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US Army Tests ULTRA AI Unmanned Ground Vehicle During Ex Agile Spirit 2025

Monday, August 4th, 2025

During exercise Agile Spirit 2025 at the Combat Training Center, Vaziani Training Area, Georgia, members of the 1st Squadron, 91st Cavalry Regiment, 173rd Airborne Brigade, tested the Uncrewed Long-range Transport Autonomy (ULTRA) Fully Autonomous Tactical Vehicle.

Manufactured by Overland AI, ULTRA relies on their OverDrive autonomy software to negotiate terrain using inputs from the vehicle’s suite of onboard sensors which include, stereo cameras, light detection and ranging tech, thermal imagers, inertial measurement units, and GPS-denied localization tools.

ULTRA is an all-wheel, off-road drive vehicle with a maximum speed of 35 miles per hour. It can deliver up to 1,000 pounds with a cruising range of 100 miles at 20 miles per hour (terrain dependent).

Their TAK compatible command and control system is called OverWatch which allows one-to-many control by humans in the loop enabling them to task and execute missions while keeping their focus on immediate threats and tactical objectives.

ULTRA accepts modular mission payloads and can be configured for a variety of applications:

1. Reconnaissance and strike
2. Layered counter-UAS protection
3. Breaching
4. Resupply & logistics
5. Rapid and decisive maneuver
6. Spectrum and terrain shaping
7. CASEVAC
8. CBRN detection and decontamination

Specs:

This month, Overland AI personnel will demonstrate a C-UAS and intelligence, surveillance, and reconnaissance (ISR)-enabled ULTRA for Under Secretary of Defense for Research and Engineering (OUSD R&E), as well as the Army and United States Special Operations Command (SOCOM).

US Army photo at top by SGT Alex Lopez

Lower Army photo is by SGT Cameron Boyd

U.S. Army National Guard video by SGT Ehron Ostendorf

NGA and XVIII Airborne Corps Successfully Tests New AI Tool

Tuesday, July 29th, 2025

Members of the National Geospatial-Intelligence Agency’s Warfighter Support Office, the U.S. Army’s XVIII Airborne Corps, a national lab and a technology company tested artificial intelligence capabilities near Fort Bragg, North Carolina, May 5-8.

The team tested a prototype capability known as the GEOINT AI/ML Based Light-Edge Resilient system, or GAMBLER. It is a set of mission-focused AI capabilities aimed at directly supporting warfighters in the field. The system uses unclassified video and still images from tactical sources and rapidly identifies, locates and catalogues detected objects. GAMBLER can then disseminate the data to handheld devices and to upper networks for situational awareness.  

“One of those problems we are working on is moving the ability to make AI models in the field that are integrated into the warfighters collection, processing and dissemination paths … especially in communication challenged environments,” said NGA’s Warfighter Support Office director.

During the testing, the team performed multiple test objectives, including data and scenario collection, real time model construction, processing of detections and distribution to multiple systems.

“GAMBLER is designed be operated by the warfighter,” said the office’s chief engineer. “It’s about pairing the capabilities of GEOINT, machine learning, AI and mesh networks to reduce the amount of time it takes to identify important objects and quickly pass that tactical situational awareness along to where a decision can be made or action taken.”

It enhances the warfighters use of AI and GEOINT at the tactical edge to support any number of military missions, he added.

Also, the team designed scenarios in which personnel were moving around a village training area and tunnel system with backpacks, weapons and bags to determine illegal or illicit activity by individuals, for potential use for security missions.

GAMBLER is designed to support users in denied, degraded, intermittent and latent environments. To do this, GAMBLER supports multiple communications paths.

The agency’s Warfighter Support Office team tested this capability during the exercise. 

With support from service members at Fort Bragg and Fort Huachuca, Arizona, the team tested new software that allows detections and image tiles to be sent over different frequencies for long distances.

The team successfully distributed image detections via portable radios to locations across the United States.

Another significant objective was to test the performance of the GAMBLER software on low-cost, small-form-factor hardware.

Without adapting the software or models, the smaller system performed very well compared to the larger original system. These modifications drastically reduce the GAMBLER footprint, and uses much less power.

The lessons learned, test measurements and improvements are already being designed and implemented for the next version of GAMBLER.

Via Geospatial-Intelligence Agency’s Warfighter Support Office

USSF Opens Registration for Second Annual AI Challenge

Tuesday, June 24th, 2025

ARLINGTON, Va. (AFNS) —  

Registration is now open for the United States Space Force’ s second annual Artificial Intelligence Challenge.

