In this crash course on GANs, we explore where they fit into the pantheon of generative models, how they've changed over time, and what the future has in store for this area of machine learning. (more…)

Testing machine learning and AI algorithms is hard. In fact, testing scientific software in general is hard, and there has been some literature on this more general topic. As said in the introduction of Carver et al (2017)[1]: The development of scientifi... (more…)

We've developed a new framework for reinforcement learning, a subset of machine learning. This video shows the framework applied to an autonomous RC car that... (more…)

What a journey it has been. I wrote quite a bit about machine learning from a red teaming/security testing perspective this year. It was brought to my attention to provide a conveninent “index page” with all Husky AI and related blog posts. Here it is. (more…)

Sasha Rosenbaum shows how a CI/CD pipeline for Machine Learning can greatly improve both productivity and reliability... (more…)