Empower DoD, other government agencies, industry partners, and academia to effectively utilize modeling and simulation capabilities, including emulators, prototypes, simulators, and stimulators, either statically or over time, to develop data as a basis for making managerial or technical decisions. It includes all classes of M&S, including the interface of real-world systems with models or simulations, as well as working with model elements, standards and specifications, and modeling system descriptions, interfaces, and data communication methods.
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Views on M&S and Machine Learning
This topic contains 0 replies, has 1 voice, and was last updated by 
plosiewicz 1 year ago.
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I recently moderated a workshop for AFOSR on Future Directions in Machine Learning (FDML). I am pulsing the community for feedback on newer developments. Would any of you be interested in providing feedback on Generative Adversarial Networks(GAN)?
For reference see this article:
https://medium.com/towards-data-science/generative-adversarial-networks-history-and-overview-7effbb713545-
This topic was modified 1 year ago by plosiewicz.
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