The 2025 U.S. Space Force AI Challenge runs from July 16, 2025 and culminates with the awards ceremony at the Space Power Conference in Orlando, Florida, in December 2025. This year’s challenge is designed to foster collaboration and innovation in AI. Participants form teams, engage in learning sessions, and develop AI solutions to address challenges. Teams will present their solutions to technical experts for scoring, and based on scoring, select teams to present their solutions to Department of the Air Force senior leaders in October.

“The 2025 AI Challenge is a team-building activity focused on solving staff, acquisition, and operational problems,” said Col. Nathan Iven, acting deputy chief of Space Operations for Cyber and Data at Headquarters, Space Force. “This experience is designed to support innovation and encourage Guardians to leverage disruptive solutions like AI to gain advantage over the pacing threat.”

Open to all military branches and government agencies, teams must have a Space Force Guardian (officer, enlisted and/or civilian) as their lead, and can compete in three categories – Operations, Space Acquisitions or Staff Support.

Five awards will be presented: best AI solution in each of the three functional areas [operations, space acquisitions, staff support], Guardians’ choice, voted on by the Guardian workforce, and grand prize winner.

AI plays a central role in enhancing data utility and providing the analytical power needed to analyze large volumes of data. Chandra Donelson, Data and AI officer for the U.S. Space Force, stated, “I look forward to the solutions our Guardians will build and, more importantly, the partnerships they will establish during this year’s challenges.”

By participating, Guardians and other participants will increase their AI literacy and team-building skills to develop innovative solutions to real-world challenges. Senior leaders are encouraging Guardians to take advantage of the educational series, designed to provide participants with a foundational understanding of AI concepts to facilitate innovation. The Space Force AI Challenge addresses key tasks captured in the Fiscal Year 2025 Data and AI Strategic Action Plan.

Challenge rules

Team Composition: Each team requires a Space Force Guardian (officer, enlisted and/or civilian) as the team lead. Participation is open to all military branches and government agencies.

Tools: Participants are responsible for bringing their own government-approved tools and use publicly-available or fabricated data.

Final submission: Teams must submit a 3–5-minute concept video of their solution, a one paragraph narrative explaining the product, and a 3-5 slide presentation slide deck.

Semi-final judging: Judges will consist of U.S. Space Force data and AI experts/leader who will score the AI solutions against standard criteria. Winners and honorable mentions will be recognized from each functional area.

Guardians choice: All Guardians will have the opportunity to select their favorite solution via online-voting.

Senior leader pitch: Each functional area winning team will have 5 minutes to present their solution and demo their work to a board of senior leaders.

For more information and links to register please visit our CAC enable Guardian One site, or visit our U.S. Space Force AI Challenge MS Teams.

Secretary of the Air Force Public Affairs

Air Force DASH Pioneers Human-Machine Teaming for Faster Battle Management Decisions

Monday, June 23rd, 2025

LAS VEGAS (AFNS) —  

The Department of the Air Force took a bold step toward future command and control capabilities with the successful completion of its first Decision Advantage Sprint for Human-Machine Teaming, or DASH, experiment, recently held at the Howard Hughes Operations Center, or H2O, in Las Vegas, Nevada.

“The DASH experiment showed how machine support can dramatically reduce decision time and improve decision quality for air battle managers working in complex operational environments,” said Col. Christopher Cannon, Advanced Battle Management Cross-Functional Team lead. “Battle management teams were exercising command and control decision advantage.”

This two-week event brought together operational U.S. and Canadian warfighters, industry and Shadow Operations Center-Nellis software developers, to prototype microservices aimed at accelerating and improving decision-making in high-tempo battle management scenarios framed by the Transformational Model for Decision Advantage developed by the ABMS CFT.

“To deliver meaningful capability to the joint force, we must co-develop with industry partners who can iterate rapidly and help us operationalize software to meet urgent warfighter needs for today’s challenges and tomorrow’s fights. DASH experiments accelerate delivery of C2 and intelligence microservices that go beyond user interfaces and dashboards to directly address the (Combined Joint All-Domain Command and Control) imperative for decision advantage,” said Col. Jonathan Zall, ABMS Capability Integration chief.

