Artificial Intelligence

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 … Read More

Practical Challenges in AI Development

Practical Challenges in AI Development As developments in Artificial Intelligence advances we are constantly asked how can we build a truly strong AI?  Even better, how do we test such candidates? These are some of the challenges that researches and … Read More

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 … Read More