Air Force taps DCS for artificial intelligence (AI), modeling, and simulation for weapons effects

ASSET seeks to develop tools to model, analyze, assess, and predict mission-level effects based on sensor fusion or from modeling and simulation.
Feb. 24, 2026
3 min read

Key Highlights

Questions and answers:

  • What is the purpose of the ASSET program? To develop advanced tools to model, analyze, and predict mission-level effects of weapons, sensors, cyber operations, and electronic warfare (EW) to help military leaders make informed operational decisions.
  • Who received the ASSET contract and what are its details? DCS Corp. received a five-year, $94.7 million contract from the Air Force Research Laboratory at Wright-Patterson Air Force Base to carry out the ASSET program through February 2031.
  • What key technology areas does the ASSET program focus on? Mission effects modeling and analysis (MEMA); multi-domain sensing autonomy; support for strike, electronic warfare, and ISR missions; and battlespace decision support using artificial intelligence, machine learning, and autonomous systems.

WRIGHT-PATTERSON AFB, Ohio – U.S. Air Force researchers are asking DCS Corp. in Alexandria, Va., for new ways of predicting the effects of bombs, missiles, electronic warfare (EW), cyber attacks, and reconnaissance missions in military operations against potential enemies.

Officials of the Air Force Research Laboratory at Wright-Patterson Air Force Base, Ohio, announced a $94.7 million five-year contract to DCS last week for the Assessment of Sensing-Autonomy Sensor Exploitation Technologies (ASSET) program.

ASSET, sponsored by the Air Force Research Lab's sensors directorate, seeks to develop tools to model, analyze, assess, and predict mission-level effects from sensor fusion or from modeling and simulation. The project involves technologies related to artificial intelligence (AI), machine autonomy, and machine learning.

The program has goals in four technology areas: mission effects modeling and analysis; multi-domain sensing autonomy; support for key mission areas; and battlespace decision support.

Effects modeling

Mission effects modeling and analysis (MEMA) focuses on understanding, predicting, and evaluating how military operations perform under various conditions. It’s about simulating the weapons effects of systems, tactics, or environmental factors on mission outcomes. MEMA aims to answer questions like: “If we deploy this weapon system in this environment, how effective will it be?”

Modeling and simulation involves building virtual representations of missions, systems, and environments, including aircraft, ships, sensors, communications, and enemy behavior, and running scenarios where mission variables change to see their effects.

Applications can involve evaluating new weapons or sensors before deployment; training commanders with realistic simulations of battlefield conditions; risk assessment and contingency planning; and designing resilient systems and plans.

MEMA provides decision-makers with insights on how a mission likely will perform under realistic conditions to enable informed choices on tactics, technology investments, and planning.

Autonomous sensing

Multi-domain sensing autonomy combines autonomous decision-making with the ability to sense and operate across several different military environments. It involves how military systems can perceive, interpret, and act across land, sea, air, space, and cyber environments without constant human input. It’s about autonomous systems that understand and react to their surroundings in several different environments simultaneously.

Support for key mission areas targets improvements to strike, electronic warfare (EW), and intelligence, surveillance, and reconnaissance (ISR) missions. Battlespace decision support, meanwhile, enables autonomous and semi-autonomous systems to fuse information across domains and deliver actionable intelligence to warfighters quickly and reliably.

On this contract, DCS will do the work at Wright-Patterson Air Force Base in Dayton, Ohio, and should be finished by February 2031. For more information contact DCS Corp. online at www.dcscorp.com, or the Air Force Research Laboratory at www.afrl.af.mil.

About the Author

John Keller

Editor-in-Chief

John Keller is the Editor-in-Chief, Military & Aerospace Electronics Magazine--provides extensive coverage and analysis of enabling electronics and optoelectronic technologies in military, space and commercial aviation applications. John has been a member of the Military & Aerospace Electronics staff since 1989 and chief editor since 1995.

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