Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

Neural networks can use self-supervised learning to figure out what matters. This process might be what helps humans do the same.

A team of scientists found a surprising similarity between how human brains and artificial neural networks perceive the world. In the human brain, visual information passes through several ...

Computational models that mimic the structure and function of the human auditory system could help researchers design better hearing aids, cochlear implants, and brain-machine interfaces.

This science of human decision-making is only just being applied to machine learning, but developing a neural network even closer to the actual human brain may make it more reliable, according to ...

These neural networks may be complex systems yet they have some core principles. Inspired by the human brain, they seek to copy or simulate forms of biological and human thinking.

Building chips with analogs of biological neurons and dendrites and neural networks like our brains is also key to the massive efficiency gains Rain Neuromorphics is claiming: 1,000 times more ...

Over the course of their lives, humans can sometimes acquire fear responses to specific stimuli, animals, objects or ...

The future of software development isn’t just about who codes faster—it’s about who can express intent more naturally.

A neural network derived from a cerebral organoid Scientists growing miniature brains in a lab have created neural networks that act like those in the human brain. They hope the discovery will ...