On October 12, 2020, Distinguished University Professor, Larry Hall, gave a keynote talk titled “Explorations in BIG Data and Small Data with Deep Learning” at the IEEE International Conference on Systems, Man and Cybernetics. “The talk was about using Deep Learning with very large datasets and datasets that are smaller than people typically try deep learning on,” Hall said. The talk discussed how deep learning can be effective with very large temporal data sets for prediction of activities on social networks (GitHub, Twitter and Reddit). On the other end of the data size spectrum, it discussed how deep learning can be effective with small medical image data sets (Lung CT Images) to make predictions two years in the future.