AI systems may not need vast amounts of training data to begin behaving more like the human brain, according to new research ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

In the actual brain’s visual cortex, neurons are connected broadly and smoothly around a central point, with connection strength varying gradually with distance (a, b). This spatial connectivity ...

BALTIMORE — Artificial intelligence systems designed to physically imitate natural brains can simulate human brain activity before being trained, according to new research from Johns Hopkins ...

As neuromorphic systems learning neural networks, they show how connection between neurons are distinguished between those where there is a real connection and those where there is no connections.

Researchers mapped the brain connectivity of 960 individuals to uncover how fast and slow neural processes unite to support complex behavior.

Nia Therapeutics announced the publication of the first in vivo validation of its wireless, implantable brain-computer ...

Where the previous paper reported the analysis of one type of neural network trained to perform one task, the new paper reports the analysis of four types of neural networks trained to perform more ...

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 ...