Led by the ABMS CFT in partnership with the 711th Human Performance Wing, the Air Force Research Laboratory, the Integrated Capabilities Command and the 805th Combat Training Squadron, also known as the ShOC-N, the event focused on a critical subfunction of the Transformational Model – Battle Management: Perceive Actionable Entity.

“This is not just about accelerating data,” Cannon said. “It’s about accelerating decisions. DASH lets us move beyond buzzwords and into real-world prototyping, software built around the actual decisions our warfighters must make under pressure.”

The Transformational Model – Battle Management: Perceive Actionable Entity function determines which actions are possible, permissible and desirable against an operational entity, from targeting to rescue to resupply. Four selected industry teams and a ShOC-N coding team partnered with Total Force and Royal Canadian Air Force air battle managers in a simulated, high-pressure combat environment, building and testing code designed to help warfighters make faster and more effective decisions.

“Our C2 systems are still putting the burden of complex decision-making entirely on the human; this sprint starts to change that by giving our Airmen digital teammates that help them perceive, decide and act faster,” said Lt. Col. Shawn Finney, 805th CTS/ShOC-N commander, Nellis Air Force Base, Nevada. “The ShOC’s H2O center serves as an unclassified software development and vendor engagement hub allowing the DASH teams to rapidly code.”

From concept to capability: DASH in action
DASH participants were challenged to develop working software that output “Battle Effects,” battlefield-changing recommendations bounded by operational constraints like rules of engagement and time sensitivity. The tools were not pre-prescribed in format or interface, allowing developers flexibility in how their software performed decision-making and delivered information.

“What set the DASH experiment apart was its deliberate depth, driven by a focus on the end-user’s specific challenge. Instead of a generalized showcase, concentrating intensely on the PAE function allowed a rigorous evaluation of how advanced tools integrate into the operator’s critical workflow. This targeted, user-centric approach is key to genuinely operationalize agentic AI where it matters most, yielding concrete insights for the warfighter,” said an industry participant.

To measure the impact of human-machine teaming, the experiment was conducted in two phases. First, battle managers executed a combat scenario using only their existing tools and training—without any machine assistance. This established a performance baseline. In the second phase, they faced similar but not identical scenarios, this time with prototype decision-support tools developed during the sprint. By comparing performance across both scenarios, the assessment team measured how much the software improved decision speed and accuracy.

“The DASH experiment isn’t just a coding sprint—it’s a learning environment. Industry teams bring diverse perspectives and technical approaches that push us to think differently about C2. That collaboration accelerates our ability to deliver functional software and refine requirements for the entire enterprise,” said Lt. Col. Wesley Schultz, 805th CTS/ShOC-N director of operations.

The TM-BM DASH approach allowed for rapid development of machine teammates with clear, testable goals.

“DASH is the start of a new model for C2 software acquisition — one that begins with the decision, not the platform,” Cannon said. “We’re not buying software to display more data. Coders are building software that actively helps operators transform that data into measurably better battle management.”

Battle managers participating in the experiment responded positively, with anecdotal evidence suggesting the tools helped them process information more effectively and improve confidence in their decisions. Importantly, the tools required minimal training, reflecting the DASH experiment’s emphasis on lightweight, adaptable integration. Operators engaged directly with developers to refine the tools in real time, offering interface feedback that improved usability during the sprint itself.

“It was an incredible opportunity to be part of the inaugural DASH human-machine interface effort in battle management. I’m always looking for new ways to help make our force more expeditionary, more precise, and ultimately, more lethal,” said 1st Lt. Bennie Crawford, Georgia Air National Guard, 116th Air Control Wing, Robins AFB, Georgia.

ShOC-N: The engine behind DASH
The ShOC-N staff and facility played a critical role in the DASH by crafting the combat-representative scenario, using modeling and simulation technology presenting this simulated battlespace using an unclassified environment, reducing the barrier to entry for industry.

“At ShOC-N, we don’t just simulate conflict, we simulate decision pressure. The DASH experiment gave us a chance to immerse software developers in the reality our warfighters face, so the tools they build are operational from day one,” Finney said.

ShOC faculty also provided operator instruction and facilitated final outbriefs to senior stakeholders from Advanced Battle Management System Cross-Functional Team, Air Force Research Laboratory, Integrated Capabilities Command and 711th HPW.

