If you attended my Introduction to Machine Learning class, or our March Madness Challenge (which we sadly won’t get to play out), you might have some ideas about how we can use AI to fight COVID-19. At a high level, machine learning is giving the computer many data samples so that it learns to identify something (training) then having the computer look at new data and identify it. My first thought was perhaps we could use lung imaging to diagnose the virus faster. We could train algorithms with CT scans of healthy lungs and scans of COVID-19 infected lungs. The algorithm should quickly be able to learn the differences and identify people with the virus at a high level of accuracy.