Behind every smart AI tool like ChatGPT or PLAUD AI is a workforce of human labelers, testers, and raters keeping things ...

Recently, text-based image generation models can automatically create high-resolution, high-quality images solely from ...

Scientists and engineers at UNSW Sydney, who previously developed a method for making green ammonia, have now turned to artificial intelligence and machine learning to make the process even more ...

Abstract: A machine learning (ML) model by combing two autoencoders and one linear regression model ... We show that by using an autoencoder, this problem can be solved. To verify the effectiveness, ...

The sparsity constraint can be implemented in various ways: The overall loss function for training a sparse autoencoder ... autoencoders can learn efficient and meaningful representations of data, ...

Masked autoencoders (MAEs) are a self-supervised pretraining strategy for vision transformers (ViTs) that masks-out patches in an input image and then predicts the missing regions. Although the ...

The demo sets up training parameters for the batch size (10), number of epochs to train (100), loss function (mean squared error), optimization algorithm (stochastic gradient descent) and learning ...