As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Neural networks have emerged as powerful tools in the field of neutron spectrometry and dosimetry by offering non-linear, data‐driven approaches to reconstruct complex neutron energy spectra and ...

The human brain is an astonishing organ, as any neuroscientist can attest. And its ability to collect, store, analyze and use information is intriguing to physicists, engineers and computer scientists ...

Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human ...

Artificial neural networks (ANNs) have evolved into a cornerstone of computational intelligence, drawing inspiration from the intricate connectivity of the human brain. These architectures consist of ...

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. Neural networks are the ...

AI-generated songs are becoming increasingly popular on music streaming platforms. A great number of music lovers are drawn ...

The future of AI points toward systems that are more general, adaptive, and integrated. Artificial General Intelligence, or ...

Key opportunities in the AI in Transportation market include advancing autonomous vehicle technologies for safer roads, ...