The goal of a regression problem is to make a prediction of a numeric value. For example, you might want to predict the price of a house based on its square footage, age, ZIP code and so on.

The goal of a binary classification problem is to make a prediction that can be one of just two possible values. For example, you might want to predict the sex (male or female) of a person based on ...

A pair of researchers from Columbia University recently built a self-replicating AI system. Instead of painstakingly creating the layers of a neural network and guiding it’s development as it becomes ...

Having taken on everyone from chess grandmasters to chefs, computers are further exploring their artistic side with computer scientists demonstrating how artificial neural networks can create works of ...

Google has announced the release of improved technology that makes it easier and faster to research and develop new algorithms that can be deployed quickly. This gives Google the ability to rapidly ...