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

What Is an Artificial Neural Network? An artificial neural network (ANN) is a type of machine learning model inspired by neurons in the brain. 1,2 The individual components of the ANN receive ...

Artificial intelligence is advancing at an unprecedented pace, bringing innovations that once seemed impossible into our ...

Princeton engineers used neural networks and metasurfaces to bend ultrahigh-frequency beams around obstacles, tackling signal collapse in cluttered environments.

When we talk about artificial intelligence, we often mean machine learning using artificial neural networks. This technology was originally inspired by the structure of the brain.

The prize goes to John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks,” the Royal Swedish Academy of ...

AI models like artificial neural networks and language models help scientists solve a variety of problems, from predicting the 3D structure of proteins to designing novel antibiotics from scratch.

As a result, researchers are increasingly turning to synthetic data to supplement or even replace natural data for training neural networks. “Machine learning has long been struggling with the data ...