Subgroup:

Advanced Analytics

Focus 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.