A recurrent neural network structure exists in the most important part of the brain -- the frontal cortex -- and this network is less complex than has been thought and mostly unidirectional, new ...

During each of these phases, our brains show markedly different characteristics in their architecture, according to the new ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

Researchers mapped brain topology changes across the lifespan, identifying four critical turning points that shape neural ...

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 ...

Neuroscientists at the University of Cambridge have identified five "major epochs" of brain structure over the course of a ...

Layered metasurfaces trained as optical neural networks enable multifunctional holograms and security features, integrating ...

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 ...