Imagine watching a speaker and another person nearby is loudly crunching from a bag of chips. To deal with this, a person could adjust their attention to downplay those crunch noises or focus their ...

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 ...

Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human ...

Figure 1: Three studies apply statistical-physics approaches to understand neural networks. This artistic visualization renders a situation where the hierarchical structure of the data (above) is ...

Being able to noninvasively stimulate the deep brain without stimulating shallow regions is a key goal of non-invasive neurostimulation. Transcranial electrical stimulation (TES) is commonly used for ...

A new study that compares biological brains with artificial intelligence systems analyzed the neural network patterns that emerged during social and non-social tasks in mice and programmed artificial ...