# Artificial Intelligence and Machine Learning Advanced Technologies — Program Element 0603040A

**Program element:** 0603040A  
**Component:** U.S. Army  
**Appropriation:** 2040 — RDT&E, Army  
**Budget Activity:** 3 — Advanced Technology Development  
**Vintage:** President's Budget PB2027  
**Canonical URL:** https://hitchintel.com/programs/0603040A

## Summary

U.S. Army funding falls 100% to a $0.0M request in FY2027 (down from a FY2026 peak). In the FY2027 defense authorization, the Senate added $8.0M (to $8.0M).

## Funding profile

| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 25.0 |
| FY2026 | Enacted | 37.5 |
| FY2027 | Request | 0.0 |
| FY2028 | Outyear | 0.0 |
| FY2029 | Outyear | 0.0 |
| FY2030 | Outyear | 0.0 |
| FY2031 | Outyear | 0.0 |

> Estimate types are not summed — the profile mixes actuals, enacted law, the request, and outyear projections.

## Congressional marks (FY2027)

| Stage | Marked ($M) | Change ($M) |
|---|---|---|
| Request | 0.0 | — |
| Senate NDAA (SASC) | 8.0 | +8.0 |

> FY2027 NDAA authorization marks, as of 2026-07-27. Not appropriations or final law.

## Projects (7)

| Project | Title | FY2025 actual | FY2026 enacted | FY2027 request | Move |
|---|---|---|---|---|---|
| CT8 | Army AI Integration Center Adv Research (CA) | 12.0 | 17.0 | — | −100% |
| CL6 | ATR Using Multiple Cooperative Sensors Adv Tech | 5.9 | 6.5 | — | −100% |
| CN6 | Predictive Maintenance Advanced Technology | 1.9 | 5.3 | — | −100% |
| DA7 | AI-Enabled Command and Coordination Adv Tech | 1.1 | 3.3 | — | −100% |
| DE9 | AI Development Environment Advanced Technology | 1.9 | 2.8 | — | −100% |
| CL1 | AI Enhanced Intel Operations Advanced Technologies | 2.2 | 1.9 | — | −100% |
| DN3 | AI Enabled Contested Logistics Spt Tools Adv Tech | — | 0.7 | — | −100% |

> Projects are the summable leaves: the program element total is their sum, never added to it.

### Project CT8 — Army AI Integration Center Adv Research (CA)

Congressional Interest Item funding provided for Army AI Integration Center Advanced Research.

### Project CL6 — ATR Using Multiple Cooperative Sensors Adv Tech

This project will mature and demonstrate Artificial Intelligence (AI) algorithms/models and supporting systems that leverage a team of air and ground sensors to autonomously navigate and collaborate through shared perception of the optical, thermal, and electromagnetic spectrums to find, identify, geo-locate, track, and help engage targets during reconnaissance missions. These technologies will produce a mix of fully integrated software, AI algorithms/models, and ground-based/aerial-based drones to execute reconnaissance and engagement tasks in battlefield conditions. Work in this project complements Program Element (PE) 0602180A (Artificial Intelligence and Machine Learning Advanced Technologies) / Project CL7 (ATR Using Multiple Cooperative Sensors App Tech) Work in this project supports the Army Science and Technology Lethality Portfolio and the Joint Artificial Intelligence Center (JAIC).

| Activity (R-2A) | FY2025 | FY2026 | FY2027 |
|---|---|---|---|
| Collaborative Target Detection and Tracking | 5.9 | 6.5 | — |

> R-2A activities carry the prior, current and budget year only — no five-year plan. Coverage is partial, so count them, never total them.

