Neural Lambda Machines and Software 2.0

In 1956, the field of modern Artificial Intelligence (AI) was born. In the early days of AI, top researchers tried to develop rule-based systems that computer programs could follow to mimic human behavior. We discovered that this rule-based approach in … Read More

Neuroevolution in Neurales

Neurales and Neuroevolution  Neuroevolution is the application of Genetic Algorithms (GAs) to the creation of neural networks. For supervised learning, suppose we are given a dataset. We start off with a population of random models with random hyperparameters + training … Read More

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

Machine Learning Doesnt Have To Be Hard

Machine Learning is complex, but it does not have to be hard. There are many things that we use daily that are very complex, but thanks to many innovations they have become very easy to use and add a lot … Read More