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ARTIFICIAL INTELLIGENCE IN ARMY TACTICAL SYSTEMS

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
9268
Program Year/Program:
1989 / SBIR
Agency Tracking Number:
9268
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Xmco, Inc.
460 Spring Park Place, Suite 1500 Herndon, VA 22070
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1989
Title: ARTIFICIAL INTELLIGENCE IN ARMY TACTICAL SYSTEMS
Agency / Branch: DOD / ARMY
Contract: N/A
Award Amount: $459,000.00
 

Abstract:

XMCO BELIEVES THAT AI HAS THE POTENTIAL TO SIGNIFICANTLY INCREASE THE EFFICIENCY AND CAPABILITY OF FRONT-LINE UNITS AND SOLDIERS. THE POTENTIAL BENEFITS INCLUDE: (1) SURVIVABILITY - SAVE HUMAN LIFE BY PROVIDING RAPID ADVICE IN FAST-MOVING, STRESSFUL SITUATIONS; (2) DECISION ACCURACY - REDUCING THE PROBABILITY OF A CRITICAL MISTAKE BECAUSE THE SYSTEM IS NOT SUBJECT TO HUMAN FRAILTIES SUCH AS FATIGUE AND STRESS; (3) SIMULATION/TRAINING - PROVIDING AN EXCELLENT SIMULATOR FOR TRAINING FRONT-LINE PERSONNEL. THE SPECIFIC OBJECTIVES OF THE PHASE I RESEARCH EFFORT ARE TO INVESTIGATE THE FEASIBILITY FOR AI APPLICATIONS TO INFLUENCE AND ENHANCE THE DECISIONS AND CONTROLS REQUIRED FOR FRONT LINE SOLDIERS TO ACCOMPLISH THEIR MISSIONS AND TO SELECT HIGH-PAYOFF AI APPLICATIONS TO AID FRONT LINE SOLDIERS IN THEIR DECISION MAKING AND CONTROL FUNCTIONS. TO ACCOMPLISH THESE OBJECTIVES, XMCO WILL CONDUCT RESEARCH ON COMPANY LEVEL DECISION MAKING AND REQUIRED CONTROLS, DETERMINE THE PRESENT CRITICAL ISSUES AND PROBLEMS, ANALYZE, DEVELOP, AND PRIORITIZE C2 AND SUPPORT DECISIONS AND REQUIREMENTS AND SELECT HIGH-PAYOFF AI TECHNIQUES WITH POTENTIAL TO AID IN OVERCOMING ISSUES/PROBLEMS AND MEETING THE REQUIREMENTS.

Principal Investigator:

Charles J Garvey
7036489691

Business Contact:

Small Business Information at Submission:

Xmco Inc.
11150 Sunrise Valley Dr Reston, VA 22091

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No