Such networks, known to mathematicians as graphs, are made up of nodes connected by edges. On a football pitch, each player ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

Dated reference to an animated superhero flick for children aside, Meta has been all about brain-computer interfaces for ...

One of the most agonizing experiences a cancer patient suffers is waiting without knowing: waiting for a diagnosis, waiting ...

Guided by the three-element theory of attitude in social psychology, the model assesses public attraction to specific ...

The full depth of the show hasn’t been accessible to humans — imagine a faint AM radio signal from a distant station. Now, ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision making.

Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

A study has found that the cortex acts like a "memory machine", encoding new experiences and predicting the near future, ...