Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they're like optical illusions for machines. In this post we'll show how adversarial examples work across differen... (more…)

Teaching computers to read was one of the 20th century's great challenges. At first, the secret to optical character recognition was purpose-built type. (more…)

Intelligent X is using machine learning algorithms to perfect the process of brewing craft beers. Coming up with new brews and refining them using customer feedback, they’re hoping to stay one step ahead of tastes. Globalive Chairman Anthony Lacavera sits... (more…)

This is a step-by-step walkthrough of a basic machine learning project, geared toward people with some knowledge of programming, but who don’t have much experience with machine learning. (more…)

Have you looked at Google Trends? It’s pretty cool — you enter some keywords and see how Google Searches of that term vary through time. I… (more…)