18 juillet 2018 | International, Aérospatial, C4ISR

US Air Force looks to accelerate artificial intelligence contracts

FARNBOROUGH, England — The Air Force is still not moving fast enough to recruit the software talent that it needs to harness emerging technologies like artificial intelligence, its acquisition head said Tuesday.

"I don't think we're attracting enough people. Whether they're the right people or not, I think that's a separate question. I'm not sure that we'll be able to answer that until we're working with a broader set of the industry base that's working AI,” Will Roper, the Air Force's undersecretary for acquisition, technology and logstics, told reporters at Farnborough Airshow.

“I contend that the companies driving AI are a different breed of company than those who drive evolution in hardware, especially companies that drove hardware that have gotten us to today's military. The paces are faster, turnovers are quicker. Software is done in month cycles not year cycles.”

Over the past year, the Air Force has charted some successes and some failures in its attempts to integrate tech like AI and big data analytics with legacy hardware systems like fighter jets or air operations center.

It has established the Kessel Run Experimentation Lab, a group of industry and airmen in Boston that are iterating new capabilities for air operations centers. Instead of rolling out a large software package, the coders focus on app-like updates that can more rapidly insert new functionality into the AOC.

But it's also suffered setbacks — most notably, Google's stated intention to withdraw from future Defense Department projects after some employees objected to the company's work on Project Maven, a program would allow the Pentagon to use AI to review footage from drones. Some have worried that could have a chilling effect on future efforts.

Roper said that a big focus of his job is changing how the Air Force approaches software. In the past, software was a product that could be bought in cycles, just like a physical product like a missile or aircraft. Now, it's a service that must be reworked constantly, he said.

“You get a good set of coders in, they can push out so much code per month. You put them with the user that's going to use the code and together they're able to collaborate to make sure that the developer is creating something that the operator is using,” he said.

“That's working very well for us in Boston, and we're looking to expand that. That's the basic mechanism to move towards AI. We're going to need people that are working with us that are software people that are working, tweaking algorithms with the users that use them, and it's probably a different company than have worked with us over the past 10 years.”

The Air Force has to get those companies under contract faster, in weeks instead of months, Roper said. It's looking for opportunities to use contract vehicles specifically delegated for small businesses and to use AFWERX — its outreach arm to nontraditional contractors who are creating promising commercial technologies — to introduce startups to the service.

But Roper acknowledged there was no easy answer to the problem.

One possible way to inject AI into Air Force programs — although a mundane one — is to use it for predictive maintenance technologies that use sensors to forecast when a component will break, said Air Force Under Secretary Matt Donovan.

“It's very exciting for us and I think it holds a lot of potential to reduce our sustainment costs,” he said, noting that sustainment makes up a whopping 70 percent of the life-cycle cost of any given product.

Roper agreed that sustainment was a great area to begin employing AI, and that experience could help the Air Force begin to figure out how to use the technology for classified applications.

https://www.defensenews.com/digital-show-dailies/farnborough/2018/07/17/air-force-looks-to-accelerate-artificial-intelligence-contracts

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    By Steve Trimble The U.S. Air Force has released the full, sweeping vision for the Advanced Battle Management System (ABMS), a two-year-old concept that proposes to disrupt modern norms for the service's command-and-control doctrine, military acquisition policy and industrial participation. The newly released ABMS architecture defines not a traditional program of record but 28 new “product lines” divided into six major components. The implementation strategy is not focused around traditional acquisition milestones measured in years, but rather development “sprints” fielding morsels of new capabilities every four months. The rights for much of the technology, including a new radar, communication gateway and software-defined radio, are claimed not by an industrial supplier, but by the Air Force itself. USAF adopts lead systems integrator-like model ABMS architecture built on government ownership The release of the strategy on Jan. 21 comes three weeks before the Air Force plans to release a budget plan that would shift $9 billion over the next five years for a “Connect the Joint Force” initiative. The proposed funding would come from retiring certain capabilities, including aircraft fleets, within the next five years, with a clear implication: The Air Force is willing, if Congress approves, to trade some capability now to obtain the ABMS over time. “I think of it as we're finally building the ‘Internet of Things' inside the military, something that is very overdue,” says Will Roper, assistant secretary of the Air Force for acquisition, explaining the ABMS to journalists during the unveiling of the architecture in the Pentagon. The scale of the project's ambition has evolved since the ABMS was first proposed in 2018. Air Force leaders unveiled the concept two years ago as a replacement for the airborne Battle Management and Command and Control (BMC2) suite on the Northrop Grumman E-8C Joint Stars fleet. By September 2018, Roper first suggested the same technology could be applied to replace the aging fleet of Boeing RC-135 Rivet Joints and, sometime in the 2030s, the Boeing E-3C Airborne Warning and Control System. Those aims remain intact, but the revealed architecture clarifies that the goals of the ABMS are far broader. If the system is fully realized, the Air Force will create a “combat cloud” on a mobile ad hoc network, transposing the Internet of Things model from civilian technology to the battlefield. As a result, the nearly four-decade-old concept of a centralized command-and-control center—either ground-based or airborne—would be swept away by a future, decentralized digital network. Using computer processors and software algorithms instead of humans, machines would identify targets from sensor data, select the weapons and platforms to prosecute the target automatically, and finally notify the human operator when—or, crucially, whether—to pull the trigger. Roper compares the ABMS' effect on command and control to commercial services on a smartphone, such as the Waze app for drivers navigating traffic. Waze is not driven by a human staff monitoring and reporting traffic hazards, who then review each request for directions and customize a recommended route. Instead, Waze harvests traffic and hazard data from its users, while algorithms mine that information to respond to user requests for services. 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You can count them,” he says. “But the internet is not something that's easy to count or quantify, even though we're all very aware of its power.” The Air Force has briefed congressional defense committee staffs on the ABMS concept, but some remain skeptical. A Capitol Hill staffer familiar with the ABMS program doubts that other services will support the Air Force's vision. The ABMS model also appears unlikely to be embraced by industry, the staffer says. A key point of Roper's plan requires companies to cede some intellectual property rights on key elements of the ABMS architecture to the Air Force. But the Air Force is not waiting. Development of the ABMS started last year, even before an analysis of alternatives is completed. 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