### Project CN6 — Predictive Maintenance Advanced Technology

This project matures and demonstrates artificial intelligence (AI) and machine learning (ML) tools and capabilities to predict and analyze maintenance status for emerging and legacy aviation and ground platforms. Will extract maintenance data from databases and sensors and make inferences of missing data via virtual simulations and improve and provide AI data capture and other AI tools for enterprise maintenance resource planning for military aviation and ground vehicles. Platforms of focus will be prioritized by cost and value to Army missions and include the UH60, AH64, CH47, Stryker, and Abrams. Each platform will be sequentially evaluated both at the component (i.e. engine health) and fleet level. This project matures and demonstrates the use of predictive maintenance to increase fleet operational readiness through reduced downtime by preventing critical failure during missions to maximize availability to combatant commands. Results from this project will inform requirements and technical architectures for a predicative maintenance platform that will include data engineering, data pipelines, AI development eco-system, and application delivery. These technologies will produce a suite of applications hosted at both the enterprise and at the edge that provide AI-enabled support tools decision-making for maintainers and commanders. Work in this project complements Program Element (PE) 0602180A (Artificial Intelligence and Machine Learning Advanced Technologies) / Project CN7 (Predictive Maintenance Applied Research). Work in this project is performed by the Artificial Intelligence Integration Center (AI2C).

| Activity (R-2A) | FY2025 | FY2026 | FY2027 |
|---|---|---|---|
| PMx Platform Data Management and Integrated Environment Refinement | 1.9 | 5.3 | — |

> R-2A activities carry the prior, current and budget year only — no five-year plan. Coverage is partial, so count them, never total them.

### Project DA7 — AI-Enabled Command and Coordination Adv Tech

This project matures and demonstrates solutions for Artificial Intelligence (AI)-enabled Command and Coordination (C2) that provide timely understanding and application of the commander's intent. This project improves sensor-to-shooter and course of action development timelines by developing algorithms, software, and hardware to efficiently capture, transport, process, and convey complex battlefield data into user friendly, streamlined, interfaces. This project also exploits advances in the application of game theory to explore hypothetical operational scenarios that inform mission planning. These technologies will optimize mission command and network capabilities to fully realize AI on the battlefield. These technologies will produce software, novel algorithms and models, and knowledge products that focus on enabling commanders and their staffs with the ability to conduct mission command to achieve C2 overmatch. Work in this project complements Program Element (PE) 0602180A (Artificial Intelligence and Machine Learning Technologies) / Project DA6 (AI-Enabled Command and Coordination Apl Research). Work in this project is performed by the Artificial Intelligence Integration Center (AI2C).

| Activity (R-2A) | FY2025 | FY2026 | FY2027 |
|---|---|---|---|
| AI-Enabled Common Operating Picture and Battle Tracking | 0.5 | 0.5 | — |
| AI Foundations for Command and Coordination | 0.4 | 0.4 | — |
| AI Enhanced Planning for Optimal Operations | 0.3 | 0.3 | — |
| Soldier Assistant Language Technologies | — | 2.1 | — |

> R-2A activities carry the prior, current and budget year only — no five-year plan. Coverage is partial, so count them, never total them.

### Project DE9 — AI Development Environment Advanced Technology

This project funds the Army lacking a common platform to develop AI/ML. This results in siloed and duplicative work that is inefficient. Many current solutions have narrow application and are proprietary, requiring additional funding, time, and labor to make even minor modifications. The AI-enabled Army of the future will require low cost, rapid AI/ML solutions at the edge. This project will mature and demonstrate a set of platform(s), and infrastructure optimized for Army use and ready for rapid employment in enterprise, multi, and hybrid cloud environments to support modular software (cloud native) intended to continuously develop and integrate AI/ML models. It will mature and demonstrate hardware and software technologies, including cloud native applications and infrastructure for globally dispersed AI/ML development collaboration, artifact sharing, automated resource provisioning, and continuous ML Operations. The AI Development Environment will provide the AI-enabled Army of the future with low cost, rapid AI/ML solutions at the edge and accelerated algorithm development for faster delivery to the field.as well as less expensive AI/ML development by leveraging shared resources.These technologies will produce a software prototype deployed in a cloud environment to demonstrate ability to conduct distributed development of AI/ML solutions. Work in this project complements Program Element (PE) 0602180A (Artificial Intelligence and Machine Learning Advanced Technologies) / Project DE8 (AI Development Environment Applied Research). Work in this project is performed by the Artificial Intelligence Integration Center (AI2C).

| Activity (R-2A) | FY2025 | FY2026 | FY2027 |
|---|---|---|---|
| Artificial Intelligence Development Environment Advanced Technology Development | 1.9 | 2.8 | — |

> R-2A activities carry the prior, current and budget year only — no five-year plan. Coverage is partial, so count them, never total them.

