Where there are roads and cars, there are potholes. And in Los Angeles, which has over 7,000 miles of road, it can be hard to track them all. To help, three loyolamarymount students developed a program using TensorFlow, Google’s open-source machine learning platform, that analyzes footage of local roads to identify potholes, cracks, and other road damage. See our story today for more on their project, and head over to IGTV to watch a short film about it. #SearchOn