Researchers at the University of Oklahoma combined density functional theory calculations with graph neural networks to ...

As artificial intelligence becomes more powerful, its ability to handle humanlike tasks is undeniable. Artificial neural ...

Handwired is an OSS library that rewrites program if-statements and loops into a neural network that produces the same ...

Researchers at Zhejiang University and Hangzhou City University have developed DeepMoCo, a graph neural network framework ...

Trained optical layers classify hidden features of laser beams, offering a new way to decode information carried by ...

A recurrent neural network is a type of artificial neural network commonly used in speech recognition and natural language processing. Recurrent neural networks recognize data's sequential ...

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 ...

Wits physicists have built an optical neural network that reads hidden topology in structured light without first imaging it, ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

Much of what makes us human is the power of our brain and cognitive abilities. The human brain is an organ that gives humans the power to communicate, imagine, plan and write. However, the brain is a ...

Here, the authors show that aging affects brain networks differently, with neural changes mirroring the preservation or decline of the cognitive functions they support. The multiple demand network ...