Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases.

As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

A new study introduces an innovative method to monitor sludge moisture content in real-time, combining jet imaging and deep ...

The field of voice separation has made revolutionary progress in addressing the challenging 'cocktail party problem' with the ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...