THE JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY LLC
Department of Defense · Contract
AI-Readiness Score
3/19
AI / ML Relevance
2/9
Problem Framing
1/5
Awardee Quality
0/5
Award
$89,874,207
Award amount
—
Award date
FA881920F1005
PIID
Awardee
769
Total awards
$4,478,210,870
Total $ won
2.6/19
Avg AI score
Description
DEVELOPMENT OF A CAPABILITY THAT LEVERAGES PHYSICS-BASED MODELING, SIMULATION, AND ANALYSIS
Score Rationale
The award description contains zero explicit AI/ML techniques (no computer vision, NLP, anomaly detection, autonomous systems, or reinforcement learning mentioned) and instead emphasizes 'physics-based modeling, simulation, and analysis'—classic DoD modeling & simulation work that predates modern ML. JHU APL is an FFRDC (federally funded research center), a legacy research organization, not an AI-native startup. The problem statement is purely procedural ('development of a capability') with no operational context, end-user articulation, or success criteria; this reads as internal capability development rather than response to a specific warfighter problem.