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US Army Bets $2M on AI to Spot Anomalies in Sensor Data

US Army personnel demonstrate new sensor technologies during a Sensor-to-Shooter exercise at Joint Base Lewis-McChord, Washington, on March 24, 2021. Photo: Pfc. Karleshia Gater/DVIDS

The US Army is turning to artificial intelligence to make sense of mounting sensor data, awarding Unstructured a $2-million contract to develop tools that prepare sensor feeds for AI systems and spot anomalies across multiple sources.

Under the 18-month project, the company will build multimodal data pipelines that ingest and preprocess sensor data, turning it into AI-ready information for downstream models and agents.

It will also develop tools that help surface previously unknown patterns across different sensor sources.

Read the full story on Military AI: US Army Bets $2M on AI to Spot Anomalies in Sensor Data

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