Interdisciplinary Research Area:
Data Science, Robotics and Cyberphysical Systems
Machine learning, natural language processing.
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Data science accelerates discovery across nearly all areas of science, engineering, and social science. Students and faculty in this area create new data-analysis techniques and harness advanced computing and storage systems to solve problems in biology, the environment, materials science, communications, security, transportation, and many other areas.
The use of robots is moving rapidly beyond controlled environments such as factories to complex environments in the midst of human activity, demanding a nimble cross-disciplinary approach. Princeton engineers are advancing the productive, safe, and ethical use of robotics in society by building and connecting expertise in sensing, artificial intelligence, neuroscience, public policy, and other fields.