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These algorithms are significant because they can solve the noncommutative weighted Edmonds' problem in polynomial time, demonstrating that certain complex problems can be tackled efficiently [2].
Here's why that's such a big deal But how can we know that the algorithms we write will work, when we don’t even have time to look at all the images?
More specifically, AFRL is seeking new algorithms and applications for several technical areas including automated pattern learning and reasoning; anomaly detection and characterization and assessment ...
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