How can we teach our machines to reason? Researchers in machine learning, signal processing, and information theory develop algorithms and computer-based procedures to mimic human perceptions, thoughts and actions. By looking at large amounts of data, learning methods are able to extract relevant information from video, photographs, audio, text, ultrasound, medical images, as well as a wide range of sensors and experimental measurements. But what is “information,” and how is it gathered, stored and processed? ECE researchers tackle these kinds of fundamental questions, applying mathematical reasoning, optimization procedures, and computational tools to engineering challenges. We seek technological solutions to problems in a variety of domains such as communications, medicine, the physical sciences, and the humanities.