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Our products are novel physically informed machine learning algorithms for imaging with acoustic and electromagnetic waves, known as network-based data-driven reduced order models. They were originally developed by the PI and consultants for oil exploration and then advanced for radar and sonar imaging in defense applications...
We are currently working on a project awarded by NASA that involves spectral gauging of large propellant tanks. This is a long standing problem for deep space exploration. Our technology enables us to significantly improve gauging accuracy and reliability, which can be particularly critical for crewed flights to the Moon and potentially to Mars.