DIGITAL TRANSFORMATION
“It also allows an opportunity to transition the Army’s own S&T [science and technology] investments in AI and ML capabilities directly into a program of record. Competition and effective use of S&T efforts all contribute to cost savings.”
DEMONSTRATED ABILITIES Te Army already possesses some of the tools and components required for an end-to-end solution. Initiatives like Arcane Fire demonstrated the ability to deliver AI to programs during Project Convergence 22 and other experiments. Patel said that future development will focus on key tasks like data manage- ment, continuous integration and continuous delivery, test and evaluation, quality control, explainability (also referred to as interpretability) and trust.
PEO IEW&S has laid the ground for Project Linchpin to be successful, having worked with the Office of the Secretary of Defense’s Project Maven—the DOD’s most visible artificial intel- ligence office, designed to process imagery and full-motion video from drones and to automatically detect potential targets—since 2018, to understand how to deliver AI capabilities to the Army.
CONCLUSION Project Linchpin aims to provide an AI infrastructure. “Te goal is to create a complete and efficient AI and ML development and delivery pipeline for sensor programs within PEO IEW&S to provide needed capability while managing cost and risk.” said Kitz. “And it has the potential to create a new, dynamic market- place for industry partners to compete and deliver the best tools, algorithms and models.” He said that, pending OASA(ALT) concept approval in fiscal year 2023, a campaign of learning and formal initiation of Project Linchpin would follow. After that, an S&T transition plan could be implemented along with future contract activities.
In terms of overmatch, Anderson compares AI and ML capa- bilities to the advantage night vision provided the Army when it was first fielded. “You can make a direct comparison in that night-vision goggles and optics allowed the Army to ‘see’ where there was no visibility. AI and ML capabilities for sensors, like object detection, provide overmatch by going one step further— AI allows sensors that can see to detect, recognize and identify. Tey can perform functions that only human eyes could do, but they can do it faster and at scale across the entire battlespace.” Project Linchpin is critical because it provides the mechanism to continuously deliver that advantage to sensors so the Army can make decisions faster than its adversaries and enable targeting and overmatch with long-range precision fires and other effects.
THE FUTURE OF UAS
A Jump 20 Group 3 unmanned aerial system takes off on Oct.13 at San Clemente Island, California, during Project Convergence 22. At Project Convergence, all U.S. military services, as well as international partners, are experimenting with distributed sustainment of unmanned aerial systems over extended distances in a maritime environment. (Photo by Spc. Collin MacKown, 14th Public Affairs Detachment)
For more information, go to
https://peoiews.army.mil/ or contact Larry Glidewell at
larry.d.glidewell.ctr@
army.mil.
CHERYL MARINO provides contract support to the U.S. Army Acquisition Support Center at Fort Belvoir, Virginia, as a writer and editor for Network Runners Inc. and Army AL&T magazine. She holds a B.A. in communications from Seton Hall University and has more than 20 years of writing and editing experience in both the government and commercial sectors. In addition to corporate communications, she is a feature writer and photojournalist for a biannual New Jersey travel magazine.
https://asc.ar my.mil
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