“Our initial analysis illustrates that when the software developers’ tools were applied, not only did the human-machine team’s average decision-making time decrease seven-fold, but software ‘machines’ responded to more than twice as many dilemmas as the humans alone, and microservices generated three times the number of valid solutions, what we call ‘Battle Effects’,” Cannon said. “Machine answer errors were on par with human error, not bad for a week’s worth of coding. We demonstrated that machines absolutely helped, software services helped, but we also demonstrated that we can in fact build a software microservice that allows this to happen and gives us a more capable human-machine team.”

Each DASH enriches valuable software requirements that will find their way into future C2 requirements and gives participating industry early insight and practice in crafting their answers to those requirements. The experiment validated a repeatable, scalable methodology: design, develop, deploy and evaluate. This approach will guide future sprints across a growing catalog of decision functions. All findings, including technical and functional requirements, will inform future C2 software strategies and investments across the DAF’s C2 enterprise.

Beyond the sprint: The future of human-machine teaming
The DASH experiments translate abstract concepts like “decision advantage” into tangible, testable software capabilities. It marks a shift in Air Force capability development culture, developing functional and technical requirements alongside warfighters, with code in hand.

“Decision advantage is the capability gap that underwrites all others,” Finney said. “With DASH, we’re not just closing that gap, we’re coding directly into it.”

The ABMS CFT, in partnership with the 711th HPW, AFRL Information Directorate, ICC, and the 805th Combat Training Squadron, will host two additional DASH events later this year, each focusing on a different decision function within the TM-BM model.

“This is where theory meets execution,” Zall said. “We’ve spent years defining what decision advantage looks like. DASH is about delivering it by building software that helps our operators act faster and smarter than our adversaries. As the Air Force continues to iterate, experiment and evolve, the human-machine team will remain at the heart of the Department’s push for decision advantage.”

By Deb Henley

505th Command and Control Wing Public Affairs

Raft Acquires N3bula Systems to Accelerate Mission-Critical AI Defense Innovation

Wednesday, June 18th, 2025

Strategic Acquisition Powers AI and Data Backbone for a Unified Joint Force—Raft Leads the Charge in Defense Modernization

MCLEAN, Va., June 17, 2025 — Raft, the defense technology leader powering a new era of autonomous warfare, today announced its acquisition with N3bula Systems—a powerhouse partnership that will dominate the next era of unified joint force operations. N3bula Systems—the pioneering team behind a critical defense infrastructure that seamlessly connects sensors, shooters, and weapons systems across services and domains—selected Raft from a highly competitive field, fusing proven fires integration expertise with cutting-edge agentic AI to deliver the unified, machine-speed operational backbone that transforms how America fights and wins. 

“N3bula Systems is one of the most impactful teams in defense technology—the minds behind a critical defense infrastructure,” said Shubhi Mishra, Founder and CEO of Raft. “They chose to partner with us because we represent a New Prime. We embed directly with warfighters as trusted edge nodes, scale proven AI across mission-critical operations, and deliver real solutions to real battlefield problems—faster than established players. This signals a fundamental shift toward edge-native defense innovation.

The acquisition creates a unified AI and data backbone that transforms fragmented military systems into a seamless, machine-speed operational network. This directly supports the new administration’s defense priorities while advancing critical initiatives like Golden Dome and supporting the mission for the Department of the Air Force’s PEO C3BM.

“The decision came down to mission alignment and execution capability,” said Ryan Mize, Founder and President of N3bula Systems. “Raft demonstrates consistent delivery of what warfighters actually ask for. As a new prime, they represent the future of defense contracting—impact over bureaucracy, and we want to be part of that.”

N3bula Systems, founded in 2020 and headquartered in Colorado Springs, engineered the connective tissue for modern joint operations across the U.S. Navy, DARPA, and U.S. Air Force programs. Combined with Raft’s agentic AI products like its AI Mission System, [R]AIMS, the partnership enables 10x faster decision-making through autonomous data fusion while providing 24/7 threat monitoring, zero-latency tactical-to-strategic handoffs, and 99.9% uptime in contested environments. Together, they create seamless AI agent deployment across both legacy and modern military systems.

“N3bula Systems’ infrastructure expertise combined with Raft’s agentic AI creates unified command and control operating at machine speed across every domain,” said Bhaarat Sharma, CTO of Raft. This technological combination enables the seamless sensor-to-shooter integration that military leaders have identified as essential for maintaining operational advantage against near-peer threats at global scale.

