Furthermore, the decision-making mechanisms of existing ML systems are often difficult to interpret, calling into question the use of such systems in mission-critical operations. This issue has limited the impact of state-of-the-art ML theory and methods in specialized applications. Many application domains may not be so well-defined and, while data rich, they tend to be label poor. ML has advanced considerably in recent years, but mostly in well-defined domains using huge amounts of human-labeled training data. The Center is developing the next-generation of Machine Learning (ML) theory, algorithms, and applications. The MADLab is a University Center of Excellence supported by the Air Force Office of Scientific Research (AFOSR) and the Air Force Research Lab (AFRL).
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