Lockheed Martin secures $4.6 million DARPA contract for AI tools in dynamic airborne missions

  • Lockheed Martin awarded $4.6 million DARPA contract for AI tools in dynamic airborne missions.
  • Initiative under DARPA’s AIR program to enhance modeling and simulation (M&S) with AI agents for BVR missions.
  • Focus on improving speed and predictive accuracy of government models for real-world defense systems.
  • Utilization of AI and ML techniques to develop surrogate models for aircraft, sensors, electronic warfare, and weapons.
  • ARISE infrastructure to provide extensive data resources for informed decision-making by service members.

Main AI News:

Lockheed Martin has secured a $4.6 million contract from DARPA to develop advanced AI tools for dynamic airborne missions, marking a significant step forward in defense technology. Under DARPA’s Artificial Intelligence Reinforcements (AIR) program, Lockheed Martin aims to revolutionize modeling and simulation (M&S) methods and create AI agents capable of handling live, multi-ship, beyond visual range (BVR) operations.

The initiative seeks to elevate the speed and accuracy of existing government models, ensuring they better reflect real-world Department of Defense systems. Over the next 18 months, Lockheed Martin will deploy cutting-edge AI and machine learning (ML) techniques to construct surrogate models for aircraft, sensors, electronic warfare systems, and weaponry in highly dynamic operational environments.

By leveraging its robust ARISE infrastructure, Lockheed Martin plans to deliver extensive data capabilities, empowering military personnel to make rapid, well-informed decisions.

Conclusion:

This development underscores Lockheed Martin’s strategic alignment with DARPA’s AI Reinforcements program, positioning them at the forefront of advancing defense capabilities through AI and machine learning. It signals a significant technological leap in modeling and simulation for dynamic airborne missions, likely influencing future defense procurement and operational strategies in the market.

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