An increasing number of applications are powered by machine learning (ML), often in ways not immediately evident to an end user. The 2019 LAS Artificial Intelligence/Machine Learning team works in two broad areas. First, the analytic integrity group works to advance ML pipelines and workflows, accelerating the development and deployment of ML-driven applications and ensuring that end users can rely on the results they produce. Second, the applications group applies ML techniques in support of analyst research questions, advancing the state of the art in technology enhanced tradecraft.

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LAS aims to bring together a multi-disciplinary group of academic, industry, and government researchers, analysts and managers together to re-engineer the intelligence analysis process to promote predictive analysis. LAS will do this by conducting both classified and unclassified research in a variety of areas of research. The research done in this area will serve as the foundation for mission effects and integrated back into the enterprise.

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