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Cognitive EW: Data Requirements for AI


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A common myth is that we need a lot of data to train an AI-ML system. This myth not only causes developers to fear data collection, but also causes developers to create solutions that are not fieldable. EW systems can leverage first-principle models (such as physics), feature engineering, and progression of the engagement to dramatically reduce the data collection requirements, and create systems that can learn on single observations of novel environments.