Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Houston Methodist neuroscientists have developed a first-of-its-kind method to rapidly produce synchronized, human brain wave ...

The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.

How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers ...

Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.

Sometimes in the rush to explore our interactions with neural nets (often in the form of LLMs) we forget to think about our own operating system and how it works. Of course, scientists did spend a lot ...

A Japanese research team has successfully reproduced the human neural circuit in vitro using multi-region miniature organs ...

Our ideas, tastes, and abilities to innovate and create shape up during different life stages. Scientists have identified ...

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 ...