Belleau Labs

NORTHROP GRUMMAN SYSTEMS CORPORATION

Department of Defense · Contract

AI-Readiness Score
10/19
AI / ML Relevance
7/9
Problem Framing
3/5
Awardee Quality
0/5

Award

$18,981,699
Award amount
Award date
HR001121C0132
PIID

Awardee

356
Total awards
$25,623,901,495
Total $ won
1.9/19
Avg AI score
View full awardee profile →

Description

FAST EVENT-BASED NEUROMORPHIC CAMERA AND ELECTRONICS (FENCE) AIMS TO DEVELOP AND DEMONSTRATE A LOW LATENCY, LOW POWER, EVENT-BASED CAMERA AND A NEW CLASS OF SIGNAL PROCESSING AND LEARNING ALGORITHMS THAT ENABLE INTELLIGENT SENSORS.

Score Rationale

AI/ML relevance scores 7 because the award explicitly names neuromorphic processing and 'learning algorithms' as core deliverables for an intelligent sensor system, but the scope mixes hardware (event-based camera, electronics) with algorithm development, diluting pure AI focus. Problem framing scores 3—'low latency, low power intelligent sensors' is identifiable but lacks specificity about the operational problem (e.g., which ISR/targeting/sensing domain, what latency threshold matters, why neuromorphic specifically). Awardee quality scores 0: Northrop Grumman Systems Corporation is a large legacy defense prime, not an AI-native startup, signaling this is traditional defense integration rather than emerging tech adoption.

Source

View on USAspending