enabled webs of acoustic sensors to ...