Since 2018, Raft has grown to 350+ Rafters and is trusted by 25+ federal agencies while maintaining the agility that enables delivery of exactly what warfighters need. This acquisition—Raft’s first since receiving Washington Harbour Partners investment in May 2024—represents a decisive step toward scaling innovation while preserving the mission-first approach that differentiates Raft from established defense contractors. “With this flight, Raft is continuing to help solve the hardest challenges facing the national security ecosystem with a clear eye on the mission,” said Mina Faltas, Founder and Chief Investment Officer of Washington Harbour Partners. “Washington Harbour has been proud to support Raft and looks forward to continuing to work together to ensure our military and warfighters have the capabilities necessary to win.”

Together, Raft and N3bula Systems will continue building the AI and data backbone that unifies operations across domains and allied forces, accelerating kill chains and decision-making to the speed of the fight while ensuring decisive advantage in any operational environment.

For more information about Raft, please visit: www.teamraft.com

Overland AI Demonstrates Soldier-Led Autonomy Across Day and Night Operations

Monday, June 16th, 2025

FORT LEONARD WOOD, Mo., June 10, 2025 — Overland AI’s fully autonomous tactical vehicles, ULTRA, were deployed across 15 live mission scenarios to comprehensively demonstrate end-to-end, Soldier-operated ground autonomy.

ULTRA, Overland’s fully autonomous tactical vehicle, operating in dense forest and utilizing tree line for cover during mission scenarios at Fort Leonard Wood, Mo.

Soldiers from the 555th, 36th, and 20th Engineer Brigades, and the 173rd Airborne Brigade, executed these 15 missions using two ULTRAs. They also leveraged Overland’s tactical C2 interface, OverWatch, to plan, execute, and adapt operations on the fly. From pre-operation vehicle checks, payload swaps and munition loading, to mission planning and execution in OverWatch, the experimentation event was conducted almost entirely by end users.

“This was a particularly unique event,” said Chris Merz, who serves as the director of product at Overland AI. “Nearly every phase of the operation—from munition loading to software-based replanning—was in the hands of the Soldier. We saw real independence from the operator, not just in planning and execution, but in adapting tactics in real time.”

ULTRA deploying smoke deception to confuse the enemy and create an element of surprise during a day mission in wooded terrain.

Participating units were tasked with planning complex, multi-vehicle missions. Soldiers used ULTRA’s modular platform for kinetic and electronic warfare breaching, terrain shaping with XM204s, deception, obscuration, and delivery of third-party payloads, including uncrewed aerial vehicles (UAV) and electronic warfare (EW) capabilities.

Overland’s autonomy stack is highly adaptable in the field. Some operators re-tasked vehicles mid-mission in response to enemy activity and adjusted payload configurations under time pressure with little notice. Other operators, planning two simultaneous terrain-shaping missions with over 20 checkpoints and five tasks per vehicle, took less than three minutes to plan.

A Soldier from the 555th Engineer Brigade plans a series of missions with ULTRAs using OverWatch, Overland’s intuitive, tactical command and control (C2) interface.

“Our mission is to empower the Armed Forces to dominate any and all missions they need to accomplish,” said Byron Boots, co-founder and chief executive officer of Overland AI. “This wide-ranging event showed that Soldiers both trust our autonomous land systems and can leverage our versatile capability from start to finish.”

Overland AI remains committed to advancing autonomous military technologies, having previously secured an $18.6 million contract with the U.S. Army and the Defense Innovation Unit (DIU) to develop autonomy software for the Army’s Robotic Combat Vehicle (RCV) program. The company continues to support a range of U.S. military programs, including the U.S. Army, Marine Corps, and Special Operations Command.

To learn more about Overland AI and see open roles, visit www.overland.ai.

Senior Special Ops Leader Highlights AI’s Usefulness Beyond Battlefield

Thursday, June 5th, 2025

Although the U.S. Special Operations Command has embraced incorporating artificial intelligence into the 21st-century battlespace, one senior special operations forces leader noted that AI has non-tactical uses, which are proving very advantageous for the SOF community.

While speaking at the AI+ Expo in Washington today, Socom’s vice commander, Marine Corps Lt. Gen. Frank L. Donovan, said AI tools are helping the command build its budget and run more efficiently at the administrative level.

He admitted that talking about budgets “doesn’t sound exciting,” but it’s important to Donovan to “show that we have a good return on the investment” that American taxpayers make in Socom. 

