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…)

This post is part of a series about machine learning and artificial intelligence. Click on the blog tag “huskyai” to see related posts. (more…)

This article explains quantum machine learning for beginners, a promising field that applies quantum computing to machine learning and deep learning. (more…)

Posted by Łukasz Kaiser, Senior Research Scientist, Google Brain Team and Aidan N. Gomez, Researcher, Department of Computer Science Machine... (more…)

Every test that’s done on a computer means one less animal caged and experimented on, and that’s something that every animal advocate should celebrate. (more…)