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

Scientists have developed a new kind of laser-based artificial neuron that mimics a biological nerve cell. This artificial ...

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

A Hall thruster is a high-efficiency propulsion device using plasma that is used for various difficult space missions, such ...

Since then, it has been considered the reason why the operating principles of natural neural networks and artificial neural networks will forever be fundamentally different. At the borderline of ...

Miniaturized diffractive neural networks integrated with multimode fibers facilitate direct optical image transmission, ...

Rats perceive the world with a complexity that modern artificial neural networks struggle to match. This is the finding of a recent study published in the journal Patterns by the Visual Neuroscience ...

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. They are trained with vast quantities of data on high ...

Learn More A new neural-network architecture developed by researchers ... each serving a different function with different neural structures, and each capable of operating independently ...