Over the last several weeks, we’ve spoken to experts working on various aspects of the machine learning pipeline–from data wrangling to programmatic data labeling to specialized AI hardware. In today’s episode with ASRC’s Chief Data Scientist Aaron Dant, we discuss one of the central components of the machine-learning pipeline, deep learning models. In particular, we consider the novel challenges that arise as people get serious with deep learning, the crucial role of startups in tech, and the excitement surrounding deep learning projects.