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…)

The OpenPOWER Machine Learning Work Group gathers experts in the field to focus on the challenges that machine learning developers are continuously facing. (more…)

A comprehensive guide on the best practices for businesses to operationalize machine learning workloads. (more…)

Most word embeddings used are glaringly sexist, let us look at some ways to de-bias such embeddings. (more…)

I know many data scientists, including myself, who do most of their work on a GPU-enabled machine, either locally or in the cloud, through Jupyter Notebooks or some Python IDE. During my two years as AI/ML software engineer that is exactly what I was doin... (more…)