NATIVE: AI for Large-Scale Anomaly Detection in Imagery, Text, and Signals
Develop AI methods to process and analyze terabytes of multimodal data (imagery, text, signals) to detect anomalies, uncover patterns, and identify dataset biases and labeling needs to improve model accuracy and fairness. Note: only winners of the xTechIgnite prize competition will be eligible to submit an SBIR proposal for this topic; other proposals will not be evaluated.
DESCRIPTION In today's data-driven world, organizations, including the Army, face the challenge of managing and making sense of vast amounts of diverse data. This data comes from various sources, such as sensors, communication systems, operational logs, and more. The sheer volume and complexity …
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