Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

An artificial intelligence (AI) architecture based loosely on the behavior of neurons in the human brain. The neural network architecture comprises numeric parameters connected to each other in a ...

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles real data. Since its inception in 2014 with Ian Goodfellow’s ‘Generative ...