“We use this tool, integrating data from across multiple databases into a single pool, and [then] use generative AI to deliver insights and provide true courses of action to make sure that our baseline budget and our top line remains about constant,” he explained.

He added that such a process helps ensure the command is executing operations globally while cutting away excess and modernizing at the same time.

In terms of how human capital relates to budgeting, Donovan said the people who contribute to the process are still necessary for their valuable insights.

“We can have a large number of staff officers doing that type of work, and we want them still in the loop to provide their expertise,” he said. “But [with AI], we can move quicker — with more volume and data — to make a better decision.”

Socom has made significant AI-related inroads over the past year, particularly when it comes to software.

Last month, one industry expert said he would rate Socom’s overall progress on AI development as a “six or seven” on a scale of one to 10, noting that he sees areas where the command can continue to grow, including further integration of AI into legacy hardware systems.

Currently in its second year, the AI+ Expo is a forum for industry, government and academic research entities to exhibit some of the latest technological breakthroughs in AI, biotech, energy, networks, microelectronics, manufacturing and augmented reality, as well as discuss their implications for U.S. and allied competitiveness.

By Matthew Olay, DOD News

Army Scientists Train Soldiers on How to Leverage AI Technologies

Thursday, June 5th, 2025

ADELPHI, Md. — A cohort of 25 Soldiers and three civilians mastered the fundamentals of artificial intelligence and machine learning as part of a special course taught by experts at the U.S. Army Combat Capabilities Development Command Army Research Laboratory, also known as DEVCOM ARL.

Mid-career Army officers, warrant officers and non-commissioned officers traveled from across the nation to attend the course. The goal was for participants to finish the course with an in-depth understanding of how they might leverage AI for their particular role in the Army.

“The instructors did a phenomenal job breaking down complex concepts like convolutional layers, generative adversarial networks and transformer models into digestible lessons, even for non-technical folks,” said Capt. Nathan Jackson, an active-duty air defense artillery officer stationed at Fort Knox, Kentucky. “I now see clear opportunities for AI to support everything from predictive modeling of officer career paths to optimizing air defense planning.”

This course, led by DEVCOM ARL researchers Dr. Mark Tschopp and Dr. Reginald Hobbs and Maj. Matt Work from the U.S. Army Futures and Concepts Center, represents one way that DEVCOM ARL prepares Soldiers for a future operating environment dominated by artificial intelligence.

“AI holds the extraordinary potential to swiftly analyze the deluge of data present within the future battlefield and to deliver actionable insight to Soldiers at the speed of relevance,” Tschopp said. “We want this course to equip Soldiers with the knowledge and decision-making capabilities to harness AI as a tool to gain a competitive edge over our adversaries.”

ARL launched the Artificial Intelligence for Soldiers course as part of the Army G-3/5/7’s Strategic Broadening Seminar program in 2024 to provide Soldiers with a unique learning opportunity in a critical technology domain.

The course features classroom seminars, guest lectures by Army leaders, tours of ARL research facilities and close-up demonstrations of the laboratory’s latest AI and robotics technology.

During the span of one week, course participants were provided a wealth of information that not only illuminated how AI systems work but also highlighted AI’s nature as a tool with real limitations and specialized applications. Once the course established a solid foundational understanding of AI and ML for the participants, the program coordinators demonstrated to the Soldiers the various ways that Army researchers have implemented AI in Army technology so far.

“It was fascinating to learn where AI opportunities are being explored and what AI limitations that scientists are trying to overcome,” said Maj. Mathew Miller, Army acquisition officer. “I was most impressed with where ARL scientists are applying AI now. I feel much more empowered to approach industry on the topic of AI, and I hope to reach out to ARL scientists in the future as a resource for attacking acquisition challenges.”

The course concluded on Friday with capstone presentations by the participants to Army senior leaders. Each team showcased what they had learned and proposed a new AI-driven capability that would address a future Army need.

U.S. Army’s Director of Strategy, Plans and Policy Maj. Gen. Stephanie Ahern congratulated the course participants for their growth and stressed the importance of continued education and engagement in this technology space.

“This course was about developing you all—as some of the Army’s rising leaders—to meet the challenges ahead,” Ahern said. “Your ability to work with experts who are working with AI every day and your ability to apply AI in the field are extremely essential to the Army mission. Please continue to be an agent of change; you are a part of the solution, and you are not in it alone.”

By U.S. Army DEVCOM Army Research Laboratory Public Affairs