DCGAN Neuroevolution at Neurales

GAN experiment (Computer Vision) A Generative Adversarial Network (GAN) is a Deep Learning model that has two actors: the Discriminator and the Generator. The goal in training a GAN is to have the generator create realistic looking fake data samples from noise, while the Discriminator learns to distinguish between the true data and the fake …

How Should We Test for AI Intelligence?

Often AI is portrayed as being purely logical and lacking the sometimes unnecessary emotions that most human experience. Many scientists argue that if an AI is intelligent it will learn that it will need to understand human emotions in order to effectively function in human society. There is no doubt that intelligence, emotions, and consciousness …