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…)

Posted by Quoc Le & Barret Zoph, Research Scientists, Google Brain team At Google, we have successfully applied deep learning models to ma... (more…)

A breakdown of the open-source machine learning feature store developed by Gojek with Google Cloud. (more…)

A coding tutorial for serving models to multiple users in parallel and scaling up and down based on the demand. (more…)

A machine learning learning PhD doesn’t only open up some of the highest-paying jobs around, it sets you up to have an outsized positive impact on the world. This comprehensive guide on machine learning PhDs from 80,000 Hours (YC S15) will help you get st... (more…)