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Featured Projects
Subgroup:
Advanced AnalyticsFocus Area:
Artificial Intelligence Tools for Detecting Irregular Warfare Trends
Project Cost:
$3.3M
Project Duration:
24 months
Performer:
NuWave Solutions
Deliverable:
Software
End User:
U.S. Army G2, EUCOM
Description:
Virtual Anticipation Network (VANE) is a project with NuWave Solutions to use big data and machine learning to identify indicators and warnings of difficult to detect "gray zone" (e.g., hybrid or irregular warfare) attacks. VANE encompasses a number of tools that use machine learning to process unstructured data and highlight anomalies to make predictive forecasts on gray zone activity. VANE's core uses are: activity forecasting, anomaly and weak signal detection, what if/hypothesis analysis, scenario back-casting and likelihood assessment, and data exploration and visualization.
Operational Impact:
VANE applies machine learning to model the environment, identifying phenomena through anomaly detection, and then assesses/monitors phenomena through scenario modeling. Analysts can leverage VANE to reduce surprise, increase sensitivity to weak signals, improve objectivity, and scale analysis to more sensors.
Transition:
Will transition to U.S. Army G2.
