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The DARPA Space Environment Exploitation (SEE) program seeks to develop new models and sensing modalities to predict and observe the dynamics of the near-earth space environment. The SEE program explores how to go beyond magnetohydrodynamic descriptions of the magnetosphere, ionosphere, thermosphere coupled system to include wave/wave, wave/particle, and particle/particle interactions while using the latest advances in high performance computing such as GPUs and TPUs.
Machine learning has shown remarkable success across many application areas
in recent years, leveraging advances in computing power and the availability
of large sets of training data. It provides a tremendous opportunity to
deploy data-driven systems in more complex and interactive tasks including
personalized autonomy, agile robotics, self-driving vehicles, and smart
cities. Despite dramatic progress, the machine learning community still
lacks an understanding of the trade-offs and mathematical limitations of
related technologies for a given domain, problem, or dataset.
The mission of the Defense Advanced Research Projects Agency is to make strategic, early investments in science and technology that will have long-term positive impact on our nation's national security. In support of this mission, DARPA has pioneered groundbreaking research and development (R&D) in Artificial Intelligence (AI) for more than five decades.