Scientists from the Institute of Automation under the Chinese Academy of Sciences introduced "SpikingBrain-1.0," a large-scale model trained and inferred entirely on home-grown GPU computing.

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.

Navigating a busy street, a new city, or even your own home requires more than just memory of landmarks. Deep inside your brain, specialized networks act like a compass, constantly recalibrating so ...

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 ...

These models, inspired by so-called "reservoir" neural networks, simulate brain dynamics using connectivity principles based on the human connectome.

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 ...

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 ...

While modern artificial neural networks are the backbone of the current AI revolution, they are only loosely inspired by networks of real, biological neurons such as our brain. The brain however is a ...

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.