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 ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

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

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

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 ...

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

Researchers have successfully altered human reward learning using non-invasive transcranial ultrasound stimulation directed at a deep brain structure linked to motivation.

Geoffrey Hinton is one of the creators of Deep Learning, a 2019 winner of the Turing Award, and an engineering fellow at Google. Last week, at the company’s I/O developer conference, we discussed his ...

A new study published in Nature Neuroscience provides a detailed look at how the psychedelic drug psilocybin facilitates the ...