### Project CL1 — AI Enhanced Intel Operations Advanced Technologies

Artificial Intelligence (AI) Enabled Intelligence Fusion for Targeting will address a "multi-INT" fusion problem and mature and demonstrate how AI algorithms can fuse data from various military intelligence systems to support sensor to shooter automation for the strategic, operational, and tactical levels. This effort will mature and demonstrate AI capabilities for support of Long-Range Precision Fires, Mission Command, and Maneuver Commanders by exploiting Intelligence Community enterprise investments in sensing, data transport, and Machine Learning (ML) / AI frameworks. These technologies will produce software, novel algorithms and models, and knowledge products. Work in this project complements Program Element (PE) 0602180A (Artificial Intelligence and Machine Learning Advanced Technologies) / Project CL2 (AI Enhanced Intel Operations Technologies). Work in this project is performed by the Artificial Intelligence Integration Center (AI2C).

| Activity (R-2A) | FY2025 | FY2026 | FY2027 |
|---|---|---|---|
| AI Enabled Intelligence Fusion for Targeting | 1.2 | 0.9 | — |
| Foundation for AI Intel Support to Operations | 1.0 | 1.0 | — |

> R-2A activities carry the prior, current and budget year only — no five-year plan. Coverage is partial, so count them, never total them.

### Project DN3 — AI Enabled Contested Logistics Spt Tools Adv Tech

This project provides AI-enabled contested logistics tools to warfighters for all platforms (legacy and future) at all echelons. This effort will improve data from systems of record and leverage additional data streams to provide a complete picture of logistics and sustainment operations in contested environments. This project will provide analysis of maintenance operations, asset visibility, and people personnel capacity to assess current and predict future unit readiness and reduce to logistics and sustainment decision making timelines in contested environments. These technologies will provide a suite of applications uniquely tailored to the end-user that demonstrates machine learning capabilities across the force with regards to contested logistics. Work in this project complements Program Element (PE) 0603040A (Artificial Intelligence and Ma chine Learning Advanced Technologies) / Project CN6 (Predictive Maintenance Advanced Technology). Work in this project is performed by the Artificial Intelligence Integration Center (AI2C).

| Activity (R-2A) | FY2025 | FY2026 | FY2027 |
|---|---|---|---|
| Federated Predictive Logistics Adv Tech Dev | — | 0.2 | — |
| Contested Logistics Decision Support Tools | — | 0.5 | — |

> R-2A activities carry the prior, current and budget year only — no five-year plan. Coverage is partial, so count them, never total them.

## Mission & acquisition strategy

This PE will mature and demonstrate advanced technologies using artificial intelligence (AI) and machine learning (ML) to improve target recognition/detection using multiple cooperative autonomous sensors, leader decision-making, and replication of tactical behaviors to enable autonomous capabilities for maneuver, predictive maintenance, talent management, Intel support for Operations, network and cybersecurity and medical support. The Army's Artificial Intelligence Integration Center (AI2C) will provide strategic guidance and coordination of these advanced research efforts in AI/ML across the Army Modernization enterprise.

## Related program elements

- [0602180A — Artificial Intelligence and Machine Learning Technologies](https://hitchintel.com/programs/0602180A) (Army)
- [0601601A — Artificial Intelligence and Machine Learning Basic Research](https://hitchintel.com/programs/0601601A) (Army)
- [0305205N — UAS Integration & Interoperability](https://hitchintel.com/programs/0305205N) (Navy)
- [0608140D8Z — Enterprise Platform and Capabilities Software Pilot Program](https://hitchintel.com/programs/0608140D8Z) (Defense-Wide)

## Source & machine access

- **Source:** FY2027 Department of the Army RDT&E Budget Justification, Exhibits R-2/R-3, PE 0603040A (PB PB2027); FY2027 NDAA committee marks (as of 2026-07-27).
- **MCP:** `mcp.hitchintel.com` — `budget_get_program_element(pe="0603040A")`.

*HitchAI is an independent intelligence service, not affiliated with the U.S. Department of Defense. Budget figures are requests/estimates, not obligations.*