Author: Jason Brownlee The Least Squares Generative Adversarial Network, or LSGAN for short, is an extension to the GAN architecture that addresses the problem of […] Read More
Category: Machine Learning
Latest Machine Learning News
Author: Kim Martineau | MIT Quest for Intelligence MIT professors David Sontag and Peter Szolovits don’t assign a textbook for their class, 6.S897HST.956 (Machine Learning for Healthcare), because there isn’t […] Read More
Author: Jason Brownlee Semi-supervised learning is the challenging problem of training a classifier in a dataset that contains a small number of labeled examples and […] Read More
Author: Peter Dizikes | MIT News Office Prime Minister Mark Rutte of the Netherlands visited MIT on Friday, taking an innovation-oriented campus tour with a […] Read More
Author: Jason Brownlee The Generative Adversarial Network, or GAN, is an architecture for training deep convolutional models for generating synthetic images. Although remarkably effective, the […] Read More
Author: Machine Learning vs. Climate Change: AI for the Greener Good Singularity Hub Climate change is one of the most pressing issues of our time. Despite […] Read More
Author: Jason Brownlee Generative Adversarial Networks, or GANs, are an architecture for training generative models, such as deep convolutional neural networks for generating images. The […] Read More
Author: /u/NoamBrown Hi all! We are Noam Brown and Professor Tuomas Sandholm. We recently developed the poker AI Pluribus, which has proven capable of defeating […] Read More
Author: A university leader’s glossary for AI and machine learning Inside Higher Ed Trying to understand this growing presence on campuses? Tim Renick and Drew Magliozzi […] Read More
Author: Jason Brownlee The Wasserstein Generative Adversarial Network, or Wasserstein GAN, is an extension to the generative adversarial network that both improves the stability when […] Read More