Artificial Intelligence Integration Center


The launch of the Artificial Intelligence Integration Center allows the Army to better connect with the broader artificial intelligence community and focus their efforts in this dynamic field. As part of Army Futures Command, the AI Integration Center will leverage the AI Hub and engage universities and companies from across the nation by building upon initial successes at Carnegie Mellon University and the vibrant robotics and AI communities in Pittsburgh, Pennsylvania, and Austin, Texas.

AI Modernization Portfolios

In accordance with the Army Modernization Strategy and aligned with the current Army Artificial Intelligence Strategy, AI2C has 10 AI Modernization Portfolios:

Basic Research
Force Application
Infrastructures & Platforms
Force Integration
Command & Coordination
Net-Centric Capabilities
Corporate Management & Support
Battlespace Awareness
  1. Basic Research: The AI2C Basic Research Hub is a consortium of industry, government, and academia focused on AI basic research originating from world leaders in academic research pertaining to AI/ML breakthrough technologies for future application to Army-relevant areas. We are continually expanding our team of research partners with added value to the Army’s mission.
  2. Infrastructures & Platforms: The adoption of AI-enabled capabilities across multiple applications throughout the Army enterprise.
  3. Sustainment: AI development for sustainment can reduce life cycle costs through efficient maintenance programs.
  4. Force Integration: Developing AI-enabled force integration tools can increase readiness and reduce labor-intensive analysis and reporting.
  5. Force Application: AI development allowing human users to manage engagements as efficiently and effectively as possible.
  6. Net-Centric Capabilities: AI capabilities require secure protocols to protect data, identities, and access to the network.
  7. Command & Coordination: AI enabled mission command is the application of Commander’s intent while organizing, understanding, planning, deciding, directing, and monitoring at all levels.
  8. Corporate Management & Support: AI/ML staff solutions to increase efficiency and reliability while being timely and auditable.
  9. Battlespace Awareness: Situational awareness through AI that reduces the time it takes to observe, orient and decide on the battlefield.
  10. Protection: Operationalize AI/ML for more agile unit maneuverability during prevention, mitigation, and recovery activities.

Research Areas of Interest

  1. Autonomous Platforms - The Army is particularly interested in research in autonomous ground and air vehicles, which must operate in open, urban and cluttered environments.
  2. Artificial Intelligence and Machine Learning Algorithms (AI/ML) - The Army is interested in core algorithmic improvements to improve its mission capabilities and analysis of scaled data sets.
  3. AI-Based Decision Making – The Army is interested in research on AI algorithms and systems to improve decision making across all echelons.
  4. Analysis and Human-Machine Interfaces - The Army is interested in AI/ML research in areas which can reduce the cognitive burden on humans and improve overall performance through human-machine teaming.
  5. Data Visualization and Synthetic Environments – The Army is interested in research that enables improved situational awareness and the visualization and navigation of large data sets to enhance operational activities and training and readiness.
  6. Position, Navigation, and Timing (PNT) – The Army is interested in research involving novel PNT technologies for many capabilities including autonomous vehicles, communications, and land navigation.
  7. Sensing – The Army is interested in developing a detailed understanding of the environments and activities in the areas where it operates.
  8. Communications & Networks – It is critical the Army maintain secure, reliable communications for Soldiers, vehicles, and at fixed locations even in austere environments.
  9. Internet of Things (IoT) – The Army needs to better integrate a wide range of capabilities and equipment and capitalize on commercial developments in industrial and human IoT.
  10. Human Performance – The Soldier is the foundation of all Army capabilities. Technologies that reduce Soldiers’ mental or physical burden and allow them to react faster than their adversaries.
  11. Underpinning Methodologies - Methodologies, frameworks, tools, facilities, techniques, and experimentation concepts, which underpin and enable advanced research and development are of interest.

Learn more about our Research Areas of Interest

The AI Integration Center Team

We are inviting all individuals and teams that would be interested in leading or collaborating in the development of solutions for these Areas of Interest and identify opportunities to meet the Army’s many other needs.

Are you the solution? Submit ideas / capabilities here.


Douglas M. Matty, SES

Director of Army Artificial Intelligence, Army Futures Command

Dr. Douglas Matty is the Director, Army Artificial Intelligence Capabilities. His organization is responsible for the development, coordination and synchronization of Artificial Intelligence capability development for the Army. This includes all aspects of AI-enhanced capabilities, particularly materiel and workforce development. The organization, reporting directly to the U.S. Army Futures Command, is based in Pittsburgh, PA.